bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANP-MEAT-based evaluation of the performance of rural infrastructure provision in Mainland China
Authors: Zhu Lei , Sun Jinting , Zhang Lina , Du Jing , Li Dezhi , Zhao Xianbo 
Published: January 2025

PurposeIt is a complex and dynamic process to provide high-quality rural infrastructure. However, there lacks a holistic performance evaluation method for rural infrastructure provision that reflects changing rural social needs and takes a village as a whole. This study aims to develop a holistic and dynamic performance evaluation model for rural infrastructure in Mainland China.Design/methodology/approachThis study established an evaluation index system by combining the lifecycle theory and the economy, efficiency, effectiveness and equity (4E) theory. This study developed an evaluation model by using the analytic network process (ANP) and matter-element analysis theory (MEAT). The model was validated by two representative villages in Mainland China.FindingsThe developed model can reflect dynamic social needs and effectively evaluate the overall infrastructure provision performance of a village. The weight of indicators reflects the changes in Mainland China’s contemporary rural social needs, with particular emphasis on the impact and output performance. The evaluation result shows that the overall performance of the representative villages was excellent but had a tendency toward good. Although the output performance was excellent, different input, process and impact performances resulted in different downgrade trends.Originality/valueThis study provides a theoretical basis for disaggregating the complex issue of the performance of rural infrastructure provision. The results can be used by relevant authorities to make a holistic and dynamic evaluation of the performance of rural infrastructure provision and timely revise planning and management policies.
Women working in public and private sector organisations in Oman: are they free to glide?
Authors: Belwal Rakesh , Al Fazari Maryam , Mansour Shwaky 
Published: January 2025

PurposeThis study examines the condition of working women within Oman’s socioeconomic framework, emphasizing their underrepresentation in senior management, the effects of workplace constraints on career progression and solutions to enhance opportunities for women in leadership roles.Design/methodology/approachThe study used a mixed-methods approach, incorporating both quantitative and qualitative analyses. The quantitative phase involved a survey of 215 Omani professionals − 87 male and 128 female, with data analysed using IBM SPSS 28 and SmartPLS 4. Analyses included measures of central tendency and deviation as well as PLS SEM-based path analysis and multigroup analyses.FindingsThe inclusion of women positively influences their career advancement, while harassment and gender discrimination hinder progress. Gender discrimination has a more substantial effect at lower and middle levels but is less impactful at the top level. Harassment affects women over 40 more significantly, with little impact on younger women. Additionally, domestic gender roles particularly hinder the career advancement of women in the 31–40 age group.Practical implicationsThe practical consequences encompass the establishment of mentorship programmes, the provision of networking opportunities and the promotion of gender equity awareness. These programmes promote an inclusive workplace, facilitating women’s professional growth. Mentorship and networking offer crucial assistance and connections, whereas growing awareness of gender biases fosters equity and equal treatment for all employees. These initiatives jointly foster a more equal work environment.Social implicationsBy implementing sustainable measures and fostering a culture of equity and inclusivity, Oman can prevent gender discrimination and further solidify its commitment to gender equality. This will create an environment where everyone, regardless of gender, has equal opportunities to succeed and thrive.Originality/valueThis research is distinctive within the Omani setting, as no previous studies have explicitly examined women’s career progression from a socioeconomic perspective.
Sustainable, greener and safer asphalt pavements considerations under tropical conditions
Authors: Rughooputh Reshma , Qasrawi Hisham , Veeramah Avinaash 
Published: January 2025

PurposeThe main aim of this paper was to investigate the possibility of obtaining green sustainable asphalt mixes by using two different recycled materials: reclaimed asphalt pavement (RAP) and crumb rubber (CR) from scrap tyres. With the numerous environmental and social benefits brought about, the use of modified hot mix asphalt and warm mix asphalt (WMA) mixtures should be the focal point of the construction policies in developing countries. Adaptation of this solution would result in an economical and sustainable green pavement with high resilience and safer workspace area with less fumes and odours for asphalt workers.Design/methodology/approachExperimental work-testing one control mix and modified design mixes, which have been modified either by RAP, CR, a WMA additive or any combination of the latter three products.FindingsFrom the different test results, it can be rightly concluded that the addition of CR and RAP do enhance the properties of asphalt mixes to a varying degree. While CR adds a certain flexibility to the mixes and reduces the voids present, the presence of RAP has an amplified effect on stability, especially when coupled with rubberised WMA.Research limitations/implicationsMarshall method still used as opposed to Superpave method in developing countries (Mauritius, Jordan here in).Originality/valueA study for Tropical Island and its uniqueness to add to present knowledge.
Effectuation, causation and CEO tenure: navigating SME performance in dynamic environments
Authors: Kozachenko Ekaterina 
Published: January 2025

Purpose
Amidst global economic uncertainties, small and medium-sized enterprises (SMEs) are confronted with the pressing need to adapt to complex and ambiguous external landscapes. This study aims to investigate how the decision-making strategies of causation and effectuation are related to the performance of Russian SMEs and whether and how this relationship is moderated by CEO tenure.

