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Article
Publication date: 19 May 2023

Weimo Li, Yaobin Lu, Peng Hu and Sumeet Gupta

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic…

Abstract

Purpose

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Design/methodology/approach

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

Findings

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

Originality/value

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

Article
Publication date: 24 March 2023

Laiba Kafeel, Muhammad Mumtaz Khan and Syed Saad Ahmed

The study aims to explore the mediating role of flow at work and moderating role of creative self-efficacy in the relationship between authentic leadership and innovative work…

Abstract

Purpose

The study aims to explore the mediating role of flow at work and moderating role of creative self-efficacy in the relationship between authentic leadership and innovative work behavior.

Design/methodology/approach

The study collected data from 315 employees working in the service sector through survey design. Data analysis was done through structural equation modeling.

Findings

The findings revealed that authentic leadership is related to flow at work and innovative work behavior. Flow at work was also found to be related to innovative work behavior. Flow at work was found to mediate the relationship between authentic leadership and innovative work behavior. The study also confirmed the moderating role of creative self-efficacy in the relationship between authentic leadership and innovative work behavior.

Originality/value

The study unearthed the previously unexplored mediating role of flow at work linking authentic leadership to innovative work behavior. Additionally, it is the first study that explicated how creative self-efficacy moderates the relationship between authentic leadership and innovative work behavior; the relationship between the two is stronger when creative self-efficacy is high.

Details

International Journal of Innovation Science, vol. 16 no. 3
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 12 January 2024

Birna Dröfn Birgisdóttir, Sigrún Gunnarsdóttir and Marina Candi

Leadership is an essential contributor to employee creative self-efficacy, and past research suggests a positive relationship between servant leadership and creative…

Abstract

Purpose

Leadership is an essential contributor to employee creative self-efficacy, and past research suggests a positive relationship between servant leadership and creative self-efficacy. However, the relationship is complex and contingent upon moderating variables, and this research examines the moderating effect of role clarity by drawing on social exchange theory and social cognitive theory.

Design/methodology/approach

Data collected from a survey among 116 emergency room employees is used to test the research model using moderated ordinary least squares regression.

Findings

The results confirm a positive relationship between servant leadership and creative self-efficacy and suggest a U-shaped relationship between role clarity and creative self-efficacy. Furthermore, role clarity positively moderates the relationship between servant leadership and creative self-efficacy.

Research limitations/implications

The sample used for this research mainly consisted of highly educated employees within a specific setting. Future research is needed to study if the relationships found in this research can be generalized to other organizational settings.

Practical implications

This research suggests that leaders can support employees' creative self-efficacy through servant leadership, particularly when coupled with high role clarity.

Originality/value

Rapidly changing work environments are characterized by decreased role clarity, so attention is needed to its moderating role on the relationship between servant leadership and creative self-efficacy.

Details

Leadership & Organization Development Journal, vol. 45 no. 3
Type: Research Article
ISSN: 0143-7739

Keywords

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