Search results

The circular economy concept in the healthcare supply chain can demote using single-use devices by reprocessing, reusing or recycling. India is the most populous country in the world and has numerous challenges to implementing a circular economy in the healthcare supply chain. The objective of this study is to identify and analyse the roadblocks to circular healthcare supply chains in the Indian context.

The contribution of the manuscript is to the healthcare supply chain in adopting a circular economy and prioritizing the roadblocks using Fuzzy FUCOM and Fuzzy Bonferroni Mean Operator. A sensitivity analysis is performed to check the robustness of the results obtained.

The finding of this study suggests that regulatory roadblock is a more important roadblock in adopting the circular economy in the healthcare supply chain. It is expected that the government should formulate precise and consistent guidelines for the implementation of a circular economy in the healthcare supply chain. In addition, for faster implementation, tax rebate policy should be framed for the industries that are taking the initiative to implement a circular economy in their system.

This study explores and prioritizes twenty secondary roadblocks categorized into five primary roadblocks that will enhance the motivation of healthcare industries to become green and circular and contribute to the sustainability in healthcare sector. The government agencies should also take initiatives to create awareness about the circular economy among all the stakeholders.

This research is beneficial for policymakers, researchers, and industrial practitioners and is recommended based on current findings to facilitate the implementation of a circular economy in the healthcare sector.

This paper aims to determine the key factors and provide an effective model to enhance the performance of sustainable supply chain management (SSCM).

Data were collected using a semi-structured interview technique, a snowball sampling method and qualitative study method. For this purpose, ten supply chain and food production managers and experts were interviewed semi-structured. The data were analyzed using open, central and selective coding methods with grounded theory approach. In the proposed model, 13 principal codes have been specified, including organizational productivity, sustainable supply chain (SSC), industry supply chain, macro policies, organizational performance, social factors, economic factors, organizational factors, political factors, technology, manufactured products, customer and supply chain failures.

The model and concepts obtained from the participants clearly show that several reasons and motivations are involved in increasing the performance of SSCM. Moreover, the designed model indicates that the motives and reasons for turning to this system are satisfactory when implemented.

The distinctive and knowledge-enhancing feature of this paper compared to previous studies is the focus on the selected background, intervening and causal factors with the influence of strategies designed to achieve a new and local model for the SSC model and assess its impact on organizational performance and productivity. The proposed components of this paper have not been investigated so far.

Thus the purpose of this study is to prioritize the factors affecting the blockchain technology in accounting and auditing practices. Industry 4.0 technology has revolutionized how businesses and professionals perform tasks. Blockchain technology is one such Industry 4.0 technology and has the potential to change the processes used to measure and communicate financial information. More research, particularly in India, is required to better comprehend the use of blockchain in accounting and auditing.

This research used multi-criteria decision-making (MCDM)-based qualitative research approach (“interpretive structural modeling [ISM]” and “cross-impact matrix multiplication [MICMAC]”) to rank and classify the factors affecting blockchain adoption in accounting and auditing.

This study classified environmental, technological and management factors according to driving and dependent powers that enable blockchain adoption in accounting and auditing. The findings of this study showed that top management and government support were the most critical determinants of blockchain adoption in Indian accounting and auditing firms.

This research is one of the few qualitative studies examining the factors affecting blockchain adoption in accounting and auditing processes. After the Indian Government’s 2021 blockchain policy, this study is among the first to assess blockchain adoption factors using multi-criteria decision-making techniques in India to the best of the authors’ knowledge. The findings will assist stakeholders (government, technocrats, service providers, etc.) in increasing blockchain penetration in India’s accounting and auditing sectors.

As the global focus on supply chain management has shifted toward the importance of digitalization, resilience and sustainability to ensure viability, this paradigm merits special consideration in the industrial supplier selection process in a VUCA (Volatile, Uncertain, Complex and Ambiguous) world. Additionally, the increasing geopolitical challenges further complicate the industrial supplier selection process, necessitating robust decision-making frameworks. Thus, this paper aims to present a decision-making system using a fuzzy inference system (FIS) for industrial supplier evaluation and selection, considering a new criterion: viability.

Fuzzy set theory, particularly a FIS, is used to address the subjectivity of decision-makers’ preferences. The suggested method’s validity is evaluated using a real automotive case study for industrial supplier selection situations.

Seventeen key criteria for viable industrial supplier selection were identified and used to evaluate and select the case study firm’s industrial supplier. The chosen supplier (B) demonstrated superior resilience, sustainability and digitalization capabilities, making it preferable to others. Specifically, supplier (B) exhibited exceptional adaptability to disruptions, a strong commitment to sustainable practices and advanced digital integration that enhances operational efficiency.

This study provides valuable insights for researchers and professionals by proposing a comprehensive industrial supplier selection system. Integrating diverse criteria is essential for viable performance in supply chains that enhances robustness and adaptability, supporting more strategic decision-making in supplier evaluation amid global and network-related challenges.

This novel paper introduces a new criterion, i.e. viability, in the industrial supplier selection process in the VUCA environment. In addition, it proposes a decision-making system for viable supplier performance evaluation. Furthermore, it validates the proposed FIS in an automotive case study.

