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This study aims to integrate and extend leading contemporary underpinning frameworks such as the Stimulus Organism Response (S-O-R) model, Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) to assess the determinants of M-commerce usage during COVID-19 times. Besides direct effects, the study examines the mediating role of behavioral intention in affecting the relationship between a few external stimuli, internal states (of the organism) and M-commerce usage (the response). The study has also examined the moderating role of habitual behavior in the relationship between behavioral intention and M-commerce usage.

Data were gathered from 312 customers through an online survey using a structured questionnaire. PLS-based SEM, using Smart PLS 4.0, was employed to calibrate the measurement and structural models.

The study found that stimuli like social influence, perceived ease of use and perceived value substantially affected M-commerce usage. Behavioral intention has been found to mediate these cause-and-effect relationships partially or fully among the subject constructs. Additionally, a significant negative but weak moderating impact of habit (or habitual behavior) on the relationship between behavioral intentions and M-commerce usage has been corroborated.

Several studies have investigated the factors influencing the adoption and continued usage of M-commerce services while appealing to diverse theoretical frameworks. However, more research has yet to be expended to arrive at an integrated explanation grounded in these theoretical frameworks to examine the dynamics of M-commerce usage in tempestuous times like the COVID-19 outbreak. The most significant (counterintuitive) findings have been suppressing the effects of otherwise crucial elements like perceived security and habit in prompting M-commerce usage in the face of the socio-psychological pressures stemming from COVID-19 restrictions and consumers' lack of digital readiness. The study's outcomes offer several theoretical and practical implications for researchers, managers, practitioners, businesses and policymakers to develop effective strategies to mature M-commerce usage among the masses, especially during unusual times like COVID-19.

This study proposes a new comprehensive model of entrepreneurial intentions (EIs) that enhances the understanding of the crucial entrepreneurial personality traits. This study also examines how entrepreneurial family history, gender and discipline moderate the relationship between the key entrepreneurial personality traits and EIs of university students.

The study introduces a new combination of important entrepreneurial personality traits, theoretically following the theory of planned behaviour (TPB). The data are collected using an entrepreneurial intention questionnaire and analysed with structural equation modelling (SEM) over a sample of 297 university students from Pakistan.

The findings highlight that one of the notable contributions to assessing EI is the negative impact of foreseeable challenges (FCs), resulting in negative EIs among university students of our sample. The authors also found significant moderating roles of gender, discipline and entrepreneurial family history in strengthening the relationship between entrepreneurial traits and EIs.

The study contributes both to the existing empirical and theoretical literature by examining a key set of entrepreneurial personality traits leading to enhance EIs. The results may also assist academicians to discover new ways for developing entrepreneurial traits among university students.

Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

This study aims to theoretically discuss and empirically test the mediating mechanism of psychological distress and the moderating effects of Islamic work ethics (IWE) in the relationship between despotic leadership and adaptive performance.

A three-wave survey was used to gather the data from middle managers and their supervisors of construction firms in Pakistan. The final sample consisted of 304 respondents and data analysis was performed through SEM analysis.

Despotic leadership enhances employees’ psychological distress which results in a negative impact on adaptive performance. In addition, IWE played a buffering role in mitigating the harmful impacts of despotic leadership on adaptive performance.

The study is among the pioneers that have investigated how despotic leadership impacts employees’ adaptive performance via the underlying mechanism of psychological distress through the conservation of resources and social exchange theory lens.

Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups.

Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up.

The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues.

The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups.

This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines.

The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.

This study examines the relationship between green psychological benefits and green apparel purchase behavior using stimulus–organism–response (S-O-R) theory and a serial multiple mediation model.

Data were collected from 250 Lithuanians using a standardized questionnaire. Convergent and discriminant validity analyses were performed to ensure validity and reliability, and variable relationships were assessed using structural equation modeling.

The findings revealed utilitarian environmental benefits and warm glow benefits positively impacted Generation Z's (Gen Z's) attitudes toward green apparel. In contrast, the self-expressive benefits had no effect. In addition, attitude and purchase intention significantly predict green apparel purchase behavior. Attitudes and purchase intentions are crucial as serial mediators between green psychological benefits and green apparel purchase behavior.

These findings provide valuable insights for policymakers in Lithuania and highlight the importance of emphasizing the psychological benefits to encourage the purchase of green apparel. Moreover, policymakers and marketers should design apparel products that appeal to Gen Z, promoting green apparel adoption. By leveraging the stimulus–organism–response (S-O-R) theory, this research contributes to understanding pro-environmental behavior. It bridges the gap between attitudes, intentions and actual behavior in sustainable fashion research.