V
Vijay Khatri
Researcher at Indiana University
Publications - 44
Citations - 1512
Vijay Khatri is an academic researcher from Indiana University. The author has contributed to research in topics: Conceptual schema & Conceptual model. The author has an hindex of 15, co-authored 43 publications receiving 1335 citations. Previous affiliations of Vijay Khatri include University of Arizona.
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Designing data governance
Vijay Khatri,Carol V. Brown +1 more
TL;DR: An overall framework for data governance is provided that can be used by researchers to focus on important data governance issues, and by practitioners to develop an effective data governance approach, strategy and design.
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Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge
TL;DR: The study examines the effects of both IS and application domain knowledge on different types of schema understanding tasks: syntactic and semantic comprehension tasks and schema-based problem-solving tasks, finding that IS domain knowledge is important in the solution of all types of conceptual schemaUnderstanding tasks in both familiar and unfamiliar applications domains.
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Usability of Online Services: The Role of Technology Readiness and Context*
TL;DR: Drawing upon research in consumer behavior concerning consumer beliefs about technology, an alternative way to describe customers based on psychographic characteristics is deployed to segment online customers based upon underlying positive and negative technology beliefs.
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Business analytics: Why now and what next?
Frank Acito,Vijay Khatri +1 more
TL;DR: This Guest Editors’ Perspective presents a structural framework for deriving value from business analytics, and introduces three special articles that provide in-depth insights regarding how business analytics is being employed in the management of healthcare, accounting, and supply chains.
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Augmenting a conceptual model with geospatiotemporal annotations
TL;DR: This work proposes an annotation-based approach that allows a database designer to focus first on nontemporal and nongeospatial aspects of the application and, subsequently, augment the conceptual schema with geospatiotemporal annotations (i.e., "when" and "where").