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The research aims to explore the influence mechanism of peer feedback and users' knowledge contribution behavior. This study draws on the social identity theory and considers social identity as a mediating factor into the research framework.

This paper collected users' activity data of 142,191 ideas submitted by 76,647 users from the MIUI community between October 2010 and May 2018 via Python software, and data were processed using Stata 16.0.

The results indicate that knowledge feedback and social feedback positively influence users' knowledge contribution (quantity and quality), respectively. User's cognitive identity positively mediates the relationship between peer feedback and knowledge contribution behavior, affective identity positively mediates the relationship between peer feedback and knowledge contribution behavior, while evaluative identity positively mediates the relationship between peer feedback and knowledge contribution quality, but there is no mediating effect between peer feedback and knowledge contribution quantity.

This study advances knowledge management by highlighting peer feedback on online innovation communities. By demonstrating the significant mediating effect of social identity, this study empirically clarifies the relationships of peer feedback (knowledge feedback and social feedback) to specific dimensions of knowledge contribution, thereby providing managerial guidance to the online innovation community on incentivizing and managing user interaction to foster the innovation development of firms.

The purpose of this paper is to understand the effect of online cross-recommendation of products from e-retailers on consumers’ instant cross-buying intention, and compare the effect between the contexts that the decision making on focal product is difficult and easy.

Based on the information adoption model, this paper develops a theoretical model to investigate how online cross-recommendation of products from e-retailers influence consumers’ instant cross-buying intention. Empirical data were collected from 224 online shoppers. The Partial Least Squares technique was used to test the proposed research model.

Choice confidence on focal product and perceived usefulness of cross-buying is the antecedents of instant cross-buying intention. Brand awareness of recommended product, one-stop shopping convenience, and perceived price advantage are the antecedents of perceived usefulness of cross-buying and choice confidence on focal product when the decision making on focal product is difficult, whereas brand awareness is not when it is easy to make focal product decision. Choice confidence on focal product positively affects perceived usefulness of cross-buying when it is easy to make focal product decision, whereas the effect is not significant when the decision making on focal product is difficult.

Knowledge about the effect of online cross-recommendation of products on instant cross-buying intention is scarce. This study reveals the psychological mechanism of the effect of online cross-recommendation of products on consumers’ instant cross-buying intention and finds that decision-making difficulty on focal product is an important moderator.

The purpose of this paper is to have a deeper understanding of the nonlinear relationship between the impact of climate change on tourism development. Current studies on the effects of climate change on tourism development primarily rely on linear correlation assumptions.

Based on the New Institutional Economics theory, the institutional setting inherently motivates and ensures the growth of the tourism industry. For a precise evaluation of the nonlinear consequences of climate change on tourism, this paper concentrates on Chinese cities between 2011 and 2021, methodically analyzing the influence of climate change on tourism.

The study findings suggest that there is an “inverse U”-shaped nonlinear relationship between climate change and tourism development, initially strengthening and subsequently weakening. Based on these findings, the research further delves into how institutional contexts shape the nonlinear association between climate change and tourism growth. It was found that in a higher institutional backdrop, the “inverse U” curve tends to flatten and surpass the curve adjusted for a lesser institutional context. Upon deeper mechanism analysis, it was observed that cities with more advanced marketization, improved industrial restructuring and enhanced educational growth exhibit a more evident “inverse U”-shaped nonlinear connection between climate change and tourism evolution.

First, previous studies on climate change and tourism development largely rely on questionnaire data (Hu et al., 2022). In contrast to these studies, this paper uses dynamic panel data, which to some extent overcomes the subjectivity and difficulty of causality identification in questionnaire data, making our research conclusions more accurate and reliable. Second, this study breaks through the linear relationship hypothesis of previous literature regarding climate change and tourism development. By evaluating the nonlinear relationship of climate change to tourism development from the institutional pressure perspective, it more intricately delineates their interplay mechanism, expanding and supplementing the research literature on the relationship mechanism between climate change and tourism development. Thirdly, the conclusions of this study are beneficial for policymakers to better understand and assess the scope of climate change impacts. It also aids relevant departments in clarifying the direction of institutional environment optimization to elevate the level of tourism development when faced with adverse impacts brought about by climate change.

The hospitality industry has recently witnessed explosive growth in robotization with the replacement of robots in many areas. Yet, a key consideration in this robotics wave is whether competition (i.e. robots take over all human tasks) or collaboration (i.e. humans collaborate closely with robots to perform work better) will define the future of the hospitality workspace. The purpose of this paper is to shed light on this controversial issue by taking a collaborative perspective to address the future human–robot relationship in hospitality workplace (i.e. cobotic team).

Drawing upon relevant theories and extant robotics literature, this paper will develop a critical reflection on the management of future cobotic team as a new phenomenon in hospitality industry.

The successful management of cobotics in hospitality lies in three interrelated key domains: feeling intelligence training for frontline employees, ethics governance for cobotics and trust building toward robot partners.

