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Drawing on power approach-inhibition theory, this study aims to theorize a cross-level model to examine how team member personal power (i.e. expert power and referent power) impacts shared leadership through activating their taking charge behaviors in R&D teams, as well as the moderating effect of team learning orientation on the relationship between team member taking charge behaviors and shared leadership.

With multisource data collected from 264 employees in 58 R&D teams from 13 companies, this study tested the hypotheses of the cross-level theoretical model using Mplus 7.4.

The results showed that team member expert power was positively related to their taking charge behaviors, which in turn led to shared leadership, while team member referent power was not significantly related to their taking charge behaviors. Furthermore, the positive relationship between team member taking charge behaviors and shared leadership was strengthened by team learning orientation.

This paper offers suggestions regarding how vertical leaders should pay attention to team member power to promote their change-oriented taking charge behaviors and address team learning to strengthen the effect of team member taking charge behaviors on shared leadership.

By echoing the changing focus towards a shared leading process among team members in leadership literature, this paper provides important insights for both scholars and practitioners to understand the role that power plays in activating team member taking charge behaviors which in turn improves shared leadership.

This paper aims to demonstrate how the new generative artificial intelligence (AI) tool ChatGPT changes knowledge work for individuals and what are the implications of this change for companies.

Based on 22 interviews from informants across different industries, the authors conducted an inductive analysis on the use and utility of ChatGPT in knowledge work. Based on this initial analysis, they discovered different ways in which ChatGPT either augments human agency, makes it redundant or lacks capability in that regard.

The authors develop a 2 × 2 framework of algorithmic assistance, which demonstrates four ways in which ChatGPT (and generative AI in general) interacts with knowledge workers, depending on the usefulness of ChatGPT in particular tasks and the type of the task (routine vs creative).

Based on the insights from the interviews, the authors propose a set of actionable questions for individual knowledge workers and companies from four viewpoints: skills and capabilities; team structure and workflow coordination; culture and mindset; and business model innovation.

To the best of the authors’ knowledge, this study is among the first to identify and analyze the use of ChatGPT by knowledge workers across different industries.

This paper aims to provide a comprehensive analysis of the transformative impact of Artificial Intelligence (AI) and Large Language Models (LLMs), such as GPT-4, on the real estate industry. It explores how these technologies are reshaping various aspects of the sector, from market analysis and valuation to customer interactions and evaluates the balance between technological efficiency and the preservation of human elements in business.

The study is based on an analysis of the strengths and weaknesses of AI as a technology in applications for real estate. It uses this framework to assess the potential of this technology in different use cases. This is supplemented by an emerging literature on the topic, practical insights and industry expert opinions to provide a balanced perspective on the subject.

The paper reveals that AI and LLMs offer significant benefits in real estate, including enhanced data-driven decision-making, predictive analytics and operational efficiency. However, it also uncovers critical challenges, such as potential biases in AI algorithms and the risk of depersonalising customer interactions.

The paper advocates for a balanced approach to adopting AI, emphasising the importance of understanding its strengths and limitations while ensuring ethical usage in the diverse and complex landscape of real estate.

This work stands out for its balanced examination of both the advantages and limitations of AI in real estate. It introduces the novel concept of the “jagged technological frontier” in real estate, providing a unique framework for understanding the interplay between AI and human expertise in the industry.

Based on the approach/inhibition theory of power, this study explores the relationship between sense of power and exploitative leadership. We particularly examine the role of self-interest as a mediator and the role of ambition at work as a moderator.

The data were collected from 189 supervisors and 702 employees. We analyzed the data using path analysis to test the research model.

The results show the following: (1) sense of power positively affects exploitative leadership; (2) the effects of sense of power on exploitative leadership are mediated by self-interest; (3) the effects of self-interest on exploitative leadership are moderated by ambition at work.

The current study identifies self-interest as a key mediator that links sense of power to exploitative leadership and demonstrates that ambition at work moderates the process of self-interest to exploitative leadership.

This case study explores trust at work, described by young professionals in the early stages of their careers. In this article, trust is approached as the study participants' experiences of interpersonal trust. More specifically, it refers to relationships between colleagues, among individuals or at group level (Ma et al., 2019). Supervisors or managers did not take part in this study. The research question was “What do young professionals tell about trust and its importance at work?”

The empirical study consists of qualitative data, focus group (5) interviews (n = 20) of young professionals who are in the early stages of their careers (1–3 years after graduation). The study is contextualized in Finland, in Helsinki metropolitan area, in three social and healthcare workplaces and two information technology (IT) organizations. Both public and private sectors are represented. The data were analysed by theory-based content analysis.

According to the study results, descriptions of trust and its importance at work can be placed in three main categories. First, trust is an important element in improving young professionals' adaptation into the working community. Second, trust strengthens young professionals' professionalism and professional development at work. Third, trust at work highlights ethical issues and their significance in workplace relationships. Practical implications and limitations are also discussed.

