Search results

Scarcity of resources and ever-changing demand have attracted the government and manufacturers for an integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS). Many organizations failed to adopt ISGLSAMS due to various barriers. The purpose of this paper is to identify and rank the various barriers to ISGLSAMS and to analyze the correlations among the various barriers to ISGLSAMS so that the adoption of ISGLSAMS can be implemented in manufacturing organizations for more sustainable development of the industries, and industrial ecology.

A three tiers methodology is used to analyze the barriers to the adoption of ISGLSAMS. First, a total of 24 ISGLSAMS barriers are identified through a comprehensive literature review. Then data are collected with a structured questionnaire from 108 Indian manufacturing industries. Then, the sign test is used to check the relevance and significance of barriers. Then ISGLSAMS barriers are ranked based on the median and standard deviation. Spearman's correlations between the ISGLSAMS barriers are identified and studied to strengthen the in-depth understanding of correlations among the barriers.

The result shows that most of the Indian manufacturing industries agreed with the selected barriers to the adoption of ISGLSAMS. Low supplier commitment, uncertain financial benefits, the misconception of high cost, difficulty in evaluation of system performance throughout the life cycle, complexity in ISGLSA process design, the complexity of management of ISGLSAMS, complexity in ISGLSA system design, lack of updated information, complexity in ISGLSA product design and uncertain future legislation are found the major barriers for the ISGLSAMS in Indian manufacturing industries. While lack of leadership, low top management commitment, lack of government support, organizational structure, low employees' commitment, technological risk and low public pressure are considered minor barriers for the ISGLSAMS. Inter-relationships study of the barriers further contributes to the methodology to overcome the barriers.

The study contributes to a better understanding of ISGLSAMS barriers. Through this study, government, stakeholders and policymakers may plan the policy, roadmap and strategies to overcome the barriers to the ISGLSAMS. This will lead to the successful adoption of ISGLSAMS for more sustainable development of manufacturing industries in India.

This work contributes to identifying the barriers to a more sustainable manufacturing system, i.e. ISGLSAMS (7Rs based), and prioritizing them in Indian manufacturing industries. The research also contributes to the (1) study of inter-relationships among the ISGLSAMS barriers for analyzing the effect of one barrier over another barrier, and (2) ISGLSAMS literature because the sustainable manufacturing literature still lags the achievement of sustainability goals due to 6Rs focus.

The purpose of this paper is to investigate the impact of intellectual capital (IC) efficiency on the banks’ risk-taking and stability of Asian emerging markets.

This study uses a sample of 204 listed banks from 12 Asian emerging countries for the period 2010 to 2019. Data were analyzed using Ordinary Least Squares regression and checked for robustness using system generalized methods moment (GMM) estimation. The dependent variable of bank stability is measured using Z-score-based return on assets (ROA) and return on equity (ROE). The second dependent variable of bank risk is proxied by the standard deviation of ROA, ROE, non-performing loans and loan loss provision.

The results suggest the IC efficiency has no association with bank risk-taking and stability. The findings lend no support to the resource-based theory. The robustness of this result is confirmed by the system GMM estimation. However, support is found for the competition fragility view as high market power is associated with low risk-taking. The IC subcomponents, human capital efficiency (HCE) report a negative coefficient for bank risk-taking thereby having no support for the hypothesized relationships. Diversified banks with a higher deposit to total asset ratio resort to high risk-taking.

IC efficiency does not have an impact on the bank’s risk-taking behavior and stability for Asian banks. Managers can use these findings to improve their IC and boost investor confidence. Regulatory authorities should increase its monitoring function of banks when the GDP decreases as risk-taking behavior are galvanized during this period.

This research is one of the first to provide empirical evidence of IC efficiency’s relationship with bank stability and bank risk-taking. The implications are useful for policymakers, managers and governing bodies to enhance the banks’ IC efficiency.

The purpose of the present work is identification and prioritization of barriers to Lean Six Sigma (LSS) implementation in Indian manufacturing industries in the context of Industry 4.0 (I4.0) to surmount the impediments in the path of successful implementation.

In total, 27 barriers identified through critical review of literature and expert's opinion are evaluated with Cronbach's alpha values including item-total correlations or corrected item-total correlations (CITC) using statistical tool. Finally, 20 barriers were analyzed and ranked employing Fuzzy Analytical Hierarchy Process (FAHP).

The study depicts that “Lack of leadership, advisory and monitoring,” “Lack of clarity about economic benefits” and “Lack of integration of LSS with smart tools/I4.0” are potential barriers to drive the path for proper implementation of LSS in Industry 4.0 with due consideration of its technologies in Indian manufacturing industries.

The study provides better knowledge platform for academicians and researchers about hidden aspects of LSS implementation barriers in view of advanced manufacturing technologies. This research will help the practitioners to design their business plans in implementing new quality improvement tools to get advantage in current competitive environment.

