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The purpose of this study is to examine variables and their relationships that hinder socially responsible behaviours in the supply chain of small- and medium-sized enterprises (SMEs) in the Gulf Cooperation Council (GCC). countries.

The study uses the mixed-method approach that includes the survey method and soft mathematical modelling. Empirical data were collected from 130 SMEs and their suppliers based in Qatar and Oman. Furthermore, to understand the barriers and their interrelationships, interpretive structural modelling approach is applied.

The results of empirical study reveal lack of coherence among SMEs and their suppliers in prioritising social responsibility issues in their supply chain. The hierarchy-based model reveals that shortages of incentive, short-term objectives, the lack of cooperation and willingness among supply chain partners, constraints (financial, managerial and technological) and the pressure from customers were the independent barriers and have strong driving power.

The findings of this study are expected to provide an insight to further improve and promote socially responsible supply chain in emerging economies in Gulf region. Future research could compare the socially responsible activities of SMEs from different Gulf countries and expand the understanding of the barriers that outline the responses of suppliers situated in different Gulf economies.

The results contribute to the field of supply chain sustainability as the first academic attempt to shed light on how SMEs in GCC are dealing with supply chain social responsibility issues and one of the few in the emerging economy perspective that probes the key role of barriers to improve the socially responsible behaviour of Gulf-based SMEs.

This study has two major objectives. First, comprehensively review the literature on transparency in supply chain management. Second, based on a critical analysis of literature, identify the attributes and sub-attributes of supply chain transparency and develop a numerical measure to quantify transparency in supply chains.

A systematic literature review (SLR) was conducted using the PRISMA approach. Utilizing SCOPUS database past eighteen-year papers search resulted in 249 papers to understand major developments in the domain of supply chain transparency. Subsequently, graph theoretic approach is applied to quantify transparency in supply chain and the proposed index is evaluated for case supply chains from pharma and dairy sectors.

It can be concluded from SLR that supply chain transparency research has evolved from merely tracking and tracing of the product towards sustainable development of the whole value chain. The research identifies four major attributes and their sub-attributes that influence transparency in supply chains, which are used to develop transparency index. The proposed index for two sectors helps to understand areas that need immediate attention to improve transparency in the case supply chains.

This paper attempts to understand the development of transparency research in supply chain using the PRISMA approach for SLR. In addition, development of mathematical model to quantify supply chain transparency is a novel attempt that would help benchmark best practices in the industry. Further, transparency index would help to understand specific areas that need attention to improve transparency in supply chains.

This study aims to identify and prioritize Green human resource management (GHRM) practices from the policymaker’s perspective in the United Arab Emirates (UAE)-based manufacturing and service sectors to facilitate sustainable environmental performance.

Drawing upon the ability–motivation–opportunity (AMO) and corporate environmentalism theory, this study uses the analytic hierarchy process (AHP), a multi-criteria decision-making model, to rank the most influential enablers of GHRM practices. Data were collected from 24 C-suite executives of UAE-based manufacturing and service units.

Top management orientation for Green, Green organizational culture and Green corporate strategic planning were the most critical enablers that promote GHRM practices in the UAE’s manufacturing and service firms. Past research has mostly overlooked the strategic variables and focused only on organizational level antecedents based on HR bundles of practices.

Data were collected only from UAE firms, hence limiting its generalizability. The study shall help organizations operating in emerging countries adopt the best GHRM practices toward Green goal agendas.

This research provides an AHP framework that can be used to conceptualize and prioritize GHRM practices, which aids in a firm’s Green decision-making and transition toward sustainable Green growth. This study furthers understanding of GHRM practices play out at the various levels-of-analysis within organizations to present a comprehensive paucity of integrative and multi-level studies over recent years. The study may be relevant for other organizations in other national contexts with similar governance homogeneity.

Typically, adoption of sustainability in organizations are often done in an unstructured way without the consideration of other partners in the supply chain. The purpose of this paper is to suggest a coherent plan to improve sustainability in the supply chains utilizing ISO standards for environment and social responsibility.

This paper draws on literature on ISO14000 and ISO26000 to derive a set of variables applicable to supply chains, which are then prioritized for real organizations utilizing analytic hierarchy process.

