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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.

As the role of AI on human teams shifts from a tool to a teammate, the implementation of AI teammates into knowledge-intensive crowdsourcing (KI-C) contest teams represents a forward-thinking and feasible solution to improve team performance. Since contest teams are characterized by virtuality, temporality, competitiveness, and skill diversity, the human-AI interaction mechanism underlying conventional teams is no longer applicable. This study empirically analyzes the effects of AI teammate attributes on human team members’ willingness to adopt AI in crowdsourcing contests.

A questionnaire-based online experiment was designed to perform behavioral data collection. We obtained 206 valid anonymized samples from 28 provinces in China. The Ordinary Least Squares (OLS) model was used to test the proposed hypotheses.

We find that the transparency and explainability of AI teammates have mediating effects on human team members’ willingness to adopt AI through trust. Due to the different tendencies exhibited by members with regard to three types of cognitive load, nonlinear U-shaped relationships are observed among explainability, cognitive load, and willingness to adopt AI.

We provide design ideas for human-AI team mechanisms in KI-C scenarios, and rationally explain how the U-shaped relationship between AI explainability and cognitive load emerges.

Significant interest in Integrated Management Systems (IMS), as a key area within ISO-related Management System Standards (MSS) literature, has been evident from both academia and industry over the past three decades. This study aims to map the evolution and current state of IMS research and propose possible directions for future studies.

A comprehensive content and bibliometric analysis of 846 documents from the Scopus database across the period 1995 to 2023 was conducted. This included performance analysis to track publication trends and identify key contributors, and content analysis to specify dominant research methodologies and the MSS most commonly integrated. Furthermore, science mapping techniques—such as co-authorship networks, keyword co-occurrence analysis, and bibliographic coupling—were utilized to outline the collaborative networks and the conceptual and intellectual structure of the field.

The study identifies three principal IMS research themes: the practical implementation of IMS, their role in promoting sustainability and social responsibility, and their impact on continuous performance improvement. It also highlights the field’s evolution and key research constituents—including influential works, prolific authors, leading academic institutions and countries, and top publishing journals. It further reveals that IMS research exhibits strong collaboration across authors and countries, and a rich methodological plurality, notably with a marked increase in empirical surveys in recent years. Additionally, it identifies the most frequently referenced MSS for integration, prominently featuring ISO 9001, ISO 14001, and ISO 45001/OHSAS 18001.

This study is original in its application of a dual analytical approach—bibliometric and content analysis—to provide a holistic overview of IMS research. It offers new insights into the integration of diverse MSS and proposes several promising paths for future research. Among the most prominent are standardizing IMS fundamental specifications, conducting more empirical research with advanced methods to evaluate the effects of MSS integration, providing practical support for organizations in IMS implementation through tailored methodologies and tools, and exploring the potential of Industry 4.0 and 5.0 technologies to advance IMS practices.

The present study aims to develop glacier inventories for year 1992 and 2023 in Suru Sub Basin and classify them based on Global Land Ice Measurement from Space (GLIMS). The retreat analysis is carried out for 29 glaciers based on their snout positions.

Landsat TM/OLI sensors data were used along with ASTER DEM to identify and map glacier boundary which was further validated by Google Earth imagery. The retreat was calculated using centreline method for demarcating retreating snout based on elevation change. The field measurement was further used to validate the snout change in Parkachik Glacier.

In total, 214 glacier were identified in 2023 with 52.8% north facing glaciers. There is a significant decline of 24.9% area in 31 years. The average glaciers retreat is recorded to be 23.6% in all the glaciers between 1992 and 2023. Snout retreat of Glacier-18 shows highest retreat of 45.8 m/yr.

The study used a long-term data to calculate glacier retreat pattern with combination of satellite data and field measurement which adds ground truth and validate the study. Findings may help policymakers and stakeholders to understand climate adaptation strategies in the region.

This quantitative study, rooted in the resource-based view (RBV) theory, aims to investigate the relationships among green transformational leadership, green process innovation, employee environmental beliefs and firm environmental performance in Italian manufacturing companies. This study unfolds a nuanced narrative of how strategic green transformational leadership, coupled with environmentally conscious processes, can synergistically enhance an organization's overall environmental performance.