How to manage this cobotic team efficiently will be a focus for hospitality managers in the coming years. This paper offers several managerial insights for hospitality managers and practitioners regarding effectively managing the future collaboration between humans and robots within a dynamic work environment.

This study addresses cobotics as a critical yet unaddressed shift in the contemporary hospitality sector and proposes a framework highlighting three key domains for managing this cobotic team effectively. This framework also sets the direction to encourage more future empirical research exploring cobotic workforce in hospitality.

The main purpose of this study was to investigate how the experiential value of lodging tourists affected the relationship between authentic happiness and behavioural intention.

A purposive sampling technique was adopted for Taiwanese tourists with lodging experience during the 2017 Taipei International Travel Fair; and utilises confirmatory factor analysis (CFA), and structural equation modelling (SEM) to validate the suitability of questionnaire items, model fit, and the proposed hypotheses.

The results demonstrated that experiential value significantly and positively influenced authentic happiness. The mediating effect of authentic happiness through which experiential value enhances behavioural intention of lodging tourists was also found to exist.

This study provides a novel approach which presents experiential value as the antecedent variable, authentic happiness as the mediator, and behavioural intention as the dependent variable, in order to better understand tourists’ lodging decision-making processes and behaviours and this approach is considered an advancement within the literature.

本研究最主要的目的是在调查台湾住宿游客的体验价值如何影响真实快乐与行为意图之间的关系。

本研究采用目的抽样, 选取2017年台北国际旅展中有住宿经验的台湾游客为问卷受测对象, 并使用验证性因素分析（CFA）及结构方程模型（SEM）来验证模型的适合度及所提出的研究假设。

研究结果显示体验价值显著正向影响真实快乐, 同时也发现真实快乐的中介效果显著存在, 透过真实快乐的中介, 体验价值可以增强住宿游客的行为意图。

本研究提供一种新颖的途径, 将体验价值做为前因变数、真实快乐视为中介变数、及行为意图做为依变数, 以利于清楚了解游客的住宿决策过程和行为, 同时该途径在文献上被视为是一种进步。

El objetivo principal de este estudio fue investigar cómo el valor experiencial de los turistas de alojamiento afectó la relación entre la felicidad auténtica y la intención de comportamiento.

Se adoptó una técnica de muestreo intencional para los turistas taiwaneses con experiencia de alojamiento durante la Feria Internacional de Viajes de Taipei 2017; utilizando el análisis factorial confirmatorio (CFA) y el modelado de ecuaciones estructurales (SEM) para validar la idoneidad de los ítems del cuestionario, el ajuste del modelo y las hipótesis propuestas.

Los resultados demostraron que el valor experiencial influyó de manera significativa y positiva en la felicidad auténtica. También se descubrió que el efecto mediador de la felicidad auténtica a través del cual el valor experiencial mejora la intención conductual de los turistas de alojarse.

Este estudio proporciona un enfoque novedoso que presenta el valor experiencial como la variable antecedente, la felicidad auténtica como mediador y la intención de comportamiento como la variable dependiente, para comprender mejor los procesos y comportamientos de toma de decisiones de alojamiento de los turistas, y este enfoque se considera un avance dentro de la literatura.

While the positive effects of customer citizenship behavior are well established, research on its potential negative consequences is scarce. This study aims to examine the indirect relationship between customer citizenship and dysfunctional customers via customer moral credits and entitlement, as well as the moderating influence of customer citizenship fatigue.

Study 1 employed a cross-sectional design with a self-administered survey. The data were collected from 314 customers using an online research panel. In Study 2, the authors manipulated customer citizenship behavior using 203 participants to establish causality and rule out alternative explanations of the findings of Study 1. In Study 3, the authors replicated Study 2 and enhanced internal validity by using a more controlled experimental design using 128 participants.

This study shows that when customer citizenship fatigue is high, customer citizenship behavior elicits customer moral credit, which leads to customer entitlement and, in turn, promotes dysfunctional customer behavior. Conversely, when customer citizenship fatigue is low, customer citizenship behavior does not generate moral credit or entitlement, preventing dysfunctional customer behavior.

The study shows that promoting customer citizenship behavior does not always lead to positive outcomes. Therefore, when promoting customer citizenship behavior, managers should consider the psychological licensing process and ways to mitigate the influence of moral credits.

This study challenges common wisdom and investigates the dark side of customer citizenship behavior. Specifically, it demonstrates that customer citizenship behavior could backfire (e.g. dysfunctional customer behavior). It also shows that only customers who experience a high level of fatigue from their citizenship behaviors are psychologically licensed to gain moral credit, leading to dysfunctional customer behavior.

This paper introduces the concept of dysfunctional customer behavior toward a brand and argues that when customers perceive that a brand has failed to fulfill its promises, a psychological brand contract breach occurs, which in turn leads to a psychological brand contract violation, which evokes dysfunctional customer behavior toward the brand. In addition, this study investigates whether the impact of a breach of this contract is dependent on brand relationship quality, brand apology and restitution.

