ISM MICMAC Research Articles

Dimensions of Job Demands Among New-Generation Employees Based on Online Reviews by Employees

Based on employees’ online reviews, this article analyzes the dimensions of job demand for new-generation employees, using a combination model of Latent Dirichlet Allocation, decision-making trials and evaluation laboratory, interpretative structural modeling, and cross-impact matrix multiplication (LDA—DEMATEL—ISM—MICMAC). The results show that job demand is composed of 10 dimensions, and there is significant interdependence between the dimensions. Changing one dimension will quickly affect the other dimensions. The dimension with the greatest influence degree is leadership and team atmosphere (s1), while the dimension with the highest affected degree and centrality degree is welfare and promotion (s3). Leadership and team atmosphere (s1), company culture and industry (s4), overall environment and platform (s5), and platform and technology (s7) were identified as the key factors. They play a causal role in job demand and have a significant impact on other dimensions. Dimensions such as working relationship and intensity (s2), welfare and promotion (s3), opportunity and resources (s6), business and industry development (s8), corporate prospects and personal development (s9), and work stress and position (s10) are affected by other dimensions and require special attention. The underlying need is present for the dimension of leadership and team atmosphere (s1), which has a direct or indirect impact on other dimensions in different ways.

Critical factors identification of digital innovation in manufacturing enterprises: three stage hybrid DEMATEL–ISM–MICMAC approach

Critical factors identification of digital innovation in manufacturing enterprises: three stage hybrid DEMATEL–ISM–MICMAC approach

Prioritizing Agility Factors in IT–Enabled Healthcare Supply Chain under Uncertainty: A Joint ISM–MICMAC Approach

Prioritizing Agility Factors in IT–Enabled Healthcare Supply Chain under Uncertainty: A Joint ISM–MICMAC Approach

Framework for AI Adoption in Healthcare Sector: Integrated DELPHI, ISM–MICMAC Approach

Framework for AI Adoption in Healthcare Sector: Integrated DELPHI, ISM–MICMAC Approach

Exploring Sustainable Development Pathways for Agri-Food Supply Chains Empowered by Cross-Border E-Commerce Platforms: A Hybrid Grounded Theory and DEMATEL-ISM-MICMAC Approach.

As cross-border e-commerce platforms become increasingly integrated into the agricultural supply chain, the establishment of a sustainable supply chain ecosystem is of paramount importance. This study, grounded in the platform theory and the supply chain ecosystem theory, combines the grounded theory and the DEMATEL-ISM-MICMAC model to thoroughly analyze the complex mechanisms driving sustainable development. Utilizing the grounded theory, we construct a system of driving factors comprising five primary indicators and eighteen secondary indicators. The hybrid model reveals the interrelationships, significance, system hierarchy, and dependence-driving relationships among these factors. Notably, the driving factor system is categorized into a six-level hierarchical structure, encompassing profound elements, such as policy optimization and digital empowerment, as well as surface-level factors, such as simplification of customs procedures and consumer demand forecasting. Based on the analysis results, this research proposes a set of pathways to achieve the sustainability of the supply chain. These strategies involve improving cross-border agricultural e-commerce policy frameworks, enhancing digital-driven supply-demand coordination, strengthening logistics infrastructure and transparency, and cultivating brand influence. The study's findings not only enrich the relevant theories but also provide practical guidance for the coordinated advancement of economic, social, environmental, and resilient development. Furthermore, they are conducive to advancing the United Nations Sustainable Development Goals.

Transitioning drivers from linear to circular economic models: evidence of entrepreneurship in emerging nations

PurposeVarious publications have extensively documented the advantages of a circular economy in ensuring sustainability and limiting climate change. Despite academic records emphasising the need to adopt this business strategy, entrepreneurs in developing countries prefer linear economies. This reluctance is attributable to several factors, including insufficient infrastructure and technology, limited financial access, inadequate education systems and the prevalence of informal enterprises. Therefore, a thorough analysis of the underlying economic, political and social conditions is required to identify the drivers of circular economies (CEs) and their contribution to entrepreneurship in developing countries.Design/methodology/approachIn this study, the authors first conducted a comprehensive quantitative literature review based on LangChain to identify the critical CE drivers from the social, technological and organisational perspectives. Based on the input from the expert panel of Iranian academic and industry professionals, the authors applied an integrated fuzzy interpretive structural modelling and cross-impact matrix multiplication approach to classification (Fuzzy-ISM-MICMAC) to investigate the chronology of entrepreneurial drivers.FindingsLevel-based model results reveal entrepreneurial drivers in developing nations and their interrelationships, specifically underlining the importance of supply chain factors and stakeholder preferences. Thus, the differences between the perception of the main drivers in developed and developing economies can be identified, with the former paying particular attention to legislative and financial factors. The study's findings contribute to conserving resources, reducing waste and adopting more sustainable corporate practices, thereby assisting developing countries in achieving development goals.Originality/valueThis study employs an innovative quantitative systematic literature review approach that relies on a large language model to identify the drivers of the CE. Furthermore, it adopts a systematic approach to examine the enablers of the CE rather than a narrow and individual perspective of the entrepreneurial drivers. The study employs the fuzzy ISM MICMAC technique to showcase the prioritisation of entrepreneurial prospects in emerging economies.

