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A recent study reported Black women are frequently labeled unprofessional due to hair presentation, 1.5 times more likely to be sent home citing “unprofessional hair,” and 80% likely to alter their natural hair texture (Dove, 2019) through chemicals or heat to fit into organizational norms. Meanwhile, conversations about hair discrimination and bias remain whispers in The Ivory Tower. Despite this study, contemporary research regarding higher education and the politics of Black women, Black hair, and hair texture is sparse. The lack of representation in higher education organizations and lack of literature suggest that Black, higher education professional women are at risk of experiencing chilly work environments that could impact belonging, career trajectory, and earning potential. Some individuals outside the African Diaspora may consider the notion of a physical characteristic, like hair, to be insignificant, let alone a salient identity for Black women. However, my experience as a higher education practitioner and scholar states differently. I assert higher education institutions continue to perpetuate and reproduce oppressive dynamics that specifically target Black women and Black hair when hair discrimination and bias are left out of the conversation to address diversity and inclusion concerns. This chapter introduces a historical context of Black hair discrimination; explores my lived experiences navigating Black hair, hair texture, and professionalism in higher education; outlines challenges for higher education institutions and prioritizes Black women alongside diversity and inclusion efforts.

This study aims at presenting deeper insights regarding the understanding and application of the quality costs (CoQ) in the automotive manufacturing industry. The empirical research included three general determinants: reasons for, difficulties during and benefits from implementing quality costs, as well as two specific determinants: measuring and evaluating quality cost elements.

The empirical research methodology employs the expert evaluation method – the Delphi method, using a survey questionnaire comprising a total of 200 questions, and answered by 9 companies.

The survey results showed that companies do recognize the reasons for implementing quality costs as a need arising from the quality management standards, the lack of knowledge of quality costs by employees and management as the biggest difficulty while the biggest benefit includes the quality costs enhance the company competitiveness. The costs competence and qualification, the quality management system costs, the costs for improvement, the production control costs, the input control costs, the new measuring and control equipment calibration costs, the costs related to scrap, repairs and product finishing are the most significant elements of the quality costs.

This study is limited by the small number of surveyed companies from the automotive cluster.

The proposed quality costs model provides to the management to conceive CoQ elements as possible drivers in the improvement process of product quality. The structure and the nature of the CoQ elements is expected to advance the process of detailing the quality costs elements.

The novelty of this paper refers to development of a generic quality cost model, whose relevance is confirmed by the structuring of the model with elements published in literature and validating in research companies.

This study aims to examine the relationship between the three dimensions of intellectual capital (IC), i.e. human, social and organizational, and supply chain resilience (SCR) through testing a primary (mediation) and competing (moderation) model.

Structural equation modelling and regression analysis were used to test the mediation and moderation models using survey data from Chinese manufacturers.

Dual processes in which human, social and organizational capitals build SCR are revealed: all three IC components act as knowledge stocks for informing each other, and both organizational and social capitals act as intervention mechanisms that draw knowledge resided within individuals and collectively deploy/enrich such knowledge for responding to supply chain disruptions.

The empirical results provide useful and timely guidance to managers on how to leverage knowledge resources to develop resilience, which is particularly valuable in the current volatile environment.

By empirically testing both the mediation and moderation models, this study provides crucial evidence for advancing the understanding of how the three IC components may be managed to achieve SCR, which is of critical importance for addressing the many unprecedented disruptions facing global supply chains and economies.

Basing himself on the premise that present economic progress cannot follow the ‘Business as usual paradigm’ and hope for continued and unlimited progress, the author holds that we need to look into the larger dimensions of growth and development, which include social, environmental and other complex factors. So in this chapter, the author makes some pertinent suggestions for a sustainable growth model inspired by green growth and degrowth.

The first section evaluates the salient features of green growth and its drawbacks. It is followed by a discussion on the notion of degrowth, with its challenge to change the direction of growth (economic, ecological, social and cultural), without which human civilisation, as we know it today, may not survive. Finally, in the concluding chapter, based on these two notions of green growth and degrowth, an all-inclusive and sustainable regrowth model is propounded.

By creating an awareness of the need to shift development goals and Corporate Social Responsibility (CSR), the author argues that we could use economic regrowth strategically and responsibly to make the world more sustainable and viable. Responsible corporates will make their contribution to such an organic, resilient and sustainable regrowth and their CSR activities could be the starting point for this change, without which humanity's future is seriously threatened.

Finally, the author acknowledges that humanity has profited from the tremendous technological and economic progress we have made in the last four centuries, learnt from its mistakes and are ready to reorient ourselves individually and collectively towards a sustainable economic regrowth.

Purpose: This chapter aims to identify and evaluate the various components of business model disclosures in an Integrated Report and ascertain how the notion of business model is perceived among practitioners.

Need for the Study: According to previous research, the International Integrated Reporting Council’s (IIRC) objective of improving corporate reporting by encouraging organisations to disclose their business model has not found the desired recognition. Therefore, the study elaborates on the various components of business model reporting and their implications on corporate reporting in general.

