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Das, Samar; Echambadi, Rajagopal; McCardle, Michael; Luckett, Michael

doi:10.1023/a:1027448801656

Cited by 61 publications

(27 citation statements)

References 41 publications

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“…It may also be that these three kinds of beliefs share a common antecedent and have a spurious relationship. For example, need for cognition, or individuals' inclination to engage in effortful thinking, is distal predictor seeking intention (Bailey, 1997;Das, Echambadi, McCardle, & Luckett, 2003;Hughes, Rowe, Batey, & Lee, 2012), and correlates with attitude toward science (Feist, 2012). Whatever the relationship, current results suggest that the influence of attitude toward seeking is completely mediated, at least in the context of science videos on YouTube.…”

Section: Seeking As Reasoned Actionmentioning

confidence: 66%

Motivations to seek science videos on YouTube: free-choice learning in a connected society

Rosenthal¹

2017

International Journal of Science Education, Part B

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Do individuals use video sharing sites in their free time to learn about science, and if so, why? This study takes a preliminary look at individual differences that motivate online science video seeking. Among 150 Singapore university undergraduates and 123 Singapore Internet users surveyed, most reported using YouTube during the previous week, and one-third reported using it to watch science videos. Hierarchical regression analysis explained 55% of the variance in their intention to seek science videos during the subsequent week. Significant predictors of interest were seeking-related subjective norm, enjoyment of science, and informational orientation to YouTube. Although these results do not distinguish YouTube from other venues of informal science learning, they help characterize YouTube as such a venue and have novel implications for developing online video content to promote science learning in everyday life.

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Section: Seeking As Reasoned Actionmentioning

confidence: 66%

Motivations to seek science videos on YouTube: free-choice learning in a connected society

Rosenthal¹

2017

International Journal of Science Education, Part B

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“…Additionally, differences in study findings could be caused by differences in the measurement scales used (e.g., Bosnjak et al [38] used a German 22-item short version and McElroy et al [46] used the full 240-item Revised Neuroticism-Extraversion-Openness (NEO) Personality Inventory). We found that in addition to Big Five and MBTI factors, some research studied several other high-level traits, such as trust [29,48,59], as well as fine-grained traits, such as innovativeness [27,43,62]. Thus, our review reveals that conceptualization of a customer's personality exhibits great variance in the extant literature.…”

Section: Summary Of the Main Findingsmentioning

confidence: 87%

“…Only testing indirect effects, Das et al [59] found a full-mediation effect of concern towards web security on the relationship between trust and online purchase intentions (survey, n = 372, USA). The researchers concluded that the lower a person's trust, the greater their concern with web security, which negatively affects their online purchasing intentions.…”

Section: Further Personality Traits and Their Influence On Channel Choicementioning

confidence: 99%

Influence of Personality Traits on Choice of Retail Purchasing Channel: Literature Review and Research Agenda

Hermes

Riedl

2021

JTAER

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Consumers can choose to buy products through various retail channels (e.g., online or in-store), resulting in a need for retailers to provide a well-integrated shopping experience. However, individual factors, such as a customer’s personality, can influence how a channel is perceived and, as such, can alter their subsequent behavior. Thus, it is critical for retailers to better understand personality-related influences and how these can affect a customer’s purchase channel decision. Against this background, the purpose of this structured review is to analyze the extant literature on the influences of personality traits on purchasing channel decisions. After extensive initial screening, 24 papers published in 2003–2021 were included in the analysis and synthesis phase of this literature review. The results show how personality traits (including Big Five factors and more fine-grained factors like playfulness) influence the choice of retail purchasing channels. Among other results, we find that online shopping intentions have been studied most as an outcome variable and that, in contrast to people high in openness to experience, people high in agreeableness are less likely to shop online. While we synthesize findings in the domains of mobile commerce, social commerce, mall shopping, and augmented and virtual reality as well, little research has compared the effects of personality traits on multiple channels. Based on our findings, we discuss managerial implications as well as directions for future research which are described in the form of a research agenda.

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“…Information processing increases as interactivity increases, an interactive website will result in an increase in information processing for low-NFC individuals (Sicilia et al, 2005). NFC has a strong effect on information seeking behavior on the Web (Das et al, 2003). Studies also show that consumers search the Web for product and price information lead to purchases on the Web (Donthu and Garcia, 1999).…”

Section: Need For Cognitionmentioning

confidence: 99%

“…Since persons high in a need for cognition are hypothesized to demonstrate a willingness to engage in effortful cognitive activity, research has shown a positive and significant relationship between need for cognition and Web usage (Das et al, 2003). However, a person high on impulse buying tendency, who shops spontaneously and unreflectively (Rook and Fisher, 1995), may lack the ability to thinking before purchasing.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Personality Traits Hierarchy of Online Shoppers

Chen¹

2011

IJMS

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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.

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Untitled

Cited by 61 publications

References 41 publications

Motivations to seek science videos on YouTube: free-choice learning in a connected society

Motivations to seek science videos on YouTube: free-choice learning in a connected society

Influence of Personality Traits on Choice of Retail Purchasing Channel: Literature Review and Research Agenda

Personality Traits Hierarchy of Online Shoppers

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