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Article

Priority Stakeholders’ Perception: Social Responsibility Indicators

by
Rosane Maria Seibert
1,*,
Clea Beatriz Macagnan
2 and
Robert Dixon
3
1
Applied Social Sciences Department, Campus of Santo Ângelo, University Regional Integrada do Alto Uruguai e das Missões (URI), Santo Ângelo RS 98.802-470, Brazil
2
Business School Department, Campus of Porto Alegre/RS, University of Vale do Rio dos Sinos (UNISINOS), Porto Alegre RS 91.330-002, Brazil
3
Business School, Campus of Durham, Durham University (DUBS), Durham DH1 3LB, UK
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(3), 1034; https://doi.org/10.3390/su13031034
Submission received: 24 December 2020 / Revised: 15 January 2021 / Accepted: 18 January 2021 / Published: 20 January 2021
(This article belongs to the Special Issue Sustainable Economy for the Common Good)

Abstract

:
This study aims to build a list of composite indicators by information that enable the assessment of philanthropic higher education organizations’ (PHEOs) social responsibility based on the interests of their stakeholders. A list of 88 social responsibility indicators was built based on a literature review and stakeholder interest to serve as a basis for the composite indicators. In order to identify and validate the indicators, field research was carried out. Stakeholders from Brazil and the United Kingdom scored them from one (not important) to five (very important) for each indicator identified in the literature review. With 540 valid answers, they suggested inclusions and exclusions according to their interests. Next, a correlation analysis was performed to identify and eliminate redundant indicators. The principal component analysis extracted the composite indicators. The results point to 11 principal components that are configured as composite indicators to evaluate the performance of PHEOs social responsibility considering the stakeholder’s interests, a factor that differentiates this research from the literature revision done. Some of the composite indicators are close to the social responsibility categories reviewed in the literature. However, others show more specific and in-depth interests, especially regarding the stakeholders themselves. These composite indicators help managers establish disclosure policies whenever they are focused on seeking legitimacy in the social context of PHEOs. It also contributes to the advancement of theoretical knowledge, presenting composite indicators, from the stakeholder’s perspective, for the disclosure of social responsibility of PHEOs.

1. Introduction

Social responsibility is a key concept for management and sustainability of organizations. It involves all the organization’s activities and the value chain, and considers the stakeholder perspective [1], while legitimizing the organization itself [2,3,4,5], it is a complex and constantly evolving concept [1,6,7,8,9,10,11,12,13,14,15,16] that must be understood in the macroeconomic development. In other words, social responsibility means adopting behaviors that go beyond the indicative metrics of economic growth, namely gross domestic product (GDP) and/or per capita income. It means social welfare, which must also be measured by the other components comprising the human development index [17].
Thus, social responsibility can be classified into dimensions or categories (hereafter considered categories): Economic, financial, environmental, social, ethical, legal, products and services, strategic, governance, and stakeholders [3,18]. Therefore, the performance of organizations should not be analyzed solely based on economic and financial results. The analysis should include information covering the other categories of social responsibility and, in addition to indicators with quantitative characteristics, should include indicators with characteristics qualitative and mixed [9,17,18,19].
Establishing indicators with characteristics quantitative, qualitative, and mixed [20] to measure the organizations’ social responsibility is a challenge that some researchers have faced at least over the last fifty years [3,21,22]. Scaling organizational social responsibility means assessing the extent to which organizations incorporate each category into their activities. For this assessment to be possible for several stakeholders, it is necessary that, in addition to the organization acting with social responsibility, it must also be transparent and accountable. One of the main ways to reach several stakeholders is through the disclosure of information in the communication channels of organizations [23].
Philanthropic higher education organizations (PHEOs) surveyed are similar in that they are philanthropic, that is, they are maintained by tuition fees from their students and tax benefits. Brazilian PHEOs have characteristics of non-profit organizations, where equity contributors are not set up as owners, and therefore, there is no alienable claim to liquid assets and surpluses must be reinvested in the organization itself. Complementary, PHEOs have tax benefits granted by Brazilian legislation [24,25,26] and operate in a society undergoing economic development. On the other hand, the United Kingdom is configured as a developed economy, in which most universities are philanthropic, and the University of Durham is one of them. It is noteworthy that Durham University, like most universities in the United Kingdom, has students from different countries, mainly from Asia. At undergraduate level around 40% of students and at graduate level around 60% of students come from abroad. At all UK universities, students from the UK are subsidized by the government and students from abroad pay fees. Considering the common characteristics among UK universities, Durham University is a qualified representative of UK universities.
The Office for Students (OFS) was established by the Higher Education, and Research Act [27], promoting compliance with the philanthropic law and fair access to higher education at British universities. So, the PHEOs in which the research was developed (Brazil and UK) are similar in that they are universities that offer teaching at levels: Undergraduate and graduate, extension and research and are philanthropic organizations but differ in their institutional base. They are public, but their capital structure is not owned by the state. The fact that they are universities that work in different context, allowed better definition of the indicators.
PHEOs are organizations structured with basis on social contracts established with their stakeholders. These stakeholders can legitimize PHEOs or not, since stakeholders effectively support PHEOs, either by consuming their services and products or by providing charitable donations and tax benefits. In return for their support, stakeholders demand that PHEOs’ organizational activities are conducted with consonance with their own values [5,28,29]. Thus, for PHEOs, social responsibility accountability becomes fundamental due to the role they play with the communities where they operate. These organizations, in addition to the educational nature, receive government incentives, to remain active in their communities, returning social benefits. Therefore, they need to demonstrate compliance with their social contract [3,30,31,32]).
From another perspective, the regional factor influences the choice of what is important for the PHEOs’ disclosure [33]. This is because the regions are differentiated by economic development, territorial extension, multiracial population, and with different ethnicities, as well as by their social, educational, cultural, moral, religious, political, ethical, and behavioral characteristics [3,34,35,36,37,38,39].
So far, analyses of organizational social responsibility have been carried out based on indicators developed from three main methodologies: Literature review; a survey of the information evidenced in the annual reports and or on the internet pages; and survey with specialists. In addition, they have considered the categories identified in the literature, without considering differences within and between countries. Thus, this studies objective is to identify composite indicators by the information that enable the assessment of PHEOs’ social responsibility based on the interests of their priority stakeholders, coming from different regions and from both countries. This relationship aggregates several indicators creating a principal component model and uses the strength of composite indicators to evaluate the performance of organizational social responsibility. Social responsibility indicators are a way of representing an informational reality about the organization, which in this case refers to PHOE. Its usefulness is related to the possibility of improving communication, thus reducing the information asymmetry between the organization and the stakeholders [18,40].
Finally, it is highlighted that this article reached priority stakeholders from two countries (Brazil and the United Kingdom) from different cultural backgrounds and development levels, which may mean the adoption of sustainability policies with different characteristics [41]. However, the PHEOs of the two countries are similar in the social constitution form and provision of educational services. All of them have electronic internet pages containing, among others, information about their social responsibility practices. Neither were identified in the literature reviewed, indicators created from the expectations of its stakeholders, for the disclosure of PHEOS of either country. In addition, this research did not seek consensus on the main indicators, but rather to collect all the information considered relevant by the priority stakeholders, identifying, and validating indicators that go further than the reviewed literature. Following, the indicators were clustered by means of the principal component, creating the composite indicators which also are configured as the contribution of this research to the disclosure of PHEOs.
From the results obtained indicators, suggested by the stakeholders, in the research form, were not recognized in the reviewed literature. As well as some composite indicators created which are different from the categories of social responsibility found in the literature. Some of them show specific and in-depth interests, especially regarding the stakeholders themselves. These composite indicators will serve as an alternative for the social responsibility categories, regarding the advancement of theme knowledge, and will, also, serve as a basis for the establishment of the PHEOs disclosure policies attending to the priority stakeholders’ expectations.
Following, this article contains a literature review, methodological procedures, research results, final considerations, and references.

