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Article
Publication date: 26 October 2023

Linhao Han, Tao Wang, Yu Jia, Yinger Ye, Tianyuan Liu and Jiayu Lv

This study investigates how role overload in the sharing economy leads to emotional exhaustion, which restricts value co-creation activity, and also investigates the moderating…

Abstract

Purpose

This study investigates how role overload in the sharing economy leads to emotional exhaustion, which restricts value co-creation activity, and also investigates the moderating effect of perceived platform support.

Design/methodology/approach

Two experimental investigations and field research questionnaires were given to respondents with shared mobility industry expertise.

Findings

First, role overload detrimentally affects service providers' value co-creation behavior; second, emotional exhaustion acts as a mediator between role overload and value co-creation behavior; and finally, perceived platform support moderates the adverse effect of role overload on emotional exhaustion.

Originality/value

To the best of the authors' knowledge, this study is the first to explore the antecedents of value co-creation behavior from the service provider's perspective, extending the application of COR theory in a sharing economy context.

Research limitations

First, alternative mediators between role overload and emotional exhaustion were not identified. Second, other dimensions of role overload and their impacts were not examined. Lastly, this study did not explore broader perspectives beyond algorithms.

Practical implications

This study recommends that managers reduce role overload ex ante in terms of clarifying responsibilities and obligations, providing substantive resource support and rationalizing order allocation, respectively.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 23 July 2018

Wenxiong Wang, Lihong Yu, Wei Zhou, David W. Marcouiller and Bin Luo

Effective farmer participation in the rural land consolidation process has become increasingly important because it improves results in rural land consolidation and land use…

Abstract

Purpose

Effective farmer participation in the rural land consolidation process has become increasingly important because it improves results in rural land consolidation and land use efficiency. The purpose of this paper is to examine the mechanism of farmers’ effective participation in Chinese rural land consolidation.

Design/methodology/approach

The authors empirically assess farmers’ effective participation in the rural land consolidation process in ten counties of China’s Hubei province. Focusing on an effective decision-making model, the authors comprehensively evaluated farmer participation using surveys that incorporated an index system and analyzed survey results using a structural equation model to examine factors that influenced farmer’s effective participation.

Findings

The results of the study suggest that the correlations between farmers’ effective participation and the impacting factors the authors proposed were particularly strong. In addition, participation ability, participation opportunity and participation incentive are strongly associated with effective farmer participation. Thus, the authors highlight that incentives should be provided to encourage farmers’ effective participation in rural land consolidation.

Research limitations/implications

Because of the chosen approach and the set of the research object, the geographic context of the empirical survey work was limited; furthermore, the authors only studied the influencing factors at the individual level, leaving the interaction effects between governmental factors and farmer individual factors inadequately explained.

Originality/value

Despite those limitations, these results serve as an important reference for government agencies and stakeholder groups in rural land consolidation decision making.

Details

China Agricultural Economic Review, vol. 11 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

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