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The invention and use of mobile commerce (m-commerce) technology have progressed in recent years. In small to medium-sized enterprises (SMEs), the decision to implement business-to-business m-commerce is a multiple-criteria decision analysis problem that involves both qualitative and quantitative factors, and its evaluation may be based on imprecise information or uncertain data. Furthermore, there may be significant dependences or important feedback among different levels of criteria or alternatives. However, most conventional decision models cannot capture these complex interrelationships. The purpose of this paper is to adopt a new hybrid multiple attribute decision model (MADM) model to evaluate the implementation of business-to-business m-commerce by SMEs in Taiwan to enhance the thinking of management and improve decision gaps.

In this study, the authors present the use of a new hybrid MADM combined with a decision-making trial and evaluation laboratory (DEMATEL) method to construct an influential network relationship map (INRM) and find the influential weights of DANP (DEMATEL-based ANP) in criteria from the influential relationship matrix, and the modified VIKOR method using influential weights to evaluate and integrate the criteria performance in the gaps and to analyze how to reduce the gaps to evaluate the decision to implement business-to-business m-commerce by SMEs based on INRM.

The findings of using the new hybrid MADM model can efficiently and successfully be applied to the business-to-business m-commerce of SMEs to improve and reduce the performance gaps among each criterion/aspect when setting improvement strategies for achieving an aspiration level based on INRM.

This study achieves the following: successfully building a decision network (called an influential network relation map (INRM)) of the technological advances and implementations of business-to-business m-commerce for solving the inter-dependence and feedback of criteria/aspects in the real world problem; how changing effective solutions from existing performance of situations/alternatives into aspiration levels to fit the current competitive markets in the business-to-business m-commerce of SMEs; and efficiently shifting from ranking and selection when determining the most preferable approaches to performance improvement by modified VIKOR methods.

International collaboration is a crucial requirement of entrepreneurship, particularly in developing emerging economies. This collaboration seems so necessary in the food industry as a major contributor to environmental, social and economic problems. This paper aims to identify, analyse the influential network relationship and prioritise the key success factors (KSFs) of international collaboration formation in the entrepreneurial food industry with a case study on Iran's emerging economy.

To identify a list of KSFs, a qualitative method, literature review, is initially used. A quantitative method, fuzzy-Delphi, then is employed to finalise the main KSFs based on the entrepreneurial food industry experts' opinion. To analyse the causal relationship, and prioritise the KSFs, a fuzzy decision-making trial and evaluation laboratory (DEMATEL)-analytic network process (ANP) methodology, i.e. FDANP, is applied. At the first stage, the cause–effect diagram of KSFs is extracted using fuzzy DEMATEL and then, the KSFs weights and priorities are evaluated using a fuzzy ANP.

The results illustrate that the characteristics of effective development workers are the leading dimension of a successful international collaboration that directly affects other dimensions. On the other hand, increased marketing and trading is the most important KSF that is directly related to international entrepreneurial collaboration team capabilities and professionalism. The leading and casual role of team members also plays a vital role in strategic and communication issues affecting the collaboration success, e.g. market research and new product development. Availability of financial resources and the ability of partners in continuous financing is also a crucial and required factor for a successful collaboration.

Using an extensive review of the literature to extract the KSFs of international entrepreneurial collaboration and finalising them using a fuzzy-Delphi method and examining the cause-effect relations between them, as well as prioritising the KSFs are the main contributions of this paper.

Companies are adopting innovative methods for responsiveness and efficiency in the public transport sector. The implementation of air-taxi services (ATS) in the transport sector is a move in this direction. Air taxis have a two-pronged advantage as they can reduce travel times by avoiding traffic congestion and have the potential to reduce carbon footprint compared to traditional modes of public transportation. Many companies worldwide are developing and testing ATS for practical applications. However, many factors may play a significant role in adopting ATS in the transport sector. This paper attempts to unearth such critical success factors (CSFs) and establish the interrelationships between these factors.

Fifteen CSFs were identified by systematically reviewing the literature and taking experts' input. An integrated multi-criteria decision-making (MCDM) technique, Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (DEMATEL-ANP [DANP]) was used to envisage the causal relationships between the identified CSF.

The results reveal that Govt Regulations (GOR), Skilled Workforce (SKF) and Conductive Research Environment (CRE) are the most influential factors that impact the adoption of ATS in the transport sector.

The research implications of these findings will help practitioners and policymakers effectively implement ATS in the public transportation sector.

This is the first kind of study that identifies and explores the different CSFs for ATS implementation in public transportation. The CSFs are evaluated with the help of a framework built with inputs from logistics experts. The study recognizes the CSFs for ATS implementation and provides a foundation for future research and smooth adoption of ATS.

E-fulfillment has a significant role to play within e-tailing, which provides products to a customer, comprising primarily of five components: website quality, customization strategy, distribution strategy, last mile delivery and return management. The purpose of this paper is to provide an e-fulfillment performance evaluation framework for an e-tailer, considering the different performance aspects of information systems (IS), marketing and operations for e-tailers.

Since quite a few performance aspects (i.e. IS, marketing system and operations) need to be factored in while evaluating the e-fulfillment performance, it may be considered as a complex multi-criteria decision-making problem. This study used decision-making trial and evaluation laboratory (DEMATEL) based analytic network process (DANP) to investigate the relationship between performance class and performance aspects, and calculated their weights. These designated weights of performance aspects help managers to find the important aspects needing improvement. The understanding of the interrelationship among the performance aspects enables managers to improve the efficiency of an e-tailing system.

