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Institutional economics at the societal level focuses on the examination of interpersonal and impersonal economic, political and social institutions within a given polity and how such institutions might change and evolve over time. Such examination is critical to both international business scholars and practitioners if they are to successfully navigate variations in the rules of the game in international trade and commerce. Whilst institutional economics offers an immense body of literature on institutions, it offers surprisingly few theoretical or conceptual tools for empirical analysis. This chapter discusses five extant frameworks and proposes an ontological theoretical framework developed from interdisciplinary sources to underpin extant frameworks and thereby guide international business researchers in designing more effective research instruments for examining institutional change across and between cultures.

Jagdish N. Bhagwati is professor of economics and law at Columbia University and one of the most prolific scholars on globalization. He has a BA in economics from Cambridge and a PhD in economics from the Massachusetts Institute of Technology. He has served as an external advisor to the director general of the World Trade Organization, as a special policy advisor on globalization to the United Nations, and as an economics policy advisor to the director general of the General Agreement on Tariffs and Trade. Before moving to Columbia University he was professor at the Massachusetts Institute of Technology. Professor Bhagwati currently serves on the Academic Advisory Board of Human Rights Watch (Asia) and on the board of scholars of the Centre for Civil Society. He is senior fellow of the Council on Foreign Relations.

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.

In the last few years, signs of material excess by organizational and political leaders have often evoked public outcry. The paper aims to argue that there is insight to be gleaned from drawing together strands from the leadership literature with the literatures on moral economy and conspicuous consumption. The premise is that views of leader conspicuous consumption are shaped by their moral economy, the interplay between moral attitudes and economic activities. The paper seeks to juxtapose tales of Cleopatra and Antony's display of wealth with current media accounts to contribute to the leadership literature on ethics, specifically its intersection with power and narrative representation.

The paper adopts an analytic approach, with an international orientation and an interdisciplinary perspective. It acknowledges the role of narrative representation in shaping leadership and the psychological ambivalence with which societies approach their leaders' practices, focus here on desire-disdain and discipline-decadence. Cleopatra and Antony's conspicuous consumption generated a legacy of condemnation for millennia. Drawing from the retellings of their story, four moralizing representations – by Plutarch, Shakespeare, Sarah Fielding and Hollywood – are analyzed and juxtaposed with current media accounts. Altogether, the paper combines the interest in leadership across history with moralizing perspectives on the display of wealth by leaders.

The intersection of the literatures on leadership, moral economy and conspicuous consumption draws together several dynamics of relevance to leadership. First, evaluations of the display of wealth on the part of a leader are contextual: they change across time and place. Second, interpretations of conspicuous consumption involve aesthetic judgment and so sit at the nexus of morality and taste. Third, following tragedies, tales of leader conspicuous consumption offer critics another knife to dig into the fallen tragic hero. Fourth, views of conspicuous consumption are gendered. Last, conspicuous consumption by leaders attracts condemnation through support for social responsibility and sustainability.

The paper establishes a novel articulation between the literatures on leadership, moral economy and conspicuous consumption.

This study aims to investigate the busy season contagion effects on other clients of the Big 4 auditor’s local office associated with the non-timely (NT) filing(s) by large accelerated filer (LAF) client(s) of the office. Specifically, the authors examine the influence such events have on the audit quality and timeliness of other clients of that office.

Using panel data of annual NT filings of LAF clients between 2006 and 2019, the authors apply the ordinary least squares regression technique to model audit reporting lag (ARL) and the logistic regression technique to model the probability of restatements.

Controlling for audit firm, industry and year-fixed effects, the authors find that a LAF NT filing reduces audit quality and audit timeliness of other clients of the office, as measured by restatement risk and ARL. The impact on ARL is most pronounced on the medium and small clients within the office. The deteriorated audit quality is observed for medium clients.

The results of this study have practical implications for auditors and regulators. They reveal the contagion effect in the auditor’s local office with the NT LAF client. The main limitation of the study is the lack of staffing utilization data to allow for drawing conclusions on causality.

To the best of the authors’ knowledge, this is the first study to document the contagion effect of NT filings of LAF clients conducted at the auditor’s local office level.

