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How can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.

We have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.

We propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.

To develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.

The proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.

By increasing the digitalization of commercial services citizens' expect more from public services. First of all, this study will strive to identify which problems citizens encounter when they use a complex public service: preparation of an application for a building permit. In the light of the popularity of omnichannel approaches, the study then explores how omni-channel could help to address the problems which have been identified.

We implement the first phases of an action design science research project. We collect data both from citizens and public agencies and frame them as transparency problems. These abstract problems are then addressed by an omnichannel service provision as an abstract solution. The abstract solution is then instantiated in a design in the form of a user scenario developed in collaboration with current and future public officials.

The analysis uncovers multiple transparency issues: it distinguishes between process, case, language, cross-channel and cost transparency. One root cause of the transparency issues observed is the lack of service transparency which defines the purpose and scope of a ser-vice. We therefore recommend defining a service-strategy before informational and technical aspects of an omnichannel approach can be implemented. Following this strategy, omnichannel offers public administrations unique opportunities to excel in citizens' service provision.

The study provides insights into how citizens view complex public services. For researchers, this study offers the conceptualization as transparency issues. Practitioners from the public administrations can also benefit from the concept and vision of omnichannel public services.

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

The international mentoring literature predominantly features traditional company-assigned expatriates as protégés overlooking other types of global talent, such as immigrants, refugees, and international graduates, who may help organizations gain long-term IHRM competitive advantages. We integrate multidisciplinary research to better understand the role of mentoring as a global talent management tool, identify research gaps, and propose future research directions.

We draw on an integrative review of 71 academic journal articles published between 1999 and 2024 to explore the role of mentoring in managing global talent (i.e. expatriates, immigrants, refugees, and international students and graduates).

We found that research has identified and examined relationships between various antecedents and outcomes of mentoring but mainly treating mentoring as a talent development tool. Less is known about the role of mentoring as a recruitment and selection tool in the pre-employment context. Mentoring is an important HRM tool that contributes to managing a global talent pool and developing existing employees.

The review contributes to a better understanding of the characteristics and processes involved in mentoring in a global context by proposing a framework that incorporates antecedents of mentoring, characteristics of the mentoring process, and mentoring outcomes. It highlights the value of mentoring as a recruitment and selection tool supporting global talent management and identifies avenues for future research.

The rapid, yet low-profit, expansion of the production capacity of state-owned enterprises (SOEs) represents a remarkable phenomenon. However, the motivation behind this key operational decision remains underexplored, especially concerning the prioritization of sociopolitical and financial goals in operations management. Drawing on the multiple-goal model in the behavioral theory of the firm (BTOF), the authors' study aims to examine how SOE capacity expansion is driven by performance feedback regarding the sociopolitical goal of employment provision and how SOEs differently prioritize sociopolitical and financial goals based on negative versus positive feedback on the sociopolitical goal.

The authors' study uses panel data on 826 Chinese SOEs in manufacturing industries from 2011 to 2019. The authors employ the fixed-effects model with Driscoll–Kraay standard errors, which are robust to heteroscedasticity, autocorrelation and cross-sectional dependence.

The authors find that SOEs increase capacity expansion as sociopolitical feedback becomes more negative, but they may not increase capacity expansion in response to positive sociopolitical feedback. Moreover, negative profitability feedback strengthens SOEs' capacity expansion in response to negative sociopolitical feedback. In contrast, negative profitability feedback weakens their response to positive sociopolitical feedback.

The authors' study offers a novel behavioral explanation of SOEs' operational decisions regarding capacity expansion. While the literature has traditionally assumed multiple goals as either hierarchical or compatible, the authors extend the BTOF's multiple-goal model to illuminate when firms pursue sociopolitical and financial goals as compatible (i.e. the activation rule) versus hierarchical (i.e. the sequential rule), thereby reconciling their tension in distinct performance situations. Practically, the authors provide fine-grained insights into how operations managers can prioritize multiple goals when making operational decisions. The authors' study also shows how policymakers can influence SOE operations to pursue sociopolitical goals for public benefit.

This study aims to conceptualize the potential stimuli and consequences of perceived yuanfen in the accommodation service encounter by interpreting how Chinese customers perceive yuanfen during their stay in accommodations.

Online accommodation reviews containing yuanfen perception were interpreted using a grounded theory approach. Group interviews were conducted to verify the interpretations.

Positive outcome-generated emotional accommodation experiences (e.g. happiness) can elicit perceived yuanfen, which then evokes customers’ feelings of gratitude, emotional attachment to an accommodation and memorable accommodation experiences. Also, perceived yuanfen facilitates customers’ tolerance of service failures and promotes customers’ intention to stay longer at, recommend and revisit the accommodation.

This study contributes to the literature on accommodation experiences, loyalty, word-of-mouth and service recovery. Future research can explore the interventions that trigger Chinese customers’ perceived yuanfen during accommodation.

