Hillol Bala

Sociology and Political Science · 2008–2013

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Hillol Bala trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. V. Venkatesh
  2. Fred D. Davis
  3. John C. Mingers
  4. Michael G. Morris
  5. G. Johns
  6. Anol Bhattacherjee
  7. Barbara H. Wixom
  8. Robin R. Vallacher
  9. Naresh K. Malhotra
  10. Wynne W. Chin

Who trusts Hillol Bala overall

  1. V. Venkatesh
  2. Said S. Al-gahtani
  3. K. Faqih
  4. Guido Makransky
  5. Francisco J. Liébana-Cabanillas
  6. James Y. L. Thong
  7. Eric N. Wiebe
  8. Izra Berakon
  9. M. Mailizar
  10. Hannu Verkasalo

Papers from Hillol Bala's perspective

Ordered by how strongly the researchers Hillol Bala trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  2. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  3. Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage (MIS Q.)
  4. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  5. Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
  6. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
  7. Validation Guidelines for IS Positivist Research (Communications of the Association for Information Systems)
  8. Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior (Information systems research)
  9. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
  10. Understanding Information Systems Continuance: An Expectation-Confirmation Model (MIS Q.)

Their papers