Performance Implications of Aligning Supply Chain Practices with Competitive Advantage: Empirical Evidence from the Agri-Food Sector

: During this pandemic crisis, supply chain management (SCM) has emerged as a critical source of competitive advantage driving organizational performance, especially in the agri-food sector, since public health and consumers’ conﬁdence as well as ﬁrms’ survival depend on the effectiveness of supply chain networks. This study adopts two central SCM practices, namely strategic suppliers’ partnerships and partners’ information quality & sharing and tests their relationships with competitive advantage (quality, process ﬂexibility, and time to market) and business performance (proﬁtability and market share), based on an empirical study of 300 enterprises in the agri-food sector in Greece. After data collection, we deploy a diagnostic-exploratory model, utilizing fuzzy cognitive mapping, with agent-based modeling following up for development for data prediction and simulation. Consequently, we found that supply chain ﬁrms’ compelling and robust relationships with supply chain partners and suppliers can promote their proﬁtability and market share. Relationships of this kind focus on quality information sharing and are strongly connected with businesses’ quality, process ﬂexibility, and time to market competitive capabilities. Hence, our study provides salutary info to supply chain ﬁrms regarding potential implementation to existing and new collaborators.


Introduction
The agri-food sector is of prime importance for many countries worldwide, including Greece. The sector is inherently connected to all sustainability dimensions and is explicitly and implicitly associated with many of the Sustainable Development Goals (SDGs) set in Resolution 70/1 entitled "Transforming our world: the 2030 Agenda for Sustainable Development", which was adopted by the United Nations General Assembly in 2015 [1]. Among others, the agri-food sector is a key employer, a demanding energy user, a significant polluter, and responsible for feeding the planet. Agri-food supply chains are the main instrument for connecting various actors in a 'from farm to fork' sense, i.e., producers, suppliers, manufacturers, service providers, retailers, and consumers. Therefore, gaining insights into the relationships that are formed in a supply chain context is crucial in order to facilitate the accomplishment of the SDGs.
In the 1980s, most businesses participated in the competition as separate entities. To improve their efficiency, they concentrated on matters such as total quality management, just-in-time, and benchmarking. Customers have become more sensitive to additional attributes as a result of market globalization. The demands of the market are rapidly evolving. Organizations must satisfy their customers in terms of cost, quality, efficiency, variety, and timely delivery, among other things. In such a scenario, companies have recognized that firm success is not enough to assist them in achieving these goals. Suppliers, delivery, and disposal or reuse and recycling [19]. Firms have established social and environmental policies across their global supply chains as a result of the growing trend of global distribution networks [20]. Via the idea of the green supply chain, sustainability has been adopted and implemented into the area of manufacturing and service management. Managers and practitioners are becoming more interested in green regulations and standards when it comes to choosing new strategies for manufacturers and organizations [21]. Incorporating sustainability considerations into the supply chain allows businesses to adapt to increasing stakeholder pressure while still improving profit and competitive positions [22].
There is a growing concern in analyzing global supply chains for key success factors such as cost, efficiency, distribution, sustainability, and interdependency, with the goal of developing green and efficient supply chain approaches. Material management, knowledge sharing and delivery, capital flows, and collaboration among supply chain partners can all be improved by incorporating sustainability measures into their supply chains [23].
Following this rationale, this study aims to investigate the relationships among SCM practices (strategic suppliers' partnerships, partners' information quality and sharing), firm's competitive advantage (quality, process flexibility, and time to market), and business performance (profitability and market share).
The remainder of the paper is organized as follows. Section 2 presents the theoretical background. Section 3 describes the conceptual framework and develops the hypothesized relationships. Section 4 provides research methodology, sampling, and questionnaire design. Section 5 develops fuzzy cognitive mapping (FCM), and Section 6 analyses agentbased modeling (ABM), followed by the discussion on research findings and the conclusions of the study.

