bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blessing or curse? A multilevel investigation of the benefits and costs of temporal leadership on employee proactive behavior
Authors: Mei Wenjuan , Zhu Yu , Nong Meilan , Wang Yangfei 
Published: January 2025

PurposePrior research has demonstrated that temporal leadership brings benefits, whereas scholars know little about its potential drawbacks. This study aims to explore the positive and negative effects of temporal leadership.Design/methodology/approachA three-wave, multi-source survey was conducted to examine the theoretical model and test hypotheses. Multi-level analysis was performed using Mplus 7.4 and the R package for Monte Carlo simulations.FindingsThis study reveals that temporal leadership both decreases employee proactive behavior through emotional exhaustion and increases it through job absorption. Shared temporal cognitions buffer the effect of temporal leadership on emotional exhaustion and its indirect effect on proactive behavior through emotional exhaustion. Conversely, shared temporal cognitions strengthen the effect of temporal leadership on job absorption and its indirect effect on proactive behavior through job absorption.Practical implicationsOur findings show that temporal leadership has costs and benefits. Thus, it is essential to manage temporal leadership behavior.Originality/valueOur research provides new insight into understanding the costs and benefits of temporal leadership.
Strengthening capital-intensive companies in technology competition through innovation platforms
Authors: Jaspers Daniel , Proff Heike 
Published: January 2025

PurposeThis paper investigates how capital-intensive companies, especially in the automotive sector, navigate the challenge of balancing significant technological investments against market demands for asset-light strategies. It examines the use of innovation platforms as a strategic solution for mediating these goal conflicts and sustaining competitiveness in a technology-driven market.Design/methodology/approachThe study analysed 286 automotive companies from Europe, North America and Asia through a quantitative survey conducted in 2022, focusing on companies using innovation platforms. It applied partial least squares structural equation modelling (PLS-SEM) to assess the relationships between the use of innovation platforms, relational rents and performance.FindingsThe research found that companies using innovation platforms can achieve early-stage relational rents through partnerships and resource sharing, although these benefits have not yet translated into profitability. Companies in the sample are still developing their partner network, and while they experience collaborative advantages, they face initial challenges in converting these into financial gains. The study highlights the critical role of scaling in the network, complementarities in production, limiting the outflow of resources and capabilities besides modularisation in achieving long-term profitability.Originality/valueThis study contributes to the literature by providing empirical evidence on how capital-intensive companies use innovation platforms to balance technological investments and asset-light pressures, a topic with limited previous research. It underscores the long-term potential of such digital platforms in innovation ecosystems in generating value and the need for patient investment in promising platform effects. The findings support the strategic value of innovation platforms as capital-intensive industries face intensified competition from high-technology companies.
Bodily feelings as information: the embodied cognition perspective on robotic services
Authors: Xiong Xiling , Wong Ipkin Anthony , Yang Fiona X. 
Published: January 2025

Purpose
The study aims to investigate the effects of bodily feelings on preference for robotic service by examining direct and indirect sensations from physical and metaphorically projected bodily feelings.

Design/methodology/approach
Through four empirical experiments involving video and recall tasks to metaphorically manipulate participants’ bodily warmth and directly manipulate ambient temperature, the authors explored the mediating role of the need for warmth and the moderating role of robotic features (warmth vs competence) on consumer willingness to engage with and pay for robotic services.

Findings
Warmth perception exhibits a positive correlation with robotic services. This relationship is mediated by the need for warmth. Moreover, when customers experience a sensation of physical warmth, they show a greater willingness to pay for a robotic service exhibiting competence versus warmth.

Research limitations/implications
This research contributes to the literature by integrating the feelings-as-information theory and the mind perception view to understand the judgment of robotic services. It extends the application of the embodied cognition theory, highlighting the significance of bodily feelings as a source of information in customer decision-making processes. Furthermore, this research explores the metaphoric influence of service features on bodily responses, providing new insights into the role of embodiment and mental perception in robotic service evaluations.

Practical implications
Managers should consider using different robots based on seasonal settings to meet customers’ need for warmth. Understanding customers’ bodily feelings and the metaphoric influence of service features contributes to the design of more effective and customer-centric robotic services.

