bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the role of exploitative leadership in inhibiting service innovative behavior: a moderated mediation model
Authors: Zhao Lijing , Bao Shashan , Jolly Phillip M. , Su Yi 
Published: September 2024

Purpose
The purpose of this study was to investigate how and when exploitative leadership hinders hospitality employees’ service innovative behavior. Based on the conservation of resource theory, the authors examined the mediating role of relational energy and the moderating impact of sensitivity to interpersonal mistreatment on this relationship.

Design/methodology/approach
Two-wave data collection from 54 hotel leaders and 266 subordinates in China resulted in 266 supervisor–subordinate matched data sets. Structural equation modeling analyses were used for data analysis.

Findings
Exploitative leadership is negatively related to hospitality employees’ service innovative behavior via diminished employee relational energy. Furthermore, employees with high sensitivity to interpersonal mistreatment experience intensified negative impact of exploitative leadership on relational energy and subsequent service innovation behavior.

Research limitations/implications
Hotel management must recognize and mitigate the effects of exploitative leadership to foster an environment conducive to service innovation. In addition, hotel managers should be attuned to the employees’ relational energy, recognizing its essential role in driving innovative behavior.

Originality/value
This research contributes insights into how exploitative leadership style impedes employee service innovation behavior. It further illuminates the role of relational energy as a critical mediator in this relationship.
Drivers of social sustainability practices: quality management, human capital and innovation
Authors: Tarí Juan José , Pertusa-Ortega Eva M. , López-Gamero María D. , Pereira-Moliner Jorge 
Published: September 2024

Purpose
This study aims to examine the relationships between quality management, human capital and innovation (both incremental and radical), and social sustainability practices in hospitality. Also considered are the mediating roles of human capital and innovation.

Design/methodology/approach
The study considers 365 hotels located in Spain, using a structural equation model based on Partial Least Squares (PLS) analysis.

Findings
The findings show that quality management practices, human capital and incremental innovation all have a direct relationship with social sustainability practices. Human capital and incremental innovation partially mediate the relationship between quality management and social sustainability practices. Radical innovation has no impact on social sustainability practices and does not play a mediating role.

Research limitations/implications
This study enriches the literature on social sustainability in hospitality by showing that quality management, human capital and innovation can enhance social sustainability practices. It offers practical insights by understanding key drivers for promoting social sustainability in the hospitality sector.

Originality/value
Prior research in hospitality has not used a mediation model to empirically examine the aforementioned relationships.
Social and environmental reporting within Australian universities: an accountability perspective
Authors: Salib Hany Samir , Endrawes Medhat 
Published: September 2024

PurposeThis study aims to examine the relationships between social and environmental reporting (SER) and the size and university ranking of 39 Australian universities. The study examines Australian universities and the impact of size on corporate social responsibility (CSR) using an accountability model. Not many studies have considered this relationship in the university environment.Design/methodology/approachThe study uses content analysis by applying the Global Reporting Initiative (GRI) disclosure index to university annual reports and adopting the accountability model of Coyet al.(2001) to examine the impact of the size of Australian universities on SER, measured by the number of student enrolments. Data was collected in 2014. This classification of Australian universities based on size was adopted from Universities Australia (2022). The authors collected data about the academic ranking of Australian universities using the Shanghai ranking (Shanghai, 2022).FindingsThe authors predict and find that there is no relationship between SER and size. As the authors expected, the level of SER is marginally influenced by the world academic ranking of universities. The findings provide significant insight into the SER practices of Australian universities. The authors expand the SER literature and practice nationally and internationally.Originality/valueFew studies have explored CSR in Australian universities. The current study expands the debate on SER using an accountability model in Australian universities. This paper describes CSR in 39 Australian universities and the importance of size and university ranking. The results offer new insights into the relationship between CSR in Australian universities and their size and ranking.
A machine learning and linear programming aided approach to wine ranking and selection
Authors: Tranzola Santos Leandro José , de Araújo Costa Igor Pinheiro , Moreira Miguel Ângelo Lellis , dos Santos Marcos 
Published: September 2024

Purpose
This paper aims to mitigate the subjective nature of wine rating by introducing statistical and optimization tools for analysis, providing a unique approach not found in existing literature.

