bluuebunny/crossref_metadata_2025_split huggingface dataset:
The mediation effect of trust and justice on the relationship between servant leadership and employee job satisfaction: an empirical findings from private universities in Kuwait
Authors: ElBayaa Nourhan , Alzoubi Yehia Ibrahim , Abboud Elsa 
Published: June 2024

PurposeHigher education institutions now place a greater emphasis on servant leadership, organizational trust, and justice. This study evaluates the function of organizational and leader trust and justice in mediating the relationship between employee job satisfaction and servant leadership in Kuwait's private universities.Design/methodology/approachEmployees from two private higher education sectors in Kuwait provided 205 valid responses to the study's closed-ended survey, which was given to 240 workers. The job satisfaction and servant leadership, leader's trust and justice and servant leadership, leader's trust and justice and job satisfaction, and the mediating effect of trust and justice on the relationship between servant leadership and job satisfaction among employees in Kuwait's private universities—all four variables—were examined using the simple random procedure method. Partial least squares structural equation modeling was used for data analysis.FindingsThe findings provide evidence supporting the positive effects of servant leadership on employee job satisfaction. Moreover, it provided evidence supporting the positive relationship between servant leadership and organizational trust and justice. The findings also showed a positive correlation between organizational trust and justice and job satisfaction among staff members working in Kuwait's private higher education sector. Additionally, the results provided a partial mediation effect of organizational trust and justice on the relationship between servant leadership and employee job satisfaction.Originality/valueEmployee job satisfaction, performance, engagement, and outcomes within Kuwait's private higher education sector are significantly improved by the adoption of a servant leadership style, together with organizational and leader’s trust and justice. The findings demonstrate the significance of the servant leadership style in this industry's leadership habits for raising worker job satisfaction.
Insights into financial reporting practices in the metaverse: evidence from Islamic financial institutions in Bahrain
Authors: Sanad Zakeya 
Published: June 2024

PurposeThis study aims to assess how prepared and flexible accounting professionals are to produce financial accounts that adhere to Shariah regulations in the metaverse. The study also highlights the potential positive and negative effects of metaverse utilization on the financial reporting quality of Islamic financial institutions (IFIs).Design/methodology/approachA questionnaire was distributed to a random sample of 102 accounting professionals employed in IFIs in Bahrain.FindingsThe capacity to provide real-time reporting within the metaverse would enhance the quality and reliability of Islamic financial reporting. Furthermore, the fluctuating values of digital assets in the metaverse pose a significant challenge to ensuring accurate financial reporting. IFIs fail to create an environment suitable for transitioning to the metaverse. Moreover, the participants expressed concerns about how the rapid expansion of the metaverse may challenge the adherence to Shariah governance principles in virtual financial transactions. They further recommended that the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) establish explicit directives on Shariah governance in the metaverse.Practical implicationsVarious IFIs’ stakeholders, including practitioners, shareholders and employees interested in adopting the metaverse technology, can benefit from the findings of the studies. In addition, the study could help Islamic banks in Bahrain better grasp the readiness and adaptability of accounting professionals. This understanding would aid in establishing robust financial reporting standards that align with Shariah principles in the metaverse.Originality/valueThis research examines the metaverse through the lens of Islamic financial reporting, offering recent evidence on technological developments and financial reporting practices within an Islamic context. The research findings would contribute to advancing the knowledge among academics, professionals and all interested parties concerning the effects of metaverse implementation on Shariah governance principles and the quality of financial reporting. The study findings would offer policymakers and regulators in the Islamic finance sector essential insights.
Does Islamic financial literacy and motives influence the holdings of Islamic financial products? A study on bank customers in Klang Valley, Malaysia
Authors: Mahdzan Nurul Shahnaz , Zainudin Rozaimah , Wan Ahmad Wan Marhaini , Hanifa Mohamed Hisham 
Published: June 2024

Purpose
In a dual financial system where both conventional and Islamic financial institutions co-exist, the motives behind customers’ choices of financial products remain a crucial factor to comprehend. Thus, this paper aims to examine the influence of Islamic financial literacy (IFL) and motives (religious, ethical and economic) on the holdings of Islamic financial products (IFPs).

Design/methodology/approach
The sample consists of 234 bank customers in Klang Valley, Malaysia, with data obtained through a convenience sampling method. The instrument used was a digital survey that was electronically sent to respondents.