This study informs practitioners of the importance of perceived yuanfen in enhancing accommodation experiences and service recovery. Moreover, the conceptualized characteristics and stimuli of perceived yuanfen offer possible guidelines for practitioners on how to stimulate customers’ yuanfen perception.

This study fills the gap of how perceived yuanfen functions in the service encounters in accommodations.

This preliminary study aims to investigate and describe aggression-supportive normative beliefs among patients of a high-secure hospital.

Therapy data from a sample of high-secure forensic hospital patients (N = 11) who had participated in Life Minus Violence-Enhanced, a long-term violence therapy, was examined using interpretative phenomenological analysis (IPA). During therapy, cognitions linked to past incidences of aggression were explored using aggression choice chains.

IPA was applied to data generated through this process to examine the presence and nature of normative beliefs reported, identifying seven themes: rules for aggressive behaviour; use of violence to obtain revenge; processing emotions with violence; surviving in a threatening world; do not become a victim; using violence to maintain status; and prosocial beliefs.

Findings demonstrate that forensic patients have specific aggression-supportive normative beliefs, which may be malleable. Limitations and implications are discussed.

This preliminary investigation aims to examine the psychological impact of the COVID-19 pandemic on patients and staff within a high secure service.

To discern the connection between COVID-19-related distress and multiple factors, the study involved 31 patients and 34 staff who completed assessments evaluating coping strategies, resilience, emotional reactivity, ward atmosphere and work-related aspects.

Results demonstrated that around a third of staff (31.2%) experienced COVID-19-related distress levels that met the clinical cut-off for possible post-traumatic stress disorder. Emotional reactivity, staff shortages, secondary traumatic stress and coping strategies were all positively correlated with COVID-19-related-distress. Resilience was negatively associated with distress, thus acting as a potential mitigating factor. In comparison, the prevalence of distress among patients was low (3.2%).

The authors postulate that increased staff burdens during the pandemic may have led to long-term distress, while their efforts to maintain minimal service disruption potentially shielded patients from psychological impacts, possibly lead to staff “problem-focused coping burnout”. This highlights the need for in-depth research on the enduring impacts of pandemics, focusing on mechanisms that intensify or alleviate distress. Future studies should focus on identifying effective coping strategies for crisis situations, such as staff shortages, and strategies for post-crisis staff support.

The authors postulate that the added burdens on staff during the pandemic might have contributed to their distress. Nonetheless, staff might have inadvertently safeguarded patients from the pandemic’s psychological ramifications by providing a “service of little disruption”, potentially leading to “problem-focused coping burnout”. These findings underscore the imperative for further research capturing the enduring impacts of pandemics, particularly scrutinising factors that illuminate the mechanisms through which distress is either intensified or alleviated across different groups. An avenue worth exploring is identifying effective coping styles for pandemics.

Given the growing preference for internet celebrity restaurants, it is crucial to explore how internet celebrity restaurants can maintain customer loyalty. Therefore, this study aims to examine the connections between brand cognition [emotion value, brand symbol (BS) and brand experience (BE)], brand resonance (BR) and revisit intention.

In this paper, the authors use a theoretical model to test the relationship between cognition and intention. A total of 366 volunteers were recruited to participate in this research. Hypothesis testing and a moderated mediation model were used to measure the results.

BR acts as a mediator in the interaction between emotion value, BS, experience and repurchase intention (RI). Surprisingly, the authors also discover that electronic word-of-mouth (e-WOM) acceptance negatively modifies the relationship between brand cognition and BR. Internet exposure (IE) helps consumers perceive BE and BSs more favorably.

Managers should be aware of how internet celebrity BR is built. Specifically, they can use cultural or emotional elements to maintain relationships with consumers. Furthermore, to lessen the negative consequences of e-WOM, managers should work to maintain positive WOM consistency.

The research advances our knowledge of RI in internet celebrity restaurants settings. This study pioneers an investigation of how brand cognition is related to RI through BR’s mediating effect. It enriches this research perspective of the emerging restaurant literature. By analyzing the boundary impact of internet transmission on resonance, it also advances the literature.

The current academic publishing model, in which researchers rely significantly on multinational publishing companies to disseminate their work, has implications for knowledge enterprise both in terms of knowledge production and distribution. This study aims to provide a critical reflection on the academic publishing model and how it works, particularly in light of the rise of open access publishing and the growing analytics focus of publishing companies and discusses the impact on knowledge equity.

This exploratory essay offers a critical analysis of the impact of the current academic publishing model on research practices. The discussion provides a foundation for the argument that knowledge equity is essential to social justice.

To effectively fulfil the transformative aims of the interdisciplinary research community within social and environmental accounting, it is imperative to establish equitable access to published research.

This essay opens space for discussion of the current publishing model, given its dominance of the knowledge enterprise. It outlines some of the implications of this model for knowledge equity and suggests strategies for fostering a more inclusive and accessible dissemination of scholarly work.