Originality/value
This inquiry explores the metaphoric influence of service features on bodily responses, providing new insights into the role of embodiment and mental perception in robotic service evaluations.
Have trade fairs recovered in the post-COVID era? A comparative analysis of bleisure trends in Thessaloniki's trade fairs
Authors: Kourkouridis Dimitris , Salepaki Asimenia , Angelou Ioannis 
Published: January 2025

PurposeThis study aims to investigate the perceived changes in bleisure travel behavior due to the COVID-19 pandemic, through comparative analysis of pre- (2018) and post-pandemic (2021–2023) data. This study examines the frequency of their participation in trade fairs, their tourist activities during their stay and their destination loyalty.Design/methodology/approachThe method of collecting quantitative material included a structured questionnaire, informed by a corresponding survey conducted before the COVID-19 pandemic (2018). The sample included 214 participants from the Hosted Buyers programs of TIF-HELEXPO trade fairs during 2021–2023. Descriptive statistical analysis of the data was performed, followed by a comparative analysis, using the “N-1” Chi-squared test to examine changes between the two periods.FindingsThe results indicate that business travelers have returned to pre-COVID levels of participation in trade fairs, with an increase in international trade fair attendance. Additionally, tourist activity also increased after the COVID-19 pandemic, while destination loyalty remained high across both periods.Research limitations/implicationsThe study is spatially limited to Thessaloniki and focused on participants of the specific program. Future research should involve other stakeholders in the trade fair ecosystem, such as exhibitors, individual visitors, organizers, local bodies, citizens and local entrepreneurs.Originality/valueThe COVID-19 pandemic has profoundly impacted tourism and business travel, raising questions about the necessity of physical presence at business events. This study is significant as it provides a comparative pre- and post-pandemic analysis of business travelers’ behaviors, offering insights into the resilience of bleisure travel in Thessaloniki.
Teachers’ perception of principals’ OCB in association with teachers’ performance outcomes
Authors: Schwabsky Nitza , Somech Anit 
Published: January 2025

PurposeThis study aimed to examine teachers’ perceptions of their principals’ organisational citizenship behaviours (POCB hereafter), for which a POCB measure was developed, and to examine its association with the teacher performance outcomes: job satisfaction, organisational commitment, intention to leave the job and strain. The study relies on Bandura’s (1977) social learning theory to demonstrate that the principals’ extra-role behaviour is likely to become a modelling role that affects the teacher outcomes.Design/methodology/approachData were collected from two groups of teachers, comprising 365 and 246 participants, in 4 stages. Initially, a self-reported questionnaire that assessed the teachers’ perceptions of the principal’s OCB was developed based on interviews with 15 principals (stage 1; POCB). This was followed by an exploratory factor analysis (stage 2; N = 365) and a confirmatory factor analysis using structural equation modelling (stage 3; N = 246). Pearson correlations and linear regression analyses were calculated between POCB and the teacher outcomes (stage 4; N = 246).FindingsThe POCB measure demonstrated adequate construct validity and emerged as a reliable correlate of teachers’ outcomes. POCB was positively associated with job satisfaction and organisational commitment and negatively associated with intention to leave the job and strain and emerged as a predictor of these teachers’ outcomes, regardless of their characteristics.Originality/valueThe study provides evidence that teachers perceive POCB as an important behaviour for improving teacher outcomes. The results suggest the significance of principals’ extra-role behaviour in enhancing teachers’ job-related attitudes and have implications for educational principalship practices.
Does family motivation make a difference for management educators? An empirical study
Authors: Pahi Munwar Hussain , Umrani Waheed Ali , Siyal Abdul Waheed , Ahmed Umair , Al Riyami Said 
Published: January 2025

PurposeThe present study attempts to extend our understanding of the application of self-determination theory. The study examines the mediating role of self-efficacy and self-esteem in the relationship between family motivation and academic performance.Design/methodology/approachThrough adopting a survey questionnaire, we collected 329 responses from management educators (faculty members teaching in business schools) from various universities.FindingsThe data were analyzed using the partial least square structural equation modeling technique. All the hypothesized relationships found empirical support, indicating that family motivation is directly related to academic performance. Furthermore, self-efficacy and self-esteem mediate this direct relationship.Originality/valueThe paper forwards robust theoretical and practical implications and underlines important directions for future researchers. The study makes novel contributions to relationships inviting for empirical attention.
Nexus among sustainable organizational social networks, knowledge sharing and digital innovation in High-Tech enterprises of an emerging economy
Authors: Ullah Mirzat , Kayani Umar , Aysan Ahmet Faruk , Mariev Oleg , Nawaz Farrukh 
Published: January 2025

Purpose
This study explores the sophisticated processes involved in knowledge dissemination and the regulatory framework of digital construction (DC). Specifically, it assesses the interaction between organizational sustainability, knowledge sharing and corporate social responsibility as essential factors in enhancing digital innovation in high-tech enterprises. The role of corporate governance is examined to engage organizational social structures and sustainability.

Design/methodology/approach
The research empirically evaluates the adaptation processes of organizational social networks (OSNs) and corporate collaboration to drive digital innovation. By integrating perspectives from social exchange theory and social cognition theory, a comprehensive model is developed to understand the influence of corporate social networks and collaborative creativity within enterprises. Hierarchical regression analysis is conducted on a sample of high-tech companies located in the Yangtze River Delta region of China.

