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Article

Sustainable E-Procurement: Key Factors Influencing User Satisfaction and Dissatisfaction

by
Katarzyna Ragin-Skorecka
* and
Łukasz Hadaś
Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznań, Poland
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(13), 5649; https://doi.org/10.3390/su16135649
Submission received: 14 March 2024 / Revised: 22 May 2024 / Accepted: 30 June 2024 / Published: 2 July 2024
(This article belongs to the Special Issue Advances in Sustainability Research from Poznan University of Technology)
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Abstract

:
The aim of this study was to identify factors that influence satisfaction and dissatisfaction in the use of public e-procurement. The use of IT solutions promotes sustainable development. Hence, there is a need to conduct research that will allow for the best possible adjustment of e-procurement solutions in order to implement them as widely as possible in business practice. This study used a quantitative exploratory survey-based approach. The obtained research results were analyzed using statistical methods, including factor analysis PCA. Factor analysis identified three main satisfaction factors and two dissatisfaction factors in e-procurement use, highlighting the importance of support, intuitiveness, and security in user satisfaction. This study contributes to the existing literature by providing a nuanced understanding of the factors influencing user satisfaction and dissatisfaction within e-procurement systems, specifically highlighting the role of intuitive design and technical support. It offers a unique perspective by integrating these insights with the specific requirements of public procurement, thereby filling a gap in the research on enhancing user experience in the context of sustainable purchasing practices.

1. Introduction

In contemporary times, dynamically developing digital technologies play a key role in the functioning of organizations. Digital transformation is defined as the use of new digital technologies to achieve significant improvements in business operations [1]. Moreover, the digitization of many areas of activity within a company presents an opportunity that allows various entities to streamline their operations and find new markets that were previously beyond their reach, for instance, due to a lack of resources [2,3,4,5,6,7].
Furthermore, increasing attention is being paid to sustainable development [7,8,9], defined in the ISO as “the state of the global system, including environmental, social, and economic aspects, in which the needs of the present are met without compromising the ability of future generations to meet their own needs” [10]. In the area of procurement, a dedicated ISO standard has also emerged, where sustainable procurement is described as practices that “have the most positive impact on the environment, society, and economy throughout the entire lifecycle” [11]. Sustainable procurement refers to the aspects of sustainable development related to goods or services and suppliers in supply chains. The standard emphasizes the fact that sustainable orders contribute to the achievement of an organization’s sustainable development goals and to sustainable development in general [11].
One of the solutions responding to the trends of digitalization and sustainability is e-service portals dedicated to public procurement [12,13]. They have become a commonly used tool in procurement processes, due to the EU’s requirement for the digitalization of procedures in the area of public procurement [14] and the digitalization of an increasing number of activity areas in organizations.
The implementation of new digital technologies is associated with infrastructure and software, the use of which requires employees to have the right skills and attitudes, which the organization should take care of ensuring [15,16]. From the perspective of digital transformation, the research described in the literature has focused on change initiatives, referring to training employees [17], informing employees [18], and creating a digital mindset [19] as key factors in sustainable digital transformation.
On the other hand, the adaptation of digital solutions in business is linked to the need to ensure a high-quality user experience (UX). This means designing systems in an intuitive and user-friendly way to facilitate adaptation and increase the efficiency of using new technologies [20]. Identifying factors affecting UX, especially in the B2C segment, has been undertaken in many publications [20,21,22,23,24,25]. However, research and analysis concerning UX for the B2B market is significantly less common [26,27]. In the context of public procurement (G2B segment), such studies are even scarcer, as demonstrated by Hashim, Yusof, Hussain, and Ibrahim [28] in their systematic review.
The above considerations indicate that there is a research gap concerning the factors affecting the work with e-procurement solutions for public procurement, especially in the context of the impact of UX on the efficiency and satisfaction with procurement processes in the public sector. The results of research and analysis can provide valuable guidelines on how to better design and implement digital tools dedicated to e-procurement, taking into account the aspect of sustainable development.
The main goal of the study, the results of which are presented below, is to develop a model of key factors and the relationships between them that affect the efficiency of work in public e-procurement. Understanding the factors that influence satisfaction and dissatisfaction with the use of e-procurement is crucial for improving procurement processes and work efficiency, which further impacts the sustainable development of the organization and its environment. In the application area, the research findings can be helpful for creators and providers of e-procurement solutions, enabling them to tailor their solutions to user expectations and care for sustainable development.
Considering the exploratory nature of the research questions, an inductive theory approach was applied [29]. To investigate the factors of satisfaction and dissatisfaction with the use of public e-procurement, a survey was conducted among contractors submitting bids in public procurement procedures. Moreover, the article addresses the topics of procurement digitalization, user experience, and sustainable procurement. Then, the methodology and research results are presented. Section 5, including future research directions and implications for business practice, concludes the article.