This paper aims to unearth the essential components of Six Sigma for successful deployment and sustainment of service quality in four different organizations in the United Arab Emirates (UAE). More specifically, the paper is intended to determine the motivation to apply Six Sigma, Voice of Customer, Key Performance Indicators (KPIs), Critical-to-Quality (CTQ), readiness factors, Critical Success Factors, sustainment measures, tools and techniques used, challenges/barriers and performance impact on the company.

An exploratory research methodology with multiple case study analyses was adopted to determine the answers to the research objectives. Four case studies from different service processes of four companies were analyzed. The case studies were collated from these companies via a case study protocol with pre-defined criteria.

The analysis shows that service operation improvement projects are primarily dependent on the voice of the internal customer, with return on investment in savings as the KPI of the process. Most organizations prefer cycle time and errors as the CTQs in the Six Sigma projects. Even novice users can effectively apply the Six Sigma methodology with external experts’ assistance, mentoring and interventions. Across the case studies, it is observed that the projects were successfully deployed due to the support of top management leadership, effective communication and cross-functional teams. Employee resistance to change is the common barrier observed during the case study analysis. Eventually, in all the four case studies, Six Sigma is executed with standard tools and techniques within the define, measure, analyze, improve, control (DMAIC) approach.

The present study’s findings cannot be generalized due to the limited number of case study analyses in different ecosystems in the UAE. The authors would like to analyse and report more case studies in service quality improvement through the Six Sigma methodology to comprehend and develop a generic roadmap for the deployment of Six Sigma in the UAE service industry.

The study’s findings provide insights into commonalities and differences between the essential factors of Six Sigma deployment and sustainability in UAE companies.

The study results might help the policymakers and key decision makers in UAE and other countries understand the effectiveness of Six Sigma in service quality improvement with its essential factors for deployment.

The research explores the shift to Quality 4.0, examining the move towards a data-focussed transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: First, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Second, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector.

Employing Interpretive Structural Modelling and Matrix Impact of Cross Multiplication Applied to Classification, the authors probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorized according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology–Organization–Environment (TOE) framework.

The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organizational barriers is marginal, contrary to theoretical postulations emphasizing their central significance in Quality 4.0 assimilation.

This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards.

This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between “lack of standards for Quality 4.0” and “lack of standardized BDA tools and solutions,” providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0.

From two bodies of literature, the purpose of this paper is to generate theory for an updated conceptual model of drivers of Six Sigma project success by integrating extant psychology theory and empirical general team project results with a history of eight recent Six Sigma projects and extant Six Sigma literature. The new theory emphasizes the need for project leads to process information simultaneously, as well as develop prioritization abilities. Also, the new theory reverses the relations of three existing theories from general team composition theory. The new theory suggests that Six Sigma belt trainers should focus more on soft skill development.

A literature review of the two bodies of literature previously mentioned.

Eight new propositions related to the success of Six Sigma projects are developed. Further, two new constructs, “project leader simultaneity of thought” and “prioritization ability” are suggested for further investigation.

The authors suggest a few practical implications: first a greater emphasis on soft skill training would be beneficial in Six Sigma belt training. A second new point of emphasis in belt training is developing greater internal locus of control in belt candidates. Third, the authors suggest that during the team member selection process a diversity of backgrounds would be beneficial to Six Sigma project success.

This paper aims to contribute to a developing literature on continuous improvement (CI), enabled by Lean Six Sigma (LSS), in higher education institutions (HEIs). It reports on the key learning points arising from the initial steps taken by an Irish university on its CI journey.

A case study strategy was adopted following a participatory research approach. This approach supports reflexivity and also provides access to all relevant documentation and staff within the case university. Thematic analysis was supported by data reduction and display techniques.

The introduction of a LSS approach rather than a reliance on lean alone introduced a structured methodology (DMAIC) that supported simplification of a number of administrative processes. A number of specific improvements were achieved including: Cycle time and cost reduction; customer or employee satisfaction; and rework and error reduction. The findings support the importance of the Readiness Factors as identified by Antony (2014), with particular insight into the role of senior and middle management, the impact of training and deployment of expertise.

This paper is based on an ongoing, longitudinal, empirical study of a single case study in Ireland.

This paper tracks the development of CI in a HEI in a longitudinal manner and adds to the emerging the literature in this area. The paper evaluates the role of management at various levels, analyses the use of LSS tools and techniques and evaluated the role of training and capacity building. Implications for Management are shared including: design and role of training programmes, role of champions at various organisational levels, including key functional areas and sustaining momentum.