2. Literature Review

Social responsibility performance is measured by the impact of organizations’ activities on their stakeholders [42,43,44,45]. Stakeholders are the beneficiaries of organizational actions and have specific interests in them. They can affect and be affected by organizations. Therefore, they are those who evaluate their behavior, legitimizing them or not to remain in the communities in which they operate [2,4,5,18,46,47,48,49].
However, serving all the interests of all stakeholders may not be possible or strategic for organizations. In this sense, organizations should identify the key audiences that should be addressed primarily [3,50,51,52,53,54]. The priority stakeholders are the owners, collaborators, customers, suppliers, and the community where the organizations are inserted, that is, those that most directly affect or are affected by the organizations [3,48,54].
Social responsibility is an abstract attribute that cannot be directly observed in the products and/or services provided by organizations, which creates the need to disclose information about it to society. The informational efficiency on social responsibility requires the organization to establish strategies that focus on stakeholders. In other words, organizations should publish information that is of interest to key stakeholders, thereby establishing a competitive advantage [43,48,54,55].
Organizations use voluntary disclosure of social responsibility information to manage their performance. Such disclosure informs stakeholders of the impacts of the organization on the social system in which it operates [5,18,29,42,56]. There are several initiatives by entities to guide disclosure by organizations. These include the Sustainability Disclosure Database [57], Global Reporting Initiative (GRI) standards to general disclosure [58], ETHOS indicators for sustainable and responsible businesses [59], self-assessment policies and management systems for university social responsibility [60], International Standard of Social Accountability 8000 [61], Form 990 [62], Form 20-F [63], Brazilian Technical Accounting Standard 15-NBC T 15 [64], and guidance on corporate responsibility indicators in annual reports [65]. These initiatives were built upon listening to experts who are knowledgeable about social responsibility. They offer a general information perspective that attempts to embrace stakeholders’ demands. However, the diversity of the informational interest of stakeholders requires that they be heard to identify their demands and enable disclosure to contribute to the efficiency of the informational policy established by the organization [18]. If, on the one hand, specialists present idealized indicators, given their capacity and knowledge resulting from their training, on the other hand, stakeholders present a pragmatic perspective on information that they consider relevant. From this perspective, this study is relevant.
The empirical literature review also allows the recognition of propositions of information indicators that need to be disclosed. They are classified into categories which have been incorporated over the years and show the evolution of the concept of social responsibility [6,7,8,9,10,11,12,13,14,15,16,66]. The categories that can be cited are economic, financial, legal, ethical, social, environmental, of products and services, strategic, of governance, and of stakeholders [3,6,7,8,9,10,16,18,44,67,68,69,70,71,72,73].
It is worth noting that most empirical studies reviewed here use various ways to choose what to disclose. The most widely used methodology is the empirical analysis in disclosure media, mainly annual published reports of organizations [74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89], to name some of the most recent studies, and in annual university reports [90,91]. Undoubtedly, the organization’s report is an important source as it allows the shareholder to litigate against the organization whenever a conflict of interest is established because of the materiality of information. However, the annual report is configured as one of the communication channels, which requires a relative technical knowledge for its understanding, a feature that is not common among stakeholders. This restricts this source as a basis for the construction of social responsibility information indicators.
Other methodologies used to construct an indicators list are empirical literature reviews [88,92,93,94,95], specifically at universities [96]. As well as guidelines established by institutions organizations that recommend information on social responsibility that needs to be disclosed [97,98,99], specifically at universities [100,101]. However, both the empirical studies reviewed here, and the institutional initiatives start from an idealization about the interests demanded by stakeholders in terms of disclosure of information about social responsibility. In addition, the construction of indicators list is also identified through consultations with experts on the subject with the aid of statistical and econometric tools [102,103].
Virtually all these methodologies are based on a reference that is not configured in the manifestation of stakeholders since they were not asked about what the information would be, they would like to see disclosed, ending up ignoring their expectations. The exception has been the GRI, which listens to several stakeholders, but the organization establishes requirements for the reports of organizational sustainability, with specific rules for economic, environmental, and social aspects [58]. However, recently, the empirical literature reviews show that indicators considering stakeholders’ interests and/or expectations have been created, but that it is still incipient [3,18,104] due to the difficulty of listening to the interests of stakeholders or the complexity of the concept attributed to social responsibility.
Thus, to define representative information indicators, in addition to the stakeholder’s perspective, it is necessary to consider their adherence to some principles: Exact definition, easy interpretation, applicability, measurability, comparability, relevance, clarity, and representation of reality. They should reflect the abstract concept to be analyzed [20,105,106,107,108,109,110,111,112]. In addition, the frequency of assessments should be defined to evaluate the performance of organizations. The costs of obtaining and monitoring information should not exceed the benefits generated [18,42]. On the other hand, performance evaluation should not consider the predominant approach of analyzing the most widespread and therefore comparable standardized economic and financial indicators alone [42,56].
Indicators contribute to the knowledge of reality through representations. They are tools for measuring and monitoring reality [18,40]. Therefore, there is a need to listen to the interests of stakeholders in the process of creating indicators of the social responsibility of organizations. These indicators may represent information that establishes a legitimate relationship vis-à-vis the organization’s stakeholders in the community in which the organization operates. In addition, the composite indicator aims to “tell a story”, promoting greater latitude discoveries of a given phenomenon [113] (p. 776). In view of this, composite indicators are popular in some areas, such as in economics, for example, GDP, what increases in interest in them and, therefore, in their creation, covering several themes [113,114], the which can be extended to the PHEOs social responsibility.

3. Methodological Procedures

Many indicators are representative of organizations’ social responsibility, as evidenced by the empirical literature review. Their importance does not allow them to be ignored in this research. Thus, the first stage was configured by the construction of a list containing 95 social responsibility indicators, from the literature review of several theoretical and empirical articles on the topic [58,59,60,62,63,65,74,76,77,78,79,80,82,85,86,87,88,89,90,92,93,95,96,98,101,115]. The indicators were selected considering they should be related to the identified social responsibility dimensions; present in the largest number of reviewed literatures; or considered important and or complementary for the disclosure of PHEOs.
In the second stage, by building the indicators list, field research was carried out with priority stakeholders of PHEOs to verify interests for information about social responsibility and the relevance of each indicator in the initial list. It is noteworthy that in Brazil there are 1004 PHEOs subdivided into 798 colleges, 137 university centers, and 69 universities [116]. In the United Kingdom, there are 143 universities with characteristics of organizations with non-economic purposes [117].
To identifies the interest of the PHEOs’ priority stakeholders, a form was constructed where they were asked about the degree of importance of each indicator for the disclosure of PHEOs’ social responsibility. That is, for each proposed indicator, respondents assigned a score ranging from one (not important) to five (very important). In addition, stakeholders suggested inclusions of information considered relevant and exclusions of non-relevant ones, from their perspective. The form was applied in person in some cases and sent to PHEO stakeholders via social networks in others.
In the United Kingdom, at the Ethics Committee recommendation, the forms were applied in person and through the corporate intranet, reaching Durham University employees (professors and administrative staff) and students. In Brazil, some forms were also applied in person at PHEOs in the south of the country, reaching collaborators, students, suppliers, and some community representatives. The in-person application occurred in 12 PHEOs and resulted in 116 valid responses. In addition, the forms were sent by emails from several universities, from different country regions to students and collaborators. WhatsApp, Facebook, and Instagram were also used to send the forms, reaching the community in general. For this form of application, the number of PHEOs reached was not controlled. From the forms sent, 540 valid responses were obtained, as shown in Table 1. This stage of the research was concluded with a list composed of 88 indicators of information representing social responsibility (Appendix A).
Evaluations of indicators and stakeholder’s information-enabled descriptive statistics analyses [118,119]. Correlation and principal component analyses were used to reduce the number of indicators proposed and to extract principal components (composite indicators) that facilitate the assessment of the social responsibility of PHEOs. In other words, a set of indicators was transformed into a new variable, reducing the overall number of indicators and, even so, maintaining the possibility of measuring the organization’s social responsibility, through the composite indicators.
The first step of the principal component analysis for component extraction was to assess the suitability of indicators for the analysis. This evaluation was performed using two criteria: Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test [42,120]. Kaiser’s sample adequacy measure, the eigenvalue, assesses the adequacy of indicators by comparing the paired and partial correlation coefficients and assigns values between zero and one to them [3,42,121,122,123]. The Kaiser–Meyer–Olkin measure of sampling adequacy should have values above 0.60. However, it is preferable to be greater than 0.70 [124]. Bartlett’s test is used to test whether the variance of variables is homogeneous or not [125].
Cronbach’s alpha was also calculated. It is a measure of internal consistency of indicators and a reliability estimator of assessment, allowing determining the lower limit of internal consistency of a group of variables, thus validating the set of indicators of the sample and the components extracted. The suggested minimum threshold for this test is 0.7 [3,121,126,127]. Cronbach’s alpha and the Kaiser–Meyer–Olkin measure of sampling adequacy must be directly related [42,121,123].
Subsequently, the principal component technique that organizes uncorrelated components based on their decreasing variance was used. The first was the component with the greatest variance, and the last was the component with the smallest variance. The principal component analysis attempts to reduce the number of variables to illustrate the variance of the original variables better. The calculation of the load by the principal component method is considered unambiguous. The increase in the number of components does not change the original components [120,128]. A rotation of components was performed to facilitate the attribution of indicators to the extracted principal components. The orthogonal technique, i.e., rectangular varimax, was chosen for the rotation. Using this technique, the components remain uncorrelated after rotation [129]. Analyzing each line, it is possible to define the components of each principal component according to the variables that are most strongly associated [120]. The number of principal components was determined using Kaiser–Meyer–Olkin measure of sampling adequacy, and only components with values of 0.7 or higher were selected. They were also validated by Cronbach’s alpha, reaching values above 0.8. The calculations were performed using the software Eviews 9.5 and Excel 2013.

4. Research Results

This presents the topic of the descriptive statistics, correlation, and principal component analyses—the extraction of the principal components that are configured as composite indicators.

4.1. Descriptive and Correlation Analyses

Initially, some descriptive statistical information is presented from stakeholders in Brazil and the United Kingdom who responded to the survey. Of the 540 respondents, 224 are men and 316 are women. Of which, 194 did not complete higher education. While, 182 completed higher educations, 89 have lato sensu specialization, and 75 have stricto sensu postgraduate studies. It is noteworthy that, considering all stakeholders classified as priorities, of equal importance for PHEOs disclosure policies, their participation, in the research sample, was not proportional. The distribution by stakeholder type, country, can be seen in Table 1.
Regarding the 88 indicators evaluated by the stakeholders, who assigned values between one and five, a summary of the descriptive statistics is presented in Table 2.
The average score of all indicators together was: 4.03. The standard deviation shows that the variation between the assigned scores is low, which is also observed by verifying the minimum and maximum averages assigned by the stakeholders for the indicators’ set.
The indicators considered more and less important by the stakeholders are presented in Table 3. It is noteworthy that the research did not aim to compare perceptions between types of stakeholders, therefore, the results are general.
The correlation analysis was carried out to check correlated and redundant indicators to remove them from the list that served as the basis for building the composite indicators of organizational social responsibility. The value of the correlation coefficient expresses the intensity of relationships between indicators, making it possible to identify those that provide approximately similar information. Indicators showing a strong correlation (higher than 0.8) with statistical significance are presented in Table 4.
Based on the correlation analysis results, seven redundant social responsibility indicators were removed from the basic set for carrying out the principal components analysis: Profile of officers and board members, as they were included in the employee profile; selection process of officers and board members, as they were included in the employee selection process indicator; remuneration of officers and board members, also, because they were included in the compensation of employees; and surplus on revenue, because it is considered the best indicator of equity [130]. Therefore, 81 indicators remained in the list used for principal components analysis. Although some of them also have a significant degree of correlation, they were considered complementary for the PHEOs disclosure.

