bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predefined-time control for spacecraft rendezvous maneuver with quantized input
Authors: Deng Chengchen , Zhao Haihan , Huang Han , Shi Zhen , Li Jiamin , Liu Sheng 
Published: January 2025

Purpose
The purpose of this paper is to solve the problem of adaptive predefined-time control for spacecraft rendezvous maneuver with input quantization and unknown parameters.

Design/methodology/approach
A significant error-shifting function is established to ensure that the limitation of the initial condition can be ignored. Then, a combination of neural networks method and minimum-learning-parameter method is used to mitigate the adverse effects caused by nonlinear system dynamics. An input quantization method is applied to improved efficiency of data communication between controller and actuator in rendezvous maneuver control system.

Findings
The simulation results verify the correctness and effectiveness of the designed control strategy which can effectively overcome the disadvantages caused by coupling nonlinear system dynamics.

Originality/value
This paper designs an adaptive predefined-time control method for spacecraft rendezvous maneuver control with input quantization based on backstepping control method.
Policy uncertainty and earnings quality in banks: the role of institutional quality in emerging markets
Authors: Biswas Sarit , Saikia Anuradha , Bhattacharya Mousumi 
Published: January 2025

Purpose
This paper aims to explore the relationship between economic policy uncertainty (EPU) and earnings quality in banks in the context of Brazil, Russia, India and China (BRIC) as an emerging economic bloc. The study further explores the role of institutional quality in moderating the impact of EPU on bank earnings quality.

Design/methodology/approach
The study has used earnings management (EM) as a proxy for earnings quality, measured using discretionary loan loss provisions. The higher the EM, the lower the quality of earnings. The study has collected data from 74 banks spanning the years 2014 to 2020 and used fixed effects (FE) and generalized methods of moments (GMM) estimators to test the hypotheses.

Findings
The study has found a positive impact of EPU on EM, suggesting that banks in the BRIC region react to EPU by increasing earnings opacity. However, the study found that better institutional quality can reduce the EM in the presence of EPU.

Originality/value
The study has made an early attempt to establish the relationship between bank EM and EPU in a cross-country setting. In addition, the study shows that the level of institutional quality in emerging markets moderates the impact of EPU on bank EM, which remains unexplored in prior research.
Retention of newcomers and factors influencing turnover intentions and behaviour: a review of the literature
Authors: van der Baan Niels Andreas , Meinke Giulia , Virolainen Maarit Hannele , Beausaert Simon , Gast Inken 
Published: January 2025

PurposeRecent graduates are an important source of talent among hired employees as they bring up-to-date knowledge into the organisation. Yet, organisations have difficulties retaining them and recognizing factors influencing their voluntary turnover, which may differ from those influencing voluntary turnover among tenured employees. For example, graduate employees need to adjust to a completely new context and develop their identity as professionals. Therefore, the current study presents a review of the factors influencing newcomers’ voluntary turnover and turnover intentions.Design/methodology/approachTo explore the factors influencing the turnover intentions and behaviour of recently hired employees, we conducted a literature review of 57 articles from several databases for different disciplines.FindingsOur review identifies factors that influence turnover intentions and behaviour among recently hired employees and presents them in a model. The model identifies five categories of factors influencing turnover intentions and behaviour: pre-joining expectations, person-environment fit, the role of the supervisor, human resource (HR) practices and person-related factors.Practical implicationsThe model enhances the understanding of why new employees leave an organisation and shows how supervisors and HR practices play an important role in reducing voluntary turnover among newly hired employees. The article concludes with practical suggestions on how to retain these employees.Originality/valueWhile employee turnover has been studied extensively, this review focuses specifically on factors that influence the turnover intentions and behaviour of newcomers. We present these factors in a model that can be used to inform managerial practices to reduce turnover among newcomers.
Mapping the field of workplace deviant behavior: a comprehensive bibliometric analysis
Authors: Bagdi Deepa , Nimbrain Nitu 
Published: January 2025

Purpose
This study aims to conduct a rigorous bibliometric analysis of workplace deviant behavior (WDB) to identify prevailing trends, patterns, and themes in the field. The analysis seeks to outline the domain’s intellectual and social structure and provide a research roadmap.

Design/methodology/approach
The study employed a systematic procedure to scrutinize research scenario. A search in the Scopus database produced 1,677 papers from reputable publications spanning 42 years (1976–2023). Science mapping techniques, including co-citation, co-authorship, and co-occurrence analysis, were used to obtain insights into the research landscape. By implementing these techniques, the authors comprehensively understood the interconnectedness and patterns within the research field.

