Harnessing Recommendations from Weakly Linked Neighbors in Reputation-Based Trust Formation

Author(s):  
Sascha Hauke ◽  
Martin Pyka ◽  
Markus Borschbach ◽  
Dominik Heider
Keyword(s):  
2021 ◽  
pp. 097226292098454
Author(s):  
Vipul Patel ◽  
Richa Pandit

Today, all phases of consumers' buying process from pre-information search, evaluation of alternatives, order placing and post-purchase service are conducted in shopping apps installed in smartphones. A shopping app is omnipresent and is a powerful retail channel for retailers all over the world. However, the primary concern for many customers is that online shopping is not secure. This insecurity is more if customers have to purchase from an unfamiliar shopping app. Customers generally hesitate to purchase using unfamiliar shopping apps, unless they feel that the app is trustworthy. Based on the survey of 264 respondents, this study attempts to measure the impact of the quality of unfamiliar shopping apps on initial trust formation and subsequently, purchase intention. An attempt was also made to study the moderated mediation impact of risk attitude on the relationship between shopping app quality and initial trust formation. The findings of this paper may be of practical use for the online retailers by providing a better understanding of the adoption of unfamiliar shopping apps among prospective customers. It will also provide strategic inputs to online retailers to craft suitable strategies for the adoption of unfamiliar shopping apps.


2012 ◽  
Vol 20 (1) ◽  
pp. 39-58 ◽  
Author(s):  
Constance Elise Porter ◽  
Naveen Donthu ◽  
Andrew Baker

2019 ◽  
Author(s):  
Niccolo Pescetelli ◽  
Nick Yeung

In a world where ideas flow freely between people across multiple platforms, we often find ourselves relying on others' information without an objective standard to judge whether those opinions are accurate. The present study tests an agreement-in-confidence hypothesis of advice perception, which holds that internal metacognitive evaluations of decision confidence play an important functional role---namely being a learning signal that allows to learn about the reliability of others in the absence of feedback--- in the perception and use of social information, such as peers' advice. We propose that confidence can be used, computationally, to estimate advisors' trustworthiness and advice reliability. Specifically, these processes are hypothesized to be particularly important in situations where objective feedback is absent or difficult to acquire. Here, we use a judge-advisor system paradigm to precisely manipulate the profiles of virtual advisors whose opinions are provided to participants performing a perceptual decision making task. We find that when advisors' and participants' judgments are independent, people are able to discriminate subtle advice features, like confidence calibration, whether or not objective feedback is available. However, when observers' judgments (and judgment errors) are correlated---as is the case in many social contexts---predictable distortions can be observed between feedback and feedback-free scenarios. A simple model of advice reliability estimation, endowed with metacognitive insight, is able to explain key patterns of results observed in the human data. Finally, we use agent-based modeling to explore implications of these individual-level decision strategies for network-level patterns of trust and belief formation.


2018 ◽  
Vol 1 (2(14)) ◽  
pp. 8-15
Author(s):  
Serhiy Mykolaiovych Shkarlet ◽  
Maksym Viktorovych Dubyna ◽  
Olena Serhiivna Zhuk

Urgency of the research. In order to develop the financial services market, reform in this area needs to be implemented and measures should be taken to increase the level of trust among the key players in such a market. Target setting. The realities of Ukrainian system of state regulation of the financial intermediaries’ activity testify that the introduction of new ideas, concepts or provisions in this area requires the construction of an effective mechanism for their implementation. It should be clearly defined in the theoretical and methodological plane with the justification of its constituents. Actual scientific research and issues analysis. The works in the field of functioning of the financial services market should include the papers of such scientists: Bobrov Ye. A., Bondarenko Ye. P., Vyshyvana B. M., Voytenko O. M., Kovalenko Yu. M., Rekunenko І. І., Smagin V. L., Unets-Khodakivska V. P., Yuriya S. I., Yashchuk V. V., Asmundson I., Herring R., Stijn C., Wyman О. Uninvestigated parts of general matters defining. Despite the developments in this area, the theoretical and methodological principles of justification of the mechanism of forming confidence in the financial services market are not developed. The research objective. The purpose of the work is to develop the provisions for the creation and implementation of a mechanism for the establishment of a trust institution in the financial services market. The statement of basic materials. The importance of developing and implementing a mechanism of trust building in the financial services market for the further development of such a market is determined. The main elements of such a mechanism, the relationship between them are described and their essence and role in the process of building such a market are determined. Within the mechanism, its purpose, principles, functions, security units, methods and tools are identified. It is indicated that the mechanism should act in order to obtain concrete results, the types of which are defined. Conclusions. The article substantiates the principles of developing and implementing the mechanism of formation of the trust institution in the financial services market.


Trust is a crucial factor in personal as well as online exchanges due to their impersonal nature. In the information systems discipline, past research proposed and tested interpersonal trust formation as well as continuance in several contexts. Extending beyond interpersonal relationships, trust has been extrapolated as technology trust and applied to various technology contexts such as recommendation agents, inanimate software and objects. This paper presents a comprehensive review of interpersonal and technology trust constructs as applicable to ecommerce and technology contexts. Based on findings from past research this paper synthesizes research on interpersonal trust, trustworthiness and trust modes, and proposes a combined model of trust constructs. Based on the literature review and results from past research, this paper identifies an important gap in literature and proposes bases of technology trust constructs as an important contribution to literature. The theoretical and managerial implications are presented.


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