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This paper aims to identify types of robot service failure stressors and explores its impact on emotional labor and recovery work engagement from the employees’ standpoint.

The research adopted a mixed-method approach in the hospitality industry in China, which included 25 hospitality workers participating in semi-structured interviews and 435 hospitality employees participating in a two-stage questionnaire survey.

Three types of robotic service failure stressors – illegitimate tasks, customer mistreatment and robotic instability – were identified. These stressors significantly influence emotional labor strategies in employee subsequently shaping their recovery work engagement through dual pathways. The sequential mediation effect of deep acting and service empathy serves to enhance recovery work engagement, whereas the sequential mediation effect of surface acting and workplace depersonalization diminishes this engagement. Human–robot collaborative climate moderates these effects in this context.

The findings from this study yield several implications for hospitality managers in managing employees and service robots to perform human–robot collaboration tasks.

Current research has primarily delved into how robot service failures impact customer experiences, leaving the effects on employees less explored. To the best of the authors’ knowledge, this paper is the first empirical study to explore the relationship between robot service failure and employee emotional responses and behaviors, enriching the literature on service robots in the hospitality industry and also proposing new directions and frameworks for future human–robot interaction research.

This final chapter encapsulates the key moments and leadership lessons from Taylor Swift’s career. Throughout the book, we’ve seen Swift’s visionary leadership, creativity, resilience, and authenticity. By exploring her strategic decisions and transformative leadership style, we offer aspiring leaders actionable insights on setting clear goals, motivating others, embracing innovation, and leading with integrity. As we conclude, we shift from reflection to action, encouraging readers to apply these principles in their own leadership journeys.

Integrating social comparison and social identity theories, this study aims to examine students’ emotional and behavioral responses to the use of ChatGPT in academic settings, focusing on intrinsic motivation, dissonance, envy, schadenfreude and artificial intelligence (AI) usage intentions.

The research design consisted of two sequential survey-based studies with undergraduate business students. Study 1, analyzed with SmartPLS, measured students’ intrinsic motivation, cognitive engagement, dispositional envy, emotional dissonance and schadenfreude experienced in response to academic dishonesty related to ChatGPT. Study 2 explored the motivations behind students’ future use of AI tools, examining ethical considerations and emotional responses.

Study 1 determined that higher levels of cognitive engagement reduce dissonance and envy among highly motivated students. Nevertheless, driven by cognitive engagement, dissonance and envy, it was established that highly motivated students experience schadenfreude when others are caught misusing ChatGPT. In contrast, low-motivated students only feel schadenfreude as a product of dissonance and envy. The focus of Study 2 was on the adoption of ChatGPT. Results indicate that future usage is driven by ethical considerations for highly motivated students, whereas less dissonance is key for low-motivated students.

The study’s originality lies in its exploration of schadenfreude in the context of AI use among students, highlighting how cognitive engagement and motivation influence emotional responses. Drawing on social comparison and social identity theories, it sheds new light on the dynamics of academic integrity and the emotional landscape surrounding AI tools like ChatGPT, thus filling a research gap in understanding student behavior and perceptions in higher education.

The construction industry is notorious for high risks and accident rates, prompting professionals to adopt emerging technologies for improved construction workers’ health and safety (CWHS). Despite the recognized benefits, the practical implementation of these technologies in safety management within the Construction 4.0 era remains nascent. This study aims to investigate the mechanisms influencing the implementation of Construction 4.0 technologies (C4.0TeIm) to enhance CWHS in construction organizations.

Drawing upon integrated institutional theory, the contingency resource-based view of firms and the theory of planned behavior, this study developed and tested an integrated C4.0TeIm-CWHS framework. The framework captures the interactions among key factors driving C4.0TeIm to enhance CWHS within construction organizations. Data were collected via a questionnaire survey among 91 construction organizations and analyzed using partial least squares structural equation modeling to test the hypothesized relationships.

The results reveal that: (1) key C4.0TeIm areas are integrative and centralized around four areas, such as artificial intelligence and 3D printing, Internet of Things and extended reality; and (2) external coercive and normative forces, internal resource and capability, business strategy, technology competency and management (BST), organizational culture and use intention (UI) of C4.0 technologies, collectively influence C4.0TeIm-CWHS. The findings confirm the pivotal roles of BST and UI as mediators fostering positive organizational behaviors related to C4.0TeIm-CWHS.