Design/methodology/approach
Using a sample of 602 Russian SMEs, hierarchical linear modeling and its estimation using ordinary least squares is conducted. Robustness checks and post hoc analysis are performed.

Findings
The findings provide insights into effectuation theory by looking at and testing its basic tenets in an underexplored context and investigating the direct and moderated effects of causation and effectuation on SME performance. Moreover, the study builds upon upper-echelons theory (UET) by considering CEO tenure – an individual-level characteristic – as a moderator in the effectuation/causation and SME performance relationship. A framework for understanding how executives’ attributes shape organizational strategies and outcomes is provided.

Originality/value
The findings contribute to effectuation theory by testing its core principles in emerging market context, examining both direct and moderated effects of causation and effectuation on SME performance. Moreover, the study builds upon upper-echelons theory (UET) by considering CEO tenure – an individual-level characteristic – as a moderator in the effectuation/causation and SME performance relationship. This study offers a framework for understanding how executive characteristics shape organizational strategies and outcomes in emerging markets.
Bank stability in the Eurozone: a comprehensive analysis of key determinants (2006–2021)
Authors: Hajdini Artan , Hoti Arber 
Published: January 2025

PurposeBanks are the primary financial institutions that play a crucial role in the financial system, as their stability is essential for a sustained economy. Therefore, this research article aimed to unveil the determinants of bank stability in the Eurozone countries for 2006–2021.Design/methodology/approachMost of the data used in this analysis (i.e. the dependent and independent variables) were obtained from a single credible international source, the Global Economy database. We considered several regression models in this study and concluded that the Hausman–Taylor estimation model was the most appropriate for the data in question.FindingsOverall, the research reliably reported nine independent variables (out of eleven included in the regression analysis equation) that were found to be essential for bank stability, as prescribed by the banking system z-scores. Of course, the Hausman–Taylor model was not a biased choice but a scientifically justifiable one.Research limitations/implicationsThe analysis is limited by data availability and the chosen econometric model, which may affect the generalizability of the findings. Future research should consider a broader set of variables and alternative modeling approaches.Originality/valueThis research provides a novel integration of macroeconomic and bank-specific factors in analyzing bank stability, offering valuable insights for policymakers and regulators in the Eurozone.
Optimizing health system volume flexibility: key determinants and strategies during the COVID-19 crisis
Authors: Choi Seongwon , Powers Thomas 
Published: January 2025

PurposeThe need to match highly variable demand for healthcare services with existing capacity has been a significant health system challenge experienced by the COVID-19 pandemic. Despite mounting research on various COVID-19 responses in the recent literature, there has not been a structured review examining key determinants of health system volume flexibility. The focus of the present research is to review recent literature based on a conceptual framework developed based on the volume flexibility literature on COVID-19. The review also provides a meaningful way to guide practice and future research in the area.Design/methodology/approachA literature review was performed guided by the theoretical frameworks developed in the previous volume of flexibility literature. Selected research papers were reviewed and analyzed to identify key determinants of health system volume flexibility.FindingsSeven determinants of health system volume flexibility under three domains (demand management, capacity management, and performance) included demand management strategies, integration, capacity management strategies, workforce management, technology, quality of disease outcomes, and health system knowledge.Originality/valueThe research provides both health systems researchers as well as practitioners with a foundational conceptual framework and knowledge related to health system volume flexibility. In addition, this research identifies future research areas to expand knowledge relevant to health system volume flexibility.
Consumer perceptions of AI chatbots on Twitter (X) and Reddit: an analysis of social media sentiment and interactive marketing strategies
Authors: Graham Christian , Stough Rusty 
Published: January 2025

