Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use.

Author List: Nicolaou, Andreas I.; McKnight, D. Harrison;
Information Systems Research, 2006, Volume 17, Issue 4, Page 332-351.
This study examines the role of information quality in the success of initial phase interorganizational (I-O) data exchanges. We propose perceived information quality (PIQ) as a factor of perceived risk and trusting beliefs, which will directly affect intention to use the exchange. The study also proposes that two important system design factors--control transparency and outcome feedback--will incrementally influence PIQ. An empirical test of the model demonstrated that PIQ predicts trusting beliefs and perceived risk, which mediate the effects of PIQ on intention to use the exchange. Thus, PIQ constitutes an important indirect factor influencing exchange adoption. Furthermore, control transparency had a significant influence on PIQ, while outcome feedback had no significant incremental effect over that of control transparency. The study contributes to the literature by demonstrating the important role of PIQ in I-O systems adoption and by showing that information cues available to a user during an initial exchange session can help build trusting beliefs and mitigate perceived exchange risk. For managers of I-O exchanges, the study implies that building into the system appropriate control transparency mechanisms can increase the likelihood of exchange success.
Keywords: B2B electronic commerce; electronic data exchanges; interorganizational performance; perceived information quality; perceived risk; trust
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List of Topics

#46 0.202 perceived transparency control design enjoyment experience study diagnosticity improve features develop consequences showing user experiential providing antecedents interface effects economy
#172 0.150 trust trusting study online perceived beliefs e-commerce intention trustworthiness relationships benevolence initial importance trust-building examines discussed building future context transactions
#101 0.141 edi electronic data interchange b2b exchange exchanges interorganizational partners adoption transaction trading supplier factors business suppliers impact network commerce efficiency
#173 0.121 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#264 0.095 risk risks management associated managing financial appropriate losses expected future literature reduce loss approach alternative mitigate failures failure cause mitigation
#198 0.091 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#116 0.067 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#115 0.052 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing