bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing factors influencing intentions to use cryptocurrency payments in the hospitality sector
Authors: Pillai Rajasshrie , Preet Raman , Sivathanu Brijesh , Rana Nripendra P. 
Published: August 2024

Purpose The emergence of cryptocurrency has developed a new payment system that is changing how financial transactions happen in hospitality. Consumers/travelers have started experimenting with cryptocurrency payments in hotels and restaurants. However, extant research is lacking in understanding the consumer adoption intention of cryptocurrency payments. This study investigates the intention to use cryptocurrency payments in the hospitality industry.Design/methodology/approach The conceptual model in this study is based on the Behavioral Reasoning Theory, and it explores the motivating and deterring factors influencing the adoption of cryptocurrency payments in the hospitality industry. A quantitative survey was conducted among 1,080 consumers to examine and confirm the model, with data being analyzed through the Partial Least Squares Structural Equation Modeling (PLS-SEM) method.FindingsThe outcome of this work showed that the “reasons for” positively influence and “reasons against” negatively influence consumers’ attitudes and use intentions. Consumers’ values of openness to change positively influence the “reasons for” and do not influence the “reasons against” and attitude toward the use of cryptocurrency payments.Practical implicationsThis work contributes to practice by providing insights to customers (users/payee), hospitality managers (investors) and organizations/firms (receiving crypto payments) as well as to financial firms and the government.Originality/value This research contributes to cryptocurrency payment adoption and behavioral finance literature. The research uniquely provides the adoption and inhibiting factors for cryptocurrency payment in an integrated framework in the hospitality sector.
Do trade and foreign direct investment contribute to growth? A study of BIMSTEC nations
Authors: Arya Vandana , Verma Ravinder , Saini Vijender Pal 
Published: August 2024

PurposeThe study examines the association between trade (exports and imports), foreign direct investment (FDI) and economic growth in the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) countries using data from 1991 to 2019.Design/methodology/approachAugmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests were applied to check the stationary of the data while the Johansen cointegration test and Vector Error Correction Model (VECM) was used to analyze long-run and short-run relationships.FindingsThe results indicate a long-run relationship between trade, FDI and economic growth in all selected countries except Bhutan. Additionally, a bidirectional causality exists between gross domestic product (GDP) and FDI in India, Bangladesh, Myanmar, Nepal, Bhutan and Sri Lanka, while unidirectional causality from GDP to FDI is observed in Thailand. Moreover, a one-way causality from exports to GDP exists in Bangladesh, Nepal, Bhutan, Sri Lanka and Myanmar, whereas a bidirectional relationship exists in India and Thailand.Practical implicationsThis paper will be highly beneficial for regulators and policymakers in the designated economies, aiding in the formulation of FDI and trade policies that promote economic progress and development.Originality/valueMost previous studies examining the relationship between macroeconomic variables have focused on developed nations. This study is the first to explore the relationship between trade (exports and imports), FDI and economic growth in the BIMSTEC countries.
In smartness we trust: consumer experience, smart device personalization and privacy balance
Authors: Chan-Olmsted Sylvia , Chen Huan , Kim Hyehyun Julia 
Published: August 2024

Purpose
Drawing on the personalization–privacy paradox and guided by means–end analysis, this study explores how consumers balance their concerns for privacy and the benefits of smart home device personalization and the role that trust plays in the process. More specifically, this study aims to investigate how perceptions of smart device personalization and privacy concerns are shaped by consumers’ experiences and the role of trust in the deliberation process.

Design/methodology/approach
In-depth interviews were conducted across diverse demographic groups of smart device users to shed light on the balancing act between personalization and privacy.

Findings
The study found that product experience, ownership type, perceived value of convenience and control and quality of life via “smart things” are key motivators for product usage. The benefits of tailored recommendations and high relevance are balanced against the risks of echo chamber effects and loss of control. The results also show the role of active involvement in the privacy calculus and trust level. The study points to the significance of an ecosystem-based service/business model in gaining consumer confidence when they balance between personalization and privacy.

Originality/value
Although many studies have explored trust, privacy concerns and personalization in an artificial intelligence (AI)-related context, few have addressed trust in the context of both smart devices and the personalization–privacy paradox. As such, this study adds to the existing literature by incorporating the concept of trust and addressing both privacy concerns and personalization in the AI context.
Reconstructive psychological assessment (RPA) applied to the analysis of digital behavioral residues in forensic contexts
Authors: Ceballos-Espinoza Francisco 
Published: August 2024

Purpose
This paper aims to explore advances in indirect personality assessment, with emphasis on the psychology of digital behavior based on the analysis of new technological devices and platforms for interpersonal relationships, identifying – along the way – those findings that may be useful to carry out a reconstructive psychological assessment (RPA) of applicability in the legal context.