The findings highlight that not all the variables of environmental, social and economic responsibility are equally important. Besides, the work reported in this paper justifies the application of multi-criteria decision-making (AHP) to prioritize elements of sustainability in context supply chains. The suggested method is illustrated using inputs from large manufacturing companies in Qatar.

ISO14000 and ISO26000 are well known standards; however, there was no effort to integrate these standards to improve sustainability in supply chains. The suggested methodology provides invaluable help to the managers to implement sustainability in a coherent manner across the supply chain.

The research contributes to the extant literature by proposing a new methodology based on the integration of three-approaches: Analytic Hierarchy Process, ISO14000 and ISO26000 systems.

The purpose of this paper is twofold: first, to understand Emirati nationals’ perceptions of the role of workforce localisation policies in their professional aspirations and growth and, second, to determine the role of higher education and job attributes in the achievement of their goals. The study uses a hierarchy-based model/road map to improve localisation efforts by attempting to aid understanding of the relationships and barriers hindering these processes.

The study follows a two-stage process. In the first stage, a questionnaire-based survey was administered to 207 Emirati postgraduate students from public and private universities based in two major Emirates: Abu Dhabi and Dubai. The sample data were analysed by basic descriptive statistics in the form of cross-relationships and rank correlation tests. In the second stage, an interpretive structural modelling approach was used to develop a hierarchy-based structural model of the barriers to localisation.

Emiratis younger than 30 years old consider localisation as an enabling factor in their professional success in contrast to those older than 30 years old. The results also indicate that working female Emiratis have significantly more positive attitudes regarding the contribution of localisation towards their professional success than that of their male counterparts. However, both genders see a mismatch in efforts being made to better equip themselves for the workplace. The hierarchy-based model delineates variables that could contribute to making localisation a successful employment programme in the United Arab Emirates (UAE).

The findings of this study relate to the UAE. However, there are similar localisation programmes that have been implemented in other Gulf Cooperation Council states. Hence, while the results of this study are relevant to the UAE, they may not be generalisable to the entire Gulf region.

It is proposed that the research findings and the structural model of relationships may help policy makers develop suitable strategies to strengthen the Emirati localisation programme.

This study makes a contribution to the literature and can serve as a guide to policy makers for localisation programmes. This is achieved by analysing the attitude of UAE nationals studying at higher education institutions. Furthermore, the study presents a hierarchy-based model of the barriers to localisation that explains the root causes of the problem.

Despite various governmental efforts, female entrepreneurship in the UAE is still not a popular option among women. The purpose of this study is to identify the enablers to female entrepreneurship and to establish relationships among them.

This research uses a two-phased approach. In the first-phase, an empirical study on female entrepreneurs was conducted to find out the most important enablers from among a set of variables identified through a comprehensive literature review. In the second-phase, using interpretive structural modeling, a hierarchy-based model is developed among the most important enablers. Further, these enablers are also classified depending on their driving power and dependence.

Survey results indicate that female entrepreneurs consider enablers as the driving force in creating an entrepreneurial culture. Further, the hierarchy-based model developed in this research helps to identify variables that are of strategic importance and require utmost attention.

The framework presented in this study can be used effectively by the policymakers to develop suitable strategies for improving entrepreneurial behavior among women in the United Arab Emirates.

The novelty of this approach is the integration of questionnaire and interpretive structural modeling methodology and classifying enablers in four clusters. The research provides useful insights about the perception of female entrepreneurs about the entrepreneurial culture in the United Arab Emirates, and a relationship model that may serve as a decision tool for improving female entrepreneurship.

The purpose of this paper is to integrate the “triple bottom line (3BL)” approach in the supplier selection decision. It also aims to consider the feedback effect of the decision on strategic factors that determine the future viability of the firm in the market.

A multi-criteria decision model is developed that considers simultaneously the impact of three dimensions of 3BL approach and their sub-dimensions on the supplier selection decision. The proposed model is evaluated for a large white goods manufacturer using the analytic network process (ANP) approach.

