bluuebunny/crossref_metadata_2025_split huggingface dataset:
Customer experience in digital transformation: the influence of intelligent chatbots toward a sustainable market
Authors: Gomes Sofia , Lopes João M. , Trancoso Tiago 
Published: January 2025

Purpose
Using artificial intelligence technologies in customer service through chatbots is revolutionizing companies’ commercial practices and business models. This study explores the role of customer experience drivers in using chatbot services in customer engagement and customer behavior intention. The mediating role of customer engagement in the relationship between the customer experience drivers of using chatbots and the customer behavior intention was also explored.

Design/methodology/approach
For this purpose, a sample of 1,319 Portuguese consumers using chatbots in their online purchases was collected. A quantitative methodology was applied with the partial least squares method.

Findings
The results reveal that the customer experience drivers of using the chatbot service directly and positively influence customer engagement but not customer behavior intention. However, there is a positive influence of customer experience drivers on customer behavior intention when mediated by customer engagement.

Originality/value
This study contributes to developing social exchange and resource exchange theories in customer experience. In addition, it allows companies to infer practical implications for obtaining sustainable competitive advantages through implementing chatbot technology.
Unveiling the trajectory of International Journal of Lean Six Sigma: a comprehensive bibliometric review
Authors: Singh Bikram Jit 
Published: January 2025

Purpose
This paper aims to conduct an inclusive bibliometric review of the International Journal of Lean Six Sigma (IJLSS) to elucidate the scholarly landscape, growth trends, impact, mappings, couplings, networking and thematic evolution within the field of Lean Six Sigma (LSS) research.

Design/methodology/approach
Using advanced bibliometric techniques, including network analysis and clustering, this study examines the publication output of IJLSS since its inception in 2010. The analysis focuses on identifying key contributors, mapping collaborative networks, tracing thematic evolution and exploring emerging research trends. The study is executed as per the proposed easy-to-understand methodology, containing well-structured nine segments hitting various critical-bibliometrics of IJLSS along with their respective implications.

Findings
The review reveals substantial growth in the publication output of IJLSS, with India emerging as a prominent contributor. Keywords such as “Lean”, “Six Sigma”, “Quality Management”, “Operational Excellence”, “Supply Chain Management”, “Industry 4.0” and “Sustainability” emerge as central themes, reflecting the journal’s focus on process improvement methodologies along with corresponding case studies. Collaborative networks among authors and countries are robust, indicating the global reach of LSS scholarship. Emerging research trends highlight areas of potential future exploration within the field.

Research limitations/implications
Limitations of this study include the reliance on bibliometric data and the exclusion of nonindexed sources. However, the findings offer valuable insights into the scholarly landscape of IJLSS, providing researchers and practitioners with a comprehensive overview of LSS research inclinations and developments.

Originality/value
This paper contributes to the literature by providing a detailed analysis of LSS research published in IJLSS through a unique approach and future directions. The study adds to existing knowledge by mapping collaborative networks, tracing thematic couplings and identifying emerging research clusters within the ever evolving domain of LSS.
Unpacking the effects of moral intensity and cultural values on ethical decision-making
Authors: Bekoe Rita Amoah , Owusu Godfred Mathew Yaw , Korankye Gabriel , Agyekum Donkor Josephine Baaba 
Published: January 2025

Purpose
Ethical decisions are generally based on the intensity of the moral issue at stake. While moral intensity has been studied variously, little is known about the link between individual cultural orientations and the importance attached to the characteristics of a moral issue. The purpose of this study is to examine the effect of moral intensity on ethical judgement while evaluating the relationship between an individual’s cultural orientation and moral intensity.

Design/methodology/approach
Data was gathered from 308 tertiary students at a large public university in Ghana by means of self-administered questionnaires. The partial least square-structural equation modelling technique was used to test for the hypothesised relationships in this study.

Findings
The analysis reveals that moral intensity significantly predicts the ethical judgement of individuals. Further, the authors find a significant positive relationship between indulgence, self-restraint, power distance, uncertainty avoidance and masculinity-femininity and moral intensity.

Practical implications
Knowledge on the implications of cultural orientations on moral issues provides educators and trainers the basis for designing and implementing strategies that can help improve the ethical judgement of individuals.

Originality/value
The study introduces a new perspective to the moral intensity literature by highlighting the unique role of individuals’ cultural orientation in ethical decision-making.
The forced sterilisation of Indigenous and racialised Peoples: Origins, nature of abuses, impacts and responses
Authors: Rowlands Sam , Heaslip Vanessa , Felske-Durksen Cassandra , Carranza Ko Ñusta , Albert Gwendolyn , Rich Rebecca , Black Kristin A. , Szilvási Marek 
Published: January 2025

Purpose
This paper aims to draw attention to the global infringement of reproductive rights of Indigenous and racialised Peoples.

