Enablers and Barriers of Flexible Green Supply Chain Management: A Total Interpretive Structural Modeling Approach

Nexus between organizational learning capability and organization age on corporate environmental citizenship

BACKGROUND

Many organizations around the world have prudently adopted corporate environmental citizenship. However, the corporate environmental citizenship implementation may vary from reality. Thus, this study examines corporate environmental citizenship to identify ultimate practices to create a strong premise of CEC.

OBJECTIVE

The study examines the influence of organizational learning capability, organization age on corporate environmental citizenship.

METHODS

The data were collected from 50 Malaysian construction firms using the survey questionnaire and analyzed by using Partial Least Square Structural Equation Modeling (PLS-SEM).

RESULTS

The finding revealed that organizational learning capability positively related to corporate environmental citizenship. Organization age was not found to moderate such relationships.

CONCLUSION

This study establishes that organizational learning capability encourages construction firms to take risks and explore new opportunities are essential for corporate environmental citizenship implementation. This study highlights the role of organizational learning capability to achieve corporate environmental citizenship irrespective of their organization age for construction firms. This study confirms the logic of Natural Resource Based View (NRBV) theory for predicting organizational learning capability as a critical foundation to build corporate environmental citizenship.

Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach

Urban areas serve as a vital contribution to the global structural change towards renewable and sustainable energy technologies which also influence climate change. The aim of this paper is to identify the adoption roadblocks to renewable and sustainable urban energy technologies. This research has three parts: a mini-systematic literature study was conducted to identify the most prevalent roadblocks. Using total interpretive structural modeling (ISM), the relationships between the roadblocks and the source of causation were then examined. The roadblocks are classified based on their dependence and driving powers using MICMAC analysis in the third part of this research. The principal results and major conclusions demonstrate that all roadblocks are necessary for renewable and sustainable urban energy technologies. The roadblocks at level I are insufficient infrastructure, lack of coordination among authorities, lack of quality and reliable data and information, and competition with non-renewable technologies; roadblocks in level II are lack of skilled and trained personnel, limited public participation, awareness, and consumer interest, and lack of standardized technology; roadblock in level III is high initial investment cost; and lastly, roadblocks in level IV are lack of subsidies and financial support programs and absence of coherent related policies. Furthermore, as a result of the MICMAC analysis, none of the aforementioned roadblocks are classified as autonomous variables, implying that they are all required. The dependent roadblocks to renewable and sustainable energy technologies are defined as lack of coordination among authorities, lack of information, and competition with non-renewable technologies. Moreover, linkage roadblocks have high dependence and driving powers which are insufficient infrastructure, limited awareness and consumer interest, and lack of standardized technology. Lastly, high initial investment costs, lack of subsidies and financial support programs, absence of coherent related policies, and lack of skilled and trained personnel are the driving roadblocks with high driving power however not dependent.

Comprehensive evaluation of sustainable consumption towards green growth based on an interval valued Neutrosophic TOPSIS approach

Sustainable consumption is crucial in reducing the growing pressure of environmental crises. This study proposes the Technique of Order Preference by Similarity to the Ideal Solution (TOPSIS) approach to evaluate sustainable consumption toward green growth. The proposed approach assesses criteria weights in Interval Valued Neutrosophic Sets (IVNSs) using the Method of Maximizing Deviation. The proposed method evaluates sustainable consumption for ten selected developed and developing countries, including Canada, France, Japan, China, Indonesia, Korea, Malaysia, Singapore, Thailand, and Vietnam. The evaluation process encompasses four main criteria with eight sub-criteria, namely environment (population density, CO2), energy (total natural resource rents, renewable electricity), economics (value added of agriculture, forestry, and fishing, GDP per capita), and health (fertility rate, mortality rate). The countries are ranked based on the relative closeness coefficient. The results reveal that two economic sub-criteria are pivotal in the sustainable consumption rankings. Canada emerges as the country with the highest degree of green growth, attributed to its extensive land area and potential for renewable energy. Based on the findings, this study proposes some policy implications for Vietnam, including balancing fertility and mortality rates and regulating economic growth and resource exploitation.

Understanding the dynamics of entrepreneurial implementation during the COVID-19 pandemic

Purpose

The purpose of this study is to understand the rational cogent correlation among the factors that are responsible for the implementation of entrepreneurship to reinstate the severely affected ecosystem during the coronavirus disease 2019 (COVID-19) pandemic.

Design/methodology/approach

This paper attempts to identify the various units of entrepreneurship and public policies of entrepreneurship from the coherent literature review and examine the units' objectives. Examination of these units will help understand how the economy can recover from the COVID-19 impact. Total interpretive structural modeling (TISM) and matrix impacts cross multiplication applique and classement (MICMAC) have been used to recognize the factors, which are responsible for detangling the slowdown of the economy.

Findings

On the basis of the literature review, a total of 13 factors have been identified. The TISM methodology represents the hierarchical structure of the recognized factors and examines the pros and cons.

Research limitations/implications

The TISM lags to explain the strength and bond among the factors. The MICMAC addresses this problem and advises what factor plays an essential role and which factor impact is the least. An advocate administration of the factors could help to achieve a successful entrepreneurial plan.

Originality/value

An analytic study of the literature review demonstrates the relationship among the units to frame an entrepreneurial plan during the COVID-19 pandemic by using the TISM methodology. Hence, TISM provides reasonable facts to examine why and what factors need more attention for the generation of new business starters in the economic crisis.

Flexible Green Supply Chain Management in Emerging Economies: A Systematic Literature Review

The purpose of this research is to synthesize the fragmented extant knowledge on flexible and green supply chain management (FGSCM) in the context of emerging economies and to unearth research gaps to motivate future research. We adopted a novel structured systematic literature review by triangulating a systematic literature review, text mining, and network analysis. Institutional theory and contingency theory were employed to analyze the results of the review. The results show that, firstly, research on FGSCM in emerging economies, despite its importance, is immature compared to general FGSCM literature. Second, the specificities of strategies and practices that distinguish this topic in emerging economies are discussed and the drivers and barriers are identified with respect to sources of institutional pressure. Third, a research framework for FGSCM in emerging economies is developed and 12 gaps for future research are identified. This study has exclusively developed a research framework for FGSCM in an emerging economy which has received the least consideration in the literature and practice. The framework was developed to synthesize the existing literature and to identify the research gaps to inspire future research.

