An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations

To, Pui‐Lai; Liao, Chechen; Chiang, Jerry C.; Shih, Mei‐Fen; Chang, Chun-Yuan

doi:10.1016/j.csi.2007.08.019

Cited by 65 publications

(35 citation statements)

References 25 publications

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“…For instance, Davis et al (1989) did not find any relation between PEU and attitude in the post training period. To et al (2008) also reported the same finding in a study on instant messaging technology use. Hu et al (1999) found no evidence to support the relation between PEU and attitude.…”

Section: Discussion Of Findingssupporting

confidence: 68%

Predicting Consumer Behavior: An Extension of Technology Acceptance Model

Galib¹,

Hammou²,

Steiger³

2018

IJMS

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The purpose of this study is to examine the predictive power of the technology acceptance model (TAM) on customer's intention to participate in the social customer relationship management (sCRM) program. Three additional constructs, perceived risk, user satisfaction, and perceived enjoyment were added to the original TAM. The collected data (n=264) were subject to statistical analysis of structural equation modeling, exploratory and confirmatory factor analysis. The study reveals that TAM by itself is not a robust model to predict customer's intention to participate in the sCRM program. Among the original constructs of TAM, attitude is the only determinant of intention. The impact of perceived usefulness and perceived ease of use was not significant on intention. Among the extended variables, perceived risk is the only variable that significantly influenced intention; perceived enjoyment and user satisfaction did not have any impact on intention. By applying the TAM to the sCRM, this study extends the overall body of the theoretical knowledge surrounding technology acceptance.

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Section: Discussion Of Findingssupporting

confidence: 68%

Predicting Consumer Behavior: An Extension of Technology Acceptance Model

Galib¹,

Hammou²,

Steiger³

2018

IJMS

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“…A number of studies have indicated that enjoyment is a particularly powerful predictor of use decision for technologies such as Facebook (Quan-Haase and Young, 2010), Sina Weibo (Wang et al, 2016), mass media (Nabi and Krcmar, 2004; Ledbetter et al, 2016), the telephone (O’Keefe and Sulanowski, 1995), websites (Van der Heijden, 2003), online shopping (Childers et al, 2001), and social networking sites (Chuang et al, 2017). Although we found no research on mobile video calling use acceptance in terms of perceived enjoyment, some previous studies have addressed the issue for other interpersonal communication media or technologies, such as instant messaging (Li et al, 2005; Lu and Xu, 2006). Several theoretical perspectives assert that enjoyment “might be the most basic motivation to consume any communication media” (Sherry, 2004; Griffin et al, 2015).…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 60%

Difference between Leisure and Work Contexts: The Roles of Perceived Enjoyment and Perceived Usefulness in Predicting Mobile Video Calling Use Acceptance

Zhou

Feng

2017

Front. Psychol.

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There is a rapidly growing body of literature on mobile video calling, which is a promising communication technology; however, little research has focused on user acceptance of mobile video calling, especially in different use contexts. This study explored factors (especially perceived enjoyment) influencing the intention of users to employ video calling in different contexts (a work and a leisure context) by applying the technology acceptance model (TAM) combined with the theory of planned behavior. The revised research model differentiated external factors (subjective norms and personal innovativeness) from internal factors (perceived usefulness, perceived ease of use (PEU), perceived enjoyment, and intention to use mobile video calling). In addition, the current study investigated predictors of perceived enjoyment across these two contexts. With the use of a structured questionnaire, participants were divided in two groups and completed self-report measures related to one context; a total of 386 student respondents’ responses were analyzed. The results indicated that users’ intentions were directly predicted by their perceived enjoyment of video calling (β ≥ 0.35) and the call’s perceived usefulness (β ≥ 0.27) and PEU (β = 0.13, only for the leisure context), which jointly explained at least 55.6% of the variance in use intention. In addition to the effects of these predictors on mobile video calling use acceptance, an assessment of the moderating effects of different contexts indicated that perceived enjoyment played a more important role in influencing intention for the leisure context, while perceived usefulness appeared to be more important for the work context. This study’s findings are important in that they provide strong support for the necessity of distinguishing among different types of contexts when predicting users’ intentions to use video calling. Furthermore, the results showed that perceived enjoyment was most significantly influenced by perceived usefulness (β ≥ 0.61), followed by PEU (β ≥ 0.13). In summary, the roles of core TAM variables (especially perceived enjoyment and perceived usefulness) and of external factors (subjective norms and personal innovativeness) differed between the leisure and work contexts. The implications of these findings are discussed.

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“…Subjective norm is defined as an individual evaluation that the performance question is approved or disapproved by a referred group which is deemed important to the individuals [1]. In our study, the PCA performed on subjective norm determinants has grouped Business Relations and Peer Influence in Factor 1 and Superior's Influence as Factor 2.…”

Section: ) Principal Component Analysis For Subjective Norm Variablesmentioning

confidence: 99%

“…The research model used is adopted from the research model of To et al as in [1] based on the Decomposed Theory of Planned Behaviour (DTPB) by Ajzen. According to this model, behavioral intention of users would be affected by attitude, subjective norm and perceived behavioral control.…”

Section: Research Modelmentioning

confidence: 99%

Understanding user behavior towards mobile messaging application use in support for banking system

Musa

Redzuan

2014

2014 3rd International Conference on User Science and Engineering (I-USEr)

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Recently, mobile communications services or known as Mobile Instant Messaging (MIM) applications have gained considerable interest within the social and research communities. The use has been expanded from a social messaging conversation between family and friends to the workplace. Some of the motivations to use MIM are such as the evolution and rise in smart phones, convenience and affordability of mobile data plans. It was observed that the trend to use the Mobile Messaging Application in the workplace a normal scenario. This is also true in a banking environment, especially for supporting Banking Systems. The aim of this study is to understand the behavior of the users towards using the MIM in support of Banking Systems. The study used quantitative method and was conducted through participants answering self-administered hardcopy questionnaire and also through soft copy questionnaire email invitation. The findings of the research have confirmed on few literature reviews on the technology used in workplace as supporting informal communication. These include the tasks performed and the advantages gained in using Mobile Messaging Application in the workplace based on the open and close ended questions responded. An interesting findings based on the data was the 11 factors studied in the proposed model upon the analysis using Principal Component Analysis revealed a reduction of 2 factors.

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An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations

Cited by 65 publications

References 25 publications

Predicting Consumer Behavior: An Extension of Technology Acceptance Model

Predicting Consumer Behavior: An Extension of Technology Acceptance Model

Difference between Leisure and Work Contexts: The Roles of Perceived Enjoyment and Perceived Usefulness in Predicting Mobile Video Calling Use Acceptance

Understanding user behavior towards mobile messaging application use in support for banking system

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