The ANP considers the impact of variables, sub-variables, and their interdependencies simultaneously. The outcome of the model is the relative priorities for the firms considered as potential suppliers.

This research was conducted in one of the largest developing economies. The impact of integrating sustainability would be widespread due to the huge market in which the company operates. The results of this research can provide support to the decision makers in arriving at an optimal decision considering all sustainability dimensions.

The novelty of the approach lies in the application of multi-criteria model integrating sustainability dimensions with a feedback effect for supplier selection. The case company would benefit by showing its commitment toward environment and social responsibility leading to improved brand image and sustainable business.

U-commerce is an emerging paradigm transcending traditional e-commerce boundaries. The purpose of this paper is to highlight those issues that deserve attention in developing successful u-commerce models.

The interpretive structural model technique is adopted to construct a hierarchical structure, and the impact matrix cross-reference multiplication applied to a classification (MIC-MAC) approach is employed to analyze the effect and dependence among these factors.

The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions.

Organizations that plans to develop a u-commerce model would be benefited from this study. They can understand the difference between the independent and dependent variables and their mutual relationships. This would help them to prioritize their budget and implement suitable strategies to cater to key variables so as to exploit the benefits of u-commerce.

Most of the GCC countries have very similar business environment. This research can easily be adapted to other GCC nations thereby saving the duplication of time, efforts and money.

This research was conducted in a developing economy in a GCC country which is very fast adopter of new technology. The findings of this study would serve as a guide to the businesses who are migrating to a u-commerce model in future.

The purpose of this paper is to provide insight into the factors that influence the mindset of youth in the United Arab Emirates (UAE) in choosing entrepreneurship as their future employment. It also suggests the pathway to improve the role of the universities as strategic drivers in inducing an entrepreneurial mindset.

An exhaustive literature review of extant research followed by an exploratory study was conducted. Furthermore, to understand factors influencing the role of universities, interpretive structural modelling methodology is applied to evolve a hierarchy-based relationship among the strategic factors.

The results of empirical research suggest that young people in the UAE rank entrepreneurship as their first employment choice. However, most of them have not attended any formal entrepreneurship-related course in school or in college. The study also suggests that individual and environmental factors influence the entrepreneurial mindset of both males and females in the UAE. The structural model developed in the study indicates that to give an impetus to the entrepreneurial mindset, the government must create a supporting environment with UAE universities playing the role of a catalyst.

Professional entrepreneurship instruction is seen as a strategic tool to stimulate financial and societal growth. The results could provide insights for both entrepreneurship educators and policymakers and will boost their commitment to promote the entrepreneurial mindset within UAE society by enhancing and developing traits associated with entrepreneurial success. The results support recognition of the factors that induce educational programmes and economic incentives targeted at the development of sustainable entrepreneurial culture and ventures in the UAE.

The study is an effort to highlight the role of higher education in envisaging and cultivating entrepreneurs in a fast-growing developing country through a survey and a hierarchy-based model.

The major purpose of this study is to investigate the role of Industry 4.0 in circular supply chain management (CSCM). The study also identifies variables that positively influence circular performance of a supply chain and examines the relationships among them.

This research uses a novel mixed-method exploratory methodology with sequential design. To understand the relationships among the enablers and the role of Industry 4.0 in circular performance of supply chain, a qualitative method (interpretive structural modeling) was utilized. Following the qualitative phase, a questionnaire based quantitative study was conducted and the hypothesized mediating relationships were evaluated through smart-PLS structural equation modeling tool.

The findings of interpretive structural modeling (ISM) model revealed the hierarchical relationships among the enablers of circular supply chain management based on their relative importance. The variables were clustered in three groups of driver, dependent and linkage variables. The results of the structural model indicated that Industry 4.0 play a mediating role between the driver and dependent variables that influence circular performance in a supply chain.

The research offers practical insights for supply chains moving in the direction of zero waste by highlighting the important variables that require actions from different stakeholders. The research also reveals the importance of integrating Industry 4.0 technologies in restorative and regenerative cycles of circular supply chain.

The originality of the research stems from the scarcity of research on circular supply chain management. The authors argue about the critical role that Industry 4.0 can play in achieving circularity in supply chains.