Impact of personality on technology adoption: An empirical model

Vishwanath, Arun

doi:10.1002/asi.20169

Cited by 69 publications

(47 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Innovativeness was conceptualized by Midgley and Dowling (1978) as "the degree to which an individual is receptive to new ideas and makes innovative decisions" (p. 236). Vishwanath (2005) found that tolerance for novelty and tolerance for complexity significantly impacted innovativeness. It is reasonable to infer that an innovative person will re-examine traditional values before receiving new ideas and be inclined to take action to try and adopt the innovation.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Personality Traits Hierarchy of Online Shoppers

Chen¹

2011

IJMS

View full text Add to dashboard Cite

Over the past decade, B2C e-commerce has flourished and enjoyed a growth rate unrivaled by the traditional retail business. This study is meant to contribute to the underdeveloped area of traits study concerning online shoppers. Specifically, the hierarchical trait theory of the 3M Model is applied as the theoretical foundation of the research. SEM was employed to analyze the relationships between research constructs. Major findings include: (1) all five middle level traits, i.e. Innovativeness, Need for Cognition, Trust, Value Consciousness, and Buying Impulsiveness are related to Online Purchase Intention, (2) The Elemental Traits of Openness to Experience, Conscientiousness, Need for Arousal, and Need for Material are related to one or two middle level traits respectively. Moreover, this study empirically validated the Four-level Traits Hierarchical Model and demonstrated that traits can be the driving force behind human motivation and intention.

show abstract

Section: Research Model and Hypothesesmentioning

confidence: 99%

Personality Traits Hierarchy of Online Shoppers

Chen¹

2011

IJMS

View full text Add to dashboard Cite

show abstract

“…Ram and Jung (1994) suggest that "usage needs … tend to vary across consumers who adopt the product at different stages of the lifecycle" (p. 58) and empirically link novelty seeking with early adoption timing, or use innovativeness (see also Venkatesh and Vitalari 1986). Vishwanath (2005) explores preferences and adoption timing across a number of technology hardware products and finds that tolerance for novelty is tied to adoption timing, with early adopters being more tolerant of novelty, while Chau and Hui (1998) show a similar relationship in computer operating systems. This harkens back to Rogers' (2003) statement that early adopters need to handle ambiguity well, as novelty has been defined a key aspect of ambiguity (Budner 1962).…”

Section: Effects Of Early and Late Platform Adopters On Complementsmentioning

confidence: 99%

Demand Heterogeneity in Platform Markets: Implications for Complementors

Rietveld

Eggers

2018

Organization Science

159

138

View full text Add to dashboard Cite

meeting, and DRUID 17. We also thank Mary Tripsas and three anonymous reviewers for their time and valuable guidance, which led to a much improved version of the paper. We acknowledge three research assistants for their data collection efforts and Andy Webb for his insights on the UK video games industry. All mistakes are our own. AbstractWhile two-sided platforms (e.g., video game consoles) depend on complements (e.g., games) for their success, the success of complements is also influenced by platform-level dynamics. Research suggests that greater platform adoption benefits complements by providing more potential users, but this assumes that platform adopters are homogeneous. We build on extensive research exploring the heterogeneity between early and late platform adopters to identify counterintuitive dynamics for complements.Complements launched early in a platform's lifecycle face an audience entirely of early platform adopters, whereas later-launching complements face a mixed audience of both early and late adopters, and we argue that differences in preferences and behavior between early and late adopters affect whether complements will succeed and which types will be most successful. We explore these dynamics in the context of the console video game industry using a unique dataset of 2,918 video games released in the United Kingdom from 2000 to 2007. We show that despite the increase in the potential user pool as the platform evolves, video games launched later in the platform lifecycle realize lower sales than those launched earlier. While increased competition explains part of this effect, we show substantial evidence consistent with our theory of preference differences between early and late adopters. This includes the finding that the negative effect is stronger for novel games and that the gap between popular and less popular complements widens as later adopters move into the platform, consistent with late adopters being risk averse and seeking to avoid purchasing mistakes.

show abstract

“…Personality has drawn interest as a predictor perhaps because it has been shown to predict a number of different types of behavior that relate directly or indirectly to Internet usage. Examples include consumer behavior (Kassarjian, 1971), job performance (Barrick & Mount, 1991), academic achievement (Komarraju, Karau, Schmeck, & Avdic, 2011), team performance (Kichuk & Wiesner, 1997), media preferences (Kraaykampa and van Eijck (2005), Internet banking (Grabner-Kräuter & Faullant, 2008), technology adoption (Vishwanath, 2005), online reviews (Picazo-Velaa, Choua, Melchera, & Pearson, 2010), religiosity (Saroglou, 2002) and unethical Internet behavior (Karim, Hidayah, & Nor, 2009). …”

Section: Introductionmentioning

confidence: 99%

Personality and Internet usage: A large-scale representative study of young adults

Mark

Ganzach

2014

Computers in Human Behavior

View full text Add to dashboard Cite

a b s t r a c tStudies that have examined the relationship between personality and Internet use so far were largely conducted on the basis of small, non-representative samples, and have yielded conflicting results. In the current study we estimate the relationship of the Big 5 personality traits and Internet use in a large nationally representative U.S. sample of over 6900 young adults with average age of 26. Our results suggest that global Internet use is positively related to Extraversion, Neuroticism, and Conscientiousness. We also examine the relationship of the Big 5 with online communication, leisure, academic, and economic activities. Extraversion is correlated with the most different Internet activities. Our findings contrast with many of the relationships found in previous research which have used small, homogeneous samples. We discuss these differences in term of the size and type of samples which were used in previous research, in terms of the time periods of Internet development in which the research was conducted, and in terms of the Internet activities which were measured.

show abstract

Impact of personality on technology adoption: An empirical model

Cited by 69 publications

References 30 publications

Personality Traits Hierarchy of Online Shoppers

Personality Traits Hierarchy of Online Shoppers

Demand Heterogeneity in Platform Markets: Implications for Complementors

Personality and Internet usage: A large-scale representative study of young adults

Contact Info

Product

Resources

About