Development of a framework for adopting Industry 4.0 integrated sustainable supply chain practices: ISM–MICMAC approach

Development of a framework for adopting Industry 4.0 integrated sustainable supply chain practices: ISM–MICMAC approach

Critical influencing factors of employees’ green behavior: three-stage hybrid fuzzy DEMATEL–ISM–MICMAC approach

Critical influencing factors of employees’ green behavior: three-stage hybrid fuzzy DEMATEL–ISM–MICMAC approach

Research on Financial Risk Path Identification of Chinese Energy Enterprises Based on ISM-MICMAC Model

As an important resource commodity related to the global economic lifeline, energy is the material basis for the survival and development of human society. With its identity as a major energy importer and consumer, China must ensure the stability of production and operation of energy enterprises, of which the identification and control of financial risks is of vital importance. Therefore, this paper first uses multiple risk identification methods to identify 9 external and 8 internal key risk factors affecting energy corporate finance in both external and internal dimensions, respectively. Then the ISM and MICMAC methods were used to construct a progressive multi-level structural model of the interactions of key risk factors, and the risk factors were classified by combining the driving power and dependence power of each key risk factor to reveal the interactions among the risk factors. The results showed that 5 partition levels were extracted from 17 risk factors according to ISM model and MICMAC analysis placed all factors into dependent quadrant and independent quadrant. This study reveals the internal relationship between risk factors and is of great significance to the financial risk identification and management of Chinese energy enterprises.

Analysing barriers of sustainable supply chain in apparel & textile sector: A hybrid ISM-MICMAC and DEMATEL approach

Apparel and textile sector is one of the most polluting sectors. It is majorly responsible for air, water, soil pollution and other negative effect. To counter this, implementing the sustainability practices play the major role. This study identified the various barriers that hinders, implementation of sustainability across the different stages of supply chain management. Moreover, opinion from the experts is taken for distinguishing the critical barriers. ISM and fuzzy MICMAC decision making techniques are used for the identification of critical barriers. It was found out that Communication gap among stakeholders, Barriers that effect performance of this sector, Lack of training and education about sustainability, Capacity constraints and Lack of reverse logistics practices are the critical barriers of sustainable supply chain management. In addition to this DEMATEL is used to classified the barriers into two groups i,e cause based and effect based. It was found out that all the cause-based barriers are exactly match with level 5 barriers of ISM model. DEMATEL method support the result of ISM and fuzzy MICMAC technique-based result. This study is useful for industry professional and managers in the Apparel & Textile sector.

Developing an agricultural entrepreneur inclination model for sustainable agriculture by integrating expert mining and ISM–MICMAC

Agribusiness is undergoing a global transition from ordinary cultivation to an agro-industrial sector. Agripreneurship is a new way of transforming agriculture into an enterprise in current business practices. This paper is written in the context of India, where many efforts have been made to encourage sustainable economic growth and development over the past decades. However, no significant progress has been seen in the agri-industry. The Indian agricultural sector is also afflicted with several other challenges related to the globalized economy, natural resource degradation, widespread rural poverty, and increasing competitiveness. In this study, we have endeavored to create an agripreneur inclination model in the context of the Indian rural sector. The objective of this study is to identify programs and policies that effectively support the development of agripreneurs. We also attempt to identify the characteristics of individuals who are more likely to become agripreneurs. The methodology we have used is based on the ISM–MICMAC technique. The findings show that agripreneur courses, agricultural policies, training and development modules, government cooperation, and the involvement of institutional heads play an essential role in inspiring the younger generation toward agripreneurship. This study’s findings will help policy makers design effective policies to motivate the younger generation to consider the agricultural sector as a career option.

Analysis of barriers to women entrepreneurship through ISM and MICMAC

PurposeThis paper aims to study the impediments and difficulties that prevent Indian women from becoming entrepreneurs.Design/methodology/approachData were obtained through a survey involving 15 experts. Based on the feedback provided by the experts, ten relevant barriers in the context of Indian micro small and medium enterprises (MSMEs) were chosen. A structured questionnaire was used to gather data. These ten barriers create obstruction for Indian women as entrepreneurs. These barriers were ranked, and causal relationships among them established using interpretive structural modeling and Matrice d’Impacts croises-multiplication appliqúean classment (cross-impact matrix multiplication applied to classification) (ISM–MICMAC) approach.FindingsThis study identifies, on the basis of extant literature and experts’ opinion, ten barriers to female entrepreneurship. These barriers were ranked, and causal relationships among them established using the ISM–MICMAC approach. On the basis of ranking, women can move forward in MSMEs after removing these obstacles and it will have good results.Research limitations/implicationsIn this research, with literature reviews and experts opinion, ten barriers have been identified for women’s entrepreneurship and have been used to build the model.Practical implicationsTo bring Indian women forward in the field of entrepreneurship, both the society and the government should work together, and efforts should be made to overcome the obstacles coming in the way of entrepreneurs.Social implicationsFemale entrepreneurship in India faces many problems including negative attitude of authorities and society toward women. The society and authorities have no format or model for Indian women to move forward in the entrepreneurship sector.Originality/valueThis study seeks to identify, on the basis of a thorough review of literature and expert opinion, major barriers to female entrepreneurship in the context of Indian MSMEs.

Modelling relationship marketing strategies for sustainability adoption

The relationship among the supply chain partners has been advocated by previous researchers for the sustainability adoption across supply chain. This research paper investigates the interrelationships among the relationship marketing strategies in industrial environment. This would help in formulating the strategy for maintaining the relationship with the supply chain partners for sustainability adoption. ISM MICMAC methodology has been used for the modelling and clustering purpose. This paper identifies that awareness among the supply chain partners has the maximum driving power for enabling sustainability adoption in the supply chain. The maximum dependency relationship marketing strategy is order allocation among the supply chain partners for optimising the sustainability performance of the supply chain.