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In this paper, we employ bibliometric analysis to empirically analyse the research on social entrepreneurship published between 1996 and 2017. By employing methods of citation analysis, document co-citation analysis, and social network analysis, we analyse 1296 papers containing 74,237 cited references and uncover the structure, or intellectual base, of research on social entrepreneurship. We identify nine distinct clusters of social entrepreneurship research that depict the intellectual structure of the field. The results provide an overall perspective of the social entrepreneurship field, identifying its influential works and analysing scholarly communication between these works. The results further aid in clarifying the overall centrality features of the social entrepreneurship research network. We also examine the integration of ethics into social entrepreneurship literature. We conclude with a discussion on the structure and evolution of the social entrepreneurship field.

Purpose Assessing the outcome of lean transformation journey has been of interest to both researchers and practitioners. Various qualitative and quantitative assessment methodologies have been proposed in literature to track and measure the degree of leanness attained. The purpose of this paper is to understand the evolution of this leanness assessment literature over different attributes and identify gaps for future research. Design/methodology/approach A detailed literature review of peer-reviewed journal articles and conference papers addressing leanness assessment was performed. Content analysis methodology involving a four-step process suggested by Mayring (2004) was adopted for this study. Findings The number of studies in literature on leanness assessment is low when compared to that in the area of lean implementation. Assessment methodologies developed are of wide range, varying from simple qualitative checklist to complex quantitative mathematical models. Following the trend of lean implementation literature, lean thinking assessment literature is also getting transformed from process-level monitoring to enterprise-level monitoring. Finally, based on this review, a simplified leanness assessment framework is proposed for future validation. Research limitations/implications Only peer-reviewed journals and conference papers were analyzed, while excluding the manuals, reports, and white papers from practice. Clustering of leanness assessment literature revealed that future studies in this domain would fall into two major categories, namely manufacturing leanness assessment and service leanness assessment. Practical implications Practitioners can use this review study to choose a suitable methodology for assessing the leanness attained in their organization by controlling for the structural attributes identified. Originality/value This is the first paper to review the topic “leanness assessment.” The review analyzes the entire literature available on leanness assessment to summarize its current status and identify potential future directions.

Smart wearable technology devices have enabled digital tracking and management of health and fitness parameters. To explore the antecedents and consequences of the adoption of wearable devices, we did a series of meta-analysis using the theoretical frameworks of the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the integrated conceptual model. Fifty-six studies identified from fifty-two articles were short-listed for this meta-analysis. Results from the combined effect size analysis confirmed all the TAM and UTAUT relationships. Along with constructs from traditional technology acceptance theories, other constructs such as innovativeness, compatibility, self-efficacy, and social influence had a significant impact on the behavioral intention to use wearable devices. This study also demonstrates the similarities in the effect sizes for constructs with similar meanings derived in the literature. The combined effects of TAM and UTAUT constructs were compared while examining the adoption of wearable devices. Many of the relationships analyzed in this research were moderated by culture and user type. Implications for research and practice have been discussed.

PurposeThe purpose of this research is to investigate the contingent adoption of Additive Manufacturing (AM) and propose a typology to evaluate its adoption viability within a firm's supply chain.Design/methodology/approachBy conducting semi-structured interviews of practitioners with deep knowledge of AM and supply chains from diverse industries, this research explores the contingent factors influencing AM adoption and their interaction.FindingsWhile the AM literature is growing, there is a lack of research investigating how contingent factors influence AM adoption. By reviewing the extant literature on the benefits and barriers of AM, we explain the underlying contingencies that enact them. Further, we use an exploratory approach to validate and uncover underexplored contingent factors that influence AM adoption and group them into technological, organizational and strategic factors. By anchoring to a selected set of contingent factors, a typological framework is developed to explain when and how AM is a viable option.Research limitations/implicationsThis study focuses on specific industries such as automotive, machine manufacturing, aerospace and defense. Scholars are encouraged to explore the contextual factors affecting AM adoption in particular industries to expand our findings. The authors also acknowledge that the robustness of their framework can be enhanced by integrating the remaining contingent factors.Practical implicationsThe developed typological framework provides a pathway for practitioners to see how and when AM can be useful in their supply chains.Originality/valueThis is the first paper in the supply chain management literature to synthesize contingent factors and identify some overlooked factors for AM adoption. The research is also unique in explaining the interaction among selected factors to provide a typological framework for AM adoption. This research provides novel insights for managers to understand when and where to adopt AM and the key contingent factors involved in AM adoption.