2. Literature Review

2.1. Procurement Digitalization

Public procurement, the government process of purchasing goods and services from private suppliers, has significantly evolved over the past few decades. This process encompasses the entire lifecycle, from the initial concept and the definition of business needs to the end of the asset’s useful life or the conclusion of the service contract [30]. In the procedure for awarding public contracts, two types of entities usually participate: public organizations (procuring entities), which publish the intention to purchase goods and services according to certain rules and restrictions imposed by the government of each country, and suppliers (private enterprises, usually SMEs), who respond to invitations to submit offers, indicating the intention to sell [30].
Traditional public procurement faces many problems, especially in developing countries, which are characterized by bureaucratic procedures or corruption [31]. However, emerging information technologies offer governments the opportunity to transform the area of public procurement [30,32].
Recent years have enabled the digitization of the public procurement area, and IT solutions have emerged in the market to streamline the execution of this process. An e-procurement solution is an integrated, online system that carries out all purchasing processes and related activities, such as sending and receiving information regarding quotes, tenders, awarding of contracts, payments, and others [33,34]. Some of these solutions are adapted to the B2B segment, some were created solely for the public procurement market, and there are also solutions provided by the EU or the government. The aim of using these tools is to ensure that all public procedures improve accountability and transparency [35].
Among the problems associated with the implementation of public e-procurement on the ordering side, the complexity of solutions, lack of flexibility, high cost of internet services, and time consumption are pointed out. On the other hand, those submitting offers indicate the low intuitiveness of the applications and the difficulty of using them [28,36].
One of the solutions that can address the lack of satisfaction (or even the dissatisfaction) with the use of IT solutions is the need to consider user experience (UX) in the design of IT solutions. Companies often focus on the technological aspects of digitization, neglecting their ease of use and the intuitiveness of the interfaces, which are key to the effective implementation and acceptance of new technologies by employees [37].
User experience (UX) encompasses all forms of user engagement with an organization’s services and products [38]. UX refers to the emotions and feelings users experience during individual interactions with the system [28]. Moreover, user experience covers many research disciplines, including human–computer interaction (HCI), product design and development, psychology, and the physical state resulting from previous experiences, attitudes, skills, and personality [39].
In ISO standard 9241-210 [40], UX is defined as “a person’s perceptions and responses resulting from the use and/or anticipated use of a product, system, or service” [41]. Currently, UX is becoming an increasingly important parameter for achieving success of a product, system, or service in the market. This also applies to solutions dedicated to public e-procurement [22].

2.2. Sustainable Procurement

Sustainable procurement involves making purchasing decisions that have a positive impact on environmental protection, improve social conditions, and contribute to sustainable economic development [42,43]. The United Nations Development Programme defines sustainable procurement as “ensuring that the products and services we buy are as sustainable as possible, with the minimum environmental impact and the most positive social outcomes” [44].
Sustainable procurement is based on 12 main principles outlined in ISO 20400:2017 [11], which are as follows:
  • accountability for actions taken in the supply chain, taking into account the life cycle of goods and services,
  • transparency in decisions and actions that affect the environment, society, and economy, and encouraging suppliers to be transparent,
  • ethical behavior undertaken by the organization and promoted throughout the supply chain,
  • full and fair opportunity—the organization should avoid bias and prejudice in all procurement decisions,
  • respect for stakeholder interests,
  • respect for the rule of law and international norms of behavior,
  • respect for human rights,
  • innovative solutions—the organization should seek solutions to meet its sustainable development goals and encourage innovative procurement practices,
  • focus on needs—the organization should purchase only what is needed and seek more sustainable alternatives,
  • integration of the organization’s sustainability goals with all its procurement practices,
  • analysis of all costs incurred throughout the entire life cycle of a product or service, considering the costs and benefits to society, the environment, and the economy,
  • continual improvement of practices and outcomes in sustainable development and encouraging organizations in their supply chains to do the same.
In summary, according to Thai [45], public procurement and its management are fundamental functions of public financial management and service delivery. Effective and efficient public procurement systems are essential for achieving sustainable development goals.

