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The endless manifestation of employee misbehaviours can be classified according to Robinson and Bennett’s (1995) employee deviance typology. Using this typology, the purpose of this paper is to examine the level of “judicial” tolerance for offences committed by employees across Australian workplaces that culminated in an arbitration hearing before the country’s federal industrial tribunal.

A content analysis was performed on 565 misbehaviour related, unfair dismissal arbitration decisions made by Australia’s federal industrial tribunal between July 2000 and July 2010. Using the count data that resulted, a logistic regression model was developed to determine which unfair dismissal claim characteristics influenced whether or not a dismissal was deemed to be an appropriate course of disciplinary action.

The results suggest that an arbitrator’s gender, experience and background have influence on his or her decision. Significance tests also verified that personal aggression, production deviance, political deviance and property deviance were all considered unacceptable in Australian workplaces. Importantly, the results enable the ordering of the range of tolerance. From this ordering, a picture emerged as to what factor may be framing the extremities of the arbitrators’ tolerance for the misbehaviours: the target (or victim) of the behaviour.

Unfair dismissal claims that are settled through private conciliation, as they occur off the public record, could not be included in the analysis.

Society’s implicit stakeholder interest in what constitutes appropriate workplace behaviour is further testament to the HRM obligation to facilitate sustainable workforces. Management should consider whether dismissing a misbehaving employee is a reactionary approach to broader organisational issues associated with employee well-being and cultural norms. In order to contribute to sustainable workforces, HRM policies and actions should focus on limiting triggers that drive misbehaviour, particularly behaviours that result in harm to individuals as a matter of priority, followed closely by triggers to behaviours that result in harm to organisational profitability.

This paper presents new insights about the degrees to which various forms of employee misbehaviour are accepted in the workplace.

Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app satisfaction, food satisfaction and repurchase intentions.

Online surveys were completed by 1,000 customers who used a food-ordering mobile app to order fast food on the day they completed the online survey. Structural equation modelling was then used to examine the proposed mechanism.

Results showed that the effects of food-ordering mobile app service quality on customer satisfaction (i.e. mobile app satisfaction and food satisfaction) and repurchase intention varied widely across service quality dimensions. Mobile app service quality had significant spillover effects on food satisfaction and repurchase intention.

Online food-delivery platforms should find the results insightful to better design their food-ordering mobile app. The findings can also assist restaurateurs and mobile payment companies with supporting the whole online food delivery process.

Rather than examining online food delivery service quality based on the service delivery process in the during-consumption stage or the service outcomes in the post-consumption stage, this study focused on the service quality in the pre-consumption stage to highlight the important role of online food delivery mobile apps. From a longitudinal perspective, this study drew on the associate network theory to explain the spillover effect of mobile app satisfaction in the pre-consumption stage on food satisfaction in the during-consumption stage and repurchase intention in the post-consumption stage.

This study aims to identify the underlying dimensions of hospitality organizational climate and then measure the influence of it on employee turnover tendency.

Data were obtained from 504 employees across 18 upscale hotels in India. Factor analysis was adopted to identify the organizational climate dimensions and its influence on turnover tendency was measured by SEM. One-way ANOVA tested the hypothesis related to the perceived differences among the employees regarding turnover intention.

Result supports the hypothesized relationship between the constructs that the identified organizational climate structure have strong inverse relationship with employee turnover tendency and its dimension “leaders facilitation and support” was found to influence turnover intention the most, followed by “cohesion, clarity and objectivity of system,” “esprit of profession, organization and workgroup” and “job challenge, variety and feedback.” Results also determined differences among the hotel employees of different job levels and gender regarding turnover tendency.

Study reveals that employee turnover tendency is predominantly influenced by the identified factors of organizational climate and more among the male frontline employees and attrition reduces with age and position. This knowledge will help the hotel's management in designing strategic HRM to control attrition.

This study is the first to establish an organizational climate measure of hotel industry in India and opens scope for future research. It also draws attention to the relationship of organizational climate with turnover tendency.