Findings
Findings reveal that IFL and religious motives positively influence IFPs, whereas economic motives negatively influence IFPs. Ethical motives have no significant impact on IFPs.

Research limitations/implications
The findings imply that IFPs attract customers due to their adherence to Islamic teachings, indicating strong religious motives. However, the negative leanings of the economic motive suggest that customers may perceive IFPs as less favourable due to higher costs and risks relative to conventional products. Islamic financial institutions must widen their efforts in educating the public regarding IFPs on the benefits of adherence to Shariah principles and at the same time improve their products’ cost-benefits.

Originality/value
This study contributes to the literature by comprehensively examining IFPs in terms of both assets and financing products. In addition, IFL is measured in an all-inclusive way, covering different dimensions of knowledge related to Islamic savings, investments, protection and financing.
The roles of team collective voice and team autonomy in promoting team innovative performance through routine changes
Authors: Hoang An L. , Phan Anh T.T. , Tran Phuong H. 
Published: June 2024

PurposeThe team collective voice (TCV) concept has received limited attention in existing research despite its potential significance, particularly within Eastern cultural contexts. Hence, this paper aims to extend the employee voice literature by conducting a comprehensive exploration of the role of TCV as opposed to individual voice (IV) in promoting team innovative performance (TIP).Design/methodology/approachThe theoretical model is tested with survey data collected among ICT employees who work in large telecommunication organizations in Vietnam.FindingsTCV was used more by participants than IV. Both IV and TCV exhibited noteworthy influences on TIP explained by the role of routine changes, with TCV serving as a full mediator for the relationship between IV and TIP. In addition, team autonomy (TA) also significantly enhanced TIP.Originality/valueBy measuring TCV as shared and consensus team voice, this study makes significant contributions to employee voice literature. It not only confirms the prevalence but also offers insightful explanations for why Vietnamese employees tend to favor TCV over IV. Additionally, the findings enrich the innovation literature by presenting a novel perspective on how employee voice can enhance TIP through the introduction of exogenous routine changes. It introduces a unique perspective on employee voice as a form of a search routine, distinct from Nelson and Winter's (1982) conceptualization of search, generating changes in lower-order routines, ultimately contributing to enhanced team innovation and performance.
Redefining creative education: a case study analysis of AI in design courses
Authors: Omran Zailuddin Mohd Firdaus Naif , Nik Harun Nik Ashri , Abdul Rahim Haris Abadi , Kamaruzaman Azmul Fadhli , Berahim Muhammad Hawari , Harun Mohd Hilmi , Ibrahim Yuhanis 
Published: June 2024

PurposeThe purpose of this research is to explore the transformative impact of AI-augmented tools on design pedagogy. It aims to understand how artificial intelligence technologies are being integrated into educational settings, particularly in creative design courses, and to assess the potential advancements these tools can bring to the field.Design/methodology/approachThe research adopts a case-study approach, examining three distinct courses within a creative technology curriculum. This methodology involves an in-depth investigation of the role and impact of AI in each course, focusing on how these technologies are incorporated into different creative disciplines such as production design, fine arts, and digital artistry.FindingsThe research findings highlight that the integration of AI with creative disciplines is not just a passing trend but signals the onset of a new era in technological empowerment in creative education. This amalgamation is found to potentially redefine the boundaries of creative education, enhancing various aspects of the learning process. However, the study also emphasizes the irreplaceable value of human mentorship in cultivating creativity and advancing analytical thinking.Research limitations/implicationsThe limitations of this research might include the scope of the case studies, which are limited to three courses in a specific curriculum. This limitation could affect the generalizability of the findings. The implications of this research are significant for educational institutions, as it suggests the need for a balanced interaction between AI's computational abilities and the intrinsic qualities of human creativity, ensuring that the core essence of artistry is preserved in the age of AI.Originality/valueThe originality of this paper lies in its specific focus on the intersection of AI and creative education, a relatively unexplored area in design pedagogy. The value of this research is in its contribution to understanding how AI can be harmoniously integrated with traditional creative teaching methods. It offers insights for educational institutions preparing for this technological transformation, highlighting the importance of maintaining a balance between technological advancements and humanistic aspects of creative education.
Digital transformation of family-owned small businesses: a nexus of internet entrepreneurial self-efficacy, artificial intelligence usage and strategic agility
Authors: Ahmad Zeshan , AlWadi Belal Mahmoud , Kumar Harish , Ng Boon-Kwee , Nguyen Diep Ngoc 
Published: June 2024