Findings
The findings reveal a significant positive relationship between robust OSNs and enhanced collaborative innovation in business environments. Notably, the connection between OSNs and corporate collaborative creativity is partially mediated by the dissemination of information and expertise within the networks. Additionally, the integration of DC tools enhances both OSNs and collaborative innovation. This underscores the need for strategic investments in nurturing corporate social networks and fostering a culture of knowledge sharing among employees.

Originality/value
This study is the first to examine the nexus among OSNs, Knowledge Sharing and Digital Innovation in high-tech enterprises, contributing valuable insights through the lens of social exchange and social cognition theories.
Mentoring as a management practice to retain newly certified professionals in healthcare organisations
Authors: Liff Roy , Rovio-Johansson Airi 
Published: January 2025

PurposeThe purpose of this study is to investigate how mentors can convince young, certified, inexperienced employees to remain in a healthcare organisation, and how mentors address “stay or quit” when mentees’ lived experiences reveal feelings of insufficiency as crisis in their daily work. We explore how turnover is affected by the mentors’ and mentees’ discussions within the manager’s domain.Design/methodology/approachWithin the framework of crisis management, the study employs qualitative content analysis of 21 interview responses from mentors, mentees and managers. The analysis includes mentees’ answers, which are analysed in terms of “weak signals” based on lived experiences and mentors’ and managers’ answers in terms of different capabilities to increase mentees’ wish to remain in the organisation.FindingsThe results show that the deep relationship between the mentee and the mentor is crucial. It is possible for the mentor to detect weak signals from the mentee’s thoughts, doubts and lived experiences. The study extends the understanding of a more subtle mechanism the mentor uses in the close relation to the mentee, alongside the manager. The findings confirm those of previous research concerning improved job satisfaction and self-improvement in the profession.Practical implicationsThe findings explain why mentors, as necessary organisational resources, can contribute more successfully than managers to keeping young employees.Originality/valueThe study links the crucial relational mentorship to increased willingness to remain in an organisation among young mentees without career support.
Exploring currency interdependence in West Africa: a time-varying parameter vector autoregression analysis
Authors: Bram Andrew Kwamina , Ofori Charles , Mangudhla Tinashe , Nuta Alina Cristina 
Published: January 2025

PurposeConsidering the impact of significant economic and political events, this study investigates the return spillovers and connectedness among eight West African currencies from March 31, 2010, to March 28, 2024. It aims to enhance understanding of the interdependencies within the West African foreign exchange market, providing insights into the region’s risk management and diversification opportunities.Design/methodology/approachUsing the time-varying parameter vector autoregression (TVP-VAR) method, this study analyzes daily exchange rate returns to capture the dynamic spillover effects and connectedness among the selected currencies. This approach identifies key transmitters and receivers of return shocks, reflecting the evolving interactions among the currencies over time.FindingsThe results show that the Sierra Leonean Leone, Cape Verdean Escudo, and West African CFA Franc are significant net transmitters of return shocks. At the same time, the Ghana Cedi, Nigerian Naira, Gambian Dalasi, Guinean Franc, and Liberian Dollar are net receivers, with the Gambian Dalasi being the most affected. These findings suggest relatively low regional spillover connectedness, offering favorable diversification opportunities.Originality/valueThis study provides a comprehensive analysis of the interconnectedness of West African currencies, contributing to the limited literature on this region. The findings have practical implications for investors and policymakers in managing foreign exchange risks and designing interventions to stabilize the market.
Impact of the Lebanese multidimensional crisis on audit processes and resources: implications for going concern assessments
Authors: Khalil Sandra 
Published: January 2025

Purpose
This study aims to examine auditors’ perceptions of the changes in audit processes, fees, salaries and trainings during the Lebanese multidimensional crisis. The aim is to understand how going concern assessments were affected by the distortions imposed by the crisis.

Design/methodology/approach
Data was collected through a survey distributed among auditors at Big 4 audit firms in Lebanon during the crisis. The questionnaire, inspired by prior desk study research, aims to empirically assess auditors’ attitudes toward the variances in audit operations during the crisis and their implications on going concern assessments. This study uses the structural equation modeling (SEM) technique to develop and assess the research model.

Findings
The findings reveal notable changes in audit processes, fees, salaries and training programs during the crisis. SEM results highlight the association between the crisis-driven changes in audit procedures, fees and salaries and the increased uncertainty in issuing going concern assessments.

Practical implications
This study provides recommendations for both the auditing industry and regulatory bodies to ensure audit firms are prepared to face crises that might disrupt their work. Recommendations include the initiation of crisis management training programs, investments in technology solutions, the establishment of a protocol in response to crisis and the adoption of flexible yet reliable audit procedure to accommodate for the challenges of the crisis.