Prioritizing the barriers of green smart manufacturing using AHP in implementing Industry 4.0: a case from Indian automotive industry

Purpose

Manufacturing companies are increasingly using green smart production (GSM) as a tactic to boost productivity since it has a number of advantages over conventional manufacturing methods. It costs a lot of money and takes a lot of work to create an SMS since it combines a lot of different technologies, including automation, data exchanges, cyber-physical systems (CPS), artificial intelligence, the Internet of things (IoT) and semi-autonomous industrial systems. Green smart manufacturing (GSM) activities provide the foundation for creating ecologically friendly and green products. However, there are a number of other significant barriers obstacles to GSM deployment. As a result, removing this identification of these hurdles in a systematic manner should be a top focus of this study.

Design/methodology/approach

This article seeks to identify and prioritize the nine barriers based on research and expert viewpoints on GSM challenges. The analytical hierarchy process (AHP) is used to prioritize the barriers.

Findings

The result depicts that, financial constraints is the most important barrier that followed by scarcity of dedicated suppliers, concern to data security lack of understanding of the surroundings, inadequate top management commitment, proper handling of data interfaces lack of support by government, employees' lack of training, concern to data security lack of environment knowledge, fear of change/resistance and constraints of technology.

Research limitations/implications

The current research will help the manufacturing industry in Industry 4.0 to identify potential barriers to GSM implementation.

Originality/value

Green manufacturing (GM) entails the implementation of renewable production methods and eco-friendly procedures in manufacturing businesses. This study helps manufacturers come up with recycling and creative products, and manufacturers can give back to the environment by protecting natural areas by getting rid of the obstacles that get in the way.

A Roadmap for Innovation Capacity in Developing Countries

Innovation capacity is a dynamic capacity linked with the achievement of competitive advantage. Several mechanisms have been proposed to evaluate this capacity. However, developing innovation capacity is a complex process, particularly for developing countries, due to the intricacy of its determinants. Hence, this research analyzes the interlinkages between the key determinants driving this capacity to further propose a continuous path for its growth. A comprehensive review of the literature regarding assessing mechanisms for innovation capacity was conducted, which included 14 key innovation determinants. From a contextual and systematic approach, interpretive structural modelling was employed to determine the interlinkages of these determinants and classified as drivers or dependent. Ten levels or steps were drawn from level partitioning of the final reachability matrix. The results show the relevance of promoting and protecting innovation and intellectual property as the ground to develop this capacity. In addition, R&D investment and university–industry collaboration contribute to the consolidation of innovation systems. Utility models, patents, trademarks, and institution prominence are the result of this loop of innovation capacity development. From these findings, policymakers, practitioners, and scholars can draw a sustained roadmap to enhance this dynamic capacity in their countries.

A green supply chain taxonomy in healthcare: critical factors for a proactive approach

Purpose

The aim of this study is to identify the critical factors of green supply chain (GSC) and to adapt these factors to the taxonomy of green practices in healthcare.

Design/methodology/approach

A qualitative multiple-case study approach was followed based on 60 interviews with nine French hospitals. An intra-case and a cross-case analysis were implemented.

Findings

The findings provide a taxonomy of healthcare GSC and show that regulation, cost reduction, top management commitment, employee training, information technology and measures of environmental performance are critical factors for GSC implementation. The study also underlines a few emergent critical factors including the purchasing group, environmental champion, building construction, combining safety and green approaches.

Research limitations/implications

This study was conducted in France following a qualitative methodological approach. Future research can consider other national and cross-national investigations and other quantitative or mixed methods approaches.

Practical implications

The research provides managers and policy makers numerous invaluable suggestions for the implementation of GSC practices in healthcare facilities. To accelerate GSC implementation, managers can invest in the construction of new buildings, in information technology, and in the automation of flows.

Originality/value

To the authors’ knowledge, this is the first paper identifying the critical factors of GSC implementation in the healthcare sector. It is also the first attempt to provide a taxonomy of hospitals according to their green approaches (reactive, receptive, and proactive).

Multi-criteria decision analysis of significant enablers for a competitive supply chain

Purpose

The purpose of this research paper is to study the significant enablers for a competitive supply chain and analyze the relationships among them by using multi-criteria decision-making (MCDM) techniques. The supply chain (SC) managers will get better insights from the models of this study to design their SCs that are more competitive for competitive advantage.

Design/methodology/approach

After an extensive review of literature followed by experts' opinions, 21 significant enablers for a competitive SC (CSC) were selected for structural modeling using MCDM techniques of total interpretive structural modeling (TISM), Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC), followed by decision-making trial and evaluation laboratory (DEMATEL) approach.

Findings

Top management commitment is the most prominent causing enabler of a CSC; customer satisfaction is the topmost effect enabler; the operational performance of individual firms in the supply chain is a crucial enabler of a CSC.

Practical implications

The results and findings of this study would provide better insights to SC professionals and practitioners to comprehend the significant enablers of a CSC for designing and executing SC operations more competitively to achieve better customer satisfaction and sustainable business performance.

Originality/value

To the best of the authors’ knowledge, this is a foremost study focusing on the significant enablers of a CSC by utilizing the TISM along with MICMAC and DEMATEL methods. It is expected that this research will offer useful guidance for assessing and considering the SC enablers for achieving a CSC and facilitate new research in this area with more thrust.

Factors affecting managers' intention to adopt green supply chain management practices: evidence from manufacturing firms in Jordan

Global sustainability movement encourages companies to adopt and implement green supply chain management (GSCM) practices across the organization. Moreover, the integration of green practices into traditional supply chain is still to be a difficult task in manufacturing sector. However, empirical studies regarding the identification of influential factors affecting GSCM adoption among supply chain managers in manufacturing sector are under researched. This study assesses the factors affecting GSCM adoption in Jordan manufacturing firms. A well-structured questionnaire was administered for data collection. A valid 376 responses were collected from different manufacturing firms in Jordan. The data were analyzed, and the proposed model was validated using the structural equation modeling (SEM) approach. Results reveal that four factors, namely, supplier, environmental, customer, and cost factors significantly influence the intention to adopt GSCM among managers. The firm size had significantly moderated the relationship between market/financial and GSCM adoption, internal factor and GSCM adoption. The study will help the policymakers to understand the drivers of GSCM adoption among managers and assist them in implementing GSCM practices according to the size of the firm. This study is first of its kind to analyze the role of firm size as a moderator on the relationship between market/financial, supplier, governmental, environmental, internal, customers, cost factors, and GSCM in the context of Jordon.

Investigating key dimensions for the development of women-owned enterprises: interpretive structural modeling and MICMAC approach

Purpose

Women-owned enterprises (WOEs) are one of the fastest-growing entrepreneurial sectors in the world. Therefore, this study aims to identify and develop the structural cause and effect relationship among the various strategic dimensions that affect the performance of WOEs in the Indian context.

Design/methodology/approach

With the help of the questionnaire survey, the data has been gathered. Further, the experts’ opinions are considered, which is followed by interpretative structural modeling and the impact matrix cross-reference multiplication applied to a classification (MICMAC) approach to explore the 13 dimensions associated with the development of WOEs such as work–life balance (WLB), entrepreneurial learning (EL), competencies, social identity (SI) and culture.

Findings

WLB and support of financial institutions are the dominant independent dimensions and EL and competencies have emerged as dominant dependent dimensions, which impact the development of WOEs. The other linkage dimensions are experience, entrepreneurship education and training, SI, government, non-government organizations, family, friends, culture, role models, etc.

Research limitations/implications

This conceptual model can be validated for any type of WOEs in India and in other countries.

Practical implications

Through this study, the academicians, decision-makers and policymakers must become aware of the importance of each dimension and their relatedness with each other, which provides the direction for designing and implementing appropriate policies to enhance the growth of WOEs.

Originality/value

This is the foremost research that provides an interpretive structural conceptual model to develop a map of the complex relationships and magnitude among the identified dimensions of WOEs.

Modelling the barriers of weather index insurance service adoption integrating expert mining and ISM Fuzzy-MICMAC

Purpose

The purpose of this study is to explore and prioritize the barriers that affect weather index-insurance (WII) adoption among customers by utilizing interpretive structural modelling (ISM) and fuzzy-MICMAC.

Design/methodology/approach

This paper utilized the combined approach in two phases. In first phase comprehensive literature study and expert mining method have been performed to identify and validate WII adoption barriers. In second phase, ISM has been utilized to examine the direct relationships among WII adoption barriers in order to develop a structural model. Further, fuzzy-MICMAC method has been utilized to analyse indirect relationships among barriers to explore dependence and driver power.

Findings

This study has identified 15 key barriers of WII adoption among customers and developed a structural model based on binary direct relationship using ISM. Later, the outcomes of ISM model have been utilized for analysing the dependence and driver power of each WII adoption barriers in cluster form using fuzzy-MICMAC. The customer awareness related WII adoption barrier are mainly at the top level, WII demand related barriers are in the centre and WII supply related barriers at the bottom level in ISM model.

Practical implications

The findings offered important insights for WII insurers to understand mutual relationships amongst WII adoption barriers and assists in developing strategy to eliminate dominant key barriers in order to enhance their customer base.

Originality/value

Based on best of author's knowledge this paper firstly integrates the ISM fuzzy-MICMAC method into identification and prioritization of barriers that affects WII adoption among customers.

Smart circular supply chains to achieving SDGs for post-pandemic preparedness

Purpose

The coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable. For this purpose, it is aimed to reveal the role of the smart circular supply chain (SCSC) and its enablers towards achieving Sustainable Development Goals (SDGs) for post-pandemic preparedness.

Design/methodology/approach

Total interpretive structural modelling and Matrice d'Impacts Croises Multipication Applique' a un Classement (MICMAC) have been applied to analyse the SCSC enablers which are supported by the natural-based resource view in Turkey's food industry. In this context, industry experts working in the food supply chain (meat sector) and academics came together to interpret the result and discuss the enablers that the supply chain experienced during the pandemic for creating a realistic framework for post-pandemic preparedness.

Findings

The results of this study show that “governmental support” and “top management involvement” are the enablers that have the most driving power on other enablers, however, none of them depend on any other enablers.

Originality/value

The identification of the impact and role of enablers in achieving SDGs by combining smart and circular capabilities in the supply chain for the post-pandemic.

How to make intelligent automation projects agile? Identification of success factors and an assessment approach

Purpose

Organizations are fast adopting new technologies such as automation, analytics and artificial intelligence, collectively called intelligent automation, to drive digital transformation. When adopting intelligent automation, there is a need to understand the success factors of these new technologies and adapt agile software development (ASD) practices to meet customer expectations. The purpose of this paper is to explore the success factors of intelligent automation and create a framework for managers and practitioners to meet dynamic business demands. Total interpretive structural modeling (TISM) framework is a suitable approach to integrate quantitative measurement with qualitative semi-structured interviews capturing the context of the individual organization environment.

Design/methodology/approach

This paper identified agility factors and their interrelationships using a TISM framework. TISM results were validated using a one-tailed t-test to confirm the interrelationships between factors. Furthermore, the agility index of a case project organization was assessed using a graph-theoretic approach (GTA) to identify both the triggering factors for agility success and improvement proposals.

Findings

Results showed that leadership vision, organization structure and program methodology were driving factors. The TISM model was validated statistically and the agility index of the intelligent automation case project organization was calculated to be79.5%. Here, a GTA was applied and the triggering factors for improvement of the agility index were identified.

Research limitations/implications

The limitations of the study are described along with the opportunities for future research as the field evolves through the rapid innovation of technology and products.

Practical implications

The increasing role of digital transformation in enterprise strategy and operations requires practitioners to understand how ASD practices must be planned, measured and/or improved over time through the implementation of automation, analytics and artificial intelligence programs. The TISM digraph provides a framework of hierarchical structure to organize the influencing factors, which assists in achieving organizational goals. This study highlights the driving factors which contribute to the success of intelligent automation projects and project organizations.

Originality/value

This is a first attempt to analyze the interrelationships among agility factors in intelligent automation projects (IAP) using TISM and the assessment of the agility index of a case IAP organization using a GTA.