The multi-item survey questionnaire used in this study was distributed to leaders in a diverse sample of Italian companies. A total of 296 valid responses were obtained from the surveys. The collected data were analysed using statistical methods such as correlation, confirmatory factor and structural equation modelling using SPSS software.

The direct influence of green transformational leadership on firm environmental performance is supported. It also confirms the positive impact of green process innovation on environmental outcomes. It identifies green process innovation as a mediator between green transformational leadership and firm environmental performance, and employee environmental beliefs moderate the link between green transformational leadership and firm environmental performance.

This research contributes by advancing understanding within the RBV framework by elucidating the specific mechanisms through which green transformational leadership programs promote green process innovation, enhance environmental performance for organizational success, achieve sustainability goals and foster collaboration and stakeholder engagement.

This study emphasizes the significance of establishing green leadership programs, encouraging green process innovation and systematically monitoring environmental performance to accomplish organizational success and sustainability goals.

This study presents a novel and original examination by integrating the RBV theory on the relationships between green transformational leadership, green process innovation and firm environmental performance, shedding new light on the role of employee environmental beliefs.

This research aims to highlight the connection of entrepreneurial leadership with improved organizational outcomes through employee-driven factors of creativity and behavior. It addresses certain existing research gaps concerning the interaction of leadership practices with organizational performance.

A quantitative cross-sectional design was employed to analyze the interaction among the study variables. Data was collected from 414 employees across various industries in Punjab, Pakistan through an adapted questionnaire which was in structured form. Smart Pls 4 and SPSS were used for analysis of the collected data.

The findings indicate positive and significant effect of entrepreneurial leadership on organizational performance, wherein employee creativity and behavior are the key mediators. The study shows that high levels of employee creativity and positive behavior are directly linked to improved performance metrics in organizations led by entrepreneurial leaders. This consequently underscores the need of creating an environment which encourages creativity and supports positive employee behaviors required for entrepreneurial leadership.

This research enriches the academic discourse by quantitatively confirming the mediating role of employee creativity and behavior between entrepreneurial leadership and organizational performance. Unlike previous studies which focused mainly on direct effects or less quantifiable leadership aspects, this study provides empirical evidence supporting a model where employee attributes significantly impact organizational success under entrepreneurial leadership. This insight is valuable for leaders and practitioners aiming to utilize entrepreneurial leadership in dynamic business settings.

This study aims to examine the impact of an organization’s internal and external corporate social responsibility (CSR) initiatives on employee job satisfaction and organizational commitment.

Drawing on the social identity perspective, the authors proposed and tested a mediation model to understand the psychological mechanisms underlying the effects of CSR. The study sample comprised 263 employees from Italian manufacturing firms.

Our findings indicate that external CSR orientation is positively associated with employee job satisfaction and organizational commitment. Furthermore, the mediating effect of job satisfaction partially explains the positive relationship between external CSR orientation and organizational commitment. Moreover, we found that the positive impact of external CSR on employee outcomes is strengthened when combined with internal CSR.

This research has practical and theoretical implications for organizations seeking to enhance employee engagement and commitment through CSR initiatives and sheds light on how CSR can shape employee attitudes and behaviors toward the organization.

This study brings a novel contribution to the field by examining the impact of both internal and external CSR initiatives on employee job satisfaction and organizational commitment.

Lean manufacturing (LM) is essential for businesses to remain competitive in today’s global economy and to meet the needs of consumers from three separate perspectives: price, dependability and production schedules. A fundamental goal of this research is to how lean management in manufacturing organization may improve product value for the customer, address customer concerns, minimize costs and boost the firm’s profitability.

The extensive literature analysis identified a number of LM enablers and manufacturing industry factors that might favorably affect the organizations operational performance. Initially, 16 enablers of LM and 16 factors operational performance were identified, which were later reduced to 8 factors each. After that, Grey-DEMATEL technique was applied to investigate the relationships between the factors by categorizing elements into two groups (cause and effect) and ranking them within each category.

The results show that F4 (Work Force Development) and F7 (Six Sigma) were the key enablers of LM. Similarly, F12 (Maintain Better inventory control/optimize inventory level) and F14 (Reduce conversion cost) are the key effect factors of operational performance. It eliminates inefficiencies in the production process and internal storage requirements while retaining a high level of dependability and flexibility in response to customer demands.