4.2. Composite Indicators Extraction

Initially, it is necessary to demonstrate the individual indicators list of social responsibility adequacy carried out using Kaiser–Meyer–Olkin measure of sampling adequacy, Cronbach’s alpha, and Bartlett’s test.
Kaiser–Meyer–Olkin measure of sampling adequacy indicate the individual suitability of the components. For all components, the results of the eigenvalues were higher than 0.8, confirming that they are adequate to compose the indicators list. The Kaiser–Meyer–Olkin measure of sampling adequacy, with all the components, shows this suitability by the eigenvalue, reaching 0.9457. The Cronbach’s alpha, which reached 0.9849, indicates the internal consistency of the indicators list. It is noteworthy that the values are significant mainly due to the number of the form respondents, i.e., 540. They provide consistency to the results. In addition to the Kaiser–Meyer–Olkin measure of sampling adequacy and Cronbach’s alpha statistics, by Bartlett’s test, the null hypothesis that the components are not interdependent is rejected and, therefore, the basic requirements for using principal component analysis are satisfied, as shown in Table 5.
Having fulfilled the requirements to continue the analyzes, 81 components were extracted which together explain the total variance of the original variables. The first 14 components with an eigenvalue higher than one, account for 72.69% of the variation. The varimax rotation solution meets the objective of the applied principal component analysis, reducing the number of components to 11, and improving results interpretation. Figure 1 presents with the scree plot of the eigenvalue after the varimax rotation.
The following are the individual components (81 indicators) that integrate each principal component, hereinafter called composite indicator. Statistics are also presented. They confirm the validity and the suitability of the results: Cronbach’s alpha and Kaiser–Meyer–Olkin measure of sampling adequacy.
The first composite indicator, presented in Table 6, consists of 14 indicators representing economic and financial information, or that result in the composition of the value of organizations. Thus, this composite indicator can be called economic and financial information.
Economic and financial responsibilities have been the subject of academic discussion since 1770 in the works of Adam Smith [71]. For social responsibility, economic sustainability must come first. Only after this responsibility is met should organizations address the other interests of their stakeholders [6,8,10,11]. It appears that the composite indicator was very close to what the literature has been presenting as an economic and financial category [15,93,131]. This demonstrates that the stakeholders’ perspectives are already recognized by the literature in this regard.
The second composite indicator, presented in Table 7, aggregates three indicators. They include information about the members of PHEOs boards and can, therefore, be called representations in the PHEO boards.
Some studies analyze the impacts of boards on organizational activities, identifying that their composition reflects on the social behavior of organizations [132,133,134]. This composite indicator demonstrates that stakeholders understand the importance of counselors in the PHEOs governance system, just as with corporations. In the reviewed studies, information about the boards is contained in the category of organization’s governance [3,59,134].
The third composite indicator, presented in Table 8, is composed of eight indicators. They express the need for information about the environment and the investments that are made for its preservation. Therefore, it can be called environmental information.
Organizations should disclose information about their environmental impacting activities relevant to the analysis of organizational sustainability [29,58,67,89,95,135,136], including universities [137]. The environmental category of the organization’s responsibility has been studied at least since the 1970s. In this sense, the PHEOs stakeholders demonstrate to be in line with what the literature has been presenting [29,66,68,86,97,131,135,136,138,139].
The fourth composite indicator, presented in Table 9, is composed of seven indicators. They express issues related to the social involvement of organizations. It can be called interaction and social investments.
The social responsibility of any type of organization must encompass social programs and policies, interacting with and targeting the general well-being of the community. In the reviewed studies, these indicators are analyzed within the social category [6,7,8,9,10,11,59,68,137,138]. However, by this research results, the stakeholders demonstrate to seek more specific and detailed information about the interaction with the community, the policies and the investments types made to demonstrate the organization’s social return [2,4,5,43,44]. In this sense, the composite indicator highlights this expectation from stakeholders [42,113,114].
The fifth composite indicator, presented in Table 10, aggregates nine indicators. They express the organization’s strategic and governance information. It can be called PHEOs governance information.
Governance information is part of the information that should be disclosed about social responsibility. This is because a qualified governance system indicates that organizations act with social responsibility [3,60,140]. PHEO stakeholders also feel this need, demonstrated by the formation of this composite indicator, in line with what the literature has already presented as a social responsibility category [3,42,113,114].
The sixth composite indicator, presented in Table 11, aggregates seven indicators. They represent information about the relationship of PHEOs with their collaborators. It can be called work policies.
Collaborators are also the primary stakeholders of PHEOs. Organizations have assumed responsibilities and commitments towards them that need to be met [3,48,54,58,59,96]. After all, the values received from the organization may affect not only employees but also their dependents. The sustainability of the organization represents the responsibility in the social environment in which it operates [10] (p. 5). The formation of this composite indicator demonstrates the specificity of interests with each stakeholder type separately, differently from what has been advocated by the reviewed literature [3,58,59,66,68,75,139,141,142].
The seventh composite indicator, presented in Table 12, contains eight information indicators involving the students of PHEOs. It can be called student care.
Students are also PHEOs priority stakeholders [3,48,54]. Therefore, disseminating specific information regarding the attention given to them is expected by the stakeholders, as observed by the formation of this composite indicator [17,42] and it becomes strategic for organizations and represents a socially responsible behavior [55].
The eighth composite indicator, presented in Table 13, is formed by six indicators. They express general information about primary stakeholders, and therefore, can be called stakeholders profile.
Stakeholder information has been considered important for designating social responsibility since the 1980s [72], but more strongly since 1990 [66,68,139]. The result of this composite indicator is consistent with the stakeholder’s category presented in the literature review made [3,58,59,66,68,75,139,141,142]. This shows that stakeholders, to legitimize organizations [2,3,4,5,96], in addition to specific information about each stakeholder type, also want general information.
The ninth composite indicator, presented in Table 14, comprises six indicators. They represent diverse information about the behavior of organizations, which can, therefore, be called: Organizational history and behavior.
Regarding the commitments made, there is a need for respect for human rights, the establishment of labor policies, and conduction of activities that build the history of the organization. These aspects would legitimize the organization with the stakeholders [3,5,58]. However, in the reviewed literature the organization’s history was not included in any social responsibility category. As for other information related to stakeholders, were included in the stakeholder’s category [3,58,59,66,68,75,139,141,142] but they were not addressed as organizational behavior, which is done with the creation of this composite indicator. Thus, once again the importance of composite indicators is demonstrated [3,42,113,114].
The tenth composite indicator, presented in Table 15, comprises seven indicators. They express concerns about the ethical and moral behavior of organizations. It can be called ethical behavior of the PHEOs.
Ethics represents the respect of organizations for the principles, values, uses, customs, and culture of the community in which it operates. That is, organizations should operate as expected from them [3,6,7,8,9,10,34,35,36,37,38,39]. With the creation and consistency of this composite indicator, it is possible to perceive the consonance of the expectations of the stakeholders with what the reviewed literature has been presenting.
The eleventh and last identified composite indicator, presented in Table 16, comprises six indicators. They express the importance of the support that PHEOs give to their stakeholders, the research, and the course evaluation policies. Thus, this component can be called stakeholder satisfaction and support policies.
There are several stakeholders who should have their interests met and to whom organizations should be accountable for regarding their activities [46,47,48,49,51,54]. Therefore, it is part of the organizational social responsibility to establish policies to meet these interests and measure the degree of stakeholder satisfaction [3,18]. The formation of this composite indicator shows that stakeholders want to identify the organization’s involvement with the community [5], observing what it does and what is the feedback from stakeholders contemplated by the distributed social benefits. Thus, in possession of this information, they would be prepared and or willing to legitimize the organization in the community where it operates.

4.3. Composite Indicators Summary

In summary, the results of this research allow us to infer 11 composite indicators representing social responsibility considered important by the surveyed stakeholders, as shown in Table 17. It is noteworthy that the composite indicators are presented by the internal consistency verified from Kaiser–Meyer–Olkin measure of sampling adequacy and accompanied by Cronbach’s alpha. Both measurements validate the composite indicators extracted by the principal component analysis.
Some composite indicators are similar to the social responsibility categories presented in the literature review. Economic and financial information is equivalent to the economic and financial category presented in the literature since a long time ago and confirmed by Carroll in 1979 [6]. Environmental information is equivalent to the environmental category [29,66,68,86,97,131,138]. Information on the organization’s governance is equivalent to the governance category [3,60,140]. The stakeholder profile is similar to the stakeholder category [3,58,59,66,68,75,139,141,142]. Finally, the ethical behavior of organizations is equivalent to the ethical category [6,8,10,11,59,68]. These results confirm that there is harmony between the expectations of stakeholders with the knowledge brought by the reviewed literature.
The composite indicator interaction and social investments could be considered an integral part of the social category [6,8,10,11,59,68] but it denotes the deeper expectation for specific information about how PHEOs are interacting with society and for which projects PHEOs are returning the expected social benefits, according to the social contract established between stakeholders and PHEOs [2,3,4,5].
The other composite indicators present specificities and details depth of the expectations of the PHEOs’ priority stakeholders, especially with regard to the relationship between them, that is, the fulfillment of the existing social contract between the stakeholders and the PHEOs [3,4,5]. PHEO board representations composite indicators; work policies; students care; organizational history and behavior; and stakeholders satisfaction and support policies, express this specific and profound interest. Considering that priority stakeholders are the main legitimizers [48,51,54] of PHEOs, it is strategic that they meet their expectations. Legitimacy is the condition that arises when organizations operate in accordance with the value system of the society in which they operate, but the values differ between stakeholders [143]. In this sense, the composite indicators created in this research are a reference for knowing the expectations of priority stakeholders. They contribute both to the formulation of PHEOs disclosure policies, in the search for legitimacy, and to the stakeholders in the PHEOs social responsibility assessment process.
It is noteworthy that the composite indicators were not created with weighting, as well as the individual indicators. However, in Appendix A, there is an average importance degree, attributed by the stakeholders, for each indicator, which can serve as a basis for assigning weight to the indicators if the PHEOs and or the stakeholders deem it relevant to use.