Originality/value
The originality of this study emanates from its adoption of a novel survey to assess a conceptual model that has not been empirically tested in earlier studies. The model examines changes in audit operations during the Lebanese crisis and their implications on going concern assessments, a context that has received little attention in the literature.
A call for caution and evidence–based research on the impact of artificial intelligence in education
Authors: Sposato Martin 
Published: January 2025

Purpose
This paper aims to examine the complex balance between enthusiasm and skepticism regarding artificial intelligence (AI) integration in educational practices. It advocates for a cautious, evidence-based approach while addressing both opportunities and challenges, aligning with the United Nations Sustainable Development Goal 4 (SDG4) for Quality Education.

Design/methodology/approach
Through critical analysis of current discourse surrounding AI in education, this paper synthesizes existing literature on both supportive and skeptical perspectives. The methodology involves systematic examination of past educational technology trends, current AI developments and their implications for teaching and learning. The paper develops its research agenda through careful consideration of existing empirical studies, theoretical frameworks and identifying gaps in current understanding.

Findings
The analysis reveals that while AI offers promising potential for enhancing learning outcomes and educational accessibility, its integration presents significant challenges that require careful consideration. The paper identifies critical tensions between technological innovation and pedagogical values, highlighting areas where enthusiasm for AI adoption must be tempered with empirical evidence and critical evaluation. Current evidence suggests that successful AI integration requires balanced consideration of both opportunities and limitations, with particular attention to maintaining human-centered educational practices.

Originality/value
This viewpoint provides a comprehensive framework for understanding the dialectic between AI’s educational potential and its limitations. By synthesizing both supportive and critical perspectives, it offers a nuanced approach to AI integration that acknowledges both opportunities and challenges. The article’s value lies in its systematic identification of key research priorities and its emphasis on evidence-based implementation strategies that serve educational goals while mitigating potential risks.
Green chemistry approach to corrosion control: parthenium hysterophorus extract as an inhibitor for AZ31 alloys
Authors: V. Kavimani , P.M. Gopal , R. Arulmurugan , Kailasam Saravana Mani 
Published: January 2025

Purpose
The purpose of this study is to develop a green corrosion inhibitor (GCI) from the parthenium hysterophorus (PHS) leaf and identifying its efficiency in corrosion inhibition of AZ31 alloy.

Design/methodology/approach
GCI from PHS leaf is extracted with the aid of Soxhlet apparatus and analysed through Fourier transform infrared spectroscopy (FTIR) and phytochemical tests to identify the functional groups and chemical compounds present. Inhibition efficiency (IE) of PHS extract is identified through polarization analysis and immersion tests in which concentration of PHS extract (0–300 ppm) and temperature (303–353 K) is varied.

Findings
Maximum IE of 84% is exhibited by the prepared PHS extract at a concentration of 250 ppm at 303 K and further addition diminishes IE. The developed GCI is found effective in room temperature (303 K) as it exhibits lower IE when temperature increased. Both physical and chemical absorption mechanisms were identified for PHS extract over AZ31 surface, whereas FTIR and SEM analysis confirms the development of passivation layer.

Originality/value
Development of GCI from the leaf of a weed (PHS) that disturbs the ecosystem and identifying its efficiency in preventing corrosion of AZ31 under saline environment.
The potential of arbuscular mycorrhizal fungi to improve soil organic carbon in agricultural ecosystems: A meta‐analytical approach
Authors: Conti Georgina , Urcelay Carlos , Gundel Pedro E. , Piñeiro Gervasio 
Published: January 2025

Abstract

Increasing soil organic carbon (SOC) in agroecosystems is a key objective for enhancing agricultural sustainability and mitigating climate change. Arbuscular mycorrhizal fungi (AMF) can increase yield and provide several other ecosystem services. Still, studies conducted in agricultural soils have shown that their effects on SOC can be either positive, neutral or negative. In this study, we conducted a quantitative review of the literature to evaluate the role of AMF in influencing SOC across various crop species and conditions.

Through a systematic search of publications, we compiled a dataset comprising 62 trials from 19 studies including field and pot experiments that directly manipulated the mycorrhizal status of plants. We conducted a meta‐analysis to quantitatively evaluate the role of AMF on SOC across several crop species and conditions.

We found an overall positive effect of AMF on SOC, with an average increase of 21.5%. However, this positive effect was statistically significant only in pot experiments whereas in field experiments, the effect was mainly modulated by texture and organic matter content. The effect of AMF on SOC did not vary with crop species' functional type, AMF inoculation sources (single or mixed AMF species) or other soil variables considered.

Our results highlight the significant potential for AMF‐mediated mechanisms to promote SOC accumulation in agricultural soils, although this effect is context‐dependent. However, future research with different approaches and scales is needed to evaluate the impact of AMF on SOC dynamics in agricultural systems and elucidate the mechanisms behind their contribution to SOC accrual.

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