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– 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.

The purpose of this paper is to clarify the impact mechanisms and weighting factors of environmental, social and governance (ESG) practices on corporate value through bibliometric analysis and core interpretation of existing literature, further explore whether and under what conditions ESG practices contribute to the corporate value creation, and provide an outlook on future research directions.

Bibliometric method is used to analyze literature co-citation, burst detection and keyword co-occurrence, and literature review method is used to condense important ideas from the existing literature.

Through the review, analysis and summary of the existing literature, this paper finds that the perspectives of risk, information and strategy reflect the key pathways through which ESG practices play a role in avoiding harm and creating value for companies directly or indirectly. Macro, meso and micro factors moderate the direction and extent of the impact. Moreover, considering the relationship between ESG performance and ESG disclosure is key to understanding some contradictory findings.

The search terms limit the articles considered, and therefore, the research framework may be incomplete. Moreover, this article is primarily aimed at the research field and lacks guidance at the practical level.

This paper helps the academic community to deepen its understanding of ESG, moving beyond the question of whether ESG is linked to corporate value to further understand why and under what conditions ESG practices create value for firms.

This paper has great practical significance in motivating companies to actively participate in ESG practices.

The theoretical framework in this paper reveals the black box between enterprise ESG practices and value creation, and clarifies the research boundary of “the relationship between ESG practices and value creation,” contributing to the future research in this field.

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.