V Choudhury, E Karahanna - MIS quarterly, 2008 - JSTOR
… of control variables in the study as antecedents to both relativeadvantage and behavioral inten tion to use the web. First, for products such as auto insurance (our empirical context), …
… Majority of the empiricalstudies proved that higher innovative adoption possibility is related with higher competitive pressure. For instance, Zhu, Kraemer, and Xu (2003) investigated …
ML To, EWT Ngai - Industrial Management & Data Systems, 2006 - emerald.com
… The objective of this study was to establish a prediction model of adoption decisions of … empirical results generally supported the model. Our findings indicated that relativeadvantage …
S Shah Alam, MY Ali, MF Mohd. Jani - Journal of business …, 2011 - Taylor & Francis
… The findings show that relativeadvantage, compatibility, organizational readiness, manager’s characteristics, and security have significant impact on e-commerce adoption. The …
DA Karayanni - European Business Review, 2003 - emerald.com
… we present empirical analysis, followed by a discussion on the findings and the resulting managerial implications. The last part of this paper is concerned with the limitations of the study …
… Their studyempirically tested for a moderating relationship between … of relativeadvantage in this study have not focused on quality of decision. Rather, relativeadvantage reflects the …
RR Tan - Construction Management & Economics, 1996 - Taylor & Francis
… relative weight of the sources of competitive advantage will be different because the types of projects that the ®rms are focused to pursue are different. Therefore, the purpose is not to …
P Dubey - International Journal of Scientific & Technology …, 2020 - academia.edu
… Relativeadvantage is the degree in which the teachers compare new innovation with existing one, … Efficacy of the technology satisfaction model (TSM): an empiricalstudy. International …
… Our empiricalstudy reveals that this does not apply to big data adoption. We present an alternative perspective, emerging from the data, and identify a “Deployment Gap” in the Big Data …