5. Final Considerations

The advance of communication technologies allowed stakeholders to access information through social media, among other communication channels, which until recently was concentrated on media that had information hegemony. These are times when the manifestation of wills and what is accepted or not by society is no longer controlled by the classical media. In this context, there are organizations that may or may not be valued by the community in which they are inserted according to the image built by the disclosure of information about their responsibility towards their stakeholders. Stakeholders are increasingly interested in non-financial social responsibility information. They evaluate this information and include it in their decision-making about whether to legitimize organizations.
The study objective was to list composite indicators comprising information that enabled the assessment of PHEOs’ social responsibility based on the interests of priority stakeholders. The field research with PHEO stakeholders in Brazil and the United Kingdom allows us to list eleven composite indicators representing social responsibility from a list of 81 indicators listed from the literature review and survey with priority stakeholders.
These composite indicators aggregate information regarding stakeholder profile, environmental information, social interaction and investments, PHEO governance information, economic and financial information, board representation, student care, work policies, organizational history and behavior, ethical behavior of PHEOs, and stakeholder satisfaction and support policies. Some of these composite indicators are close to the social responsibility categories reviewed in the literature. However, others show more specific and in-depth interests, especially regarding the stakeholders themselves. So, together, these 11 composite indicators guide managers in terms of disclosure policy and indicate the interests of stakeholders about the organization’s expected social responsibility. In other words, these composite indicators of social responsibility, when disclosed, enable PHEOs to legitimize themselves in terms of what priority stakeholders understand as social responsibility, contributing to organizational sustainability.
Thus, assuming that social responsibility is a fundamental concept for management, which must involve the entire organization and value chain for the organization to legitimize itself with its stakeholders, this research presents the composite indicators valued by them. Such composite indicators should not be ignored by managers upon establishing disclosure policies whenever they are focused on seeking legitimacy in the social context of PHEOs. In this way, the composite indicators contribute to both stakeholders and PHEOs, as their disclosure reduces information asymmetry and facilitates the PHEOs legitimization by stakeholders.
This research differs from the reviewed ones in that it presents the stakeholders’ perspective and the information regarding social responsibility they consider important, corroborating the other empirical studies on the subject. Given the differentiating aspect, but limited to some stakeholders, it is considered important to extend the research not only to samples of stakeholders from other countries but also to samples of stakeholders from organizations with other characteristics, like publicly traded universities.
Recognizing the importance of the theme studied and the respective limitations, we highlight here future research. It is worth noting that the development of analysis of these indicators, in communication channels of these associations, configure as a future study. Being no less important would be analyzing the legitimacy of these indicators with stakeholders of other organizations types.

Author Contributions

All authors contributed to the conception and design of the study. Material preparation, data collection and analysis were carried out by R.M.S., under the supervision and guidance of C.B.M. and R.D. The first draft of the manuscript was written by R.M.S. and all authors reviewed and contributed to the versions of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by CAPES—Higher Education Personnel Improvement Coordination and FAPERGS—Rio Grande do Sul State Research Support Foundation.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics sub-committees of the Graduate Program in Accounting Sciences at Unisinos in Brazil and at the Business School Department at Durham University in the United Kingdom.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Acknowledgments

We would also like to thank all the Philanthropic Higher Education Institutions in Brazil and the United Kingdom that allowed primary data collection to be carried out.

Conflicts of Interest

The authors declare that they are professors at three educational institutions whose stakeholders were also respondents to the research. However, it is noteworthy that none of them responded to the forms and did not participate directly in the data collection when it took place at the university where they work.

Appendix A

Table A1. Descriptive Statistics.
Table A1. Descriptive Statistics.
IndicatorsMeanMedianStd. Dev.SkewKurtJarque-BeraProb
Access to the consumer law4.0241.13−1.083.504.770.000
Accidents at work4.2450.98−1.404.651.020.000
Alumnus profile3.8531.03−0.723.172.020.000
Auditors’ reports3.9740.95−0.693.141.880.000
Board members profile3.8640.96−0.723.402.140.000
Board resolutions3.7851.06−0.673.001.730.000
Boards—Community representations3.9450.99−0.853.443.000.000
Boards—Employee representations4.0340.94−0.873.513.160.000
Boards—Student representations3.9940.95−0.763.112.250.000
Conduct code4.1840.95−1.194.216.880.000
Contact/Ombudsman4.1450.96−1.164.216.620.000
Cost/price of courses per student4.1240.89−0.943.794.000.000
Courses evaluation policy (government)4.2140.90−1.204.447.550.000
Courses evaluation policy (PHEO)4.2440.92−1.405.211.230.000
Courses segments3.9940.97−0.783.152.360.000
Degree of indebtedness3.9741.01−0.943.543.720.000
Donations received3.8941.00−0.823.482.790.000
Donors (major)3.6841.09−0.502.581.130.004
Employee hiring policies4.1540.92−1.134.216.360.000
Employee training and development policies4.2750.88−1.123.855.530.000
Employees assistance and benefits4.3040.91−1.414.851.100.000
Employees profile3.8540.94−0.703.492.130.000
Employees Remuneration3.8641.05−0.883.443.160.000
EmployeesTurnover3.9641.04−0.883.363.110.000
Environmental legislation relevant to PHEOs4.0440.94−0.803.322.540.000
Environmental management policy4.1640.91−0.943.403.590.000
Environmental projects4.1640.97−1.143.945.870.000
Environmental risks4.1330.92−1.023.914.850.000
Ethical commitments4.3440.86−1.455.411.370.000
Ethics committee4.1041.04−1.274.348.010.000
Expenses with local soppliers3.8040.99−0.693.241.910.000
Government Subsidies4.2140.95−1.153.765.660.000
Health and safety at work4.3440.88−1.445.101.230.000
Income for the year4.1750.90−1.023.844.730.000
Information on gender at work3.5551.10−0.482.679.930.007
Information on minorities at work3.4441.15−0.482.611.040.006
Information on outsourced services3.6651.02−0.402.617.610.022
Information on race at work3.1041.30−0.142.049.750.008
Interaction wuth the community4.1340.92−1.003.524.090.000
Intership policies4.1340.91−0.953.673.960.000
Investment in R & D4.4140.86−1.545.311.440.000
Investments in environment4.3740.87−1.374.479.360.000
Investments in infrastruture4.2640.86−1.335.131.120.000
Investments in philanthropy3.8540.97−0.632.941.560.000
Labor and social security legislation4.1340.91−0.913.583.560.000
Labor disputes, fines or liabilities3.8041.01−0.502.691.050.005
Library services4.1540.95−1.003.514.120.000
Liquidity3.9840.96−0.803.362.590.000
Market share4.0340.96−0.793.102.440.000
Mission, vision, principles and values4.2640.87−1.073.775.020.000
Net equity surplus4.1340.91−1.013.964.810.000
New courses projects4.1440.91−1.034.005.100.000
Noise and air pollution reduction information3.8141.07−0.662.781.740.000
Officers profile3.9140.98−0.833.562.980.000
Organization social history3.8140.97−0.472.768.980.011
Organizationa goals and objectives4.1340.91−1.003.894.610.000
Organizationa structure4.2740.87−1.335.041.090.000
Psychological support to students4.2240.94−1.254.407.970.000
Recruitment and selection policies4.0940.86−0.803.502.720.000
Remuneration of board members3.6341.09−0.492.681.030.006
Remuneration of officers3.6851.08−0.582.781.330.001
Research publishing4.1340.96−1.063.875.060.000
Resignation and relocation policies4.0040.95−0.763.122.240.000
Scholarship4.5140.88−2.167.874.110.000
Sellection process of board members3.8441.02−0.733.252.110.000
Sellection processo f officers3.9540.99−0.833.472.870.000
Social contributions report4.0540.98−0.953.623.880.000
Social investments4.2940.88−1.284.528.570.000
Social responsibility policies4.3140.85−1.244.337.630.000
Space for students to live together4.0940.90−0.833.332.780.000
Strategic partnership alliances3.9640.95−0.763.232.280.000
Strategic risks3.9740.98−0.933.733.850.000
Students employment4.3640.89−1.585.511.580.000
Students loyalty program4.0040.98−0.753.022.150.000
Students number growth4.0440.96−0.993.764.370.000
Students passing versus failing percentage3.9641.00−0.803.232.510.000
Students profile3.9040.97−0.693.171.860.000
Students satisfaction survey4.2340.91−1.234.447.820.000
Supliers selection policies3.9740.92−0.643.101.610.000
Support policies for social projects4.2040.86−1.104.396.530.000
Support for governament campaigns3.3151.16−0.442.411.090.004
Support for government projects3.5941.05−0.723.252.040.000
Surplus on revenue4.1040.93−0.983.784.340.000
Surplus reinvestment policy4.0740.89−0.843.573.050.000
Talent retention policies4.0840.94−0.953.663.890.000
University Extension projects4.1840.91−1.134.236.400.000
Waste treatment4.3450.95−1.545.061.320.000
Water and energy consumption reduction info4.2040.97−1.404.911.110.000
Overall average4.030 0.242

