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Article
Publication date: 28 February 2024

Yao Chen, Liangqing Zhang, Meng Chen and Hefu Liu

Drawing on the knowledge-based view, this study investigates how IT–business alignment influences business model design via organizational learning and examines the moderating…

Abstract

Purpose

Drawing on the knowledge-based view, this study investigates how IT–business alignment influences business model design via organizational learning and examines the moderating role of data-driven culture in the relationship between IT–business alignment and business model design via organizational learning.

Design/methodology/approach

Using multi-respondent survey data collected from 597 Chinese firms, mediation and moderated mediation analyses were used to examine this study's hypotheses.

Findings

The mediation test results revealed organizational learning served as a mediator between IT–business alignment and two types of business model design (i.e. novelty- and efficiency-centered). In addition, data-driven culture strengthened the indirect effects of IT–business alignment on these two types of business model design via organizational learning.

Originality/value

This study extends current understandings of the relationship between IT–business alignment and business model design by revealing the mediating role of organizational learning and investigating its indirect effects under various degrees of data-driven culture. As such, it contributes to the literature on the business model and IT–business alignment and provides insights for managers seeking to achieve the expected business model design.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 28 November 2022

Teng Teng, Huifang Li, Ji Wu, Yang Zhou and Liangqing Zhang

In the sharing economy (SE), consumer misbehaviour is an operational challenge for platforms due to its negative outcomes. The psychological mechanism behind consumer misbehaviour…

Abstract

Purpose

In the sharing economy (SE), consumer misbehaviour is an operational challenge for platforms due to its negative outcomes. The psychological mechanism behind consumer misbehaviour remains unclear. As such, this research aims to investigate how consumers' sharing motivations affect their misbehaviours in the SE.

Design/methodology/approach

Drawing on motivated cognition theory, the authors establish a research model explaining the effects of consumers' sharing motivations on their cost–benefit analysis of misbehaviour and misbehaviour intention. A scenario-based online experiment is used to test the research hypotheses.

Findings

The results indicate that consumers' extrinsic and intrinsic motivations to share have different impacts on their perceived benefits and costs of potential misbehaviour, thereby influencing their misbehaviour intention.

Originality/value

This study reveals consumers' psychological mechanism underlying their misbehaviours in the SE and provides operational implications for platforms to help them effectively reduce consumer misbehaviours through preventive measures.

Details

Industrial Management & Data Systems, vol. 123 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 23 May 2023

Wenzhe Chen, Ning Shi, Qi Liang and Xiangchao Hao

Based on the background of the restricted stock has gradually replaced stock option and has become the mainstream equity incentive model in China, this paper aims to investigate…

Abstract

Purpose

Based on the background of the restricted stock has gradually replaced stock option and has become the mainstream equity incentive model in China, this paper aims to investigate the which factors affect the choice of equity incentive model, and the impacts of equity incentive model.

Design/methodology/approach

The theoretical analysis is based on the game theory between shareholders and top executives. The empirical analysis is based on the detailed data of equity incentives in China’s listed companies from 2006 to 2017; the logit method and least square method are implemented to estimate the regression coefficients and Black–Scholes options pricing model to estimate the value of restricted stock/option granted to the CEO.

Findings

This paper documents that enterprises with serious agency problems, high investment risks, high stock price synchronicity and great executive power are significantly and positively related to restricted stock. The main empirical findings still hold after several robust tests. In addition, restricted stock can significantly improve corporate performance when the performance evaluation index is strict and the validity period is long, while for the sample group with loose performance index and short validity period, restricted stock significantly reduces corporate performance.

Originality/value

This paper analyzes the “black box” of equity incentive model selection from the stakeholders’ game perspective by constructing a game theory model to investigate the reasons for the choice of equity incentive model in various situations, which enriches the research in this field. Moreover, this paper finds that restricted stock has both incentive and welfare characteristics, and the rationality of performance appraisal goals is the key factor leading to the difference in incentive effects. Overall, the research indicates that only well-designed equity incentive plans can improve corporate performance, which contributes to regulators and practitioners to form a rational understanding of restricted stock model and provides a reference for their decision-making.

Details

Nankai Business Review International, vol. 14 no. 3
Type: Research Article
ISSN: 2040-8749

Keywords

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