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The study examined the influence of small and medium enterprise (SME) owner-managers' managerial competencies on supply chain performance, the mediation role of information quality on the SME owner-managers' managerial competencies and supply chain performance relationship, the mediating role of information quality on the information sharing and supply chain performance relationship and the mediating role of both information sharing and information quality on SME owner-managers' managerial competences and supply chain performance relationship.

Data were collected from SME agro-processing firms. The determined sample size for the agro-processing firms was 200, while an effective sample size of 177 was obtained. The Covariance Structural Equation Modelling software was used to obtain results on the influence of SME owner-managers' managerial competencies on supply chain performance, the mediation role of information quality on the SME owner-managers' managerial competencies and supply chain performance relationship, the mediating role of information quality on the information sharing and supply chain performance relationship and the mediating role of both information sharing and information quality on SME owner-managers' managerial competences and supply chain performance relationship.

Findings indicated that a positive significant influence of SME owner-managers' managerial competencies on supply chain performance and the presence of partial mediation effects when the mediating role of information quality in the SME owner-managers' managerial competencies and supply chain performance relationship and the information sharing and supply chain performance relationship is tested. Also, a partial mediating role of information sharing and information quality is obtained in the SME owner-managers' managerial competencies and supply chain performance relationship.

The study mainly focused on SME agro-processing firms eliminating other SME manufacturing firms. Also, the research employed a wholistic approach when studying the SME agro-processing firms without focusing on how SME owner-managers' managerial competencies would affect information sharing, information quality and supply chain performance based on the market type (local or foreign) and the source of raw materials (local or foreign) and the impact of information sharing on information quality hasn't been given significant attention in the existing literature.

The research focused on the mediation role of quality of information shared by SME owner-managers in the relationship between information sharing and supply chain performance, the mediating role of information quality in the SME owner-managers' managerial competencies and supply chain performance and the mediating role of both SME owner-manager's information sharing and quality of information shared in the relationship between SME owner-managers' managerial competences and supply chain performance. These mediation effects haven't been given significant attention in previous research. Further, while information sharing and information quality have been studied, they have been studied at a supply chain level, not at a managerial level.

The purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities and sustainable supply chain performance. BDAC is represented through two dimensions of big data technological capabilities (BDTC) and big data personal capabilities (BDPC). Moreover, the relationships between BDTC and BDPC with sustainable supply chain performance through the mediation effect of supply chain innovation capabilities are examined.

The study used a quantitative research approach. A survey of 400 Jordanian manufacturing companies was carried out to conduct this research. However, the responses of 207 managers were valid to be used in the analysis. In this study, the SmartPLS software was used to perform structural equation modeling using a partial least squares approach (PLS-SEM) and to examine the measurement and structural model's validity and reliability.

According to the results of this study, BDPC has a significant positive impact on supply chain innovation capabilities. Furthermore, the findings indicate that supply chain innovation capabilities are the most influential predictor of sustainable supply chain performance and act as a positive significant mediator in the relationship between BDPC and firm sustainable performance. Surprisingly, the study found that BDTC had no significant effect on supply chain innovation capabilities. Besides that, no significant relationship exists between BDTC and firm sustainable performance via the mediation effect of supply chain innovation capabilities.

This study provides an integrated research model that incorporates BDAC, supply chain innovation capabilities, and sustainable supply chain performance in order to analyze supply chain innovation and sustainable supply chain performance. This suggests that the scope of the study is broader in terms of predicting sustainable supply chain performance. As a result, the study intends to fill a gap in the literature by explaining how BDAC affects supply chain innovation capabilities and firms sustainable performance. In addition, the role of supply chain innovation capabilities as a mediator between BDAC and sustainable supply chain performance is investigated.

This study investigates the impact of big data analytics capabilities on green supply chain performance. Moreover, it assesses the mediating effect of the green innovation and moderating effect of technological intensity.

