Search results

– While researchers have discussed the association between career change to self-employment and job satisfaction, few have considered how the association is achieved. Therefore, in this study, the authors aim to explain this relationship from the perspective of job quality. The authors build on job design theory to propose and empirically test how fluctuations in job satisfaction as associated with the transition to self-employment can be explained by changes in job quality.

– The authors tested their propositions using a longitudinal, nationally representative database from Australia for the 2005–2019 period. The final sample included 108,384 observations from 18,755 employees.

– In line with the literature, the authors found that job incumbents experienced low job satisfaction in the years prior to their career change to self-employment and that their job satisfaction improved after the transition. More importantly, the authors found the same change pattern for job quality – measured as job autonomy and skill variety – and the statistical results demonstrated that job quality was the key determinant of job satisfaction during the process.

– This study advocates the importance of job quality in managing employee wellbeing and facilitating retention.

– The authors contribute to the literature by uncovering how job quality, represented by skill variety and job autonomy, can explain fluctuations in job satisfaction during individuals’ career change from paid employment to self-employment.

The purpose of this paper is to examine the moderating effect of organizational politics on the relationships between work engagement, in-role performance and organization citizenship behavior – organization (OCBO).

Theoretical hypotheses were tested using a sample of 107 supervisor-subordinate dyads in China. Outcome variables, such as in-role performance and OCBO, were rated by supervisors.

Contrary to the established literature on positive work engagement-work outcomes relationships, the findings supported the prediction that work engagement was negatively related to supervisor-rated in-role performance and OCBO when the organizational is perceived as highly political.

The sample size for this study is relatively small. In addition, the authors measured organizational politics from employees’ perspectives, which might not reflect reality objectively. Furthermore, the data were collected at a single time point, so causal relationships could not be validated.

When employees perceive the work environment as political, organizations need to be aware of non-work factors that may influence supervisors’ evaluation of employee performance to ensure they do not demotivate and discourage highly engaged employees.

Considerable research has shown that work engagement is positively related to in-role performance and OCBO. The present study, however, challenges and extends previous research by suggesting that work engagement can lead to low supervisor evaluation of in-role performance and OCBO when the organization is perceived to be political.

Drawing on self-determination theory (SDT), this study aims to understand the adverse effects of customer mistreatment on employee performance and well-being by thwarting the satisfaction of employees' basic psychological needs. It also examines how these negative effects may be mitigated by empowerment human resource management (HRM) practices.

Two studies were conducted using survey data collected in China. In Study 1, cross-sectional data from 321 telemarketing employees were analyzed to examine how customer mistreatment reduces the satisfaction of employees' basic psychological needs, harming job performance and job satisfaction. In Study 2, multiwave, multisource data were collected from 149 property agents and their supervisors to replicate the findings of Study 1 and further test empowerment HRM as a moderator of the relationship between customer mistreatment and satisfaction of needs.

The results from both studies show that customer mistreatment leads to low job performance and job satisfaction via reduced satisfaction of employees' needs for autonomy and competence but not relatedness. Moreover, the negative effect on the satisfaction of employees' needs for autonomy and competence was buffered when organizations had high empowerment HRM practices in place.

This study provides new insights on customer mistreatment by understanding its effects from a motivational perspective, which has not been considered in prior research. It also explores how HRM practices can help satisfy employee needs in adverse work environments induced by customer mistreatment.

The study aims to propose reverse processing solution to improve the performance of strapdown inertial navigation system (SINS) initial alignment and SINS-/global positioning system- (GPS) integrated navigation. The proposed scheme can be well applied in the fields of aircraft and aerospace navigation.

For the SINS alignment phase, a fast initial alignment scheme is proposed: the initial value of reverse filter is determined by the final result of forward filter, and then, the reverse filter is carried out using the stored data. Multiple iterations are performed until the accuracy is satisfied. For the SINS-/GPS-integrated phase, a forward–reverse navigation algorithm is proposed: first, the standard forward filter is used, and then, the reverse filter is carried out using the initial value determined by the forward filter, and the final fusion results are achieved by the weighted smoothing of the forward and reverse filtering results.

