Yao-bin Lu
Information Systems and Management · 2009–2019
A researcher in the Science corpus: 12 papers; trusts 71 researchers and is trusted by 60 researchers here, as inferred from the citation graph.
Subfields
- Information Systems and Management — 221 citations into it; #125 of 3,842 by trust here, #80 by citations
- Sociology and Political Science — 210 citations into it; #802 of 22,756 by trust here, #491 by citations
- Organizational Behavior and Human Resource Management — 118 citations into it; #662 of 8,741 by trust here, #1,092 by citations
- Marketing — 60 citations into it
- Communication — 51 citations into it; #1,396 of 3,460 by trust here, #1,198 by citations
- Management Science and Operations Research — 27 citations into it
- Strategy and Management — 23 citations into it
- Social Psychology — 22 citations into it
Whom Yao-bin Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Gefen
- Fred D. Davis
- Anol Bhattacherjee
- V. Venkatesh
- Paul A. Pavlou
- Sulin Ba
- Detmar W. Straub Jr.
- Elena Karahanna
- Ji-Won Moon
- Ing-Long Wu
Who trusts Yao-bin Lu overall
- Ali Abdallah Alalwan
- Mayank Yadav
- Michael D. Williams
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Pushp P. Patil
- Hannah R. Marriott
- S. Sair
- Gomaa Mohamed Agag
- Lingling Gao
Papers from Yao-bin Lu's perspective
Ordered by how strongly the researchers Yao-bin Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
- E-commerce: the role of familiarity and trust
- Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (International Journal of Electronic Commerce)
- Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
- Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
- Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
- Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior (Information systems research)
- User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
- Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (Information systems research)
Their papers
- Integrating TTF and UTAUT to explain mobile banking user adoption (2010) — 1,715 citations
- Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective (2011) — 800 citations
- Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2012) — 720 citations
- Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services (2016) — 600 citations
- Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience (2011) — 375 citations
- From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers' purchase intention (2010) — 703 citations
- Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention (2012) — 411 citations
- What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences (2014) — 801 citations
- Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory (2009) — 714 citations
- Customers' purchase decision-making process in social commerce: A social learning perspective (2017) — 355 citations
- How do product recommendations affect impulse buying? An empirical study on WeChat social commerce (2019) — 331 citations
- Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: An empirical test of a multidimensional model (2012) — 389 citations