The barriers are selected based on literature and opinion from industry and academic experts. Five major criteria are decided after incorporating inputs. The ranking of the barriers is attained by well standard mathematical technique. This will enable the practitioners to design strategies to eliminate the hindrances in order to shape the right path for effective implementation of LSS approach in view of advanced manufacturing technologies.

The purpose of this paper is to assess the expectation and perception of the users of a library of reputed special academic institute in India on quality of library services. The paper is an effort to identify a service gap within five SERVQUAL dimensions rated by the library users.

The study was conducted through a survey methodology. The survey was implemented through a questionnaire based on five SERVQUAL dimensions. The data were collected by using 22 attributes of SERVQUAL for user expectations and perceptions of special academic institute library, and the gap score between expectation and perception of users was calculated. Based on the expectation mean score and gap score of each attributes, the researchers have identified the service shortfall in five SERVQUAL dimensions.

The result of the study indicates that there is an overall service quality (SQ) gap in services provided by institute library. However, the library is providing relatively satisfactory services to the faculty, but it needs to enhance up to the expectation level of its services to their registered participants. From the study, the average expectation score is very high and it indicates that users expect more from the institute library, particularly in Reliability and Tangibles dimensions. Out of the total 22 SERVQUAL attributes, the result reflects that 10 SERVQUAL attributes have high expectation and high service gap.

This paper will assist libraries to improve their library services, particularly in special academic training libraries. Determining SQ has been originated from marketing discipline that has progressively shown its value in the discipline of library and information science profession. This study contributes to the emergent body associated with SQ measures in libraries. Expectation-service gap chart and expectation-service gap grid are the major contribution and rarely found in SERVQUAL literature.

The purpose of this paper is to identify and prioritize the lean implementation (LI) barriers in the context of labor intensive Indian ceramic industries through a statistically reliable and validated model.

In this study, LI barriers are identified through a comprehensive review of relevant literature and discussions held with academicians/practitioners. Identified barriers, thereafter, are evaluated with Cronbach's alpha values using a statistical tool. The interpretive ranking process (IRP) methodology is applied for ranking of the barriers with reference to the measurable performance indicators.

The study identified highly relevant barriers of Indian ceramic industries. Further, these barriers were compared with performance measures through a cross-interaction matrix developed in the IRP model. The model highlights the analysis of dominance relationship of different barriers. Moreover, the result shows that top management commitment and leadership is at the top of the model, followed by lack of training opportunity and skills, and resistance to change and adopt innovations indicating their strongest driving power in LI.

This model may enable the firms to understand the LI barriers and come up with sensible implementation program. Further, the correlation results among the barriers will provide insights in mitigating the hurdles of lean manufacturing (LM) implementation in the industries.

This study empirically develops a model through the IRP for the barriers in LM implementation. From the reported literature, it appears that the application of IRP is very rare in ceramic industries in India. The analysis and prioritization of LI barriers may help practitioners to plan strategies to implement lean in a selected domain.

Achieving financial well-being is essential for individuals, families and countries as it leads to life satisfaction and happiness. This study synthesizes and identifies financial well-being’s key areas and dimensions using a blended systematic literature review and bibliometric analysis approach.

The authors systematically study a sample of 467 articles from the Scopus database to identify the research trend regarding financial well-being during the last 25 years (1997–2021). Various graphs and networks are presented to understand the publication trends, influential papers, conceptual and intellectual structures and research collaboration status.

Four clusters in the field of financial well-being were found: conceptualization and antecedents of financial well-being, financial well-being of young adults, the relationship between financial literacy and financial well-being and consequences of financial well-being. Further, emerging themes in financial well-being were identified with a content analysis of the papers published during the last five years.

This study will help financial planners, regulatory bodies and academic researchers in getting a better understanding of financial well-being and in identifying potential areas for future research.

Prior to this study, no such comprehensive bibliometric analysis on financial well-being has been carried out to the best of the authors' knowledge. This gap motivated the authors to combine quantitative and qualitative methods to review the published research and do a content analysis, to identify prominent authors and publications.

The purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Improve-Control (DMAIC) based framework through a case study of an Indian fasteners manufacturing organization.

Research methodology is established on the development of the existing DMAIC framework through an extensive literature review of 25 LSS/DMAIC based frameworks and discussions held with practitioners. This paper also depicts a case study of Indian manufacturing organization for validation of the developed framework.

The study proposed an extended DMAIC based framework for effective implementation of Lean Six Sigma (LSS) methodology. Furthermore, this framework has been implemented successfully in the Indian manufacturing organization and showed encouraging results. The in-house rejections of Nut Cylinder Head (NCH) were brought down to 966 from 2910 PPM and sigma level was improved by 0.40. The case organization has achieved significant improvements in the process capability, customer satisfaction, and cost savings of US$ 0.25 million in one financial year. Intangible benefits like improvements in employee's morale, communication, housekeeping and decision-making capabilities were also observed significantly.