Findings
This study demonstrates an apparent surge in the overall number and impact of studies conducted on WDB, most of which are published in prestigious publications. Furthermore, the findings support Bradford’s law, defying Lotka’s law in this field. Through co-citation analysis, four clusters were identified in this area. Subsequently, co-occurrence was used to pinpoint several strong themes. Finally, the authors of the USA and China demonstrated the most significant collaboration.

Originality/value
This study is a pioneering approach to applying bibliometric analysis to explore WDB research; it addresses a gap in the comprehensive review of earlier research and contributes to enriching the body of knowledge in this area. The results of this research are helpful for practitioners, scholars and future researchers in this subject, even if it has its roots in scientometrics.
Boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems: efficient numerical resolution and analysis
Authors: Jaiswal Aishwarya , Kumar Sunil , Ramos Higinio 
Published: January 2025

Purpose
This paper aims to study boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems and to present their efficient numerical resolution and analysis.

Design/methodology/approach
This study includes cases in which the diffusion parameters are small, distinct and can differ in order of magnitude. The source term is considered to be discontinuous. The asymptotic behavior of the solution is examined. The layer structure is analyzed, leading to the development of a variant of layer-resolving Shishkin mesh. For efficient numerical resolution, two methods are developed by combining additive schemes on a uniform mesh to discretize in time and an upwind difference scheme away from the line of discontinuity and a specific upwind difference scheme along the line of discontinuity, defined on a variant of layer resolving Shishkin mesh, to discretize in space. The analysis of the numerical resolution is discussed using the barrier function approach. Numerical simulations provide a verification of the theory and efficiency of the approach.

Findings
The discontinuity in the source term, along with the inclusion of small and distinct diffusion parameters, results in multiple overlapping and interacting boundary and interior layers. The work demonstrates that the present approach is robust in resolving boundary and interior layers. From a computational cost perspective, the numerical resolution presented in the paper is more efficient than conventional approaches.

Originality/value
Efficient numerical resolution and analysis of boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems are provided. The discretization of the coupled system in the approach incorporates a distinctive feature, wherein the components of the approximate solution are decoupled at each time level, resulting in tridiagonal linear systems to be solved, in contrast to large banded linear systems with conventional approaches.
An investigation into EFL mentors’ preferred mentoring approaches through feedback practices
Authors: Mutlu Gülbak Gizem , Kırmızı Özkan 
Published: January 2025

PurposeThis case study provides an account of eight mentor teachers’ mentoring approaches based on their reported feedback practices.Design/methodology/approachIn an interpretative phenomenological design, the data were obtained through in-depth individual interviews with mentor teachers in different practicum schools in Istanbul, Türkiye. The study draws upon the mentoring approaches in the literature (Orland-Barak and Wang, 2020), and the mentor teachers’ reports on their feedback behaviors were analyzed accordingly.FindingsDuring the interviews, the mentors’ emphasis on issues such as the use of positive language, encouraging reflection and the evaluative nature of feedback indicated that their feedback behaviors were mainly influenced by personal growth and situated learning mentoring approaches.Practical implicationsThe results suggest that mentors’ awareness on mentoring approaches and how to give feedback should be enhanced. It also suggests that teacher education programs should pay more attention to providing accurate information about mentoring approaches. A more accurately structured evaluation process should be ensured, and mentors should be instructed on how to give constructive feedback through training.Originality/valueThis study contributes to the existing literature by offering a nuanced exploration of mentoring approaches in relation to teachers’ feedback practices.
Does logistics performance foster sustainable development? A moderated mediation effect
Authors: Barakat Mahmoud , Gerged Ali Meftah 
Published: January 2025