The simulation and the actual test results show that in the initial alignment stage, the proposed reverse processing method can obviously shorten the SINS alignment time and improve the alignment accuracy. In the SINS-/GPS-integrated navigation data fusion stage, the proposed forward–reverse data fusion processing can, obviously, improve the performance of the navigation solution.

The proposed reverse processing technology has an important application in improving the accuracy of navigation and evaluating the performance of real-time navigation. The proposed scheme can be not only used for SINS-/GPS-integrated system but also applied to other integrated systems for general aviation aircraft.

Compared with the common forward filtering algorithm, the proposed reverse scheme can not only shorten alignment time and improve alignment accuracy but also improve the performance of the integrated navigation.

Recent years have witnessed the increasingly fierce competition amongst smartphone brands. Hence, smartphone firms urge to prevent current consumers from switching to maintain market position. Based on the push–pull–mooring (PPM) framework, this study aims to explore the drivers of users' intentions to switch from their current smartphone brands.

Based on previous literature and the characteristics of the smartphone purchase, this study identified one pushing, two pulling and five mooring factors. Online questionnaires were collected to test hypotheses using the structural equation modelling approach. An additional netnography study provides further support to the hypotheses.

Results show that regret is a push factor that enhances consumers' switching intentions. Moreover, two pull factors, subjective norms and alternative attractiveness positively influence consumers' switching intentions. Finally, switching costs, emotional commitment and brand community engagement are mooring factors that negatively affect brand-switching intention, whereas consumers' variety seeking has a positive effect.

This study enriches the brand switching literature and offers significant implications for customer retention.

This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).

A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.

Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.

This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.

Enabled by pronounced advancement in technology, branded apps have dramatically changed how consumers communicate with brands. However, despite the proliferation of mobile apps, brands are struggling to engage users. Without engagement, a mobile app is unable to attract continued usage and brands are unable to establish relationships with consumers. Grounded in construal level theory, this study aims to adopt a fresh perspective to examine the determinants of psychological distance, which plays a key role in branded app engagement.

An online survey with valid data from 396 app users of UberEats, Foodpanda, 7-11 and FamilyMart in Taiwan was conducted.

Perceived synchronicity, localization, homophily, ease of use and design aesthetics are the key determinants that drive branded app engagement, which, in turn, facilitates continuous app usage intention, a positive brand attitude and brand loyalty.

This study contributes to the literature by revealing the five determinants of psychological distance that exert impacts on the establishment of branded app engagement. This research provides valuable findings that practitioners can emphasize to drive branded app engagement.

By integrating stimulus-organism-response theory and uses and gratifications theory, this study explored the salient gamification factors that satisfy the gratifications of conference attendees in the context of an event gamification mobile app and their relationships with conference engagement, continuance intention and word-of-mouth.

The questionnaire was developed in Qualtrics and administered on a gamification application called Goosechase during an annual hospitality conference. The proposed hypotheses were tested using the partial least square-structural equation modeling (PLS-SEM).

The gratifications of social presence, education and entertainment through a gamification mobile app influences attendees’ engagement during the conference while achievement gratification does not. Positive effects of conference engagement on their continuous intention and WOM have been also validated.

By adopting a unique integrated approach that utilizes UGT and S-O-R framework, while considering conference engagement as work-related engagement, this study offers a fresh perspective on gamification apps and discusses its theoretical and practical implications in depth.

During rush hours, many passengers find it difficult to board the first train due to the insufficient capacity of metro vehicles, namely, left behind phenomenon. In this paper, a data-driven approach is presented to estimate left-behind patterns using automatic fare collection (AFC) data and train timetable data.

First, a data preprocessing method is introduced to obtain the waiting time of passengers at the target station. Second, a hierarchical Bayesian (HB) model is proposed to describe the left behind phenomenon, in which the waiting time is expressed as a Gaussian mixture model. Then a sampling algorithm based on Markov Chain Monte Carlo (MCMC) is developed to estimate the parameters in the model. Third, a case of Beijing metro system is taken as an application of the proposed method.

