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The apparel industry of Bangladesh is rethinking lean manufacturing (LM) deployment because of the challenges imposed by the COVID-19 pandemic. Due to COVID-19, LM implementation in the apparel industry has become more difficult. Thus, the purpose of this study is to explore the barriers to implementing LM practices in the apparel industry of Bangladesh in the context of COVID-19 pandemic.

For evaluating the barriers, an integrated framework that combines the Delphi method and fuzzy total interpretive structural modeling (TISM) has been designed. The application of fuzzy TISM has resulted in a structured hierarchical relationship model of the barriers with driving and driven power.

The findings reveal that “lack of synchronization of lean planning with strategic planning”, “lack of proper understanding of lean concept” and “low priority from the top management” are the three top most important barriers of LM implementation in apparel industry.

These findings will help the apparel industry to formulate strategy for implementing the LM practices successfully. The proposed model is expected to contribute to the sustainable development goals (SDGs) such as Responsible Consumption and Production (SDG 12); Decent Work and Economic Growth (SDG 8); Industry, Innovation and Infrastructure (SDG 9) via resilient strategies.

This study is one of few initial efforts to investigate LM implementation barriers during the COVID-19 epidemic in a real-world setting.

In the highly competitive business landscape, manufacturing firms need to adopt an effective manufacturing strategy to attain a successful world-class manufacturing status. Over the past few decades, the lean manufacturing (LM) approach has gained recognition as one of the foremost strategies for enhancing performance. However, the implementation of LM poses significant challenges due to several barriers. The purpose of this paper is to investigate the primary barriers to lean implementation within the apparel industry.

This paper used an exploratory study approach, using a three-part structured questionnaire to assess the level of agreement on different lean barriers. The measurement of these barriers was conducted using a five-point Likert scale. Empirical data were collected from 177 apparel companies located in Bangladesh.

The findings of the research highlight that the primary obstacles to implementing LI include a lack of understanding of the lean manufacturing system (LMS), the manufacturing process, the company culture and resistance from employees.

This paper could potentially limit the generalizability of this research, as it exclusively examines a single manufacturing sector – the apparel industry.

This paper will help practitioners in finding solutions to resolve discrepancies between current manufacturing practices and the LMS.

This paper fulfills an identified need to examine the extent of lean adoption within the apparel industry of Bangladesh.

The purpose of this paper is to identify the radio frequency identification (RFID) strategic value attributes (RFIDSVAs) mechanism selections preferences and also integration of RFID tags with technology coordination tools (IRTWTCTs) alternatives ranking performance decisions in supply chain management (SCM). RFID-enabled techno-economic feasibility decisions are enhancing the SC visibility in apparel supply chains (ASCs). The RFIDSVAs mechanism selections have performed significant agility to strategic competitive advantages, namely, inventory visibility, multi-tags ownership transfer within trusted third party, etc.

Fuzzy analytical hierarchy process (FAHP) and FAHP-fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) approaches have been used to evaluate the quantitative assessment of RFIDSVA mechanisms selection decision based on weight priority orders and IRTWTCTs alternatives selection in ASC networks. The comparison of FAHP and FAHP-FTOPSIS approaches to evaluate the integrated framework develop in RFIDSVAs mechanisms and IRTWTCTs alternatives selection decisions in Indian multi-tier ASC networks.

The result found that the FAHP-FTOPSIS approaches have used to prioritizing the RFIDSVA mechanism selection weights and also identify the IRTWTCTs alternatives ranking preferences order in apparel SCM. The comparison between the FAHP and FAHP-FTOPSIS approach to quantitative assessments from RFIDSVA mechanisms and IRTWTCTs alternatives selection decisions, which enable them SC agility potential across multi-tier visibility in ASC networks. ASC stakeholders can be benefited by techno-economic feasibility decisions, RFID-enabled shop floor activities, multi-tags ownerships transfer in SCs and knowledge-based cryptography tags/items separation in SCs.

The research work has considered only five RFIDSVA mechanisms and also three integration of RFIDTWTCTs alternatives in multi-tier ASC. The strategic competitive advantages are achieved by RFID-enabled break-even tags price decisions and also techno-economic feasibility decision by contractual design multi-tier SC stakeholder’s involvements.

