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Building on social cognitive theory and self-determination theory, this study aims to discern the innovative work behaviors of organizational employees as the process by which they generate, develop and implement new and valuable ideas, practices, products or procedures shaped by entrepreneurial leadership by reinforcing intrinsic motivation and creative self-efficacy under the boundary condition of a firm’s innovative climate.

This study used partial least squares-based structural equation modeling on a sample of 203 employees of small and medium-sized enterprises operating in Saudi Arabia.

This study found that entrepreneurial leadership improves employees’ innovative work behavior by successively enhancing their intrinsic motivation and creative self-efficacy. Furthermore, the analysis confirmed that a firm’s innovative climate significantly moderates the strength of the indirect mediation effect between entrepreneurial leadership and employees’ innovative work behavior through sequential mediation.

The findings of this study yield substantial theoretical and practical implications resulting from a fine-grained understanding of the instrumentality of entrepreneurial leadership in fostering employees’ innovative work behavior. Effectively orchestrating these psychological mechanisms could enable entrepreneurial leaders to alleviate their behaviors.

This is an original study that outlines the importance of aligning entrepreneurial leadership and an innovative climate to shape intrinsic motivation and creative self-efficacy in employees’ innovative work behavior. It demonstrates how entrepreneurial leadership enhances innovative work behavior through the sequential mediation of intrinsic motivation and creative self-efficacy under the boundary condition of an innovative climate.

There is an increasing multitasking expectation from tourism and hospitality managers, including hotel managers. There has been a significant amount of research investigating various aspects of multitasking. Yet, there is no scale to measure the willingness and tendency of hotel employees to engage in multitasking.

A rigorous scale development process was followed. After a pre-test with 218 hotel employees, data were collected from 646 employees in tourist destinations in Türkiye, including Kusadasi, Antalya, Ankara, Bodrum, Didim, Istanbul, Fethiye and Marmaris. The nomological validity of the scale was tested by examining multitasking’s effect on role clarity.

A multitasking scale with five dimensions (accomplishment, customer satisfaction, difficulty, fear and workload) and 16 items has been developed to determine the multitasking orientations of hotel employees. It was also discovered that multitasking was a good predictor of employee role clarity.

The scale enables hotel managers to evaluate multitasking ability and willingness during recruitment and address challenges like performance, motivation and stress. It supports HR adjustments to enhance employee and customer satisfaction.

Existing multitasking scales, primarily focused on media multitasking, are not comprehensive for employees, and no specific scale exists for hotel employees who frequently multitask. This scale offers valuable insights for HRM and service quality improvement. Forced multitasking, driven by fear of career jeopardy, can lead to negative outcomes such as role ambiguity, reduced performance, motivation and job satisfaction.

The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.

A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (N = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.

The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.

While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.

This study aims to analyse the relationship between a patent’s network position in a knowledge search network and the likelihood and speed of patent transactions. Additionally, it explores whether patent scope moderates these relationships.

In this empirical study, the authors collected a sample of patents in the artificial intelligence industry over the period of 1985–2018. Then, the authors examined the direct roles of degree centrality, betweenness centrality and closeness centrality on the likelihood and speed of patent transactions and the moderating role of patent scope in the knowledge search network using the logit and accelerated failure time models.

The findings reveal that degree centrality positively affects both the likelihood and speed of patent transactions, while betweenness centrality enhances the likelihood, and closeness centrality significantly boosts both. However, regarding the speed of patent transactions, closeness centrality is the most impactful, followed by degree centrality, with no significant influence of betweenness centrality. Additionally, the patent scope moderates how betweenness centrality affects the likelihood of transactions.

This study has limitations owing to its exclusive use of data from the Chinese Intellectual Property Office, lack of visibility of the confidential terms of most patent transactions, omission of transaction directionality and focus on a single industry, potentially restricting the breadth and applicability of the findings. In the future, expanding the data set and industries and combining qualitative research methods may be considered to further explore the content of this study.

This study has practical implications for developing a better understanding of how network structure in the knowledge search network affects the likelihood and speed of patent transactions as well as the identification of high-value patents. These findings suggest future directions for patent holders and policymakers to manage and optimise patent portfolios.

This study expands the application boundaries of social network theory and the knowledge-based view by conducting an in-depth analysis of how the position characteristics of patents within the knowledge search network influence their potential and speed of transactions in the technology market. Moreover, it provides a theoretical reference for evaluating patent value and identifying high-quality patents by quantifying network positions. Furthermore, the authors construct three centrality measures and explore the development of patent transactions, particularly within the context of the developing country.

This paper aims to examine the strength characteristics of a stressful event (i.e. novelty, disruption, and criticality) as factors that drive people’s social media use for seeking different types of supportive resources (i.e. emotional, appraisal, informational, and instrumental support) to facilitate emotion-focused and problem-focused coping. We further assess the impact of different types of social support obtained via social media use on people’s coping effectiveness.

Our study uses an online survey collecting data at two points in time from 291 social media users during the COVID-19 pandemic. Structural equation modeling was used for data analysis.

Empirical results reveal the usefulness and limitations of social media use as a coping mechanism. All three event strength characteristics influence people’s social media use for both emotion-focused and problem-focused coping. Event novelty motivates people’s pursuit of informational support on social media, event disruption drives social media use for seeking all four types of support, and event criticality motivates social media use for seeking emotional and informational support. However, only emotion-focused resources – emotional support and appraisal support – are found to significantly affect people’s coping effectiveness.

Our study contributes to a better understanding of the role played by social media when people cope with a stressful event. Applying the three characteristics of event strength allows us to identify people’s need for different supportive resources depending on how they perceive the event. Our analysis of the main and mediating effects of the four types of social support shows that not all types of social support can significantly enhance users’ coping effectiveness.

