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The purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities (OHCs).

This study utilized an empirical model based on the elaboration likelihood model and examined the effect of information, regarding service quality (the central route) and service price (the peripheral route), using online health consultation data from one of the largest OHCs in China.

The logistic regression results indicated that both physician- and patient-generated information can influence the patients' service choices; service price signals will lead patients to cheaper options. However, individual motivations, disease risk and consulting experience change a patients' information processing regarding central and peripheral cues.

Previous researchers have investigated the mechanism of patient behavior in OHCs; however, the researchers have not focused on the patients' choices regarding the multiple health services provided in OHCs. The findings of this study have theoretical and practical implications for future researchers, OHC designers and physicians.

This paper aims to examine the effect of R&D laboratories on the perceived performance of MNE subsidiaries during recession.

Employing resource-based view and knowledge-based theory, the authors investigate a unique sample of 171 technologically heterogenous foreign MNE subsidiaries located in Greece over the period of recession 2009–2016. The sample subsidiaries operate different types of R&D laboratories.

The authors find that MNE subsidiaries with advanced R&D laboratories such as locally integrated laboratories (LILs) and internationally interdependent laboratories (IILs) perform better in recession than subsidiaries with support laboratories (SLs) or subsidiaries without R&D laboratories. Overall, the authors find an asymmetric performance contribution of R&D laboratories at subsidiary level.

The study provides useful insights into the environmentally derived “knowledge-based - performance” context, so filling an important research gap, since little is known about the performance impact of the input-side of technological activity at MNE subsidiary level, especially as regards R&D facilities/infrastructure. Based on the findings the authors identify important managerial implications.

The current study investigates the impact of directors' attributes on the extent of compliance with International Financial Reporting Standards (IFRS) fair value disclosure requirements. The attributes investigated include directors' human capital (accounting qualification) and social capital (political association), directors' share ownership and the power distance between the chief executive officer (CEO) and the rest of the board members.

The study uses disclosure analysis to measure the extent of compliance with the fair value disclosure requirements of IFRS. Ordinary least squares (OLS) regression is used to test the relationship between the disclosure score and directors' attributes. Data were collected from the annual reports and websites of the sample companies.

Contrary to conventional belief, this study's findings suggest that directors' social capital and the power distance between the CEO and the rest of the board act as more powerful factors than directors' human capital in explaining corporate mandatory disclosure. Specifically, the results indicate that powerful actors form a dominant coalition and co-opt influential constituents from the institutional domain to neutralize the effect of legal coercion and the accounting expertise of board members and Big Four audit firms on the extent of compliance with institutional (fair value) rules.

This study utilizes Oliver's (1991) framework of strategic response to institutional processes in the Bangladeshi context. Although the study provides new insights into corporate disclosure practices, findings are not generalizable due to different institutional settings in different countries. Therefore, future studies could replicate the approach in different institutional settings.

The findings of this study will be of interest to the International Accounting Standards Board (IASB) as it focuses on a developing country that has adopted IFRS 13 and other fair value-related standards relatively recently.

The disclosure analysis contained in this study represents the first comprehensive analysis of the extent of compliance with the fair value disclosure requirements of IFRS. Furthermore, this study considers the impact of directors' social capital and finds that it is a more powerful determinant of the extent of compliance with IFRS as compared to human capital.

This study explores technology trends and challenges in the liner shipping industry through the lens of blockchain technology, addressing gaps in the literature with a comprehensive analysis. By examining blockchain applications in shipping and port contexts, the research fills a significant void, covering trend identification, legal considerations, and implementation challenges. This study extends to examining links between current blockchain projects, revealing trends and challenges in technology applications. The conclusion synthesizes implications and future trajectories of this transformative technology within the broader context of Industry 4.0, positioning this research at the forefront of advancements in maritime technology and supply chain management (SCM).

Purpose: The economies of the European Union (EU) countries are significantly affected by new developments in technology and digital transformations, requiring tailored policies to bridge gaps and boost economic development. This chapter analyses the impact of the digital economy in EU countries according to the level of economic growth.

Need for study: Assessing the interaction between economic growth and digitalisation, focussing on digital transformations, digital skills, and economic growth, this chapter designs advanced theoretical and empirical research by building on certain important research issues.

Methodology: The research framework relies on assessing the correlation between the Digital Economy and Society Index (DESI) and economic growth. Based on Eurostat data, this research employs panel econometric models to uncover causal relationships between digital policies and economic growth, incorporating macroeconomic variables and country-specific digital policies. The models are designed through the panel-corrected standard errors (PCSEs) method and robust regression with Huber iteration (RRHI) to ensure unbiased and robust estimates.

Findings: Main findings include that digitalisation coordinates and digital skills are essential for improving economic development in the EU, with benefits for economic growth. These advances affect balance and overall performance and can support policymakers in strengthening their understanding of this scientific field.

Practical implications: The degree of development and the underlying technology underlying determine how the digital economy affects economic growth. Decision-makers can utilise these results to improve digital policies within the EU, favourably impacting the economic development of EU member states.

Provisions for the minimisation of human error are essential through governance structures such as recruitment, human resource allocation and education/training. As predictors of safety attitudes/behaviours, employees’ personality traits (e.g. conscientiousness, sensation-seeking, agreeableness, etc.) have been examined in relation to human error and safety education.