References

  1. Aluchna, M.; Idowo, S. The Dynamics of Corporate Social Responsibility: A Critical Approach to Theory and Practice; Springer International Publishing: Basel, Switzerland, 2017; p. 348. [Google Scholar] [CrossRef]
  2. Dowling, J.; Pfeffer, J. Organizational Legitimacy: Social Values and Organizational Behavior. Pac. Sociol. Rev. 1975, 18, 122–136. [Google Scholar] [CrossRef]
  3. Seibert, R.; Macagnan, C. Responsabilidade Social: A Transparência das Instituições de Ensino Superior Filantrópicas (Vol. 1); Novas Edições Acadêmicas: Beau Bassin, Mauritius, 2017; p. 276. ISBN 978-620-2-40064-0. [Google Scholar]
  4. Shocker, A.D.; Sethi, S.P. An Approach to Incorporating Societal Preferences in Developing Corporate Action Strategies. Calif. Manag. Rev. 1973, 15, 97–105. [Google Scholar] [CrossRef]
  5. Suchman, M.C. Managing Legitimacy: Strategic and Institutional Approaches. Acad. Manag. Rev. 1995, 20, 571–610. [Google Scholar] [CrossRef] [Green Version]
  6. Carroll, A.B. A three-dimensional conceptual model of corporate social performance. Acad. Manag. Rev. 1979, 4, 497–505. [Google Scholar] [CrossRef] [Green Version]
  7. Carroll, A. The pyramid of corporate social responsibility—Toward the moral management of organizational stakeholders. Bus. Horiz. 1991, 34, 39–48. [Google Scholar] [CrossRef]
  8. Carroll, A.B. Corporate Social Responsibility: Evolution of a Definitional Construct. Bus. Soc. 1999, 38, 268–295. [Google Scholar] [CrossRef]
  9. Carroll, A.B. Ethical Challenges for Business in the New Millennium: Corporate Social Responsibility and Models of Management Morality. Bus. Ethic Q. 2000, 10, 33–42. [Google Scholar] [CrossRef]
  10. Carroll, A.B. Carroll’s pyramid of CSR: Taking another look. Int. J. Corp. Soc. Responsib. 2016, 1, 02–08. [Google Scholar] [CrossRef] [Green Version]
  11. Dusuki, A.W.; Yusof, T.F. The pyramid of corporate social responsibility model: Empirical evidence from Malaysian stakeholder perspective. Malays. Account. Rev. 2008, 7, 29–54. [Google Scholar]
  12. Garriga, E.; Melé, D. Corporate Social Responsibility Theories: Mapping the Territory. J. Bus. Ethic 2004, 53, 51–71. [Google Scholar] [CrossRef]
  13. Kakabadse, N.K.; Rozuel, C.; Lee-Davies, L. Corporate social responsibility and stakeholder approach: A conceptual review. Int. J. Bus. Gov. Ethic 2005, 1, 277. [Google Scholar] [CrossRef]
  14. O’Dwyer, B. Conceptions of corporate social responsibility: The nature of managerial capture. Account. Audit. Account. J. 2003, 16, 523–557. [Google Scholar] [CrossRef] [Green Version]
  15. Tanggamani, V.; Amram, A.; Ramayah, T. The corporate social responsibility and corporate financial performance virtuous loop: A theoretical framework. Glob. Bus. Manag. Res. Int. J. 2018, 10, 331–343. [Google Scholar]
  16. Wood, D.J. Corporate social performance revisited. Acad. Manag. Rev. 1991, 16, 691–718. [Google Scholar] [CrossRef] [Green Version]
  17. Dočekalová, M.P.; Kocmanová, A. Composite indicator for measuring corporate sustainability. Ecol. Indic. 2016, 61, 612–623. [Google Scholar] [CrossRef]
  18. Seibert, R.; Macagnan, C.; Dixon, R.; Simon, D. Social responsibility indicators: Perspective of stakeholders in Brazil and in the United Kingdom. Int. J. Discl. Gov. 2019, 16, 128–144. [Google Scholar] [CrossRef]
  19. Waddock, S.; Smith, N. Corporate responsibility audits: Doing well by doing good. Sloan Manag. Rev. 2000, 41, 75–83. [Google Scholar]
  20. Sao Jose, A.; Figueiredo, M. Modelo de proposição de indicadores globais para organização das informações de responsabilidade social. In Proceedings of the Annals VII Congresso Nacional de Excelência em Gestão, Rio de Janeiro, Brazil, 12–13 August 2011; pp. 1–19. [Google Scholar]
  21. Core, J.E. A review of the empirical disclosure literature: Discussion. J. Account. Econ. 2001, 31, 441–456. [Google Scholar] [CrossRef] [Green Version]
  22. Healy, P.M.; Palepu, K.G. Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature. J. Account. Econ. 2001, 31, 405–440. [Google Scholar] [CrossRef]
  23. Danastas, L.; Gadenne, D. Social and Environmental NGOs as Users of Corporate Social Disclosure. J. Environ. Assess. Policy Manag. 2006, 8, 85–102. [Google Scholar] [CrossRef]
  24. BRASIL. Lei n° 11.096. Universidade Para Todos—PROUNI. DOU, Brazil. Available online: http://www.planalto.gov.br/ccivil_03/_ato2004-2006/2005/lei/l11096.htm#:~:text=LEI%20N%C2%BA%2011.096%2C%20DE%2013%20DE%20JANEIRO%20DE%202005.&text=Institui%20o%20Programa%20Universidade%20para,2004%2C%20e%20d%C3%A1%20outras%20provid%C3%AAncias (accessed on 13 January 2019).
  25. BRASIL. Lei 12.101—Dispõe Sobre a Certificação das Entidades Beneficentes de Assistência Social. DOU, Brazil. Available online: http://www.planalto.gov.br/ccivil_03/_ato2007-2010/2009/lei/l12101.htm (accessed on 27 November 2019).
  26. BRASIL. Lei n° 12.881. Dispõe Sobre a Definição, Qualificação, Prerrogativas e Finalidades das Instituições Comunitárias de Educação Superior—ICES. DOU, Brazil. Available online: http://www.planalto.gov.br/ccivil_03/_ato2011-2014/2013/lei/l12881.htm (accessed on 12 November 2013).
  27. UNITED KINGDOM. Higher Education and Research Act 2017; TSO (The Stationery Office): London, UK. Available online: http://www.legislation.gov.uk/ukpga/2017/29/enacted (accessed on 27 April 2019).
  28. Adelopo, I.; Moure, R.C.; Preciado, L.V.; Obalola, M. Determinants of web-accessibility of corporate social responsibility communications. J. Glob. Responsib. 2012, 3, 235–247. [Google Scholar] [CrossRef]
  29. O’Donovan, G. Environmental disclosures in the annual report: Extending the applicability and predictive power of legitimacy theory. Account. Audit. Account. J. 2002, 15, 344–371. [Google Scholar] [CrossRef]
  30. Hansmann, H.B. The Role of Nonprofit Enterprise. Yale Law J. 1980, 89, 835. [Google Scholar] [CrossRef]
  31. Hansmann, H. Why Do Universities Have Endowments? J. Leg. Stud. 1990, 19, 3–42. [Google Scholar] [CrossRef] [Green Version]
  32. Latif, K.F. The Development and Validation of Stakeholder-Based Scale for Measuring University Social Responsibility (USR). Soc. Indic. Res. 2018, 140, 511–547. [Google Scholar] [CrossRef]
  33. Adams, C.A. Internal organisational factors influencing corporate social and ethical reporting beyond current theorising. Account. Audit. Account. J. 2002, 15, 223–250. [Google Scholar] [CrossRef]
  34. Baldini, M.; Maso, L.D.; Liberatore, G.; Mazzi, F.; Terzani, S. Role of Country- and Firm-Level Determinants in Environmental, Social, and Governance Disclosure. J. Bus. Ethic 2018, 150, 79–98. [Google Scholar] [CrossRef]
  35. Golob, U.; Bartlett, J.L. Communicating about corporate social responsibility: A comparative study of CSR reporting in Australia and Slovenia. Public Relat. Rev. 2007, 33, 1–9. [Google Scholar] [CrossRef]
  36. Haniffa, R.; Cooke, T. The impact of culture and governance on corporate social reporting. J. Account. Public Policy 2005, 24, 391–430. [Google Scholar] [CrossRef]
  37. Monterrey, J.; Sánchez-Segura, A. Las Características Socioeconómicas Como Incentivos Para La Información Financiera: Evidencia Empírica Española. Investig. Económicas 2006, 30, 611–634. [Google Scholar]
  38. Sendut, H.; Datuk, T.S. Managing in a multicultural society the Malaysian experience. Malays. Manag. Rev. 1991, 26, 61–69. [Google Scholar]
  39. Specter, C.N.; Solomon, J.S. The Human Resource Factor in Chinese Management Reform. Int. Stud. Manag. Organ. 1990, 20, 69–83. [Google Scholar] [CrossRef]
  40. Rametsteiner, E.; Pülzl, H.; Alkan-Olsson, J.; Frederiksen, P. Sustainability indicator development—Science or political negotiation? Ecol. Indic. 2011, 11, 61–70. [Google Scholar] [CrossRef]
  41. Eccles, R.; Ioannou, I.; Serafeim, G. The impact pf a corporate culture of sustainability on corporate behavior and performance. Manag. Sci. 2014, 60, 2835–2857. [Google Scholar] [CrossRef] [Green Version]
  42. Dočekalová, M.P.; Kocmanová, A.; Simberova, I.; Koleňák, J. Modelling of Social Key Performance Indicators of Corporate Sustainability Performance. Acta Univ. Agric. Silvic. Mendel. Brun. 2018, 66, 303–312. [Google Scholar] [CrossRef] [Green Version]
  43. Spirig, K. Social performance and competitiveness: A socio-competitive framework. In Managing the Business Case for Sustainability; Schaltegger, S., Wagner, M., Eds.; Routledge: New York, NY, USA, 2017; pp. 82–106. [Google Scholar]
  44. Wood, D.J. Measuring Corporate Social Performance: A Review. Int. J. Manag. Rev. 2010, 12, 50–84. [Google Scholar] [CrossRef]
  45. Wood, D.J.; Jones, R.E. Stakeholder Mismatching: A Theoretical Problem in Empirical Research on Corporate Social Performance. Int. J. Organ. Anal. 1995, 3, 229–267. [Google Scholar] [CrossRef]