Design/methodology/approach
Narrative literature review. Description and comparative analysis of examples of forced sterilisation.

Findings
Large-scale sterilisation campaigns were identified in three different regions of the world: North America, Latin America and Europe. Within these, hundreds of thousands of Indigenous and racialised Peoples have been forcibly sterilised as part of state-sponsored procedures, predominantly aimed at women and gestating people. These abuses are continuing in the 21st century and have origins in “racial science” theory. The exact nature of the abuses is identified alongside the long-term health and wellbeing implications. Professional attitudes and behaviours that condoned such practices within healthcare settings are identified. The psychological, social and cultural impact of such practices, including on Indigenous body sovereignty and self-determination, are demonstrated.

Practical implications
These are twofold: firstly to eradicate any future practice of forced sterilisation and secondly to provide reparations to those affected.

Originality/value
The analysis brings together scholarship from Indigenous studies alongside that of health and social sciences.
Quantum technologies in robotics: a preliminary appraisal
Authors: Bogue Rob 
Published: January 2025

Purpose
The purpose of this paper is to provide details of developments in quantum technologies and consider their potential applications in robotics.

Design/methodology/approach
Following a short introduction, this study first provides an overview of the global quantum technology landscape. It then discusses developments in quantum computing and sensing technologies. Potential applications in robotics are then considered and finally, brief conclusions are drawn.

Findings
Quantum technologies are the topic of a rapidly growing global R&D effort. Quantum computing has the potential to conduct conventional computations far more rapidly than traditional computers and solve complex problems that are presently challenging or impossible. If realised, robotic applications could include enhanced route planning, machine learning and data fusion. Quantum position and magnetic field sensors have the potential to revolutionise navigation systems in airborne, land and marine robots and overcome limitations of GPS and inertial measurement units. Magnetic sensors also have a role in health care in the control of robotic prostheses and exoskeletons and in brain–computer interface techniques. Quantum radar, lidar and imaging systems stand to outperform their conventional counterparts, and applications are anticipated in military and civilian robots. Quantum technologies are still at an early stage of development, and much progress will be made in the future, opening up many further robotic applications.

Originality/value
This study provides an insight into quantum technology developments and their potential applications in robotics.
ESG performance, board diversity and tax avoidance: empirical evidence from the UK
Authors: Elgharbawy Adel , Aladwey Laila Mohamed Alshawadfy 
Published: January 2025

Purpose
This paper aims to investigate the effect of ESG performance and board diversity on tax avoidance practices of FTSE350 companies before and after the COVID-19 pandemic from the stakeholder theory perspective.

Design/methodology/approach
Using random-effect regression analysis on data from 2017 to 2023, the study analyzes ESG scores and various tax avoidance measures pre- and post-COVID-19. A two-stage least squares regression analysis using instrumental variables is used to address endogeneity.

Findings
Results show that gender, age and network diversity reduce tax avoidance, while skill diversity has no effect, and nationality diversity increases it. High ESG scores lower tax avoidance, but higher governance scores increase it. Findings hold across different tax avoidance measures, sectors and pre/post-COVID-19 periods.

Research limitations/implications
Future research should explore the roles of board committees and external governance mechanisms and investigate tax avoidance in small- and medium-sized enterprises.

Practical implications
The findings highlight the need for policymakers to enforce board diversity and promote ESG practices to encourage ethical tax behavior. Companies can reduce tax avoidance and enhance moral standards by prioritizing stakeholder interests.

Social implications
Promoting board diversity enhances social equity, supports ESG practices, aligns corporate actions with societal values and fosters a sustainable business environment.

Originality/value
The paper expands existing research by analyzing the combined effects of board diversity and ESG performance on tax avoidance. It offers recent UK evidence on tax avoidance determinants, emphasizing behavioral changes pre- and post-COVID-19.
Harnessing STARA for enhancing green performance of hospitality industry: green HRM, employees commitment as mediators and psychological climate as moderator
Authors: Hossain Mohammad Imtiaz , Islam Md. Tariqul , Kumar Jeetesh , Jamadar Yasmin 
Published: January 2025