3. Materials and Methods

The aim of the study was to evaluate IT solutions supporting the submission of offers electronically in public procurement tenders. The research methodology is presented in Figure 1. The study asked the following research questions:
  • RQ0. What are the satisfaction factors for e-services indicated in the literature?
  • RQ1. Is there a statistically significant relationship between the level of competence of e-procurement users and the size of the enterprise?
  • RQ2. Is there a statistically significant relationship between the level of competence of e-procurement users and the industry represented by the enterprises?
  • RQ3. What are the key factors influencing satisfaction with the use of public e-procurement?
  • RQ4. What are the key factors influencing dissatisfaction with the use of public e-procurement?
The survey method (CAWI technique) was chosen as the research method and the online survey technique was used. The selection of respondents was purposeful due to their place of employment—an employee as a contractor submitting offers in public procurement procedures. A request to participate in the study was sent by e-mail to over 10,000 business entities; 406 correctly completed questionnaires were received. The obtained research results were analyzed using statistical methods, including factor analysis PCA (principal component analysis) [46]. Due to the selected type of IT solution—e-procurement for public areas—satisfaction and dissatisfaction factors were initially formulated on the basis of previous experience, user opinions, and analysis of selected solutions available on the market. Factors were rated on a scale from 1 (unimportant) to 6 (crucial). Moreover, there was also a place for participants to add a factor of their own.
In order to answer the formulated research questions, the obtained results were subjected to statistical analysis. Spearman’s rho correlation analysis was used to determine the relationship between variables. Spearman’s correlation analysis (non-parametric correlation) was used because the respondents answered the questions on an ordinal scale. In order to compare more than 2 groups in terms of ordinal variables, analysis was performed using the Kruskal–Wallis H test. The research results presented a comparison of assessments of the level of competence depending on the size of the organization, and the level of competence was assessed on an ordinal scale. In the case of ordinal data, analysis using a non-parametric test is recommended.
For both difference tests, the Dunn pairwise comparison test with Bonferroni correction for the significance level was used as post hoc analysis. In order to characterize the factors of satisfaction and dissatisfaction in the use of e-procurement, a factor analysis using the PCA (principal component analysis) method with oblimin rotation was performed [46]. The number of factors was determined based on the Kaiser criterion (eigenvalues > 1) and Cattell’s criterion (scree plot). The level of significance was α = 0.05. To confirm the correctness of the obtained results, CFA—confirmatory factor analysis was also performed, which gave results consistent with PCA.