The comparison result shows that the proposed method performs better in estimating left behind patterns than the existing Maximum Likelihood Estimation. Finally, three main reasons for left behind phenomenon are summarized to make relevant strategies for metro managers.

First, an HB model is constructed to describe the left behind phenomenon in a target station and in the target direction on the basis of AFC data and train timetable data. Second, a MCMC-based sampling method Metropolis–Hasting algorithm is proposed to estimate the model parameters and obtain the quantitative results of left behind patterns. Third, a case of Beijing metro is presented as an application to test the applicability and accuracy of the proposed method.

The public health emergency of COVID-19 (Corona-virus disease) pandemic has greatly impacted tourism industry, especially in the rural tourism. This paper aims to study how rural tourism practitioners can get out of the mire of the pandemic. By analyzing the behaviors of various stakeholders and the logic of the impact of the pandemic, the behaviors of participants and future development were sorted out. The key elements that promote the recovery of rural tourism were discovered.

Based on the framework of institute analysis and development (IAD), this research selected six rural tourist communities in China as subjects for the studies. Based on the seven basic principles of hermeneutics and the inductive research method, following the analysis method of “first-order coding, second-order coding, aggregated dimensions,” the texts obtained through in-depth interview and work reports were analyzed and concepts were extracted.

The paper extracted 44 first-order concepts and 14 second-order concepts, and obtained 7 aggregation dimensions, including policy formulation and implementation, improvement of integrated marketing capabilities, improvement of tourism product quality, restrictions on rural tourism development, protection and optimization of environmental resources, industrial integration strategies and improvement of managerial and coordinating capabilities. During the pandemic, the government, enterprises and associations, as the service providers of rural tourism, can optimize the environmental resources and industrial resources of rural tourism by formulating policies, refining products and strengthening marketing in the action arena, to promote the industrial integration of rural tourism and provide better products and services for tourists.

This paper uses the IAD framework to study how rural tourism communities can successfully recover from the impact of the pandemic. It is found that the rapid recovery of rural tourism is the result of collective action. The core of establishing the collective action mechanism of rural tourism is consensus mechanism, co-construction mechanism and sharing mechanism. By studying the path and possibility of collective action of rural tourism communities, this paper explores the approach of multi-center governance of rural tourism communities to promote the imminent recovery of rural tourism.

新冠疫情（COVID-19）对旅游业，尤其是乡村旅游产生了极大影响。本文旨在探究乡村旅游从业者如何摆脱疫情危机。研究通过分析疫情带来的影响及各利益相关者的反应，梳理旅游从业者的行为，探究乡村旅游未来的发展。研究指出了促进乡村旅游复苏的关键因素。

基于制度分析与发展（IAD）理论框架，本文选取中国境内6个乡村旅游目的地作为研究对象。采用解释学七大基本原则和归纳式研究方法，通过对深度访谈和政府工作报告获得的文本进行分析，提取出“一阶编码、二阶编码、聚合维度”。

研究提取44个一阶编码和14个二阶编码，最终得到7个聚合维度，包括政策制定与实施、整合营销能力提升、旅游产品质量提升、乡村旅游发展制约因素、保护和优化环境资源、实施产业整合战略和提高管理协调能力。疫情期间，政府、企业和协会作为乡村旅游的服务提供者，可以通过制定政策、改善产品、加强营销，优化乡村旅游的环境资源和产业资源，推动乡村旅游产业融合，为游客提供更好的产品和服务。

本文利用IAD框架研究乡村旅游在疫情中的复苏。研究发现，乡村旅游的快速复苏是集体行动的结果。建立乡村旅游集体行动机制的核心是共识机制、共建机制和共享机制。本文通过研究乡村旅游社区集体行动的路径和可能性，探索乡村旅游多中心治理的途径，促进乡村旅游复苏。