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The objective of this study is to investigate the interaction effect between incentive type (financial and compassionate incentives) and the ethicality of merchant strategy on consumer willingness to post positive reviews, while also examining potential variations in consumer responses based on consumption experience, shopping frequency and social class.

Building upon construal level theory, we hypothesized the moderating influence of the ethicality of merchant strategy and examined the three-way interaction among consumers’ demographic characteristics (i.e. consumption experience, shopping frequency and social class), incentive type and the ethicality of merchant strategy. To empirically test our hypotheses, we conducted four experiments and employed ANOVA for data analysis.

The ethicality of merchant strategies moderates the association between incentive type and consumer willingness to post positive reviews, with compassionate incentives eliciting more pronounced moral judgments toward merchant strategies compared to financial incentives. The moderating effect of the ethicality of merchant strategy on the relationship between incentive type and consumer willingness to post positive reviews is particularly strong among consumers who have favorable consumption experiences, engage in frequent shopping and belong to lower social classes.

This study contributes to the existing literature on online reviews by examining the impact of compassionate incentives on consumer review behaviors, analyzing the ethicality of merchant strategies within the realm of online reviews and investigating variations in consumer responses to merchant strategies regarding consumption experience, shopping frequency and social class.

The extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have helped us to systematically understand the antecedents and consequences of FNI. This study contributes to the understanding of FNI and guides future research.

Drawing on the input–process–output framework, this study reviews 202 relevant articles to examine the extent to which the antecedents and consequences of FNI have been investigated. It proposes a conceptual framework and poses future research questions.

First, it examines the “what”, “why”, “who”, “when”, “where” and “how” of creating FNI. Second, it analyses the spread features of FNI and the factors that affect the spread of FNI. Third, it investigates the consequences of FNI in the political, social, scientific, health, business, media and journalism fields.

The extant reviews on FNI mainly focus on the interventions or detection of FNI, and a few analyse the antecedents and consequences of FNI in specific fields. This study helps readers to synthetically understand the antecedents and consequences of FNI in all fields. This study is among the first to summarise the conceptual framework for FNI research, including the basic relevant theoretical foundations, research methodologies and public datasets.

This chapter examines China’s corporate governance and accounting environment that shapes the adoption of internationally acceptable principles and standards. Specifically, it examines international influences, including supranational organizations; foreign investors and international accounting firms; domestic institutional influences, including the political system, economic system, legal system, and cultural system; and accounting infrastructure. China’s convergence is driven by desired efficiency of the corporate sector and legitimacy of participating in the global market. Influenced heavily by international forces in the context of globalization, corporate governance and accounting practices are increasingly becoming in line with internationally acceptable standards and codes. While convergence assists China in obtaining legitimacy, improving efficiency is likely to be adversely affected given that corporate governance and accounting in China operate in an environment that differs considerably from those of Anglo-American countries. An examination of the corporate governance and accounting environment in China suggests heavy government involvement within underdeveloped institutions. While the Chinese government has made impressive progress in developing the corporate governance and accounting environment for the market economy, China’s unique institutional setting is likely to affect how the imported concepts are interpreted and implemented.

The customer experience (CX) in the field of tourism and hospitality has captured new heights. The study aims to understand how CX has been studied in the tourism and hospitality field history using bibliometric analysis. A total of 188 research articles in the Web of Science (WoS) database were selected for bibliometric analysis using VOSviewer from 2008 to 2021. The citation analysis highlighted the most influential journals published in CX within the tourism and hospitality field. Bibliographic coupling along with content analysis helps to categorize intellectual structure in six clusters: (1) Customer experience in the physical environment, (2) Technology-oriented customer experience, (3) Customer experience as driver of well-being, (4) Emotional value in the consumption experience, (5) Behavioral intentions-oriented customer experience, and (6) Total customer experience. Even though bibliometric analysis has gained attraction in business research and growing trends of the experience economy, CX within the tourism and hospitality field was not yet explored comprehensively. The current study was an effort to fill this gap by examining how customer experience in the tourism and hospitality context has been evolved historically. Theoretical, social, and practical implications are presented to establish future research directions.

The research objective is to establish a smart system for building operation and maintenance using self-organizing map-based cluster merging (SOMCM) algorithm.

The process begins with a thorough literature review to establish the interface framework, followed by its design. An empirical study in Taoyuan City’s industrial park, involving 46 buildings and 3,526 maintenance records, informed development. By integrating the “Shared Facility Management System Equipment Repair Module” and the “Maintenance Management System for Existing Facilities,” 21 enhanced interface components were created. All work orders are stored in a database for aggregation, statistical analysis and clustering using the algorithm SOMCM, aiding repair decision-making.