Design/methodology/approach
The research uses an unsupervised machine learning algorithm, k-means, to cluster wines based on their chemical characteristics, followed by the application of the PROMETHEE II multicriteria decision-making model to rank the wines based on their sensorial characteristics and selling price. Lastly, a linear programming model is used to optimize the selection of wines under different scenarios and constraints.

Findings
The study presents a method to rank wines based on both chemical and sensorial characteristics, providing a more comprehensive assessment than traditional subjective ratings. Clustering wines based on their characteristics and ranking them according to sensorial characteristics provides the user/consumer with meaningful information to be used in an optimization model for wine selection.

Practical implications
The proposed framework has practical implications for wine enthusiasts, makers, tasters and retailers, offering a systematic approach to ranking and selecting/recommending wines based on both objective and subjective criteria. This approach can influence pricing, consumption and marketing strategies within the wine industry, leading to more informed and precise decision-making.

Originality/value
The research introduces a novel framework that combines machine learning, decision-making models and linear programming for wine ranking and selection, addressing the limitations of subjective ratings and providing a more objective approach.
Managers' perceptions of meaningfulness in the future work
Authors: Lemmetty Soila , Riivari Elina 
Published: September 2024

PurposeMeaningfulness at work means experience of work as important, satisfying and valuable. It is a key factor in promoting individual growth, strengthening the belief in one's own abilities and supporting a sense of belonging and commitment to the organization. In this paper, we explore managers' perceptions of meaningful work in the future, focusing on managers' talk about meaningful work and its promotion in their organizations.Design/methodology/approachThe data for the study consists of 25 stories of future working life collected from Finnish managers in spring 2022, using the empathy-based method.FindingsFrom managers' stories of future working life, we identified two overarching perception categories of meaningful work: (1) Perceptions of contexts underlining the experience of meaningfulness: evolving technologies, developing expertise and demands and change in working life values and (2) Perceptions of management practices determining meaningful work: leader-centered, distant and technical management practice versus participatory and interactive management practice.Originality/valueThe research produces a new and detailed understanding of the ways in which managers talk about decreasing and increasing meaningfulness at work and management practices related to it. As the research is qualitative in nature and based on a small dataset, its results cannot be generalized. Instead, it strengthens and sharpens the previous understanding of meaningful work and the future of work.
Dark tourism, thana tourism, and ghost tourism: a bibliometric visualization review for the last 23 years (2000–2023)
Authors: Rasool Shahid , Tariq Habib , Amin Muslim , Mubushar Muhammad , Cobanoglu Cihan 
Published: September 2024

PurposeThis study uses bibliometric visualization techniques to comprehensively review the intertwined concepts of dark tourism, thana tourism and ghost tourism from 2000 to 2023. The research seeks to clarify the ambiguity and inconsistencies arising from the interchangeable use of these terms and sets forth a roadmap for future research endeavors.Design/methodology/approachThis study meticulously extracts research keywords from 634 scholarly papers in the Scopus database. It undertakes a thorough bibliometric analysis utilizing the visualization of similarities (VOS) viewer and RStudio to map the interconnectedness of these tourism phenomena.FindingsThe study identifies and explores contemporary theories such as self-categorization theory, stimulus-organism-response theory, embodiment theory, self-determination theory, socio-cognitive theory, risk perception theory, services theory, dark tourism theory, social and cultural theory, push-pull theory, performance theory, and wound culture theory. The research reveals four primary clusters through keyword co-occurrence and bibliographic coupling analyses: dark tourism insights, dynamics of dark tourism, dark tourism review and dark tourism experiences, illustrating their interrelationships and robustness.Practical implicationsDark tourism insights can guide ethical practices, ensuring respectful site management and accurate historical representation. Integrating dark tourism into broader destination strategies can diversify offerings, attract niche markets and contribute to preserving historical memory through reflective experiences.Originality/valueThis study's outcomes significantly contribute to tourism literature by enhancing our understanding of the overlapping terminologies associated with dark, thana and ghost tourism. This improved comprehension sheds light on the importance of the research agenda surrounding the concept of dark, thana and ghost tourism.
The effect of Islamic financial literacy on business performance with emphasis on the role of Islamic financial inclusion: case study in Indonesia
Authors: Masrizal  , Sukmana Raditya , Trianto Budi 
Published: September 2024

Purpose
Recently, financial inclusion promoters have observed that financial literacy is a vital tool for financial inclusion growth, especially among the poor who are considered financially illiterate. The purpose of this paper is to look at the role of Islamic financial literacy (IFL) and inclusion in improving the performance of micro, small and medium enterprises (MSMEs) in Indonesia.

