Do Me a Solid? Information Asymmetry, Liking, and Compliance Gaining Online

Claes, Nathan; Hurley, Carolyn M.; Stefanone, Michael A.

doi:10.1109/hicss.2012.226

Cited by 4 publications

(2 citation statements)

References 47 publications

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“…Digital Transformation (DT) has become a new phenomenon with the rise of new digital technologies such as Internet of Things (IoT), big data, cloud computing, mobile systems and collaboration networks (Zimmermann, Schmidt, Bogner, Jugel, & Möhring, 2018). DT is defined as the use of new digital technologies that enables major business improvements and influences all aspects of customers' life (Reis, Amorim, Melão, & Matos, 2018).…”

Section: Introductionmentioning

confidence: 99%

Leveraging Enterprise Architecture for Digital Transformation Adaptation Challenges in Higher Education Institutions

et.al¹

2021

TURCOMAT

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The rapid proliferation and emergence of mobile, digital technologies, smartphone devices, big data, cloud computing and Internet of Things (IoT) have given rise to a new era of Digital Transformation (DT). DT is shifting not only technological advancements but also involves changes to business processes, organization structure, business models, managerial and culture. Higher Education Institution (HEI) are undergoing some forms of DT and is affected by these changes. Technology is changing the way many HEIs operate and to ensure survival, HEI needs to adapt to DT changes. However, HEIs are facing difficulties in adapting to DT. The main objective of this paper is to identify DT adaptation challenges in HEI based on literature review. Result from the literature review lists the HEI DT adaptation challenges and Enterprise Architecture(EA) is identified as a facilitator and enabler to support DT initiatives.

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Section: Introductionmentioning

confidence: 99%

Leveraging Enterprise Architecture for Digital Transformation Adaptation Challenges in Higher Education Institutions

et.al¹

2021

TURCOMAT

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“…Thus systematic differences in language content would be observed. Recent research has revealed potential for a variety of explanations pertaining to the link between information asymmetry given that asymmetric information can be leveraged to produce interpersonal attraction (Hancock, Toma, & Fenner, 2008) and compliance (Claes, Hurley, & Stefanone, 2012).…”

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confidence: 99%

Information asymmetry and social exchange: exploring compliance gaining online

Stefanone

Hurley²,

Egnoto

et al. 2014

Information, Communication & Society

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Proliferation of social media has increased the amount of personal information available about users online, and this information is increasingly available to anyone including advertisers and other (unknown) users. Having knowledge about others creates information asymmetries that can be used strategically in compliance gaining scenarios. In an online text-based interaction, 66 (31 male and 35 female) same-sex dyads engaged in conversation with one partner tasked in gaining his partner's compliance. When the persuading partner benefited from information asymmetry, he was more successful at getting his conversation partner to comply with requests (42% success rate vs. 9% in the control condition). Text analysis using Linguistic Inquiry and Word Count indicates that while asymmetry affected conversational topics, compliance was linked to linguistic style -not content -as well as individual differences such as sex and behavioral sensitivity. This study demonstrates how individuals might utilize publicly available information about others in conversation to achieve self-serving goals. Implications for information sharing online are discussed.Traditional mass media -like television and radio -connect individuals globally through information sharing about news and events. Technological innovation in the form of new and social media platforms has shifted the direction of information flow such that our roles have shifted from content consumers to producers. Web blogs and social network sites (SNSs) are prime examples of platforms that enable users to self-disclose high levels of personal information and push this content to large and often anonymous audiences (Stefanone, Lackaff, & Rosen, 2010), which raises questions about possible information asymmetric situations.Facebook strategically leverages a host of information about users, as its business model allows advertisers pay premiums for the ability to direct targeted ads to Facebook (2013) users based on data gathered from their profiles and from patterns of information found on those users' 'friends' profiles. Users accept the terms of this relationship because it is perceived as an equal exchange as users are allowed free access to the social media platform. In reality, sites like Facebook are providing standardized and publicly accessible databases of user preferences and behavior -including where they live, favorite hobbies, relationship status, etc. -that

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This Is A Lemon and This Is Not – Was uns Künstliche Intelligenz über unsere Nutzer sagen kann

Lamprecht

Robra-Bissantz

2021

Künstliche Intelligenz Im Dienstleistungsmanagement

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Do Me a Solid? Information Asymmetry, Liking, and Compliance Gaining Online

Cited by 4 publications

References 47 publications

Leveraging Enterprise Architecture for Digital Transformation Adaptation Challenges in Higher Education Institutions

Leveraging Enterprise Architecture for Digital Transformation Adaptation Challenges in Higher Education Institutions

Information asymmetry and social exchange: exploring compliance gaining online

This Is A Lemon and This Is Not – Was uns Künstliche Intelligenz über unsere Nutzer sagen kann

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