bluuebunny/crossref_metadata_2025_split huggingface dataset:
Between facilitation and hindrance: linking CEO Machiavellianism, top management team collective organizational engagement and new ventures performance
Authors: Song Shanghao , Chen Xiaoxuan , Xu Xinfeng , Jiang Wendi , Wang Wenzhou , Shi Yunsheng 
Published: February 2025

Purpose
Based on upper echelons theory, this paper aims to explore the mixed impacts of chief executive officer (CEO) Machiavellianism on new venture performance. At the same time, this paper tests the mediating and suppression effect of top management team (TMT) collective organizational engagement, and the moderating effect of entrepreneurial orientation.

Design/methodology/approach
The authors conducted a three-wave survey of a sample of 1,550 enterprises established within three years, finally retained the full sample of 216 companies (216 CEOs, 733 vice presidents) with complete responses in all surveys. By using SPSS 26.0 and Amos 26.0 software to conduct data analysis, the authors empirically tested the hypothesized relationships.

Findings
Regression results show that CEO Machiavellianism negatively affects new venture performance through TMT collective organizational engagement, whereas there is a direct positive relationship between CEO Machiavellianism and new venture performance when TMT collective organizational engagement is controlled for. In addition, entrepreneurial orientation plays a boundary role in this mechanism, which can weaken the negative effect of CEO Machiavellianism on TMT collective organizational engagement.

Originality/value
By expanding the application contexts of the upper echelons theory, this paper enriches the research on Machiavellianism in the organizational research and further clarified the simultaneous positive and negative effects of CEO Machiavellianism on new venture performance.
The influence of digital voice of customer on the resilience of supply chains in the renewable energy industry
Authors: Zaman Syed Imran , Gunasekaran Angappa , Khan Sharfuddin Ahmed , Dawood Hamza Muhammad 
Published: February 2025

PurposeThis research examines the influence of the digital voice of consumers (DVoC) on the resilience of supply chains (SCR) within the renewable energy sector. The main goal is to identify and highlight the crucial aspects that enable the examination of this impact.Design/methodology/approachA comprehensive literature analysis was performed utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to ascertain pertinent factors. This research utilizes a comprehensive methodology that merges interpretive structural modeling (ISM) with Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis to assess the discovered variables.FindingsThe study identified 16 factors that contribute to both DVoC and SCR. Key influential factors include top management support, collaboration, feedback influence and flexibility. These factors play a significant role in enhancing SCR by facilitating better adaptation and response to disruptions.Research limitations/implicationsThe study is confined to the renewable energy sector and may lack generalizability to other businesses without additional validation. Subsequent studies ought to investigate the implementation of these findings across various industrial contexts to enhance comprehension of DVoC’s influence on SCR.Originality/valueThis study presents a new integrated framework for comprehending the function of DVoC in improving SCR. It presents significant practical consequences for stakeholders in the renewable energy sector, such as researchers, regulators, manufacturers and consumers, highlighting the necessity for a resilient and flexible supply chain.
A tailored framework for heritage and values identification in historic Alexandria: Cultural Mapping through Historic Urban Landscape conceptualisation
Authors: Teba Tarek , Hawash Hadir , Moustafa Ahmed H. , Gharib Nevin 
Published: February 2025

PurposeHeritage identification has been a challenging process in terms of capturing the holistic significance of a place, including its tangible, intangible and sociocultural dimensions. This problem is more evident in cities that face challenges of densification, housing demand and economically driven developments. The city of Alexandria in Egypt demonstrates an exemplary case in which societal and intangible values have not been adequately addressed as part of a broader marginalisation of heritage by societal, economic and political challenges. Acknowledging that participatory Cultural Mapping can inform heritage decision-making and encourage communities to create and re-create legacy through regenerative processes, this research investigates how to employ Cultural Mapping methodology in valuing local heritage in Alexandria.Design/methodology/approachBased on “Historic Urban Landscape” theorisation and a multi-method qualitative approach (i.e. desk review, literature analysis and semi-structured interviews), the article aims to build a tailored framework, utilising community-based mapping techniques for heritage identification in historic Alexandria. At later stages of this research, a framework is developed to inform the design of a localised toolkit for recognising social values.FindingsThis work is a beneficial starting point to inform and guide further mapping exercises that aim to elicit values from the local community and understand how residents value their heritage landscapes beyond the conventional approach. The study addresses critical challenges in the local context by utilising the Cultural Mapping methodology in conjunction with the Historic Urban Landscape lens. It frees heritage academic and public discourse from the prevalent perception concerned only with heritage's monumental dimensions.Originality/valueThe developed framework fills the gaps in the formal valuation process by (1) emphasising intangible values and the statement of significance as a critical step and negotiation milestone, (2) demonstrating inclusivity in terms of stakeholders’ perceptions and values and (3) providing a complementary valuation approach that addresses the multiplicity of values at different scales.
360 VR adoption intention in tourism: approach of protection motivation theory
Authors: Rahehagh Atena , Nazarova Dildora , Pallathadka Harikumar , Joshi Meeta , Aulakh Damanjeet , Prasad K.D.V. 
Published: February 2025

