Oklahoma State University–Stillwater

About: Oklahoma State University–Stillwater is a education organization based out in Stillwater, Oklahoma, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 18267 authors who have published 36743 publications receiving 1107500 citations. The organization is also known as: Oklahoma State University & OKState.

Taking “Fun and Games” Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM)

Abstract: Hedonic-motivation systems (HMS) — systems used primarily to fulfill users’ intrinsic motivations — are the elephant in the room for IS research. Growth in HMS sales has outperformed utilitarian-motivation systems (UMS) sales for more than a decade, generating billions in revenue annually; yet IS research focuses mostly on UMS. In this study, we explain the role of intrinsic motivations in systems use and propose the Hedonic-Motivation System Adoption Model (HMSAM) to increase understanding of the adoption of HMS. Instead of a minor, general TAM extension, HMSAM is a HMS-specific system acceptance model grounded in an alternative theoretical perspective grounded in flow-based cognitive absorption (CA). The HMSAM extends van der Heijden’s (2004) model of hedonic system adoption by including CA as a key mediator of perceived ease of use (PEOU) and behavioral intentions to use (BIU) hedonic-motivation systems. Results from experiments involving 665 participants confirm that in a hedonic context, CA is a more powerful and appropriate predictor of BIU than PEOU or joy, and that the effect of PEOU on BIU is fully mediated by CA sub-constructs. This study lays a foundation, provides guidance, and opens up avenues for future HMS, UMS, and mixed-motivation system research.

Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates

Abstract: In this article, we investigate the effect of several commonly used experimental designs on willingness-to-pay in a Monte Carlo environment where true utility parameters are known. All experimental designs considered in this study generated unbiased valuation estimates. However, random designs or designs that explicitly incorporated attribute interactions generated more precise valuation estimates than main effects only designs. A key result of our analysis is that a large sample size can substitute for a poor experimental design. Overall, our results indicate that certain steps can be taken to achieve a manageably sized experimental design without sacrificing the credibility of welfare estimates.