The purpose of this paper is to attempt to investigate the relationship between human resource management (HRM) competency and firm performance. Drawn upon the resource-based view and alignment theory, HRM competency is expected to be related to the adoption of high performance work systems (HPWS) and the achievement of external fit in HRM, which in turn contribute to firm performance.

The data for this study were collected via a survey of in 157 Chinese enterprises located in the high technology development zone of three large cities. Two different respondents from each firm provided information about organizational characteristics, HRM policy and practices, and firm performance. Multiple regressions were used to test the hypotheses.

Results indicate that HRM competency has a significant and positive effect on firm performance. Such an effect is found to be mediated by the achievement of external fit, but not the adoption of HPWS.

Limitations of the study include cross-sectional data, perceptual measure of firm performance, omission of external variables, and restricted sample. This study highlights the importance of HRM competency in strategic HRM, and provides evidence about how this construct is linked to firm performance.

This is the first study that explores the effect of HRM competency on the adoption of HPWS and the achievement of external fit. It further reveals that the achievement of external fit mediates the relationship between HRM competency and firm performance, and hence contributes to the HRM literature.

In addition to data transforming the insurance sector from within, insurance consumers and their behaviour has transformed significantly over the past 20 years from traditional retail to, predominantly, online trading. Data are a fundamental part of how the sector operates, and the use of data in insurance is constantly evolving. This paper aims to explore consumer perceptions about digital privacy and their subsequent motivations to disclose personal data for insurance purposes.

The study uses an exploratory research approach based on in-depth interviews to generate metathemes to provide an understanding of consumer perceptions about digital privacy and data sharing in the insurance sector.

Consumers were extrinsically motivated to disclose data by financial reward and convenience; however, subsequent intrinsic motivations may be an influence on the initial motivations. Consumers perceived transactions as “fair” if they received the expected rewards, retained control of the data, and the data was not unilaterally used to their detriment. Concern for privacy was generally low, provided antecedent conditions were met.

As the study uses an exploration for discovery approach, the main limitation of this study is its small sample. However, this research aimed to identify metathemes and issues that may be the focus of future research in this area and is, therefore, not proposing to suggest strong conclusions and definitive answers.

This paper presents the first empirical research to examine data privacy issues in the UK insurance context. It contributes to knowledge in the areas of motivation, applied ethics and online consumer behaviour in general.

The purpose of this paper is to investigate the effect competition has on organizations’ use of high-performance work systems (HPWSs). Specifically, using the resource-based view (RBV) of the firm, it develops a logic for why firms will increase their use of an HPWS when competition increases. It investigates the direct effect of competition on HPWS use. Additionally, it takes a look at the impact market commonality and resource similarity have on the influence of competition on organizations’ use of an HPWS.

Survey method design was used to collect data about organizations from 127 alumni of two large Midwestern universities in the USA. Data were analyzed using OLS regression analysis.

The main finding of this paper is that competition increases the use of HPWSs. There was not statistical support for the effect of market commonality or resource similarity to influence the competition–HPWS relationship.

This study uses the RBV of the firm to understand how competition influences the adoption of HPWSs. Additionally, it also investigated the effect of market commonality and resource similarity, which has not previously been looked at.

The COVID-19 pandemic has caused the food delivery sector to boom as people continue to rely on services provided by online catering platforms (OCPs). However, because of the nature of sharing economy employment, gig workers’ contributions went largely ignored until intervention from institutional governance. This study aims to explore the impacts of labor market transformation after the Chinese Government issued guidance to promote gig workers’ welfare as a focal case.

Focus groups and the Delphi technique were used to explore associated impacts on OCPs and gig workers based on governance theory.

Results show that institutional governance negatively affected OCPs’ operating cost structure but sustained gig workers’ welfare. The dual effects of market mechanism and institutional governance in the sharing economy are needed to be balanced for labor market transformation.

Long-term equilibrium can be fulfilled, given the growing food-related demand for the market mechanism. Social reciprocity is expected to be realized through institutional governance for gig workers’ welfare.

This study suggests that moving from market governance to stakeholder governance, as mediated by state governance, could transform gig workers’ labor structure in the gig economy. This study presents an integrated governance theory to enhance the epistemology of institutional governance.