This study provides the e-fulfillment performance evaluation framework to find the important aspects requiring improvement. The results of this study reveal that the important performance aspects of e-fulfillment performance are return policy, pickup method, innovativeness, assortment type, assortment width, trust (privacy and security) and promised delivery date.

This e-fulfillment performance evaluation could be used by an e-tailer to assess the e-fulfillment performance, and identify areas of improvement.

This study makes a contribution to the present body of knowledge by considering operations related performance aspects except the IS and marketing to evaluate the e-fulfillment performance.

The purpose of this paper is to explore key factors or criteria of sustainable supply chain management (SSCM) influencing Indonesian coal companies, using “adoption, implementation, and performance” (A-I-P) of SSCM, thru three means: first, to investigate which criteria have higher weight to achieve SSCM in Indonesia; second, to see whether there are any differences between the Indonesia case and existing literature of SSCM; third, to highlight any causal relationships between the Indonesia case and the SSCM theory.

DEMATEL-based analytic network process (DANP) questionnaire survey with a theoretical SSCM model is applied to conduct an empirical test for the coal production and supply chain companies in Indonesia.

The “performance” dimension out of the A-I-P of the SSCM is the most important one, while the “adoption” dimension is the least. Out of the 12 criteria under the three dimensions, the “operational, economic, environmental, and social” factors under the category of the performance dimension and the “ISO 14001 certification” criteria belonging to the dimension of “implementation” are the top five key factors in the SSCM.

There are some limitations in this study. First and foremost is the relatively small sample size with a limited geographic area, although they are unavoidable owing to one country case study.

The test results are helpful to draw guidance for sustainable supply chain managers in implementing efficient SSCM in the wave of tough competition and changing marketplace.

This study contributes first to developing a theoretical framework for SSCM under the A-I-P model and second, to applying DANP to an empirical case of SSCM of the coal industry in Indonesia. As a result, the authors draw helpful guidelines and policy implications for SSCM of the coal industry, referring to the A-I-P dimension as drivers and enablers for the SSCM performances of the industry.

This study aims to evaluate the role of social media (SM) tools in polio prevention in an Indian context by using a hybrid Delphi-decision-making trial and evaluation laboratory (DEMATEL) approach.

A preliminary list of suitable evaluation criteria was derived from an extensive literature review. Ten experts were then contacted to collect data and finalize the most prominent criteria by using the Delphi method. To establish cause-effect relationships among the criteria, further data were collected from 21 experts. The DEMATEL method was applied to process and interpret the data collected.

The analysis grouped criteria into two sets, i.e. cause and effect. The results show that awareness of social cause and government utilization of resources fall into the cause group; these elements are critical as both directly affect the remaining criteria. These outcomes can help government and businesses to utilize SM for public health surveillance, e.g. to promote schemes/initiatives through sites concerning polio or related health issues.

The findings of this research are useful for governments and individual companies to conceive their marketing initiatives akin to polio prevention issues by using SM.

Despite the emergence of SM, there has been little discussion in existing literature on their role in polio prevention; however, measuring such role could be useful in practice to help decision-makers in exploiting the potential of SM in the health-care context. To fill this gap, this study aims to measure the role of SM in polio prevention in the Indian context and to create a cause-effect evaluation model. Using an integrated Delphi-DEMATEL framework for decision-making in the health-care context is another novelty of this study.

Substantial pressure from civil society and investors has forced governments around the world to take climate neutrality initiatives. Several countries have pledged their nationally determined contributions towards net-zero. However, there exist various obstacles to achieving the same and the agriculture sector is one of them. Thus, this study identifies and models the critical barriers to achieving climate neutrality in the agriculture food supply chain (AFSC).

Sixteen barriers are identified through a literature survey and are validated by the questionnaire survey. Furthermore, the interactions amongst the barriers are estimated through the application of the “weighted influence non-linear gauge system (WINGS)” method which considers the both intensity of influence and the strength of the barrier. To mitigate these barriers, a framework based on green, resilient and inclusive development (GRID) is proposed.

The obtained results reveal that lack of collaboration amongst AFSC stakeholders, lack of information and education awareness, and lack of technical expertise obtained a higher rank (amongst the top five) in three indicators of the WINGS method and thus are the most significant barriers.

This paper is the first attempt in modelling the climate neutrality barriers for the Indian AFSC. Additionally, the mitigating strategies are prepared using the GRID framework.

This study views Net-Zero as a dynamic capability for decarbonising supply chains (SCs). This study aims to investigate the relationship between three information processing-related capabilities (supply chain visibility [SCV], supply chain integration [SCI] and big data analytics [BDA]) as its antecedents and SC performance as its competitive advantage outcome.

The authors conceptualise a research model grounded in the literature based on dynamic capabilities and information processing views. The study uses a structural equation modelling technique to test the hypotheses’ relationship using the survey data from 311 industrial enterprises.

The results show that SCI and BDA positively and directly influence the Net-Zero capability (NZC). No significant direct impact is found between SCV and NZC. BDA fully mediates SCV and partially mediates SCI in their relationship with NZC. The results also confirm that NZC positively impacts SC performance (SCP).

This study contributes to operations management and SC literature by extending the knowledge about Net-Zero SCs through an empirical investigation. In particular, the study suggests BDA is essential to enhance NZC as SCV alone does not significantly contribute. The study also documents the benefit of NZC on SCP, which can encourage more volunteer actions in the industry.