This study aims to investigate the factors affecting technological innovation intentions at banks listed in Vietnam, a developing country, to develop business activities and accounting benefits according to the trend of the 4th Industrial Revolution.

To collect and analyze the data for this study, qualitative and quantitative methods were used. Specifically, 20 finance and banking experts and 45 managers in the field of information technology were interviewed in qualitative research over a period of three months. Then, 1,000 questionnaires were sent to banks within six months, with the final sample for quantitative research being 324 respondents. Finally, the structural equation modeling (SEM) was used to check the hypotheses. Regarding the tools used, the qualitative study used a semistructured questionnaire to collect information. Meanwhile, SPSS software was used to analyze quantitative research information, including checking common method bias, nonresponse bias, evaluating scale quality and checking SEM.

The findings show that the usefulness, ease of application, credibility, innovation and efficiency of technology have certain impacts on technological innovation intentions at banks listed in Vietnam. Using the SEM analysis, the results showed that the five factors had a favorable influence on the technological innovation intentions. More specifically, this study proposed adding an efficiency factor, and the results showed that it has the greatest impact on technological innovation intentions.

This study would be considered a continuation of prior studies because it provides empirical evidence for business models at banks listed in developing countries (for example, Vietnam) and so provides useful advice for bank management not only in Vietnam but across Asia. In fact, bank managers should consider introducing new technology as appropriate to make their reports more clear and up-to-date, therefore improving their performance. Banking managers, in particular, should focus on enhancing the bank’s application technology indicators to obtain a competitive edge.

This is a pioneering study that uses a combination of the reasoned action theory, planned behavior theory, transaction cost theory and unified theory of acceptance and use of technology to expand knowledge about technological innovation intentions at listed banks in the context of a developing country. The study also discovered and added the efficiency factor as a key factor affecting the intention to innovate technology at listed banks. These contribute to improving the literature of technological innovation intentions.

The aim of this paper is a first attempt to map and describe airline information systems (IS) market, in the context of the latest trends affecting air services distribution, revenue management (RM) and passengers in the airline industry.

RM evolution has greatly affected airline revenues and load factors in a global environment characterized by fierce competition. The distribution of air services has shifted gradually from a model dependent on travel agents and other intermediaries toward a new trend of do-it-yourself (DIY) bookings through the Internet. The resulting new and significantly more complex environment mandates the connection between revenue management systems (RMS) and reservation systems (RS) through third parties (aggregators) that have emerged and are ready to perform this task. In this context, a market review has been carried out, following the approach of a structured literature review to illustrate this ecosystem.

Data collected from the vendors depict the market size and capabilities, highlighting that the market for IS in the airline industry is based on a relational triangle of dependence and competition that includes RS, RMS and aggregators.

Mapping both technological and functional backgrounds and the operation of current distribution systems and their linking with RMS and methods is deemed a necessity for identifying and describing the mechanisms that are defining the B2B relationship and the subsequent need to improve the ways current distribution schemes combined with RM applications are addressing changing market needs, reflecting the new behavioral models of the customers.

The sustainability of a student-initiated startup is function of intention–behavior gap and is inversely related. The overall performance of any university/program is evaluated through the number of startups initiated but majority of them are unable to survive when program gets over. Entrepreneurial intention (EI)–behavior gap is a deeply rooted cause behind such compromised entrepreneurial outcome of entrepreneurship education. The purpose of this study is to explore determinants of intention–behavior gap to address sustainability dimension of startups initiated by university students.

The study has adopted qualitative approach to explore determinants of EI–behavior gap; 12 students-initiated startups had been identified from a private university established in the region of Uttar Pradesh in India. One member from each group of student’s initiated startups had been contacted for in-person interview. Responses collected through structured interviews were analyzed afterward for the purpose.

The outcome of the study has identified five key determinants and develops a conceptual EI–behavior gap framework to address sustainability challenges of student-initiated startups.

The outcome of this study can be utilized by educational institutions to strengthen their entrepreneurial eco-system to ensure the sustainability of student-initiated startups. Identified determinants may reduce the possibility of startups failures in comparison to non-student entrepreneurs.

While educators impart FMEA instruction, its practical implementation within the educational sector remains limited. This study investigates the application of FMEA within higher education institutions. Implementing FMEA in these institutions is difficult due to statutory requirements, schedule restrictions, and stakeholder participation challenges. Moreover, higher education institutions struggle with preserving education quality, faculty training, and resource management, complicating organised methods such as FMEA.

This research conducted a global survey to identify the critical success factors, benefits, and common challenges in using FMEA in the higher education sector.

The outcomes highlighted that lack of awareness regarding the tools’ benefits is the primary barrier to FMEA implementation. However, respondents perceive that FMEA can improve process reliability and quality in higher education institutions. Further, the analyses found that knowledge about the FMEA tools is the prime critical success factor, and the lack of time due to other priorities in the organisation is a significant challenge in tapping the potential of FMEA.

A limitation of the study is the relatively low number of HEIs surveyed globally. Further, the study provides a broad perspective rather than a focused study on one HEI.

This study addresses this gap by exploring the potential benefits, challenges, and factors associated with the successful adoption of FMEA in academic settings. Using this information, HEIs can become more successful in applying FMEA.

This study is unique in its exploration of the application of FMEA with higher education institutions for service quality improvement.