Methodology: A review of literature was conducted to identify and analyse research based on business models and their disclosures in integrated reporting. A narrative review was undertaken for selected literature.

Findings: The findings suggest that most large-sized organisations use integrated reporting for impression management and are not inclined to disclose too much about their business models for fear of competition. There is still a lack of clear understanding of what a business model should entail.

Practical Implication: This study adds to the research on business model disclosures in integrated reporting. Voluntary disclosure and a better understanding of such disclosures will prepare organisations of all sizes and industries for an event when Integrated Reporting becomes statutory.

The main purpose of this study is to investigate Ishikawa’s statement that “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” and explore its validity within the health-care sector. The study will analyze the usage of the 7 QC tools in the health-care service sector and the benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in this sector.

In order to evaluate Ishikawa’s statement and how valid his statement is for the health-care sector, an online survey instrument was developed, and data collection was performed utilizing a stratified random sampling strategy. The main strata/clusters were formed by health-care professionals working in all aspects of health-care organizations and functions. A total of 168 participants from European health-care facilities responded to the survey.

The main finding of this study is that 62% of respondents were trained in the 7 QC tools. Only 3% of participants in the health-care sector perceived that the seven tools of QC can solve above 90% of quality problems as originally claimed by Dr Ishikawa. Another relevant finding presented in this paper is that Histograms, Cause and Effect diagrams and check sheets are the most used tools in the health-care sector. The least used tools are Stratification and Scatter diagrams. This paper also revealed that the 7 QC tools proposed by Dr Ishikawa were most used in hospital wards and in administration functions. This work also presents a list of CSFs required for the proper application of the 7 QC tools in healthcare.

This research was carried out in European health-care facilities – and there is an opportunity to expand the study across global health-care facilities. There is also an opportunity to study the use of the tools and their impact on hospital performance using the Action Research methodology in a health-care organization.

To the best of the authors’ knowledge, this is the very first research within the health-care sector that focused on investigating the usage of all the 7 basic tools and challenging Dr Ishikawa’s statement: “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” from his book “What is Quality Control?” The results of this study represent an important first step toward a full understanding of the applicability of these tools in the health-care sector.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

Drawing upon the framework of social exchange theory, this study investigated the influence of work-life balance, procedural justice and distributive justice on job satisfaction and turnover intention among Vietnamese millennials.

Employing a quantitative research method, the authors collected a sample of 258 millennial participants in Vietnam. Utilizing the method of multiple regression analysis, the collected data were rigorously examined.

The results showed that job satisfaction is negatively related to the turnover intention of the millennial generation in Vietnam. Distributive justice is a stronger predictor of job satisfaction than procedural justice. Of particular note, the study revealed an intriguing result: work-life balance does not have a significant influence on job satisfaction among millennials.

Leveraging insights from national cultural theories, the authors' findings provide some insightful explanations of what drives millennials in Vietnam to consider leaving their organizations.

The study provides some insights for policymakers in Vietnam and other similar developing countries to reform their approach at managing the millennial generation.

The research addresses the existing gap in literature by delving into the underlying factors driving the propensity of Vietnamese millennials to frequently switch jobs.

Based on the theory of trust and cost-benefit perspective, this paper examines the relationship between citizens’ trust and their digital attitudes by considering the mediating effects of performance expectancy and perceived risk, as well as the moderating effect of media use.

The city digital transformation in Shanghai is chosen as the case in this study. 466 questionnaires were collected through a survey, with Structural Equation Modeling to test the hypotheses in AMOS.

Citizens’ trust of government and trust of technology has no significant direct effect on their digital attitudes. However, performance expectancy mediates between the trust of government and digital attitudes, and perceived risk mediates the effect of trust of technology on attitudes. The use of social media significantly moderates the association between trust of technology and citizens’ attitudes.

Exploring why citizens shape supportive attitudes toward digitalization is critical to achieving digital governance goals in developing countries, especially large cities where digital transformation is accelerating. The originality lies in using cost-benefit analysis as a perspective and media use as a moderator to examine the mechanisms of citizens’ trust and digital attitudes.

This study investigates whether and how the service quality of artificial intelligence (AI) chatbots affects customer loyalty to an organization.

Based on the sequential chain model of service quality loyalty, this study first classifies AI chatbot service quality into nine attributes and then develops a research model to explore the internal mechanism of how AI chatbot service quality affects customer loyalty. The analysis of survey data from 459 respondents provided insights into the interrelationships among AI chatbot service quality attributes, perceived value, cognitive and affective trust, satisfaction and customer loyalty.

The results show that AI chatbot service quality positively affects customer loyalty through perceived value, cognitive trust, affective trust and satisfaction.

This study captures the attributes of the service quality of AI chatbots and reveals the significant influence of service quality on customer loyalty. This study develops research on service quality in the information system (IS) field and extends the sequential chain model of quality loyalty to the context of AI services. The findings not only help an organization find a way to improve customers' perceived value, trust, satisfaction and loyalty but also provide guidance in the development, adoption, and post-adoption stages of AI chatbots.