  46. Freeman, R.E. Strategic Management: A Stakeholder Approach; Cambridge University Press: Cambridge, UK, 1984; p. 267. [Google Scholar]
  47. Freeman, R.E.; Wicks, A.C.; Parmar, B. Stakeholder Theory and “The Corporate Objective Revisited”. Organ. Sci. 2004, 15, 364–369. [Google Scholar] [CrossRef] [Green Version]
  48. Parmar, B.L.; Freeman, R.E.; Harrison, J.S.; Wicks, A.C.; Purnell, L.; De Colle, S. Stakeholder Theory: The State of the Art. Acad. Manag. Ann. 2010, 4, 403–445. [Google Scholar] [CrossRef]
  49. Phillips, R. Stakeholder Legitimacy. Bus. Ethic Q. 2003, 13, 25–41. [Google Scholar] [CrossRef]
  50. Clement, R.W. The lessons from stakeholder theory for U.S. business leaders. Bus. Horiz. 2005, 48, 255–264. [Google Scholar] [CrossRef]
  51. Freeman, R.; Harrison, J.; Wicks, A.; Parmar, B.; Colle, S. Stakeholder Theory: The State of the Art; Cambridge University Press: Cambridge, UK, 2010; p. 363. [Google Scholar]
  52. Greenwood, M.; Freeman, E. Ethics and HRM: The contribution of Stakeholder Theory. Bus. Prof. Ethics J. 2011, 30, 269–292. [Google Scholar] [CrossRef] [Green Version]
  53. Harrison, J.A.; Rouse, P.; De Villiers, C.J. Accountability and Performance Measurement: A Stakeholder Perspective. Bus. Econ. Res. J. 2012, 5, 243–258. [Google Scholar] [CrossRef] [Green Version]
  54. Mitchell, R.; Agle, B.; Wood, D. Toward a theory of stakeholder identification and salience: Defining the principle of who and what really counts. Acad. Manag. Rev. 1997, 22, 853–886. [Google Scholar] [CrossRef]
  55. Verrecchia, R.E. Essays on Disclosure. J. Account. Econ. 2001, 32, 97–180. [Google Scholar] [CrossRef]
  56. Kennerley, M.; Neely, A. Measuring performance in a changing business environment. Int. J. Oper. Prod. Manag. 2003, 23, 213–229. [Google Scholar] [CrossRef] [Green Version]
  57. GRI, G.R. Sustainability Disclosure Database; Global Reporting Iniciative (GRI): Amsterdam, The Netherlands, 2013; p. 96. Available online: https://www.globalreporting.org/standards (accessed on 25 July 2019).
  58. GRI. GRI Standards—GRI 102: General Disclosures; Global Reporting Iniciative (GRI): Amsterdam, The Netherlands, 2016; p. 49. Available online: https://www.globalreporting.org/standards/ (accessed on 18 June 2020).
  59. ETHOS. Indicadores ETHOS Para Negócios Sustentáveis E Responsáveis; Gonçalves, B., Ed.; Instituto ETHOS de Empresas e Responsabilidade Social: São Paulo, Brazil, 2019; p. 107. Available online: https://www.ethos.org.br/conteudo/indicadores/ (accessed on 18 November 2020).
  60. AUSJAL—Associación de Universidades Confiadas a la Compañia de Jesús en América Latina. Políticas Y Sistema de Autoevaluación Y Gestión de la Responsabilidad Social Universitaria en AUSJAL. Córdoba: Alejandría Editorial. 2014. Available online: https://www.ausjal.org/wp-content/uploads/Pol%C3%ADticas-y-Sistemas-de-Autoevaluaci%C3%B3n-y-Gesti%C3%B3n-de-la-RSU-en-AUSJAL.pdf (accessed on 24 June 2019).
  61. Accountability. AA1000 Accountability Principles Standard; Accountability: London, UK, 2008; p. 21. Available online: www.accountability.org/standards/aa1000aps.html (accessed on 23 September 2018).
  62. Services, I.-I. Form 990. (n.d.). Available online: http://www.irs.gov/pub/irs-pdf/f990.pdf (accessed on 5 November 2018).
  63. SEC, S. Form 20-F. (n.d.). Available online: https://www.sec.gov/about/forms/ (accessed on 2 November 2018).
  64. CFC—Conselho Federal de Contabilidade. Resolução CFC n° 1.003/04. Norma Brasileira de Contabilidade Técnica 15—NBC T 15. Conselho Federal de Contabilidade: Brasília, Brasil. 2004. Available online: http://www.portaldecontabilidade.com.br/nbc/t15.htm (accessed on 5 November 2018).
  65. UNITED NATIONS. Guidance on Corporate Responsibility Indicators in Annual Reports; United Nations: New York, NY, USA; Geneva, Switzerland, 2008; Available online: https://unctad.org/system/files/official-document/iteteb20076_en.pdf (accessed on 5 November 2018).
  66. Gray, R.; Kouhy, R.; Lavers, S. Corporate social and environmental reporting: A review of the literature and a longitudinal study of UK disclosure. Account. Audit. Account. J. 1995, 8, 47–77. [Google Scholar] [CrossRef]
  67. Bowman, E.H.; Haire, M. Social impact disclosure and corporate annual reports. Account. Organ. Soc. 1976, 1, 11–21. [Google Scholar] [CrossRef]
  68. Dahlsrud, A. How corporate social responsibility is defined: An analysis of 37 definitions. Corp. Soc. Responsib. Environ. Manag. 2008, 15, 1–13. [Google Scholar] [CrossRef]
  69. Gonzalez-Perez, M. Corporate social responsibility and international business: A conceptual overview. Adv. Sustain. Environ. Justice 2013, 11, 1–35. [Google Scholar] [CrossRef]
  70. Guthrie, J.; Parker, L.D. Corporate social reporting: A rebutal of legitimacy theory. Account. Bus. Res. 1989, 19, 343–352. [Google Scholar] [CrossRef]
  71. Hay, R.; Gray, E. Social Responsibilities of Business Managers. Acad. Manag. J. 1974, 17, 135–143. [Google Scholar]
  72. Jones, T.M. Corporate Social Responsibility Revisited, Redefined. Calif. Manag. Rev. 1980, 22, 59–67. [Google Scholar] [CrossRef]
  73. Marrewijk, M. Concepts and definitions of CSR and corporate sustainability: Between agency and communion. J. Bus. Ethics 2003, 44, 95–105. [Google Scholar] [CrossRef]
  74. Ackers, B.; Eccles, N.S. Mandatory corporate social responsibility assurance practices: The case of King III in South Africa. Account. Audit. Account. J. 2015, 28, 515–550. [Google Scholar] [CrossRef]
  75. Alkababji, M. Voluntary Disclosure on Corporate Social Responsibility: A study on the Annual Reports of Palestinian Corporations. Eur. J. Account. Audit. Financ. Res. 2014, 2, 59–82. [Google Scholar]
  76. Attig, N.; Cleary, W.S. Managerial Practices and Corporate Social Responsibility. J. Bus. Ethic 2014, 131, 121–136. [Google Scholar] [CrossRef]
  77. Conway, S.L.; O’Keefe, P.A.; Hrasky, S.L. Legitimacy, accountability and impression management in NGOs: The Indian Ocean tsunami. Account. Audit. Account. J. 2015, 28, 1075–1098. [Google Scholar] [CrossRef]
  78. Cooper, S.; Slack, R.E. Reporting practice, impression management and company performance: A longitudinal and comparative analysis of water leakage disclosure. Account. Bus. Res. 2015, 45, 801–840. [Google Scholar] [CrossRef] [Green Version]
  79. Gnanaweera, K.; Kunori, N.; Ntim, C.G. Corporate sustainability reporting: Linkage of corporate disclosure information and performance indicators. Cogent Bus. Manag. 2018, 5, 1–21. [Google Scholar] [CrossRef]
  80. Good, K.J.; Borba, J.A.; Maragno, L.M.D. Supporting Stakeholder Relationship Management via Disclosure on Resource Origins: Evidence from the World’s Top NGOs. Soc. Contab. E Gestão 2015, 10, 139–156. [Google Scholar] [CrossRef] [Green Version]
  81. Grougiou, V.; Leventis, S.; Dedoulis, E.; Owusu-Ansah, S. Corporate social responsibility and earnings management in U.S. banks. Account. Forum 2014, 38, 155–169. [Google Scholar] [CrossRef] [Green Version]
  82. Jizi, M.I.; Dixon, R. Are Risk Management Disclosures Informative or Tautological? Evidence from the U.S. Banking Sector. Account. Perspect. 2017, 16, 7–30. [Google Scholar] [CrossRef] [Green Version]
  83. Jizi, M.I.; Salama, A.; Dixon, R.; Stratling, R. Corporate Governance and Corporate Social Responsibility Disclosure: Evidence from the US Banking Sector. J. Bus. Ethic 2014, 125, 601–615. [Google Scholar] [CrossRef] [Green Version]
  84. Kansal, M.; Joshi, M.; Batra, G.S. Determinants of corporate social responsibility disclosures: Evidence from India. Adv. Account. Inc. Adv. Int. Account. 2014, 30, 217–229. [Google Scholar] [CrossRef]
  85. Khlif, H.; Guidara, A.; Souissi, M. Corporate social and environmental disclosure and corporate performance: Evidence from South Africa and Morocco. J. Account. Emerg. Econ. 2015, 5, 51–69. [Google Scholar] [CrossRef]
  86. Pesci, C.; Costa, E.; Soobaroyen, T. The forms of repetition in social and environmental reports: Insights from Hume’s notion of ‘impressions’. Account. Bus. Res. 2015, 45, 765–800. [Google Scholar] [CrossRef] [Green Version]
  87. Pivac, S.; Vuko, T.; Cular, M. Analysis of annual report disclosure quality for listed companies in transition countries. Econ. Res. Ekon. Istraživanja 2017, 30, 721–731. [Google Scholar] [CrossRef] [Green Version]
  88. Salehi, M.; Tarighi, H.; Rezanezhad, M. The relationship between board of directors’ structure and company ownership with corporate social responsibility disclosure: Iranian angle. Humanomics 2017, 33, 398–418. [Google Scholar] [CrossRef]
  89. Silva, R.; Seibert, R.; Juliani, L.; Wbatuba, B. Análise da evidenciação ambiental nas corporações brasileiras de alto impacto ambiental listadas na BM&FBOVESPA. Rev. Gestão Secr. 2018, 9, 46–71. [Google Scholar]