Relationships among Supply Chain Practices, Competitive Advantage and Business Performance in the Literature
The triptych "relationships-competitive advantage-performance" has been addressed in the literature from various viewpoints. Although there has been a lot of work completed on measuring and managing internal organizational operations, only during the last decade have systematic attempts observed and concentrated on supply chain performance measurement from various viewpoints, in different settings, and through pursuing different research agendas and practices. Various authors have provided complementary perspectives and the notions they have used cannot be univocally defined. Moreover, their approach may be dictated by their research focus and the sector they encompass. Therefore, the main objective of this section is to outline the multidimensionality of the above triptych in the case of SCM.
The growing role of inter-organizational relationships has prompted companies to reconsider how they choose their suppliers and partners. Selecting and managing suppliers and partners have been found to be proactive practices that will deliver quality development in the supply chain, as businesses depend on their core competencies and depend on suppliers and partners to gain a competitive advantage in their operations [24]. Various issues such as flexibility over time and quantity of order, service quality, financial stability, reliability, brand recognition, R&D, trust, economic and political stability of the supplier's country, environmental and social responsiveness, working conditions, reputation, responsiveness, and others are discussed in addition to the main criteria explored in papers such as cost, delivery, quality, and service [25,26]. Alignment can be described in the scope of supply chain as incentives for partners to boost overall supply chain efficiency. Alignment aims to increase consumer satisfaction by encouraging co-creation, leading to better financial, organizational, and business results. Quality, cycle times, prediction accuracy, and consumer satisfaction develop improvements [27]. Moreover, knowledge sharing in the supply chain increases efficiency, lowers costs, and allows easy access to products; therefore, a lack of knowledge sharing may be the primary cause of poor SCM performance. As a result, identifying the drivers of knowledge sharing across organizations, and especially across supply networks, is becoming increasingly relevant. Moreover, knowledge is an important source of innovation potential [28]. Information integration improves logistics and partnership capabilities in supply chain cooperation, which is valuable to supply chain efficiency [29].
A company's long-term strategic advantage is founded on resources and strengths that are difficult for a rival to duplicate or replicate. Intangible assets such as client and supplier relationships, company culture, and the opportunity to collaborate to build these relationships are instances of intangible assets that improve a firm's competitive advantage and contribute to improved supply chain efficiency [30]. In addition, a competitive advantage may be enhanced based on excellence of quality, delivery, process flexibility, product innovation, time to market, price, and cost [31]. Studies on competitive advantage have increasingly changed their emphasis from individual businesses to interorganizational structures such as supply chains [32].
Performance assessment is critical for an organization because it provides useful data for strategic, tactical, and operational decision-making [33]. Supply chain performance evaluation has a significant effect on SCM and can improve overall system reliability while also providing businesses with competitive advantages [34,35]. There are both qualitative and quantitative performance indicators to evaluate in the case of supply chains. The former includes customer satisfaction and supplier performance, while the latter is about sales, profit, cost, return on investment, inventory, response time, and lead time [36].
The importance of sustainable SCM as a catalyst for creating useful inter-organizational capital is examined based on a content review [37]. This eventually leads to a potential sustained inter-firm competitive advantage. Based on the resource-based view and its expansion-the relational view, it is argued that as rivalry moves from an inter-firm to an inter-supply-chain level, partner-focused supply management skills develop into organizational core competencies. Strategic coordination is seen as a critical source of comparative advantage in the "collaborative model" of SCM. Collaboration is becoming more important as supply chains are tasked with maintaining fiscal, financial, and social success over the course of a product's entire life cycle.
Using analytical evidence gathered from manufacturing business units operating in the United States, the degree of congruence (fit or alignment) between a firm's outsourcing drivers and its strategic goals is analyzed, and then the corresponding effect on both supply chain and business performance is measured [38]. Outsourcing alignment across all five strategic goals (time, quality, innovativeness, flexibility, and cost) is positively and substantially linked to supply chain efficiency. They also observed that a firm's supply chain efficiency is strongly and substantially related to its business performance.
The links between SCM processes and their effects on financial and non-financial results of businesses were addressed by investigating a systemic model that connects the relationships between external customer-firm-supplier integration, internal SCM contextual considerations, and different dimensions of firm success in Taiwan information-related companies [39]. External customer-firm-supplier relationship management was found to have a positive impact on firm internal contextual causes, which has a positive impact on firm profitability. This result shows that an effective SCM implementation increases not only organizational performance but also customer loyalty and financial performance indirectly. Furthermore, higher financial success can be attributed to increased customer value as a result of improved customer loyalty.
The study of original equipment manufacturer (OEM) suppliers' SCM practices in the Association of Southeast Asian Nations automotive industry reached three main conclusions [40]. First, OEM suppliers' SCM practices can be classified into supply chain integration, information sharing, and facility position selection configurations. Then, high-performance OEM suppliers place a greater emphasis on SCM operations. Moreover, operational efficiency is strongly linked to supply chain integration and knowledge exchange.
The relationship between supply chain performance, competitive advantage, and company performance is examined on a survey of manufacturing firms from several Chinese regions [41]. The size of a manufacturing firm's supply chain success is determined using exploratory and confirmatory factor analysis. The findings demonstrate that supply chain efficiency entails progress on four dimensions: supplier performance, consumer responsiveness, supply chain flexibility, and supply chain cost. Moreover, these dimensions all have significant effects on competitive advantage, and that, with the exception of supplier efficiency, each affects firm performance.
A resource-based view scheme was used to model supplier selection and integration, as well as their effect on buyers in the case of US manufacturing firms [42]. This viewpoint implies that buyers gain supplier skills in order to convert them into competitive advantages. It also represents the relational interfirm perception that competitive sources of advantage can be found in partnerships, thereby extending resource-based view theory beyond firm's borders. While buyer skills may have an effect on a company's bottom line in any of the areas studied, other mechanisms may also have impacts. Therefore, the results of specific buyer capacities in supplier acquisition or integration can be confusing.
The integration-performance link is explored by shedding light at the antecedents and implications of global supplier integration [43]. Then, a theoretical framework is developed based on strategic management and the relational understanding of competitive advantage. The central premise of this theory is that companies in a supply chain may form partnerships that lead to interorganizational processes that enable them to systematically recognize and incorporate useful knowledge across organizational boundaries.
By addressing the relational view of the firm in the case of US manufacturing companies, it was proposed that, in order to gain performance benefits, producers and suppliers should establish a synergistic partnership and develop interrelated systems to obtain resources [43]. Moreover, the analysis was focused on global supplier integration in developing a theoretical model based on the relational view since it is becoming an extremely useful source of competitive advantage, maximizing flexibility efficiency outcomes that then convert into supply chain benefit.
In analyzing the pork processing industry in China, internal alignment and buyersupplier partnership collaboration seem to be directly linked to company success in both ways [44]. Both upstream and downstream partnerships are unrelated to information infrastructure integration, while pork processors' success in partnerships with downstream customers is greatly influenced by logistics integration.
The most prevalent approaches of modern sustainable SCM were classified and then it was concluded that businesses that prioritize sustainability in their corporate strategy use such SCM practices [45]. These activities are closely linked to aspects of partnership efficiency within the supply chain as well as partnerships with external stakeholders. The performance in all three pillars of sustainability can be improved by engaging in such activities.
Toward comprehending the complex mechanisms that shape business performance in South Korean companies, it was reported that mediation effects are driven by crossfunctional and supply chain communication effects, which play important and complementary roles [46]. An environmental sustainability orientation that is strengthened by cross-functional partnerships and supply providers has a positive impact on environmental performance, but, without the participation and implementation of teamwork, an environmental sustainability orientation cannot have a meaningful impact. Simply implementing an environmental management orientation will not boost results in which there is a lack of integration of common interests across strategic units and supply chain areas of businesses.
Strategic supplier partnership, customer relationship, information sharing, information quality and internal lean practices are among the five aspects of SCM practices addressed using a survey of manufacturing companies in Greece [47]. The results affirmed the importance of all SCM activities, especially information sharing, in establishing a sustainable competitive advantage and improving supply chain performance.
To determine the extent to which innovative knowledge information sharing activities offer a strategic advantage to Australian businesses, manufacturing companies in Australia were analyzed [48]. Internal knowledge integration, knowledge integration with customers, and knowledge integration with suppliers were found to be closely interrelated, indicating that knowledge-based integration of companies with their partners is a viable option. Furthermore, these variables clarified roughly one-third of the variation in firm performance. Therefore, effectiveness of knowledge-based teamwork can contribute toward improving firm efficiency.
Buyer-supplier partnerships were empirically analyzed by addressing the concept of supplier integrative capacity, as well as its connections to organizational and financial performance [49]. The results outline the complementarities between integration sensing, seizing, and transforming, affecting operational performance in terms of process flexibility, cost efficiency, and firm performance. The significance of the integration transforming dimension in connecting supplier integrative capacity to results emphasizes the need to revise and change supplier integration processes on a regular basis in order to remain competitive.
The importance of information integration between partners for improving decision efficiency and stabilizing partnership relationships is highlighted in the case of high-tech manufacturing firms in Taiwan [29]. Firms can minimize inventory with more accurate orders and logistics proficiency due to precise integration. Second, it shows that logistics capability and relationship closeness are antecedents of SCM success. Logistics is becoming increasingly important to a company's SCM and strategic position.
The case of environmental collaboration in supply chains was investigated in Taiwanese companies as to how it is connected with the environment-performance relationship [50]. Specifically, environmental collaboration with suppliers and environmental collaboration with consumers were addressed. Only the former serves as a moderator in the improvement of environmental sustainability policy and green product strategy when it comes to the discrepancies between the impacts of both constructs. As a result, environmental collaboration with suppliers helps to boost competitive advantage. Contrary to popular belief, environmental collaboration with consumers has a direct positive impact on a company's productivity.
The relationships between greening the supply chain, environmental performance, and competitive advantage was studied among Malaysian ISO 14001 certified manufacturing companies [51]. It was found that greening the supplier is positively linked with environmental performance and competitive advantage, whereas environmental performance was positively linked with competitive advantage. In this case, environmental efficiency plays a role in mediating the relationship between supplier greening and competitive advantage.
The relationship between supply chain collaboration and business process management has been investigated [52]. A methodology has been established to define the connection between intra-and inter-firm management activities. Internal teamwork entails phenomena that can be caught via four major constructs: strategic alignment, information technology, process orientation, improvement, and people involvement. External cooperation is emphasized in supply chain collaboration, which includes four major constructs: information sharing and communication, joint activities, sharing common goals, and incentive alignment. At both the firm and supply chain levels, effective organizational growth and collaboration with supply chain partners can result in superior results. The results from case studies form Thailand show that collaboration with supply chain partners has advantages in terms of organizational performance. Firms can fairly devote resources to pursue their collaboration in order to achieve collaborative advantages and improve organizational performance, despite limitations in these resources.
The Iranian automotive industry's economic, environmental, and operational performance was examined with respect to the effects of green SCM activities [53]. A conceptual model was introduced and then validated, linking green SCM activities and supply chain performance. The former entails supplier management, product recycling, organizational involvement, and the product lifecycle management. The four notions of supply chain performance are environmental performance, positive and negative economic performance, and organizational performance.
The association between environmental practices and performance was examined using a natural resource-based perspective which was then validated in the case of the UK food industry [54]. The results indicate a positive relationship between downstream environmental logistics and environmental performance as well as between downstream environmental logistics and cost performance. In addition, customer participation has a moderating impact on the relationship between environmental policies and performance, which indicates that as consumers are involved in the implementation of downstream environmental logistics activities, environmental and cost performance improve further.
Having the supply chain operations reference (SCOR) model as a starting point, its application was extended to circular supply chains [33]. Circular supply chain performance metrics vary from conventional supply chain performance indicators. Unlike conventional supply chains, which are evaluated based on factors such as cost, quality, and output, circular supply chains are evaluated based on resource use and environmental impact across the supply chain. Therefore, the process categories in the traditional SCOR model were reframed to include circular SCM considerations such as eco-design, sustainable procurement, material and energy reduction, product share, and reverse logistics.
The impact of green business orientation, green supply chain relationship efficiency, and green absorptive capability of a firm on supply chain green competitive advantage was examined in the case of Taiwan [55]. The findings show that green market orientation has a positive impact on the green relationship quality. Green business orientation, conversely, has no clear impact on green competitive advantage. In addition, relationship quality has a positive impact on green absorptive capacity as well as green competitive advantage.
When observing the impact of green logistics management on company performance in the Greek agri-food sector [56], the results show that logistics networking and transportation orientation, which reflects the integration of information technology, optimization, and green standardization in the transportation and logistics network, dominates because it is related to three of the four business performance constructs used in this study, namely financial, innovation, and social performance. Regarding the impact of green logistics management on green performance, logistics networking and transportation are critical to all green performance dimensions, i.e., resource use and safety as well as environmental process management outcomes, while other internal logistics operations are less influential. In terms of the impact of green logistics management on supply chain performance, information sharing, which promotes logistics network openness and cooperation, is linked to all facets of green SCM except traceability, including supply chain innovation, distribution, cost, flexibility, and optimization.