Purpose The purpose of this paper is to critically review and explore how organizations knowledgeably respond to unfavorable institutional environments that exert institutional pressures and thereby limit their decision-making and eventually their actual behavior. Design/methodology/approach Based on a thorough structuration and analysis of the literature in management and related fields, the authors present a comprehensive synthesis of organizational knowledgeable responses to institutional pressures. Findings Based on the review, the authors categorize organizational knowledgeable responses into three major types – passively responding to avoid non-conformity, reactively mitigating institutional pressures and proactively developing institutional environments toward less interfering setups. Research limitations/implications The authors discuss the enabling conditions for the categorized organizational knowledgeable responses as well as limitations to their application. They identify research gaps and formulate research questions to offer promising avenues for future work. The authors expect this detailed synthesis to lay the framework for investigating how the knowledge-based view of the organization influences its knowledgeable response to institutional pressure. Practical implications The authors elaborate on distinct passive, reactive and proactive strategies, which firms can apply to cope with institutional pressures. The contribution of this study will be of relevance to practitioners managing organizations in the face of unfavorable institutional setups, as well as to policymakers engaged in the development of institutions and interacting with affected organizations. Originality/value This study provides a valuable overview on developments in institutional theory, particularly on contributions to the “nascent literature” that examines heterogeneous organizational knowledgeable responses to institutional pressures.

PurposeAnchored in the Natural Resource-Based View (NRBV) and Dynamic Capabilities theory, this study examines blockchain’s role in facilitating firms' transition to a circular economy (CE), aiming to provide a robust framework for understanding the interplay between blockchain, CE and sustainability.Design/methodology/approachThe study uses an interpretivistic approach and semi-structured interviews to explore how blockchain can drive the transition to a CE.FindingsThe study shows blockchain can expedite the shift to a CE through pollution prevention, product stewardship and sustainable development, by leveraging dynamic capabilities (DC). It emphasizes blockchain as a micro foundation of DCs, with these capabilities enabling NRBV strategic capabilities.Originality/valueThis study investigates the intersection of blockchain and CE, offering empirical validation for a robust conceptual framework and revealing the societal impact of the CE transition.

PurposeThis paper aims at examining the impact that COVID-19 pandemic and its related work implications have on the relationship between lean implementation and service performance.Design/methodology/approachThe author surveyed service organizations that have been implementing lean for at least two years and remotely maintained their activities during the COVID-19 outbreak. Multivariate data techniques were applied to analyze the dataset. This study was grounded on sociotechnical systems theory.FindingsThe findings indicate that organizations that have been implementing lean services more extensively are also more likely to benefit from the effects that the COVID-19 had on work environments, especially in the case of home office. Nevertheless, social distancing does not appear to mediate the effects of lean services on both quality and delivery performances.Originality/valueSince the pandemic is a recent phenomenon with unprecedented effects, this research is an initial effort to determine the effect the pandemic has on lean implementation and services' performance, providing both theoretical and practical contributions to the field.

Purpose The purpose of this study is to document the experience and impact of implementing lean thinking (LT) in an Indian healthcare institution. Design/methodology/approach A detailed review of literature documenting the experience of implementing LT in healthcare institutions is carried out. Review revealed that there is a dearth of documentation on implementation of LT in Indian healthcare institutions. To address this gap, the experience of implementing LT in an Indian case hospital is documented by adopting a single case study research methodology. Findings Lean practices adopted by the Indian case hospital are documented. Performance measures before and after implementation of lean practices in the case hospital are compared. Based on this experience, a framework for implementing LT is proposed for healthcare institutions. Research limitations/implications The current study documents the experience of an Indian case hospital, which is only at its initial stages of LT implementation. Future studies can be undertaken to assess the long-term impact of implementing LT in a healthcare institution. Similarly, the proposed framework for implementing LT can be validated by using the same in different healthcare institutions. Practical implications Review of lean principles, practices and performance measures discussed in the literature on implementing LT in healthcare institutions can act as a ready reckoner for practitioners. Framework proposed based on the experience of the case hospital is expected to guide healthcare practitioners in their lean journey. Originality/value This study is unique, as it documents the experience of implementing LT in an Indian healthcare institution and proposes a framework for implementing LT for future validation.

