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The importance of sustainable development has become increasingly significant in today’s fast-paced world. The 17 sustainable development goals (SDGs) aim to solve a range of environmental, economic and social challenges, which requires global collaboration among governments and private organisations. In light of this, social entrepreneurship has garnered significant attention as it combines the social purpose of non-profits with the market-driven approach of for-profits to address SDG goals. Yet the cognitive processes underpinning the career decisions of social entrepreneurs remain underexplored. This study aims to develop and validate a scale to measure social entrepreneurial career decisions based on the appraisal of perceived challenges.

The study followed the steps of tool development and was carried out in three phases: item analysis, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

The final 20-item scale focuses on the appraisal components in pre-entry social entrepreneurial career decision-making and has four factors, which are relevance, coping potential, knowledge and resources and normative significance.

The study contributes to the literature on entrepreneurial cognition, specifically focusing on social entrepreneurship. The scale could guide model testing and quantitative research in social entrepreneurial cognition. The four-dimensional structure identified in the study may also have implications for researchers interested in the antecedents and effects of social entrepreneurial decision-making.

Accurate measurement of cognitive appraisal is necessary to understand the perceived challenges and thought processes of potential social entrepreneurs. The scale could be used to examine the cognitive appraisal patterns among students. Social entrepreneurship educators and policymakers can use the scale to design and assess educational programs.

Distinct from existing studies, this scale offers a multidimensional approach that captures the stages of career decision-making, providing a robust tool to enhance our understanding of the decision-making dynamics in social entrepreneurship.

We aim to explore how the COVID-19 crisis has initiated entrepreneurship amongst micro-scale businesses in the notably vulnerable street food industry. We highlight Malaysian street food vendors’ remarkable resilience as they evolved from informal enterprises into innovative entrepreneurs during the pandemic. This involves comprehending the pandemic’s impact and the coping strategies these businesses adopt to endure, evolve and thrive.

We carried out a semi-structured interview with 20 street food vendors in Kuala Lumpur, Malaysia. By using a qualitative approach and integrating theories on appraisal, resource management and self-regulated activities, this paper explores vendors’ experiences on their journey towards becoming entrepreneurs regardless of limited resources.

Despite the disruption, COVID-19 offers a crucial wake-up call even for micro-scale businesses. We discover the capability of street food vendors to outlast crisis through transformation into individuals with an entrepreneurial mindset. They adapted by diversifying their offerings and implementing new strategies like digital marketing and e-commerce. We also emphasise the contribution of family members in providing psychosocial support and navigating business challenges as an advantage of employing a highly self-efficacious individual within the group. This transformation not only ensures the survival of micro-scale enterprises but also underscores their potential to thrive and innovate, even in the face of adversity.

This paper extends the existing literature on street vending by integrating the appraisal theory of emotion, resource-based view theory and self-efficacy theory to explore how street food vendors with limited resources have managed to transform the informal business nature into an entrepreneurial environment under the pressure of a crisis.

Intensified job demands (IJDs; work intensification, intensified job- and career-related planning and decision-making demands, and intensified learning demands) illustrate the intensification of working life. This study examined relationships between IJDs and work engagement.

Nine diverse samples (n = 7,786) were analyzed separately via regression analysis by estimating linear and curvilinear relationships between IJDs and engagement.

The results showed that certain subdimensions of IJDs, i.e. intensified learning demands, related positively to engagement across several subsamples. Moreover, learning demands showed a curvilinear relationship with engagement in several subsamples; engagement was highest in a moderate level of learning demands whereas low and high levels of learning demands were associated with lower engagement. We also found that other subdimensions of IJDs did not show consistent positive relationships with engagement, and some of them were negatively associated with engagement.

Cross-sectional design.

Organizations should consider what would be the optimal level of learning demands as excessive learning demands can be detrimental to employees’ engagement.

This is a first study focusing on different manifestations of the intensification of working life, operationalized via IJDs, and their curvilinear relationships with engagement by applying a multi-sample design.