Conceptual Framework & Research Hypotheses
This study's conceptual framework focuses on the connections among SCM practices (strategic suppliers' partnerships, partners' information quality, and sharing), competitive advantage (quality, process flexibility, and time to market), and business performance (profitability and market share), based on an empirical study of 300 enterprises in the agri-food sector in Greece.
All the above notions are addressed in various ways in many of the studies discussed in Section 2. However, the hypotheses formulation presented in this section is grounded on the authors' expert opinion, following literature review insights. As such, it may be regarded as a conceptual model applicable in SCM, which will be validated through an empirical study in the remainder of the paper.
Developing strong and healthy relationships built on sharing information with agents of outer environment has been one of the most critical factors for businesses' survival. Examining and focusing on important quality relationship improvement can be seen as a crucial step. For market survival, businesses seek to optimize profitability and market share. In this purpose, business' competitive aspects like quality, flexibility, and time spent in market can provide a realistic criterion for assessing relationships' effects on businesses' profitability and market share. Results of the gathered data can give valuable feedback to business strategists about important metrics measurement for relationships assessment and to organization itself, regarding possible benefits from investing in building strong relationships with specific groups of business' partners. Therefore, we settle four research hypotheses, based on our theoretical analysis over effect of strong business relationships with certain agents of their outer environment.
The first hypothesis is based on whether businesses' information quality and sharing with supply chain partners can positively affect their profitability. In order for this possibility to be assessed, businesses need to reach a specified percentage of performance in terms of quality, flexibility, and time spent in market. Having high levels of quality and flexibility as well as being first to introduce new products in the market can support businesses and establish a strong basis for competitive advantages in that market.