PurposeThe digital transformation of family-owned small businesses (F-OSBs) has become a critical area of research to maintain their economic contribution in today’s rapidly evolving digital landscape. This study examines the effect of internet entrepreneurial self-efficacy on the digital transformation of F-OSBs by mediating strategic agility and moderating artificial intelligence usage.Design/methodology/approachThis study employed a cross-sectional survey design to collect primary data from 378 descendent entrepreneurs of F-OSBs in Pakistan’s five major cities.FindingsThe study revealed that leadership ability, internet marketing, technology utilization, and artificial intelligence used by the F-OSBs can contribute to their digital transformation, but e-commerce ability does not. The strategic agility of the descendant entrepreneur enhances the abilities of e-commerce, leadership, and technology utilization, leading to the digital transformation of F-OSB. However, strategic agility reduces the role of Internet marketing in digital transformation. Artificial intelligence usage moderates leadership’s ability to improve strategic agility but increases technology utilization for strategic agility and digital transformation of F-OSB.Practical implicationsThe digital transformation through a combination of strategic agility and artificial intelligence can increase the F-OSBs' proactive approach to respond to changing market conditions even during economic recessions like COVID-19.Originality/valueThis study broadens the existing literature by examining the effect of descendent entrepreneur’s internet entrepreneurial self-efficacy, strategic agility, artificial intelligence usage, and their interplay on the digital transformation of F-OSB through the unified theory of acceptance and the use of technology.
A novel multi-attribute three-way decision model with three-parameter interval grey number decision-theoretic rough sets
Authors: Qiao Yu , Jian Lirong , Cai Hechang 
Published: June 2024

PurposeTo overcome the limitations of traditional multi-attribute decision making (MADM) methods, which only provide deterministic rankings of decision objects, this paper proposes a novel multi-attribute 3WD model. This model presents three-parameter interval grey number decision-theoretic rough sets (TPIGNDTRSs), aiming to offer a reasoned interpretation of loss functions in grey environments and ensure objective assessment of conditional probabilities.Design/methodology/approachFirstly, the traditional equivalence relation is replaced with the probabilistic dominance relation (PDR), categorizing decision objects into two state sets in DTRS for more objective conditional probabilities. Secondly, as the three-parameter interval grey number (TPIGN) introduces the most probable value on the basis of the traditional two-parameter interval grey number, it provides a more comprehensive method for describing grey information. Consequently, integrating TPIGN into DTRS refines the interpretations of loss functions in grey environments. Finally, by utilizing two main sorting techniques, relative kernel and degree of accuracy ranking and possibility ranking, two types of 3WD rules with TPIGNDTRSs, are constructed.FindingsThis study has successfully developed and validated a new multi-attribute 3WD model. The model was tested in two distinct domains: evaluating innovation efficiency in high-tech enterprises and recommending movies in a practical case. The findings reveal that the model can effectively integrate relevant information of high-tech enterprises, provide the government with enterprise-level assessments, and gather consumer preferences to recommend the most suitable movies.Research limitations/implicationsThis study treats the loss function as grey information in the 3WD model but overlooks the grey nature of evaluation values, limiting its applicability. Additionally, the model’s reliance on subjective expert judgments and historical data to establish the loss function may affect its objectivity. The implications of this research are that the novel model overcomes traditional MADM limitations, enhancing decision-making quality and efficiency in complex and grey scenarios. The model’s successful application in evaluating high-tech enterprises and recommending movies illustrates its dual value in both theory and practice.Originality/valueInitially, the model proposed in this study is of significant importance for the development of the 3WD field, as it successfully addresses the challenges of uncertain loss functions and unknown conditional probabilities in grey information environments. Moreover, by integrating the 3WD model with MADM problems, it has broken through the bottlenecks of traditional MADM methods, offering new perspectives and strategies for solving MADM issues. Therefore, this research not only advances theoretical research but also provides powerful tools for practical applications.
An inventory-routing optimization model for pharmaceutical supply chain with time-dependent travel time on a multi-graph network: a case study
Authors: Baghdadi Seyed Mohammad Hadi , Dehghani Ehsan , Dehghani Sadrabadi Mohammad Hossein , Heydari Mahdi , Nili Maryam 
Published: June 2024

