Suchergebnisse

Purpose
This study aims to explore the spatial impact of an increase in the minimum wage on the labor productivity of star-rated hotels in China.


Design/methodology/approach
The impact is analyzed by using the dynamic spatial Durbin model.


Findings
The authors find a U-shaped link between the increase in minimum wage and labor productivity of star-rated hotels. The long-term impact of a minimum wage increase has a greater influence on labor productivity than its short-term effects. While there is no notable spatial spillover impact observed in the sample of 31 provinces in China, the authors do identify a spatial spillover effect of the minimum wage rises on the labor productivity of star-rated hotels in the central area. Furthermore, they observe heterogeneity across China. The eastern and western regions exhibit a U-shaped relationship, whereas the central region exhibits an inverted U-shaped relationship.


Practical implications
The findings of this study allow government agencies to get a more comprehensive comprehension of the actual consequences of minimum wage hikes on the tourism and hospitality sector, thereby establishing a solid basis for them to develop appropriate policies. Moreover, it offers a variety of suggestions aimed at enhancing the quality and efficiency of hotel management.


Originality/value
Research on the effects of minimum wage standards is scant in the hospitality industry. Based on human capital investment theory, this study examines the effect of the minimum wage standard hikes on labor productivity of star-rated hotels from the spatial perspective, filling the existing research gap.

PurposeThis paper is to investigate how employees respond to information security policies (ISPs) when they view the policies as a challenge rather than a hindrance to work. Specifically, the authors examine the roles of challenge security demands (i.e. continuity and mandatory) and psychological resources (i.e. personal and job resources) in influencing employees' ISP non-compliance.Design/methodology/approachApplying a hypothetical scenario-based survey method, the authors tested our proposed model in six typical ISPs violation scenarios. In sum, 347 responses were collected from a global company. The data were analyzed using partial least square-based structural equation model.FindingsFindings indicated that continuity and mandatory demands increased employees' level of perseverance of effort, which, in turn, decreased their ISPs non-compliance intention. In addition, job resources, such as the trust enhancement gained from co-workers and the opportunities for professional development, enhanced the perseverance of effort.Practical implicationsThe findings offer implications to practice by suggesting that organizations should design training programs to persuade employees to understand the ISPs in a positive way. Meanwhile, organizations should encourage employees to invest more personal resources by creating a trusting atmosphere and providing them opportunities to learn security knowledge and skills.Originality/valueThis study is among the few to empirically explore how employees respond and behave when they view the security policies as challenge stressors. The paper also provides a novel understanding of how psychological resources contribute to buffering ISP non-compliance.

PurposeThe purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.Design/methodology/approachA total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.FindingsThe results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.Originality/valueThis study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.