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Tourism is one of the upcoming service industry in India with high potentials for future growth, particularly in rural areas. Many potential barriers are affecting the growth of tourism in rural India. Therefore, it is essential to explore and prioritize the barriers to tourism growth in rural India.

Qualitative and quantitative responses from “16” experts related to tourism and hospitality management from central India are collected for this study. An integrated Multi-Criteria Decision Making (MCDM) based framework is adopted to identify and relate significant barriers to tourism growth in India.

The result of the study identified many significant barriers and their importance to tourism growth in rural India.

The findings of this study add to the knowledge base of tourism research in line with the previous literature. This study offers an in-depth understanding of barriers focusing on rural tourism growth and devising both the plan of action and the suggestive measures in dealing with rural tourism.

The study provides a robust framework by integrating Interpretive Structural Modelling(ISM) and Decision Making Trial and Evaluation Laboratory (DEMATEL) to explore and prioritizing the critical barriers to rural tourism growth in India. The results of this study can help the decision-maker to fundamentally improve the economy of India through the growth of rural tourism.

The COVID-19 outbreak disrupted the business environment and severely affected the morale and performance of the employees. Further, the Indian automobile industry witnessed major setbacks and drastically impacted sector in COVID-19. Talent agility is an emerging concept in the field of HRM that will foster innovations and productivity in the automobile industry. Thus, this study aims to explore the barriers to building in-house agile talents in the Indian automobile industry in the new normal.

The barriers of talent agility were identified through a literature review and validated through experts’ opinions. This study used a hybrid approach, which combines Interpretive Structural Modelling-Polarity (ISM-P) and decision-making trial and evaluation laboratory (DEMATEL) to develop a hierarchical structural model of the barriers, followed by classification into cause and effect groups.

The result of the multi-method approach identified that shortage of skills and competencies, lack of IT infrastructure, lack of ambidextrous leaders, lack of smart HRM technologies and practices, lack of attractive reward system/career management, poor advanced T&D, poor industry, institute interface and financial constraints are the critical barriers.

It can provide a strategic roadmap for automobile manufacturers to promote talent agility in the current wave of digitalization (Industry 4.0). This study can help the managers to address and overcome the barrier and hurdles in building talent agility.

This study is unique in that it addresses the contemporary issues related to talent agility in the context of the Indian automobile industry in the current rapidly changing environment. This study developed a holistic integrated ISM(P)-DEMATEL hierarchical framework on the barriers of talent agility indicating inner dependency weights, i.e., the strength of interrelationship between the barriers.

In view of a lack of evidence on the effectiveness of climate change education (CCE) in China, this study aims to evaluate if a CCE course newly designed based on research recommendations and implemented with established pedagogy was effective in changing the beliefs and attitudes of first-year science students.

This study took a simple longitudinal approach with surveys administered at the beginning and the end of the course and the differences in the responses analyzed with nonparametric statistical analyses.

The results showed that the course produced significant changes in the beliefs concerning the anthropogenic causes of climate change and vulnerability to its impacts, which results in inequality of the impacts received. However, the course did not produce significant attitudinal changes among the students. Spearman’s correlation, which affirmed the belief–attitude association, revealed that the students already had desirable attitudes toward climate change and these attitudes had not been reinforced. The students’ perception of the importance of local government in climate action increased by the end of the course. Multimedia-aid learning, debates and discussions were useful in conveying the concepts of responsibility, ethics and vulnerability, but the addition of student-led community projects will increase personal significance of the course.

This study is instrumental for the development of a regional model of CCE in the mainstreaming of education for sustainable development in China, knowing that the regional approach is crucial to address the nuances in climate change knowledge, hence conceptions and beliefs across regions and, even, between different sectors of a region. This regional experience could also serve as a reference for other similar settings, particularly those of the developing countries.

This study presents one of the very few studies dedicated to gauging the effects of CCE in China, particularly of a newly developed climate change course, on the beliefs and attitudes of students. This permits pedagogical development and continuous improvement of CCE in China.

The study aims to identify Green Lean Six Sigma (GLSS) barriers in the context of Higher Education Institutions (HEIs) and prioritize them for executing the GLSS approach.

A systematic literature review (SLR) was used to identify a total of 14 barriers, which were then verified for greater relevance by the professional judgments of industrial personnel. Moreover, many removal measures strategies are also recommended in this study. Furthermore, this work also utilizes Gray Relational Analysis (GRA) to prioritize the identified GLSS barriers.

