bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the relationship between visual complexity and SEO rank of library websites affiliated with top universities
Authors: Tavosi Maryam , Naghshineh Nader , Zerehsaz Mohammad , Mahboub Siamak 
Published: January 2025

Purpose
Computational aesthetics involves the application of computer-based methods to analyse and understand various phenomena. Given the significance of university library websites in the advancement of science and knowledge, it is essential to consider their aesthetic qualities in conjunction with their web visibility, particularly regarding search engine optimisation (SEO). This study aims to investigate the relationship between visual complexity as an important aspect of the aesthetics of a website and its SEO rankings of top university library websites.

Design/methodology/approach
This study employed an analytical survey research design, analysing 35 library websites affiliated with top universities as ranked by Times Higher Education in 2023. Visual complexity was assessed using Python Athec programming, a tool specifically developed for computational aesthetic analysis in social science research. Additionally, the AIOSEO online smart tool was utilised to extract SEO scores. Data analysis was conducted using SPSS and Excel.

Findings
The study found no significant correlation between visual complexity and SEO rankings, with a significance level of 0.125 indicated by linear regression and correlation analyses. This suggests that top university library websites may not require extensive SEO optimisation due to their established credibility and branding. Notably, even those with lower SEO rankings continue to attract international users.

Originality/value
This research is distinguished by its innovative use of Python programming to measure user experience in the context of aesthetics. It offers new insights into the field of computational aesthetics for the managers of libraries.
Task design for highly educated newcomers: improvement and implementation through Lesson Study
Authors: Gök Seyit Ömer , Michel Marije 
Published: January 2025

PurposeThis case study aims to explore the outcomes of two Lesson Study (LS) cycles involving four teachers of English for Academic Purposes (EAP) in the Netherlands, focusing on task-based language pedagogy.Design/methodology/approachUsing LS, teachers engaged in a Plan-Observe-Analyse-Evaluate cycle to address the unique needs of highly educated newcomers. Initially, teachers received input on task-based pedagogy and redesigned materials for specific learner groups. One teacher taught while others observed, and student feedback was collected. Post-lesson, teachers and the More Knowledgeable Other (MKO) discussed improvements, repeating the process the following week. Qualitative analyses of audio recordings, classroom observations, task designs and student feedback identified critical moments in the LS cycle.FindingsFindings indicate that the task-based approach, task design and classroom implementation offered by LS helped to improve teachers’ professionalism: The LS cycle made teachers aware of task difficulty and clarity relative to student proficiency and interests, leading to adaptations for high, average and low-achieving students. It shifted teachers’ focus from “how to teach” to understanding student needs, revealing that low performance may stem from personal traits rather than proficiency. The process also underlined the additional care needed for vulnerable students facing challenges like long commutes from asylum seeker centres.Practical implicationsThis study highlights the transformative potential of the LS model in enhancing task design, teaching practices and teacher development through collaboration, reflection and student-centred approaches. Teachers should adapt tasks collaboratively to accommodate diverse student needs, focusing on accessibility, engagement and emotional well-being, particularly in mixed-ability and vulnerable student groups. Real-time adjustments based on classroom experiences, combined with understanding students’ emotional challenges, can foster better outcomes. Future research could explore the long-term impacts of adaptive teaching on student engagement, confidence and performance as well as the integration of emotional support into teaching strategies for vulnerable learners.Originality/valueThis study contributes to understanding the effectiveness of LS in task development and improvement as well as professional development. It highlights implications for teacher training and task design in EAP contexts.
The influence mechanism of enterprise digitalization on employee taking charge
Authors: Liu Shengmin , Cheng Pengfan 
Published: January 2025

PurposeThe proactive activities, as well as the traditional management mode of enterprises, have undergone profound changes in response to the wave of digital transformation. Consequently, understanding the impact of enterprise digitalization on employee taking charge and its underlying influence mechanisms has become a crucial topic for organizational researchers to explore. Taking a self-determination perspective, this study aims to investigate the mechanism through which enterprise digitalization influences employee taking charge.Design/methodology/approachTo achieve this objective, using multi-level structural equation model and bootstrapping, the study collected multi-source data from 358 samples from 30 technology enterprises.FindingsThese results reveal that enterprise digitalization exerts a significant positive effect on employee taking charge via three parallel mediators of job autonomy, self-efficacy and closeness with companions.Originality/valueOverall, the study expands upon the relationship between enterprise digitalization and employee challenge behaviors while offering valuable insights for implementing enterprise digitalization initiatives and facilitating employees' absorption of digitized practices.
Workforce dissimilarity and job changes
Authors: Ilmakunnas Pekka 
Published: January 2025

