Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions
By Ilias O. Pappas, Panos E. Kourouthanassis, Michail N. Giannakos, V. Chrissikopoulos. 2016
473 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Sociology and Political Science, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/adb756411c3089a8f643f2a813edcb9aac5d710f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Hossein Olya
- Carla Ruiz-Mafé
- Rafael Curras-Perez
- Heesup Han
- M. Czinkota
- Suraksha Gupta
- Pantea Foroudi
- Naresh K. Malhotra
In Sociology and Political Science
- Heesup Han
- Hossein Olya
- Carla Ruiz-Mafé
- Rafael Curras-Perez
- M. Czinkota
- Suraksha Gupta
- Pantea Foroudi
- Naresh K. Malhotra
In Strategy and Management
- Hossein Olya
- Carla Ruiz-Mafé
- Rafael Curras-Perez
- Heesup Han
- M. Czinkota
- Suraksha Gupta
- Pantea Foroudi
- Naresh K. Malhotra
Citations in the corpus
- The role of emotions and conflicting online reviews on consumers' purchase intentions (2018, methodology): “The use of fsQCA addresses the inadequacy of regression-based techniques for dealing with the complex causality surrounding consumers’ online behavior (Pappas et al., 2016), and thus it is most appropriate for analyzing the study’s research propositions (Ragin, 2008).”
- Antecedents of Space Traveler Behavioral Intention (2020, methodology): “Exploratory factor analysis (EFA) is conducted to check the scale composition of the items (Pappas et al. 2016).”
- Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation (2018, unknown): “Second, using the CAB framework, this research echoes Pappas et al.’s (2016) finding that the causes of online shopping are complex and usually involve both cognitive and emotional components.”
- Marketing innovation: A consequence of competitiveness (2016, methodology): “…the first studies to examine the configural analysis based on individual-level data and according to scholars (Leischnig & Kasper-Brauer, 2015; Pappas et al., 2015), the application of complexity theory in individual level phenomenamay be proven suitable for theory building (Pappas et al., 2015).”