The pilot project study explores that the quantitative assessment decision has based on RFID-enable techno-economic feasibility in ASCs. Stakeholders can be benefited by inventory control of the financial losses, reducing the inventory inaccuracies and multi-tags ownership transfer within trusted third-party traceability in ASC networks.

This study explores the RFID-enabled apparel SC process and activities visibility (natural fibre’s fibre producer, fibre dyeing producer, yarn spinning producer, knitting and finishing producer).

While applications of TQM tools and techniques in health care service industry are widely advocated, determination of customer satisfaction and factors of dissatisfaction in the hospitals has become enormously important as the main ingredient of TQM. This paper aims at determining the elements of customer satisfaction, by collecting information through survey, using both written questionnaire and interview, and then statistically determining correlation between factors and elements of dissatisfaction. The study is performed at the Muang Petch Thonburi Private Hospital, located in Petchaburi province of Thailand. The aim of the management is to gather information on customer satisfaction levels and factors of dissatisfaction that need to be addressed and subsequently eliminated in the near future.

This paper aims to use an analytic hierarchy process (AHP) and combine this with the fuzzy theory to identify key indicators influencing English-medium instruction (EMI) in the shipping courses of Taiwan’s higher education.

Based on a literature review and expert interviews, an evaluation model with 4 indicators and 13 sub-indicators was developed. Questionnaire samples included university English teachers (eight), university shipping teachers (nine) and shipping practitioners (eight).

Using 25 effective samples, the results found that “teachers’ characteristics” is the most important indicator, followed by “syllabus design”, “university resources” and “students’ characteristics”. Such a finding could provide valuable teaching and managerial strategies for EMI design in both university and industry sectors.

Expert questionnaire targets have focused on university English teachers, university shipping teachers and shipping practitioners. Other related field experts could be further surveyed and compared in the future studies.

The findings of EMI indicators in the shipping courses could be used for course and material design by shipping companies, shipping authorities and universities. It is expected that these indicators could inform the provision of reasonable teaching resources allocation.

This paper provides important guidance for designing EMI in shipping courses. Related stakeholders will be able to understand important concepts regarding designing EMI courses.

First, EMI indicators in the shipping courses have seldom been studied in the past. They are, however, important for both shipping industries and education intuitions. Second, as its method, this paper adopts decision analysis quantitative tool to complement previous qualitative studies regarding EMI studies.

The purpose of this study is to investigate and test a six-factor model that explains considerable variation in patient satisfaction with tertiary care hospitals in India.

The data of this study were collected through a systematic randomly distributed questionnaire. A pre-tested and contextually prepared structured questionnaire was used to gather 436 responses from selected tertiary care hospitals located in Hyderabad. Descriptive statistics, confirmatory factor analysis and Cronbach’s alpha are used to measure the internal consistency of the scale using the computer software SPSS 20.0.

The findings of this study highlight six distinct dimensions of patient satisfaction and the relationships among them. Positive and significant relationships among the dimensions and patient satisfaction have been found.

One limitation to this study was the inclusion of the selected tertiary care hospitals in Hyderabad city and responses are collected from inpatients who were admitted in the surgical departments of these hospitals.

This instrument would enable patients to provide feedback to hospitals regarding the quality of health care received by them. Hospitals could use this feedback to analyze their performance, satisfaction and benchmark their performance against competitive hospitals. This study has directs implications for health care service providers to provide quality of services to patients, to maintain high level of patient’s satisfaction and re-intentions.

Few studies identified and examined the factors that influence patient’s perceived satisfaction. This study adds value by investigating what factors influences patient satisfaction among selected tertiary care hospitals located in Hyderabad.

Health care service is a widely researched area. Several established models and instruments measuring health care service quality (HCSQ) are available in the published academic literature. The objective of this article is to summarize this vast pool of available knowledge under the themes of HCSQ, its determinants and measurement strategies.

Sixty-three available published studies in peer reviewed journal combed in EBSCO and Google Scholar database have been examined and presented in exemplary literature review.