PurposeThis research investigates the moderating role of tariffs on the indirect relationship between the logistics performance index (LPI) and workers’ overall wages, specifically male and female wages through trade openness (TO). These wage metrics are proxies for assessing progress towards Sustainable Development Goal SDG-8.5.Design/methodology/approachUtilising a global dataset encompassing 168 economies from 2007 to 2018, the analysis employs a mediation effect analysis methodology to scrutinise the interconnectedness among LPI, TO, SDG and tariffs.FindingsThe findings reveal that LPI indirectly influences SDG-8.5 commitments of countries through their degree of TO. Moreover, the moderated mediation analysis elucidates that tariffs play a moderating role in the relationship between LPI and TO. However, the investigation finds no significant link between LPI and the wages of female workers, indicating a sub-component of SDG-8.5.Research limitations/implicationsThis study significantly contributes to the existing literature on international development by elucidating the mechanisms and conditional factors through which logistics services can address the gender pay gap, as male workers’ wages predominantly drive the nexus, thereby advancing the fulfilment of the United Nations 2030 Agenda for Sustainable Development Goals.Originality/valueThis study utilises transaction cost theory and resource-based view theory and combines them with Okun’s Law and the Law of the wage curve to test the role of LPI as a source of competitive advantage in enhancing SDG-8.5 while taking into consideration TO and tariffs. This will help in extending both theories and enhance the understanding of their applicability worldwide.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2024-0392
Typology of trust in micro-health and fitness influencers
Authors: Schultz Carsten D. 
Published: January 2025

Purpose
Health and fitness influencers who directly affect one’s well-being through their messages create situations of vulnerability that require trust. To understand the various dimensions of trust, this study integrated a typology of trust into source credibility theory. The purpose of the study is to explore the typology’s four trust dimensions concomitant with the perceived attractiveness and expertise of such influencers to identify consumers’ attitudes toward micro-health and fitness influencers.

Design/methodology/approach
This study used a manipulated-stimuli online survey and gathered 414 micro-influencer evaluations. Variance-based structural equation modeling was used to analyze the data.

Findings
The results supported the four of trust building. However, a less complex trust formation process was revealed, thereby contrasting the original trust theory formulation. Specifically, the effect of disposition to trust on institution-based trust was higher for regular than for heavy social media users. Also, compared to regular social media users, trusting intentions had a greater impact on heavy social media users’ attitudes toward micro-influencers. In addition, the effect of institution-based trust on trusting beliefs was higher for older than for younger participants. Furthermore, placement of congruent compared to noncongruent products created differences in perceived attitudes toward micro-influencers. In particular, disposition to trust had a larger effect on institution-based trust for noncongruent than for congruent product placements.

Originality/value
This study extended source credibility theory by including alternative trust dimensions – notably, non-situation-specific disposition to trust and institution-based trust, as well as situation-specific trusting beliefs and trusting intentions – into source credibility.
A framework for aligning e-government initiatives with the sustainable development goals
Authors: Ishengoma Fredrick , Shao Deo 
Published: January 2025

PurposeThis paper proposes a framework that aligns e-government initiatives with the Sustainable Development Goals (SDGs).Design/methodology/approachThe study integrates a systematic literature review with case study analysis. The literature review involved an extensive search across multiple scholarly databases to identify relevant studies. Case studies were sourced used a number of criteria with a scoring rubric for selection and evaluation. The analysis of extracted themes and patterns from both the literature and case studies informed the development of the proposed e-government framework and illustrated the causal relationships among its components.FindingsThe framework serves as a roadmap for achieving sustainable development through e-government initiatives. It emphasizes critical themes, including inclusiveness, transparency, accountability, sustainability, partnerships and collaboration and innovation and digital transformation.Research limitations/implicationsAlthough efforts were made to include diverse case studies, some regions may be underrepresented, which could affect the generalizability of the framework across all global contexts.Originality/valueThis study provides a holistic approach, considering technological, social, economic and environmental factors, highlighting the importance of partnerships and collaborations in achieving sustainable development.
It takes a village: entrepreneurial bricolage in rural cooperative enterprise development
Authors: Batra Safal 
Published: January 2025

PurposeCooperative enterprises are uniquely different from all other for-profit and not-for-profit enterprises in that the onus of success does not lie on any one team leader, promoter or founder but on all members of the team equally and collectively. This paper attempted to investigate the key enablers of success in the unique context of cooperative enterprises.Design/methodology/approachUsing a combination of focus groups, in-depth interviews, observations and archival data, resulting in interactions with 744 members across 13 rural cooperative enterprises, we uncovered the enablers of team performance in a cooperative setting. The theory of entrepreneurial bricolage emerged as the most appropriate theoretical lens to interpret the findings.FindingsWe found empirical evidence to conclude that the emergence of an entrepreneurial bricolage mindset in rural cooperative enterprises acted as an enabler of collective success. On the other hand, the failed rural cooperatives exhibited the absence of the bricolage mindset.Research limitations/implicationsDespite the extent of data collected from a large number of individuals in each team, the number of teams studied is small. Further, most of the data comes from cooperative teams based in similar settings and with similar challenges. Extrapolating these findings in other organizational settings should be done only after replication.Practical implicationsA clear focus and commitment toward the collective accumulation and utilization of resources is imperative for the success of cooperative enterprise teams. Only those teams that actively confront resource scarcity and work toward addressing it are the ones that eventually perform well in cooperative structures.Originality/valueLarge-sized rural cooperative enterprises offer a unique setting to understand rural development. However, due to the challenges of first getting access to a cooperative enterprise context, then collecting data from a significant representation of the large team, and finally the inability to record the conversations due to issues pertaining to team psychological safety, limited attempts have been undertaken to understand team dynamics in such rural settings. The present study is among the first few to study large-sized cooperative teams and explore the enablers of their performance.
The impact of artificial intelligence on data privacy: a risk management perspective
Authors: Mooradian Norman , Franks Patricia C. , Srivastav Amitabh 
Published: January 2025