PurposeThis study investigated consumer perceptions of AI chatbots focusing on sentiment analysis across Twitter (X) and Reddit during ChatGPT3 through ChatGPT4 launches. It identifies user sentiments: positive, negative, or neutral and explores their impact on chatbot deployment in interactive marketing. The goal was to understand consumer engagement dynamics and provide insights for enhancing marketing strategies and consumer interactions with chatbots.Design/methodology/approachUsing sentiment analysis, this research examined the nature and scope of discussions surrounding AI chatbots. This methodological approach allowed for a nuanced understanding of the predominant sentiments: positive, negative, or neutral, expressed by users providing insights into consumer engagement and interaction patterns.FindingsThe findings reveal a diverse range of consumer sentiments toward ChatGPT 3, reflecting varying degrees of acceptance and skepticism. These varied sentiments are crucial for organizations in shaping their interactive marketing strategies, particularly in how they deploy chatbots for consumer engagement and brand interaction.Practical implicationsTrust and positive sentiment toward ChatGPT, particularly on platforms like Twitter and Reddit, suggest it is becoming part of everyday life. However, concerns about its impact on human jobs and the lack of emotional intelligence persist. Users still weigh the benefits and drawbacks of ChatGPT, with negative and neutral sentiments reflecting these worries. For interactive marketers, this presents an opportunity to differentiate through human interaction in customer-facing roles. Addressing the risks and ethical concerns of AI, marketers can better engage consumers and refine strategies for future chatbot deployments, ensuring AI enhances rather than detracts from the customer experience.Originality/valueThis paper makes a unique contribution to the existing literature by demonstrating how consumer perceptions, rather than mere acceptance, directly influence the strategic use of AI chatbots in interactive marketing. By focusing on perceptions, this study offers deeper insights from social media sentiment analysis that can refine marketing campaigns and enhance consumer engagement with emerging technologies in the digital landscape.
The negative expectation–performance gap and internationalization speed of EMNEs: the moderating effect of organizational slack
Authors: Yi Changjun , Li Chuwei , Yan Chun , Guo Minmin , Zhao Xiaoyang 
Published: January 2025

PurposeThe purpose of this study is to investigate the impact of the negative expectation–performance gap on the internationalization speed as well as the moderating role of organizational slack, based on the performance feedback theory and the springboard perspective.Design/methodology/approachThis paper takes the Chinese A-share listed companies engaged in outward foreign direct investment (OFDI) between 2010 and 2022 as the research sample. A two-way fixed effects model is employed to test the research hypotheses, using a dataset comprising 6,868 observations.FindingsThe findings show that there is a positive relationship between the negative expectation–performance gap and internationalization speed for Chinese multinational enterprises (CMNEs). In addition, this effect is stronger in private CMNEs. Furthermore, the relationship is negatively moderated by organizational slack. Additional findings suggest that that negative industry expectation-performance gap has a stronger impact on the internationalization speed. The moderating effect of unabsorbed slack resources is more pronounced.Practical implicationsWhen emerging market multinational enterprises (EMNEs) face the dilemma of underperforming, they may consider a rapid internationalization strategy as a solution to improve performance. However, EMNEs should be wary of falling into a resource trap. Organizational slack reduces managers’ incentives to identify issues associated with negative performance feedback, thereby diminishing the likelihood of addressing performance challenges through rapid internationalization. For state-owned EMNEs, optimizing organizational structure and improving the efficiency of responses to negative performance feedback are essential.Originality/valueUnlike previous studies, this paper integrates performance feedback theory and the springboard perspective to explore in depth the relationship between performance feedback, internationalization speed and organizational slack within the context of managers’ cognitive and decision-making mechanisms. It also examines the distinct impacts of historical and industry negative expectation–performance gaps as well as the different moderating roles of absorbed and unabsorbed organizational slack, which have not been explored together before.
Investigating patterns of knowledge production in research on three UN sustainable development goals
Authors: Klebel Thomas 
Published: January 2025

PurposeIn today’s knowledge societies, scientific research is tasked to contribute to solving crucial problems, such as the UN Sustainable Development Goals (SDGs). Epistemic inequality, both in terms of who is able to contribute, and whose voices are being heard, could hamper our ability to develop solutions that meet the needs of all.Design/methodology/approachWe assembled a set of publications published from 2006 to 2019 related to three SDGs (Health/Well-Being, Climate Action, Zero Hunger) by mapping Fields of Study from Microsoft Academic Graph to SDGs. Across this set, we investigate patterns of knowledge production, investigating gender, levels of institutional resourcing and contributions by world region, as well as Open Access availability of research.FindingsResearch related to the three SDGs is primarily published by researchers from institutions situated in the global North. Well-resourced institutions contribute disproportionately to the study of the three SDGs. The share of authorships by women is rising, but still far away from equity. We find higher ranked institutions to produce more OA articles, with a declining relationship between institutional ranking and the share of OA. Finally, we find overall higher shares of OA publishing across low- and high-income countries, compared to lower and upper medium income countries.Originality/valueMapping research contributions to SDGs by leveraging the comprehensive data available from Microsoft Academic Graph adds an important perspective to the study of SDG-related research.
Humanized algorithms matter! From enabling social exchange factors to building affective trust mechanism for facilitating gig workers’ task performance
Authors: Chen Jianyu , Chen Min 
Published: January 2025