PurposeThis study examines the relationships between age, education or gender dissimilarity and movement from one workplace to another, examining different dissimilarity measures and asymmetries in these relationships.Design/methodology/approachLarge-scale employer–employee register data from Finland were used to estimate discrete time duration models for the probability of job-to-job exits from plants. The alternative dissimilarity measures were the Euclidean distances for age and education and the shares of opposite gender, age and education groups.FindingsWhen the Euclidean distance is used as the dissimilarity measure, age dissimilarity is negatively related to workplace exits; however, age dissimilarity is positively related to exits for young women. Educational dissimilarity, meanwhile, is positively related to exits. When the share of opposite groups is used, the results for age and educational dissimilarity depend on how the opposite age and educational groups are defined. The share of women is positively related to the probability of job change among men, but for women, the share of men negatively affects exits.Research limitations/implicationsIdentification relied on the assumption that unobservable individual characteristics can be sufficiently approximated using within-individual averages of the variables.Practical implicationsResearchers should conduct extensive sensitivity analyses and allow for asymmetries in workplace relational demography research.Originality/valueOnly a few previous studies used large-scale datasets to estimate the effects of dissimilarities on turnover, and those studies did not systematically compare different methods of measuring dissimilarities.
Navigating the aftermath: evaluating COVID-19’s lasting effects – multiple case studies from Slovenian public administration
Authors: Vrbek Sanja , Jukić Tina 
Published: January 2025

PurposeThe paper adopts a holistic approach to studying the scale and scope of organisational change resulting from the COVID-19 crisis within the Slovenian public administration. It aims to go beyond the relatively narrow research focus of existing literature, which is confined to short-term responses to the crisis affecting specific organisational aspects of public administration.Design/methodology/approachTheoretically underpinned by Nograšek and Vintar’s (2014) upgrade of Leavitt’s diamond model, the paper employs a multi-case study design to explore the long-term implications of COVID-19-induced changes within the Slovenian public administration.FindingsThe findings reveal an uneven impact of the COVID-19 crisis across Slovenian state administration organisations in terms of the scale and scope of changes, noting that the two key long-term changes – telework and new digital communication channels – have not become equivalent alternatives to traditional work and communication methods. Moreover, the paper identifies changes within the element “people” as the primary disruptors of organisational equilibrium, triggering a ripple effect of changes within other organisational elements.Originality/valueThe paper debunks the myth about the “radical” impact of COVID-19 by concluding that long-term changes have not altered the essence of (Slovenian) public organisations, characterised as traditional public administration. Theoretically, it demonstrates the need for a new adaptation of Leavitt’s diamond model to explain organisational changes in turbulent/crisis times.
Unveiling wine and cannabis consumption motivations: a segmentation study of wine consumers in Germany
Authors: Ghvanidze Sophie , Franco Lucas Bárbara , Brunner Thomas A. , Hanf Jon Henrich 
Published: January 2025

Purpose
Wine consumption is declining, while cannabis use among young adults in Germany has surged. With new laws partially legalising recreational cannabis, advocates claim it could replace alcohol, offering health benefits and cost savings. However, concerns remain that cannabis might increase alcohol consumption and associated health risks. Despite recognition of both substitute and complementary relationships between cannabis and alcohol, data on the cannabis–wine relationship is scarce. This study aims to understand the motivations behind wine and cannabis consumption, segment wine drinkers by those motives, profile wine drinkers who also consume cannabis and determine whether wine and cannabis act as substitutes or complements across distinct consumer groups.

Design/methodology/approach
The authors conducted an online survey using random sampling and used cluster analysis to identify consumer segments based on motivations for wine consumption. Exploring various variables, including consumption motives, behavioural patterns and socio-demographics, the authors also examined cannabis consumption among wine drinkers.

Findings
This study surveyed 523 German wine drinkers aged 20–60 years, including 215 cannabis users. Four consumer segments emerged: “adaptive conformists”, “expansive strategists”, “self-conscious hedonists” and “ambivalent drinkers.” Three segments preferred wine for social and enhancing effects. “Adaptive conformists”, the group with the most cannabis users, sought negative reinforcement like conformity or coping. The “adaptive conformists” and “expansive strategists” show the tendencies of a complementary cannabis–wine relationship.