Design/methodology/approach
Different fields of knowledge are explored, transferring the findings to the field of psychology of digital behavior, analyzing the publications that report findings on the analysis of new technological devices and platforms for interpersonal relationships and identifying – along the way – those findings that may result useful to carry out an RPA of applicability in the legal context.

Findings
The application of RPA represents a significant advance in the integration of criminal psychology and forensic technology in legal contexts, opening new fields of action for forensic psychology.

Originality/value
The article has transferred advances in computer science to the field of forensic psychology, with emphasis on the relevance of RPA (from the analysis of digital behavioral residues) in the interpretation of behavioral evidence for the indirect evaluation of the personality and within the judicial context (when the victim and/or accused are not included).
How does paradoxical leadership affect employee adaptive performance? A moderated mediation model
Authors: Tan Le , Hao Po , Gao Hanyu , Wojtczuk-Turek Agnieszka 
Published: August 2024

PurposeDrawing on the paradox perspective and the Job Demands-Resources Model (JD-R), we investigate how paradoxical leadership behavior (PLB) affects employee adaptive performance.Design/methodology/approachConducted a multi-wave field study with a sample of 64 leaders and 224 subordinates (study 1), and a quasi-experiment involving 156 participants (study 2). The collected data were analyzed using ANOVA and HLM techniques.FindingsBoth studies reveal that (1) PLB exhibits a positive association with employee adaptive performance, (2) employee paradox mindset and role stress partly mediated the relationship between PLB and employee adaptive performance, (3) the indirect effects of PLB on employee adaptive performance through employee paradox mindset and role stress are moderated by employee gender-role identity (GRI).Originality/valueThis research developed a moderated mediation model to examine the potential impact of PLB on employee adaptive performance, which contributes to the literature by integrating the paradox perspective and emphasizing the effectiveness of combining “top-down” and “bottom-up” leadership approaches. Moreover, we elucidate the underlying mechanisms through which PLB facilitates employees in effectively managing work role tensions to enhance adaptive performance Finally, this study also extends the investigation of the contextual efficacy of PLB by incorporating GRI as a moderator.
Analysing the role of modern information technologies in HRM: management perspective and future agenda
Authors: Roul Jayashree , Mohapatra Lalita Mohan , Pradhan Ashok Kumar , Kamesh A.V.S. 
Published: August 2024

PurposeThe objective of this study is to analyse the integration of technology in Human Resources Management (HRM) with a special focus on Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) and Big Data.Design/methodology/approachThis study aims to contribute to the understanding of these trends by conducting a thorough bibliometric analysis using the Scopus database, encompassing research on HRM and Technology from 1991 to 2022. By employing citation analysis, co-citation analysis and co-word analysis, the study uncovers key patterns and trends in the field.FindingsThe findings indicate that AI, Big Data and ML are the focal points of research when exploring the intersection of Technology and HRM. These technologies offer promising prospects for enhancing Human Resource processes, such as Talent Acquisition, Performance Management and Employee Engagement.Research limitations/implicationsIn our study, we showcase the practical implications that offer guidance for HR researchers and professionals, enabling them to make informed decisions regarding the adoption and implementation of Information Technology.Practical implicationsThis research can provide valuable insights to HR managers on the use of cutting-edge technology in HRM. It aims to enhance the manager’s awareness of how technology-enabled HRM can improve HR performance.Originality/valueThis study adds to the existing body of knowledge on how Modern Technology empowers HRM. It also proposes a conceptual framework for the use of Modern Technology along with Strategic Management and Knowledge Management to improve Human Resource Performance.
Reliability analysis of various modeling techniques for the prediction of axial strain of FRP-confined concrete
Authors: Elhag Ahmed Babeker , Raza Ali , Kahla Nabil Ben , Arshad Muhammed 
Published: August 2024

