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The attempt to establish a common European framework for core platforms' duties and responsibilities toward other actors in the digital environment is at the core of the recent scholarly debate surrounding the Digital Markets Act (DMA) proposal. In particular, the everlasting juxtaposition between the “data power” – as emerging from recent cases (Section 2) – that dominant tech companies enjoy and the concept of consumer sovereignty (Section 3) lies at the core of the proposal's attempt to identify digital core platforms as market gatekeepers. Accordingly, this chapter critically investigates the divide between power imbalance and consumer sovereignty in light of the architecture designed by the DMA, with a specific focus on its effectiveness in identifying gatekeepers' power drivers (Section 4). After highlighting the main critical aspects of the pertinent rules, opportunities for fruitful developments are then identified through the reframing of some of the notions considered in the proposal, and namely the role of “lock-in” effects and “data accumulation” (Section 5). Lastly, this chapter suggests that the DMA advancements – while desirable – are bound to be fragmentary in the absence of a wider appraisal of the nature of data power imbalance dynamics in the modern digital markets (Section 6).

The primary objective of this research is to provide evidence that there are two distinct layers of investor sentiments that can affect asset valuation models. The first is general market-wide sentiments, while the second is biased approaches toward specific assets.

To achieve the goal, the authors conducted a multi-step analysis of stock returns and constructed complex sentiment indices that reflect the optimism or pessimism of stock market participants. The authors used panel regression with fixed effects and a sample of the US stock market to improve the explanatory power of the three-factor models.

The analysis showed that both market-level and stock-level sentiments have significant contributions, although they are not equal. The impact of stock-level sentiments is more profound than market-level sentiments, suggesting that neglecting the stock-level sentiment proxies in asset valuation models may lead to severe deficiencies.

In contrast to previous studies, the authors propose that investor sentiments should be measured using a multi-level factor approach rather than a single-factor approach. The authors identified two distinct levels of investor sentiment: general market-wide sentiments and individual stock-specific sentiments.

In drawing on the conservation of resources theory and the broaden-and-build theory, the present research investigates the dynamic of social resources (i.e. servant leadership) and personal resources (i.e. psychological empowerment and positive affect) in the determination of the nurses' optimal performance (i.e. deep acting).

The research involved collecting three waves of data on 481 frontline nurses at a large hospital in Taiwan, each a month apart. The hypotheses were tested using PROCESS mediation and moderated mediation regression models.

The results supported the indirect relationship between servant leadership and deep acting through psychological empowerment as well as the moderating effect of positive affect on the mediation model.

The findings shed new light on the interplay of different resources and also provide practical implications for the development of frontline supervisors and nursing staff to be compatible with a serious orientation toward the quality of their professional functioning.

The purpose of this study is to showcase that the valuation of startups is still considered to be more “art than science”. Moreover, such non-rigorous approaches often lead to valuations, which turn out to be too high, which in turn has become a well-known phenomenon to a broader audience due to shining examples such as We Work. This is reason enough to revisit the important topic of where we stand today with startup valuation procedures and methodologies.

Literature synthesis and exploratory analysis.

While some studies describe sound results about how to assess startups, what the authors found was that many questions remain open or have not been covered at all. This is the reason why the authors needed to apply a substantial amount of reasoning in the analysis of studies, which do not exactly deal with startup companies. The authors provided some interesting impulses for future research.

Based on an original overview of the current state of research about the valuation of startup companies, this paper makes the following principal contribution to both the literature and practice: on the one hand, the authors assess four impact factors on startup values critically; on the other, the authors provide an outlook on promising future research avenues.

The Arsenale was the largest medieval industrial enterprise, famous for its assembly line. Management faced extreme variations between peace-time and war-time demands. Satisfying these unpredictable and sudden demands for a large, complex product with a multiple years–long production cycle was challenging. The purpose of this study is to analyze the Arsenale’s operations and supply chain arrangements, and to identify and assess their management policies. We also track its development and investigate its influence on other countries.

The research methodology used is archival research with content analysis of text and graphic representations of production processes.

These reveal that Venice’s supply chain management evolved from simply exploiting woodlands as needs arose, to a managed forest with planned planting, cultivation and harvesting, ending with the active modification of growing trees so their natural growth was artificially shaped to satisfy production requirements. Instead of fabricating components in their factory, the Venetians formed them by shaping the trees while they were still growing. These arboriculture techniques then provided a planned and regular supply of high-quality components that purely natural processes provided only randomly.

There may be undiscovered archival documents despite the authors’ best efforts. The development of this historic supply chain reflects modern managerial concerns.

Modern restorations of historic ships and buildings use some of the fabrication methods identified, although the more intensive techniques would require higher volume production.

This reveals historical forestry practices emphasised long-term needs and sustainable use.

To the best of the authors’ knowledge, this is a unique long-term investigation of an integrated production system and considers its influence on Iberian, French, British and American forestry and ship building. The close integration of production requirements with forestry practices was a novel finding.

This study aims to examine the relationship between abusive supervision and workplace incivility using a dual theoretical framework. First, it draws on the ego depletion theory to investigate the relationship between abusive supervision and incivility by exploring the mediating role of ego depletion. Second, it integrates the job demands–resources model with the ego depletion theory to examine how perceived co-workers’ support functions as a buffer in mitigating the effects of ego depletion on incivility.

The authors tested our moderated mediation model using hierarchical linear modeling through an experience-sampling study based on data collected from a participants across five consecutive workdays.