Practically, it offers actionable insights for policymakers to optimize technology integration in construction firms, promoting industrial advancement while enhancing workforce well-being.

The novel C4.0TeIm-CWHS framework contributes to the theoretical discourses on safety management within the C4.0 paradigm by offering insights into internal strategic deployment and compliance challenges in construction organizations.

This study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design.

This study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research.

At present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends.

This study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.

The motivation to choose an electric vehicle (EV) is guided by principles of personal values, perceived rewards and preferences. While the benefits of sustainable transportation are known, the acceptance of EVs and the motivation to purchase them is not satisfactory in India. An assessment of the motivation continuum, a range of intrinsic to extrinsic personal and societal drives that encourage specific choices, explains the lack of EV adoption in the country. This study aims to examine the effect of motivation types on EV adoption intentions and also explores the moderating role of gender in this context.

By incorporating constructs from the self-determination theory, the study expands on the technological acceptance model. It uses the structural equation modelling method to test the hypotheses and presents an analysis of responses from 351 participants.

The findings suggest that there are significant relationships between external, identified, integrated motivation and EV buying intentions. The influence of gender on EV adoption is also explored.

This study provides an in-depth analysis of varied motivational types on EV buying intentions and the moderating effects of gender on these relationships.

This paper aims to compare the effects of social procurement policies on companies in the Victorian and Scottish construction industries. Scotland and Victoria have led the way in the recent revival of social procurement.

Semi-structured interviews were undertaken with 27 organisations and 28 participants who have experience of implementing social procurement policies into the construction industries of both jurisdictions.

Findings contribute important new comparative insights from multiple stakeholder perspectives, into the effects of social procurement policies on firms operating in the construction industries of the two jurisdictions. Findings indicate an increasing awareness of social procurement in the construction industries of both Scotland and Victoria. However, differences in policy design determine the nature and extent of this awareness, the level of empowerment felt by actors and the social impact these new policies have in practice. It is concluded that to maximise the social impact of social procurement policies into major industries like construction, policymakers need to carefully consider supply-side limitations, the political context into which social procurement is being implemented and the way they prescribe what types of social value they want to create and for whom.

Successful social procurement policy implementation into the construction industry can have significant positive social implications for the communities in which the industry builds due to the large numbers of people it employs and its large multiplier effect into the wider economy.

By investigating the effects of social procurement policies on a cross-section of organisations from across the construction industry supply chain, this international study, contributes new comparative insights to the emerging bodies of research on the impact of public procurement on companies in major industries like construction.

The authors mobilise stewardship theory, which delves into trust and collaboration dynamics, advocating for long-term gains through actions beneficial to the broader community. Used as a fundamental framework to conceptualise the model, stewardship theory enhances the understanding of the effect of purchasing social responsibility (PSR) practices to foster innovativeness and performance through the supply chain (SC). This study aims to examine the relationship between PSR, SC innovativeness (SC-INNO) and SC operational performance (SCOP). In addition, the moderating effect of sustainability labels on these relationships will be studied.

Based on survey data from 177 organisations analysed through partial least square structural equation modelling, the results suggest that PSR has a positive and significant effect on SC-INNO and SCOP. In addition, SC-INNO plays a partial mediation role since the direct effect between PSR and SCOP is validated. Furthermore, the moderating effects of holding a sustainability label and industry type about PSR and SCOP are supported.

The results indicate a significant positive influence of PSR on both SC-INNO and operational performance. SC-INNO is found to partially mediate the PSR–SCOP relationship. Moreover, sustainability labels and industry type significantly moderate the effects of PSR on SCOP.

The findings extend stewardship theory into the sustainable purchasing and supply management field by providing empirical support for PSR as a reflection of stewardship behaviours by fostering innovation and performance throughout the SC.

This paper investigates the motivations and challenges of women entrepreneurs in Ireland, assessing the role of policies and Enterprise Ireland (EI) support for women-led companies and high potential start-ups (HPSUs). It employs the gendered theory of entrepreneurship and opportunity recognition theory to analyse the enablers and obstacles to women’s entrepreneurship, particularly in the context of EI’s support, aiming to suggest improvements.

