Leveraging Market Research Techniques in IS – A Review of Conjoint Analysis in IS Research. Naous, D. & Legner, C. In Thirty eighth International Conference of Information Systems, pages 19, 2017. abstract bibtex With the increasing importance of mass-market information systems (IS), understanding individual user preferences for IS design and adoption is essential. However, this has been a challenging task due to the complexity of balancing functional, non-functional, and economic requirements. Conjoint analysis (CA), from marketing research, estimates user preferences by measuring tradeoffs between products attributes. Although the number of studies applying CA in IS has increased in the past years, we still lack fundamental discussion on its use in our discipline. We review the existing CA studies in IS with regard to the application areas and methodological choices along the CA procedure. Based on this review, we develop a reference framework for application areas in IS that serves as foundation for future studies. We argue that CA can be leveraged in requirements management, business model design, and systems evaluation. As future research opportunities, we see domain-specific adaptations e.g., user preference models.
@inproceedings{naous_leveraging_2017,
title = {Leveraging {Market} {Research} {Techniques} in {IS} – {A} {Review} of {Conjoint} {Analysis} in {IS} {Research}},
abstract = {With the increasing importance of mass-market information systems (IS), understanding individual user preferences for IS design and adoption is essential. However, this has been a challenging task due to the complexity of balancing functional, non-functional, and economic requirements. Conjoint analysis (CA), from marketing research, estimates user preferences by measuring tradeoffs between products attributes. Although the number of studies applying CA in IS has increased in the past years, we still lack fundamental discussion on its use in our discipline. We review the existing CA studies in IS with regard to the application areas and methodological choices along the CA procedure. Based on this review, we develop a reference framework for application areas in IS that serves as foundation for future studies. We argue that CA can be leveraged in requirements management, business model design, and systems evaluation. As future research opportunities, we see domain-specific adaptations e.g., user preference models.},
language = {en},
booktitle = {Thirty eighth {International} {Conference} of {Information} {Systems}},
author = {Naous, Dana and Legner, Christine},
year = {2017},
keywords = {⛔ No DOI found},
pages = {19},
}
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