PurposeThis study endeavors to comprehend the impact of perceived risks and coping strategies on tourists' inclination to participate in virtual tourism.Design/methodology/approachEmploying a quantitative methodology and the protection motivation theory (PMT), an online survey was administered to 215 foreign tourists with an awareness of security concerns in Iran. The collected questionnaire data underwent statistical analysis using SPSS and structural equation modeling analysis via SmartPLS software.FindingsThe findings reveal that perceived severity and vulnerability exert a significant positive influence on the likelihood of embracing 360 VR. Additionally, the positive effect of perceived response efficacy in using 360 VR on adoption intention was confirmed. Notably, perceived self-efficacy in using 360 VR does not significantly affect adoption intention. Finally, the results showed that negative media coverage, unlike the mental image of the destination, has a positive effect on 360 VR adoption intention.Practical implicationsExtending PMT with 360 VR in tourism risk management allows for more effective risk communication. By immersing tourists in VR simulations, stakeholders can educate them about potential threats, empowering them to navigate risks confidently. This reduces anxiety and enhances travel satisfaction. Moreover, VR integration across sectors promotes a collaborative and proactive approach to risk mitigation within the tourism industry.Originality/valueThis research extends PMT to understand 360 VR adoption in tourism. It investigates how perceived security risks (severity and vulnerability), coping strategies (response efficacy and self-efficacy), negative media and destination image influence tourists' intention to use 360 VR experiences. The findings offer valuable insights for destination marketers in addressing perceived security risks and promoting 360 VR adoption.
Tourist experiences: a systematic literature review of computer vision technologies in smart destination visits
Authors: Panigrahy Abhijeet , Verma Anil 
Published: February 2025

PurposeThis study investigates the applications of computer vision (CV) technology in the tourism sector to predict visitors' facial and emotion detection, augmented reality (AR) visitor engagements, destination crowd management and sustainable tourism practices.Design/methodology/approachThis study employed a systematic literature review, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology and bibliometric study on research articles related to the tourism sector. In total, 407 articles from the year, 2013 to 2024, all indexed in Scopus, were screened. However, only 150 relevant ones on CV in Tourism were selected based on the following criteria: academic journal publication, English language, empirical evidence provision and publication up to 2024.FindingsThe findings reveal a burgeoning interest in utilizing CV in tourism, highlighting its potential for crowd management and personalized experience. However, ethical concerns surrounding facial recognition and integration challenges need addressing. AR enhances engagement, but ethical and accessibility issues persist. Image processing aids sustainability efforts but requires precision and integration for effectiveness.Originality/valueThe study’s originality lies in its thorough examination of CV’s role in tourism, covering facial recognition, crowd insights, AR and image processing for sustainability. It addresses ethical concerns and proposes advancements for a more responsible and sustainable tourist experience, offering novel insights for industry development.
Carbon emission disclosure and earnings management: ethical behaviour or opportunism motivation?
Authors: Mayapada Arung Gihna , Lyu Junxiu 
Published: February 2025

Purpose
This study aims to investigate the relationship between carbon emission disclosure and earnings management within Indonesian firms. The authors use the stakeholder theory and agency theory frameworks to explain this relationship.

Design/methodology/approach
Panel data of Indonesian listed firms between 2016 and 2021 are used in this study. Data are analysed using fixed effects with robust standard errors.

Findings
Firms disclosing carbon emission-related information exhibit less absolute discretionary accruals. This finding implies that these firms are less likely to engage in unethical financial reporting practices, such as earnings management. This finding is also confirmed through the robustness check and endogeneity tests.

Practical implications
The findings of this study can be used when formulating policy initiatives and regulations to promote carbon emission disclosure practices within Indonesian firms.

