Why do people use social computing? An experiential perspective

Tehone, Abiyot B.; Zo, Hangjung; Ciganek, Andrew P.

doi:10.1108/intr-11-2013-0235

Cited by 6 publications

(5 citation statements)

References 75 publications

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“…Recent studies on online communities show that prior experience shapes actors' inferences about risks and benefits, and consequently their reactions (Kelley and Alden, 2016). In social networks, actor behavior depends on actors' prior experiences as they are not mandated to participate (Tehone et al, 2015). The question that yet needs to be addressed is whether this effect of prior experience is positive or negative in co-innovation networks.…”

Section: Perceived Risk and Prior Co-innovation Experiencementioning

confidence: 99%

“…Experience in terms of confirmation or disconfirmation of expectations is perhaps the most important determinant of behavior (Bhattacherjee and Premkumar, 2001;Ha et al, 2016;Khalifa and Liu, 2002;Tehone et al, 2015;Zhang et al, 2017). Behavioral intention is an emotional or rational response to the co-creation experience in online communities (Blasco-Arcas et al, 2014).…”

Section: Study Iii: Examining Perceived Co-innovation Risk and Actor Behaviormentioning

confidence: 99%

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A risk worth taking? The effects of risk and prior experience on co-innovation participation

Abhari

Davidson

Xiao

2018

INTR

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Purpose Co-innovation networks face the important challenge of cultivating collective innovation outcomes while also preserving the interests of individual contributors. Addressing this challenge requires first understanding and then managing individuals’ perception of co-innovation risks. The purpose of this paper is to provide a meaningful approach to addressing co-innovation risks using a valid and reliable model to assess actors’ perception of risk and examine its effect on actor co-innovation behavior. Design/methodology/approach The construct of co-innovation risk from the actor’s perspective was conceptualized based on a case study of a co-innovation network. The measurement items underwent a pilot study and a field study to establish the necessary reliability and validity. This paper also empirically assesses a nomological network that illustrates the effect of risk on co-innovation behavior with a moderating effect of prior experience. Findings Co-innovation actors perceived four different individual risks: time, social, intellectual property right, and financial. The empirical results from the field study demonstrate a high degree of confidence in both translation validity and criterion-related validity. Negative effects of perceived co-innovation risk on actors’ continuous intention to ideate, collaborate, and communicate in co-innovation were evident, but prior experience moderated these relationships. Originality/value Drawing from co-innovation and individual risk literature, this study develops and validates a general instrument to measure co-innovation risk from the actors’ perspective. The result is a reliable and parsimonious instrument with 15 items, which contributes significantly to future empirical investigations of co-innovation behavior on virtual platforms.

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Section: Perceived Risk and Prior Co-innovation Experiencementioning

confidence: 99%

Section: Study Iii: Examining Perceived Co-innovation Risk and Actor Behaviormentioning

confidence: 99%

A risk worth taking? The effects of risk and prior experience on co-innovation participation

Abhari

Davidson

Xiao

2018

INTR

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“…The importance of the platform evokes the idea of an ecosystem, which may be the key to the development of a smart device multi-screen strategy. An ecosystem based on a UX strategy will attract/retain consumers to mobile phone product lines, as well as encourage consumers to purchase other smart devices that operate in the same ecosystem (Tehone et al , 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Explicating user behavior toward multi-screen adoption and diffusion

Shin

Biocca

2017

Internet Research

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Purpose The purpose of this paper is to analyze user behavior toward multi-screen services by employing neural networks to predict overall customer satisfaction and to prioritize the factors that influence customer intentions. Design/methodology/approach Multi-screen experiences require a new approach incorporating multiple methods. A proposed multi-state analytic approach in which the research model is tested using structural equation modeling was utilized. The results were then used as inputs for a neural network model to predict multi-screen adoption. Findings The findings indicate that multi-screen quality significantly influences usability, which subsequently affects the adoption of the technology. Practical implications The policy and managerial implications of multi-screen development are discussed based on the models of acceptance and diffusion. Social implications The emergence of multi-screen services as well as the simultaneous and sequential engagement of users with multiple devices throughout the day challenges the ability of marketers to develop effective communication strategies. Originality/value This study provides an in-depth analysis and heuristic data regarding user drivers, market dynamics, and policy implications in the one-source multi-use ecosystem.

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“…Learning how to interact through computers ultimately depends “on the formation of an intimate relationship between the user and the system” (Tehone et al, 2015, p. 351). Facebook use is related to CMC competence for this reason.…”

Section: Social Enhancement and Social Compensationmentioning

confidence: 99%

Social Networking for Interpersonal Life: A Competence-Based Approach to the Rich Get Richer Hypothesis

Bouchillon

2020

Social Science Computer Review

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Online and offline interactions are thought to draw from separate but complementary skill sets. This explains why individuals who are competent interpersonally tend to get more out of social networking. At least part of what they already know about interacting applies online. But whether computer-based competence has some bearing on real-world interactional capability is still open to debate. The present study tested associations between computer-mediated communication (CMC) competence and interpersonal competence over time. Results indicate that CMC competence was related to interpersonal competence and interpersonal contributed back to CMC competence. The forms of competence become mutually reinforcing. Using Facebook contributed to CMC competence as well, but not to interpersonal competence, at least not directly. Facebook use was related to interpersonal competence indirectly, through increasing CMC competence over time. Social networking is associated with feeling more capable of interacting through computers, and online proficiency has some application in the real world. This is good news for a withdrawn society that has become less competent socially. Developing either form of competence should contribute to its counterpart.

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Why do people use social computing? An experiential perspective

Cited by 6 publications

References 75 publications

A risk worth taking? The effects of risk and prior experience on co-innovation participation

A risk worth taking? The effects of risk and prior experience on co-innovation participation

Explicating user behavior toward multi-screen adoption and diffusion

Social Networking for Interpersonal Life: A Competence-Based Approach to the Rich Get Richer Hypothesis

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