Stephen Wingreen staff profile

Associate ProfessorStephen Wingreen

Meremere 404
Internal Phone: 93975

Qualifications

Research Interests

Dr. Wingreen pursues scholarly interests in the fields of emerging technologies, technology and culture, blockchain and cryptocurrencies, information privacy and ethics, information system resilience, information technology professionals, applications of Q-methodology and Concourse Theory in the decision sciences, and occasional topics on electronic commerce trust, and enterprise systems. His research has appeared in Information Systems Journal, Human Resource Management, Journal of Information Technology, Journal of Business Ethics, International Journal of Electronic Commerce, Electronic Commerce Research, and Electronic Markets, to name a few.

Recent Publications

  • Jahanbin P., Sharma RS., Wingreen ST., Kshetri N. and Choo KR. (2023) Towards CRISP‐BC: 3TIC specification framework for Blockchain use‐cases. IET Blockchain 3(3): 159-168. http://dx.doi.org/10.1049/blc2.12038.
  • Jahanbin P., Wingreen SC., Sharma R., Ijadi B. and Reis MM. (2023) Enabling affordances of blockchain in agri-food supply chains: A value-driver framework using Q-methodology. International Journal of Innovation Studies 7(4): 307-325. http://dx.doi.org/10.1016/j.ijis.2023.08.001.
  • Akhtar-Danesh N. and Wingreen SC. (2022) How to analyze change in perception from paired Q-sorts. Communications in Statistics - Theory and Methods 51(16): 5681-5691. http://dx.doi.org/10.1080/03610926.2020.1845734.
  • Akhtar-Danesh N. and Wingreen SC. (2022) qpair: A command for analyzing paired Q-sorts in Q-methodology. Stata Journal 22(4): 884-907. http://dx.doi.org/10.1177/1536867X221141002.
  • Nurhas I., Jahanbin P., Pawlowski J., Wingreen S. and Geisler S. (2022) Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation: A Q Methodology Study. Human Behavior and Emerging Technologies 2022 http://dx.doi.org/10.1155/2022/8206503.