Grounded in a feminist epistemology and employing a mixed-methods approach, a targeted survey explores motivations, barriers and supports the needs of female entrepreneurs in Ireland, offering a comprehensive gender perspective evaluation for policy enhancement.

Findings note a shift in Irish women’s entrepreneurship motivations and outlines major hurdles like limited funding and work–life balance issues. It recommends policy enhancements in data collection, website usability, financial guidance and childcare support.

This paper aims to highlight the impact of gender-specific factors on entrepreneurship, the study highlights the importance of ongoing data collection and gender comparative analyses. It advocates for women mentoring networks and improved financial support to build a more inclusive entrepreneurial environment in Ireland, with potential global implications.

This study is unique for its in-depth exploration into Irish female entrepreneurship challenges, this study proposes actionable strategies with local and global relevance. Advocating for caregiving support integration and women’s increased involvement in tech, it offers a blueprint for fostering female entrepreneurship. It contributes to global discussions on creating supportive, equitable entrepreneurial ecosystems, serving as a valuable resource for advancing gender inclusivity and equity in entrepreneurship worldwide. It identifies scope for integration of a feminist epistemology in policy development.

This study aims to comprehensively identify supply chain risks and their causes, the factors influencing supply chain management and techniques to successfully mitigate and control supply chain risks in construction projects. This study developed a comprehensive framework showing various supply chain risks and how these risks that influence project execution are systematically identified and managed for the overall construction project success.

The research conducted was characterised by its descriptive, exploratory and quantitative nature. The collection of quantitative data was conducted by means of structured online questionnaires. The sample consisted of 205 construction project professionals who were selected randomly. This group included individuals with various roles in the construction industry, such as project managers, civil/structural engineers mechanical engineers, risk managers, architects, quantity surveyors, electrical engineers, construction managers, health, safety and environment managers, estate managers and other professionals. All participants were actively involved in construction projects located in the Gauteng province of South Africa. The data was analysed, using descriptive statistical methods, including factor analysis, reliability assessment and calculations of frequencies and percentages.

The result showed that predictable delivery, funding schedule, inventories, balanced demands, production capabilities, timely procurement, construction supply chain management coordination, delivery reliability, the proximity of suppliers, identification of supply chain risks in the conceptualisation stage of a project, identification of supply chain risks in the planning stage of a project, identification of supply chain risks in the execution stage and the reconciliation of material flows of the subcontractors with the contractors were identified as the key factors that influenced the construction supply chain management the most. The result also showed that subcontractor’s negative attitudes towards supply chain management, procurement delays, imbalanced demands, clients’ negative attitudes towards other project stakeholders, unpredictable delivery reliability, disorganised construction supply chain management approach, delayed funding, low delivery reliability, poor inventories, poor construction supply chain co-ordination, suppliers’ negative attitudes towards supply chain management and when the material flows of the subcontractors with the contractors are not reconciled were identified as the factors that have the greatest impacts on construction supply chain risks management.

For future research, it is recommended to incorporate fourth industrial revolution) such as machine learning prediction models and algorithms, Artificial intelligence and blockchain to identify and manage supply chain, supply chain risks and project stakeholders involved in supply chain in construction projects. Green construction or sustainable construction was not fully covered in this study. The findings will be beneficial for sustainable construction projects in developing countries for sustainability, although it did not extensively cover green buildings and related risks.

Supply chain risk is one of the major challenges facing the construction industry because construction projects are complex by nature involving a lot of activities and participants with different responsibilities and tasks therefore it is highly recommended to implement the proposed frameworks in this paper from the conceptualisation stage to the execution stage, carefully identifying parties involved in supply chain, supply chain management, stakeholders, tasks, activities, responsibilities and supply chain risks generated as a result of the interactions between stakeholders involved in supply chain management and coordination to realise project objectives. The findings will be a foundation for identifying and managing supply risks in sustainable buildings in developing countries.

Supply chain management is crucial in every enterprise. Managing supply chain risks is a major aspect of risk and disaster management and this implies that supply chain excellence is achievable by building communication, trust and mutual objectives, no blame culture, performance measurement, constant improvement and partnering.

The implementation of construction supply chain risk management framework involves assessing the impacts of these supply chain risks on the objectives of construction projects with respect to time, cost, safety, health, environment, stakeholders, financial performance, client satisfaction and quality.