bluuebunny/crossref_metadata_2025_split huggingface dataset:
Policies and actions to support surfers in drowning prevention: insight from Aotearoa New Zealand
Authors: Le Dé Loïc , Mead Jamie 
Published: January 2025

PurposeEvery year, thousands drown at coastal beaches worldwide. In recent years, several studies have documented the contribution of surfers in rescuing people from drowning. It is increasingly recognised that policies and actions should be developed to support surfers’ roles in drowning prevention. To date, limited studies have examined surfers’ views on the ways to empower them in preventing drowning, including the opportunities and barriers to implement such actions. This study aimed to fill this knowledge gap and make policy recommendations to support surfers towards reducing drowning risk.Design/methodology/approachThe research focused on Aotearoa New Zealand. It involved a mixed-methods approach with a questionnaire-based survey distributed nationally with 248 respondents and a focus group discussion using participatory methods with 12 surfers’ participants. The data produced were analysed thematically.FindingsThe study found that empowering New Zealand surfers in drowning prevention should involve training that caters for surfers’ experience and specific needs, strengthening collaboration with lifeguards, facilitating access to key rescue and resuscitation resources at coastal beaches and developing communication strategies that highlight surfers’ role for drowning prevention.Originality/valueThe study highlights that surfers make a considerable contribution to drowning reduction: it is critical that policymakers and practitioners work closely with surfers in their drowning prevention and water safety strategies. This research provides novel information about surfers’ views on ways to support them towards playing a greater role in drowning prevention. It makes actionable recommendations geared towards policymakers and practitioners involved in drowning prevention and disaster risk management.
Knowledge, attitude and practice towards blockchain potential for digital marketing: scale development and validation
Authors: Mahmoud Ali B. , Kumar V. , Berman Alexander , Elhajjar Samer , Fuxman Leonora 
Published: January 2025

Purpose
This study aims to explore blockchain potential for digital marketing (BlkChn-Mk-KAP) by developing and validating a measurement model for assessing the constructs of knowledge, attitude and practice (KAP) related to blockchain technology in digital marketing.

Design/methodology/approach
A four-study process was used. The first study reviewed the literature to develop a pool of possible measurement items. Using exploratory factor analysis and reliability assessments, Study 2 (n = 162) investigated the dimensionality of the items developed in Study 1. The factorial structure from Study 2 was validated in Study 3 (n = 204), and the measurement model invariance was assessed using covariance-based structural equation modelling (CB-SEM). Finally, in Study 4 (n = 203), the predictive validity of the BlkChn-Mk-KAP was tested using a CB-SEM approach, testing its constructs correlations with the perceived usefulness of blockchain for digital marketing.

Findings
The findings indicate that the BlkChn-Mk-KAP measurement model comprises three-dimensional multi-item scales: knowledge, attitude and practice.

Research limitations/implications
This study introduces a promising BlkChn-Mk-KAP model to examine blockchain’s role in digital marketing. The authors acknowledge the sampling limitation in this research. To enhance the generalisability of the findings, future research should expand to different groups, including generation, gender and age. In addition, further exploration of the explicit links between blockchain knowledge, attitudes and subsequent digital marketing performance is warranted.

Practical implications
Educating employees about blockchain technology’s unique features can shape favourable attitudes and stimulate the utilisation of blockchain-enabled technologies in digital marketing practice. BlkChn-Mk-KAP can offer a reliable and valid instrument to benchmark marketers’ KAP of blockchain-powered digital marketing as they implement blockchain technology to gain a competitive advantage.

Social implications
This study helps to adopt sustainable practices ensuring the wellbeing of the key stakeholders.

Originality/value
This research introduces the first validated conceptualisation and measurement model, BlkChn-Mk-KAP, to evaluate blockchain KAPs among digital marketing professionals.
Integrated risk analyses as part of national climate risk assessments: lessons learnt from the climate risk assessment of Germany
Authors: Kahlenborn Walter , Voss Maike , Porst Luise , Zebisch Marc , Renner Kathrin , Schauser Inke 
Published: January 2025

Purpose
Climate risk assessments (CRAs) become more and more necessary to prepare and prioritise adaptation action. On a policy level, the results of CRAs offer the foundation for national adaptation strategies. However, existing CRAs oftentimes do not exploit their full potential by means of an integrated assessment, i.e. to illustrate the complexity of cascading risks, provide cross-sectoral results, integrate adaptive capacity and demonstrate spatial patterns. This paper seeks to fill this gap by dissecting integrated assessment approaches of national CRAs.