Grounded in the cognitive appraisal theory, this paper aims to investigate how employees cognitively evaluate and respond to the introduction of service robots, with a particular focus on generational differences.

Data was collected from hospitality employees across different generations in the USA, and 279 responses were analyzed using partial least squares structural equation modeling.

The results indicate negative service robot awareness and perceived risk significantly contribute to increased turnover intentions, with job insecurity mediating these associations. Notably, Generation Z employees exhibit distinct attitudes toward service robots compared to older generations, indicating a varying response pattern across different generational cohorts.

Organizations operating in the hospitality industry can use these findings to tailor interventions aimed at addressing concerns related to job insecurity and turnover intentions arising from the integration of service robots. Recognizing the diverse perspectives among different generational groups, organizations can implement targeted approaches to ensure a smoother transition and enhance employee acceptance of service robot technologies.

This study contributes to the literature by shedding light on the nuanced interplay between employees’ cognitive evaluations, generational differences and the introduction of service robots in the hospitality sector. The insights generated offer valuable guidance for both academics and industry practitioners, facilitating the development of strategies to foster a mutually beneficial integration of service robots into the workforce.

本研究基于认知评估理论, 探讨员工如何对引入服务机器人进行认知评估和响应, 特别关注世代差异。

采集了来自美国不同世代的酒店员工的数据, 分析了279份回应, 采用了部分最小二乘结构方程建模（PLS-SEM）分析方法。

研究结果显示, 对服务机器人的负面认知和感知风险显著增加了员工的离职意向, 工作不安全感在这些关系中起到了中介作用。值得注意的是, 与老一辈相比, Z世代员工对服务机器人表现出明显不同的态度, 显示出不同世代群体对服务机器人的响应模式各异。

本研究通过揭示员工认知评估、世代差异和服务机器人引入在酒店业中的微妙互动, 对文献做出了贡献。所得的洞见为学术界和行业从业者提供了宝贵指导, 有助于制定策略, 促进服务机器人与工作人员的互利融合。

在酒店业运营的组织可以利用这些发现来定制干预措施, 解决由引入服务机器人引发的工作不安全感和离职意向问题。认识到不同世代群体的多样化观点, 组织可以实施有针对性的方法, 确保服务机器人技术的平稳过渡, 增强员工对其的接受度。

The paper aims to identify the critical constraints that impede heritage building (HB) facility managers from discharging their duties effectively and develop an index model to guide HB maintenance management (HBMM) practitioners to the critical constraints.

A literature review was conducted to identify HBMM constraints. Facilty management practitioners assessed the constraints' significance through an online survey. The factor analysis was used to shortlist and group the constraints, and the constraint clusters were analyzed by the fuzzy synthetic evaluation technique. A significant index cluster to determine HBMM constraints criticality was generated using the linear additive model.

Embracing a total of 16 HBMM constraints, the three clusters identified are: (1) managerial and inadequacy constraints, (2) pressure and bureaucracy constraints and (3) HB peculiarities constraints. Based on the generated significant index, the HB peculiarities cluster was identified as the most significant.

The study was conducted in a particular jurisdiction, limiting the generalizability of the result. Future research should address this limitation by covering more jurisdictions.

The significant index model (SIM) developed enables HBMM practitioners to objectively assess the criticality of HB constraints and facilitates them to effectively strategize and allocate resources for HBMM.

The SIM, which transforms subjective judgment into the objective assessment of the HBMM constraints' criticality, can assist practitioners, policymakers and other HBMM stakeholders in implementing strategies for the sustainability of HBs.

Genderwashing is an organizational phenomenon in which claims to gender equity remain superficial because organizational efforts toward gender equity are unsuccessful at creating substantive change. I introduce the concept of encounter as a useful framework in extending our understandings of the ways that genderwashing might occur within workplaces. Drawing on “encounters” as fundamentally informal, everyday interactions, I explore the ways in which these seemingly trivial social interactions make significant contributions to the quality of workplace relationships. Using the manager–employee relationship and performance review process as a basis, I show how paying attention to “small talk” is not trivial, but rather has a significant impact on the performance review process, and functions as an important site for the reproduction of or challenge to existing gender inequities. I also suggest that the consideration of “encounters” offers practical insights that can help identify additional behaviors that result in significant movement toward gender equity.

