管理学最新文献

This study investigates the influence of recent technological advancements and collaborative networks on the burgeoning landscape of digital entrepreneurship, particularly within the Middle East and North Africa (MENA) region. For this purpose, the research design employs a mixed-method approach, which combines qualitative and quantitative data collection methods. Semi-structured interviews with MENA-based entrepreneurs have provided in-depth insights into the dynamics of the digital entrepreneurial ecosystem, and the perceived impact of technology on their ventures. Subsequently, a quantitative survey has been administered to eighty respondents, and the data is analyzed using Structural Equation Modeling (SEM), with Partial Least Squares (PLS) path modeling. The findings from both methodologies are expected to illuminate the positive influence of technological advancements and collaborative networks on digital entrepreneurship within the MENA region. Gaining an understanding of these factors can guide policymakers in fostering innovation in ecosystems and stockholder investments that support collaborative digital ventures in the MENA region.

Activist investors in a firm often voluntarily release information about their governance intentions to the public. Voluntary disclosure theory suggests that an activist investor will disclose when she expects other investors to respond positively and support her in upcoming corporate control contests. We find that activists’ disclosures are accompanied by positive abnormal returns, reductions in bid-ask spreads, and increases in future earnings relative to similar targets without voluntary activist disclosures. Disclosures by activists who demand a board seat (the most common demand) have the highest announcement returns, and disclosers also win proxy contests and directorships more frequently than non-disclosers. These findings suggest that the activist’s beliefs about investor response in both pricing and voting are an important driver of her disclosure choice.

Purpose

Grounded on the X Reality framework and human–machine collaboration, this study aims to explore the potential of immersive augmentation through artificial intelligence (AI) service robots for promoting social inclusion in the hospitality industry.

Design/methodology/approach

Three experimental studies across diverse hospitality contexts examine the effects of immersive augmentation using inclusive-AI service robots compared to standard-AI robots. The studies also uncover the underlying process of perceived ethicality and the moderating role of customers’ familiarity with AI.

Findings

The results indicate that immersive augmentation through inclusive-AI service robots generates higher levels of supportive tipping behavior (Studies 1 and 3), superior buying intentions (Study 2) and an increased likelihood for customers to pay a premium price (Study 2). These effects are mediated by perceived ethicality (Studies 1–3). However, the impact of immersive augmentation for social inclusion is contingent upon customers’ familiarity with AI: customers with high familiarity with AI exhibit lower levels of supportive tipping behavior (Study 3).

Research limitations/implications

The findings emphasize the importance of perceived ethicality and customers’ familiarity with AI in determining the effectiveness of immersive augmentation for social inclusion in hospitality.

Originality/value

This study contributes to the literature by exploring the potential of immersive augmentation using AI service robots for social inclusion in hospitality. It offers novel insights by highlighting the importance of perceived ethicality and customers’ familiarity with AI. The findings provide valuable guidance for hospitality managers seeking to leverage AI technology to foster social inclusion.

Purpose

Building on a stress-related view, this study examines the impact of qualitative job insecurity on three indicators of career sustainability. It also examines the moderating role of employee age in this relationship.

Design/methodology/approach

Dutch respondents (N = 398) working in various sectors responded to an online survey. Our hypotheses were tested using path modeling with Mplus.

Findings

Qualitative job insecurity was negatively related to job satisfaction, general health, and employability. Moreover, a moderating effect of employee age on the relationship between qualitative job insecurity and job satisfaction was found.

Practical implications

Organizations need to take measures to prevent qualitative job insecurity, as this appears to be an essential hindering factor that might endanger an employee's career sustainability. Especially younger workers (<40 years) seem to suffer from qualitative job insecurity as this decreases their job satisfaction, urging management and HR professionals to protect them against it.

Originality/value

By focusing on qualitative job insecurity, this study helps to close an essential gap in the literature that so far has mainly focused on quantitative job insecurity. Besides, this is the very first empirical work investigating the link between qualitative job insecurity and multiple indicators of career sustainability. Finally, this research adds a developmental approach to sustainable careers by comparing younger and older workers.

Undocumented migrant workers are among a group of marginalized stakeholders who are severely exploited at their workplace and across broader society. Despite recent scholarly discussions in marginalized stakeholder theory and migration studies, our understanding of how undocumented workers experience marginalization in noncooperative spaces remains very limited. In noncooperative spaces, uncooperative powerful actors deliberately thwart cooperation with local marginalized stakeholders and fail to develop supportive institutional frameworks, such as regulative and transparent governance principles. To address these issues, we conducted interviews with 47 undocumented workers and civil society workers in Italy. Our findings reveal that the marginalization experienced by undocumented workers encompasses socio-economic immobility, systemic incapability, and a sense of meaninglessness. Further, our research challenges the principles of stakeholder capitalism inherent in traditional stakeholder theory, revealing the inadequacy of conventional notions in noncooperative spaces where marginalized stakeholders deal with disempowerment and immobility. We delve into the silent and tacit collusion among uncooperative firms in these spaces, shedding light on the ways in which this problematic cooperation leads to the creation of normative harm. Moreover, we introduce the experience of meaninglessness as an internal barrier hindering migrant inclusion, underscoring the imperative need for widespread immigration reforms and normative changes to foster an environment conducive to meaningful transformations for migrants.

Purpose

This paper focuses on managerial practices in the context of supply chain. It focuses on the innovation of monitoring and control practices and proposes a holistic approach to managing social sustainability in the supply chain, extending the point of view beyond the traditional boundaries of individual factories or their immediate suppliers.

Design/methodology/approach

The analysis is based on a systematic review of scientific literature on managerial practices in supply chains, with a specific focus on social sustainability. The primary goal is to identify essential measurement strategies and key indicator factors within this domain.

Findings

Our findings highlight that most of scientific literature focuses on qualitative approaches, though quantitative approaches are also used. Despite the extensive research, an under-investigated area is the use of hybrid models for measuring social sustainability in the supply chain.

Social implications

This framework is designed to identify the main categories of measurement and relative indicators for assessing social sustainability in supply chains.

Originality/value

This research proposes an innovative and integrated framework, leveraging a hybrid approach that addresses the limitations observed in existing management practices. Additionally, it provides directions for future research.