PurposeThis study investigates the impact of smart technology, artificial intelligence, robotics and algorithms (STARA) on green performance (GP) in hospitality organisations, the mediating role of green human resource management (GHRM), employees’ green commitment (EGC), and the moderating role of green psychological climate (GPC) in the hospitality industry landscape of Malaysia.Design/methodology/approachThe study uses a quantitative survey-based, cross-sectional approach. PLS-SEM has been applied to analyse the direct and indirect relationships. Using the non-probability sampling method, a purposive sampling technique was used to collect 240 data points from top- and mid-level managers of five-star hotels in Malaysia.FindingsThis study identified that STARA positively influences green HRM and EGC, impacting green performance. However, STARA does not positively impact GP. Moreover, the study identified a significant mediation effect of EGC and GHRM practices between STARA and GP and a moderation effect of GPC between green HRM and EGC.Practical implicationsThe study can provide valuable insights for the government and policymakers to update their policies for sustainable development using high-end technologies. It will also help the relevant stakeholders and think tanks assess the current status and commitment to several sustainable goals.Originality/valueBy integrating the dynamic capability theory (DCT) and the social cognitive theory (SCT), this study proposed a new framework incorporating STARA capabilities with GHRM, GPC and EGC, which is novel in the body of understanding. It provides novel moderated-mediation evidence and bolsters existing insights.
Undoing greenwashing: the roles of greenwashing severity, consumer forgiveness, growth beliefs and apology sincerity
Authors: Paramitha Vina , Tan Ser Zian , Lim Weng Marc 
Published: January 2025

Purpose
Amidst growing concerns about environmental sustainability, brands face the challenge of upholding authenticity in their green marketing efforts. While existing research primarily focuses on understanding and preventing greenwashing, there is a critical need to explore its consequences and mitigation strategies. This study aims to investigate the effects of greenwashing across varying levels of severity on consumer forgiveness and brand attitude, with growth beliefs and apology sincerity serving as moderators.

Design/methodology/approach
This study conducted a between-subjects online experiment in two phases: Phase 1 examined the effects of greenwashing severity on brand attitude, mediated by consumer forgiveness and moderated by their growth beliefs, whereas Phase 2 tested the moderating role of apology sincerity.

Findings
This study identifies different types of greenwashing and reveals that higher perceived severity of active greenwashing worsens brand attitude through reduced consumer forgiveness. However, consumers with stronger growth beliefs show greater forgiveness, moderating the negative impact of greenwashing severity. Crucially, a sincere apology effectively mitigates the detrimental effects of greenwashing severity on brand attitude.

Research limitations/implications
This study offers actionable insights for brand managers, highlighting that fostering growth beliefs and offering sincere apologies can mitigate the negative impacts of greenwashing.

Originality/value
This study advances the greenwashing literature by highlighting the negative consequences of greenwashing on consumer forgiveness and brand attitude, and underscoring the role of growth beliefs and apology sincerity as effective mitigation strategies.
A bibliometric review of data factor market: contrasting Chinese and international literature from a governance perspective
Authors: Zhang Xi , Shi Yanwen , Sun Kexin , Wang Qiuren , Zhang Ziyan , Xiao Zhanpeng 
Published: January 2025

Purpose
As the pioneer nation to formally integrate data as a factor of production into its national strategy, does China’s research emphasis on data factor market differ from that of other countries? Currently, there is a notable absence of comprehensive comparative analyses addressing this issue. The purpose of this study is to fill this gap by systematically reviewing the development trajectory of research on the data factor market from a governance perspective.

Design/methodology/approach
In this study, the authors used Citespace software to conduct bibliometric analyses on a corpus of 1,304 international publications and 1,249 Chinese publications. These analyses encompassed various dimensions, including publication quantity and trend analysis, cocitation analysis and keyword cooccurrence analysis, while also facilitating a comparative examination of research disparities between Chinese and international literature.

Findings
There are significant differences between Chinese and international data factor market studies in terms of governance environment, governance entities, governance technology and governance mechanism. The authors strongly advocate the promotion of cross-border research collaboration to advance the research and application of data factor market governance.

Originality/value
The authors have innovatively proposed a framework for data factor market governance. Building upon this framework, the authors conducted a comprehensive comparative analysis of research disparities between Chinese and international literature, thereby unveiling emerging research trends in the field of data factor market.
Competition between global professional service firms and local audit firms in China: a strategic action field perspective
Authors: Mihret Dessalegn Getie , Lu Wei , Ji Xu-Dong 
Published: January 2025

Purpose
This study aims to examine competition between global professional service firms (GPSFs) and Chinese local audit firms (LAFs) over the past four decades, explaining the process and outcomes of this competition in relation to shifting economic policy priorities.

Design/methodology/approach
The authors analysed pertinent documents and media reports through the lens of strategic action field (SAF). The authors interpret the dynamics of the competition against the background of the shifting framing of Chinese economic policies.

Findings
The authors find that frame alignment with the state’s priorities in China enabled GPSFs and LAFs to secure stronger market positions relative to each other in different episodes of the Chinese policy landscape. The Chinese state’s marketisation reforms conditioned the outcome of the competition between GPSFs and LAFs. Initially, GPSFs gained access to the Chinese accounting field and achieved a strong market position by leveraging China’s “open-door” policy. This situation was reversed when China’s economic policy shifted to “going global” because Chinese LAFs pursued internationalisation framing thereby aligning with the state’s priority of internationalising the economy.