The findings reveal employees subjected to abusive supervision are more likely to experience a depletion of self-regulatory resources. Moreover, the authors found a positive association between ego depletion and workplace incivility, suggesting that diminished self-control resulting from abusive supervision contributes to a higher likelihood of engaging in uncivil workplace behaviors. In addition, perceived coworkers’ support emerged as a significant moderating factor that attenuates the indirect impact of abusive supervision on workplace incivility through ego depletion. Specifically, when perceived coworkers’ support is high, the negative influence of abusive supervision on ego depletion, and subsequently, on workplace incivility, is mitigated.

By exploring ego depletion as the underlying mechanism and boundary conditions imposed by perceived coworker support on the relationship between abusive supervision and workplace incivility, this research contributes to a nuanced understanding of the intricate dynamics of this relationship. Based on the research findings, the authors advocate that organizations should establish and integrate support services, such as counseling and employee assistance programs, to reduce the emotional turmoil caused by abusive supervision.

The purpose of this paper is to develop and introduce the new concept of the collaborative space.

Building on an extensive overview of past research and footing on extant conceptual work, the paper chooses an explicating conceptualization approach.

The paper presents the collaborative space, which features the three bipolar dimensions, namely, the type of consumption (access vs reownership), source of resource (company-owned vs consumer-owned) and the type of compensation (with vs without monetary fee). These dimensions open up multiple areas of the collaborative space, including the pseudo sharing economy, sharing ecology, redistribution markets and redistribution communities.

The paper shows blind spots in the literature as well as the need to consider the consumption context to outline directions for future research.

For managers, this paper develops a foundation for entering, exploring and exploiting the collaborative space along the stages acquisition, distribution, consumption and compensation.

Collaborative consumption is associated with community-building, resource saving and sustainability. The conceptualization of the collaborative spaces provides different options to enable more sustainable consumption and raise social exchange between consumers.

So far, an overarching framework that reveals similarities and differences of business models that are associated with collaborative consumption and the sharing economy is missing. This paper develops this framework, which is labelled the collaborative space.

Vision, audition, olfactory, tactile and taste are five important senses that human uses to interact with the real world. As facing more and more complex environments, a sensing system is essential for intelligent robots with various types of sensors. To mimic human-like abilities, sensors similar to human perception capabilities are indispensable. However, most research only concentrated on analyzing literature on single-modal sensors and their robotics application.

This study presents a systematic review of five bioinspired senses, especially considering a brief introduction of multimodal sensing applications and predicting current trends and future directions of this field, which may have continuous enlightenments.

This review shows that bioinspired sensors can enable robots to better understand the environment, and multiple sensor combinations can support the robot’s ability to behave intelligently.

The review starts with a brief survey of the biological sensing mechanisms of the five senses, which are followed by their bioinspired electronic counterparts. Their applications in the robots are then reviewed as another emphasis, covering the main application scopes of localization and navigation, objection identification, dexterous manipulation, compliant interaction and so on. Finally, the trends, difficulties and challenges of this research were discussed to help guide future research on intelligent robot sensors.

In today's global and competitive corporate environment characterised by rapidly changing information, knowledge and technology (IKT), researchers must be upskilled in all aspects of research data management (RDM). This study investigates a set of capabilities and competencies required by researchers at selected South African public universities, using the community capability model framework (CCMF) in conjunction with the digital curation centre (DCC) lifecycle model.

The post-positivist paradigm was used in the study, which used both qualitative and quantitative methodologies. Case studies, both qualitative and quantitative, were used as research methods. Because of the COVID-19 pandemic rules and regulations, semi-structured interviews with 23 study participants were conducted online via Microsoft Teams to collect qualitative data, and questionnaires were converted into Google Forms and emailed to 30 National Research Foundation (NRF)-rated researchers to collect quantitative data.

Participating institutions are still in the initial stages of providing RDM services. Most researchers are unaware of how long their institutions retain research data, and they store and backup their research data on personal computers, emails and external storage devices. Data management, research methodology, data curation, metadata skills and technical skills are critically important RDM competency requirements for both staff and researchers. Adequate infrastructure, as well as human resources and capital, are in short supply. There are no specific capacity-building programmes or strategies for developing RDM skills at the moment, and a lack of data curation skills is a major challenge in providing RDM.

The findings of the study can be applied widely in research, teaching and learning. Furthermore, the research could help shape RDM strategy and policy in South Africa and elsewhere.

The scope, subject matter and application of this study contribute to its originality and novelty.

The purpose of the study is to identify barriers to collaboration among female administrators at a Ghanaian technical university (TU), based on the social identity theory (SIT).

A mixed-method approach was adopted, integrating qualitative interviews of 15 female administrators and completing structured questionnaires from 117 randomly sampled female administrators. The SIT, as the analytical framework, identified themes emerging from the data on barriers to collaboration among female administrators. While exploratory factor analysis identified measures of factors hindering collaborations, the use of structural equation modeling (SEM) enabled the confirmation of relationships among the barriers to collaboration with female administrators.

There existed statistically significant relationships between four of the barriers: intergroup relations conflict, trust with stakeholders and among females and structural barriers (SBs). For the quantitative analysis, it was found that SBs, intergroup relations, conflict and trust were statistically significant except for weak cultures. For the qualitative, results showed that SBs, lack of trust with stakeholders and among females and intergroup conflict hinder collaboration.

The study has a limited scope in using only one TU and focusing on a particular gender. The implications of this research will enrich the literature on barriers to female administrative collaboration in technical education based on the SIT.

Promoting administrative collaborations in the TU will ensure sustainability and efficient administrative systems.

Institutional policies should include gender inclusivity and equality on networking opportunities and provide mentorship programs for efficient administrative systems.

We used the SIT to determine barriers to collaboration among female administrators in a technical education institution, and the mixed methodology added a unique dimension to the study.