The study reveals that training and education, continuous assessment of SDG, organizational culture, resources and skills to facilitate implementation, and assessment of satisfaction and welfare of the employee are the most significant barriers to implementing this approach.

The present study provides an impetus for practitioners and managers to embrace the GLSS strategy through a wide-ranging understanding and exploring these barriers. In this case, the outcomes of this research, and in particular the GRA technique presented by this work, can be used by managers and professionals to rank the GLSS barriers and take appropriate action to eliminate them.

The ranking of GLSS barriers gives top officials of HEIs a very clear view to effectively and efficiently implementing GLSS initiatives. The outcomes also show training and education, sustainable development goals and organizational culture as critical barriers. The findings of this study provide an impetus for managers, policymakers and consultants to embrace the GLSS strategy through a wide-ranging understanding and exploring these barriers.

The GLSS barriers in HEIs may significantly affect the society. HEIs can lessen their environmental effect by using GLSS practices, which can support sustainability initiatives and foster social responsibility. Taking steps to reduce environmental effect can benefit society as a whole. GLSS techniques in HEIs can also result in increased operational effectiveness and cost savings, which can free up resources to be employed in other areas, like boosting student services and improving educational programs. However, failing to implement GLSS procedures in HEIs could have societal repercussions as well. As a result, it is critical for HEIs to identify and remove GLSS barriers in order to advance sustainability, social responsibility and operational effectiveness.

GLSS is a comprehensive methodology that facilitates the optimum utilization of resources, reduces waste and provides the pathway for sustainable development so, the novelty of this study stands in the inclusion of its barriers and HEIs to prioritize them for effective implementation.

Supply chain digitalization (SCD) facilitates a competitive advantage and is equally challenging. A literature analysis reveals that research related to SCD is available, but analysis of key barriers and their interrelations for effective SCD is limited. This paper aims to identify and find out interrelationships among the key barriers affecting SCD in the electronic supply chain (SC).

Interpretive structural modeling (ISM) is used to identify the contextual relationship among the SCD barriers. The model is validated using MICMAC analysis.

The findings of this study have implications at both theoretical and practical levels. The proposed ISM model can help organizations analyze and interpret interrelationships among barriers to SCD. It can lead to better insights and understanding for minimizing the dominant barriers to effective SCD.

This study tries to bridge the gap in identifying and finding the interrelationships among the key barriers to effective SCD in an electronic SC. The result assists practicing managers and academicians in effective decision-making on the SCD process.

Building information modelling (BIM) research studies are highly contextual as the contexts provide lenses for interpreting the results. However, there has been a growing decontextualization in extant studies especially between the small and medium-sized enterprises (SMEs) and large firms; and between developed and developing countries. Albeit these contexts are all in the same construction industry, they often react differently to the same conditions. Thus, this study aims to evaluate the perceptions of firms in varying contexts of size and location on the perceived barriers to the implementation of BIM in the architecture, engineering and construction (AEC) industry.

The perceptions of 228 firms gleaned from 26 countries across the 6 continents were collated via an international empirical questionnaire survey. The data was analysed using the mean score, rank agreement analysis, Mann-Whitney U test and factor analysis.

The findings revealed the major factors impending BIM implementation in each of the contexts and a comparative analysis emphasized the difference in their perceptions. The findings underscore that there is a general digital divide as regard BIM implementation between the SMEs and large firms, and a deepening divide between the developed and developing countries.

The study has provided empirical evidence for the BIM divide in the AEC industry, which would influence the promulgation of BIM policy and transferability of best practices across varying contexts of both firm size and country level.

Achieving sustainable development in terms of people, prosperity and partnership is the main aspect in any country’s plan for development. This sustainable development has to be achieved in three major dimensions, that is, economic, social and environmental in an integrated, balanced and systematic way. The same is highlighted in the United Nations’ (UN) vision for sustainable development by 2030. The purpose of this study is to identify the critical barriers of urban sustainability and gender equality with reference to Indian context, to suggest the strategies to achieve sustainable development in the referred area and to evaluate the relationship between them.

The major contribution of this study lies in the development of a contextual relationship model from the various identified critical barriers in Indian context, using interpretive structural modeling with MICMAC analysis.

Of the 17 goals given by UN, considering the Indian context, the goals of building resilient infrastructure, promoting inclusive and sustainable industrialization and fostering innovation; promoting sustained and inclusive economic growth along with full and productive employment and decent work for all; and gender equality and empowering women at all levels seem to be the major challenges and the same are selected in this study for further analysis. To understand the major challenges in these areas and also to find the way forward, the study has set following three major objectives: to identify the critical barriers of urban sustainability and gender equality with reference to Indian context; to suggest the strategies to achieve sustainable development in the referred area; and to evaluate the relationship between them.