Design/methodology/approach
This study uses questionnaire data collected as many as 197 MSMEs. This study was analyzed using structural equation modeling approach to test the hypothesis.

Findings
The results show that IFL is an important variable to increase Islamic financial inclusion. The results also show that both have a significant influence in developing the MSME sector business.

Research limitations/implications
This research is not without limitations. This study only adopted a sample in one Province in Indonesia with focus on creative economy sector and some others sectors located in the province of Riau, therefore ignoring suburban and urban areas in Indonesia. Therefore, future studies using a cross-sectional research design are feasible. In addition, this study only uses quantitative data, so that qualitative research with key informant interviews can be considered for further research.

Practical implications
The findings of this study enlighten policymakers, managers of financial institutions and advocates of financial literacy and inclusion about the importance of improving the performance of MSMEs. As a policy recommendation, this study suggests that Islamic policy makers and financial institutions should play a proactive role in increasing service outreach and providing the regulatory environment needed for MSMEs given the important role MSMEs play in the Indonesian economy.

Originality/value
This study combines functional components (behaviors and attitudes) and nonfunctional measures (knowledge and skills) of financial literacy and financial inclusion in explaining the performance of MSMEs. Thus, this research is an initial effort to explain financial literacy and inclusion on the performance of MSMEs.
The effects of knowledge hiding on new product creativity in informational faultlines
Authors: Xi Cunhu , Qu Xiaoqian 
Published: September 2024

Purpose
This paper aims to explore how informational faultlines impact new product creativity through specific mechanisms. The study focuses on analyzing how knowledge hiding mediates the relationship between informational faultlines and new product creativity, and how team promotion regulatory focus and team prevention regulatory focus moderate this process.

Design/methodology/approach
This research investigates the proposed hypotheses by examining sample data from 65 team leaders and 370 employees, delving into the relationship between informational faultlines and new product creativity and its underlying mechanisms.

Findings
Knowledge hiding negatively mediates the relationship between informational faultlines and new product creativity; team promotion regulatory focus negatively moderates the relationship between informational faultlines and knowledge hiding; team prevention regulatory focus positively moderates the relationship between informational faultlines and knowledge hiding; team promotion regulatory focus negatively moderates the mediating role of knowledge hiding in the link between informational faultlines and new product creativity. The higher the level of team promotion regulatory focus, the weaker the mediating role of knowledge hiding between informational faultlines and new product creativity, and vice versa; team prevention regulatory focus positively moderates the mediating effect of knowledge hiding in the relationship between informational faultlines and new product creativity. The higher the level of team prevention regulatory focus, the stronger the mediating effect of knowledge hiding on informational faultlines and new product creativity, and vice versa.

Originality/value
This paper constructs a novel moderated mediation model based on the need-threat model. To the best of the authors’ knowledge, this is the first to explore the relationship between informational faultlines and new product creativity from the perspective of knowledge retention, effectively filling the research gap on the role of knowledge hiding between informational faultlines and team innovative output and the moderate role of team motivational-based psychological characteristics, such as team regulatory focus, in the aforementioned mechanisms.
Community detection using Jaya optimization algorithm based on deep learning methods and KNN graph-based clustering
Authors: Aliabadi Mostafa , Ghaffari Hamidreza 
Published: September 2024

Purpose
In this paper, community identification has been considered as the most critical task of social network analysis. The purpose of this paper is to organize the nodes of a given network graph into distinct clusters or known communities. These clusters will therefore form the different communities available within the social network graph.

Design/methodology/approach
To date, numerous methods have been developed to detect communities in social networks through graph clustering techniques. The k-means algorithm stands out as one of the most well-known graph clustering algorithms, celebrated for its straightforward implementation and rapid processing. However, it has a serious drawback because it is insensitive to initial conditions and always settles on local optima rather than finding the global optimum. More recently, clustering algorithms that use a reciprocal KNN (k-nearest neighbors) graph have been used for data clustering. It skillfully overcomes many major shortcomings of k-means algorithms, especially about the selection of the initial centers of clusters. However, it does face its own challenge: sensitivity to the choice of the neighborhood size parameter k, which is crucial for selecting the nearest neighbors during the clustering process. In this design, the Jaya optimization method is used to select the K parameter in the KNN method.

