Author List: Sharma, Rajeev; Yetton, Philip; Crawford, Jeff;
MIS Quarterly, 2009, Volume 33, Issue 3, Page 473-A13.
This paper presents a meta-analysis-based technique to estimate the effect of common method variance on the validity of individual theories. The technique explains between-study variance in observed correlations as a function of the susceptibility to common method variance of the methods employed in individual studies. The technique extends to mono-method studies the concept of method variability underpinning the classic multitrait-multimethod technique. The application of the technique is demonstrated by analyzing the effect of common method variance on the observed correlations between perceived usefulness and usage in the technology acceptance model literature. Implications of the technique and the findings for future research are discussed.
Keywords: common method bias; common method variance; meta-analysis; perceived usefulness; system use; technology acceptance model; uage; use
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#147 0.262 process problem method technique experts using formation identification implicit analysis common proactive input improvements identify traditional stages identifying explicit setting
#209 0.256 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition
#99 0.177 perceived usefulness acceptance use technology ease model usage tam study beliefs intention user intentions users behavioral perceptions determinants constructs studies
#11 0.122 structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem
#292 0.106 information research literature systems framework review paper theoretical based potential future implications practice discussed current concept propositions findings provided extant