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Understanding the determinants of the intention to innovate with open government data among potential commercial innovators: a risk perspective

Zhenbin Yang (Ngee Ann Polytechnic, Singapore, Singapore)
Sangwook Ha (BNU-HKBU United International College, Zhuhai, China)
Atreyi Kankanhalli (National University of Singapore, Singapore, Singapore)
Sungyong Um (National University of Singapore, Singapore, Singapore)

Internet Research

ISSN: 1066-2243

Article publication date: 25 October 2022

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Abstract

Purpose

This study aims to examine factors influencing potential commercial innovators' intention to innovate with open government data (OGD) via a risk perspective.

Design/methodology/approach

The authors develop a theoretical model that explains how different forms of uncertainty (i.e. financial, technology, competitive, demand, and data) and their inter-relationships influence potential commercial innovators' intention to innovate with OGD. The model is tested using survey data collected from 144 potential commercial innovators from a developed Asian country.

Findings

The results suggest that all other forms of uncertainty, except competitive uncertainty, negatively influence potential commercial innovators' intention to innovate, mediated by their perceived risk of innovating with OGD. The results also show positive relationships between different forms of uncertainty, i.e. competitive and financial, demand and competitive, data and financial uncertainty.

Originality/value

This paper identifies major forms of innovation uncertainty, perceived risk, their inter-relationships, and impacts on the intention to innovate with OGD. It also finds support for a unique form of uncertainty for OGD innovation (i.e. data uncertainty).

Keywords

Citation

Yang, Z., Ha, S., Kankanhalli, A. and Um, S. (2022), "Understanding the determinants of the intention to innovate with open government data among potential commercial innovators: a risk perspective", Internet Research, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/INTR-07-2021-0463

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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