Understanding User Revisions When Using Information Systems Features: Adaptive System Use and Triggers

By Heshan Sun. MIS Q., 2012

319 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/c5374752a5a3aabc6cccbde8ee6c0d9434793ba0

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. Monideepa Tarafdar
2. Cary L. Cooper
3. Maryam Ghasemaghaei
4. Goran Calic
5. Jean-François Stich

In Information Systems and Management

1. Monideepa Tarafdar
2. Cary L. Cooper
3. Maryam Ghasemaghaei
4. Goran Calic
5. Jean-François Stich

In Sociology and Political Science

1. Monideepa Tarafdar
2. Cary L. Cooper
3. Maryam Ghasemaghaei
4. Goran Calic
5. Jean-François Stich
6. Staale Einarsen
7. Denise Salin
8. Pamela Lutgen-Sandvik

Citations in the corpus

• The technostress trifecta ‐ techno eustress, techno distress and design: Theoretical directions and an agenda for research (2019, methodology): “With respect to the latter, IS use‐related coping behaviours can focus on experimenting with different types of use such as—exploring and trying new features (Barki, Titah, & Boffo, 2007; Beaudry & Pinsonneault, 2005; Jasperson, Carter, & Zmud, 2005), using more features (Sun, 2012), and uncovering ”
• Assessing the impact of big data on firm innovation performance: Big data is not always better data (2020, methodology): “This approach has been used in many studies (e.g., Abbasi, Sarker, & Chiang, 2016; Akter et al., 2016; Ghasemaghaei & Calic, 2019a, 2019b; Sun, 2012).”