Originality/value
This study pioneers the use of the Marijuana Motives Measure scales, developed by Simons et al. (1998), within the motivational framework by Cox and Klinger (1988) and Cooper et al. (2015), for wine drinkers. To the best of the authors’ knowledge, this is also the first to categorise wine drinkers into segments based on MMM scales for both wine and cannabis and segment wine consumers using cannabis.
Effect of manganese-based composite phosphating coatings on the tribological performance of cylindrical thrust roller bearings
Authors: Xu Xiao , Zhang Yimin , Long Risheng 
Published: January 2025

Purpose
This paper aims to analyze the frictional performance of the phosphated CTRBs under dry sliding conditions. Through friction and wear experiments and characterization analysis, this paper investigated the wear mechanism and anti-wear mechanism of the composite phosphating coatings.

Design/methodology/approach
This paper used a method of incorporating graphite particles and polytetrafluoroethylene (PTFE) particles into manganese-based phosphating solution to prepare composite phosphating coatings applied on cylindrical thrust roller bearings (CTRBs).

Findings
The results are as follows: the inclusion of functionalized graphite particles affects the characterization of the composite phosphating coatings, whereas PTFE particles serve a physical filling role and have no influence on the surface features of the composite phosphating coatings. The surface roughness of the composite phosphating coatings is the main factor affecting the frictional behavior of phosphated CRTBs. Roughness affects the amount of PTFE particles adsorbed on the surface of the phosphate crystals. PTFE particles can form a solid lubricating film at the friction interface, and under the same surface roughness conditions, phosphated CTRBs with added PTFE particles can improve its friction performance.

Originality/value
The characterization parameters of the composite phosphating coatings were controlled by adding functionalized graphite particles to the phosphating solution. The effects of adding only graphite particles and adding both graphite particles and PTFE particles on the surface characteristics of the phosphating coatings were discussed separately. The tribological performance of phosphating CTRBs was analyzed through friction and wear testing, and the influence of surface characteristics on wear mechanisms and anti-wear mechanisms was discussed.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0405/
Understanding the mediator and moderator role of digital citizenship on cyber harassment
Authors: Macharia Mary , Dunaway Mary 
Published: January 2025

PurposeDrawing on two competing theories, the online disinhibition effect and communication privacy management, this study explores the antecedents of cyber harassment and the mediating and moderating role of digital citizenship on cyber harassment among adults.Design/methodology/approachTo ensure the quality of the data collected, participant recruitment was conducted using two panels: Qualtrics and Cloud Research. The sample comprised 262 participants who were USA residents aged between 18 and 87 years who use the Internet regularly. Additionally, the survey required a balance of participants across racial and educational levels. The survey was drawn from items for which reliability and validity indexes have been tested and confirmed in prior disparate studies.FindingsResults show that digital citizenship is a significant moderator in the relationships between disposition to value web privacy, perceived online disinhibition and cyber harassment. Digital citizenship behavior mediates the relationship between perceived online disinhibition and cyber harassment but does not mediate the relationship between disposition to value privacy and cyber harassment.Originality/valueThe results of this study broaden the understanding of digital citizenship as a behavior modification for cyber harassment, specifically among adult Internet users. Further, we seek to bring together two streams of research that have previously been studied separately: the literature on the antecedents of perceived online disinhibition and disposition to value web privacy concerns.
Navigating the privacy paradox in a digital age: balancing innovation, data collection and ethical responsibility
Authors: Jones Martin 
Published: January 2025

Purpose
The purpose of this paper is to explore the intersection of generative artificial intelligence (AI), data collection and consumer privacy, highlighting ethical tensions in AI-driven advertising. This study examines key challenges, including data mining in smart devices and the implications of high-profile cases like Amazon’s proposed acquisition of iRobot.

Design/methodology/approach
This paper uses a conceptual exploration of case studies, regulatory developments and the current legislative responses in the USA and the European Union. This study further proposes ethical self-regulation, drawing parallels to historical precedents like the Defense Industry Initiative, while emphasizing transparency, privacy-by-default and consumer-centric AI design.

Findings
The findings of this study reveal significant gaps in existing regulatory frameworks, particularly in the USA, and underscore the need for proactive industry leadership in self-regulation. This paper identifies practical solutions, such as opt-in data collection models and the incorporation of moral reasoning into AI training, to enhance consumer trust and privacy protections.

Practical implications
Businesses can leverage this paper’s proposal to navigate the privacy paradox, enhance consumer trust and mitigate privacy risks, thus fostering ethical innovation.