The outcomes stemming from the proposed methodology culminate in the identification of seven patterns that can significantly enhance the efficiency of maintenance operations: (1) simplify current self-repair to outsourcing; (2) modify the current traditional contract type to open contract type; (3) adopt massive procurement for major facilities (e.g. air conditioning); (4) schedule power supply systems in a systematic and efficient way; (5) establish maintenance patterns as suggested to eliminate warehouse for spares; (6) reallocate maintenance resources in a seasonal cycle; (7) set up a standby team to resolve emergency repairs. The findings can reduce a significant amount of time and cost for the investigated industrial park.

Maintenance work has faced delays, aging equipment has caused component damage, and park structures no longer meet operational needs. Addressing these challenges, the study introduces a novel SOMCM approach for smart building operation and maintenance. This approach emphasizes creating a user-friendly, practical system pivotal to platform success. By integrating demand-driven strategies, it enhances traditional maintenance processes and offers innovative solutions to operational and management issues, ensuring alignment with modern requirements and improved efficiency.

The purpose of this paper is to present a weakly supervised learning method to perform health evaluation and predict the remaining useful life (RUL) of rolling bearings.

Based on the principle that bearing health degrades with the increase of service time, a weak label qualitative pairing comparison dataset for bearing health is extracted from the original time series monitoring data of bearing. A bearing health indicator (HI) quantitative evaluation model is obtained by training the delicately designed neural network structure with bearing qualitative comparison data between different health statuses. The remaining useful life is then predicted using the bearing health evaluation model and the degradation tolerance threshold. To validate the feasibility, efficiency and superiority of the proposed method, comparison experiments are designed and carried out on a widely used bearing dataset.

The method achieves the transformation of bearing health from qualitative comparison to quantitative evaluation via a learning algorithm, which is promising in industrial equipment health evaluation and prediction.

The method achieves the transformation of bearing health from qualitative comparison to quantitative evaluation via a learning algorithm, which is promising in industrial equipment health evaluation and prediction.

Scholars and professionals are interested in studying customer value in fast-food restaurants. Previous research on the customer value of fast-food restaurants mainly measured the dimensions and relationships of the customer value. However, the research has not examined a method for identifying sources of customer value in fast-food restaurants. Therefore, this study used customer orientation to find customer needs and generate customer value in fast-food restaurants.

This study presents a conceptual framework with six constructs. A questionnaire was used to gather empirical data from fast-food restaurant customers in Greater Cairo, Egypt. The suggested framework was evaluated using confirmatory factor analysis, reliability and validity analysis, standardized path coefficients and regression-based moderation analysis.

This study found that proactive customer orientation has a substantial direct and positive impact on customer perceived value. Customer perceived value is also positively influenced by responsive and proactive customer orientations, with customer desired value change intensity acting as a moderator. Customer perceived value substantially impacts customer satisfaction, and the latter substantially affects behavioural intention.

This study offers several suggestions for managers of fast-food restaurants on how to employ customer orientation to find current, latent and future customer desires to provide customer value.

This is the first research in the hospitality industry to demonstrate how responsive and proactive customer orientation may be used to recognize customer needs and provide the desired customer value.

The speedy development of information technology (IT) is indeed a significant issue to support the enterprises to spread their products and services to their customers. Although the adoption of IT in the enterprises can help employees' work, it will increase their work exhaustion and job burnout too.

The survey data of this study was collected from Chinese IT personnel (ITP): 543 and Chinese information systems (IS)/IT users: 525, totaling 1,068 respondents.

The result shows that the influences of the organizational factors and guanxi on the work exhaustion are different between Chinese ITP and IS/IT users in the research model. Also the implications of the study are discussed and made some contribution to the research and management practice.

By comparison between the Chinese ITP and IS/IT users, this study shows that guanxi can be antecedent factor to some organizational factors, and the organizational factors guanxi have had a different effect on the work exhaustion of Chinese ITP and IS/IT users. Given that the critical successes to the organizations, management should focus on what direction to reduce Chinese ITP and IS/IT users work exhaustion.

The development of information technologies and the increase in the number of new generation of technology-based consumers lead to significant changes in the promotion and positioning strategies implemented in consumer markets. Applications such as Augmented Reality (AR) have become widespread in promotion activities.

In this study, the authors aimed to determine whether there was a difference between customers’ brand trust and purchase intentions regarding real experiences of the consumers at the store, experiences about AR applications, and traditional advertisements.

Results show that AR applications differ in terms of brand trust and purchasing intention according to traditional advertisements, and the attitudes of consumers toward brand trust and purchase intention in AR applications are more favorable than traditional advertisements. In the light of the results of the study, various strategy proposals were presented to researchers and marketing practitioners.