The proposed DMAIC based framework has been implemented successfully in the Indian case organization, and the results will enable the policymakers, specifically practitioners, to strategically leverage the resources for successful implementation of the LSS in healthcare, aerospace, service sectors etc.

This research develops a DMAIC based framework which can be used to implement LSS effectively in different industries. Moreover, the pre (initial/introduction) and post (validation/verification) implementation phase provides the top management, an edge to think strategically into broader improvement areas.

The purpose of the study is to explore the bibliometric features of scientific publications in the area of domestic violence (an important global social problem) for the period 2011–2020; thus, enabling the scientific community to understand the research progress on the topic.

The data of the scientific publications were retrieved from the Scopus database. The keyword “Domestic Violence” was applied as a topic term to search articles published during the study period. The statistical analysis was conducted by using the RStudio and VOSviewer tools along with MS Excel.

A total of 11,899 scientific works were published during the study period. The annual percentage growth of publication in the area of domestic violence in the study period is 74.97%. The majority of the papers (74.72%) were published as journal articles. USA and UK have the highest numbers of scientific publications and citations. Together they account for more than half of the publications (58.38%) and citations (67 per pub). However, the highest average citation per publication has been recorded by Switzerland (34 per pub). Feder G. (UK) is the most cited author, and the Journal of Interpersonal Violence (Sage publications) has the highest number of publications, citations and source title impact ratio in the domain of domestic violence.

One can find numerous bibliometric studies in the domain of natural science, but not many studies have been conducted in the field of social sciences. In this light, the scientific community can gain from the bibliometric information regarding the scientific publications in the area of domestic violence, which is one of the dominant areas of study in social sciences.

The study will provide significant information on the trends of academic publications in the study area. It is one of the most comprehensive studies on domestic violence, which will aid the potential researchers in identifying the most prominent contributions, county-wise research distribution, author and journal productivity and other related indicators. The findings of the study will be also helpful to library authorities in reviewing and updating collection development policy.

Reverse supply chain (RSC) is one of the ways to handle product returns efficiently. Recovery of residual value from product returns also helps in achieving sustainability. Its successful implementation requires coordination among all the channel members involved in the activities, from the acquisition to collection to the disposition of returned products. This article aims to review the literature about coordination issues in the RSC.

A systematic literature review of 151 articles published during 2004–2021 is carried out. Theory, context and methodology (TCM) framework of the literature review is used to identify the research gaps for future research directions.

This study identifies the characteristics of RSC coordination. It includes channel structures; coordination mechanisms; performance measuring parameters; the methodology applied and explored industries. The review shows that game-theoretical modeling in RSC coordination is the most commonly used method to coordinate the channels. It was found that issues like disruption, fairness and corporate social responsibility are not explored in-depth and offer much potential for future research.

There are very limited studies on coordination issues in the RSC. The proposed articles add value by considering RSC issues from different strategic, government, consumers' behavior and functionality decision-making point of view.

Hospital activities restore health and save lives; yet they produce infectious waste that might harm people and the environment if not handled carefully. The sudden increase in bio-medical waste (BMW) generation was caused due to the outbreak of Coronavirus disease (COVID-19) at the beginning of year 2020. There is a huge potential of businesses from BMW generated in the developing economies. The document destruction process would prove to be beneficial in determining the strategies and policies for the business from BMW. Therefore, the purpose of this study was to identify and evaluate the factors that influence the business prospects from BMW in developing economies.

The study focuses on identifying 18 factors based on an extensive literature review, questionnaire, theoretical foundations and interviews with experts in the context of developing economies. These factors are categorized into four groups namely “Culture, education and microeconomics”, “Infrastructure, social provision, and technology”, “Policy and institution” and “Integrated waste management system”. Consequently, these factors are prioritized to assist the decision-maker in comprehending the most critical aspects of accomplishing the best business practices. A framework based on the Best–Worst Method (BWM) is applied to evaluate and determine the significance of each identified factor.

The major contribution of this paper is to identify key factors that are responsible for successful implementation of the business practices from the generated BMW. The study also explains their nature, significance and inter-relationship among them using BWM. Current study applied a distinctive modeling approach to examine the contextual relationship among the key factors and to rank them as per their importance. The findings of the study suggest that “Setup for collection and segregation is the best alternative for business from BMW produced”.

The paper also presents strategies, which can be adopted as a guiding step by the decision-makers to formulate policies for the effective business practice from BMW. This research is expected to stimulate future applications of the BWM to facilitate long-term decision-making.