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This study draws on affective events theory (AET) to propose and examine a sequential process in which expatriate employees’ perceptions of psychological contract (PC) breaches impact their emotions (feelings of violation), which in turn influence their attitudes and ultimately their behaviors.

Expatriate employees (n = 228) working in the United Arab Emirates participated in an experiment with four employment scenarios created by manipulating transactional and relational PC promises. Participants, randomly assigned to each scenario, responded as if in a real job situation. Data analysis was performed using MANCOVA and structural equation modeling (SEM).

Employing an experimental design, the findings offer causal evidence that supervisors’ failure to fulfill employment promises adversely impacts expatriate employees’ perceptions of PC breaches, emotions, job satisfaction, organizational commitment, turnover intentions and performance. Consistent with the AET, the findings demonstrate that PC breaches impact expatriate employees’ emotions, which subsequently influence their attitudes and ultimately affect their behaviors.

The study provides recommendations for organizations and managers to improve relationships with expatriate employees and suggests actions to lessen the adverse effects of PC breaches.

To our knowledge, this is the first study that examined the sequential process suggested by the AET in the context of PC and expatriation, establishing that PC breaches impact expatriate employees’ emotions, which in turn affect their attitudes and ultimately their behaviors.

This study aims to analyze the emergence of a new structural configuration of globalization, with the 2008 global financial crisis serving as the first symptom of this change. By introducing the “Evolutionary Structural Triptych” (EST), this research seeks to understand the basic components of the new evolutionary trajectory of global capitalism post-2008. The study places emphasis on its interdependent and coevolving economic, political and technological dynamic facets.

This research introduces the EST framework, critically contrasting it with conventional understandings in international political economy (IPE) to provide a comprehensive and structured analysis of global developments after 2008. It traces the phases of global capitalism since Second World War, examines the central dynamic dimensions during each evolutionary phase, identifies the basic patterns and delves into the foundational elements of the emerging era of globalization.

The analysis reveals three key findings. First, the emerging restructured globalization indicates a need for a new balance in the contemporary world system; however, this balance cannot be achieved within the architecture of the old system. Second, the new era of globalization necessitates a re-equilibrated approach across different dimensions of geopolitical stability, economic development and innovation. This approach should emphasize sustainability, adaptability, resilience and inclusivity and lean toward responsible, open and organic innovation models for a revamped global structure. Third, while many current IPE theories tend to compartmentalize aspects of the new globalization, the EST advocates for a holistic perspective that integrates politics, economics and technology within the framework of global trends. This perspective bridges existing gaps and offers actionable insights for a dynamic and inclusive global future.

The paper presents the EST as a novel analytical instrument in the realm of the modern IPE. This tool uniquely places technology and innovation at the forefront, parallel to economic and political spheres, to comprehend the progression of globalization. In doing so, it highlights the intertwined relationship of these structural dimensions in shaping the future of the subject of the IPE.

This paper aimed to examine the serial mediating effect of psychological contract violation (PCV) and burnout in the relationship between psychological contract breach (PCB) and work engagement. Also, the role of PCV as a mediator was tested in the relationship between PCB and work engagement.

Data were collected from 536 employees working in various organizations of the manufacturing, consulting, banking, healthcare and mining sectors situated across India using time-lagged surveys. The analysis was carried out using IBM SPSS Statistics Version 22 and IBM SPSS Amos Version 24 software.

We found positive relationships between PCB and PCV, and PCV and burnout; negative relationships between PCB and work engagement, PCV and work engagement, and burnout and work engagement. PCV partially mediated the relationship between PCB and work engagement. PCV and burnout serially mediated the relationship between PCB and work engagement.

The study tested the effect of PCV generated due to PCB on burnout and work engagement. Also, the study embarks on a unique concept of testing a serial mediating effect of PCV and burnout in the relationship between PCB and work engagement. Furthermore, we tested the mediating effect of PCV in the relationship between PCB and work engagement. Managerial implications for preventing PCB, PCV and burnout are discussed in the article.

This study aims to analyze the narratives of growth during the initial stages of development of the medical device technological innovation system (TIS). This paper used micro/nanofluidic-based point-of-care testing (mnPOCT), a breakthrough technology in the health-care sector.

This study presents a framework that includes measures of knowledge breadth and sharing mechanisms based on cognitive and actor-based networks. The framework integrates bibliometric, network and statistics-based approaches with a focus on the first decade of mnPOCT development.

In addition to the typical patterns of technological emergence, the mnPOCT sector exhibits distinctive characteristics. This paper observed significant scientific content and a high geographic concentration. Although small- and medium-sized enterprises, particularly startups, detonate knowledge development, large companies play a subtle yet impactful role as innovation mediators. Interfirm alliances are sparse, reflecting the complementarities between startups and large firms throughout the innovation value chain. These alliances show a significant correlation with SME knowledge creation.