This study is based on primary data that were collected from the food and beverages manufacturing sector operating in Jordan. A total of 420 samples were used for the final data analysis. Data analysis was performed via structural equation modeling (SEM) using SmartPLS 3.3.9.

The results of the data analysis supported a positive relationship between big data analytics capabilities and the green supply chain performance as well as a mediating effect of green innovation. It was confirmed that technological intensity moderated the relationship of green innovation on green supply chain performance.

The study faced many limitations such as the method of collecting primary data, which relied on a questionnaire only and the use of cross-sectional data, as well as studying one context and in one country.

The findings can guide managers and policymakers in the Jordanian food and beverage manufacturing sector on how to manage organizational capabilities related to big data analytics to enhance green supply chain performance and improve green innovation in these firms.

This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, green innovation, technological intensity and green supply chain performance. This study offers new theoretical and managerial contributions that add value to the supply chain management and innovation literature by testing the moderated mediation model of these constructs in the food and beverages manufacturing sector in Jordan.

Cultural intelligence (CQ) has transcended its role of adaptation to local values toward narrowing the cultural gap between foreign stakeholders and local stakeholders in the supply chain. The purpose of this paper is to decipher the catalyzing role of CQ in its chain effect, through corporate social responsibility and trust, to supply chain performance and competitive intelligence (CI).

The proof for the research model was derived from the SEM-based analysis of cross-sectional data provided by 392 respondents from MNCs in Vietnamese business landscape.

Findings, from this inquiry, produce the evidence for the positive effect of all four dimensions of CQ (metacognitive, cognitive, motivational, and behavioral CQ) on ethical and legal CSR, as well as knowledge-based and identity-based trust, which leverage supply chain performance. The connectivity between supply chain performance and CI was also established.

Supply chain literature, from this research model, has increased its breadth with the novel role of CQ and stakeholder-oriented levers such as CSR in heightening supply chain performance.

Exploring ways to acquire, sustain and improve competitive positions in supply chains through information sharing, supply chain visibility, collaboration and agility have been essential for scholars and practitioners. Basing on the relational view, resource based view and the extended resource based view, this study assesses the critical role of information sharing in supply chains through emphasizing its effect on supply chain visibility, collaboration, agility and supply chain performance. Particularly, the study proposes that information sharing, supply chain visibility, collaboration and agility collectively have crucial direct and indirect influences on supply chain performance which lead to superior gains, competitiveness and flexibility.

The study adopted a survey research design, a quantitative approach and partial least square structural equation modeling (PLS-SEM) in making data analysis and interpretations due to its suitability for predictive research models.

The results indicate information sharing positively and significantly influenced supply chain visibility, collaboration, agility and performance. Supply chain visibility presented significant effects on collaboration, agility and performance, while supply chain collaboration and agility had significant impact on supply chain performance. The study findings connote that information sharing is key to enhancing competitive gains and superior supply chain performance.

The study is among the few to probe on how information sharing as a variable interacts with supply chain visibility, collaboration, agility and performance. Although, information sharing has received a lot of attention in supply chains, this study is among the first to capture the study variables in a single model and thus, exposes the vital need for information sharing in improving supply chain performance seeing that it ensured significant and robust impacts on the study variables.

This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.

A fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.

The design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.

The managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.

This paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.

The aim of this study is to empirically test the relationship between supply chain performance and organizational performance mediated by customer satisfaction.

Respondents of this study include all the supply chain stakeholders, managers working in the dairy industry, bulk milk chillers/coolers (BMCs), farmer producers, wholesalers, transporters, retailers and consumers. The final sample has 67 firms and their forward and backward linkages, taking the total sample size to 1,139. Mediation analysis was performed using SPSS AMOS v26 to analyze the impact of supply chain performance on organizational performance mediated by customer satisfaction.

The findings of this study reveal that supply chain performance positively impacts organizational performance, and customer satisfaction partially mediates the relationship between them.

This study provides an opportunity for future researchers to test this model in different locations and different industries, incorporating other mediating variables, such as risk, coordination, supply chain orientation etc., as antecedents and operational, economic and marketing performance as consequences.