LM has unquestionably been a popular method for improving the production efficiency of industrial sectors for the last two decades. Despite the fact that LM has helped several firms reduce waste and thereby improve a range of efficiency metrics, many businesses are still struggling to effectively transform into lean firms. While previous studies have explored LM’s significance and its influence on different aspects of organizational metrics in various industries, this research pioneers in probing into the nuanced relationship between LM enablers and OP in a critical and procedure-intensive industry.

This article investigates the long-run impact of remittance inflows on agricultural productivity (AGP) in emerging Asian economies (Bangladesh, Sri Lanka, Malaysia, India, Nepal, Philippines, Pakistan, and Vietnam), employing a panel dataset from 2000 to 2018.

This study initially applies cross-sectional dependence (CSD), second-generation unit root, Pedroni, and Westerlund panel co-integration techniques. Next, it uses the augmented mean group (AMG) and common correlated effect mean group (CCEMG) methods to investigate the long-term impact of remittance inflows on AGP while controlling for several other important determinants of agricultural growth, such as cultivated area, fertilizers, temperature change, credit, and labor force.

The empirical findings are as follows: The results first revealed the existence of CSD and long-term co-integration between AGP and its determinants. Second, remittance inflows significantly boosted AGP, indicating that remittance inflows played a crucial role in improving AGP. Third, global warming (changes in temperature) negatively impacts AGP. Finally, additional critical elements, for instance, cultivated area, fertilizers, credit, and labor force, positively affect AGP.

This study suggests that policymakers of emerging Asian economies should develop an exclusive remittance-receiving system and introduce remittance investment products to utilize foreign funds and mitigate agricultural production risks effectively.

This is the first empirical examination of the long-term impact of remittance flows on agricultural output in emerging Asian economies. This study utilized robust estimation methods for panel data sets, such as the Pedroni, Westerlund, AMG, and CCEMG tests.

This study aims to identify calendar anomalies that can affect stock returns and asymmetric volatility. Thus, the objective of this study is twofold: on the one hand, it examines the impact of calendar anomalies on the returns of both conventional and Islamic indices in Indonesia, and on the other hand, it analyzes the impact of these anomalies on return volatility and whether this impact differs between the two indices.

The authors apply the GJR-generalized autoregressive conditional heteroskedasticity model to daily data of the Jakarta Composite Index (JCI) and the Jakarta Islamic Index for the period ranging from October 6, 2000 to March 4, 2022.

The authors provide evidence that the turn-of-the-month (TOM) effect is present in both conventional and Islamic indices, whereas the January effect is present only for the conventional index and the Monday effect is present only for the Islamic index. The month of Ramadan exhibits a positive effect for the Islamic index and a negative effect for the conventional index. Conversely, the crisis effect seems to be the same for the two indices. Overall, the results suggest that the impact of market anomalies on returns and volatility differs significantly between conventional and Islamic indices.

This study provides useful information for understanding the characteristics of the Indonesian stock market and can help investors to make their choice between Islamic and conventional equities. Given the presence of some calendar anomalies in the Indonesia stock market, investors could obtain abnormal returns by optimizing an investment strategy based on seasonal return patterns. Regarding the day-of-the-week effect, it is found that Friday’s mean returns are the highest among the weekdays for both indices which implies that investors in the Indonesian stock market should trade more on Fridays. Similarly, the TOM effect is significantly positive for both indices, suggesting that for investors are called to concentrate their transactions from the last day of the month to the fourth day of the following month. The January effect is positive and statistically significant only for the conventional index (JCI) which implies that it is more beneficial for investors to invest only in conventional assets. In contrast, it seems that it is more advantageous for investors to invest only in Islamic assets during Ramadan. In addition, the findings reveal that the two indices exhibit lower returns and higher volatility, which implies that it is recommended for investors to find other assets that can serve as a safe refuge during turbulent periods. Overall, the existence of these calendar anomalies implies that policymakers are called to implement the required measures to increase market efficiency.

The existing literature on calendar anomalies is abundant, but it is mostly focused on conventional stocks and has not been sufficiently extended to address the presence of these anomalies in Shariah-compliant stocks. To the best of the authors’ knowledge, no study to date has examined the presence of calendar anomalies and asymmetric volatility in both Islamic and conventional stock indices in Indonesia.