Findings
The experiment on real-world network data results show that the proposed approach significantly improves the accuracy of methods in community detection in social networks. On the other hand, it seems to offer some potential for discovering a more refined hierarchy in social networks and thus becomes a useful tool in the analysis of social networks.

Originality/value
This paper introduces an enhancement to the KNN graph-based clustering method by proposing a local average vector method for selecting the optimal neighborhood size parameter k. Furthermore, it presents an improved Jaya algorithm with KNN graph-based clustering for more effective community detection in social network graphs.
Kingdom of Fintech: crowdfunding shaping the future in the kingdom of Saudi Arabia
Authors: Aysan Ahmet Faruk Faruk , Lemine Aza Sidi , Kayani Umar 
Published: September 2024

Purpose
This study aims to assess that whether Islamic real estate crowdfunding (RECF) can offer a compelling alternative investment that can attract substantial funds from traditional securities and other conventional methods or otherwise.

Design/methodology/approach
The current study draws on secondary data that was published on legitimate website, Twitter and official documents. Document analysis is conducted using the statements of privacy policy, Sharia compliance, terms and conditions disclosers and the established facts. Second, to achieve in-depth knowledge, a qualitative analysis was conducted for the published interviews and presentations with Aseel CEO Majed Abalkhail on YouTube. Thematic analysis is adapted; it is among the most popular types of analyzing qualitative data.

Findings
The findings show that the Aseel platform has been successful in providing simple access to investment opportunities by minimizing the obstacles, reducing entry and exit costs, streamlining the process and widening the investor’s base.

Originality/value
This paper seeks to contribute to the literature on crowdfunding, Islamic crowdfunding and RECF. Its objectives include exploring the concept of crowdfunding, its growth and various types. Furthermore, the paper aims to examine the expansion of the Islamic crowdfunding system, its current market position and a focus on the Saudi Arabian market. Lastly, the paper investigates the first RECF in Saudi Arabia, Aseel Company, which has achieved remarkable success with seven investment funds completed within its first year of establishment.
Arrival‐breeding interval is flexible in a songbird and is not constrained by migration carry‐over effects
Authors: Smith Lakesha H. , Fraser Kevin C. 
Published: September 2024

Abstract

As spring phenology advances with climate change, so too must the timing of life cycle events. Breeding at the right time is critical in many species as it maximizes fitness. For long‐distance migratory birds, flexibility in the duration of the arrival‐breeding interval (pre‐breeding period) may allow populations to adjust their timing of breeding. However, whether first egg‐lay dates are flexible to local environmental conditions after arrival, and if they are constrained by the time needed to replenish energy lost during migration, remains unclear.

We investigated the regional flexibility of the arrival‐breeding interval in an avian migrant, the purple martin, Progne subis, across their breeding range. We evaluated whether the duration of the arrival‐breeding interval was flexible to temperature and precipitation at breeding sites, and if timing was limited by migration rate and stopover duration. We also tested if longer interval durations were associated with higher fledging success.

To address our hypotheses, we used a combination of migration tracking, weather and breeding data collected from four regions across eastern North America (26.1° N to 52.4° N latitude).

We found the arrival‐breeding interval to be shortest in the north and longest in the south. Across all regions, warmer temperatures encountered at breeding grounds were associated with shorter intervals, and faster migration rates led to longer intervals. The length of the interval was not influenced by precipitation or stopover duration. Finally, longer intervals were not associated with higher fledge success.

Currently, the longer arrival‐breeding intervals in this study system, on average 28.3 days, may provide both early and late‐arriving birds with ample time for recovery so birds can lay eggs according to temperature. Any negative effects of faster migration may have been buffered by longer arrival‐breeding intervals, as interval length did not determine fledge success. With ongoing climate change, further research is needed to examine if arrival‐breeding intervals become constrained by migration timing, which may limit opportunities for migrants to match the timing of breeding with key resources.