Fuzzy DEMATEL-QFD for Designing Supply Chain of Shipbuilding Materials Based on Flexible Strategies

Shipbuilding materials are characterized by diverse kinds, large quantities and wide distribution of suppliers, which make the supply network complicated. Complex networks have led to increasing uncertainties that may cause disruptions in the supply chain. Flexibility is an effective measure to cope with uncertainty, thus this paper aims to integrate flexibility into the supply chain of shipbuilding materials and explore supply, logistics, organization and quality flexibility by focusing on the requirements of shipbuilding enterprises. This paper combines Quality Function Deployment (QFD), fuzzy theory and Decision Making Trial and Evaluation Laboratory (DEMATEL) methods to guide practical design. After determining five customer requirements (CRs) and 24 design requirements (DRs), QFD links CRs and DRs to determine the most important feasible DRs for improvement of supply chain flexibility. Research results reveal that the most important design requirements can be summarized into four aspects, namely domestic procurement, supply chain member cooperation, supplier supervision, and emergency response construction. Moreover, it is found that long-term strategic partnerships with suppliers and strategic logistics outsourcing are effective strategies. This paper provides insight into implications for strategic decisions of shipbuilding enterprises.

Emerging challenges to greening of supply chains: an empirical study

Purpose

This study aims to investigate the greening practices adopted by micro, small and medium enterprises in India and recommend an empirically tested and validated green supply chain management (GSCM) practices construct. The study also aims at measuring the influence of pressures created by external and internal stakeholders on the GSCM score.

Design/methodology/approach

The study used a mixed-method approach. Qualitative methods, including literature review, expert opinion, focused group discussions and questionnaire-based surveys, were used for item generation and data collection. Quantitative methods included exploratory factor analysis (EFA) to find out the reasonable number of constructs to include in the scale of the GSCM practice, confirmatory factor analysis (CFA) to purify/confirm the scale, and finally, structural equation modelling (SEM) to select the best fit model and to test all causal relationships as portrayed in the base model. In the two-stage survey, convenience and purposive sampling methods were applied.

Findings

The study develops an empirically validated scale of GSCM practices, which has 6 dimensions and 16 items. This scale can measure the greening score of GSCM practices implementation. Further, findings confirm that the pressures from external and internal stakeholders are the significant forces for micro, small and medium enterprises to adopt GSCM practices. Finally, mediation function of external/internal pressures and green factors also does occur where GSCM is the mediator.

Research limitations/implications

The study is an extension of available literature on GSCM practices utilizing the survey data from India. It contributes to the literature on micro, small and medium enterprises and GSCM practices implementation and expands the scope of theoretical applications.

Practical implications

For the managers, it provides useful insights about innovative practices to become eco-efficient. The second-order of scale reveals that managers need to equally focus on all factors rather than on any single one. Less GSCM practices score indicates the dearth of external and internal pressures on micro, small and medium enterprises. Therefore, managers need to collaborate with local customers, overseas customers, competitors and legislative agencies. Besides, training of employees, literacy of employees and support from top management also emerge as critical measures that help the industry implement GSCM practices.

Originality/value

GSCM as a topic had been extensively explored within different business areas and functions in the available literature. However, this study has some significant values. At prima facie, the study is the first that elucidates GSCM practices by incorporating the effects of pressures of different stakeholders in the context of Indian micro, small and medium enterprises which is considered as the most unorganized sector. Second, the proposed model of the study could provide useful direction for GSCM practices implementation in the unorganized sector in developing nations. Third, the study can also benefit academicians interested in the researched topic, organizations within different sectors and any other party interested in understanding more the concept of GSCM.

Addressing the Challenges to Sustainable Initiatives in Value Chain Flexibility: Implications for Sustainable Development Goals

The value chain refers to the source of competition to facilitate organizations to maximize and sustain value for their consumers. Value chain flexibility is necessary to build sustainable initiatives in addressing ambiguity. In the literature, there is a lack of framework to highlight the challenges to sustainable initiatives in value chain flexibility. This study fills this research gap by suggesting a framework for challenges to sustainable initiatives in value chain flexibility. In this study, thirteen potential challenges to sustainable initiatives in value chain flexibility are identified and an integrated model is developed. It adopts the modified Total Interpretive Structure Model and the Cross-Impact Matrix Multiplication Applied to Classification methodology. The mixed approach is used as the modified Total Interpretive Structure Model organizes the binary interactions among the challenges, while Cross-Impact Matrix Multiplication Applied to Classification analysis organizes specific precise assessments of the driving power and dependence of the challenges. The results of the study reflect that (i) lack of supplier commitment to sustainable products and (ii) lack of knowledge toward sustainability in value chains are the challenges that achieved the highest driving power. The challenge ‘inadequate communication among the suppliers in the value chain’ is at the highest level in the analysis. The proposed framework could help government and non-government bodies to formulate policies to efficiently address challenges to sustainable initiatives in value chain flexibility.

Modelling the leadership characteristics for organizational readiness: a context of lean implementation in healthcare

PURPOSE

The purpose of this study is to identify the leadership characteristics that make a health-care organization ready for lean implementation, analyse the interdependence among them and determine the rank of each characteristic based on their influence in the overall phenomenon.

DESIGN/METHODOLOGY/APPROACH

The leadership characteristics were identified through a review followed by an expert interview. Then, total interpretive structural modelling (TISM) was used to analyse the interdependence and determine the rank, driving power and dependence of each characteristic.

FINDINGS

The results suggest that modesty is the most crucial leadership characteristic that makes a health-care organization ready for the successful incorporation of lean practices. Apart from that, attributes such as transparency, accountability, a leader's ability to empower the employees and communication play a significant role in making the change management programme impactful and effective. A leader's team building capacity was found to be the dependent characteristic and was ranked the last in the overall phenomenon.

RESEARCH LIMITATIONS/IMPLICATIONS

Though this study throws light on various leadership dispositions that prepare a health-care organization to become a lean, it is still not an exhaustive exploration to be generalized. Because the leadership characteristics required for successful lean implementation may vary from one organization to the other depending on the purpose, intensity and priority of the implementation programme, these parameters along with the complexity of the scenario would determine what other leadership characteristics need to be included in the model to make it more robust and holistic.

