Model of Acceptance with Peer Support: A Social Network Perspective to Understand Employees' System Use

By Tracy Ann Sykes, V. Venkatesh, Sanjay Gosain. MIS Q., 2009

562 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8fdb7e5f5bc7460ab2b706d9795039899b05bccc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. V. Venkatesh
2. James Y. L. Thong
3. Susan A. Brown
4. Frank K. Y. Chan
5. P. H. Hu
6. Hillol Bala
7. Paul M. Leonardi
8. Ofir Turel

In Information Systems and Management

1. V. Venkatesh
2. James Y. L. Thong
3. Frank K. Y. Chan
4. P. H. Hu
5. Hillol Bala
6. Susan A. Brown
7. Yogesh Kumar Dwivedi
8. Nripendra P. Rana

In Sociology and Political Science

1. V. Venkatesh
2. James Y. L. Thong
3. Frank K. Y. Chan
4. Susan A. Brown
5. P. H. Hu
6. Hillol Bala
7. Yogesh Kumar Dwivedi
8. Nripendra P. Rana

Citations in the corpus

• Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems (2013, background): “A potential future area of inquiry related to mixed methods research in IS relates to the increasing use of primary social network data (see Sykes et al. 2009).”
• A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, unknown): “On the other hand, researchers have also borrowed theories from other disciplines, such as social networks (e.g., Sykes et al. 2009), to examine individual technology adoption and use.”
• Managing Citizens' Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (2016, background): “Furthermore, with the emergence of social media and citizen responses to government actions based on input they receive from their networks on social media, social network approaches and associated constructs can be helpful in guiding investigations (e.g., Sykes 2015; Sykes et al. 2009, 2014).”
• Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context (2011, background): “Likewise, other constructs also have alternative conceptualisations that should be investigated: for instance, social influence can also be studied using a social network lens (see Sykes et al ., 2009).”
• When Does Technology Use Enable Network Change in Organizations? A Comparative Study of Feature Use and Shared Affordances (2013, background): “For this reason, it is not surprising that many researchers have explored how (Fulk 1993; Sykes et al. 2008) and when (Kane and Alavi 2008; Rice and Aydin 1991) informal advice networks affect the adoption and use of new information technologies.”