4. Results

A systematic literature review allowed for the identification of satisfaction and dissatisfaction factors associated with the use of e-service portals (Step 1, RQ0). The authors’ own analysis aligns with the findings of Hashim et al. [28] and Angeles & Nath [47]. The issue of user experience for e-procurement or related electronic administration systems can be divided into two groups. The first relates to satisfaction, transparency, efficiency, and reliability, while the second includes the following UX-related features: fairness, usability, compatibility, visibility, efficiency, attractiveness, and operational effectiveness. These features of e-service systems were overlaid with the specifics of public procurement, and a research questionnaire was prepared, which was verified by experts.
Based on the results obtained during Step 1, a survey questionnaire was prepared. Subsequently, research was conducted using the CAWI method. The number of responses received was statistically reliable for the population of enterprises in Poland (the minimum sample size is 384). The analysis of the results allowed for the formulation of the following conclusions.
Respondents rated, on a scale from 1 (lowest rating) to 6 (highest rating, their own competencies in submitting offers using e-procurement solutions. The average rating in the sample was M = 4.84 (SD = 0.94). The vast majority of respondents rated their competencies highly—the mode was 5, which confirms that the study covered individuals with suitably high competencies.
The analysis of the relationships between the level of competencies and the size of the organization (Step 2, RQ1) revealed a weak and positive correlation, rs = 0.10; p = 0.041 (Spearman’s rho test). To determine the differences in the level of competencies according to the size of the enterprise, an analysis was conducted using the Kruskal–Wallis H test. The analysis showed no significant differences between the level of competencies and the size of the organization, H(3) = 4.93; p = 0.177; η2 < 0.01. The descriptive statistics of the self-assessment of competencies depending on the size of the organization are included in Table 1.
To determine the differences in the level of competencies according to the type of industry (Step 3, RQ2), an analysis was conducted using the Kruskal–Wallis H test. The analysis showed no significant differences between the compared groups, H(8) = 11.89; p = 0.156; η2 = 0.01. This means that regardless of the type of industry, respondents assessed their level of competencies in a similar manner. Descriptive statistics for competency ratings according to the distinguished industry are presented in Table 2.
To identify groups of satisfaction and dissatisfaction factors in the use of e-procurement portals, factor analyses were conducted using the principal component analysis (PCA) method with oblimin rotation (assuming that there are correlations between variables). The decision on the number of factors was based on Kaiser’s criterion (eigenvalue > 1) and Cattell’s scree plot.
For the assessment of satisfaction factors, the KMO measure was 0.66, and Bartlett’s test of sphericity was statistically significant (χ2(36) = 754.26; p < 0.001), confirming the appropriateness of conducting a factor analysis. Based on the eigenvalue and the scree plot (Figure 2), three factors can be distinguished, which together explain 58.5% of the variance in satisfaction with the use of e-procurement portals. The factor loadings are presented in Table 3.
The first factor (G1, support and intuitiveness of e-procurement) includes the following three variables: intuitive instructions, technical support for bidders, and intuitive e-procurement portal usability. The second factor (G2, improvements to the e-procurement process) included submitting bids in the form of an electronic catalog and the ability to sign electronically directly in the system. The third satisfaction factor (G3, simplicity and security of e-procurement) was related to no registration being required, the ease of searching for announcements, and automatic encryption of bids.
The authors propose a model for creating satisfaction using e-procurement, presented in Figure 3 (Step 4, RQ3). The factors included in G1 are particularly important in building satisfaction. This is the group whose share in shaping satisfaction with the use of e-procurement is the highest. Therefore, when designing and implementing solutions in this area, organizations should primarily take care of intuitive instructions, technical support for bidders, intuitive e-procurement portal usability, and the availability of training for bidders.
For the dissatisfaction factors, the KMO measure was 0.76, and Bartlett’s test of sphericity was statistically significant (χ2(36) = 988.26; p < 0.001), confirming the appropriateness of conducting a factor analysis. Based on the scree plot (Figure 4), two factors can be distinguished, which together explained 51.19% of the dissatisfaction with the use of e-procurement. The factor loadings are presented in Table 4.
The factors that are crucial in the emergence of dissatisfaction while using e-procurement fall into Group 1 and are (Step 5, RQ4) as follows:
  • A lack of intuitive instructions,
  • low intuitiveness,
  • no technical support,
  • no automatic encryption of bids,
  • need to install additional software,
  • no training available.

