Search results

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.

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.

India liberalized its economy in 1991, which resulted in intense global competition, quality-conscious and demanding customers. Additionally, significant technological advancements lead to enhancements in products and processes. These forced Indian organizations to adopt innovative business strategies in the past 30 years. Meanwhile, the Lean Six Sigma methodology has significantly grown with vast applicability during the past 30 years. Thus, the purpose of this study is to develop the learning on Lean Six Sigma methodology in the Indian context through investigation of literature.

A three-stage systematic literature review approach was adopted to investigate the literature during the present study. In total, 187 articles published in 62 journals/conference proceedings from 2005 to 2022 (18 years) were shortlisted. The first part of the article summarizes the significant milestones towards the quality journey in the Indian context, along with the evolution of the Lean Six Sigma methodology. The second part examines the shortlisted papers on Lean Six Sigma frameworks, their applicability in industrial sectors, performance metrics, outcomes realized, publication trends, authorship patterns and leading researchers from the Indian perspective.

Lean Six Sigma has emerged as a highly acclaimed and structured business improvement strategy worldwide. The Indian economy has seen remarkable growth in the past decade and is one of the fastest-growing economies in the 21st century. Lean Six Sigma implementation in India has significantly increased from 2014 onward. The study revealed that researchers have proposed several different frameworks for Lean Six Sigma implementation, the majority of which are conceptual. Furthermore, the balanced applicability of Lean Six Sigma in manufacturing and service sectors was observed with the highest implementation in the health-care sector. Additionally, the widely adopted tools, techniques along with performance metrics exploring case studies were reported along with a summary of eminent and leading researchers in the Indian context.

This study is confined to reviewed papers as per the research criteria with a significant focus on the Indian context and might have missed some papers due to the adopted papers selection strategy.

The present study is one of the initial attempts to investigate the literature published on Lean Six Sigma in the Indian context, including perspective on the Indian quality movement. Therefore, the present study will provide an understanding of Lean Six Sigma methodology in the Indian context to graduating students in engineering and management and entry-level executives. The analysis and findings on Lean Six Sigma frameworks, research approach, publications details, etc., will be helpful to potential research scholars and academia. Additionally, analysis of case studies on Lean Six Sigma implementation by Indian industries will assist the managers and professionals in decision making.

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.

The purpose of this paper is to evaluate the causal relationship between Lean practices and team performance. Specifically, the authors tried to demonstrate which practices act as enablers of continuous improvement and waste elimination and what is their impact on team performance.

A survey was carried out in a Higher Education Institution (HEI) in Southern Brazil. The authors obtained a sample of 785 respondents. The data analysis procedures involved confirmatory factor analysis and structural equations modeling.

The results of the research provided support for the positive influence of continuous improvement on waste elimination and of these two practices on team performance. In addition, empirical support was obtained for the effect of leadership support, employee involvement and internal process customers on continuous improvement.

Data collection was carried out online, so we were not able to maintain full control of the research respondents. This research generates relevant insights for decision-makers in the HEI environment, especially concerning Lean practices and team performance. The effects analyzed are even more relevant given the pandemic context.

This study shows how some higher education Lean practices can positively affect continuous improvement and better team performance. The results raise important insights for decision-makers to offer better higher education public services, especially given the context and changes imposed by the pandemic situation.

This paper initiates the discussion about enablers of continuous improvement and waste elimination in HEI and demonstrates their impact on team performance.

Lean is a continuous improvement methodology that has succeeded in eliminating waste in a variety of industries. Yet, there is a need for more research on Lean implementation in several under-studied contexts, including crisis situations such as those created by the recent COVID-19 pandemic. This research investigates how Lean programs were impacted by COVID-19, while previous research has primarily explored how Lean was used to solve problems created by the pandemic.

A mixed-method research approach was used to analyze employee feedback on how COVID-19 impacted the Lean programs using data from various levels of four energy-based utilities in the United States. First, an online questionnaire collected qualitative and quantitative data from a broad sample of participants. Then, a follow-up semi-structured interview allowed the elaboration of perceptions related to the research question using a smaller sample of participants.

Out of the 194 responses from the four companies, only 41% of the respondents at least somewhat agreed that COVID-19 impacted the Lean program at their company; of the remaining 59%, 35% indicated they were neutral, while 24% disagreed. The themes from the qualitative portion indicated that, while employees believed their companies had successfully found a new way to do Lean within the constraints of not always being in person, the collaboration and engagement were more challenging to sustain, and COVID-19 also otherwise made it more difficult to implement Lean. Meanwhile, some believed there was no impact on the Lean program.

The COVID-19 and Lean peer-reviewed literature published from 2020 to September 2023 focused primarily on using Lean to address problems created by the COVID-19 pandemic vs studying the pandemic's impact on Lean programs. This research partially fills this literature gap in understanding the impact COVID-19 had on Lean initiatives.

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.

Exploring the Lean and Green relationship goes back to the beginnings of Lean manufacturing. Most cases established that companies implementing Lean have Green results. However, there are Lean practices with a higher impact on Green, but others with less impact. Therefore, this paper presents research that explores the relationship between Lean and Green in manufacturing companies and aims to determine whether Lean practices have a higher association with Green aspects.

A survey was conducted amongst manufacturing firms to determine their Lean Index (LI). The internally related elements of the Lean construct determined each firm’s LI, whilst Cronbach alpha determined internal LI consistency. The survey also identified firms developing six Green aspects: International Organisation for Standardisation (ISO) 14001, ISO 50001, general Green aspects and the specific aspects of materials, energy and water. An individual sample t-test shows different LI levels of association for each Green aspect. Binomial logistic regression shows the LI element association for each Green aspect.

LI is higher at firms reporting the inclusion of Green aspects. More than half of LI components have a statistically relevant association with the six Green aspects. In general, Ishikawa diagrams had the highest association with Green aspects whilst the lowest was seen in workers as improvement initiators. By grouping the LI elements into their categories, the Lean practices related to controlling processes have a higher association, whilst the involvement of employees has the lowest.

Further research found in this paper identifies the possibilities for investigating the specificities of each Lean tool to develop Green aspects in companies.

Practitioners learn that Lean and Green are not separate issues in business. This article provides evidence that Lean practices in place at companies are already associated with Green aspects, so integration may already be happening.

This paper provides specifics on the relationship between each Lean practice and developing Green aspects. Thus, this paper specifies the Lean practices that contribute most to Green efficiency to support the joint development of both themes.

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.