Platform Structures, Homing Preferences, and Homophilous Propensities in Online Social Networks

Kwon, Hyeokkoo Eric; Oh, Wonseok; Kim, Tae‐Kyung

doi:10.1080/07421222.2017.1373008

Cited by 42 publications

(37 citation statements)

References 55 publications

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“…Instead, our results concur that overloaded users are novelty-affinitive [49][50][51][52] , exhibit both heterophilous and homophilous behavior [53][54][55][56] , and are more responsive within reciprocal relationships 57,58 . The factors encoding these three social theories were found to be of relatively moderate importance, after recency and low popularity of the conversation initiator, leading us to the above conclusion.…”

Section: Resultssupporting

confidence: 73%

Inferring mechanisms of response prioritization on social media under information overload

Gunaratne

Rand

Garibay

2021

Sci Rep

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Human decision-making is subject to the biological limits of cognition. The fluidity of information propagation over online social media often leads users to experience information overload. This in turn affects which information received by users are processed and gain a response to, imposing constraints on volumes of, and participation in, information cascades. In this study, we investigate properties contributing to the visibility of online social media notifications by highly active users experiencing information overload via cross-platform social influence. We analyze simulations of a coupled agent-based model of information overload and the multi-action cascade model of conversation with evolutionary model discovery. Evolutionary model discovery automates mechanistic inference on agent-based models by enabling random forest importance analysis on genetically programmed agent-based model rules. The mechanisms of information overload have shown to contribute to a multitude of global properties of online information cascades. We investigate nine characteristics of online messages that may contribute to the prioritization of messages for response. Our results indicate that recency had the largest contribution to message visibility, with individuals prioritizing more recent notifications. Global popularity of the conversation originator had the second highest contribution, and reduced message visibility. Messages that presented opportunity for novel user interaction, yet high reciprocity showed to have relatively moderate contribution to message visibility. Finally, insights from the evolutionary model discovery results helped inform response prioritization rules, which improved the robustness and accuracy of the model of information overload.

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Section: Resultssupporting

confidence: 73%

Inferring mechanisms of response prioritization on social media under information overload

Gunaratne

Rand

Garibay

2021

Sci Rep

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“…We complement this body of work by examining preferences for active drivers and for those who have been inactive for more than six months. We also compare preferences between drivers who use more than one platform, also known as multi-homers [15,49,57], and those who use only one platform, known as single-homers. Finally, we compare preferences between drivers who have a primary job other than ride-hailing and those who work primarily for ride-hailing.…”

Section: Management Of Multi-sided Platformsmentioning

confidence: 99%

Drivers of Supplier Participation in Ride-Hailing Platforms

Hong

Bauer

Lee

et al. 2020

Journal of Management Information Systems

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“…Similarly, many banking customers own multiple credit or debit cards to optimize their payment experiences and maximize the benefits offered by card providers. Such behavior is also commonplace in the consumption of digital goods and services; users often engage with multiple social network services (SNSs) to amplify social utility (Cusumano, 2011;Kwon, Oh, & Kim, 2017). This phenomenon is known as "multi-homing" (Mantena & Saha, 2012;Rochet & Tirole, 2003).…”

Section: Research Backgroundmentioning

confidence: 99%

Impact of customers' digital banking adoption on hidden defection: A combined analytical–empirical approach

Son

Kwon

Tayi

et al. 2019

J of Ops Management

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The implementation of digital channels as avenues for economic transactions (e.g., online and mobile banking/FinTech) has shifted the paradigm of customer–bank interactions, providing unprecedented opportunities for both parties. The prevailing belief is that digital banking has several advantages, such as lower costs and higher information transferability for customers. These benefits can also promote competition between banks given customers' predilection for “multi‐homing,” or engagement with multiple banks. This study investigated the impact of customers' digital banking adoption on hidden defection, in which customers purchase financial products from competing banks instead of their primary banks. To this end, we developed an analytical model to provide insights into the effects of digital banking adoption while taking customers' multi‐homing behaviors into consideration. We then conducted a series of empirical analyses using comprehensive individual‐level transaction data to provide evidence of hidden defection. Our findings indicate that customers with higher loyalty exhibit greater hidden defection after digital banking adoption. Customers who engage primarily with personal‐service channels (e.g., branches) show stronger hidden defection than do self‐service channel (e.g., ATMs) users, and this effect is more prevalent among loyal customers. Our results provide valuable implications for omni‐channel services in a market characterized by multi‐homing behavior of customers.

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Platform Structures, Homing Preferences, and Homophilous Propensities in Online Social Networks

Cited by 42 publications

References 55 publications

Inferring mechanisms of response prioritization on social media under information overload

Inferring mechanisms of response prioritization on social media under information overload

Drivers of Supplier Participation in Ride-Hailing Platforms

Impact of customers' digital banking adoption on hidden defection: A combined analytical–empirical approach

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