Hypothesis 1 (H1).
Partners' information quality and sharing is related positively to Businesses' Profitability, with high standards of competitive advantage (Quality, Flexibility, and Time to Market).
Next, our second research hypothesis is based on information quality and sharing with business partners. We aim to estimate the effect of this relationship to businesses' market share. Keeping as necessary condition high levels of quality, flexibility, and time to market, we examine if strong supply chain partners relationships can lead to higher business share in market.

Hypothesis 2 (H2).
Partners' information quality and sharing is related positively to Businesses' Market Share, with high standards of competitive advantage (Quality, Flexibility, and Time to Market).
For the last hypotheses, we retain the previous qualities as we target to find possible effects of businesses' relationships with suppliers to their profitability and market share. In other words, it is important for organizations, especially those who perform at a competitive level; thus, they have reached a desirable and efficient grade of quality, flexibility, and time spent introducing new products to the market to acknowledge the impact of strong relationships with suppliers on their profitability (Hypothesis 3) and market share (Hypothesis 4).

Sampling and Data Collection
This study aims to explore whether SCM practices exert an impact on business performance, through firms' competitive advantage. In order to test research hypotheses, a survey was conducted by using a structured questionnaire that was completed by personal interviews. The field research was focused on the agri-food supply chain sector, as this industry provides opportunities and threats for food security, supply chain resilience, and social wellbeing during the COVID-19 crisis. From the initial sample of 840 key respondents (CEOs or managers) in the regions of Attica and Viotia (Central Greece) where the vast majority of logistics services firms in Greece have been allocated, 300 valid questionnaires (34 questionnaires were excluded from the analysis as they had more than 10% of missing data) were gathered (convenience sampling), thus achieving a response rate of 35.7%, which is considered to be satisfactory for this type of empirical research. The 11% of respondents were CEOs or general managers, the 6% were owners, and the remainder were managers. The 58% were between 25 and 45 years old, the 58% were males, the 62% had more than 10 years working experience, the 69.8% had more than 5 years in this company, and the 19.7% held a postgraduate degree. Regarding participating firms' demographics, the 66.1% were independent firms while the 27.8% were members of a corporate group. The 33.3% of firms that responded were retailers or wholesalers, the 36% were food processing companies and the remainder were divided into the catering, packaging, and logistics sectors.