PurposeDigital platform work monitored by algorithms is increasingly supplementing or substituting standard employment. Though gig workers are faced with the vulnerable, fragile and precarious digital platform work environment, the reason why gig workers remain highly willing to show good task performance has been so far unexamined. Building upon the reciprocity of the social exchange theory, this study aims to explore the antecedents and boundary condition of facilitating gig workers’ task performance.Design/methodology/approachFirst, to minimize common method variance, decline spurious mood effects and ensure data robustness, we conducted a two-wave time-lagged survey and collected 269 survey responses from gig workers on different gig platforms in China (e.g. Meituan, Eleme, Didi, Credamo, Zaihang) at two time nodes. Second, abiding by two stage procedures of the PLS-SEM (partial least square structural equation model) approach, we analyzed a moderated mediation model in the digital platform work context.FindingsResults present that both platform work remuneration and flexibility help gig platforms develop an affective trust relationship with gig workers, thus encouraging them to repay the platform by performing platform tasks well. Algorithmic monitoring shows a “double-edged sword” moderating role since it weakens the indirectly positive relationship between platform work remuneration and task performance via affective trust but enhances the indirectly positive relationship between platform work flexibility and task performance via affective trust.Practical implicationsUnderstanding the importance of remuneration and flexibility in developing affective trust can help platforms design effective human resource management (HRM) strategies that enhance worker motivation of maintaining high engagement and performance under precarious working conditions. Additionally, optimizing the “double-edged sword” moderating role of algorithmic monitoring makes it more humanized, enhancing the efficiency with these HRM strategies and making both workers and platforms beneficial.Originality/valueThese findings offer an affective trust-based explanation for the mechanism of maintaining high work performance motivation in the nonstandard and precarious employment from the social exchange perspective, while understanding the (de)humanized aspect of algorithmic monitoring by revealing its “double-edged sword” moderating role.
The proportion of low abundance species is a key predictor of plant β‐diversity across the latitudinal gradient
Authors: Xiao Jing , Feng Yuantao , Zhang Huixin , Xu Chenchao , Zhang Kaihang , Cadotte Marc W. , Cheng Lei 
Published: January 2025

Abstract

The diversity of life displays very strong patterns of disparity across the Earth. Beta (β)‐diversity (species compositional differences among sites) of woody plants, for instance, has usually been documented to decline with increasing latitude. Understanding these patterns, however, remains a grand challenge in ecology and evolution.

We develop a mathematical model to explain patterns of β‐diversity across multiple landscapes. The model effectively predicts β‐diversity in simulated and natural communities, regardless of the types of species abundance distributions.

Our model provides the novel insight that the proportion of species in the lowest abundance category (PL), which represents the share of relatively rare species in the regional species pool, is the key predictor of plant β‐diversity. By applying the model to global forest inventories sampled from 40.7° S to 60.7° N, we find that PL explains nearly 85% of the variation in plant β‐diversity along the global latitudinal gradient. Through a series of numerical simulations, we further show that the predictive power of PL on plant β‐diversity on a global scale is largely determined by the variation of intraspecific aggregation among different communities.

Synthesis: We develop a new sampling model to predict patterns of β‐diversity and find that the PL explains the majority of the variation in plant β‐diversity along the latitudinal gradient. Our work provides a new tool in analysing β‐diversity and advances the theoretical understanding of large‐scale β‐diversity patterns across environmental gradients.
Ring A Cleaving Beta‐Diketone Hydrolase Is a Key Enzyme of Steroid Degradation in Anaerobic Bacteria
Authors: Jacoby Christian , Peller Lina , Wenzler Jana , Luttermann Monika , Seiche Wolfgang , Breit Bernhard , Boll Matthias 
Published: January 2025

ABSTRACTBacterial degradation of ubiquitous and persistent steroids such as steroid hormones is important for their removal from the environment. Initial studies of steroid degradation in anaerobic bacteria suggested that ring‐cleaving hydrolases are involved in oxygen‐independent sterane skeleton degradation. However, the enzymes involved in ring A cleavage of the common intermediate androsta‐1,4‐diene‐3,17‐dione have remained unknown. Here, we enriched a ring A hydrolase from cholesterol/nitrate grown Sterolibacterium denitrificans and from Escherichia coli after heterologous expression of its gene. This enzyme specifically cleaves the cyclic 1,3‐diketone of the central degradation intermediate, androsta‐1,3,17‐trione to 1,17‐dioxo‐2,3‐seco‐androstan‐3‐oate (DSAO), a hallmark reaction of anaerobic steroid degradation. The highly conserved ring A hydrolase was identified in all known and many previously unknown steroid‐degrading proteobacteria. Using enriched enzymes, we enzymatically produced DSAO from the chemically synthesised androsta‐1‐en‐3,17‐dione precursor, allowing the identification of subsequent metabolites involved in ring A degradation. The results obtained suggest the involvement of an additional hydrolase, an aldolase, and a β‐oxidation‐like cascade for complete ring A degradation to form the three‐ring 5,10‐seco‐1,2,3,4‐tetranorandrosta‐5,17‐dione. The results identified a key enzyme of anaerobic steroid degradation that may serve as a functional marker for monitoring steroid contaminant degradation at anoxic environmental sites.