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Sun J, Jiao H. Emerging IT investments and firm performance: a perspective of the digital options. CHINESE MANAGEMENT STUDIES 2023. [DOI: 10.1108/cms-09-2022-0335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Purpose
This study aims to explore the mediating effect of digital options on the relationship between emerging information technology investments (ITIs) and firm performance (FP). In particular, it analyses the performance impacts of investments in five emerging technologies of IT or non-IT firms.
Design/methodology/approach
Secondary data are collected from Chinese A-share listed companies from 2010 to 2018. The authors propose an econometric model focusing on the impact of ITIs on a firm’s market value and profit. A propensity score matching model is applied to control endogeneity.
Findings
The ITIs’ effect on FP is found to be completely mediated by digital options, and the reach of digital options plays a more positive role in the relationship between ITIs and Tobin’s Q, whereas the richness of digital options is stronger between ITIs and return on net assets (ROE). The group study shows that the impact of process technologies such as cloud computing and the Internet of Things has a more profound impact on Tobin’s Q, and the knowledge technologies represented by artificial intelligence, blockchain and big data strongly affect ROE. In addition, the positive relationship between ITIs and FP is unrelated to IT/non-IT firms.
Research limitations/implications
First, the data are based on 219 publicly announced emerging ITIs in China and thus may not be generalizable to other cultural/national contexts. Second, there is a lack of a large sample data set of emerging ITI information in China, and the duration of this study is constrained to the relatively short rise of emerging technologies.
Practical implications
This study provides firm decision-makers with practical implications. The results imply that the effect of ITIs on FP depends on digital options, so both IT firms (e.g., Big Tech giants) and non-IT firms (e.g., incumbents) should discover how to balance firm value and profit in their management of emerging technology investment projects with digital options thinking.
Originality/value
To the best of the authors’ knowledge, this is the first empirical study to investigate the relationship between ITIs and FP from the perspective of digital options, exploring five emerging technologies and considering firm life, size, and state ownership in a sample of Chinese listed firms.
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Davison RM. Impact and implications for practise. INFORMATION SYSTEMS JOURNAL 2022. [DOI: 10.1111/isj.12411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Robert M. Davison
- Department of Information Systems City University of Hong Kong Kowloon Tong Hong Kong
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Ng E, Pan SL. Competitive strategies for ensuring Fintech platform performance: Evidence from multiple case studies. INFORMATION SYSTEMS JOURNAL 2022. [DOI: 10.1111/isj.12406] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Evelyn Ng
- Discipline of Business Information Systems The University of Sydney Sydney New South Wales Australia
- School of Computing, Macquarie University Sydney New South Wales Australia
| | - Shan L. Pan
- School of Information System and Technology Management University of New South Wales Sydney New South Wales Australia
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Senyo PK, Gozman D, Karanasios S, Dacre N, Baba M. Moving away from trading on the margins: Economic empowerment of informal businesses through
FinTech. INFORMATION SYSTEMS JOURNAL 2022. [DOI: 10.1111/isj.12403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- P. K. Senyo
- Department of Decision Analytics and Risk, Southampton Business School University of Southampton Southampton UK
| | - Daniel Gozman
- Business Information Systems Research University of Sydney Business School, University of Sydney Sydney New South Wales Australia
- Business Informatics Systems, and Accounting, Henley Business School University of Reading Reading UK
| | - Stan Karanasios
- University of Queensland Business School University of Queensland Brisbane Queensland Australia
| | - Nicholas Dacre
- Department of Decision Analytics and Risk, Southampton Business School University of Southampton Southampton UK
| | - Melissa Baba
- Business Informatics Systems, and Accounting, Henley Business School University of Reading Reading UK
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