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This paper aims to study whether the adoption of an entry mode that fits the social trust level contributes to the improvement of foreign subsidiary performance.

The authors used the Probit model, linear regression, strategic fit approach and instrumental variable regression. The sample was made up of 11,095 observations of Chinese multinational enterprises' foreign subsidiaries in 54 countries from 2005 to 2020.

The results suggest that a host country with a high level of social trust results in fewer difficulties for enterprises in gaining legitimacy, thus foreign subsidiaries are more likely to select the wholly owned entry mode. The results also show that the effect is contingent on the formal institutions of host countries. The results of the mechanism test suggest that social trust influences subsidiaries' entry mode choice by reducing information asymmetry, costs and uncertainty risks. This study further finds that selecting a fit entry mode based on social trust level substantially increases foreign subsidiary performance and this effect is more significant when multinational enterprises (MNEs) are state-owned enterprises (SOEs).

The main limitation of this paper is its only focus on foreign subsidiaries of Chinese MNEs, which may limit the generalizability of research findings.

This paper responds to the call for conducting more research on informal institutions. Findings highlight the critical role of informal institutions in helping foreign subsidiaries in gaining legitimacy in host countries and the essentialness of selecting a fit entry mode based on the informal institutions of host countries for the development of foreign subsidiaries.

Research has focused primarily on the antecedents that influence the risk taking of CEOs themselves. This study examines how an important event experienced by a CEO at a direct rival firm influences a CEO's risk-taking. It also examines how prior firm performance relative to aspirations moderates the relationship.

In order to test the hypothesis, the authors perform an a difference-in-differences methodology.

Using a difference-in-differences methodology, we find that when a CEO wins a prestigious CEO award, competitor CEOs increase their firm risk-taking in the post-award period. The proclivity becomes stronger when their prior firm performance relative to aspirations is better. These findings suggest that a CEO winning a prominent CEO award influences competitor CEOs' risk-taking.

This study contributes to the literature on managerial risk-taking by highlighting that a star CEO winning a prominent award may serve as a striving aspiration and induce competitor CEOs to take risks, and that two different types of aspirations – striving and competitive aspirations – interact to influence the competitor CEOs' risk-taking.

Many educators are increasingly acquainting themselves and becoming adept with interactive technologies like augmented reality and virtual reality. Some of them are also looking forward to using Metaverse applications, as they want to benefit from its immersive three-dimensional capabilities. Therefore, the purpose of this study is to critically review the extant literature to investigate how, why, where and when the Metaverse can be used for educational purposes. This study also discusses opportunities, challenges and risks related to this disruptive technology.

A Preferred Reporting Items for Systematic Reviews and Meta-Analyses rigorous protocol is used to search, extract, scrutinize and synthesize content from high-impact articles focused on the use of the Metaverse technology in the realms of education. Afterwards, this study theorizes on the costs and benefits of using this interactive technology with students.

A number of researchers are already experimenting with virtual technologies that are very similar to the Metaverse, in different contexts. This research indicates that most students are lured by immersive multi-sensory three-dimensional environments as well as by virtual reality applications that could simulate real-life situations and provide engaging experiences with virtual representations of people, places and objects. On the other hand, this study reveals that educators ought to consider the potential pitfalls of the Metaverse, including privacy breaches and security risks, as well as possible addictions and the development of mental health issues, among others.

Students and educators can use the Metaverse to catapult themselves in a simulated digital universe that could reconfigure their sensory inputs, definitions of space, time and points of access to information. This research calls for the development of regulatory instruments, including sound principles, guidelines and procedures that are intended to safeguard and protect Metaverse users.

This contribution implies that there is scope for educators to continue developing the Metaverse’s virtual spaces to improve their students’ motivations, aptitudes and learning outcomes. This study clarifies that the use of the Metaverse in education can create infinite possibilities to enhance their knowledge, competences and abilities through its immersive applications. Yet this paper also raises awareness about possible challenges in the short term as well on other risks associated to the prolonged use of this captivating technology.