Considering the highly volatile and complex demand requirements, this approach may help to enable the government to tackle issues/challenges related to both urban sustainability and gender inequality on priority basis and in a holistic manner to achieve the goals of sustainable development, thereby improving the quality of life.

Battery integration with renewable energy and conventional power grid is common practice in smart grid systems and provides higher operational flexibility. Abundant issues and challenges to the Indian smart grid while integrating renewable energy and storage technology will give timely emphasis to grasp uninterrupted power supply in forthcoming trend. Hence, this paper aims to acknowledge different barriers of battery integration and evaluate them to develop approaches for restricting their influence.

A multi-model approach is used to illustrate how these challenges are interrelated by systematically handling expert views and helps to chronologically assemble various issues from the greatest severe to the slightest severe ones. Further, these barriers are grouped using the cross-impact matrix multiplication applied to the classification analysis (MICMAC) study grounded on their driving and dependence power. Also, hypothesis testing was done to validate the obtained model.

It provides a complete thoughtful on directional interrelationships between the barriers and delivers the best possible solution for the active operation of the smart grid and its performance.

There is a significant requirement for high-tech inventions outside the transmission grid to function for the integration of renewables and storage systems.

The model will support policymakers in building knowledgeable decisions while chronologically rejecting the challenges of battery integration in smart grid systems to improve power grid performance.

Based on author’s best knowledge, there is hardly any research that explicitly explains the framework for the barriers of battery integration in grid for developing countries like India. It is one of the first attempts to understand the fundamental barriers for battery integration. This study adds significantly to the literature on the energy sector by capturing the perspective of various stakeholders.

The study explores the potential barriers to data science (DS) implementation in organizations and identifies the key barriers. The identified barriers were explored for their interconnectedness and characteristics. This study aims to help organizations formulate apt DS strategies by providing a close-to-reality DS implementation framework of barriers, in conjunction with extant literature and practitioners' viewpoints.

The authors synthesized 100 distinct barriers through systematic literature review (SLR) under the individual, organizational and governmental taxonomies. In discussions with 48 industry experts through semi-structured interviews, 14 key barriers were identified. The selected barriers were explored for their pair-wise relationships using interpretive structural modeling (ISM) and fuzzy Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analyses in formulating the hierarchical framework.

The lack of awareness and data-related challenges are identified as the most prominent barriers, followed by non-alignment with organizational strategy, lack of competency with vendors and premature governmental arrangements, and classified as independent variables. The non-commitment of top-management team (TMT), significant investment costs, lack of swiftness in change management and a low tolerance for complexity and initial failures are recognized as the linkage variables. Employee reluctance, mid-level managerial resistance, a dearth of adequate skills and knowledge and working in silos depend on the rest of the identified barriers. The perceived threat to society is classified as the autonomous variable.

The study augments theoretical understanding from the literature with the practical viewpoints of industry experts in enhancing the knowledge of the DS ecosystem. The research offers organizations a generic framework to combat hindrances to DS initiatives strategically.

This study aims to identify the most significant barriers and the stationary barrier to modular construction (MC) implementation and promote MC widespread use. By doing so, the construction industry can leverage the benefits of MC, such as faster construction times, improved quality control, reduced waste and increased sustainability.

This study uses a Gini’s mean analysis approach to identify the stationary barriers hindering the MC adoption in residential projects. The research focuses on the Egyptian context and uses a questionnaire survey to gather data from professionals in the construction industry.

According to the survey findings, the top five significant MC barriers are inability to modify the design; contractors asking for high bidding prices (higher initial cost); scepticism, conservation and resistance of clients to innovation and change; transportation restrictions; and lack of a one-size-fits-all tool for the design. In addition, Gini’s mean of dispersion demonstrated that the stationary barrier that faces MC adoption is the apprehension that architectural creativity will suffer because of MC.

The identified obstacles could be useful for decision makers in countries that have not yet adopted MC and may aid in the planning process to manage the risks associated with MC projects. The paper stresses the significance of devising techniques to overcome these barriers and proposes several methods to tackle these challenges.

This study fills the knowledge gap by identifying the stationary barrier and emphasising the potential risks associated with MC barriers. Furthermore, it suggests several strategies for overcoming and reducing these barriers in developing countries residential projects.