The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context

By Ping Zhang. MIS Q., 2013

356 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3ec0806f34036b01426050f212849770b0b37e01

How researchers see this paper

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

In Information Systems and Management

1. John S. Edwards
2. Yanqing Duan
3. Guangming Cao
4. Yogesh Kumar Dwivedi
5. Han Zhang
6. Samuel D. Bond
7. Dezhi Yin
8. Nripendra P. Rana

In Sociology and Political Science

1. Yogesh Kumar Dwivedi
2. Yanqing Duan
3. John S. Edwards
4. Guangming Cao
5. Han Zhang
6. Dezhi Yin
7. Samuel D. Bond
8. Nripendra P. Rana

In Human-Computer Interaction

1. John S. Edwards
2. Yanqing Duan
3. Yogesh Kumar Dwivedi
4. Han Zhang
5. Samuel D. Bond
6. Dezhi Yin
7. Guangming Cao

Citations in the corpus

• Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, methodology): “…the importance of understanding the affective dimension of human interaction with ITs (e.g. Agogo and Hess, 2018; Beaudry and Pinsonneault, 2005; Zhang, 2013), and our study ’ s proposition that personal wellbeing concern and personal development concern could play a significant role in…”
• Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews (2014, background): “Our work adds to a growing body of information systems research highlighting the role of emotions (Zhang 2013).”
• What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model (2020, unknown): “The measures for sadness were adapted from Zhang (2013).”