5. Discussion

In our research, the statistical analysis showed no significant (strong) relationships between the level of respondents’ competencies in submitting offers using e-procurement and the size of the organization they work for, or the industry to which the organization belongs. Such a result proves that the advancing level of digitalization of procurement processes invariably forces an increase in competencies to a level that allows for effective (in terms of the requirements set by software and legal regulations) submission of offers electronically [48,49].
In the analyzed model of influence on satisfaction with the use of e-procurement systems, three categories of variables can be distinguished (see Figure 3). Comparing them with the factors of dissatisfaction, it can be noticed that the obtained results complement each other.
The first group of variables (G1), encompassing support and intuitiveness of use, is often emphasized in the literature on user experience (UX). Researchers point out important aspects such as the ease of learning the system, functionality, protection against user errors, interface aesthetics, and accessibility [28]. Users may feel discouraged by a system that is unfriendly to use, which is associated with the need to put additional effort into its daily operation [50], and this may limit their ability to make more informed and sustainable purchasing decisions. The aspect of intuitiveness in operation allows users to easily perform tasks in e-procurement and efficiently accomplish tasks and achieve goals, including those related to sustainable development [51]. According to Alnuaimi and co-authors [52], having the right skills is key to the effective use of e-procurement; thus, appropriate competencies are essential for the effective utilization of the system. Therefore, the G1 variables, identified in our study, play a significant role in building user satisfaction with the use of solutions in the e-procurement area.
Improvements to the e-procurement process—identified in the second group in our model (G2)—contribute to increased transparency in the public procurement area and become a key element supporting sustainable development. Full transparency of the e-procurement system is a necessary condition for its acceptance by government institutions and bidders, which simultaneously limits the possibility of unauthorized interventions [52] and enables the implementation of sustainable practices through more accurate selection of suppliers according to environmental, social, and economic criteria [53]. In the context of this issue, researchers such as Wang et al. [54], Charpin et al. [55], Oluka et al. [56], and Koggalage et al. [57] emphasize the need to increase the transparency of e-procurement procedures to encourage wider use of these systems. Moreover, well-functioning and user-expectation-meeting e-procurement solutions support sustainable development, for example, by promoting responsible purchasing practices [58,59].
The simplicity and the security of e-procurement solutions (G3) are linked to the ability for conscious use of the system. These two aspects significantly influence the adoption of sustainable purchasing practices. These issues can be broadly viewed from the perspective of system compatibility and interoperability [60]. Aduwo et al. [61] highlight the aspect of interoperability in the context of tools or applications of e-procurement systems, which facilitates information exchange between different entities and promotes transparency, a key element of sustainable development. Imamoglu and Rehana [62] point out the need to consider interoperability using information and communication technologies (ICT) in public procurement, which should facilitate communication between suppliers and government bodies, and this can contribute to better and more sustainable management of available resources. Security, understood as the system’s ability to protect the privacy of users and stakeholders and secure data against unauthorized access, is not only a guarantee of data protection but also an element that builds trust in e-procurement systems. As noted by Choi et al. [60], this dimension of security is a key factor in the implementation of e-procurement in organizations and, in our opinion, can support sustainable purchasing practices by ensuring transparency and accountability. Research by Afolabi et al. [63] shows that transaction security in e-procurement significantly impacts purchasing decisions, encouraging users to use the system thanks to existing security features, which directly translates into promoting sustainable purchasing choices.

6. Conclusions

In this study, a deliberate decision was made to limit the scope of analysis to assessing the factors of satisfaction and dissatisfaction with the use of e-service portals, omitting a detailed evaluation of individual e-procurement solutions available on the market. This decision stemmed from the research assumptions, which did not anticipate an individual analysis of each of the systems (which is significant, considering their diversity), as the authors indicate. The literature on user satisfaction with e-service portals has been extensively discussed in the works of Crescenzi et al. [64], Ramkumar et al. [65], Seo et al. [66], and Sunmola & Shehu [67]. However, it should be noted that users’ experiences of previous interactions with such systems could have had a significant impact on the assessment of factors influencing satisfaction or dissatisfaction, which were presented in the article.
Furthermore, the study did not undertake an analysis of the efficiency of using e-procurement systems in the context of users’ ability to maintain high productivity while reducing the time needed to complete tasks, which has been discussed in the works of Ibem et al. [34] and van Staden et al. [68]. These issues have been more broadly considered in the publications of Charpin et al. [55] and Wang et al. [54]. Also, the reliability of systems, understood as the availability of devices and the stability of the internet connection, was not the subject of this analysis. Discussions on this topic can be found in the works of Afolabi et al. [63] and Alnuaimi et al. [52].
In our opinion, the categories of satisfaction factors defined by Hashim’s team [28] appear too universal, making their direct contribution to filling the existing knowledge gap, especially in a practical context, difficult to identify. Therefore, the division of variables we propose (see Figure 3) seems to better meet both practical and research needs, providing a more precise look at the analysis of user experience with e-procurement solutions. The model we present can significantly contribute to a deeper understanding and improvement of user interactions with e-procurement solutions, which is particularly important in the context of promoting sustainable purchasing. Through a more detailed analysis of UX, it becomes possible not only to improve overall user satisfaction but also to encourage users to make more informed and responsible purchasing decisions, which directly aligns with the goals of sustainable development.
Future research should also address the aspect related to artificial intelligence and its potential for use in e-procurement. Potential application areas for these solutions include intelligent search algorithms, supplier risk identification, compliance monitoring throughout the supply chain, real-time supplier evaluation, and automated negotiation agents [56,69,70].

