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This study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured.

A qualitative study based on in-depth interviews with quality managers and executives was conducted to establish the CFFs for Q4.0.

The significant CFFs highlighted were resistance to change and a lack of understanding of the concept of Q4.0. There was also a complete lack of access to or availability of training around Q4.0.

The study enhances the body of literature on Q4.0 and is one of the first research studies to provide insight into the CFFs of Q4.0.

Based on the discussions with experts in the area of quality in various large and small organizations, one can understand the types of Q4.0 initiatives and the CFFs of Q4.0. By identifying the CFFs, one can establish the steps for improvements for organizations worldwide if they want to implement Q4.0 in the future on the competitive global stage.

The concept of Q4.0 is at the very nascent stage, and thus, the CFFs have not been found in the extant literature. As a result, the article aids businesses in understanding possible problems that might derail their Q4.0 activities.

Entering a new era of digital transformation, Industry 4.0 (I 4.0) promises to revolutionize the way business has been done, providing unprecedented opportunities and challenges. This study aims to investigate empirically and comparatively analyse the benefits, challenges and critical success factors (CSFs) of Industry 4.0 across four continents and developing and developed economies.

This study used an online survey to explore the benefits, challenges and CSFs of developed and developing economies. In order to ensure the validity of the survey, a pilot test was conducted with 10 respondents. A total of 149 participants with senior managerial, vice-presidential and directorial positions from developed and developing economies spanning four continents were invited to take part in the survey.

The study ranks benefits, challenges and CSFs across economies and continents. Further, the benefit of Industry 4.0 helping to achieve organizational efficiency and agility differed across the developing and developed economies. Furthermore, the benefit improves customer satisfaction significantly differed across continents; in terms of challenges, Employee resistance to change had a higher proportion in developing economies. The future viability of I 4.0 also differed across the continents. Regarding CSFs, there was no difference across the developing and developed economies. Finally, change management and project management vary across the continents.

This study contributes to a balanced understanding of I 4.0 by providing empirical evidence for comparative analysis. Moreover, it extends the concept of resource dependence theory to explain how organizations in developing economies and developed economies deploy resources to manage external condition uncertainties to implement I 4.0. Furthermore, this study provides a structural framework to understand the specific benefits, challenges and CSFs of implementing I 4.0, which can be utilized by policymakers to promote I 4.0 in their economies or continents.

To the best of the authors’ knowledge, no studies have empirically demonstrated the comparative analysis of benefits, challenges and CSFs across economies and continents and distinguish an original contribution of this work.

The purpose of this study is to explore how Industry 4.0 (I40) technologies support workers' engagement in soft total quality management (TQM) practices for organisational performance.

The authors conducted a multiple case study of six Italian manufacturing organisations that operate with I40 production and implement TQM practices. The authors concentrated on the relationship between I40 technologies and soft TQM aspects.

I40 technologies provide two forms of engagement with workers. Workers can act as machine supervisors and expert assembly operators. Organisations use five soft TQM practices to involve and develop workers for TQM that vary according to automation levels. The five soft TQM practices are top management design around workers, incremental trials with I40 technologies, worker empowerment, I40 sociotechnical collaboration and individual feedback systems.

In the literature that focusses primarily on how I40 technologies support the hard side of TQM by creating a data-driven and automated quality management system, the authors illustrate how the workforce can be engaged in I40 with five soft TQM practices to improve organisational performance. Thus, the authors complement the theory of hard and soft TQM aspects for I40 production systems.

Generation Z (Gen Z) is particularly influenced by digital technologies as this cohort is found to have grown up with technology forming the pivot of most of their routine activities. Owing to the huge potential of this market, online retailers are keen to build and sustain their loyalty. Shopper’s loyalty varies across age, gender, income, service quality perceptions, etc. of customers. This study aims to show that it is necessary to identify distinct consumer segments of these shoppers which can enable online retailers to fine tune their marketing programs and increase program effectiveness.

Using a sample of 700 students pursuing Masters in Business Administration (553 usable responses) from two state universities in North India, data have been collected with reference to accessories, clothes, books and electronic goods. SPSS and AMOS have been used to analyse data using cluster analysis and multinomial logit (MNL) regression analysis.

