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The competitive rivalry, rapid change and high business volatility necessitate inter-organizational collaboration, including the supply chain (SC). This paper develops an interpretive model of the effect of the chief executive officers’ (CEO's) transformational leadership (TL) style on SC collaboration and, consequently, on the firm's performance.

Total interpretive structural modeling (TISM) is adopted to develop a hierarchical model to delineate the association between the elements of TL, SC collaboration and firm performance. Furthermore, the model has been validated statistically.

The TISM analysis results suggest that the TL style elements require maximum attention and are strategic. These elements drive factors of SC collaboration leading to improved firm performance. Therefore, CEO leadership is critical for SC collaboration to effectively affect firm performance.

The TISM framework in this paper preferred the majority approach over the fuzzy one, which requires a much larger data set. However, the bias of the majority approach can be eliminated by having multiple consultations with participants. Further, the development and validation of the paper was limited to manufacturing small and medium enterprises (SMEs) in India. The model can also be tested in large organizations to garner additional insights.

This study uniquely integrates TL and SC collaboration elements to explain firm performance. The TISM framework explains not only the “what” and “how” but also the “why” of theory building. This study also adds methodological value by combining triangulation with the interpretive tool.

The dynamic business environment and intense competition have mandated agility in operations for manufacturing firms. Effective inter-organizational collaboration can make operations more agile. This paper develops an interpretive model to explore the effect of supply chain collaboration (SCC) on supply chain agility (SCA) and, subsequently, on business performance.

A hierarchical model that illustrates the relationship between SCC, SCA and firm performance components is developed using total interpretative structural modeling (TISM). Also, statistical validation of the model has been performed.

The results indicate that the vision and alertness of the firm on the strategic front promote collaboration between supply chain partners. This creates operational agility, helping the firm to absorb fluctuations in demand, thereby enhancing business performance.

The opinion of most respondents was considered to develop the TISM framework over the fuzzy one, which necessitates a significantly more extensive data set. However, multiple discussions with participants can eliminate the prejudice of the majority approach. Also, the paper's development and validation were restricted to Indian manufacturing small and medium-sized enterprises (SMEs). The model can potentially be evaluated in large organizations to provide further insights.

The study blends the factors of SCC and SCA in a novel way to explain their combined impact on business performance. The TISM model addresses the “why” of theory development in addition to the “what” and “how” of it. Using triangulation in combination with the interpretative tool, this study additionally offers methodological value.

This paper aims to explore the impact of excessive smartphone use on students’ academic performance. In today’s digitalized world, smartphones have become a vital device in human lives and have taken control over every aspect of day-to-day activities.

After a thorough literature review, the factors associated with smartphone use that impact student performance were identified, and a conceptual framework was developed. Further, a survey was conducted by contacting 264 students pursuing higher education in India to test the model. Structural equation modeling was adopted to test the hypotheses.

Results indicate that there is no direct impact of excessive mobile phone use on student performance. However, it can be observed that excessive mobile phone use impacts student performance indirectly mediated by technoference.

This study was conducted among students pursuing higher education in cosmopolitan cities with representation from India. Future studies can test the model among students in tier two cities and rural areas and primary and high school students for more insights.

This study has suggestions for college management to promote a hybrid learning model and prohibit using smartphones in classrooms and academic areas.

This study is among the earliest to explore the impact of technoference in an academic environment.

Tech start-ups (TSs) functioning in different domains have a responsibility of ensuring that domestic knowledge and capabilities are leveraged to minimize dependence on foreign organizations. Despite the growth of the ecosystem, while numerous TSs emerge, very few of them are able to survive, and of those that survive, very few scale up. The aim of this study is to identify the factors influencing the competitiveness of technological start-ups and to study the interrelationship and interdependence of these factors.

Modified total interpretative structural modeling (m-TISM) was employed for the current research. The analysis of what factors have an effect on competitiveness, how they affect it and why they affect it should be explored. The study begins by developing the list of factors through literature search, and further it is validated by expert opinion. A hierarchical model has been developed using m-TISM and MICMAC analysis to analyze the driving and dependency power of factors at each level.

Results show that the competitiveness of TSs is affected by organizational agility and internationalization. Factors present at the bottom level, namely entrepreneurial intensity, act as a strong driver for TSs. Team member commitment, transformational leadership, strategic alliances, knowledge sharing and organizational ambidexterity are middle-level factors.

This study is among the few articles that have explored competitiveness of TSs in the Indian context.

This study aims to analyze the state of knowledge on the relationship between leadership and the firm’s supply chain. The study identifies and examines the existing literature, unveils research gaps and suggests future research directions.

Adopting a systematic review process, a total of 110 articles published in top-ranked academic journals (A* and A category as per ABDC-2019 list) were analyzed. Descriptive, cluster, thematic and regression analyses of citations were performed to garner insights.

The review outcome shows an upward trend of articles studying the influence of leadership in the supply chain. With the highest number of articles, developed countries and manufacturing companies have been the research contexts of the research studies. Clustering reveals eight significant areas where the leader’s involvement in the supply chain is discussed, with several sub-themes emerging within each cluster. Finally, the regression analysis of citations shows that only the journal’s quality matters the most in receiving the highest citation for the articles.

As this study considered only A* and A-ranked journals of the ABDC-2019 list, there is a risk of excluding some relevant articles.

While the current literature deliberates on recent trends in the supply chain, such as the application of Industry 4.0 practices, this review revolves around the classical theme of leadership and demonstrates its importance in the supply chain. The study is among the first to conduct a bibliometric analysis of articles deliberating on leadership and supply chain issues by grouping the articles into clusters and themes. In the end, the clusters and themes were conceptualized into the “House of Supply Chain Leadership,” of which leadership forms the foundation.