Design/methodology/approach
The paper focuses on the integrated analyses of the results of CRAs. Based on a review of selected national, multi-sectoral CRAs, the authors explore the application of such analyses. Additionally, drawing on the latest climate impact and risk assessment for Germany, the authors highlight latest approaches and their implications.

Findings
The authors show that even though progress in establishing integrated assessment methods has been made, no common framework exists so far and only few national CRAs include extensive integrated analyses. Nevertheless, the German example demonstrates that integrated analyses can provide a comprehensive overview over risk dynamics, (spatial) patterns and needs for action thus providing practical advice for decision-making on a national adaptation policy level.

Originality/value
While it is common knowledge that CRAs in general provide better results, if the models applied are integrated (i.e. combining climate, geo-physical, economic, etc. factors), little attention has been given to the integrated analyses of their results. This paper provides valuable new insight on this aspect which will become far more important in the future.
A comparative study of job insecurity: who suffers more?
Authors: Darvishmotevali Mahlagha 
Published: January 2025

Purpose
This study is a pioneering attempt to explore a relatively unexplored research area that examines the differences experienced by subordinates and supervisors when confronted with both quantitative and qualitative job insecurity (JI) and its influence on their creative performance (green and non-green), taking into account their subjective well-being (SWB). Furthermore, this study aims to examine the potential role of supportive leadership in enhancing the SWB of both subordinates and supervisors, aiming to determine the level of support they receive from their supervisors/managers/leaders during challenging situations.

Design/methodology/approach
Data were collected from supervisors and subordinates working in upscale hotels in Guangzhou, China. The online survey platform WJX.com was used to gather the data. The confirmatory factor analysis, measurement reliability and validity assessment were carried out using a consistent partial least squares (PLS) algorithm. The causal relationships of the hypotheses were tested through consistent PLS bootstrapping.

Findings
At the subordinate level, quantitative JI positively influenced two forms of performance, whereas qualitative JI had a negative impact. SWB partially mediated the impact of qualitative JI on outcomes. At the supervisory level, quantitative JI had no significant impact on the measured variables. Supportive leadership partially moderated the qualitative JI-SWB relationships.

Originality/value
Building upon the transactional model of stress and conservation of resource - theory, this comparative study provides novel insight into how the hierarchy perceives JI and stress and how these perceptions and suffering impact their well-being and responsibilities. The novel findings contribute to the literature by highlighting that, in times of adversity (e.g., the recent health crisis), supervisors whose responsibility is to support subordinates may themselves feel uncertain about their job security and seek support from upper management.
Integrating sustainable development goals into HRM in emerging markets: an empirical investigation of Indian and Chinese banks
Authors: Shahid Sehrish , Kaur Kuldeep , Patel Parth , Kumar Sanjeev , Prikshat Verma 
Published: January 2025

PurposeThis study explores the role of human resource management (HRM) practices in advancing sustainable development goals (SDGs) within emerging markets. Specifically, we examine how HRM practices in financial institutions in the emerging markets of India and China promote SDGs 8 (decent work and economic growth), 10 (reduced inequalities) and 13 (climate action). We also propose a framework integrating these key SDG goals with core HRM functions.Design/methodology/approachSecondary data analysis was employed using data from sustainability reports of the top five Indian and Chinese banks listed in Forbes – the Global (2000) ranking for 2022–2023. These sustainability reports were analysed based on their reporting of indicators from the Global Reporting Initiative GRI 400 series, aligned with the SDGs 8, 10 and 13.FindingsThe result of the comparative analysis indicates that both Indian and Chinese banks use HRM practices of recruitment and selection, rewards and payments, workplace health and safety, and training and development to meet SDGs 8 (decent work and economic growth), 10 (reduced inequalities) and 13 (climate action). Regarding the reporting and disclosure of HRM practices in diversity, equity and inclusion, Indian banks outperform Chinese banks, and these practices contribute significantly to SDGs 8, 10 and 13. The dominance of state-owned initiatives in China dictates the alignment of HRM strategies with economic priorities at the national level, highlighting the challenge of balancing global sustainability initiatives with a centralised management system.Originality/valueThe study provides a comprehensive examination of sustainability reports with a specific focus on HRM practices and their role in advancing SDGs. It applies institutional theory to understand the differences in the reporting and implementation of HRM practices that contribute to the achievement of SDGs.
Exploring the nexus between intellectual capital, green innovation, sustainability and financial performance in creative industry MSMEs
Authors: Gidage Mithilesh , Bhide Shilpa 
Published: January 2025

Purpose
This study investigates the impact of intellectual capital (IC) and green innovation (GI) on the financial performance (FP) of micro, small and medium enterprises (MSMEs) within creative industry in India. It also explores the mediating role of sustainability in these relationships, aiming to provide insights into how these factors contribute to business success and long-term sustainability within the creative sector.