Originality/value
Using the lens of SAF, this study offers theorised insights into how transnational competition in the accounting field plays out in a non-Western state setting.
Oak Wilt Disease May Reduce the Initial Decay Rate of Dead Quercus serrata Stems by Altering Fungal Communities in the Wood
Authors: Fukasawa Yu , Kimura Satsuki , Kominami Yuji , Takagi Masahiro , Matsukura Kimiyo , Makoto Kobayashi , Suzuki Satoshi N. , Takemoto Shuhei , Tanaka Nobuaki , Jomura Mayuko , Kadowaki Kohmei , Ushio Masayuki , Kinuura Haruo , Yamashita Satoshi 
Published: January 2025

ABSTRACTOak wilt causes severe dieback of Quercus serrata, a dominant tree species in the lowlands across Japan. This study evaluated the effects of oak wilt on the wood‐inhabiting fungal community and the decay rate of deadwood using a field monitoring experiment. We analysed the fungal metabarcoding community from 1200 wood samples obtained from 120 experimental logs from three forest sites at five different time points during the initial 1.5 years of the experiment. Death due to wilt significantly influenced the fungal community composition and reduced fungal diversity, likely due to the dominance of a limited number of species. The operational taxonomic unit richness, occurrence frequency, and DNA copy number of white rot fungi were also enhanced on the logs killed by wilt, depending on the sites. Structural equation modelling suggested that the wilt‐initiated changes in the fungal community reduced the decay rate of oak logs. Temperature and wood moisture also affected the fungal community and log decomposition. These results suggest that, in addition to the direct effect of climate, oak wilt indirectly affects log decomposition by structuring the fungal community. Continuous monitoring is essential to evaluate the longer‐term effects of oak wilt on the fungal decomposition of wood.
Hourly Asymmetric Multifractality and Dynamic Efficiency in Cryptocurrency Markets: The Effects of COVID‐19 and Russia–Ukraine Tension
Authors: Mensi Walid , Nekhili Ramzi , Vo Xuan Vinh , Kang Sang Hoon 
Published: January 2025

ABSTRACTThis paper examines the hourly downward/upward multifractality and dynamic efficiency of four cryptocurrencies—Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Litecoin (LTC)— before and during the COVID‐19 pandemic, and during the Russia–Ukraine tension. Using the asymmetric multifractal detrended fluctuation analysis method, the results show significant asymmetric multifractality in all series, which intensifies for BTC only throughout the COVID‐19 crisis and narrows for ETH, XRP, and LTC. Moreover, we show that cryptocurrency markets are more inefficient during the upward (downward) trend and before (during) the COVID‐19 crisis. LTC is the least inefficient market pre COVID‐19, whereas XRP is the least inefficient during the pandemic crisis. The results show evidence of excessive asymmetric multifractality for all four crypto markets. Before the COVID‐19 crisis, positive values of excess asymmetry in multifractality have been identified for BTC and LTC markets, whereas the excess asymmetry values were negative for ETH and XRP markets. BTC and ETH markets showed wider multifractality fluctuations compared to LTC and XRP, indicating a stronger reaction to the war's impact.
Linking Resource Richness, Digital Economy, and Clean Energy to Ecological Footprint and Load Capacity Factor in Emerging Markets
Authors: Nathaniel Solomon Prince , Solomon Chikaodili Josephine , Khudoykulov Khurshid , Fakher Hossein Ali 
Published: January 2025

ABSTRACTThe wave of digitalization has spread across all countries in the world, with lasting environmental consequences in the medium and long term. On the flip side, the environmental impact of resource richness, including its exploitation and consumption, has been an age‐long debate among policymakers, particularly in emerging markets. As such, this study examines the effect of natural resources (NR), digital economy, and clean energy consumption on the ecological footprint (EF) and load capacity factor (LCF) in emerging countries from 2000 to 2022. The current study enriches the literature by assessing the impact of different dimensions of the digital economy on both the demand side (EF) and supply side (LCF) of environmental quality. The results from the augment mean group estimator suggest that NR and economic growth increase the EF across all the models. However, all the indicators of the digital economy, except ICT goods exports, alleviate the EF. The same set of variables that reduce the EF also increase the LCF for the selected countries. Renewable energy consumption (REC) has heterogeneous effects on EF and LCF, suggesting that clean energy is not adequately consumed in emerging countries. In addition, the direction of causality flows from NR to EF. A bidirectional causality exists between REC and EF, economic growth and EF, NR and EF, and between REC and LCF. Based on the findings, it is recommended that emerging countries develop more digital technologies, intensify the process of digital promotion, and mobilize the benefits of energy transition for a clean and sustainable environment.