One of the critical reasons for the nonacceptance of additive manufacturing (AM) processes is the lack of understanding and structured knowledge of design for additive manufacturing (DfAM). This paper aims to assist designers to select the appropriate AM technology for product development or redesign. Using the suggestion provided by the design assist tool, the user’s design alterations depend on their ability to interpret the suggestion into the design without affecting the design’s primary objective.

This research reports the development of a tool that evaluates the efficacy values for all seven major standard AM processes by considering design parameters, benchmark standards within the processes and their material efficacies. In this research, the tool provides analytical and visual approaches to suggestion and assistance. Seventeen design parameters and seven benchmarking standards are used to evaluate the proposed product and design quality value. The full factorial design approach has been used to evaluate the DfAM aspects, design quality and design complexity.

The outcome is evaluated by the product and design quality value, material suit and material-product-design (MPD) value proposed in this work for a comparative assessment of the AM processes for a design. The higher the MPD value, the better the process. The visual aspect of the evaluation uses spider diagrams, which are evaluated analytically to confirm the results’ appropriateness with the proposed methodology.

The data used in the database is assumed to make the study comprehensive. The output aims to help opt for the best process out of the seven AM techniques for better and optimized manufacturing. This, as per the authors’ knowledge, is not available yet.

Supply chain finance (SCF) has become a vital ingredient that fosters growth and provides flexibility to the global supply chain. Thus, it becomes essential to understand the factors that contribute to the success of the supply chain finance ecosystem (SCFE). This study aims to identify the critical success factors (CSFs) for the development of an efficient and effective SCFE. Based on their characteristics, the study intends to classify the factors into constructs and further establish a hierarchical relationship among the CSFs.

The study is based on empirical data collected from 221 respondents based on administered questionnaires. Exploratory factor analysis (EFA) is carried out on 16 selected factors (out of 21 proposed factors) based on the feedback of the experts and the factors were classified into four constructs. The total interpretive structural modeling (TISM) model was developed by identifying and finalizing CSFs of the SCFE. The model developed a hierarchical relationship between the various factors.

The study identified significant CSFs for the efficient and effective SCF ecosystem. Four constructs were developed by analyzing CSFs using the EFA. The finalized 16 CSFs modeled through the TISM and further hierarchical relationship established between the CSFs concludes that governmental policies and sectoral growth are the strongest driving forces and financial attractiveness is the weakest driving force. Based on the CSFs and the constructs identified, it was found that for the success of the SCF ecosystem, the existence of an economic ecosystem provides a facilitating framework for the overall development of the SCFE. Also, the trustworthiness among the partners fosters better relationships and results in financial feasibility and offers business opportunities for all the stakeholders.

This study will help the SCF partners across the globe understand the CSFs that ensure development of mutually beneficial SCF ecosystems and provide flexibility to the supply chain partners. The CSFs would provide insights to the policymakers and the financial intermediaries for providing a conducive environment for the development of a better SCF ecosystem. Also, the buyers and sellers would understand the CSFs that would develop better relationships among them and ultimately help in development of business across the globe.

The study identifies the CSFs for the SCF ecosystem. The study ascertains the significant factors and classifies them into clusters using EFA. Unlike the literature available, the paper develops the hierarchical relationship between the CSFs and develops a model for an efficient and effective SCF ecosystem.

This study aims to explore employee-customer identification and its consequences in the banking, financial service and insurance (BFSI) sector. We also look at the mediating role of psychological ownership and work orientation (calling) between employee-customer identification and the adaptability of service offerings.

In this study using a sample of 215 frontline employees from the BFSI sector in five Indian cities, the data was analysed using partial least squares structural equation modelling (PLS-SEM) in Smart PLS- 3.2.7 software.

When employees consider customers as individuals similar to them, they tend to be more accommodating of customers' diverse needs resulting in adapting the service. The study empirically establishes that psychological ownership and work orientation (calling) mediate the relationship between employee-customer identification and service offering adaptation.

This kind of identification can remedy the perennial problem of mis-selling in the BFSI context. The new insights gathered from these customer interfaces can be transferred upwards within the organisation to formulate actionable strategies. Hence, when employees feel their work is satisfactory, it leads to improvement in both profit margins as well as asset turnover for high-contact service firms.

The results demonstrate that employees who identify with their customers are more accommodative of customers' diverse needs resulting in adapting the service resulting in improved performance.

The purpose of this paper is to document similarities and differences between management practices of different types of organizations in India’s IT sector through an empirical survey. The authors expected these differences to be significant enough for us to be able to group a priori this set of companies meaningfully through cluster analysis on the basis of the similarity of their management practices alone.

Using a mixed-methods approach, 73 senior-level executives of companies working in India’s IT sector were approached with a pretested questionnaire to find out differences on eighteen management practices in the areas of operations management, monitoring management, targets management and talent management. The different types of organizations surveyed were small and amp; medium global multinationals, large global multinationals, small and medium Indian multinationals, large Indian multinationals and small and medium local Indian companies. The differences and similarities found through statistical testing were further validated a priori through cluster analysis and qualitative interviews with senior-level executives.

The management practices of multinationals in India are moving toward Western management practices, indicating that management practices converge as the organizations grow in size. Though the practices of large Indian multinationals were not significantly different from those of global multinationals, the surprising finding was that large Indian multinationals scored better than global multinationals on a few practices. The practices of small and medium Indian companies differed significantly from those of other types of organizations and hence they formed a cluster.

The finding that large Indian IT multinationals have an edge over global multinationals in certain people management practices is a confirmation of the role of human resource practices in their current success and their continuing competitive advantage.

This is perhaps the first study of its kind to document state of specific management practices across different types of organizations in India’s IT sector and then use measures on these practices to group a priori these organizations for validation.