Incivility can be used to target minority groups as a form of discrimination. This paper aimed to assess the extent to which older workers are particularly targeted by cyber incivility.

Study 1 used a cross-sectional design via an online crowdsourcing platform (N = 208). Study 2 (N = 227) employed a daily diary approach with an age diverse sample.

Age does not directly affect perceptions of cyber incivility, but moderates the relationships between cyber incivility and vitality and vigor. In Study 1, older workers experienced a weaker relationship between perceptions of cyber incivility and increased reports of vigor. Conversely, in Study 2, older workers who experienced cyber incivility reported reduced daily vitality both on the same day and the following day.

The discussion explores the nuances of vigor and vitality in older workers. Additionally, despite research on selective incivility, these studies suggest that while older workers may not be selectively targeted for cyber incivility, they struggle more with its repercussions.

Electric vehicle adoption (EVA) drives sustainability by significantly reducing carbon emissions and reliance on fossil fuels. Despite EVA’s notable advantages from existing literature and its evolving nature, a gap persists in evaluating EVA research. This research presents a systematic literature review, offering insights into the current state of EVA advancements.

This study amalgamates various factors influencing EVA and elucidates their associations, fostering sustainable transportation. To evaluate progress in this domain, we adopt the Theory-Context-Characteristics-Methodology (TCCM) framework, systematically assessing the theories, contextual factors, characteristics and methodologies employed in EVA research to support efficient decision-making.

The study reveals 18 theories, prominently including the theory of planned behavior, innovation diffusion theory, technology acceptance model and UTAUT. The study identifies diverse factors such as perceived risk, effort expectancy, social norms, performance expectancy, government policy, personal norms, attitude, perceived behavioral control, subjective norms, demographics and ecological knowledge as pivotal in shaping attitudes and intentions toward electric vehicle adoption. Furthermore, structured equation modeling emerges as the predominant methodology, while including alternative approaches enriches the methodological landscape, contributing to a more comprehensive understanding of the factors driving EV adoption.

The insights gained from this research can inform policymakers, manufacturers and researchers, ultimately contributing to the global transition towards more sustainable transportation solutions.

This research’s cardinal contribution lies in developing an integrated theoretical framework, a novel approach that offers a structured and holistic perspective on the multifaceted determinants of EVA. This framework not only illuminates the intricate relationships among these variables but also opens up exciting avenues for future research.

Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level. Despite this, the role of competitiveness in groups and teams has received scant attention amongst organizational researchers. Aiming to promote future research on the role of competitiveness as both an adaptive and maladaptive trait – particularly in the context of work – the authors review competitiveness and its effects on individual and team stress and Well-Being, giving special attention to the processes of cohesion and conflict and situational moderators. The authors illustrate a dynamic multilevel model of individual and team difference factors, competitive processes, and individual and team outcomes to highlight competitiveness as a consequential occupational stressor. Furthermore, the authors discuss the feedback loops that inform the different factors, highlight important avenues for future research, and offer practical solutions for managers to reduce unhealthy competition.

Based on social exchange theory (SET), the current research aims to investigate the relationship between illegitimate tasks (ITs) and employees’ knowledge-hiding behavior (KHB), incorporating the mediating role of psychological contract violation (PCV) and the moderating role of optimism.

A two-wave time-lagged survey was conducted to collect data from 196 adult Chinese full-time employees.

ITs were positively related to KHB, and this relationship was mediated by PCV. Furthermore, optimism buffered the connection between ITs and PCV as well as the mediating effect of PCV on the relationship between ITs and KHB.

For managers, this study made them aware of the hidden costs of ITs; that is, employees may respond by concealing knowledge in the organization.

This study provides a more nuanced understanding of the relationship between ITs and employees’ subtle deviant behavior, KHB and hitherto unspecified mediating and moderating factors that explain this process.