ORIGINALITY/VALUE

The novelty of the study lies in capturing the leadership characteristics for organizational readiness in the health-care sector and using the TISM approach to identify the critical characteristics in the context of lean implementation in hospitals.

A relational analysis of drivers and barriers of lean manufacturing

Purpose

The purpose of this study is to categorize and analyse the drivers and barriers of Lean Manufacturing (LM) and subsequently, based on the structural model develop a house of lean management which will give an idea to the academicians and practitioners about the factors that are critical to implement lean practices in an organization.

Design/methodology/approach

A list of drivers and barriers was prepared based on the literature review and opinions from experts. Total Interpretive Structural Modelling (TISM) was utilized to build a structural hierarchy of the drivers and barriers of LM. The structural hierarchy was utilized to build the house of lean management.

Findings

Based on the hierarchy developed, the elements (drivers and barriers) of LM are classified into three groups: bottom-level, middle-level and top-level elements. To develop a house of lean management, bottom-level of elements were considered as a foundation, middle-level elements were considered as pillars and top-level elements were considered as a beam. Finally, foundation, pillars and beam of the house were used to support the roof (which is value to customers and profitability to firm).

Practical implications

The outcome of this research can assist researchers as well as practitioners to enhance the significant drivers and to reduce the impact of hazardous barriers for the better implementation of lean practices.

Originality/value

This research is a novel approach, as it visibly demonstrates both the drivers and barriers, examines the interrelationships among them in order and shows them pictorially as the house of lean management.

Environment Practices Mediating the Environmental Compliance and firm Performance: An Institutional Theory Perspective from Emerging Economies

Coercive pressure has forced firms to take up environmental measures in the last two decades in emerging economies. Under normative pressure, large firms with farsightedness take up the environmental practices as industry leaders. In a little mature emerging economy, such as India, where triple bottom line awareness is growing, the government facilitates the firms to operate in an environment-friendly ecosystem. We investigate how do environmental compliance and environmental practices influence the overall firm performance? The performance was measured in terms of financial, customer, internal business process, and learning and growth performance. A survey instrument was designed using well-established scales and administered to the middle to top-level corporate management executives to gather 240 data from the Indian firms. A rigorous statistical validity, diagnostics, and SEM were used to test the hypotheses. The environmental practices showed a full mediation effect on the effect of environmental compliance on performance. The examination of mediation relationships in an environmental context is limited in the reported literature. This paper is among the initial works that deal with complicated mediation relationships drawn from institutional theory propositions. The study established and argued that environmental practices' ecosystem would turn firms towards voluntary environmental compliance and eventually enjoy the long-term performance.

Analysis of supply chain resilience barriers in Indian automotive company using total interpretive structural modelling

Purpose

The study tries to identify the barriers influencing supply chain resilience and examine the inter-relationships between them. These relationships are built on the basis of how one barrier drives or is driven by the changes in another barriers.

Design/methodology/approach

In the first phase, literature review and with due discussion with experts, the barriers have been identified and shortlisted for an Indian automotive case company. In the second phase, total interpretive structural modelling (TISM) has been applied to examine inter-relationships between the barriers for an Indian automobile case company. Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis has also been performed to analyse the driving and dependence power of the barriers.

Findings

In total, 11 barriers are identified from the first phase of the study. In the second phase, the TISM digraph is created which qualitatively explains the reason behind how one barrier leads to another. MICMAC analysis classifies these variables in four clusters namely autonomous, linkage, dependent and independent. These clusters characterise the barriers based on their driving and dependent power which helps managers in strategically tackling them while taking understanding from the TISM digraph.

Research limitations/implications

Three research implications can be made from the study. First, a comprehensive definition of supply chain which helps in understanding of resilience based on disruption phases and recovery. Second, 11 barriers are identified which hinder resilience in automotive sector. Their relationships are modelled using TISM which also gives why a particular relationship exists. Last, MICMAC analysis classifies barriers based on how high or low the driving and dependence power exists.

Practical implications

The study offers significant implications for supply chain managers helping them in building resilience by identifying barriers and reducing their effect. Barriers are identified for case company which might help managers to tackle them during disruptions. The final TISM digraph depicts the “why” between the inter-relationships between the barriers to resilient supply chains. TISM shows that non-commitment of top management is the major root barrier which has been causing the other problems. MICMAC analysis is also performed along with discussion as to how autonomous, linkage, dependent and independent barriers can be tackled to build resilience.

Originality/value

TISM is considered as an effective methodology for conceptual framework development as it also explains “why” between the relationships besides explaining the “what” as against ISM. Identification and understanding of barriers and their interrelationship will help supply chain managers to analyse the influence and inter-dependence of barriers on the resilience of the supply chain. Such understanding will help in mitigating/averting these barriers hence improving the resilience capability. It also adds to the knowledge base in the area of supply chain resilience where several authors have pointed the lack of research.

What can we learn from previous pandemics to reduce the frequency of emerging infectious diseases like COVID-19?

The global risks report of 2020 stated, climate-related issues dominate all of the top-five long-term critical global risks burning the planet and according to the report, "as existing health risks resurge and new ones emerge, humanity's past successes in overcoming health challenges are no guarantee of future results." Over the last few decades, the world has experienced several pandemic outbreaks of various pathogens and the frequency of the emergence of novel strains of infectious organisms has increased in recent decades. As per expert opinion, rapidly mutating viruses, emergence and re-emergence of epidemics with increasing frequencies, climate-sensitive vector-borne diseases are likely to be increasing over the years and the trends will continue and intensify. Susceptible disease hosts, anthropogenic activities and environmental changes contribute and trigger the 'adaptive evolution' of infectious agents to thrive and spread into different ecological niches and to adapt to new hosts. The overarching objective of this paper is to provide insight into the human actions which should be strictly regulated to help to sustain life on earth. To identify and categorize the triggering factors that contribute to disease ecology, especially repeated emergence of disease pandemics, a theory building approach, 'Total Interpretive Structural Modeling' (TISM) was used; also the tool, 'Impact Matrix Cross-Reference Multiplication Applied to a Classification' analysis (MICMAC) was applied to rank the risk factors based on their impacts on other factors and on the interdependence among them. This mathematical modeling tool clearly explains the strength, position and interconnectedness of each anthropogenic factor that contributes to the evolution of pathogens and to the frequent emergence of pandemics which needs to be addressed with immediate priority. As we are least prepared for another pandemic outbreak, significant policy attention must be focused on the causative factors to limit emerging outbreaks like COVID 19 in the future.

Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach

Purpose

This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan.

Design/methodology/approach

This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach.

Findings

The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model.

Originality/value

This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.

Identification and analysis of enablers of SCM by using MCDM approach

Purpose

The purpose of this paper is to differentiate the empowering influences of critical enablers of supply chain management (SCM) along with their interrelationships. These empowering enablers are significant, as they encourage productive execution to improve organizational performance and stakeholder's satisfaction.

Design/methodology/approach

From the literature review, incidence of a number of SCM enablers were found and they were subjected to critical scrutiny by a considerable number of experts engaged in SCM research and application to identify significant and applicable empowering enablers by grounded interactions. By using Impact Matrix Cross-Reference Multiplication Applied to a Classification analysis, the driving and dependence power were analyzed and the empowering enablers were ordered. This was pursued by building up a structural model of the empowering enablers using interpretive structure modeling, followed with measuring cause–effect relationship using decision-making trial and evaluation laboratory (DEMATEL).

Findings

Among these identified enablers of SCM, operational performance, green SCM, employee empowerment and motivation and strategic association came out to be strategic enablers.

Research limitations/implications

The findings may help the practicing professionals to develop clarity in understanding of these essential enablers and their contextual as well as cause–effect relationship in SCM. The practicing professionals need to focus on all these enablers during implementation of SCM for enhancing the organizational performance and stake holders' satisfaction.

Originality/value

This study is of practical utility in real-life implementation of SCM. The algorithm used in applying the multi-criteria decision-making approach is very user-friendly, and the application of DEMATEL is an innovation compared to previous research. Further, the findings can be used as a benchmark for improving the performance of SCM by considering the cause–effect relationship.

Parametric review of food supply chain performance implications under different aspects

Purpose

Presented work gives comparative review of food supply chain (FSC) under various notions related to its conceptualisation, operationality and technological advancements in lieu with Industry 4.0 revolution. In Indian scenario, the impression of FSC seems in a scattered way that cannot be directly useful for an organisation, to overcome this scattering, a framework has been developed to consolidate the previous research works and exploration of new trends in food supply chain management (FSCM) in context to Indian scenario.

Design/methodology/approach

This article encapsulates the essence of various research articles and reports retrieved from databases of Emerald and Elsevier's Science direct, clustering the various notions related to FSC in Indian context. To visualise the one-sight view of related works, a pictorial representations have also been appended.

Findings

This article explains the general aspect of FSC and its linkage in context to Indian system. Presented work outlays both empirical and theoretical approaches trending from last 15 years. As research count in context to Indian FSC is lacking, so this work will be a road map for expedition in direction of FSCM, in era of research.

Practical implications

Findings and suggestion in this work can expanded in various industries related to food, helping to turn their fortune and enrichment of Indian FSC.

Social implications

Food is binding word for all the commodities, and its effective supply chain management is a big boon for economy of country along with large employment generation for people directly/indirectly associated with this industry. This article covers a generalise approach from ground level framework to a level of advancement which fulfil technological aspects, future needs and upcoming trends in lieu to need of developing nation.

Originality/value

As limited research is done in Indian FSCM, this work to bridge this gap along with a well-defined framework which going to explore FSC. This work is going to be facilitation for researchers of this area as no major review for Indian context has not been published.

Critical Success Factors for Corporate Social Responsibility Adoption in the Construction Industry in Malaysia

In the construction industry, corporate social responsibility (CSR) is increasingly valued as a strategic tool for business sustainable development and for addressing ethical issues. However, understanding the concept of CSR in the construction industry, and how to practice it, is limited. This study aims to explore and assess the factors critical to the successful adoption of CSR in the construction industry through the lens of critical success factors (CSFs) theory. Through a literature review, a list of potential factors that may theoretically have a major impact on CSR adoption in the construction industry was compiled as a proxy. Then, the potential factors were refined and validated by employing a Delphi technique. An expert panel of sixteen qualified Malaysian industry practitioners and academia was assembled. Results from three iteration rounds of the Delphi process depicted that successful adoption of CSR in practices depends upon eight CSFs including financial resources, top management support, managerial or internal skills on CSR, national economic growth, employees’ education and training on CSR, participation of key stakeholders in the CSR process, effective CSR communication, and organizational structure. This study contributes to the field by addressing a theme that has been covered less in literature. Knowing the CSFs for CSR adoption in advance could help the construction firms to successfully integrate CSR into business strategies and minimize the risk of failure. Policy-makers could also consider the findings when promoting the CSR agenda or development programs that adhere to the construction industry’s way forward. Although this study is particularly suited for the Malaysian context, nevertheless, the outcomes could shed some light upon the CSR initiative in other countries, since CSR adoption status in the construction industry overall does not significantly differ between countries.

Holistic Review and Conceptual Framework for the Drivers of Offsite Construction: A Total Interpretive Structural Modelling Approach

The significant ill-performances, challenges, and increasing competition within the construction sector are generating tremendous changes. One such revolution is the transition towards offsite construction (OSC). Although a plethora of studies has expounded the virtues and benefits of the approach, a holistic review and conceptual framework of the drivers of OSC is not well-established. This research draws on a multistage methodological framework of a systematic literature review, plenary discussions, and the total interpretive structural modelling (TISM) approach to build a holistic conceptual framework for the drivers of OSC. A review of 32 empirical studies distributed across four continents resulted in the extraction of 86 drivers. The 86 drivers were grouped into time, cost, quality, productivity, innovative competitiveness, market, sustainability, and policy clusters of drivers drawing on previous classifications in empirical studies. The TISM modeling revealed three hierarchical levels of the drivers, comprising dependent, linkage, and independent drivers. Based on an MICMAC analysis, “innovative competitiveness” and “sustainability” have the highest driving powers and lowest dependences, suggesting their prime significance in the adoption of OSC. Thus, this research provides a broader perspective of the drivers and may help OSC practitioners and policymakers to gain a better understanding of the ecosystem of the drivers.