Social implications
Addressing privacy concerns proactively can alleviate societal apprehensions about AI technologies, contributing to broader acceptance, consumer trust and ethical integration of AI-enabled data collection in daily life.

Originality/value
This study bridges the gap between theoretical discussions on AI ethics and practical, implementable solutions. By advocating for self-regulation alongside robust legislative measures, this study provides a novel pathway to balance technological innovation with ethical responsibility in data-driven advertising.
Recommender system ethics from Turkish academics’ perspective: a Q-methodology inquiry
Authors: Sancar Iskender Volkan 
Published: January 2025

Purpose
This study aims to uncover the trends in Turkish experts’ views on the ethical concerns surrounding recommendation systems that use machine learning.

Design/methodology/approach
This study used a Q-methodology approach. To apply Q-methodology, a document review was first conducted as a meta study of meta studies. Then, to create a Q-set, semi-structured interviews were conducted with ten experts. Finally, the Q-methodology was conducted with 42 academics.

Findings
Turkish academics have diverse perspectives on the ethics of recommender systems. All groups agree on the importance of safeguarding user data and ensuring its ethical use, including concerns about data confidentiality and security and preventing data from being sold, stolen or monopolized by companies. Individualistic thinkers believe that recommendation systems have a minimal impact on social issues, such as polarization and inequality, and argue that users benefit from these services. Social thinkers emphasize the need to understand how these systems work and hold individuals accountable for their actions. Anxious thinkers are concerned about the potential for human rights violations and unfair competition through biased algorithms and agree that companies should not be the sole focus of regulations.

Originality/value
To the best of the author’s knowledge, no study has investigated Turkish academics’ thoughts on AI ethics. It is also rare for research to be conducted methodologically using the Q-methodology. Although the findings are based on a recommender system, the results can be generalized to all machine learning systems.
Financialization and vertical integration enhance renter-perceived property owner effectiveness
Authors: Wilson Grant Alexander , Jogia Jason , Pitariu Adrian 
Published: January 2025

PurposeThis work examines the impact of financialization and vertical integration on renter-perceived property owner effectiveness.Design/methodology/approachBased on a sample of 1,186 renters in the US, the UK and Canada, the research addresses gaps in the literature regarding the implications of financialization and vertical integration on renters.FindingsIn contrast to previous work that shows the negative implications of financialization, the results indicate that financialization is positively correlated with renter-perceived property owner effectiveness, challenging the prevailing narrative that it strictly benefits shareholders and the financial elite. Vertical integration’s effect on renter-perceived property owner effectiveness was also shown to be positive and significant, enhancing the existing vertical integration literature that has not focused on real estate. A post-hoc interaction analysis revealed the benefits of vertical integration on renter sentiment are greater among highly financialized firms.Practical implicationsThe study offers managerial considerations for property owners seeking to enhance renter sentiment and satisfaction as well as contributes to real estate strategy and management literature.Originality/valueThese results are novel, as previous research has not empirically shown financialization to elicit benefits for broader stakeholder groups.
Unraveling the relationship between ESG strategy and sustainable performance in the Spanish wine industry: a structural equation analysis
Authors: Martínez-Falcó Javier , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Millán-Tudela Luis A. 
Published: January 2025

Purpose
This study aims to assess the relationship between environmental, social and governance (ESG) strategy and sustainable performance, in addition to exploring the mediating role of green innovation in this connection. Moreover, age, size and membership in a Protected Designation of Origin are incorporated as control variables to increase the precision of the relationships examined.

Design/methodology/approach
A conceptual model was created to meet the intended research objectives and then validated using partial least squares structural equation modeling with primary data obtained from a survey administered to 196 Spanish wineries, which took place between September 2022 and January 2023.

Findings
The study findings indicate that the implementation of an ESG strategy has a positive and significant relationship with the sustainable performance of wineries. In addition, green product and process innovation appear to partially mediate this relationship.

Research limitations/implications
The sample size (196 wineries) limits the generalizability of the findings to the population under study, which suggests caution in their interpretation. In addition, the cross-sectional design of the study prevents from observing dynamic changes over time.

Originality/value
This research significantly advances the understanding of ESG strategy through a holistic view of its relationship with the sustainable performance of the wine industry. Indeed, it fills a critical gap in the academic literature, as ESG strategy has been scarcely explored in the wine industry setting, despite the specific environmental and social challenges faced by this sector. Furthermore, it pioneers the investigation of green innovation as a mediating factor in the relationship between ESG strategy and sustainable winery performance, providing new findings that can shape strategic management practices in the wine sector.