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.

This research aims to investigate the mediating role of organizational dehumanization in the relationships between supervisor/coworker ostracism and employee outcomes (i.e., increased physical strains, decreased work engagement, increased turnover intentions). Moreover, this research explores the moderating role of supervisor’s organizational embodiment and coworkers’ organizational embodiment in these indirect relationships.

A cross-sectional study (N = 625) surveying employees from various organizations while using online questionnaires was conducted.

Results highlighted that, when considered together, both supervisor ostracism and coworker ostracism are positively related to organizational dehumanization, which, in turn, detrimentally influences employees’ well-being (increased physical strains), attitudes (decreased work engagement) and behaviors (increased turnover intentions). Results further indicated that the indirect effects of supervisor ostracism on outcomes via organizational dehumanization were stronger when the supervisor was perceived as highly representative of the organization. However, the interactive effect between coworker ostracism and coworkers’ organizational embodiment on organizational dehumanization was not significant.

This research adds to theory by highlighting how and when supervisor and coworker ostracism relate to undesirable consequences for both employees and organizations. On top of simultaneously considering two sources of workplace ostracism (supervisor/coworkers), this research adds to extant literature by examining one underlying mechanism (i.e., organizational dehumanization) explaining their deleterious influence on outcomes. It further examines the circumstances (i.e., high organizational embodiment) in which victims of supervisor/coworker ostracism particularly rely on this experience to form organizational dehumanization perceptions.

This study aims to investigate whether higher value creation leads to higher value appropriation and to identify the boundary conditions in a buyer–supplier relationship that can explain why a particular supplier can appropriate higher value than others.

The study uses questionnaire surveys. The sample of the survey has 150 publicly-listed supplier firms in Taiwan. The unit of analysis is the buyer–supplier relationship.

In the buyer–supplier relationship, suppliers’ bargaining power, partnership and a supplier’s original brand manufacturing (OBM) business can strengthen the positive relationship between value creation and value appropriation.

This study adopts the unilateral viewpoint of suppliers; however, some constructs might require dyadic evaluation. This study only explores the spillover effect of OBM business on the relationship between value creation and appropriation.

The spillover effect of a supplier’s OBM business in a buyer–supplier relationship allows the buyer to share more common benefits and the supplier to capture more private benefits as compensation. By broadening its customer base, a supplier can increase its bargaining power. A supplier can also maintain a strategic partnership with each essential buyer.

To avoid the dark-side effect of partnership, the model provides the contingency that a supplier can capture more value from a buyer–supplier relationship.

In an environment of intensive global mobility, this study aims to investigate the performance role of staffing choices within diverse MNE subsidiary strategies. Incorporating the integration-responsiveness (IR) framework with a contingency perspective, this study proposes that the performance success of distinct MNE subsidiary strategies depends on staffing choices. This study argues that performance differences of staffing choices such as assigned expatriates, self-initiated expatriates, former inpatriates and host-country nationals derive from their different knowledge/experience advantages regarding the intra-firm environment and local market conditions.

The study utilizes a unique sample of 169 foreign subsidiaries located in Greece that faced the outbreak of the COVID-19 pandemic (in 2020). For robustness reasons, this study also captures the imposition of capital controls (in June 2015).

This study finds important mediating performance effects of a diversified human resource portfolio across distinct subsidiary strategies in difficult times. Integration strategy tends to use more assigned expatriates, locally responsive strategy tends to utilize more host-country nationals, whereas multi-focal strategy favors self-initiated expatriates and former inpatriates, with positive subsidiary performance effects accordingly. So, staffing policies that are suitable to balance the needs of Human Resource Management (HRM) portfolio differ from strategy to strategy. Moreover, this study finds that managing HRM diversity is crucial in turbulent times.