  90. Bezhani, I. Intellectual capital reporting at UK universities. J. Intellect. Cap. 2010, 11, 179–207. [Google Scholar] [CrossRef]
  91. Sassen, R.; Azizi, L. Voluntary disclosure of sustainability reports by Canadian universities. J. Bus. Econ. 2017, 88, 97–137. [Google Scholar] [CrossRef]
  92. Ahmed, S. Determinants of the quality of disclosed earnings and value relevance across transitional Europe. J. Account. Emerg. Econ. 2015, 5, 325–349. [Google Scholar] [CrossRef]
  93. Aldaz, M.; Alvarez, I.; Calvo, J. Informes no financieros, desempeño anticorrupción y reputación corporativa. Rev. Bras. Gestão Negócios 2015, 17, 1321–1340. [Google Scholar] [CrossRef] [Green Version]
  94. Fu, H.; Ye, B.H.; Law, R. You do well and I do well? The behavioral consequences of corporate social responsibility. Int. J. Hosp. Manag. 2014, 40, 62–70. [Google Scholar] [CrossRef]
  95. Marquezan, L.; Seibert, R.; Bartz, D.; Barbosa, M.; Alves, T. Análise dos Determinantes do Disclosure Verde em Relatórios Anuais de Empresas Listadas na BM&FBOVESPA. Contab. Gestão Gov. 2015, 18, 127–150. [Google Scholar]
  96. Kuralová, K.; Margarisová, K. Intellectual Capital Disclosure at Czech Public Universities in Relation to the Stakeholder Information Need. Acta Univ. Agric. Silvic. Mendel. Brun. 2016, 64, 1989–1998. [Google Scholar] [CrossRef] [Green Version]
  97. Burgwal, D.V.; Vieira, R.J. Determinantes da Divulgação Ambiental em Companhias Abertas Holandesas. Rev. Contab. Finanças 2014, 25, 60–78. [Google Scholar] [CrossRef] [Green Version]
  98. Liesen, A.; Hoepner, A.G.; Patten, D.M.; Figge, F. Does stakeholder pressure influence corporate GHG emissions reporting? Empirical evidence from Europe. Account. Audit. Account. J. 2015, 28, 1047–1074. [Google Scholar] [CrossRef]
  99. Welbeck, E.E.; Owusu, G.M.Y.; Bekoe, R.A.; Kusi, J.A. Determinants of environmental disclosures of listed firms in Ghana. Int. J. Corp. Soc. Responsib. 2017, 2, 1–12. [Google Scholar] [CrossRef]
  100. Ismail, T.H. Does Egyptian universities’ disclosure on social responsibility enhance sustainable development? J. Humanit. Appl. Soc. Sci. 2019, 2, 81–99. [Google Scholar] [CrossRef] [Green Version]
  101. Sepasi, S.; Braendle, U.; Rahdari, A. Comprehensive sustainability reporting in higher education institutions. Soc. Responsib. J. 2019, 15, 155–170. [Google Scholar] [CrossRef]
  102. Bachmann, R.K.; Carneiro, L.M.; Espejo, M.M. Evidenciação de informações ambientais: Proposta de um indicador a partir da percepção de especialistas. Rev. Contab. Organ. 2013, 17, 36–47. [Google Scholar] [CrossRef]
  103. Kocmanová, A.; Simberová, I. Modelling of corporate governance performance indicators. Inz. Ekon. Eng. Econ. 2012, 23, 485–495. [Google Scholar] [CrossRef]
  104. Seibert, R.M.; Macagnan, C.B. Evidenciação das Instituições Comunitárias de Ensino Superior: Um estudo sob a perspectiva dos públicos de interesse. Contextus Rev. Contemp. Econ. Gestão 2015, 13, 176–209. [Google Scholar]
  105. Giannetti, E.; Almeida, C. Ecologia Industrial—Conceitos, Ferramentas e Aplicações; Editora Edgard Blucher: São Paulo, Brazil, 2006; p. 128. [Google Scholar]
  106. Heink, U.; Kowarik, I. What are indicators? On the definition of indicators in ecology and environmental planning. Ecol. Indic. 2010, 10, 584–593. [Google Scholar] [CrossRef]
  107. Kruse, C.; Lundbergh, S. The governance of corporate sustainability. Rotman Int. J. Pension Manag. 2010, 3, 46–51. [Google Scholar]
  108. Liu, N.; Liu, C.; Fu, Q.; Li, M.; Faiz, M.A.; Khan, M.I.; Li, T.; Cui, S. Construction and application of a refined index for measuring the regional matching characteristics between water and land resources. Ecol. Indic. 2018, 91, 203–211. [Google Scholar] [CrossRef]
  109. Minayo, M.C.D.S. Construção de indicadores qualitativos para avaliação de mudanças. Rev. Bras. Educ. Médica 2009, 33, 83–91. [Google Scholar] [CrossRef]
  110. Neely, A.; Gregory, M.; Platts, K. Performance measurement system design: A literature review and research agenda. Int. J. Oper. Prod. Manag. 2005, 25, 1228–1263. [Google Scholar] [CrossRef]
  111. Roos, G.; Roos, J. Measuring your company’s intellectual performance. Long Range Plan. 1997, 30, 413–426. [Google Scholar] [CrossRef]
  112. Denčić-Mihajlov, K.; Petrović, E.; Stanković, J.; Pavlović, M. Evaluation of volume and quality of social performance indicators disclosure of companies included in Belexline index. In Proceedings of the Annals 25th International Scientific Conference, Subotica, Republic of Serbia, 19 May 2020; pp. 42–48. [Google Scholar]
  113. Kuc-Czarnecka, M.; Piano, S.L.; Saltelli, A. Quantitative Storytelling in the Making of a Composite Indicator. Soc. Indic. Res. 2020, 149, 775–802. [Google Scholar] [CrossRef] [Green Version]
  114. Becker, W.; Paruolo, P.; Saisana, M.; Salkelli, A. Weights and importance in composite indicators: Mind the gap. In Handbook of Uncertainty Quantification; Ghanem, R., Higdon, D., Owhadi, H., Eds.; Springer International Publishing: Basel, Switzerland, 2017; pp. 1187–1216. [Google Scholar] [CrossRef]
  115. Salehi, M.; Tarighi, H.; Rezanezhad, M. Empirical study on the effective factors of social responsibility disclosure of Iranian companies. J. Asian Bus. Econ. Stud. 2019, 26, 34–55. [Google Scholar] [CrossRef]
  116. MEC. Cadastro Nacional de Cursos e Instituições de Educação Superior. Cadastro e-MEC. Ministério da Educação e Cultura. 2020. Available online: http://emec.mec.gov.br/emec/nova (accessed on 24 July 2020).
  117. UK Universities. The Voice of Universities. Universities UK. 2020. Available online: https://www.universitiesuk.ac.uk/ (accessed on 24 July 2020).
  118. Sweeney, D.; Williams, T.; Anderson, D. Estatística Aplicada à Administração e Economia, 3rd ed.; Cengage Learning: São Paulo, Brazil, 2015; p. 720. [Google Scholar]
  119. Yamamoto, R.K. Estudo Dirigido de Estatística Descritiva; Erica: São Paulo, Brazil, 2009; p. 280. [Google Scholar]
  120. Lattin, J.; Carroll, J.; Green, P. Análise de Dados Multivariados; Cengage Learning: São Paulo, Brazil, 2011; p. 475. [Google Scholar]
  121. Cortina, J.M. What is coefficient Alpha? An examination of theory and applications. J. Appl. Psychol. 1993, 78, 98–104. [Google Scholar] [CrossRef]
  122. Figueiredo, D.; Júnior, J.A.D.S. Visão além do alcance: Uma introdução à análise fatorial. Opinião Pública 2010, 16, 160–185. [Google Scholar] [CrossRef]
  123. Kaiser, H.F. A Measure of the Average Intercorrelation. Educ. Psychol. Meas. 1968, 28, 245–247. [Google Scholar] [CrossRef]
  124. Hair, J.; Black, W.; Babin, B.; Anderson, R.; Tatham, R. Multivariate Data Analysis: A Global Perspective, 6th ed.; Pearson Prentice Hall: Upper Saddle River, NJ, USA, 2006; p. 785. [Google Scholar]
  125. Box, G.E.P. Non-Normality and Tests on Variances. Biometrika 1953, 40, 318. [Google Scholar] [CrossRef]
  126. Cronbach, L.J. Coefficient alpha and the internal structure of tests. Psychometrika 1951, 16, 297–334. [Google Scholar] [CrossRef] [Green Version]
  127. Shevlin, M.; Miles, J.; Davies, M.; Walker, S. Coefficient alpha: A useful indicator of reliability? Pers. Individ. Differ. 2000, 28, 229–237. [Google Scholar] [CrossRef]
  128. Williams, B.; Onsman, A.; Brown, T. Exploratory factor analysis: A five-step guide for novices. J. Emerg. Prim. Health Care 2010, 8, 1–13. [Google Scholar] [CrossRef] [Green Version]
  129. Abdi, H. Factor rotations in factor analyses. In Encyclopedia of Social Sciences Research Methods; Lewis-Beck, M., Bryman, A., Futing, T., Eds.; SAGE: Thousand Oaks, CA, USA, 2003; pp. 1–8. Available online: https://www.utdallas.edu/~herve/Abdi-rotations-pretty.pdf (accessed on 19 October 2020).
  130. Assaf Neto, A.; Lima, F. Curso de Administração Financeira, 3rd ed.; Atlas: São Paulo, Brazil, 2014; p. 1563. [Google Scholar]
  131. Hamidu, A.A.; Haron, H.M.; Amran, A. Corporate Social Responsibility: A Review on Definitions, Core Characteristics and Theoretical Perspectives. Mediterr. J. Soc. Sci. 2015, 6, 83. [Google Scholar] [CrossRef] [Green Version]
  132. Al-Nimer, M. Effect of Corporate Rules on Voluntary Disclosure in Jordanian Corporations Listed with the Amman Stock Exchange (ASE): (An Empirical Study). Stud. Bus. Econ. 2019, 14, 154–168. [Google Scholar] [CrossRef] [Green Version]
  133. Desender, K.A.; Aguilera, R.V.; Crespi, R.; García-Cestona, M. When does ownership matter? Board characteristics and behavior. Strat. Manag. J. 2013, 34, 823–842. [Google Scholar] [CrossRef]
  134. López-Quesada, E.; Camacho-Miñano, M.-D.-M.; Idowu, S.O. Corporate governance practices and comprehensive income. Corp. Gov. Int. J. Bus. Soc. 2018, 18, 462–477. [Google Scholar] [CrossRef] [Green Version]