Design/methodology/approach
The research uses a quantitative methodology, analyzing data collected from creative MSMEs in India. Structural equation modeling (SEM) is used to test the hypotheses. Data was gathered through a structured questionnaire, ensuring a comprehensive analysis of the relationships among the constructs.

Findings
The study reveals significant positive relationships between IC, GI, sustainability and FP in small and midsize creative businesses. IC and GI positively influence FP, with sustainability acting as a mediating factor. These findings illustrate that integrating sustainability into business strategies can amplify the benefits derived from IC and GI.

Originality/value
This study advances the understanding of FP in creative MSMEs by examining the impact of IC and GI through the lens of sustainability. It introduces a framework that demonstrates how strategic resources and sustainable practices can be leveraged to achieve significant business outcomes. By providing insights into how sustainability initiatives enhance operational efficiency and profitability, this research offers a transformative approach to integrating sustainability into business strategy. The findings contribute to a generalizable model applicable across various sectors and regions, enriching the discourse on sustainable business practices.
The effect of SMEs’ digital supply chain capabilities on supply chain financing performance: an information processing theory perspective
Authors: Lu Qiang , Cui Shiyu , Jiang Yu , Wang Yu 
Published: January 2025

PurposeThis study aims to explore the impact of digital supply chain capability (DSCC) on the supply chain financing performance (SCFP) of Chinese small and medium-sized enterprises (SMEs). The mediating role of information sharing (IS) and the moderating role of environmental uncertainty (EU) were also investigated.Design/methodology/approachBased on information processing theory (IPT), this paper constructs a theoretical model to investigate the impact of DSCC on SCFP in 276 Chinese SMEs using ordinary least regression to test hypotheses.FindingsThe results show that both digital supply chain sensing capability (DSC) and digital supply chain responding capability (DRC) have positive effects on SCFP. IS plays a mediating role in the relationship between DSC and SCFP, while the EU strengthens the relationship between DRC and IS.Originality/valueFirst, this study takes a capability perspective to explore the impact of DSCC on SCFP, which extends the related studies taking a technology perspective. Second, the inner mechanism between DSCC and SCFP is revealed by introducing IS as a mediator. Third, boundary conditions for the DSCC–IS link are clarified by considering EU as a source of information processing requirements.
A multi-objective robust optimization model with defective vaccine and reverse supply chain under uncertainty
Authors: Bouchenine Abderrahmen , Almaraj Ismail 
Published: January 2025

Purpose
This study introduces a multi-vaccine multi-echelon supply chain (MVMS) framework designed to ensure sustainable vaccine distribution during outbreaks. The framework aims to minimize the total costs of vaccine distribution and reduce greenhouse gas (GHG) emissions to mitigate environmental impacts while maximizing job opportunities within the network.

Design/methodology/approach
Our proposed appraoch employs a multi-objective mixed-integer linear programming model.

Findings
The findings indicate that incorporating uncertainties related to demand and inspection errors significantly facilitates timely responses to unexpected shortages, fulfills the requirements of healthcare facilities, and enhances the supply chain’s resilience against future uncertainties. This study also explores managerial implications and suggests avenues for future research to further advance this field.

Originality/value
Existing literature on MVMS often relies on simplifying assumptions of perfect vaccines and primarily focuses on demand uncertainty. However, real-world supply chains are typically marked by imperfections, disruptions, and a variety of uncertainties beyond demand. In this work, we address several sources of parameter uncertainty, including demand variability, inspection errors, vaccine waste, and defective treatments rates to enhance the robustness of our model.
Assessing the value of artificial intelligence (AI) in governmental public procurement
Authors: Andersson Per Erik , Arbin Katarina , Rosenqvist Christopher 
Published: January 2025

Purpose
The main purpose of this study is to enhance knowledge regarding the early stages of planning for and adopting artificial intelligence (AI) in governmental public procurement. While there are numerous studies on AI and procurement in private companies, there is limited information on AI and public procurement.

Design/methodology/approach
The empirical data consists of information obtained from 18 semi-structured interviews with procurement managers and individuals involved in the development of procurement at governmental agencies. Additionally, a workshop was conducted with the respondents to discuss and validate the study’s findings.

Findings
Findings indicate a generally low level of AI maturity in previous research and within the investigated governmental agencies. The perceived benefits of AI primarily revolve around improved operational capabilities, potential for certain process efficiencies and the ability to enhance monitoring through AI. Various challenges related to organizational, process, technological and data management were highlighted. Findings also indicate that perceived benefits and value created by AI can be viewed from a short-term perspective to a long-term perspective.