Study 1 conducted the online survey and 224 respondents were used for data analysis and the moderating role of brand relationship quality was examined. Study 2 conducted an experiment with 201 participants to test the moderating role of brand apology and restitution.

This study found the moderating role of brand relationship quality, brand apology and brand restitution on the relationship between a psychological brand contract breach and dysfunctional customer behavior toward a brand (i.e. brand-negative word-of-mouth, brand retaliation and brand boycott), which is mediated by psychological brand contract violation.

This study contributes to the theoretical understanding of dysfunctional customer behavior toward a brand by integrating the literature on brand management with the organizational literature on psychological contracts between organizations and their employees. Furthermore, this study sheds light on the effectiveness of reparative actions by the firm after occurrence of the psychological brand contract breach.

This paper aims to investigate emerging trends in data analytics and knowledge management (KM) job market by using the knowledge, skills and abilities (KSA) framework. The findings from the study provide insights into curriculum development and academic program design.

This study traced and retrieved job ads on LinkedIn to understand how data analytics and KM interplay in terms of job functions, knowledge, skills and abilities required for jobs, as well as career progression. Conducting content analysis using text analytics and multiple correspondence analysis, this paper extends the framework of KSA proposed by Cegielski and Jones‐Farmer to the field of data analytics and KM.

Using content analysis, the study analyzes the requisite KSA that connect analytics to KM from the job demand perspective. While Kruskal–Wallis tests assist in examining the relationships between different types of KSA and company’s characteristics, multiple correspondence analysis (MCA) aids in reducing dimensions and representing the KSA data points in two-dimensional space to identify potential associations between levels of categorical variables. The results from the Kruskal–Wallis tests indicate a significant relationship between job experience levels and KSA. The MCA diagrams illustrate key distinctions between hard and soft skills in data across different experience levels.

The practical implications of the study are two-fold. First, the extended KSA framework can guide KM professionals with their career planning toward data analytics. Second, the findings can inform academic institutions with regard to broadening and refining their data analytics or KM curricula.

This paper is one of the first studies to investigate the connection between data analytics and KM from the job demand perspective. It contributes to the ongoing discussion and provides insights into curriculum development and academic program design.

In recent years, private brands for e-commerce platforms have experienced rapid growth. However, whether these platforms developing private brands should share their demand information with others and how such information sharing affects the sales format selection of national brand manufacturers have puzzled firm managers in practice. This paper aims to investigate the information-sharing strategy for the e-commerce platform and its influence on the sales format selection in the presence of the private brand.

The authors use a game-theoretical model to examine the interaction between the information-sharing strategy and sales format selection in a supply chain consisting of a manufacturer and a platform that operates a private brand.

The equilibrium results show that when the commission rate is low, the manufacturer favors agency selling, and the platform shares demand information with the manufacturer; when the commission rate is high, the manufacturer prefers reselling, and the platform does not share the information. This preference is affected by information forecasting accuracy; as the information forecasting accuracy increases, the manufacturer prefers to adopt agency selling, and the platform tends to share the information. Interestingly, under agency selling, sharing information with the manufacturer can increase the platform’s profit from selling the private brand and achieve a win-win situation for them. Furthermore, we show that the manufacturer can inspire the platform to share the information with himself by adopting agency selling, whereas the platform sharing the information improves the probability that the manufacturer adopts agency selling. Moreover, the manufacturer may have a first-mover advantage. In particular, the manufacturer moving first increases the likelihood that the manufacturer chooses agency selling and the platform shares the information.

This paper contributes to sales format literature by exploring the effect of information sharing strategy on sales format selection in the presence of the private brand and can help manufacturers and platforms to make suitable decisions regarding information sharing and sales format selection.

This study investigates the effect of auditing industry specialization (AIS) on the relative derivatives use for earnings management.

The sample chosen in this study comprises 30,599 firm-year observations of Chinese public companies from 2005 to 2018. The sample is divided into two time periods (2005–2013 and 2014–2018) according to the year when IFRS 9 was implemented (IFRS 9, first discussed by the International Accounting Standards Board in March 2008, is based on an expected credit loss model for determining new and existing expected credit losses on financial assets. The definition was completed in July 2014 and implemented in 2018). AIS was gauged with respect to audit firms and individual auditors, and measured by market share in number and scale of clients. Linear regression is adopted to test hypotheses. Moreover, two-stage least square model (2SLS) is used to eliminate the concern of possible endogeneity.

When gauged with respect to client scale, the scale-based AIS constrained the level of derivatives use for earnings management in the first period (2005–2013) while increased the level in the second period (2014–2018). The findings sustain for the analysis of audit firms and that of individual auditors, and for different definitions of AIS.

The positive AIS-IN relation after the adoption of IFRS 9 implies the sacrifice audit independence. This could be indebted to the government policy that favors local audit firms to be comparable to international Big 4 audit firms, and therefore results in competition among local auditors/audit firms in securing number rather than quality of clients.

The data of AIS in China are collected using a Python web crawler.