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Increasing personnel costs and labour shortages have pushed retailers to give increasing attention to their intralogistics operations. We study hybrid order picking systems, in which humans and robots share work time, workspace and objectives and are in permanent contact. This necessitates a collaboration of humans and their mechanical coworkers (cobots).

Through a longitudinal case study on individual-level technology adaption, we accompanied a pilot testing of an industrial truck that automatically follows order pickers in their travel direction. Grounded on empirical field research and a unique large-scale data set comprising N = 2,086,260 storage location visits, where N = 57,239 storage location visits were performed in a hybrid setting and N = 2,029,021 in a manual setting, we applied a multilevel model to estimate the impact of this cobot settings on task performance.

We show that cobot settings can reduce the time required for picking tasks by as much as 33.57%. Furthermore, practical factors such as product weight, pick density and travel distance mitigate this effect, suggesting that cobots are especially beneficial for short-distance orders.

Given that the literature on hybrid order picking systems has primarily applied simulation approaches, the study is among the first to provide empirical evidence from a real-world setting. The results are discussed from the perspective of Industry 5.0 and can prevent managers from making investment decisions into ineffective robotic technology.

Several disciplines and thousands of studies have used, developed and supported technology adoption theories to guide industry and support innovation. However, within the past decade, a paradigm shift referred to as the fourth industrial revolution (4IR) has resulted in new considerations affecting how models are used to guide emerging technology integration into business strategy. The purpose of this study is to determine which technology adoption model, or models are primarily used when assessing smart technologies in the 4IR construct. It is not to investigate the rigour of existing models or their theoretical underpinnings, as this has been proven.

To achieve this, a systematic literature review based on the preferred reporting items for systematic reviews and meta-analysis methodology is used. From 3,007 publications, 125 papers between 2015 and 2021 were deemed relevant for thematic analysis.

From the literature, five perspectives were extracted. As with other information and communication technology studies, the analysis confirms that the technology acceptance model remains the predominantly used model. However, 105 of the 125 models extended their theoretical underpinnings, indicating a lack of maturity. Furthermore, the countries of study and authors’ expertise are predominantly clustered in the European and Asian regions, despite the study noting expansion into 16 different subject areas, far beyond the smaller manufacturing scope of Industry 4.0.

This study contributes theoretically by providing a baseline to develop a generalisable 4IR model grounded on existing acceptance trends identified. Practically, these insights demonstrate the current trends for strategists and policymakers to understand technology adoption within the 4IR to direct efforts that support innovation development, an increasingly crucial factor for survival in the digital age. Future research can investigate the additional constructs that were impactful while considering the level of research they were applied to.

Leveraging signalling theory and institutional environment theory, this study aims to examine how the entrepreneurial orientation of emerging market firms impacts initial public offering (IPO) performance.

The authors conduct regression analysis based on archival data from 312 firms’ IPOs in India.

The results in the Indian context suggest it differs from IPO performance in developed markets. In an emerging market context, the findings suggest that only competitive aggressiveness is valued by investors in IPOs. The findings further show that proactiveness and autonomy negatively influence IPO underpricing.

The research propositions imply that, owing to institutional voids in emerging markets, investors’ risk propensity and, hence, rewarding a firm’s entrepreneurial orientation differ from those in developed markets.

Extant literature has given limited attention to the dynamics of entrepreneurial orientation and the effect of each dimension of entrepreneurial orientation on IPO performance in emerging markets.

This cross-sectional investigation explores the relative importance of specific psychological factors influencing adjustment in a sample of internationally mobile children and adolescents, commonly referred to as third culture kids (TCKs), living in Switzerland.

The study cohort comprised 126 participants aged 7–17 years, all of whom had experienced international relocations due to their parents' professional commitments. Participants were recruited from local and international schools in Switzerland, and data were collected through validated online questionnaires after obtaining informed consent. The study focused on proximal psychological factors, including emotion regulation strategies (such as cognitive reappraisal and emotion suppression), negative social cognition, resilience and perceived stress, assessing their impact on psychological adjustment. Outcomes were measured through indicators of well-being and mental health, including emotional and behavioral symptoms.

Commonality analysis was used to evaluate the relative contributions of each psychological factor to well-being and mental health in the sample. Perceived stress emerged as the most significant contributor to well-being, while resilience played a crucial buffering role against mental-health difficulties. These findings are consistent with Berry’s Acculturative Stress Model, which highlights the importance of managing stress in the context of cultural transitions. Additionally, the presence of well-established expatriate support networks in Switzerland may have mitigated the negative effects of stress, suggesting that similar patterns may not hold in less resource-rich environments.

The study offers important insights into the challenges faced by TCKs during international relocations, underscoring the need for further cross-cultural research. It remains essential to examine whether emotion regulation strategies such as cognitive reappraisal and resilience mechanisms function similarly in different cultural and socioeconomic contexts.

The findings also suggest the potential benefits of tailored psychotherapeutic interventions aimed at enhancing the well-being and adaptive capacity of TCKs.

Overall, this research contributes valuable knowledge to the understanding of the psychological mechanisms that can inform strategies for supporting TCKs as they navigate the complexities of global mobility.