Alternative approaches to analyzing and evaluating health care investments in state-of-the-art technologies are being increasingly discussed in the literature, especially with the advent of Healthcare 4.0 (H4.0) technologies or eHealth. Such investments generally involve computer hardware and software that deal with the storage, retrieval, sharing, and use of health care information, data, and knowledge for communication and decision-making. Besides, the use of these technologies significantly increases when addressed in bundles. However, a structured and holistic approach to analyzing investments in H4.0 technologies is not available in the literature. This study aims to analyze previous research related to the evaluation of H4.0 technologies in hospitals and characterize the most common investment approaches used. We propose a framework that organizes the research associated with hospitals' H4.0 technology investment decisions and suggest five main research directions on the topic. To achieve our goal, we followed the standard procedure for scoping reviews. We performed a search in the Crossref, PubMed, Scopus, and Web of Science databases with the keywords investment, health, industry 4.0, investment, health technology assessment, healthcare 4.0, and smart in the title, abstract, and keywords of research papers. We retrieved 5701 publications from all the databases. After removing papers published before 2011 as well as duplicates and performing further screening, we were left with 244 articles, from which 33 were selected after in-depth analysis to compose the final publication portfolio. Our findings show the multidisciplinary nature of the research related to evaluating hospital investments in H4.0 technologies. We found that the most common investment approaches focused on cost analysis, single technology, and single decision-maker involvement, which dominate bundle analysis, H4.0 technology value considerations, and multiple decision-maker involvement. Some of our findings were unexpected, given the interrelated nature of H4.0 technologies and their multidimensional impact. Owing to the absence of a more holistic approach to H4.0 technology investment decisions, we identified five promising research directions for the topic: development of economic valuation methodologies tailored for H4.0 technologies; accounting for technology interrelations in the form of bundles; accounting for uncertainties in the process of evaluating such technologies; integration of administrative, medical, and patient perspectives into the evaluation process; and balancing and handling complexity in the decision-making process.

Purpose Lean thinking (LT) has been implemented in various manufacturing and service sectors. But, only a few published research articles have developed a framework describing the procedure for implementing LT in an educational institute. The purpose of this paper is to develop and demonstrate a framework that can provide a structured procedure for the implementation of LT in an educational institute. Design/methodology/approach Various LT tools and techniques applicable in educational institute were identified by reviewing the relevant literature. By adopting an action research methodology (ARM) for a time period of 28 months, the processes in a case institute were studied; wastes in the process were identified and various solutions were proposed and implemented. Findings A comparison of the performance measures before (Batch 1) and after (Batch 2) implementation of solutions provided interesting insights into the effectiveness of LT. In both the batches, absenteeism in the class was found to increase across the terms. But the magnitude of increase was lesser in Batch 2. Results also showed that the number of unfilled seats (poor utilization) in an elective course in the second year of the program drastically reduced in Batch 2. Finally, a framework that can guide LT implementation in educational institutes was proposed. Research limitations/implications The current study describes only the initial stages of implementation in an educational institute. Hence, some of the benefits discussed are expected in the long run which can be assessed by carrying out a longitudinal study. Future study can attempt to empirically validate the proposed framework in multiple educational institutes and theoretically explain the reasons behind the results obtained. Practical implications ARM can be used as a tool by practitioners to study the behavioral aspects of employees of educational institutes toward LT implementation. The proposed framework and its demonstration can assist employees in educational institutes to implement LT. Positive results obtained in this study can further motivate the educational institutes to consider LT as a potential tool for improving the processes. Originality/value This is the first study to develop and validate a framework for structured implementation of LT in the processes of an educational institute. The study is also unique in empirically capturing the impact of LT implementation of an educational institute by analyzing the archived data.