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Article
Publication date: 25 April 2024

Peiyuan Gao, Yongjian Li, Weihua Liu, Chaolun Yuan, Paul Tae Woo Lee and Shangsong Long

Considering rapid digitalization development, this study examines the impacts of digital technology innovation on social responsibility in platform enterprises.

Abstract

Purpose

Considering rapid digitalization development, this study examines the impacts of digital technology innovation on social responsibility in platform enterprises.

Design/methodology/approach

The study applies the event study method and cross-sectional regression analysis, taking 168 digital technology innovations for social responsibility issued by 88 listed platform enterprises from 2011 to 2022 to study the impact of digital technology innovations for social responsibility announcements of different announcement content and platform attributes on the stock market value of platform enterprises.

Findings

The results show that, first, the positive stock market reaction is produced on the same day as the digital technology innovation announcement. Second, the announcement of the platform’s public social responsibility and the announcement of co-innovation and radical innovation bring more positive stock market reactions. In addition, the announcements mentioned above issued by trading platforms bring more positive stock market reactions. Finally, the social responsibility attribution characteristics of the announcement did not have a significant differentiated impact on the stock market reaction.

Originality/value

Most scholars have studied digital technology innovation for social responsibility through modeling rather than second-hand data to empirically examine. This study uses second-hand data with the instrumental stakeholder theory to provide a new research perspective on platform social responsibility. In addition, in order to explore the different impacts of digital technology innovation on social responsibility, this study has classified digital technology innovation for social responsibility according to its social responsibility and digital technology innovation characteristics.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 23 May 2022

Weihua Liu, Yanjie Liang, Ming K. Lim, Shangsong Long and Xiaoran Shi

This study explores the influencing factors of smart supply chain innovation (SSCI) for going global companies and designs a theoretical framework.

Abstract

Purpose

This study explores the influencing factors of smart supply chain innovation (SSCI) for going global companies and designs a theoretical framework.

Design/methodology/approach

This paper is a multi-case study that includes a combination of exploratory and explanatory case studies.

Findings

First, the authors find that SSCI is embodied in product development and supply chain empowerment, which represent exploitative innovation and explorative innovation, respectively. Meanwhile, supply chain empowerment has a positive impact on product development. Second, the going global policy affects the transformation of supply chain empowerment to SSCI practices. Third, in terms of exploitative innovation, personalized demand positively affects SSCI through product development. Finally, explorative innovation, including emerging technology application and supply chain ecologicalization, has a positive effect on supply chain empowerment and thereby affects SSCI.

Originality/value

Supply chain innovation in the context of a smart economy has gained great popularity. This study sheds light on the influencing factors and mechanisms of SSCI from the exploitative and explorative aspects of innovations.

Details

The International Journal of Logistics Management, vol. 33 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

Open Access
Article
Publication date: 18 June 2019

Weihua Liu, Di Wang, Shangsong Long, Xinran Shen and Victor Shi

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research…

17450

Abstract

Purpose

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

Design/methodology/approach

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

Findings

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

Originality/value

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

Details

Modern Supply Chain Research and Applications, vol. 1 no. 1
Type: Research Article
ISSN: 2631-3871

Keywords

Article
Publication date: 21 July 2022

Chaolun Yuan, Weihua Liu, Gang Zhou, Xiaoran Shi, Shangsong Long, Zhixuan Chen and Xiaoyu Yan

This study aims to empirically examine the effect of supply chain innovation (SCI) announcements on shareholder value within the context of Industry 4.0 and Industry 5.0.

Abstract

Purpose

This study aims to empirically examine the effect of supply chain innovation (SCI) announcements on shareholder value within the context of Industry 4.0 and Industry 5.0.

Design/methodology/approach

This study uses an event study method to examine the effect of SCI announcements on shareholder value of the 156 listed companies in China.

Findings

First, SCI announcements have a positive effect on shareholder value. Second, SCI with an integrated form more positively affects shareholder value than SCI with an independent form. SCI at the strategy level more positively affects shareholder value than SCI at the operation level. Technology-type SCI more positively affects shareholder value than process-type SCI. Third, this study finds that investors pay more attention to the SCI of companies in the service industry than that of in the manufacturing industry. Finally, the post-hoc analysis finds that digital SCI more positively affects shareholder value than intelligent SCI.

Originality/value

First, most scholars use questionnaire data rather than second-hand data to conduct empirical research to explore the impact of SCI on performance. Second, although scholars focus on performance comprehensively, including operational, financial, relational and environmental performance, no scholars use an event study to explore the impact of SCI on the stock market. Third, no scholars have explored the differential impact of SCI in different industries. Forth, few scholars have classified SCI according to the characteristics to explore the differential impact of SCI. Finally, the differences between SCI of Industry 4.0 and SCI of Industry 5.0 have been described, but no scholars have used empirical research to explore the differences.

Details

Industrial Management & Data Systems, vol. 122 no. 8
Type: Research Article
ISSN: 0263-5577

Keywords

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