Questionnaire Design
Field research was conducted via a structured questionnaire addressing SCM practices (strategic suppliers' partnerships, partners' information quality, and sharing), competitive advantage (quality, organizational flexibility and time to the market), and business performance (profitability and market share) scales, which were built on empirically validated constructs (see Tables 1-3). In addition, respondents' gender, age, education level, and working experience were tested for their association with our research design, and no significant effects were detected. The research instrument was based on a seven-

Sampling and Data Collection
This study aims to explore whether SCM practices exert an impact on business performance, through firms' competitive advantage. In order to test research hypotheses, a survey was conducted by using a structured questionnaire that was completed by personal interviews. The field research was focused on the agri-food supply chain sector, as this industry provides opportunities and threats for food security, supply chain resilience, and social wellbeing during the COVID-19 crisis. From the initial sample of 840 key respondents (CEOs or managers) in the regions of Attica and Viotia (Central Greece) where the vast majority of logistics services firms in Greece have been allocated, 300 valid questionnaires (34 questionnaires were excluded from the analysis as they had more than 10% of missing data) were gathered (convenience sampling), thus achieving a response rate of 35.7%, which is considered to be satisfactory for this type of empirical research. The 11% of respondents were CEOs or general managers, the 6% were owners, and the remainder were managers. The 58% were between 25 and 45 years old, the 58% were males, the 62% had more than 10 years working experience, the 69.8% had more than 5 years in this company, and the 19.7% held a postgraduate degree. Regarding participating firms' demographics, the 66.1% were independent firms while the 27.8% were members of a corporate group. The 33.3% of firms that responded were retailers or wholesalers, the 36% were food processing companies and the remainder were divided into the catering, packaging, and logistics sectors.

Questionnaire Design
Field research was conducted via a structured questionnaire addressing SCM practices (strategic suppliers' partnerships, partners' information quality, and sharing), competitive advantage (quality, organizational flexibility and time to the market), and business performance (profitability and market share) scales, which were built on empirically validated constructs (see Tables 1-3). In addition, respondents' gender, age, education level, and working experience were tested for their association with our research design, and no significant effects were detected. The research instrument was based on a seven-point Likert-type scale. Thus, 13 items were adopted to measure supply chain practices, 11 items to assess competitive advantage, and 5 items reflecting key performance indicators (KPIs), as depicted in Tables 1-3. The survey tool was tested by 10 managers from processing firms, retailers, and wholesalers in the agri-food supply chain, in order to be finalized.

SCM Practices Items
Items Group Indicative Literature

1.
We consider quality as our number one criterion in selecting suppliers.
We regularly solve problems jointly with our suppliers.

3.
We have helped our suppliers to improve their product quality.

4.
We have continuous improvement programs that include our key suppliers.

5.
We include our key suppliers in our planning and goal-setting activities.

6.
We inform trading partners in advance of changing needs.
Our trading partners share proprietary information with us.

8.
Our trading partners keep us fully informed about issues that affect our business.

9.
Our trading partners share business knowledge of core business processes with us.
10. Information exchange between our trading partners and us is timely.
11. Information exchange between our trading partners and us is accurate.
12. Information exchange between our trading partners and us is complete.
13. Information exchange between our trading partners and us is reliable. We offer products that are highly reliable.

3.
We offer products that are very durable.

4.
We offer high quality products to our customer.

5.
We are first in the market in introducing new products.
We have time-to-market lower than industry average.

7.
We have fast product development.
Manufacture broad product mix within same facilities.
10. Ability to rapidly modify methods for materials.
11. Ability to rapidly modify methods for components.

Principal Component Analysis & Scale Reliability
Content validity was examined by explorative factor analysis, as recommended in previous studies (e.g., [69]). Principal component analysis (PCA) was conducted to identify latent factors within all constructs. Preceding PCA, the Bartlett sphericity testing on the degree of correlation between the variables (p < 0.001) and the Kaiser-Meyer-Olkin (KMO) index verified the appropriateness of the sample. Examining SCM practices scale and adopting Kaizer criterion, two factors were extracted from the data. These components accounted for over 59% of the total variation. Performing normalized varimax rotation to produce a simple and interpretable structure, and using a cut-off of 0.50 for item selection, two distinct principal components emerged, and they were labeled as (a) partners' information quality and sharing and (b) strategic suppliers' partnerships. In a similar way, three principal components were extracted from the competitive advantage performance scale (Kaizer criterion), which accounted for over 73% of the total variation, labeled as (a) quality, (b) process flexibility, and (c) time to market. Similarly, two principal components were extracted from the business performance scale (Kaizer criterion, Scree plot), which accounted for over 68% of the total variation, labeled as (a) profitability and (b) market performance.
Statistics for the Bartlett sphericity test on the degree of correlation between the variables were significant for all components (p < 0.001) and the Kaiser-Meyer-Olkin (KMO) indices calculated for the appropriateness of the sample for the analyses were above the recommended threshold of 0.6 [70].
Internal consistency or reliability of all scales was assessed by Cronbach's alpha [71] and composite reliability [72] indices. More specifically, the values of 0.6 and 0.7 were proposed in the relevant literature as thresholds for Cronbach's alpha [73] and the composite reliability [74] coefficients, respectively. In this study, all developed components well exceeded the suggested limits, thus constructs' reliability was verified (see Table 4).