Originality/value
To the best of the authors’ knowledge, this study is the first to examine the effect of carbon emission disclosure in sustainability reports on earnings management amid the sustainability reporting requirement period. It provides empirical evidence that carbon emission disclosure is considered an ethical practice in an emerging country.
Material and energy co-optimization for additive manufacturing of scale-up prototypes based on multiple layers prediction
Authors: Gao Mingyu , Xu Jinghua , Liu Kunqian , Zhang Shuyou , Tan Jianrong 
Published: February 2025

Purpose
The purpose of this paper is to verify the performance and function of the scale-up prototypes by predicting the material and energy consumption on the basis of dimension-reduced prototypes. Additive manufacturing (AM) costs determine carbon emissions in total life cycle, among which material and energy consumption are major components. Predicting material and energy consumption is fundamental to reducing costs.

Design/methodology/approach
This paper presents a material and energy co-optimization method for AM via multiple layers prediction (MLP). Material and energy consumption are predicted to reduce the AM costs. In particular, scalable, complex curved surface component is used to improve forecasting efficiency. Subsequently, the back pressure distribution is obtained by scale-up specimens, which can lay the foundation for the ergonomic conceptual design.

Findings
Taking evolutionary ergonomic product as an example, the relative gravity direction of backrest is calculated. The material and energy consumption are predicted with low deviation. Physical experiments were carried out to validate information. Digital and physical tests have revealed that material and energy co-optimization improves manufacturing efficiency.

Originality/value
The innovatively proposed MLP method predicts material and energy consumption of scale-up prototypes to reduce the costs. It is propitious to improve the carbon emission efficiency in life cycle of AM. The originality may be widely adopted alongside increasing environmental awareness.
A textometric analysis of Quality 4.0 research
Authors: El Manzani Younès , Belahouaoui Rida , Tajouri Oumayma 
Published: February 2025

PurposeThis study aims to provide a comprehensive, textometric analysis of the evolving Quality 4.0 (Q4.0) research, identifying key themes, emerging trends and critical research gaps in the field.Design/methodology/approachA total of 129 peer-reviewed articles on Q4.0 were analyzed using IRAMUTEQ software. The textometric approach employed includes lexicographic analysis, descending hierarchical classification, factorial correspondence analysis and similarity analysis to uncover underlying patterns in the literature.FindingsThree major clusters emerged from the analysis of Q4.0 research: (1) the digital transformation of quality management practices, (2) technological enablers of Q4.0 and (3) organizational implications of Q4.0 adoption. Key themes identified include the integration of Industry 4.0 technologies (e.g. IoT, AI and big data) into traditional quality management systems, the role of artificial intelligence in quality control and the challenges organizations face during Q4.0 implementation. This research also conceptualizes a comprehensive framework that outlines a strategic roadmap for Q4.0 adoption and integration, including the identification of antecedents and consequences of Q4.0 implementation. Additionally, the study proposes a measurement scale for assessing the dimensions of Q4.0.Practical implicationsThe research proposes valuable implications for practitioners and organizations seeking to implement Q4.0 strategies as well as for researchers in the field of digital transformation and quality management. The proposed conceptual framework serves as a practical guide for effectively navigating Q4.0 implementation in diverse organizational contexts.Originality/valueThis study presents an innovative approach by applying textometric analysis to the field of Q4.0, offering an objective, data-driven perspective on the existing literature. It identifies significant gaps in research and proposes future avenues for investigation. As one of the first studies to develop a conceptual framework for Q4.0, including its antecedents, consequences and a measurement scale, this research provides a foundational contribution to the growing body of knowledge on Q4.0.
Artificial intelligence driven adaptive learning methods in sustainable tourism education
Authors: Neophytou Raphaela , Liasidou Sotiroula , Pipyros Kosmas , Christofi Anastasia 
Published: February 2025

PurposeThe research’s purpose is to examine the incorporation of Artificial Intelligence (AI) within the context of sustainable tourism education, emphasizing its capacity to augment educational achievements and provide future practitioners with vital competencies.Design/methodology/approachSemi-structured interviews targeting academics in the tourism field were conducted.FindingsThe study results are indicative and suggest a compatible relationship between the benefits of integrating educational content on sustainable tourism and AI. Specifically, AI can equip students with a more analytical understanding of sustainability.Originality/valueThe study’s originality exists in the integration of AI as an innovative tool into the educational context of sustainable tourism, thereby providing students with valuable knowledge.
Global warming affects foraging efficiency of fish by influencing mutual interference
Authors: Augustyniak Mateusz , Preiszner Bálint , Kobak Jarosław , Czeglédi István , Kakareko Tomasz , Erős Tibor , Cuthbert Ross N. , Jermacz Łukasz 
Published: February 2025

Abstract

Predator–prey interactions underpin ecological dynamics from population to ecosystem scales, affecting population growth and influencing community stability. One of the classic methods to study these relationships is the functional response (FR) approach, measuring resource use across resource densities.