PurposeSpurred by the high turnover in the pharmaceutical industry, locating pharmacies inside urban areas along with the high product perishability in this industry, the pharmaceutical supply chain management has recently gained increasing attention. Accordingly, this paper unveils an inventory-routing problem for designing a pharmaceutical supply chain with perishable products and time-dependent travel time in an uncertain environment.Design/methodology/approachIn this study, mathematical programming is employed to formulate a multi-graph network affected by the traffic volume in order to adapt to real-world situations. Likewise, by transforming the travel speed function to the travel time function using a step-by-step algorithm, the first-in-first-out property is warranted. Moreover, the Box–Jenkins forecasting method is employed to diminish the demand uncertainty.FindingsAn appealing result is that the delivery horizon constraint in the under-study multi-graph network may eventuate in selecting a longer path. Our analysis also indicates that the customers located in the busy places in the city are not predominantly visited in the initial and last delivery horizon, which are the rush times. Moreover, it is concluded that integrating disruption management, routing planning and inventory management in the studied network leads to a reduction of costs in the long term.Originality/valueApplying the time-dependent travel time with a heterogeneous fleet of vehicles on the multi-graph network, considering perishability in the products for reducing inventory costs, considering multiple trips of transfer fleet, considering disruption impacts on supply chain components and utilizing the Box–Jenkins method to reduce uncertainty are the contributions of the present study.
Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes
Authors: Neiroukh Suheil , Emeagwali Okechukwu Lawrence , Aljuhmani Hasan Yousef 
Published: June 2024

PurposeThis study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in the literature by exploring the mediating role of decision-making speed and quality.Design/methodology/approachDrawing upon resource-based theory and prior research, this study constructs a comprehensive model and hypotheses to illuminate the influence of AI capabilities within organizations on decision-making speed, decision quality, and, ultimately, organizational performance. A dataset comprising 230 responses from diverse organizations forms the basis of the analysis, with the study employing a partial least squares structural equation model (PLS-SEM) for robust data examination.FindingsThe results demonstrate the pivotal role of AI capabilities in shaping organizational decision-making processes and performance. AI capability significantly and positively affects decision-making speed, decision quality, and overall organizational performance. Notably, decision-making speed is a critical factor contributing significantly to enhanced organizational performance. The study further uncovered partial mediation effects, suggesting that decision-making processes partially mediate the relationship between AI capabilities and organizational performance through decision-making speed.Originality/valueThis study contributes to the existing body of literature by providing empirical evidence of the multifaceted impact of AI capabilities on organizational decision-making and performance. Elucidating the mediating role of decision-making processes advances our understanding of the complex mechanisms through which AI capabilities drive organizational success.
Environmental DNA metabarcoding reveals temporal dynamics but functional stability of arthropod communities in cattle dung
Authors: Thomassen Emil Ellegaard , Sigsgaard Eva Egelyng , Jensen Mads Reinholdt , Olsen Kent , Hansen Morten D. D. , Thomsen Philip Francis 
Published: June 2024

Abstract

Terrestrial invertebrates are highly important for the decomposition of dung from large mammals. Mammal dung has been present in many of Earth's ecosystems for millions of years, enabling the evolution of a broad diversity of dung‐associated invertebrates that process various components of the dung. Today, large herbivorous mammals are increasingly introduced to ecosystems with the aim of restoring the ecological functions formerly provided by their extinct counterparts. However, we still know little about the ecosystem functions and nutrient flows in these rewilded ecosystems, including the dynamics of dung decomposition. In fact, the succession of insect communities in dung is an area of limited research attention also outside a rewilding context.

In this study, we use environmental DNA metabarcoding of dung from rewilded Galloway cattle in an experimental set‐up to investigate invertebrate communities and functional dynamics over a time span of 53 days, starting from the time of deposition.

We find a strong signal of successional change in community composition, including for the species that are directly dependent on dung as a resource. While several of these species were detected consistently across the sampling period, others appeared confined to either early or late successional stages. We believe that this is indicative of evolutionary adaptation to a highly dynamic resource, with species showing niche partitioning on a temporal scale. However, our results show consistently high species diversity within the functional groups that are directly dependent on dung.

Our findings of such redundancy suggest functional stability of the dung‐associated invertebrate community, with several species ready to fill vacant niches if other species disappear. Importantly, this might also buffer the ecosystem functions related to dung decomposition against environmental change. Interestingly, alpha diversity peaked after approximately 20–25 days in both meadow and pasture habitats, and did not decrease substantially during the experimental period, probably due to preservation of eDNA in the dung after the disappearance of visiting invertebrates, and from detection of tissue remains and cryptic life stages.