Fuzzy Cognitive Mapping Development
This section focuses on utilization of the gathered data through FCM to deploy a versatile diagnostic and exploratory model. This model will devote on the strong positive or negative correlations of the sample's data to form its essential veracity and credibility. FCM can be used to show the interactions among components in a simple and concise manner by displaying quantitative weights. By aggregating and expressing a direct impact among the entities involved, FCM is able to provide a macro perspective of the implemented business strategy.
At model's first phase, statistical analysis was deployed to ensure data normality and linearity. Next, tests of Cronbach's alpha [71] and Kaiser-Meyer-Olkin's [75] (see Table 4) as well as linear regression modeling were performed. At stage two, the regression analysis, we highlighted the importance of relationships among supply chain partners and suppliers with respect to quality, time to market, and product flexibility. In accordance, their later relationship with business' profitability and market performance was substantially noted. The aim of the above FCM was to obtain additional valuable knowledge, available for businesses to analyze. Through this analysis, insights concerning factors impacting on organizational performance could be extracted. Performance consists of two dimensions, organizational and environmental, both significant for our analysis.
In respect to the above, FCM was deployed, which consisted of the correlations of the chosen variables (Relationships, SSP, BPMA, BPPR, PIQS, organizational performance, CATM, CAQ, and CAPF). FCM model development aims to depict a macro-level analysis, based on involving variables' cause-and-effect relationships in a holistic approach for better model assessment. FCM presents the strong positive correlations of the variables with blue arrows, illustrating a stochastic and descriptive ranking system. For FCM deployment, a mental modeler cloud-based application was used. For the purpose of agents' relationships presentation, FCM was drafted (Figure 2). FCM modeling was recently adopted for assessing socioeconomical consequences from environmental events, proving to be useful [76]. In our model, we can identify the business relationship factors affecting their profitability and market share, which verified FCM necessity as a tool for business macro-level situation depiction.
blue arrows, illustrating a stochastic and descriptive ranking system. For FCM deployment, a mental modeler cloud-based application was used. For the purpose of agents' relationships presentation, FCM was drafted (Figure 2). FCM modeling was recently adopted for assessing socioeconomical consequences from environmental events, proving to be useful [76]. In our model, we can identify the business relationship factors affecting their profitability and market share, which verified FCM necessity as a tool for business macro-level situation depiction. The correlation coefficients among the variables under investigation are presented in Table 5. Those variables were formed via FCM, and the linkages that emerged represent the components that we aimed to investigate in terms of their cause-and-effect relationship. We chose to calculate the impact of supply chain partners and suppliers on corporate profitability and market share. FCM depicted the wholeness of the examined system, but it made the purpose of simulation and prediction modeling difficult if used alone. Keeping this in mind, combined with the need to appropriately answer the Research Hypotheses set in the previous section, we resorted to ABM. The correlation coefficients among the variables under investigation are presented in Table 5. Those variables were formed via FCM, and the linkages that emerged represent the components that we aimed to investigate in terms of their cause-and-effect relationship. We chose to calculate the impact of supply chain partners and suppliers on corporate profitability and market share. FCM depicted the wholeness of the examined system, but it made the purpose of simulation and prediction modeling difficult if used alone. Keeping this in mind, combined with the need to appropriately answer the Research Hypotheses set in the previous section, we resorted to ABM.