Global warming is known to strongly mediate consumer–resource interactions, but the relevance of prey and predator densities remains largely unknown. Elevated temperature could increase consumer energy expenditure, which needs to be compensated by greater foraging activity. However, such greater activity may concurrently result in a higher encounter rate with other consumers, which potentially affects their total pressure on resource populations because of synergistic or antagonistic effects among multiple predators.

We performed a laboratory experiment using three densities of a fish predator (pumpkinseed, Lepomis gibbosus) (one, two and four specimens), two temperatures (25 and 28°C) and six prey densities. Using the FR approach, we investigated the combined effects of elevated temperature and predator and prey density on the consumer's foraging efficiency.

We observed a reduced maximum feeding rate at the higher temperature for single predators. However, the foraging efficiency of predators in groups was negatively affected by antagonistic interactions between individuals and further mediated by the temperature. Specifically, we observed a general decrease in antagonistic interactions at elevated compared to the ambient water temperature for multiple predator groupings. Irrespective of temperature, antagonistic multiple predator effects increased with predator density and peaked unimodally at intermediate prey densities, indicating multiple dimensions of density‐dependence that interact to supersede the effects of warming.

This study shows that conspecific presence negatively affects the per capita performance of predators, but that this effect is dampened with increasing temperature. Their adaptive response to temperature consists of limited food intake and further reduced intraspecific interactions. Including intraspecific competition in study design may thus offer more realistic outcomes compared to widely used experiments with only single predator individuals, which could overestimate the effect of increasing temperature.
Accounting for non‐random samples with distance sampling to estimate population density
Authors: Diefenbach Duane R. , Trowbridge Jacob , Van Buskirk Amanda , McConnell Tess , Lamp Kevin , Marques Tiago A. , Walter W. David , Wallingford Bret D. , Rosenberry Christopher S. 
Published: February 2025

Abstract

A critical assumption of standard distance sampling is that sampling lines are located such that animals are uniformly distributed as a function of distance from the line. Failure to meet this assumption can introduce bias in the estimator.

Many studies have used landscape features, such as roads or rivers, as lines, which can violate assumptions of distance sampling in two ways. First, animals may be attracted or repelled by the landscape feature due to human activity (e.g. along roads) or habitat characteristics associated with the feature (e.g. rivers). Second, sampling along landscape features may not be representative of the larger area of interest.

We used auxiliary data to generalize the distance sampling estimator and relax assumptions of a uniform distribution of animals relative to distance from the line (i.e. density gradient) and to allow the distribution of animals to differ by habitat type. The generalized estimator provides unbiased estimates of density within the area sampled but may not be representative of the study area.

To address the problem of landscape features providing unrepresentative sampling, we used a resource selection model to estimate the proportion of the population that occurred within the surveyed area to obtain an estimate of abundance for the desired area of inference.

We demonstrate our modified distance sampling estimator using white‐tailed deer (Odocoileus virginianus) in a 972‐km2 study area. We conducted infrared surveys of deer from roads to collect distance‐to‐transect data. We used locations of radio‐collared deer to model the distribution of deer relative to the transects and to develop a resource selection model of deer based on distance to roads, habitat type, elevation and slope to account for roads being a non‐representative sample of the study area.

Synthesis and applications. When using landscape features as survey lines, the density gradient and deer distribution can introduce either positive or negative bias, which makes it impossible to assess the bias introduced without auxiliary data. The estimator we developed can improve precision because we obtained a better fit to distance observations and accounts for non‐random placement of transects with minimal loss of precision.
We Feel, We Understand: Examining the Moderating Effects of Publics' Empathy on Crisis Outcomes Across Crisis Types and Response Strategies
Authors: Ndone James 
Published: February 2025

ABSTRACTThis study examines how empathy, operationalized into affective and cognitive dimensions, influences stakeholders' perceptions during organisational crises. Also, the study explores the mediating role of account acceptance in the relationship between crisis response strategies and organisational outcomes. An online three (crisis type: victim vs. accidental vs. preventable) × two (crisis response strategy: apology vs. denial) between‐subjects experimental design with 686 participants randomly assigned to different crises (victim, accidental, preventable) and response strategy (apology, denial) was conducted. The findings reveal that account acceptance mediates the relationship between crisis response strategies and key organisational outcomes such as reputation, forgiveness, and purchase intention. Moreover, affective and cognitive empathy serve as moderators, amplifying or diminishing the effectiveness of these strategies. This research provides both theoretical insights and practical guidance on leveraging empathy to enhance crisis communication.