The findings have been segregated under the themes of HCSQ, its dimensions and determinants. It can be deduced from the findings that in spite of health care being a professional service, the user defined service quality takes center stage.

Rather than the seeker of care, the authors call for further research by taking a dyadic view of professional exchanges and including providers' perspectives of care in service quality evaluations as well.

The purpose of this paper is to conceptualize hospital service quality (SQ) into its component dimensions from the perspectives of patients and their attendants; and to analyze the relationship between SQ and customer satisfaction (CS) in government and private hospitals in India.

The study employs questionnaire‐survey approach to obtain the perceptions of patients and attendants. The instruments developed have been validated using tests for reliability, validity and uni‐dimensionality. Data collected have been analyzed by using statistical techniques such as bi‐variate correlation and multiple regression.

Patients and attendants treat the interpersonal aspect of care as the most important one, as they cannot fully evaluate the technical quality of healthcare services. The study also revealed that the hospital service providers have to understand the needs of both patients and attendants in order to gather a holistic view of their services.

Results of the study are dependent on the nature and number of respondents, i.e. the study has captured only the perceptions of service receivers – patients and attendants; and sample size of the study – 204 patients and 204 attendants – due to limited response rate and other operational constraints.

The present study allows the hospital administrators to benchmark their hospitals with those of their competitors by comparing the mean values of the dimensions of SQ. The study also allows a comparison of the performance of government and private hospitals in terms of the services offered.

The study conceptualizes hospital SQ as an eight‐dimensional framework. Further, it also presents the relationship between SQ and CS in Indian Government and private hospitals.

Abandonment poses a range of effects detrimental to the development of a country such as Nigeria. Restoring such infrastructure in a sustainable manner is a challenge identified in the literature. The aim of this study is to evaluate a novel approach – the technique for order preference by similarity to an ideal solution (TOPSIS) to identify the sustainability criteria for the redevelopment of abandoned infrastructure in Nigeria. The literature evidences use of TOPSIS in various development contexts, but not in the context of redevelopment of abandoned infrastructure.

This study explores the potential of TOPSIS in the sustainable redevelopment of abandoned infrastructure in Nigeria through a combination of a quantitative method of data collection – questionnaire – and a case study. The case study focuses on the abandoned Federal Government Secretariat in Lagos. One hundred and sixty-one (161) participants responded to the questionnaire. Data collected were analyzed using TOPSIS analytical technique.

Refurbishment is considered as the most sustainable alternative for the redevelopment of abandoned infrastructure. For criteria consideration, structural integrity and foundation categorized under the technological attributes ranked highest for refurbishment and conversion alternatives. Waste generation and prevention and profitability top the list for demolition and procurement respectively.

The social benefit of this study is to bring building considered to be an eyesore back into use.

The findings from the analysis orchestrates the importance of the built environment research concentrating on innovative frameworks for sustainable redevelopment of abandoned structures in the construction industry.

Pressure from competition; inflexible third-party reimbursements; greater demand from government, regulatory and certifying agencies; discerning patients; and the quest of healthcare entities for greater profitably place demands and high expectations for service quality impacting overall patient experience. Extending a prior multivariate, single-period model of varied medical practices predicting patient experience to a three-year time period to understand whether there was a change in overall assessment using data analytics. The paper aims to discuss these issues.

SEM was employed on a per year and aggregated, three-year basis to gain insights into qualitative psychometric constructs predicting overall patient experience and strength of the relationships.

Statistically significant differences were uncovered between years indicating the strength of the relationships of latent variables on overall performance.

Study focused on data gathered from a questionnaire mailed to patients who visited various outpatient medical clinics in a rural community with over 4,000 responses during the three-year study period. A higher percentage of female respondents over the age of 45 may limit the generalizability of the findings.

Practitioners can gain a broader understanding of different factors influencing overall patient experience. Administrative processes associated with the primary care provider are inconsequential. Patients are not as concerned with patient flow as they are with patient safety and health.

This research informs healthcare quality management of psychometrics and analytics to improve the overall patient experience in outpatient medical clinics.