PurposeThe external confinement provided by the fiber-reinforced polymer (FRP) sheets leads to an improvement in the axial compressive strength (CS) and strain of reinforced concrete structural members. Many studies have proposed analytical models to predict the axial CS of concrete structural members, but the predictions for the axial compressive strain still need more investigation because the previous strain models are not accurate enough. Moreover, the previous strain models were proposed using small and noisy databases using simple modeling techniques. Therefore, a rigorous approach is needed to propose a more accurate strain model and compare its predictions with the previous models.Design/methodology/approachThe present work has endeavored to propose strain models for FRP-confined concrete members using three different techniques: analytical modeling, artificial neural network (ANN) modeling and finite element analysis (FEA) modeling based on a large database consisting of 570 sample points.FindingsThe assessment of the previous models using some statistical parameters revealed that the estimates of the newly recommended models were more accurate than the previous models. The estimates of the new models were validated using the experimental outcomes of compressive members confined with carbon-fiber-reinforced polymer (CFRP) wraps. The nonlinear FEA of the tested samples was performed using ABAQUS, and its estimates were equated with the calculations of the analytical and ANN models. The relative investigation of the estimates solidly substantiates the accuracy and applicability of the recommended analytical, ANN and FEA models for predicting the axial strain of CFRP-confined concrete compression members.Originality/valueThe research introduces innovative methods for understanding FRP confinement in concrete, presenting new models to estimate axial compressive strains. Utilizing a database of 570 experimental samples, the study employs ANNs and regression analysis to develop these models. Existing models for FRP-confined concrete's axial strains are also assessed using this database. Validation involves testing 18 cylindrical specimens confined with CFRP wraps and FE simulations using a concrete-damaged plastic (CDP) model. A comprehensive comparative analysis compares experimental results with estimates from ANNs, analytical and finite element models (FEMs), offering valuable insights and predictive tools for FRP confinement in concrete.
Anatomy of herd behavior in Ponzi schemes within the scope of marketing mix
Authors: Baltacı Alişan , Vural Aslı 
Published: August 2024

Purpose
This study aims to empirically reveal how marketing mix elements are used in Ponzi schemes to trigger herd behavior. Thus, it was aimed to determine how Ponzi schemes use marketing tools to approach and persuade victims. Clarifying this issue is vital in identifying critical points in diagnosing and detecting Ponzi schemes and in de-marketing practices to be used against them.

Design/methodology/approach
In this study, content analysis was used to analyze in-text expressions most practically. The population of this study is the Ponzi scheme cases that took place in Turkey between January 1, 2016, and May 31, 2023, which appeared in the press. The study sample consists of 44 cases accessible in terms of parameters, including the research subject in the research population.

Findings
In order to reach the widest audiences, Ponzi schemes have generally emerged in metropolitan cities that produce a significant portion of the country's gross national product. The minimum fee to enter these systems is usually between 40 and 50 USD. Although Ponzi Schemes appear to be a financial product, the product they claim to make money is usually intangible and complex. Furthermore, the system's return rate is always higher than the market rate. It is seen that other people influence people in their social and professional environments. Promotion in Ponzi schemes is carried out by word of mouth, social media, direct persuasion, introductory meetings and individual communication. When the herd behavior patterns in Ponzi are examined, it is seen that most of them are “Heuristic Simplification” and “Social Interaction.” As a result, it has been understood that marketing mix elements are used consciously and actively to trigger herd behavior in Ponzi schemes.

Research limitations/implications
The most important limitation of the study is that the data compiled about the cases are not standardized, and the newspaper reports did not provide some details at a sufficient level.

Originality/value
Using a qualitative method and an evidence-based interdisciplinary approach, this study reveals how marketing mix elements are used in Ponzi schemes, a type of financial fraud. In addition, the research is original in that no other study with similar content and scope was found in the literature.
Variation of root functional traits indicates flexible below‐ground economic strategies of the riparian tree species Populus fremontii
Authors: Schaefer Elena A. , Gehring Catherine A. , Phillips Richard P. , Gadrat Emma , Karst Justine 
Published: August 2024

Abstract

Plant‐mycorrhizal type has been suggested as an integrator of plant functional traits, yet most of what is known about these relationships comes from studies of different plant taxa, where the effects of mycorrhizal type cannot be isolated. In addition to affecting carbon‐nutrient exchanges, plants that associate with distinct mycorrhizal types often differ in several traits, with consequences for myriad below‐ground processes.

We used two common gardens planted with Populus fremontii, a tree species that can simultaneously associate with both arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi, to examine the degree to which mycorrhizal‐type dominance influences root traits and trait relationships across the root economic space.