The results of cluster analysis reveal that these shoppers can be clustered into three segments, namely disloyal shoppers (DS), staunch loyals (SL) and vacillating shoppers (VS) on the basis of their online retail loyalty. The odds ratio reveals that less frequent online shoppers are less likely to be VS or DS than being SL shoppers. People who experience flow while surfing online shopping websites are 3.260 times more likely to be VS than being SL. Further, service quality decreases the odds of a shopper acting as a VS in comparison to SL shopper by 0.113.

These findings would help marketers identify strategies that can transform the VS or the disloyal ones into loyal and profitable segments. The present study is limited to Gen Z shoppers and so results may vary for customers belonging to other age groups.

The study contributes to existing literature by understanding the antecedents which contribute to online retail loyalty of distinct segments of young shoppers.

This study investigates the overall publications of The TQM Journal since its inception with an aim to identify the trending topics and emerging trends.

The quantitative bibliometric and social network analysis techniques composed of keywords, co-occurrence network and keyword cluster detection are employed to conduct the investigation. A total of 968 papers published in The TQM Journal till August 2022 were sourced from the SCOPUS database to conduct the analysis.

The research identifies five themes from the published articles namely, customer service experience and satisfaction; quality management and organizational performance; quality measurement tools and models; quality and sustainable development; and quality and competitive advantage. The study also identifies the most significant articles, authors and countries published in the journal and shows that Industry 4.0 is the trending topic and quality 4.0 the new emerging trend in the journal.

The analysis is carried out only for papers published in The TQM Journal till August 2022; those after this month are not included in the analysis. The outcome of this study is dynamic in nature and subject to change over time as more papers, citations and collaborations are added to the list.

This is the first article of its kind to explore The TQM Journal publications with an aim to identify trending and emerging topics and also the most valuable authors based on the number of publications and citations through the bibliometric analysis.

Although decades of research on transformational leadership have resulted in a firm understanding of its consequences, the impact of environmental-conscious transformational leader on positive employee outcomes and underlying mechanism in environmental leadership–outcome relationship is not well examined. This study aims to examine a moderated mediation model of effects of environmental consciousness (EC) on the mediating role of perceived corporate social responsibility (PCSR) in transformational leadership (ETFL) and pro-environmental behavior (PEB) relationship in energy-intensive industries.

In total, 320 self- reported questionnaires were collected from employees working in different Indian organizations across different sectors. All measures used in this survey were adopted from well-established scales. To minimize the effects of common method variance arising, the survey questionnaires were administered to the participants in two stages (with a gap of 14 days), with antecedents separated from outcomes. Partial least squares (PLS) structural equation modeling and SPSS-process macro were applied for testing the hypothesized model.

The results revealed that ETFL positively correlated with PEB. The hypothesized moderated mediation condition was supported as the results suggest that PCSR mediated the ETFL–PEB relationship, and EC moderated this mediating pathway; i.e. indirect effects of ETFL on employee PEB via PCSR were stronger for employees with high EC.

In particular, this research provides implications for training and development of leaders. The study indicates the importance of environmental-conscious leaders in enhancing perceived PCSR and PEB of employees. Likewise, the finding found that PCSR mediates the ETFL and PEB relationship. Moreover, the indirect effect of ETFL on PEB through PCSR moderated by EC highlights the importance of managing and ensuring effective leader–employee relationship that facilitates ecofriendly initiatives.

The study is based on the data collected from energy-intensive industries. Thus, it provides insights into the role and importance of green leadership and green behavior in energy industries. It is one of the few studies in the energy-intensive industry in India that help the researcher to delve into future research on the same.

In pursuit of affordable and nutrient-rich food alternatives, the symbiotic culture of bacteria and yeast (SCOBY) emerged as a selected food ink for 3D printing. The purpose of this paper is to harness SCOBY’s potential to create cost-effective and nourishing food options using the innovative technique of 3D printing.

This work presents a comparative analysis of the printability of SCOBY with blends of wheat flour, with a focus on the optimization of process variables such as printing composition, nozzle height, nozzle diameter, printing speed, extrusion motor speed and extrusion rate. Extensive research was carried out to explore the diverse physical, mechanical and rheological properties of food ink.

Among the ratios tested, SCOBY, with SCOBY:wheat flour ratio at 1:0.33 exhibited the highest precision and layer definition when 3D printed at 50 and 60 mm/s printing speeds, 180 rpm motor speed and 0.8 mm nozzle with a 0.005 cm³/s extrusion rate, with minimum alteration in colour.

