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.
This chapter is based on an empirical research study that attempts to gain an understanding of the social customers' behavior by identifying the factors that influence their decision to participate in social customer relationship management (CRM) programs. A social behavioral model (SBM) was developed in this study. The construction of the SBM was partly based on two popular models: technology acceptance model and theory of planned behavior. The data (n=305) were analyzed with exploratory factor analysis, confirmatory factor analysis, and path analysis. Attitude, usefulness, and perceived risk are the most influential factors in SBM. Other variables—social identity, perceived ease of use, perceived behavioral control, perceived enjoyment, and satisfaction—affected intention indirectly. Subjective norm and image did not affect intention directly or indirectly; therefore, these two variables were dropped from the SBM. The resultant conceptual framework provides a stronger theoretical basis for understanding the behavioral aspect of social CRM implementation.
This study investigates the factors that affect consumers' intentions to adopt mobile marketing and compare these factors between the USA and Jordan in the light of Hofstede's cultural dimensions. The collected data (n=250) were subject to statistical analysis including exploratory factor analysis, multiple regression, and Mann Whitney U test. The results showed that trust, observability and subjective norm, and relative advantage are the main factors affecting consumers' intentions to adopt mobile marketing, and trust had the strongest effect among the factors. Complexity had a positive significant effect only on Americans' intentions to adopt mobile marketing. The intention to adopt mobile marketing was higher in Jordan than that of the USA. The findings of this study provided several theoretical and practical implications and shed light on some factors that marketers may consider in developing their mobile marketing strategies. The study revealed that culture plays a significant role in peoples' technology adoption intentions.
The purpose of this study is to gain an understanding of the social customers' behavior by identifying the factors that influence their decision to participate in social customer relationship management (CRM) programs. A social behavioral model (SBM) was developed in this study. The construction of the SBM was partly based on two popular models: technology acceptance model and theory of planned behavior. The data (n=305) were analyzed with exploratory factor analysis, confirmatory factor analysis, and path analysis. Attitude and usefulness, and perceived risk are the two most influential factors in SBM. Three other variables—social identity, ease and control, and enjoyment and satisfaction—affected intention indirectly. Subjective norm and image did not affect intention directly or indirectly; therefore, these two variables were dropped from the SBM. The resultant conceptual framework provides a stronger theoretical basis for understanding the behavioral aspect of social CRM implementation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.