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Grounded in stakeholder theory, this study aims to examine the barriers to blockchain adoption in hospitals in developing countries. It also aimed to explore the interrelationships among these barriers and investigate how the perceptions of clinical and non-clinical professionals in the healthcare industry differ regarding these barriers.

The study context was hospitals in India and proceeded in three phases. First, barriers affecting blockchain application in healthcare were shortlisted using a systematic literature review. In the second phase, a multi-round Delphi study with clinical and non-clinical healthcare experts was conducted to screen and validate the barriers identified in the first phase. Finally, the barriers were ranked and categorized into causal and effect groups using the Grey-DEMATEL technique in the last phase of the study.

The findings reveal variance in the viewpoints of clinical and non-clinical professionals regarding influential barriers. Overall, the most significant causal barriers were a shortage of IT skills and a lack of standards for patient data management standards in Indian hospitals. Additionally, the study identified the lack of a well-defined strategy for blockchain infrastructure deployment and limited support from hospital management as effect barriers.

To the best of the authors’ knowledge, this is the first attempt to use the integrated Delphi-DEMATEL approach to explore blockchain adoption barriers in hospitals from the expert’s point of view.

This study responds to the calls from the literature on identifying interactions among the sustainable supply chain management (SSCM) drivers, which influence focal firms’ SSCM decisions. It also determines how the effect of SSCM drivers differs across the upstream and downstream supply chains (SCs) entities of fast-moving consumer goods (FMCGs) companies.

We employ a multi-method design encompassing three studies: study 1 (multiple-case study), study 2 (quantitative survey), and study 3 (multiple-criteria decision-making or MCDM modeling).

The results show that the external drivers such as customer pressure, competition, and supplier pressure and internal drivers such as top management commitment interact to influence the adoption of SSCM practices, and this interaction is diverse across upstream and downstream SC entities of the FMCG sector. The study provides empirical evidence of relationships among the SSCM drivers, which influence SSCM decisions.

Understanding these interactions will help managers derive strategies to manage the overall SSCM ecosystem and recognize the multiplier effects of upstream to downstream and vice versa.

This paper aims to highlight how the six sigma methods helped the medical equipment manufacturing company in finding and analysing the root causes that lead to the reduction in production rate, rejection rates, quality and other major causes that lead to the reduction in productivity of the blood bags manufacturing unit.

Given the critical nature of blood bag manufacturing Six Sigma was chosen as the primary methodology for this research since Six Sigma’s data-driven approach provides a structured framework to identify, analyse and rectify inefficiencies in the production processes. This study proposes the Six Sigma DMAIC (D-Define, M-Measure, A-Analyse, I-Improve, C-Control) encompassing rigorous problem definition, precise measurement, thorough analysis, improvement and vigilant control mechanisms for effectively attaining predetermined objectives.

The paper demonstrates how the Six Sigma principles were executed in a blood bag manufacturing unit. After a detailed and thorough data analysis, it was found that a total of 40 critical-to-quality factors under the five drivers such as Machine, Components, Inspection and Testing, People and Workspace were influential factors affecting the manufacturing of blood bags. From the study, it is identified that the drivers such as inspection and testing, components and machines contribute significantly to increasing productivity.

The paper offers valuable strategic insights into implementing Six Sigma methodologies within the specific context of a blood bag manufacturing unit. The Six Sigma tools and techniques used by the project team to solve issues within the blood bag manufacturing unit can be used for similar healthcare organizations to successfully deploy Six Sigma. The insights from this research might not be directly applicable to other manufacturing facilities or industries but can be used as a guiding reference for researchers and managers.

The current state of scholarly literature indicates a significant absence in the examination of Six Sigma methodologies designed specifically to improve production output in healthcare equipment manufacturing. This paper highlights the application of Six Sigma principles to enhance efficiency in the specific context of blood bag manufacturing.

Diversity management literature is at a crossroads with limitations in producing novel insights due to its heavy reliance on the etic approach and surface-level diversity. This paper reviews identity work, identity negotiation and intersectionality to propose an interdisciplinary lens that offers new insights and suggestions for future research that will advance the diversity management literature.

Our paper advances methods in the diversity management literature by reviewing interdisciplinary research using a dual approach: a bibliometric analysis of the vast literature examining 323 papers published between 1987 and 2023, supplemented by a summary review of the identified thematic clusters.

This study identified seven thematic clusters around identity construction, transformation and navigation processes. The study highlights significant research gaps in (1) context-specificity, (2) deep-level forms of diversity, (3) lack of focus on meso-level stakeholders, and most importantly (4) lack of focus on the interplay of micro-level and meso-level interactions.

This paper contributes in three ways. Firstly, it pioneers a dual approach to comprehending the research landscape on identity work, identity negotiation and intersectionality, employing bibliometric analysis and summary review. Secondly, with its interdisciplinary reach, it advocates for a more inclusive diversity management approach, exploring micro-meso-level interaction through new lenses. Lastly, it offers theoretical and practical contributions by proposing an integrated multiple lens to better address the challenges and tensions of an increasing diversity of the workforce.

This article intends to comprehend the Lean Six Sigma (LSS) approach adopted in the aerospace industry in India for process improvement. This research has the objective of determining LSS deliverables such as Voice of Customer (VOC), Key Performance Indicators (KPIs), Critical-to-Quality (CTQ), project approach, deployment strategies and tools and techniques used to execute the project.

The study adopted an exploratory research methodology and a multiple case study analysis to draw robust inferences. The research is carried out in the Indian aerospace industry and analyses five case studies. The case studies were collated from the company via a case study protocol with pre-defined criteria. Also, a semi-structured interview is conducted with the stakeholders of each case study to determine the deployment strategies followed during the respective projects.

It is reconfirmed that LSS is crucial in the aerospace industry, particularly in engine and gear shops, to reduce rework and rejections. Also, it was found that cost and time savings are essential KPIs. Some LSS projects require multiple CTQs for process improvement in aero industries. The DMAIC approach is used for project execution, with the Design of Experiment (DOE) being an essential tool. Top management engagement, effective HRM practices, customer focus, cross-functional collaboration and clear roles are essential for successful LSS projects. Eventually, a road map was developed based on the analysis of multiple case studies.

The study is focused on the aerospace industry in India, which may limit the generalizability of the findings to other industries or regions. The small sample size and reliance on qualitative data through semi-structured interviews may introduce subjectivity. Additionally, the long-term effects of LSS implementation, particularly in the context of evolving technologies, were not fully explored.

This study provides actionable insights for aerospace companies and related organisations to enhance quality and operational performance. The developed roadmap offers a practical guide for LSS deployment, helping organisations improve efficiency and competitiveness, especially in an era of economic slowdown and high competition.

The study reveals similarities and differences in LSS deliverables in Indian aerospace industries, creating a roadmap and tool matrix for project execution and serving as a template for manufacturing industries.