The study suggests that enhanced organizational performance requires supply chain management to be treated as a strategic function. Managers working at the processing/manufacturing level must focus on improving supply chain performance indicators through collaboration with supply chain stakeholders.

The present study adds to the existing literature by adopting a new supply chain performance measurement approach. The current literature has focused primarily on supply chain practices to study their impact on customer satisfaction and organizational performance. In contrast, the present study demonstrates how improvement in supply chain performance can enhance organizational performance through customer satisfaction.

A major part of economic globalization has taken place in the form of different globalization strategies. Offshoring and outsourcing of manufacturing activities from Western locations to Eastern Europe and the Far East are used to remain competitive. Such strategies have implications for supply chain performance. The purpose of this paper is to explore whether supply chain performance is affected differently depending on the choice of globalization strategy.

The paper is based on in‐depth literature reviews and explorative case studies – two offshoring and two outsourcing projects. A model explaining the choice of localization and globalization strategy (the OLI model) is applied as a basic framework. Data have been collected through in‐depth interviews with persons responsible for the offshoring and outsourcing projects.

The paper addresses different practices of managing supply chain performance in offshoring and outsourcing strategies. The OLI model provides an increased consciousness of the managerial challenges related to supply chain performance based on the chosen globalization strategy.

The paper is explorative in nature and is based on four case studies. The paper provides no basis for statistical generalizations.

The supply chain performance is affected both positively and negatively in each type of globalization strategy. The OLI model provides an extended understanding of the factors that should be considered in decision processes concerning offshoring and outsourcing.

In this paper, the OLI model is integrated in a new understanding of supply chain performance.

This paper aims to examine the relationship of supply chain disruption risk drivers to supply chain performance and firm performance outcomes.

Four disruption risk drivers for a supply chain are identified, namely, demand disruption risk, supply disruption risk, process disruption risk and environment disruption risk. A cross-sectional survey was developed and data was collected from 315 Chinese firms to determine the relationship of supply chain disruption risks to supply chain performance and firm performance.

The empirical findings show that supply disruption risks and process disruption risks have a significant impact on supply chain performance. In addition, this paper shows that supply disruptions, demand disruptions and process disruptions are significantly related to firm performance. This paper shows that supply chain disruption risks have different effects on supply chain performance and firm performance. Managers should be aware that disruption risk drivers can have an impact on firm performance that is different from their impact on supply chain performance. An important finding of the study is that the magnitude of the impact of disruption risks on supply chain performance is greater on the upstream side of the supply chain than on the downstream side of the supply chain.

This is one of the early studies to examine the effect of supply chain disruption risk drivers on both firm performance and supply chain performance. An important finding of the study is that the magnitude of the impact of disruption risks on supply chain performance is greater on the upstream side of the supply chain than on the downstream side of the supply chain.

This paper aims to present a supply chain performance assessment tool that measures the performance of key supply chain activities of a firm under different performance dimensions.

The tool was developed based on an extensive literature review. The nine key internal supply chain activities, as proposed by Grant et al. in 2006, constituted the backbone of the assessment framework, while performance was measured based on three dimensions: cost, time, and reliability. The tool was pilot‐tested on 44 local SMEs. The results were then compared with existing performance benchmark as well as within the benchmarked group itself and a high performing Thai multinational in order to see whether the developed tool could identify performance gaps in the trial group.

The results obtained from the tool provide a description of a firm's internal supply chain activity. The utilised supply chain performance framework can isolate each individual supply chain activity. The results are therefore precise enough for firms to identify individual areas of strengths and weaknesses. The tool is relatively simple and easy to use and understand.

Limitation is related to the availability of the required assessment data. The availability of data is a reflection of systematic data collection and storage procedures of the respondent firms.

The tool was developed on clearly defined theoretical foundations. The three dimensions of cost, time and reliability can balance both financial and non‐financial characteristics of supply chain performance. The data required are simple and objective.