Due to the nature of this study, the research results should be viewed critically. The results can be seen as one suggestion to structure and increase understanding of trust in working life, from the perspective of young professionals in the early stages of their careers. As all research, the studies included in this review had several limitations that need to be taken into account. First, one of them is the size of the data, also in this study. Second, although literature has been searched carefully, there is always a chance of better literature existing for discussion on trust at work from young professionals' points of view, even though there is not a lot available on this specific topic. Nonetheless, literature of this study includes the most relevant classics of trust research. Third, the method has its own limits because it is based on focus group interviews, not interviews of individuals. On the other hand, it offered time for the team to reflect on trust in their own team. Still, this study offers one option for discussion of trust in work relationships. Additionally, it was noteworthy that the subjects were at the beginning of their careers, joining a new working community. They were in the early stages of building a professional identity, seeking confirmation of their skills and position in the working community. Thus, we recognize that this may have contributed to the collection of research data, which was a focus group interview. Few participants in the interview wanted to strongly point out the factors related to distrust, even if they had appeared at work. The authors recognize that exploring trust requires trust and acknowledge it. Data have been collected before the COVID-19 pandemic (see, e.g. van Zoonen et al., 2021).

This study implies that trust at work should focus on discussing young professionals' thoughts, expectations, feelings and experiences of trust at work as part of transitioning from graduation into working life or in early stages of their careers. Trust should not only be discussed in dyadic discussions between young professionals and supervisors but also as part of team discussions. The authors’ suggestion is that trust should be in the core of team discussions, not just as part of teams' social and emotional dimensions of their functionality and capacity. Courage and skills to take part in such discussions is needed from all parties. Especially leaders have to have the ability to create a trusting environment to talk about trust. In particular, the importance of peers in trust and their importance at work should be taken into account. By understanding young professionals’ point of view, we can prevent job changes or dissatisfaction at work too. The purpose of this study was to contribute to this line of research on trust at work. The trust resource contributes to and promotes the realization of participation in working life.

The trust resource contributes to and promotes the realization of participation in working life. Leaders and coworkers can learn about trust as a phenomenon, while developing more emotionally sustainable working environments for young professionals. Trust should be seen as a skill or competence to improve various positive functional dimensions at work.

The results demonstrate that it is crucial to ensure emotional sustainability at work, and a positive feeling of belonging at work supports young professionals by developing a trusting work environment. It strengthens their engagement in a new work.

The final effectiveness of employee voice largely depends on voice endorsement. This study aims to review, assess, analyze and synthesize the emerging literature on voice endorsement by focusing on its antecedents to promote future research from a comprehensive perspective.

Based on an integrative review of the literature, the authors conducted a content analysis of 53 peer-reviewed journal articles.

Building on the Shannon–Weaver communication model, this paper summarizes that factors influencing voice endorsement can be classified into five prominent aspects: voicer, voiced idea, contextual factors and noises, voice channel (medium) and voice receiver.

This research holds important implications for practice, providing practical guidelines for employees to speak up, for leaders to endorse voice and for organizations to maintain sustainable development by making full use of employee voice.

This review enriches voice endorsement research by introducing a communication framework to synthesize its antecedents and extends the application of the communication model in organization research. Additionally, the authors offer directions for future research.

The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is critical to assess their impacts on individual markets, the digital sector, and the overall European economy. The European Commission (EC) released an Impact Assessment in support of the DMA that purports to evaluate it using cost/benefit analysis.

An economic evaluation of the DMA should consider its full impacts on dynamic competition. The Impact Assessment neither assesses the DMA's impact on dynamic competition in the digital economy nor evaluates the impacts of specific DMA prohibitions and obligations. Instead, it considers benefits in general and largely ignores costs. We study its benefit assessments and find they are based on highly inappropriate methodologies and assumptions. A cost/benefit study using inappropriate methodologies and largely ignoring costs cannot provide a sound policy assessment.

Instead of promoting dynamic competition between platforms, the DMA will likely reinforce existing market structures, ossify market boundaries, and stunt European innovation. The DMA is likely to chill R&D by encouraging free riding on the investments of others, which discourages making those investments. Avoiding harm to innovation is critical because innovation delivers large, positive spillover benefits, driving increases in productivity, employment, wages, and prosperity.

The DMA prioritizes static over dynamic competition, with the potential to harm the European economy. Given this, the Impact Assessment does not demonstrate that the DMA will be beneficial overall, and its implementation must be carefully tailored to alleviate or lessen its potential to harm Europe’s economic performance.

Allocation problems in accounting require joint costs to be allocated among participating agents. In this setting, however, unfair allocations can stifle cooperation and lead to inefficient group outcomes. Then, what qualifies as fair enough for individual agents to agree to cooperate and extract joint benefits? Building on prior analytical literature that has offered perspectives involving joint cost allocations, we experimentally evaluate two common notions of fairness that present competing predictions in the cost allocation context – proportionality and equality. We operationalize two notions of fairness using a behavioral approach and examine which fairness notion prevails in cost allocation problems. More specifically, we examine fairness considerations in the cost allocation context using a modified ultimatum game, where joint cost savings can only be acquired through cooperation between two agents and individual contributions are varied transparently. Our experimental evidence suggests that fairness considerations in cost allocations coincide more with the proportionality notion when individuals make different contributions to create joint benefits. These findings provide important insights on the key rationale underlying the prevalent cost allocation method in accounting practices and the design of fair cost allocations that promote cooperation among agents.