The study examines the impact of various aspects of channel integration quality, personalisation and perceived warmth on behavioural outcomes through customer engagement in omnichannel retailing.

This study is based on the responses of 458 participants, gathered using purposive and snowball sampling methods. PLS-SEM and FIMIX-PLS have been used to examine the heterogeneity in respondents’ views.

The findings emphasise the favourable influence of various facets of omnichannel strategy on customer engagement, which enhances brand affection, leading to stickiness and willingness to pay price premium. Furthermore, identifying three separate customer categories provides detailed insights into how omnichannel aspects appeal to consumer preferences.

The findings underscore the need to use customised approaches to cultivate lasting relationships with consumers, emphasising the potential of omnichannel retailing in harmonising business success and consumer sentiments. Retailers can identify areas of dissatisfaction within specific segments and eventually focus on improving these areas to provide a seamless experience and increase engagement.

This paper offers a distinctive contribution to the domain of omnichannel retailing by employing structural equation modelling (SEM) along with FIMIX-PLS to explore respondent heterogeneity. In addition to the transactional aspects, this study investigates the crucial elements, including warmth and personalisation strategies and how these influence the holistic customer journey, including their emotional connection with the brand in the omnichannel retailing environment, thereby advancing knowledge in the field and providing relevant implications for industry practice.

Turnover intention is a critical predictor of an employee’s turnover behaviour. A high level of turnover rate significantly affects the productivity and morale of an enterprise. Previous research has indicated that job satisfaction plays a critical role in influencing an employee's turnover intention, but the underlying factors related to job satisfaction remain under-explored, which impedes the development of effective strategies for reducing turnover intention. In addition, little research examined job satisfaction and turnover intention in the context of the COVID-19 pandemic, specifically in the Chinese construction industry. This study aims to investigate the impact of job satisfaction on turnover intention among professionals in the construction industry.

A questionnaire survey was employed to collect viewpoints from 449 professionals in the Chinese construction industry, followed by descriptive analysis, correlation analysis and structural equation modelling analysis to derive results.

The findings indicate that professionals in the industry generally have a slightly high level of job satisfaction while a slightly low level of turnover intention in the special period of the pandemic outbreak. Leadership and management, training and career development and interpersonal relationships are critical underlying factors leading to their turnover intention. Although demographic factors have no moderating effect between job satisfaction and turnover intention, among them, age, marital status and years of working experience have strongly positive relationships with job satisfaction while significantly negative relationships with turnover intention.

The findings provide valuable insights to fully understand the critical factors leading to turnover intention from the perspective of job satisfaction, which is helpful in developing effective measures to address the turnover problems for enterprises in the Chinese construction industry and those industries with similar characteristics in other regions.

Compared to traditional (domestic) e-commerce consumers, cross-border electronic commerce (CBEC) consumers may face greater information asymmetry in the CBEC purchase process. Given this background, however, the literature has paid limited attention to the informational antecedents that influence consumers' perceptions of transaction costs and their CBEC purchase intentions. To fill this gap, this study integrates the elaboration likelihood model (ELM) and transaction cost theory (TCT) to develop a model for exploring how product (website informativeness, product diagnosticity and website interactivity as the central route) and external (country brand, website policy and vendor reputation as the peripheral route) informational antecedents affect consumers’ evaluations of transaction costs in terms of uncertainty and asset specificity and their CBEC purchase intentions.

This study employs a survey approach to validate the model with 766 Generation Z CBEC consumers based on judgment sampling. The partial least squares (PLS) technique is adopted for data analysis.

The results show that all the proposed central and peripheral informational antecedents reduce consumers’ perceptions of uncertainty and asset specificity, which in turn negatively influences their CBEC purchase intentions.

Through this investigation, this study increases our understanding of how product and external informational antecedents affect consumers’ evaluations of transaction costs, which subsequently determine their CBEC purchase decisions. This study offers theoretical contributions to existing CBEC research and has practical implications for CBEC organizations and managers.

This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time.

This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis.

This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

This paper aims to understand how quantum leaders influence employee work behavior through effective tasks.

In this study, 516 questionnaires were collected using the interval data method to explore the triggering mechanisms and paths of emerging quantum leadership on constructive deviance.

The findings indicate that quantum leadership promotes constructive deviance through facilitating recovery experience (affective path), job crafting (task path) and the chained mediation path between the two. Additionally, the moderating effect of openness to experience strengthens the pathways between quantum leadership and recovery experience, and between quantum leadership and job crafting.

This study focuses closely on the mechanism of leadership behavior on employees, neglecting the psychological state and behavior of the leader as a key resource element in the work environment. Quantum leadership emphasizes value-bound characteristics, so the role played by quantum leaders may vary in different cultures and values.

First, this study calls for the organizational management focusing on the advantages of quantum leadership thinking and its positive effects in practice. Second, the mediating mechanisms of recovery experience and job crafting provide insights into how quantum leadership can be used to enhance constructive deviance. Third, this study elucidates how individual responses to organizational environment and leadership style vary in management practices. Our study helps managers better understand how individual characteristics, such as openness to experience, influence managerial behavior.

This study enriches the qualitative research on emerging “quantum” perspectives of leadership, expands the mechanism of employee constructive deviance and highlights the need for organizations to take measures that encourage constructive deviance by their employees, as this can lead to high-quality and long-term growth.

Based on conservation of resources theory, authors revealed the mechanisms by which quantum leadership influences employees’ constructive deviance, confirming the mediating role of recovery experience and job crafting as well as the moderating role of openness to employee experience. We explored the moderating mechanisms of the individual trait of openness to experience in the quantum leadership-to-job crafting and the recovery experience-to-job crafting.