  135. Aerts, W.; Cormier, D. Media legitimacy and corporate environmental communication. Account. Organ. Soc. 2009, 34, 1–27. [Google Scholar] [CrossRef]
  136. Deegan, C.; Rankin, M.; Tobin, J. An examination of the corporate social and environmental disclosures of BHP from 1983–1997. Account. Audit. Account. J. 2002, 15, 312–343. [Google Scholar] [CrossRef]
  137. Siboni, B.; Del Sordo, C.; Pazzi, S. Sustainability Reporting in State Universities: An Investigation of Italian Pioneering Practices. Int. J. Soc. Ecol. Sustain. Dev. 2013, 4, 1–15. [Google Scholar] [CrossRef]
  138. Dierkes, M.; Preston, L.E. Corporate social accounting reporting for the physical environment: A critical review and implementation proposal. Account. Organ. Soc. 1977, 2, 3–22. [Google Scholar] [CrossRef]
  139. Hackston, D.; Milne, M.J. Some determinants of social and environmental disclosures in New Zealand companies. Account. Audit. Account. J. 1996, 9, 77–108. [Google Scholar] [CrossRef]
  140. Silva, V.D.; Macagnan, C.B. Categorias de informações evidenciadas nos Relatórios Anuais. REDES Rev. Desenvolv. Reg. 2012, 17, 154–174. [Google Scholar]
  141. Lohn, V.M. Indicadores de responsabilidade social: Uma proposta para as Instituições de Ensino Superior. Rev. Gestão Univ. Am. Lat. GUAL 2011, 4, 110–128. [Google Scholar] [CrossRef]
  142. Rizk, R.; Dixon, R.; Woodhead, A. Corporate social and environmental reporting: A survey of disclosure practices in Egypt. Soc. Responsib. J. 2008, 4, 306–323. [Google Scholar] [CrossRef]
  143. Rimmel, G.; Jonall, K. Theories of accounting for sustainability. In Accounting for Sustainability; Rimmel, G., Ed.; Routledge: New York, NY, USA, 2020; p. 230. [Google Scholar]
Figure 1. Scree plot of the eigenvalue after the rotation.
Figure 1. Scree plot of the eigenvalue after the rotation.
Sustainability 13 01034 g001
Table 1. Distribution of respondents by stakeholder and country.
Table 1. Distribution of respondents by stakeholder and country.
Country/StakeholdersStudentsCollaboratorsSuppliersCommunityTotal
Brasil1558816164423
UK7245 117
Total22713316164540
Table 2. Evaluation of indicators.
Table 2. Evaluation of indicators.
IndicatorsTotal
Mean4.030
Standard Deviation0.242
Minimum3.000
Maximum5.000
Table 3. Most and least important indicators.
Table 3. Most and least important indicators.
IndicatorsScale Average
Most important
Scholarship4.51
Investment in Research and Development4.41
Investments in Environment4.37
Student Employment4.36
Least important
Information on Gender at Work3.55
Information on Minorities at Work3.44
Support for Government Campaigns3.31
Information about Race at Work3.10
Table 4. Correlation analysis.
Table 4. Correlation analysis.
IndicatorCoef.IndicatorCoef.
Board composition (student)
Board composition (employee)
0.858Board composition (employee)
Board composition (community)
0.814
Information on minorities at work
Information on gender at work
0.806Employee profile
Board members profile
0.820
Employee profile
Officers profile
0.838Selection process of officers
Selection process of board members
0.894
Remuneration of officers
Remuneration of board members
0.913Net equity surplus
Surplus on revenue
0.911
Table 5. Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test.
Table 5. Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test.
Kaiser–Meyer–Olkin Measure of Sampling Adequacy 0.9457
Chi-square statistics17.308
Bartlett’s testDegrees of Freedom (DF)3.240
Significance0.000
Cronbach’s alpha 0.9849
Table 6. Economic and financial information.
Table 6. Economic and financial information.
Composite IndicatorIndividual Indicator
Economic and Financial InformationAuditors’ report
Board resolutions
Degree of indebtedness
Donations received
Employee remuneration
Employees turnover
Government subsidies
Income for the year
Labor disputes, fines or liabilities
Liquidity
Market share
Net equity surplus
Strategic risks
Surplus reinvestment policy
Table 7. Board representations.
Table 7. Board representations.
Composite IndicatorIndividual Indicator
PHEO board representationsBoards—Community representations
Boards—Student representations
Boards—Employee representations
Table 8. Environmental information.
Table 8. Environmental information.
Composite IndicatorIndividual Indicator
Environmental informationEnvironmental legislation relevant to PHEOs
Environmental management policies
Environmental projects
Environmental risks
Investments in environment
Noise and air pollution reduction information
Waste treatment
Water and energy consumption reduction information
Table 9. Interaction and social investments.
Table 9. Interaction and social investments.
Composite IndicatorIndividual Indicator
Interaction and social investmentsInteraction with the community
Investments in philanthropy
Social contribution report
Social investments
Social responsibility policies
Support policies for social projects
University extension projects
Table 10. Governance information.
Table 10. Governance information.
Composite IndicatorIndividual Indicator
PHEOs governance informationContact/Ombudsman
Courses segments
Investment in infrastructure
Investment in R & D
Library services
New courses projects
Organizational goals and objectives
Organizational Mission, vision, principles and values
Research publishing
Table 11. Work policies.
Table 11. Work policies.
Composite IndicatorIndividual Indicator
Work policiesEmployee hiring policies
Employee training and development policies
Internship policies
Labor and social security legislation
Recruitment and selection policies
Resignation and relocation policies
Talent retention policies
Table 12. Students care.
Table 12. Students care.
Composite IndicatorIndividual Indicator
Students careCost/Price of courses per student
Organizational structure
Scholarships
Space for students to live together
Strategic partnerships and alliances
Student employment
Students loyalty program
Students number growth
Table 13. Stakeholders profile.
Table 13. Stakeholders profile.
Composite IndicatorIndividual Indicator
Stakeholders profileAlumnus profile
Employees profile
Expenses with local suppliers
Students passing versus failing percentage
Students profile
Suppliers selection policies
Table 14. Organizational history and behavior.
Table 14. Organizational history and behavior.
Composite IndicatorIndividual Indicator
Organizational history and behaviorDonors (major)
Information on gender at work
Information on minorities at work
Information on outsourced services
Information on race at work
Organization social history
Table 15. Ethical behavior of the philanthropic higher education organizations (PHEOs).
Table 15. Ethical behavior of the philanthropic higher education organizations (PHEOs).
Composite IndicatorIndividual Indicator
Ethical behavior of the PHEOsAccess to the consumer law
Accidents at work
Conduct code
Employee assistance and benefits
Ethical commitments
Ethics committee
Health and safety at work
Table 16. Stakeholders satisfaction and support policies.
Table 16. Stakeholders satisfaction and support policies.
Composite IndicatorIndividual Indicator
Stakeholders satisfaction and support policiesCourse evaluation policy (government)
Course evaluation policy (PHEO)
Psychological support to students
Student satisfaction survey
Support to government campaigns
Support to government projects
Table 17. Composite indicators summary.
Table 17. Composite indicators summary.
Composite IndicatorAlphaMSA
Economic and financial information0.9350.940
PHEO Board representations0.9320.759
Environmental information0.9200.907
Interaction and social investments0.9150.901
PHEOs governance information0.9070.887
Work policies0.9040.901
Students care0.8940.897
Stakeholders profile0.8830.834
Organizational history and behavior0.8730.863
Ethical behavior of the PHEOs0.8470.853
Stakeholders satisfaction and support policies0.8120.728
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Seibert, R.M.; Macagnan, C.B.; Dixon, R. Priority Stakeholders’ Perception: Social Responsibility Indicators. Sustainability 2021, 13, 1034. https://doi.org/10.3390/su13031034

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Seibert RM, Macagnan CB, Dixon R. Priority Stakeholders’ Perception: Social Responsibility Indicators. Sustainability. 2021; 13(3):1034. https://doi.org/10.3390/su13031034

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Seibert, Rosane Maria, Clea Beatriz Macagnan, and Robert Dixon. 2021. "Priority Stakeholders’ Perception: Social Responsibility Indicators" Sustainability 13, no. 3: 1034. https://doi.org/10.3390/su13031034

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