Agent-Based Model Development
Moving on from the FCM, in order to have an overall view of the business situation, micro-level analysis needed to be deployed. ABM can represent selected factors' dynamic variations and effects, leading to more efficient models in terms of simulation and prediction [77]. Those agents follow a specified norm, shaped by the chosen applied attributes and interact through well-known operators (if, and, etc.). We focused on estimating the effect of specific types of relationships, from business' outer environment to their organizational performance, in a 180-day simulation experiment. Agent-based models consist of groups of agents portraying the arranged system that interact with the help of chosen operators. ABM has played a crucial role to ease decision making processes through micro-level process [78], capitalizing on multiple domains' knowledge and providing holistic and heuristic approaches. ABMs provide the benefit of proposing the best solutions and decisions for fraction of real-world problems due to their micro-level modeling property [79].
Apart from the above, ABM analysis renders business executives more benefits regarding decision making process. Some of these benefits include better exploitation of relationships with specific parts of business' environment, opening a way for multiple gains. Moreover, while keeping costs at low level, business' strategists can obtain insights over relationships simulation modeling, as well as obtaining a more streamlined and credible predictive model through ABM. Thus, precise planning of their relationships combined with high levels of quality, time spent in market, and process flexibility can provide enhanced profits and share in market.
In this respect, we confined our performance topics to one, the organizational, due to its research proximity and relation to supply chain and retail sectors' features. Based on the plethora of organizational variables, we focused on two, businesses' profitability and market share. Those two factors are the most appealing for our research methodology, by means of importance to survival and growth of supply chain businesses. Consequently, in order to provide a comparative assessment for intertemporal prediction modeling, the analysis of firms' profitability and share in operating markets was critical, if not crucial.
Results collected from the statistical and correlation analysis were necessary input for agent-based simulation and prediction modeling. Those inputs refer to correlations and coefficients from the correlation and regression analysis preceded, concerning the variables relationships, SSP, BPMA, BPPR, PIQS, organizational performance, CATM, CAQ, and CAPF. They helped recognize and understand important, to the model, variables' relationships. In accordance with Davis et al. [79], we deployed a model, with usage of quantitative data, measured with a one-time snapshot process, to comply with chosen date range. In the matter of agents' movement, we applied the individual statistics to every agent and utilized the uniform probability distribution. The reason behind using the uniform probability function is that we ensured equal likelihoods of all possible outcomes, whose number may be finite or not, and their value was measurable [80]. In Figure 3, we have a clear view of paper's agent-based model, thus aiming to provide practical insights over the possible effects of a firm's good relationships with specific groups (e.g., suppliers) to their profitability and market position.
Our model appears to begin from partners supply chain and suppliers statecharts. by reaching the second statechart of relationships, the model arrives at a critical point. Next to the statecharts, land three checkboxes, where desirable levels of quality, product flexibility, and time to market can be adjusted. In order for the model to proceed to the next statechart of organizational performance, quality, product flexibility, and time to market, it has to exceed a specified percentage of performance (e.g., in our simulation we set a target of 70% of strong performance in quality, product flexibility, and time to market, with their variation provoked by a uniform probability distribution). Successful levels of quality, product flexibility and time to market that outflanked the barrier of exceptional performance reached profitability and market share statecharts, shaping their final values. Those are the metrics that are mostly involved in our research, thus generating the intended outcomes, the agent time-stack chart ( Figure 4) and time-graph chart ( Figure 5).
In Figure 6, we see the dispersion of 1000 agents in a period of 180 observation days. It involved business' relationships simulation as well as their relationships with supply chain partners and suppliers in which was our main focus. In a simulation with 1000 possible levels of relationships (for SC Partners and suppliers), we see the amount of feasible efficient relationships (blue and purple color). Furthermore, we can distinguish from those operant relationships the potential rise in profitability (red color) and market share (green color). Thus, we observe the diaspora of potential efficient relationships between organizations and SC partners and suppliers that led to boosted profitability and market share. the uniform probability function is that we ensured equal likelihoods of all possible outcomes, whose number may be finite or not, and their value was measurable [80]. In Figure  3, we have a clear view of paper's agent-based model, thus aiming to provide practical insights over the possible effects of a firm's good relationships with specific groups (e.g., suppliers) to their profitability and market position. Our model appears to begin from partners supply chain and suppliers statecharts. by reaching the second statechart of relationships, the model arrives at a critical point. Next to the statecharts, land three checkboxes, where desirable levels of quality, product flexibility, and time to market can be adjusted. In order for the model to proceed to the next statechart of organizational performance, quality, product flexibility, and time to market, it has to exceed a specified percentage of performance (e.g., in our simulation we set a target of 70% of strong performance in quality, product flexibility, and time to market, with their variation provoked by a uniform probability distribution). Successful levels of quality, product flexibility and time to market that outflanked the barrier of exceptional performance reached profitability and market share statecharts, shaping their final values. Those are the metrics that are mostly involved in our research, thus generating the intended outcomes, the agent time-stack chart ( Figure 4) and time-graph chart ( Figure 5).    . Depiction of businesses' profitability and market share trajectory following hypothetical continuous strengthening of its relationships with supply chain partners (left) and suppliers (right). This can be seen from the span above horizontal axis of profitability and market share. Figure 5. Presentation of increased profitability and market share results, with continuous growing business relationships with supply chain partners and suppliers. Graphs on the left side refer to enhanced SC partners' relationship effect to business profitability and market share, whereas the right presents suppliers relationship effect.
In Figure 6, we see the dispersion of 1000 agents in a period of 180 observation days. It involved business' relationships simulation as well as their relationships with supply chain partners and suppliers in which was our main focus. In a simulation with 1000 possible levels of relationships (for SC Partners and suppliers), we see the amount of feasible efficient relationships (blue and purple color). Furthermore, we can distinguish from those operant relationships the potential rise in profitability (red color) and market share (green color). Thus, we observe the diaspora of potential efficient relationships between organizations and SC partners and suppliers that led to boosted profitability and market share. Figure 5. Presentation of increased profitability and market share results, with continuous growing business relationships with supply chain partners and suppliers. Graphs on the left side refer to enhanced SC partners' relationship effect to business profitability and market share, whereas the right presents suppliers relationship effect. ability 2021, 13, x FOR PEER REVIEW 16 of 21 Figure 6. Population allocation in experiment with 1000 agents. Gray color represents business' overall relationships with its outer environment, blue and purple represent the analogy of relationships with supply chain partners and suppliers respectively, with red color representing the rise in its profitability and green in market share.
The horizontal axis in Figure 4 shows the 180 days of the simulation, while on the vertical axis we obtained the performance of business' profitability and market share. Efficient relationships with supply chain partners and suppliers enhanced business' profitability and market share. By efficient relationships, we focused on fruitful and yielding partnerships with strategic suppliers and information quality and sharing of supply chain partners. Throughout the paper's relative literature, the importance of firms' relationships Figure 6. Population allocation in experiment with 1000 agents. Gray color represents business' overall relationships with its outer environment, blue and purple represent the analogy of relationships with supply chain partners and suppliers respectively, with red color representing the rise in its profitability and green in market share.
The horizontal axis in Figure 4 shows the 180 days of the simulation, while on the vertical axis we obtained the performance of business' profitability and market share. Efficient relationships with supply chain partners and suppliers enhanced business' profitability and market share. By efficient relationships, we focused on fruitful and yielding partnerships with strategic suppliers and information quality and sharing of supply chain partners. Throughout the paper's relative literature, the importance of firms' relationships with their SC partners and suppliers was characterized as crucial. The results of this paper led to the same outcome that highlights the benefit in business profitability and market share through empowered relationships with SC partners and suppliers.
In Figure 6, we discern that the amount profit and market share of businesses are affected by strong relationships with SC partners and suppliers. In accordance with the literature, firms' profitability and share in the market are positively impacted by good relationships with suppliers and SC partners. From the graphs above, a significant rise in the profitability and market share occurred when businesses developed their partnership with suppliers and supply chain partners. Thus, those groups had the ability to promote the status of a firm through advantageous relationship handling. In the 180 observation days, both profitability and market share experience substantially rose in their levels, causing potential refinement in business finances.
Businesses should aim on developing strong and close relationships with their supply chain partners and suppliers, since doing so could lead to big organizational gains. The purpose of this paper's analysis has been the development of a simulation and predictive model for estimation of business profitability and market share, based on their relationships with SC partners and suppliers. Those effects are obvious in Figure 5, where implementation of potential strong (positive) relationships with SC partners (left graph) and suppliers (right graph) had an increasing (positive) result in business profitability and market share (above vertical axis of value). Thereon, comparing the results from the relationships' simulation, we see that supply chain partners' led to faster and higher levels of profitability and market share, rendering businesses' strong relationships with supply chain partners indispensable for a successful route.

