Developing a Framework for Effective Digital Nudges in Online Shopping: A Systematic Literature Review
Volume 28, Issue 3, October 2024, Pages 179-208
Mohammadreza Asadollahi; Seyed Reza Seyed Javadin; Mohsen Nazari
Abstract With the growing popularity of online shopping, new challenges have emerged for consumers in choosing and purchasing the right products. Digital nudges, as innovative solutions, can help consumers make more informed and rational decisions in the online shopping process. Therefore, this research aims to develop a framework for effective digital nudges in online shopping using a systematic literature review approach. The research method is qualitative and uses a systematic literature review approach. In this study, 255 articles were reviewed and finally, after several screening stages, 34 articles were selected and evaluated for final analysis. The research results show that digital nudges fall into four main categories: "Decision Information", "Decision Structure", "Decision Assistance" and "Social Decision Prompt". In the "Decision Information" category, nudges based on information, biases and cognitive effects, visual presentation and decision architecture were identified. In the "Decision Structure" category, factors such as complexity and structure of decision making, defaults and pre-selections, reinforcement and behavioral motivation, commitment and consistency, effort and cognitive load, substitution and change, cognitive and behavioral drivers, and monitoring and feedback were identified. In the "Decision Assistance" category, factors such as marketing and consumer behavior, psychological and economic theories, social influence and psychology, cognitive and exploratory biases, decision and information processing, and action and behavioral change were identified.Finally, in the "Social Decision Prompt" category, factors such as behavioral reinforcement, persuasion and social psychology, cognitive biases, motivational techniques, and focusing and highlighting decision were identified.
Developing a Conceptual Model for Coopetition Strategy in Engineering Services Industry in Iran
Volume 25, Issue 1, April 2021, Pages 137-161
Mohammad Brujerdi; Hashem Aghazadeh; Mohsen Nazari
Abstract Coopetition strategy is a relationship in which collaboration and competition co-exist, to create value in cooperation with their competitors and to appropriate a share of that value themselves in an all-win scenario. The focus of this study is to investigate the concept of competitive collaboration in the engineering services industry. In this regard, one of the innovations of the present study is to try to design a conceptual model for this strategy and then to modify it based on the Iranian engineering services. Using grounded theory, methodology as a qualitative method based on primary data of 12 in-depth interviews with experts in the field, a theoretical framework was formulated regarding the systematic view of Strauss and Corbin. The research data were analyzed in three stages: open coding (650 descriptive codes), axial coding and selective coding. The findings show that the final model consists of 6 main categories, 14 subcategories, and 98 abstract concepts. By gathering the data and evidence from analysis of inter-firm level, a conceptual model relationship for coopetition strategy in the field of engineering services. The research findings show that engineering services managers and policymakers need to pay attention to all categories of causal conditions, intervening conditions, contextual conditions, strategies and outcomes of competitive collaboration.