This study provides researchers and practitioners with guidelines for assessing the dynamics of the growth of technologies in the earliest stages of growth through knowledge and implications for research strategy toward the development and deployment of effective system interventions.

The study of formative TISs presents challenges because of the nascent characteristics and uncertainties surrounding emerging technologies. Current discussions on the narratives of growth of emerging TISs are limited to broad descriptions, which hinder understanding of these formative stages. This study offers a unique approach to assessing the initial stages of technological evolution. Moreover, it contributes to the existing literature by providing guidelines for managing new technologies for R&D researchers and practitioners.

Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria.

The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions.

Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry.

Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success.

This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field.

Most African countries operate large government sizes but with little corresponding economic outcomes. Institutional economics however, show that strong institution is fundamental in promoting economic growth. This study examines the linkages between government size, institutional quality and economic welfare in Africa.

This study deploys the System Generalized Method of Moments estimation strategy on panel data of 52 African economies from 2000–2018.

The result shows that government size has a negative impact on economic welfare, while institutional quality has a positive impact on economic welfare. The interaction of government size and institutional quality shows a positive impact on economic welfare, signifying synergy and complementarity. Thus, strong institutions counteract the adverse effects of large government size on economic welfare.

To promote human development and economic welfare, and attain key Sustainable Development Goals such as good health and well-being, quality education, decent work and economic growth, African policy makers need to keep their government sizes at optimal levels and promote strong institutions.

This paper provides first-hand empirical evidence of the relevance of institutional quality in counteracting the adverse influence of large government size in Africa. It determines the thresholds of government size and uses a composite index as proxy for same. In addition, this study uses the World Governance Indicators and the Fraser Institute Economic Freedom Index as alternative measures of institutional quality and Gross Domestic Product per capita and Human Development Index as proxies for economic welfare.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2024-0075

To investigate the mediating role of work engagement (WE) between job autonomy and cyberloafing and the moderating effect of mindfulness on the linkage between work engagement and cyberloafing.

This study was conducted using an online questionnaire survey. Data were gathered from 266 full-time working professionals in India. Hierarchical regression analysis and, SPSS PROCESS version 4.0 (model 14) were employed to analyze the mediated moderation effect.

Results showed that job autonomy reduced cyberloafing of employees through WE and the mediation effect was stronger when employees were high on mindfulness.

Results indicate that job autonomy and mindfulness have a considerable impact on employee cyberloafing behavior. Organizations seeking to reduce employee cyberloafing behavior could benefit by considering job autonomy as well as supporting employee mindfulness.

This study adds to the understanding of cyberloafing antecedents particularly, the role of job autonomy and WE. Additionally, it examines how mindfulness self-regulates with regard to cyberloafing and contributes to the growing body of mindfulness research and its impact on counterproductive behavior at work.

Evaluating and exploiting an opportunity is an iterative process, and one of the triggers for the re-evaluation is the feedback received from stakeholders. Most of the time, the feedback comes in the form of harsh comments, criticisms and rejections, which can cause shame. There is also a lack of studies on the impact of shame on the decision-making ability of the entrepreneur, which is addressed through this study.

The study uses an experimental design, which is considered the “gold standard” in establishing causality. By manipulating the emotions of 107 entrepreneurs and making them assess a hypothetical opportunity, the study finds conclusive evidence for the proposed hypotheses.

Using the appraisal tendency framework, the authors show that shame makes an entrepreneur assess an opportunity as lower in desirability and feasibility. Shame also makes an entrepreneur give more significant weight to feasibility (over desirability) when deciding on entrepreneurial action.

The study provides strong empirical evidence that shame is an important emotion and influences the decision-making ability of the entrepreneur. The study reveals that important stakeholders assessing entrepreneurs need to be careful about how they provide feedback. Since the emotion it can elicit has a bearing on the subsequent decisions made by the entrepreneur.

This paper aims to evaluate the influence of relative social standing, society’s level of restrictions and consumption adequacy on life satisfaction as well as to examine the moderating effect that an environment of social deprivations can cause in this relationship.

The analysis uses data from 23,152 individuals distributed in 272 regions of 18 developing countries collected from the World Values Survey (WVS). Given the hierarchical structure nature of the data in a cross-country setting, the paper utilizes a multilevel linear mixed-effects model with cross-level interaction.

The results show that social deprivation, perception of inadequate consumption and lower social standing negatively affect life satisfaction. Likewise, social comparison and consumption adequacy are moderated by the level of social deprivation, showing that the effect of these variables on life satisfaction is more pronounced for individuals living in regions with a higher level of deprivation than for those living in more affluent societies.

This study enhances the comprehension of well-being within contexts characterized by elevated levels of social deprivation. Furthermore, it provides evidence that objective and subjective deprivations are not independent and antithetical concepts but act mutually in reducing individual well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0623

This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.

The storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.