An empirical investigation of decision-making satisfaction in web-based decision support systems

By Pratyush Bharati, Abhijit Chaudhury. Decision Support Systems, 2004

420 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/0769ba9d522ff56c64ed994eab894c6ee56f6730

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In Information Systems and Management

In Management Information Systems

In Organizational Behavior and Human Resource Management

Citations in the corpus

Customer experience challenges: bringing together digital, physical and social realms (2018, background): “From a customer perspective, decision support systems (Bharati and Chaudhury, 2004) and high coping abilities are required (Gabbott et al.”
Developing a Price-Sensitive Recommender System to Improve Accuracy and Business Performance of Ecommerce Applications (2015, background): “Bharati and Chaudhury 12 studied how relevance, accuracy, completeness, and timeliness of recommendations have a significant effect on users’ decision making and satisfaction.”
Explaining the user experience of recommender systems (2012, methodology): “Moreover, the experience variables themselves may be structurally related to one another: Bharati and Chaudhury (2004), for instance, showed that the perceived quality of the system (system-EXP) positively influences the decision satisfaction (outcome-EXP).”
Towards business intelligence systems success: Effects of maturity and culture on analytical decision making (2012, background): “[3,23,29]), to our knowledge this is the first study to directly establish the effects of BISmaturity on the use of information in business processes through the inclusion of different segments of IQ and the interacting effect of an analytical decision-making culture.”
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact (2007, background): “Bharati and Chaudhury (2004) also observed a net positive effect of factors related to information quality (i.e., relevance, accuracy, completeness, and timeliness) on users’ decisionmaking satisfaction.”
The Impact of Website Quality Dimensions on Customer Satisfaction in the B2C E-commerce Context (2007, background): “Website design, access convenience, ease of use, and reliability are examples of qualities valued by online customers (DeLone & McLean, 2003; Bharati & Chaudhury, 2004).”
An empirical investigation of employee portal success (2010, methodology): “…we extended our literature review by analyzing studies focusing on the evaluation of web-based systems (WBS), which are similar to employee portals (e.g., Bharati and Chaudhury, 2004; Cheung and Lee, 2005; Garrity et al., 2005; Huang et al., 2004; McKinney et al., 2002; Molla and Licker, 2001).”