Adoption of green practices throughout the supply chain: an empirical investigation

Purpose

There is a dichotomy in the actual and expected environmental performances of the Indian enterprises even though the Indian enterprises have aligned their businesses with intended nationally determined contributions (INDC) targets. The purpose of this paper is to analyze the supply chain of Indian enterprises to understand influences to adopt green practices throughout the supply chains, and how these green practices influence economic, operational and environmental performances to reveal the underlying currents explaining difference in actual and expected performance.

Design/methodology/approach

Five research propositions are developed based on the existing literature. Data are collected from 233 ceramic enterprises in India. Exploratory factor analysis has been done to test construct validity and correlation. Confirmatory factor analysis is used to check unidimensionality of constructs. Structural equation modeling is used to test the strength and direction of the relations between the constructs and to develop the model.

Findings

The findings of the study suggest that the Indian companies have aligned their businesses with INDC targets but they have not adopted the green practices in inbound and outbound supply chains; therefore, the actual environmental performance is not as expected. Other major finding is that the enterprise and government are not focusing on the informative pressure and instead the focus is on coercive techniques which are not yielding positive results. The statistical results show that the adoption of green practices led to the improvements in environmental and operational performances but reduction in economic performance.

Originality/value

This paper has analyzed green supply chain management pressure, practice and performance measure for Indian ceramic enterprises and proposed a structural model with their interrelation.

Modified total interpretive structural modelling (TISM) of asymmetric motives and its drivers in Indian bilateral CBJV

Purpose

The purpose of this paper is to examine the elements of asymmetric motives, i.e., initial cross-border joint venture (CBJV) conditions and relative partner characteristics in emerging nations. The two main objectives of the present research are to identify the elements affecting asymmetric motives in Indian bilateral CBJV and to construct modified total interpretive structural modelling (TISM) for the identified elements of asymmetric motives.

Design/methodology/approach

For the current study, the qualitative technique named total interpretive structural modelling was used. The TISM (Sushil, 2012) is a novel extension of interpretive structural modelling (ISM) where ISM helps to understand the “what” and “how” of research (Warfield, 1974) and TISM answers the third question, i.e., “why” in the form of TISM; further checks for the correctness of TISM are given in Sushil (2016). TISM provides a hierarchical model of the elements selected for study and the interpretation of each element by iterative process and also a digraph that systematically depicts the relationship among various elements. TISM is an innovative modelling technique used by researchers in varied fields (Srivastava and Sushil, 2013; Wasuja et al., 2012; Nasim, 2011; Prasad and Suri, 2011). Steps involved in TISM are shown in Figure 1. It uses reachability matrix and partitioning of elements similar to ISM. Also, along with traditional TISM, the modified TISM process was also used where both paired comparisons and transitivity checks were done simultaneously which helped in minimising the redundant comparisons being made in the original process. Furthermore, for identifying the elements of study, SDC Platinum database was used, which was taken from research papers of major journals namely British Journal of Management, Administrative Science Quarterly, Strategic Management Journal, Management Science, Academy of Management Journal and Organization Science (Schilling, 2009). The database included all joint ventures that were formed in India, having India as one of the partner firms during fiscal year April 2000 and March 2010. From these, 361 CBJVs and 76 domestic joint ventures were identified. Although 54 CBJVs were excluded from these, a total number of 307 CBJVs were studied in the current research. Among these 307 CBJVs, 201 were from super-advanced nations (G7), 40 CBJVs from developing nations and 66 CBJVs from other developed nations. As 65 per cent of the CBJVs came from G7 nations (France, Italy, Japan, Canada, Germany, USA and UK), in the current study, we tried to examine Indian CBJVs with G7 partners only for a period of ten years as mentioned above.

Findings

The results of the study indicate that asymmetric motives are directly affected by critical activity alignment and interdependency. Thus, we can conclude that critical activity alignment of partners in CBJV is an antecedent of CBJV motive and thereby minimises the number of asymmetric motives. Bottom level variables such as culture difference and relative capital structure are considered as strong drivers of asymmetric motives. Diversification, resource heterogeneity and inter-partner conflict are middle level elements. Effect of these elements on asymmetric motives can only be improved and enhanced when improvement in bottom level variables is found. It has been believed that as the relative capital structure among firm increases, CBJVs’ asymmetric motives also increase, the reason being that as the difference in capital structure occurs, gradual change in bargaining power will also occur.

Originality/value

TISM used in the present study provides valuable insights into the interrelationship between identified elements through a systematic framework. The methodology of TISM used has its implications for researchers, academicians as well for practitioners. Further study also examines driver-dependent relationship among elements of interest, i.e., relative partner characteristics and initial CBJV conditions by using MICMAC analysis, which can be viewed as a significant step in research related to bilateral CBJV.

Promoting Healthcare Sustainability in Developing Countries: Analysis of Knowledge Management Drivers in Public and Private Hospitals of Pakistan

Investing in a sustainable future has no alternative; the healthcare sector in developing countries has failed to achieve sustainability objectives. Knowledge management (KM) is a concrete application of sustainability in healthcare, as organizations (hospitals) that manage their knowledge assets will gain sustainable competitive advantage. Several organizations in developed countries are moving towards the adoption of knowledge management so that they can manage their knowledge well and improve their performance. Due to the effective implementation of KM in developed countries, developing countries are also considering adopting KM in their healthcare. In this study, an attempt has been made to identify the drivers of KM adoption in public and private hospitals of Pakistan. With the help of an extensive literature review and expert opinion, the drivers were identified and a hierarchical structure was developed. Nineteen drivers were identified and screened out by experts. The experts identified the contextual relationships between the drivers during a brainstorming session. The hierarchical model of the drivers for KM in the healthcare of Pakistan was eventually developed using interpretive structural modeling (ISM). The structure has 10 levels, in which “developed competitive advantage” formed the foundation of the structure and “job creation” and “improvement in the reputation of healthcare” formed the topmost level. The “Matrices d’Impacts Croises Multiplication Appliqué a un Classement” (MICMAC) analysis classified the drivers by categorizing them according to their driving and dependence powers. One driver is identified as autonomous, six drivers as dependent, seven drivers as linkage, and five drivers as independent. The analysis of KM drivers will provide a good understanding of the interdependence and interactions between them and support the effect adoption of KM in developing countries especially in Pakistan.

Modeling and analysis of FMS performance variables by fuzzy TISM

Purpose

The purpose of this paper is to identify the flexible manufacturing system performance variables and analyze the interactions among these variables. Interpretive structural modeling (ISM) has been reported for this but no study has been done regarding the interaction of its variables. Therefore, fuzzy TISM (total ISM) has been applied to deduce the relationship and interactions between the variables and driving and dependence power of these variables are examined by fuzzy MICMAC.

Design/methodology/approach

Fuzzy TISM and fuzzy MICMAC analysis have been applied to deduce the relationship and interactions among the variables and driving and dependence power of these variables are examined by fuzzy MICMAC.

Findings

In total, 15 variables have been identified from the extensive literature review. The result showed that automation, use of automated material handling, an effect of tool life and rework percentage have high driving power and weak dependence power in the fuzzy TISM model and fuzzy MICMAC analysis. These are also at the lowest level in the hierarchy in the fuzzy TISM model.

Originality/value

Fuzzy TISM model has been suggested for manufacturing industries with fuzzy MICMAC analysis. This proposed approach is a novel attempt to integrate TISM approach with the fuzzy sets. The integration of TISM with fuzzy sets provides flexibility to decision-makers to further understand the level of influences of one criterion over another, which was earlier present only in the form of binary (0, 1) numbers; 0 represents no influence and 1 represents influence.

A study on the influence of factors associated with organizational readiness for change in healthcare organizations using TISM

Purpose

The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

Design/methodology/approach

TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare.

Findings

This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change.

Research limitations/implications

This research mainly focused on readiness factors for change in the healthcare sector.

Practical implications

This study will be useful for researcher and practitioners to understand the readiness factors for change.

Originality/value

In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.

Interpretive multi-criteria valuation of flexibility initiatives on direct value chain

Purpose

Activities on direct value chain directly add value to the products/services delivered to the customers. This value addition can be further enhanced by taking up flexibility initiatives on these direct value chain activities. The purpose of this paper is to identify flexibility initiatives on the direct value chain and carry out their valuation.

Design/methodology/approach

Since different value addition criteria (i.e. benefits and costs) may be both tangible and intangible, an interpretive valuation based on multi-criteria framework would be desirable. The paper deploys the efficient interpretive ranking process (IRP) for this purpose. It uses total interpretive structural modeling (TISM) to derive weights of criteria based on their respective driving power. The paper also makes a methodological contribution to assess transitive dominance in IRP based on transitivity check as used in the modified TISM process.

Findings

The paper uses a multi-criteria valuation to examine the proposition that the flexibility initiatives will add a higher value as we go downstream in the value chain. The flexibility initiatives linked with marketing such as product upgradation and switching, customized services and dynamic pricing are found to be most value adding in character.

Research limitations/implications

The main limitation of this study is that it is generic in nature and need to be replicated in multiple case situations. The methodology proposed can be utilized for specific case analysis for flexibility valuation on the direct value chain.

Practical implications

The practitioners may be able to use the proposed method of TISM–IRP with improvements in real-life applications. The proposed multi-criteria valuation is interpretive in nature and can be utilized by practicing managers in group settings even if they do not have complete data.

Originality/value

The strategy and operations researchers will find promise in the methodology to investigate and prioritize the initiatives planned to enhance flexibility in different value chain activities. The researchers on multi-criteria decision making will find the methodological enhancement proposed in terms of graphically deriving the transitive dominance to be useful in other applications as well.

Analysing the barriers of lean in Indian coal mining industry using integrated ISM-MICMAC and SEM

Purpose

The purpose of this paper is to develop and validate a model for key barriers to lean implementation in the Indian coal mining industry.

Design/methodology/approach

Interpretive structural modeling (ISM) has been used to develop a proper hierarchy and contextual relationship of key barriers to lean implementation in the Indian coal mining industry through literature review and expert opinion which is followed by the classification of barriers using Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) and questionnaire-based survey to validate the ISM model using structural equation modeling (SEM).

Findings

In this study, 14 key barriers to lean implementation in the Indian coal mining industry have been identified, modeled and analyzed. The lack of top management commitment, financial constraints and lack of inter-departments co-ordination are found to be the most important barriers to lean implementation in the mining industry. The ISM-based model is validated using the SEM.

Research limitations/implications

The analysis of data represents that relatively more participants were from the mines located in eastern India and the maximum participants were managers and executives holding different levels (lower, middle or upper), although key participants in different mines were encouraged to distribute the survey to other employees also.

Practical implications

This model on lean barriers would help the decision makers, researchers and practitioners to anticipate potential barriers to lean implementation and support the existing academic research on lean. Accordingly, the focus on the lean barriers can be prioritized for the better utilization of the available resources for eliminating or minimizing the barriers.

Originality/value

This paper is an original contribution of analysis of the lean barriers in Indian mining industry using the integrated ISM–MICMAC and SEM approach.

m-commerce technology adoption

Purpose

The purpose of this study is to consolidate the state of research in mobile commerce (m-commerce) technology adoption from 2008 to 2017. This study not only reviews the evolution of m-commerce literature but also highlights the significant contribution of authors and their productive collaborations in the development of this area.

Design/methodology/approach

A total of 184 peer-reviewed articles focusing on m-commerce adoption were obtained after applying search criteria on Scopus database. After using inclusion and exclusion criteria to achieve the objective of this study, 86 journals were shortlisted. The study further discusses the dispersion of various m-commerce applications being explored in m-commerce literature. In addition, dominating technology adoption theories and the most used keywords have also been identified and discussed in this study.

Findings

This study indicates that technology acceptance model and unified theory of acceptance and use of technology are the most exploited technology adoption theories. Moreover, the dominating constructs in literature are perceived usefulness, ease of use social influence/social norm on behavior intention, attitude intention followed by performance expectancy, facilitating condition and effort expectancy influence on intention.

Originality/value

This study presents a detailed association rule mining and community analysis to show the association among constructs such as usefulness, ease of ease, social influence and intention as dominant group in this area. The study also identifies lesser explored constructs and indicates possible future research to validate and strengthen their understanding further.