Food layered manufacturing (FLM) is a novel concept that uses a specialized printer to fabricate edible objects by layering edible materials, such as chocolate, confectionaries and pureed fruits and vegetables. FLM is a disruptive technology that enables the creation of personalized and texture-tailored foods, incorporating desired nutritional values and food quality, using a variety of ingredients and additions. This research highlights the potential of SCOBY as a viable material for 3D food printing applications.

This study aims to use a multi-stage scale development process to identify the dimensions of philanthropic corporate social responsibility (PCSR) in India’s fast-moving consumer goods (FMCG) sector.

The authors conducted a study to develop a comprehensive, reliable and valid scale for measuring PCSR based on the customer perception of FMCG product manufacturers. This research adopted a comprehensive and detailed scale development process using multi-stage sampling for scale development. This final study was conducted on a sample of 402 respondents from the city of Jaipur, India.

The results have underlined the multi-dimensional aspect of PCSR; these dimensions are: altruism towards society, volunteering for local community development, generosity towards ecology, benevolent spirit and problem-solving charity.

This study gives valuable insights into philanthropic scale development in the FMCG sector that can immensely help domestic and international marketers to formulate CSR as a strategy. This research provides insights into a wide range of scales which can be base for future research studies that aim to explore different organizational settings.

PCSR and CSR are important for developing strategies for sustainable businesses across the globe. Dimensions of PCSR will be useful for practitioners and researchers in developing second-order constructs for future studies.

The purpose of this study is to examine the critical failure factors (CFFs) linked to various types of process improvement (PI) projects such as Kaizen, Lean, Six Sigma, Lean Six Sigma and Agile. Proposing a mitigation framework accordingly is also an aim of this study.

This research undertakes a systematic literature review of 49 papers that were relevant to the scope of the study and that were published in four prominent databases, including Google Scholar, Scopus, Web of Science and EBSCO.

Further analysis identifies 39 factors that contribute to the failure of PI projects. Among these factors, significant emphasis is placed on issues such as “resistance to cultural change,” “insufficient support from top management,” “inadequate training and education,” “poor communication” and “lack of resources,” as primary causes of PI project failures. To address and overcome the PI project failures, the authors propose a framework for failure mitigation based on change management models. The authors present future research directions that aim to enhance both the theoretical understanding and practical aspects of PI project failures.

Through this study, researchers and project managers can benefit from well-structured guidelines and invaluable insights that will help them identify and address potential failures, leading to successful implementation and sustainable improvements within organizations.

To the best of the author’s knowledge, this paper is the first study of its kind to examine the CFFs of five PI methodologies and introduces a novel approach derived from change management theory as a solution to minimize the risk associated with PI failure.

There is increasing interest in the connection between Industry 4.0 (I4.0) and operational excellence approaches; however, studies on the integration between Six Sigma (SS) and I4.0 have been absent from the literature. Integration with I4.0 technologies can maximize the positive effects of SS. The purpose of this study is to understand what types of relationships exist between SS and I4.0 and with I4.0's technologies, as well as the benefits derived from this integration and future directions for this field of study.

A Systematic Literature Review (SLR) was carried out to analyze studies about connections between I4.0 technologies and SS. SLR analyzed 59 articles from 2013 to 2021 extracted from the Web of Science and Scopus databases, including documents from journals and conferences.

The SLR identified relationships between SS and several I4.0 technologies, the most cited and with the greatest possibilities of relationships being Big Data/Big Data Analytics (BDA) and Internet of Things (IoT). Three main types of relationships were identified: (1) support of I4.0 technologies to SS; (2) assistance from the SS to the introduction of I4.0 technologies, and, to a lesser extent; (3) incompatibilities between SS and I4.0 technologies. The benefits are mainly related to availability of large data sets and real-time information, enabling better decision-making in less time.

In addition, the study can help managers to understand the integration relationships, which may encourage companies to adopt SS/Lean Six Sigma (LSS) in conjunction with I4.0 technologies. The results also drew attention to the incompatibilities between SS and I4.0 to anticipate potential barriers to implementation.

The study focuses on three previously unexplored subjects: the connection between SS and I4.0, the existing relationships with different technologies and the benefits resulting from the relationships. In addition, the study compiled and structured different types of relationships for SS and I4.0 and I4.0's technologies, identifying patterns and presenting evidence on how these relationships occur. Finally, exposes current trends and possible research directions.