Purpose
The purpose of this paper is to increase the artificial intelligence (AI) ethical literacy of information governance professionals by explaining how AI intensifies familiar data privacy issues by virtue of its dependency on data and ability to create new personal information, to explicate emerging privacy enhancing methods and to show their continuity with existing privacy and information governance principles.

Design/methodology/approach
The paper uses an interdisciplinary design research methodology that extends current governance frameworks by combining information science, information governance and applied ethics concepts. Three information sources were referenced: 1) academic papers; 2) standards and best practices published by governmental and nongovernmental organizations and professional associations; and 3) white papers, market research and vendor reports. The literature review was informed by real-world implementation knowledge and anecdotal evidence to identify privacy risks when using AI. Useful tools, techniques and governance approaches to manage and mitigate the risks associated with digital privacy and ethics when using AI are identified and discussed.

Findings
The paper analyzes the relationship between different approaches to AI (e.g. symbolic-deductive, machine learning and deep learning) and levels of privacy risks. It identifies risk reduction methods (e.g. differential privacy) and relates these to extant privacy principles such as data minimization. Finally, the paper shows the continuity between information governance practices and newly emerging AI governance and risk frameworks.

Originality/value
The authors present useful tools and techniques and discuss them from a business perspective, using the lens of information governance to mitigate AI-related privacy risks. The authors also discuss how design techniques and technologies can help minimize data collection of sensitive information and can be used to anonymize sensitive data when training AI models.
Assessing foodborne pathogen survival in bird faeces to co‐manage farms for bird conservation, production, and food safety
Authors: Spence Austin R. , McGarvey Jeffery A. , Lee SangIn , Smith Olivia M. , Olimpi Elissa M. , Yang Wentao , Zhang Meirun , Karp Daniel S. 
Published: January 2025

Abstract

Because birds can carry foodborne pathogens, widespread concern exists that birds impose food‐safety risks to farms. Growers are thus often encouraged to deter birds and forego harvesting crops near bird faeces (e.g., no‐harvest buffers). Developing a holistic understanding of the pathogen spillover process—from individual infection to pathogen persistence on crops—is essential to understand and manage food‐safety risks associated with birds.

Here, we coupled field and greenhouse experiments to understand the relative risks associated with different bird species on California farms. We first compared E. coli survival in bird faeces on lettuce, soil, and plastic mulch to identify where pathogens are likely to persist. Next, we quantified pathogen survival in faeces from 10 bird species to identify higher‐risk species. Finally, we combined pathogen survival data with bird surveys and faecal transects to assess food‐safety risks across 29 California lettuce farms.

E. coli abundance rapidly declined in bird faeces, but rates varied across substrates. E. coli survival was higher on lettuce compared to soil and plastic mulch, likely because of lettuce's cooler and wetter microclimate. E. coli persistence was also much higher in faeces from larger birds—which produce larger faeces—than small songbirds. Importantly, minimal differences in persistence among species were observed after all faeces were standardized to the same mass.

Though bird faeces were common on farms, most birds entering farms, contacting crops, and defecating on crops were small songbirds that defecate small faeces. Coupled with our finding that ~90% of faeces were deposited on soil, these results suggest that most birds on farms present relatively low food‐safety risks.

Synthesis and applications. Growers are often encouraged to deter all bird species and forego harvesting crops near all bird faeces, but our work suggests not all birds and faeces pose the same food‐safety risks. If growers ignored small bird faeces on soil, then we estimate that the area of California lettuce farms affected by no‐harvest buffers could decrease from ~10.3% to ~2.7%. More broadly, our results suggest farmers could promote small, insect‐eating birds by erecting nest boxes or preserving habitat without necessarily compromising food safety.