While the empirical evidence has been predominantly accumulated from large economies, largely neglecting performance effects of MNE subsidiary staffing in crisis contexts, the analysis sheds light on a small open economy (i.e. the Greek context) emphasizing rapidly environmental deterioration. The findings extend existing theorizing on international performance and HRM management by providing an integrative conceptual framework linking integration-responsiveness motivated strategies with distinct groups of high-quality human resources under contingency considerations, so creatively synthesizing largely fragmented IB and HRM research streams. The study provides valuable insights into the performance role of non-conventional staffing choices such as self-initiated expatriates and former inpatriates, given that relevant studies examine either exclusively expatriates or compare expatriates with host country nationals, reaching inconclusive results.

This paper aims to establish and empirically investigate a research model examining the effect of four dimensions of the technology readiness index – optimism, innovativeness, discomfort and insecurity – on customer engagement that further influences purchase intention in the context of online shopping through artificial intelligence voice assistants (AI VAs).

Data were collected in India from 429 customers in a self-administered online survey. Data analysis uses the structural equation modelling technique.

Technology readiness dimensions, e.g. optimism, innovativeness, discomfort and insecurity, are critical factors driving customer engagement. Customer engagement further results in purchase intention in online shopping through AI VAs.

This study adds to the literature by understanding how customers’ technology readiness levels drive engagement and purchase intention. However, this study includes customer engagement as a unidimensional construct. Further research can consist of customer engagement as a multidimensional construct.

The findings offer guidelines for e-retailers to enhance customer engagement that matches their personality traits, thereby strengthening their purchase intention through AI VAs.

The research contributes to the literature by empirically investigating a research model, revealing optimism, innovativeness, discomfort and insecurity as crucial parameters for customer engagement and purchase intention.

This study aims to investigate tourists’ impressions of the smart destinations model from the socio-technical systems and the technology–organization–environment (TOE) perspectives. Specifically, it aims to explore how information source credibility and cloud infrastructure influence tourists’ use of intelligent technology.

This measurement development is based on prior literature; after being evaluated for face and content validity, the authors used random sampling to collect data and conducted a field survey of tourists through Taoyuan Airport and using the airport MRT between December 2022 and March 2023. After confirming that tourists knew the destination information and had experience using travel-related mobile applications to plan their itinerary, the authors further invited tourists to participate in the survey, and 512 valid questionnaires were analyzed by the structural equation modeling approach.

The finding pointed out that source credibility and intelligent technology were innovative technologies that benefitted tourists, as were mobile travel planning apps, which created a relational context based on interests and activities from the socio-technical and TOE perspectives.

Technological innovation is closely related to the development of smart cities; tourists who used travel itineraries successfully understood travel-related actions and significantly had more positive affective images of the city.

Completing Right-of-Way (ROW) acquisition process on schedule is critical to avoid delays and cost overruns on transportation projects. However, transportation agencies face challenges in accurately forecasting ROW acquisition timelines in the early stage of projects due to complex nature of acquisition process and limited design information. There is a need of improving accuracy of estimating ROW acquisition duration during the early phase of project development and quantitatively identifying risk factors affecting the duration.

The quantitative research methodology used to develop the forecasting model includes an ensemble algorithm based on decision tree and adaptive boosting techniques. A dataset of Georgia Department of Transportation projects held from 2010 to 2019 is utilized to demonstrate building the forecasting model. Furthermore, sensitivity analysis is performed to identify critical drivers of ROW acquisition durations.

The forecasting model developed in this research achieves a high accuracy to predict ROW durations by explaining 74% of the variance in ROW acquisition durations using project features, which is outperforming single regression tree, multiple linear regression and support vector machine. Moreover, number of parcels, average cost estimation per parcel, length of projects, number of condemnations, number of relocations and type of work are found to be influential factors as drivers of ROW acquisition duration.

This research contributes to the state of knowledge in estimating ROW acquisition timeline through (1) developing a novel machine learning model to accurately estimate ROW acquisition timelines, and (2) identifying drivers (i.e. risk factors) of ROW acquisition durations. The findings of this research will provide transportation agencies with insights on how to improve practices in scheduling ROW acquisition process.