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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 extend our knowledge of how leadership shapes the consequences of team age diversity. Specifically, we adopt a relational perspective on leadership to examine how two distinct aspects of LMX composition among team leaders and their team members—i.e. team LMX quality and team LMX differentiation—affect the link between age diversity and team performance.

Hypotheses are tested via ordinary least squares regression and data for 64 work teams at a major hospital, which were provided by 526 team members and their respective team leaders.

Results reveal that team LMX quality and LMX differentiation both qualify the performance implications of team age diversity. While team LMX quality has a positive moderating effect, the moderating influence of team LMX differentiation is negative.

To reap the performance potential of age diversity, leaders need to serve as role models by investing in high-quality relationships with all their team members. When leading age-homogenous teams, leaders may consider differentiating their LMX relationships.

The present study contributes to a better understanding of the interplay between leadership and age diversity and helps to extend our knowledge of LMX as a team-level phenomenon.

To reduce the wheel maintenance costs caused by wheel wear and to transition from traditional periodic maintenance to condition-based maintenance for railway freight wagons, it is necessary to investigate the prediction of wheel wear and understand the evolution rule of wheel profile wear.

This paper established a wheel wear prediction model for railway freight wagons based on Archard’s wear theory and proposed a prediction method that combines vehicle system dynamic, interpolation iteration and intelligent simulation. The wear coefficients in the model were obtained through wheel wear tests by using the roller rig. The model’s effectiveness was further verified through line testing and simulation models, and the corrected wear coefficient can be used for wear prediction of heavy-haul freight wagons in China.

The wheel wear prediction showed that the results of the wheel wear prediction model by adopting the wear coefficients obtained from the roller rig tests are close to the actual wheel wear, with the difference of the maximum in wear depth at the nominal rolling circle being within 7%.

This paper proposed a method that can establish a database of wheel wear coefficients for predicting wheel wear of railway freight wagons under similar operating conditions. The revised wear coefficient can be used for wear prediction of heavy-haul freight wagons in China.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0329/

Due to augmented reality (AR) technology improvements, the retail industry has embraced smart retailing as its primary business model. Therefore, organizations must comprehend the intricacies of AR adoption to persuade clients to adopt this revolutionary technology effectively. Thus, the current study proposes and evaluates a comprehensive model that includes unified theory of acceptance and use of technology (UTAUT2), privacy concerns, physical risks and technological anxiety to predict customers’ intention to use AR apps in the retail industry in the Egyptian context.

The current study examines 398 responses from Egyptian shoppers using partial least squares structural equation modeling (PLS-SEM). Snowball sampling was employed in the existing study. The participants were selected using a “self-selection” strategy, which is an excellent method for research investigations in which the participants freely participate.

Consumers’ intentions to use AR apps in retail settings are positively impacted by task-technology fit, performance expectation, effort expectancy, social influence, facilitating conditions and hedonic motivation. Conversely, privacy and physical risks negatively affect customers’ intention to use AR apps in retail. Furthermore, technological anxiety serves as a moderator factor in these connections.

To the best of our knowledge, the current study is considered the first to test the role of UTAUT2, privacy and physical risks on users' behavioral intentions toward adopting AR apps in retail. It also examines technological anxiety as a moderator in the retail setting.

This study aims to determine how and through what mechanisms the outward foreign direct investment (OFDI) promotion effect of the Belt and Road initiative (BRI-OFDI) affects domestic investment. It is motivated by the context that China is fostering a new development pattern, as well as by the impetus from the Belt and Road initiative for the new pattern.

Drawing on data of Chinese-listed companies, this study uses a difference-in-difference method to explore the effect of the BRI-OFDI on domestic investment and a mediation model to illustrate the mechanisms.

The BRI-OFDI has a significantly positive effect on domestic investment, meaning that the Belt and Road initiative's OFDI promotion effect crowds in domestic investment. The results are heterogeneous: the crowding-in effect mainly exists in non-state-owned and technology-intensive enterprises, while a crowding-out effect is seen in state-owned and labor-intensive enterprises. The easing of corporate financing constraints and the expansion of market demand are two important mechanisms.

This study uses the Belt and Road initiative as an exogenous shock to investigate the impact of the initiative-induced OFDI promotion effect on domestic investment. It addresses the potential endogeneity issue confronting the studies on the relationship between OFDI and domestic investment in the literature. The authors focus on the possible spillover effects of the Belt and Road initiative discussing the impact of the BRI-OFDI on domestic investment from the micro-firm perspective. It offers a new perspective to objectively assess the initiative's policy effect.

India’s efforts to achieve large-scale financial inclusion are challenged by growing concerns related to the stability and profitability of the overall banking system. Although a rising dependence on digital finance and the acceptability of wallet-based payments was also visible during the post-demonetisation era and the coronavirus disease 2019 (Covid-19) pandemic, issues related to bank stability and profitability could be addressed through the extension of digital financial services (DFS), making the system more transparent and resilient to internal as well as external perturbations.