Author Contributions

Conceptualization, K.R.-S. and Ł.H.; methodology, K.R.-S. and Ł.H.; software, K.R.-S. and Ł.H.; validation, K.R.-S. and Ł.H.; formal analysis, K.R.-S. and Ł.H.; investigation, K.R.-S. and Ł.H.; resources, K.R.-S. and Ł.H.; data curation, K.R.-S. and Ł.H.; writing—original draft preparation, K.R.-S.; writing—review and editing, Ł.H.; visualization, K.R.-S.; supervision, Ł.H.; project administration, K.R.-S.; funding acquisition, K.R.-S. and Ł.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Poznan University of Technology, Faculty of Engineering Management (project number: 0812/SBAD/4218).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

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

Data Availability Statement

Data are contained within this article.

Conflicts of Interest

The authors declare no conflicts of interest.

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Sustainability 16 05649 g001
Figure 1. Research methodology. Source: own study.
Figure 1. Research methodology. Source: own study.
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Figure 2. Scree plot for factors of satisfaction with the use of e-procurement. Source: own study.
Figure 2. Scree plot for factors of satisfaction with the use of e-procurement. Source: own study.
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Figure 3. A model for creating satisfaction with the use of public e-procurement for enterprises submitting offers in proceedings. Source: own study.
Figure 3. A model for creating satisfaction with the use of public e-procurement for enterprises submitting offers in proceedings. Source: own study.
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Figure 4. Scree plot for factors of dissatisfaction with the use of e-procurement. Source: own study.
Figure 4. Scree plot for factors of dissatisfaction with the use of e-procurement. Source: own study.
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Table 1. Descriptive statistics of self-assessment of competences depending on the size of the organization.
Table 1. Descriptive statistics of self-assessment of competences depending on the size of the organization.
The Size of the OrganizationNMSDMeMinMaks
Micro1494.740.955.026
Small1264.860.925.016
Medium864.910.835.036
Large455.001.135.016
Source: own study (N = 406).
Table 2. Descriptive statistics of self-assessment of competences depending on the type of industry.
Table 2. Descriptive statistics of self-assessment of competences depending on the type of industry.
IndustryNMSDMeMinMaks
Research and consulting374.811.13516
Construction1174.850.92526
Trade284.461.14526
ICT585.120.97536
Machine industry154.870.64536
Furniture144.930.92536
Medical584.790.79536
Cleaning services354.740.95536
Others444.840.86536
Source: own study (N = 406).
Table 3. Factor loading matrix of satisfaction in using e-procurement.
Table 3. Factor loading matrix of satisfaction in using e-procurement.
Group
G1G2G3
intuitive instructions0.845−0.0430.038
technical support for bidders0.816−0.0140.239
intuitive e-procurement portal usability0.759−0.136−0.287
submitting bids in the form of an electronic catalog−0.0610.8190.035
ability to sign electronically directly in the system−0.1590.811−0.013
availability of training for bidders0.3480.3600.046
no registration required0.3740.2050.707
ease of searching for announcements0.4130.090−0.486
automatic encryption of bids0.2510.369−0.483
Source: own study (N = 406).
Table 4. Factor loading matrix of dissatisfaction in using e-procurement.
Table 4. Factor loading matrix of dissatisfaction in using e-procurement.
Group
12
lack of intuitive instructions0.878−0.054
low intuitiveness0.7960.001
no technical support0.7670.026
no automatic encryption of bids0.627−0.125
need to install additional software0.5170.343
no training available0.2800.151
necessity to sign electronically directly in the system−0.0730.857
submitting bids in the form of an electronic catalog−0.0720.826
registration required0.1570.469
Source: own study (N = 406).
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Ragin-Skorecka, K.; Hadaś, Ł. Sustainable E-Procurement: Key Factors Influencing User Satisfaction and Dissatisfaction. Sustainability 2024, 16, 5649. https://doi.org/10.3390/su16135649

AMA Style

Ragin-Skorecka K, Hadaś Ł. Sustainable E-Procurement: Key Factors Influencing User Satisfaction and Dissatisfaction. Sustainability. 2024; 16(13):5649. https://doi.org/10.3390/su16135649

Chicago/Turabian Style

Ragin-Skorecka, Katarzyna, and Łukasz Hadaś. 2024. "Sustainable E-Procurement: Key Factors Influencing User Satisfaction and Dissatisfaction" Sustainability 16, no. 13: 5649. https://doi.org/10.3390/su16135649

APA Style

Ragin-Skorecka, K., & Hadaś, Ł. (2024). Sustainable E-Procurement: Key Factors Influencing User Satisfaction and Dissatisfaction. Sustainability, 16(13), 5649. https://doi.org/10.3390/su16135649

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