This review aimed to explore research activity on the safety attitudes of healthcare staff and their relationship with the different types of personalities, compared to other complex and highly regulated industries. A scoping review was conducted on five electronic databases on all industrial/work areas from 2001 to July 2023. A total of 60 studies were included in this review.

Studies were categorised as driving/traffic and industrial to draw useful comparisons between healthcare. Certain employees’ personality traits were matched to positive and negative relationships with safety attitudes/behaviours. Results are proposed to be used as a baseline when conducting further relevant research in healthcare.

Only two studies were identified in the healthcare sector.

The necessity for additional research in healthcare and for comparisons to other complex and highly regulated industries has been established. Safety will be enhanced through healthcare governance through personality-based recruitment, human resource allocation and education/training.

eXplainable artificial intelligence (XAI) is an evaluation framework that allows users to understand artificial intelligence (AI) processes and increases the reliability of AI-produced results. XAI assists managers in making better decisions by providing transparency and interpretability in AI systems. This study explores the development of XAI in business management research.

This study collects and analyzes business management research related to XAI using common management keywords as the basis. We used the success/failure system to explore its research guidelines XAI in business management.

The study found significant growth in XAI research within business management. This research will be discussed from various management disciplinary perspectives to help scholars understand the current research directions. Additionally, we utilize a success/failure system to explore how this theory can be applied to artificial intelligence and business management research.

The success/failure system offers a comprehensive framework encompassing the evolution of the cosmos, nature, and ecology. This theory can offer valuable insights for business management in XAI and competitive societies, governments, and enterprises, enabling them to formulate effective strategies for the future.

The purpose of this study is to characterize the galvanic corrosion behavior of a simulated X80 pipeline steel welded joint (PSWJ) reconstructed by the wire beam electrode (WBE) and numerical simulation methods.

The galvanic corrosion of an X80 PSWJ was studied using WBE and numerical simulation methods. The microstructures of the coarse-grained heat affected zone, fine-grained heat affected zone and intercritical heat affected zone were simulated in X80 pipeline steel via Gleeble thermomechanical simulation processing.

Comparing the corrosion current density of coupled and isolated weld metal (WM), base metal (BM) and heat-affected zone (HAZ), the coupled WM exhibited a higher corrosion current density than isolated WM; the coupled BM and HAZ exhibited lower corrosion current densities than isolated BM and HAZ. The results exhibited that the maximum anodic galvanic current fitted the Gumbel distribution. Moreover, the numerical simulation results agreed well with the experimental data.

This study provides insight into corrosion evaluation of heterogeneous welded joints by a combination of experiment and simulation. The method of reconstruction of the welded joint has been proven to be a feasible approach for studying the corrosion behavior of the X80 PSWJ with high spatial resolution.

Artificial intelligence (AI) customer service has grown rapidly in recent years due to the emergence of COVID-19 and the growth of the e-commerce industry. Therefore, this study employs the integration of the stimuli–organism–response (SOR) and the task-technology fit (TTF) frameworks to understand the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia.

The study utilised a survey-based research approach to investigate the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia. The data were collected by conducting an online survey targeting individuals aged 18 or above who had prior customer service interaction experience with human service agents but had not yet adopted AI customer service. A sample of 339 respondents was used to evaluate the hypotheses, adopting partial least squares structural equation modelling as a symmetric analytic technique.

The PLS-SEM analysis revealed that social influence and anthropomorphism have a positive direct relationship with emotional trust. Furthermore, communicative competence, technology characteristics and perceived intelligence were positively correlated with TTF. Moreover, emotional trust significantly impacts AI customer service adoption. In addition, AI readiness positively moderates the association between task technology fit and AI customer service adoption.

The study provides insights to individuals, organisations, the government and educational institutions to improve the features of AI customer service and its development in Malaysia.

The originality of this study is found in its adoption of the SOR theory and TTF to understand the factors affecting AI customer service adoption. Additionally, it incorporates moderating variables during the analysis, adding depth to the findings. This approach introduces a new perspective on the factors that impact the adoption of AI customer service and offers valuable insights for practitioners seeking to formulate effective strategies to promote its adoption.

Taking the support of social capital theory and conservation of resource theory, the present study explores the mediating role of rumination and moderating role of mindfulness in the relationship of workplace ostracism (WO) and workplace withdrawal (WW).

The data were collected in two waves from 467 employees working in hotels located in Delhi NCR region of India. The hypothesised relationships were investigated by macro-PROCESS (Hayes, 2013).

The results found a mediating impact of rumination on WO and WW relationship. It further supported the moderating effect of mindfulness in weakening the association between WO and WW via rumination.

This study identified mindfulness as an essential mechanism by which WO may be regulated to control employee's tendency to ruminate. Rumination may initially be prevented in organisations by regulating the primary effect of WO on employees' decisions for WW.

By linking the research model with the social capital theory, the study has contributed to the existing body of knowledge. The study is the first of its kind in India to examine the impact of hypothesised associations on the hotel industry. The findings of the study would help the industry in understanding the role of mindfulness in reducing aberrant behaviours at workplace.