The study provides empirical evidence to support the bank digitalisation and extension of DFS to achieve financial inclusion. The impact of digital finance, macroeconomic aspects and microprudential factors (bank specific) on stability is examined for selected Indian banks using quarterly observations spanning 2011Q1–2020Q4. The relationship between banking stability (measured through z-score and Sharpe ratio) is established with digitalisation factors using the instrumental variable regression two-stage least square -based panel regression. Robustness is tested using panel vector autoregression models.

Digital transactions including mobile banking, National Electronic Fund Transfer (NEFT) and Real Time Gross Settlement (RTGS) prove vital and significant in establishing stable banking activity in the Indian context across both public and private banking institutions. Access to broadband services provides a positive impetus in this direction. These issues could be addressed through the extension of DFS making the system more transparent and resilient to internal as well as external perturbations. As an implication, the adoption of innovative means of transaction could empower the financially excluded sections of society.

The novelty of this study is to bring the discussion of digitalisation and bank stability (riskiness) in the Indian context to light. As the first of its kind, this study paves the way for providing an empirical justification for promoting and achieving bank stability through digitalisation in the era of post-demonetisation and Covid-19.

This research aims to explore the psychological constructs of hope and collective efficacy as fundamental mechanisms through which authentic leadership affects follower outcomes.

The investigation employs a two-study approach, with two samples of 481 employees from various teams in the United States and South Korea. In two studies, we examine the proposed hypotheses, focusing on the mediation of follower hope and the moderation by collective efficacy in the relationship between authentic leadership and OCB, which is bifurcated into altruism (OCBI) and compliance (OCBO).

The findings reveal that follower hope mediates the relationship between perceived authentic leadership and OCB. This mediation confirms the integral role of hope in translating authentic leadership into positive follower behaviors. Additionally, the study shows a significant moderating effect of collective efficacy on the relationship between authentic leadership and follower hope. This moderation underscores the importance of collective beliefs in the capabilities of a group in enhancing the impact of authentic leadership.

This research highlights the understudied roles of hope and collective efficacy in the context of authentic leadership. It offers a novel perspective on how hope and collective efficacy influence followers’ OCB. The study proposes a necessity for further exploration of these constructs, emphasizing leadership dynamics and employee behavior.

The paper aims to extend the work–home resources model by identifying self-esteem as the mechanism and marital power as the moderator on the relationship between challenge/hindrance stressors and work-to-family enrichment (WFE).

This paper conducted a three-phase paper survey. Path analytic models were used to test the hypotheses using Mplus 8.10.

Challenge stressor (workload) enriches employees’ family through increased self-esteem, while hindrance stressor (role conflict) threatens WFE through decreased self-esteem. Marital power strengthens the positive relationship between self-esteem and enrichment as well as the indirect relationships between job stressors and WFE.

This study reveals how and when job stressors increase WFE.

The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs.

The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship.

The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation.

The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.

This review aims to present the problems facing the rubber industry, including a shortage of raw materials such as fillers and ways to overcome them by finding renewable, environmentally friendly natural alternatives that can be used as fillers in the rubber industry, with the aim of preserving the environment from pollution and reducing the cost of products. This research also presents new varieties of eco-friendly and renewable fillers for rubber composites including agricultural waste, biochar and biofiller and also presents methods of treating them to improve the mechanical properties of the composites.

Agricultural waste is a sustainable energy resource that possesses various potential applications, such as its utilization in the production of construction materials and multifunctional components for automobiles. Researchers have focused on how to channel agricultural waste fibers into valuable materials while preserving environmental and human health by considering their potential for industrial use. These fillers have an excellent chance to replace or supplement the current carbon black derived from petroleum or the undesirable bulky mineral fillers. To improve the efficiency of waste natural fibers in rubber composites, several types of surface treatment techniques have been investigated including alkaline treatment, silane treatment and permanganate treatment.

Adding 10 phr of cereal straw to natural rubber increases the tensile strength and hardness compared to blank natural rubber, as the tensile strength increased from 13.53 MPa for natural rubber to 15.3 for rubber containing 10 phr of untreated cereal straw filler and became 19.6 MPa in the case of using filler treated with peroxide. Also, tensile strength, tensile modulus and elongation at break of the kenaf fiber-filled natural rubber composites are higher for composites with silane coupling agent. The utilization of sustainable biofillers as reinforcement in rubber composites has shown promising results in enhancing the performance of tires and other rubber products.

This review presents a new approach to evaluating the effect of using eco-friendly and sustainable reinforcing fillers for the rubber industry to preserve the environment and reduce production costs.