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Divinus Oppong-Tawiah

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Divinus Oppong-Tawiah

Divinus Oppong-Tawiah

Assistant Professor of Operations Management and Information Systems

divinus@schulich.yorku.ca

(416) 736-2100 ext. 77954

Office: S337L SSB

  • Area of Expertise

    • Operations Management and Information Systems ›

    Research Interests

    • Business Analytics
    • Design Science
    • Digital Platforms
    • Network Science
    • Persuasion & Gamification
    Download CV
  • I’m an information systems researcher studying how new technologies evolve organizational forms and practices. I focus mostly on how sociality – social norms, social relationships and social influence mechanisms – unfolds and shapes digitally enabled organizational work. I study these concepts in contexts such as IT innovation in digital platforms; collective intelligence and open innovation in online communities; and sustainable, organizational IT practices. I use a variety of empirical methods: network science, data science, design science, econometric analysis, randomized controlled trials, and quasi experimental causal inference methods. Overall, my research aims to deepen understanding of how organizations leverage information systems and information technologies to innovate, compete and survive in the digital economy.

    I am always interested in discussing collaborations and future opportunities in these areas.

    Honours

    2018 ICIS Doctoral Consortium Fellow

    2017 OCIS Doctoral Consortium Fellow

    2017 Best Reviewer Award (SIGADIT at ICIS 2017)

    2014 Best Paper Award (Information Systems Division, ASAC 2014)

    2014 Grenville Smith Fellowship, McGill University (2014-2018)

    2013 Graduate Fellowship, Queen’s University (2013-2014)

    Recent Publications

    Oppong-Tawiah, D., Webster, J., Staples, S., Cameron, A.-F., Ortiz de Guinea, A. and Tam, H. (2020), "Developing a Gamified Mobile Application to Encourage Sustainable Energy Use in the Office", Journal of Business Research, 106, 388-405.

    Keywords
    • Design Science
    • Environment
    • Gamification
    • Green IS
    • Lean Development
    • Persuasive Design
    • Sustainability

    View Paper

    Abstract

    Faced with growing pressures to become more environmentally sustainable, many companies are exploring innovative ways to incorporate “green” practices into their business processes. We focus on employees and their pro-environmental behaviours in the workplace. Drawing on gamification and persuasive design principles, we utilized five design cycles to develop and test a system that tracks employees’ electricity usage on their computer-related equipment, engages them through a mobile application using a garden metaphor, and encourages them to reduce their energy consumption. The results of the design cycles built on each other, demonstrating that the system decreases employees’ electricity consumption and increases their motivation to continue engaging in pro-environmental behaviours. Possible extensions to the system were also explored. Reflecting on our experiences, seven guidelines emerged related to gamification design and the wider field of design science research. Limitations and future research directions for gamification and environmental sustainability research are discussed.

    Cameron, A.F., Oppong-Tawiah, D., Ortiz de Guinea, A., Staples, S. and Webster, J. (2019), "Encouraging Sustainable Energy Use in the Office with a Gamified Mobile Application", Journal of Business Research, In Press.

    Keywords
    • Design Science
    • Environment
    • Gamification
    • Green IS
    • Lean Development
    • Persuasive Design
    • Sustainability

    Open Access Download

    Abstract

    Faced with growing pressures to be more environmentally sustainable, many companies are increasingly exploring innovative ways to incorporate “green” practices into their business processes. We focus on employees and their potential contributions to organization-wide sustainability goals through their pro-environmental behaviours. This article reports on current progress with a multi-year study targeting the use of mobile media to encourage pro-environmental behaviours. To do so, we provide employees with feedback on their computer-based energy usage. We discuss our combined design science and experimental approach to developing and studying a mobile application with embedded persuasive characteristics. Our future interventions will use this persuasive media platform to examine the impact of social-psychological theories on encouraging more sustainable energy use by employees.

    Chan, Y.E. and Oppong-Tawiah, D. (2017), "The Influence of IT and Knowledge Capabilities on the Survival of University IT Startups", International Journal of Technoentrepreneurship, 3(2), 150-172.

    Keywords
    • Business Incubators
    • Dynamic Capabilities
    • Information Technology
    • IT Capabilities
    • IT Entrepreneurship
    • IT Startups
    • IT-Enabled Innovation
    • Knowledge Assets
    • Knowledge Capabilities
    • New Product Development
    • NPD
    • RBV
    • Resource-Based View
    • Startup Agility
    • Startup Performance
    • Startup Survival Rates
    • Technology Capabilities
    • University Incubators
    • University Startups

    View Paper

    Abstract

    Despite continuing interest in the role of university incubators in fostering IT entrepreneurship, empirical evidence on the link between incubation and IT startup survival has been mixed. This paper offers a fresh, unifying perspective by examining how university startups’ IT-enabled agility relates to their survival. We use the resource-based view, dynamic capabilities and new product development (NPD) literatures to create a conceptual framework of the impact of startup firms’ knowledge assets, technology capabilities, agility and innovation on their survival. Our framework suggests that startups’ survival rates increase when they use dynamic IT knowledge capabilities to pursue innovations with emerging technology capabilities in rapidly evolving IT markets. Implications for university incubator research, policy and management are discussed.

    Courses Taught

    MMAI 5040 Business Applications of Artificial Intelligence I
    OMIS 5110 Information Systems
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