While P. fremontii formed AM and ECM associations simultaneously, individuals displayed a dominant mycorrhizal type driven primarily by garden location. Trees in the low‐elevation garden, regardless of provenance, were colonized primarily by AM fungi, whereas trees in the high‐elevation garden were colonized primarily by ECM fungi. In root systems at the low‐elevation garden, AM colonization rates were negatively related to specific root length indicating trade‐off with investment in foraging roots. In contrast, root systems at the high‐elevation garden, ECM colonization was negatively related to root tissue density, demonstrating a potential trade‐off between resource acquisition and root growth/defence. All other root economic traits remained similar between mycorrhizal types.

While root traits varied little between AM‐ and ECM‐dominated trees (and gardens), their relationships with one another differed in each garden, suggesting unique strategies and trait trade‐offs in a single species. As global change continues to alter environments, species like P. fremontii, which experience a range of abiotic conditions, could signal how other tree species might modify root traits and strategies in response.

Read the free Plain Language Summary for this article on the Journal blog.
Connected Directors–Advisors and Mergers and Acquisitions Outcomes
Authors: Barbopoulos Leonidas G. , Dong Yizhe , Li Haoyu , Li Chang 
Published: August 2024

AbstractWe examine the impact of social ties between directors (directors or senior managers) of acquiring firms and their corresponding advisors on several mergers and acquisitions outcomes. The social ties between acquirers’ directors and their advisors are positively related to acquirers’ gains in the short and long run. This is due to lower takeover premia, lower advisory fees and shorter period to deal completion. This relation is more pronounced in deals involving inexperienced acquirers, targets in more opaque industries and targets recommended by advisors. We also find that acquirers are more likely to withdraw from deals with high premia if they hire a socially connected advisor. Identification is addressed by using instrumental variables, excluding deals that are prone to endogeneity and using the propensity score matching and the entropy balancing methods.
Safety first, but how? Examining the impact of safety leadership in frontline healthcare workers' safety performance during health crisis
Authors: Arboh Francisca , Dai Baozhen , Quansah Prince Ewudzie , Atingabilli Samuel , Drokow Emmanuel Kwateng , Addai‐Dansoh Stephen 
Published: August 2024

AbstractWith the high rates of health workers' mortality and morbidity during health crises such as the COVID‐19 pandemic, this study examined how safety leadership style could improve health workers safety performance with a mediating role of safety consciousness (SCC), and a moderating role of communication transparency (CT). Survey data from 582 health workers in Ghana's Greater Accra and Ashanti regions were gathered and analysed using structural equation modelling in SMART PLS 4. The findings show that safety leadership positively impacts safety performance. Additionally, safety leadership had a positive impact on affected consciousness. Again, SCC had a positive effect on performance. Furthermore, SCC mediated the positive relationship between safety leadership and safety performance. Finally, the SCC‐safety compliance was negatively moderated by CT, though it did not moderate the SCC‐safety participation relationship. This paper holds significance as it offers strategies to enhance the safety performance of frontline healthcare workers during health emergencies such as pandemics. The measures provided in the study potentially mitigate the risks of virus contraction and health workers during health emergencies.
Environmental technology and firm performance: The role of digital financial inclusion, information and communication technology, and education
Authors: Pang Fei , Ozturk Ilhan , Sohail Sidra 
Published: August 2024

AbstractThis research aims to determine how environmental technology (ET), digital financial inclusion (DFI), information and communication technology (ICT), and education affect a firm's performance in China from 1998 to 2020. We have employed the quantile autoregressive distributed lag model to estimate the variables' short‐ and long‐term relationship across various quantiles. In the context of non‐state‐owned enterprises (NSOE), the estimates of ET are positively significant in almost half of the quantiles in the long run, while in the short run, the estimates are insignificant. In the NSOE model, the DFI estimates are significant and positive at the highest quantiles only in the long run and almost at all quantiles in the short run. Likewise, the estimates of ET are positively significant in half quantiles in the long run and insignificant in the short run in terms of state‐owned enterprises (SOE). In the SOE model, the DFI estimates are significant and positive at the highest quantiles only in the long run and at medium and highest quantiles in the short run. ICT and educational development have a favorable impact on a firm's performance across all quantiles in the long run in SOE and NSOE models. However, in the short run, these variables have a favorable impact only at higher quantiles in SOE and NSOE. These findings imply that more ET, DFI, ICT, and education are crucial for improving the performance of state‐owned and non‐state‐owned firms.