Social implications
The study provides insights into societal values that can be achieved using AI in public procurement.

Originality/value
This study provides a new perspective on AI in public procurement by focusing on governmental agencies. It explores the perceived benefits, interests and challenges associated with AI implementation in public procurement. Furthermore, this study discusses the potential outcomes of incorporating AI in public procurement and the impact it may have on the values created by the public service, both short- and long term.
Offshore property investment and market performance of South African REITs: a regime-switching CAPM analysis
Authors: Akinsomi Omokolade , Ametefe Frank Kwakutse , Moja Mabuse , Asami Yasushi 
Published: January 2025

PurposeThe purpose of this study is to determine whether South African real estate investment trusts (REITs) with significant foreign real estate holdings produce better market performance metrics when compared to REITs with larger domestic holdings. The paper also provides a comprehensive overview of the market performance of South African REITs in the decade following the inception of the REIT regime in 2013.Design/methodology/approachThe authors employ the capital asset pricing model (CAPM), using different estimation techniques to determine the stability of the estimated parameters over time. In addition to the CAPM framework, several basic and advanced portfolio performance metrics are computed to assess the performance of the various REIT portfolios.FindingsThe results show that REITs with significant offshore allocations produce superior market returns than their counterparts. Across most of the risk measures analysed, the foreign-biased REIT portfolios were found to be riskier. On the whole, foreign-biased REITs performed better on a risk-adjusted basis. The results were consistent across the different sample periods and the performance metrics analysed.Practical implicationsThe results suggest that the decision to diversify internationally has implications for the pricing of REITs on stock markets. The differences in the performance metrics for the foreign- and home-biased REIT portfolios also imply an opportunity for investors to further diversify REIT portfolios by holding a mix of home-biased and foreign-biased REITs.Originality/valueThis paper is one of the few to consider the implications of international diversification on stock market performance rather than on more fundamental measures of REIT performance such as the net present value. This study also provides an emerging market (African) perspective to the literature.
Concept drift and trace clustering: insights for managers from mining
Authors: Ghourchian Nikoo , Akhondzadeh Noughabi Elham 
Published: January 2025

PurposeProcess mining helps organizations improve their business processes in today’s data-rich environment. However, these processes can change over time due to factors like policy shifts or process trends, impacting model performance. This study examines process behavior in event logs and uses machine learning to detect concept drift.Design/methodology/approachThe trace clustering and change mining techniques have been implemented on two processes, namely loan payment and temporary identity creation, to detect drifts. We use the bag-of-activities and edit distance methods, along with K-Mode and agglomerative hierarchical clustering techniques.FindingsThis study makes two important findings: trace clustering is a popular choice for detecting drifts, and the bag-of-activities method using K-Mode clustering and hamming distance proved highly effective at spotting drifts in various event logs. It also identifies different types of drifts occurring simultaneously in the processes.Practical implicationsThe drifts discovered in different processes provide a real-world example of concept drift in the domains of loans and university administrations. This contributes to improving operational efficiency and overall organizational performance based on these detected drifts and assists in enhancing the process design.Originality/valueThis study is the first to employ a hybrid method of trace clustering and change mining to detect process changes. It is also the first to simultaneously detect sudden and recurring drift in the field of trace clustering in process mining. Furthermore, it stands out for investigating and comparing the performance of multiple clustering methods, in contrast to prior research that used a single technique. Additionally, it is pioneering in applying machine learning methods to detect drift in the domain of loan processes.
Go for green life: linking green dynamic capabilities and ethical leadership with green competitive advantage through green marketing strategy
Authors: Alhemimah Arej , Ali Murad , Badghish Saeed , Latan Hengky , Chiappetta Jabbour Charbel Jose 
Published: January 2025

PurposeThis study examines how green dynamic capabilities (GDC) and ethical leadership (EL) influence a firm’s green sustained competitive advantage (GSCA) by focusing on the mediating role of green marketing strategy (GMS) within the natural resource-based view (NRBV) from the perspective of dynamic capabilities.Design/methodology/approachThe conceptual model is tested using multi-source and three-wave time-lagged data from 213 managers and their subordinates in the Saudi Arabian hospitality and tourism industry.FindingsThe empirical findings confirm that GDC and EL have a positive and statistically significant impact on GMS and GSCA. In addition, the results suggest that GMS partially mediates the links between GDC and GSCA as well as between EL and GSCA.Originality/valueThis is an original study that examines GDC, EL, GMS and GSCA in a single model. This study demonstrates how GDC and EL lead to high levels of GSCA through the mediation of GMS.