Discussion & Conclusions
One of a business' main goals is the achievement of sustainable competitive advantages over its rivals. Domains of business environments, internal and external, can possibly be optimized to that purpose. The aim of our research was to investigate the impact of specific SCM practices formulating partners' relationship quality, in order to enhance business market positions. For competitive advantage to be achieved, businesses need to achieve high quality, flexibility, and rapid introduction of new products in specific markets. Thus, before examining firms' relationships and their impact on business' profitability and market share, high levels of quality, flexibility, and new product development time should be set. This can lead to better acknowledgement of organizations' competitive performance.
According to this paper's research hypotheses, from the agent-based analysis preceded, we clearly see that both partners' information sharing quality and strategic suppliers' partnership are highly connected with firm profitability and market share. This can only take place when an organization operates with high standards of competitive advantage, in terms of quality, flexibility and time to market. In Figures 4 and 5, the above reflection is visible. Moreover, in Figure 5, by comparing both categories of partnership, the effect of partners' information and quality sharing can lead to slightly higher performance in profitability and market share, in a shorter amount of time. Thus, all four research hypotheses are verified since partners' information and quality sharing and strategic suppliers' partnership have positive impacts on firms' profitability and market share. The above occasion occurs when high standards of competitive advantage are met.
Moving in this respect, we found that strong relationships with key supply chain partners and suppliers can produce significant benefits for an organization. By significant benefits, we mean higher profitability and share in business' market. Main findings of our paper, originated from the ABM, agree with McMurrian & Matulich [81], who highlighted business' financial consequences due to unpleasant relationships with their partners, such as profitability abatement. Even more, our proposed agent-based model's results are consistent with Kanagal [82] and Miquel-Romero et al. [83], concerning profitability and market share benefits for businesses with good partners' relationships. Apropos of supply chain businesses' relationships with suppliers, our agent-based model complies with Mitrega et al. [84] findings. Mitrega et al. [84] emphasized the importance of strong relationship building between supply chain firms and suppliers, which is crucial for their prosperity and should therefore be measured regularly.
However, this study has potential limitations which may restrain generalizations of our findings. For example, our research encompassed specific supply chain practices and sources of competitive advantage in a sample of agri-food firms in Greece. Conversely, other contingent factors contributing to business performance may enrich the conceptual framework of future studies in different national contexts.
Funding: This research received no external funding.

Institutional Review Board Statement:
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the Agricultural University of Athens.
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.

Data Availability Statement:
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to restrictions as they are containing information that could compromise the privacy of research participants.

Conflicts of Interest:
The authors declare no conflict of interest.