108,737 research outputs found
The Importance of Transparency and Willingness to Share Personal Information
This study investigates the extent to which individuals are willing to share their sensitive personal information with companies. The study examines whether skepticism can influence willingness to share information. Additionally, it seeks to determine whether transparency can moderate the relationship between skepticism and willingness to share and whether 1) companies perceived motives, 2) individual’s prior privacy violations, 3) individuals’ propensity to take risks, and 4) individuals self-efficacy act as antecedents of skepticism. Partial Least Squares (PLS) regression is used to examine the relationships between all the factors. The findings indicate that skepticism does have a negative impact on willingness to share personal information and that transparency can reduce skepticis
When Do People Trust Their Social Groups?
Trust facilitates cooperation and supports positive outcomes in social
groups, including member satisfaction, information sharing, and task
performance. Extensive prior research has examined individuals' general
propensity to trust, as well as the factors that contribute to their trust in
specific groups. Here, we build on past work to present a comprehensive
framework for predicting trust in groups. By surveying 6,383 Facebook Groups
users about their trust attitudes and examining aggregated behavioral and
demographic data for these individuals, we show that (1) an individual's
propensity to trust is associated with how they trust their groups, (2)
smaller, closed, older, more exclusive, or more homogeneous groups are trusted
more, and (3) a group's overall friendship-network structure and an
individual's position within that structure can also predict trust. Last, we
demonstrate how group trust predicts outcomes at both individual and group
level such as the formation of new friendship ties.Comment: CHI 201
Internet banking acceptance model: Cross-market examination
This article proposes a revised technology acceptance model to measure consumers’
acceptance of Internet banking, the Internet Banking Acceptance Model (IBAM). Data
was collected from 618 university students in the United Kingdom and Saudi Arabia. The
results suggest the importance of attitude, such that attitude and behavioral intentions
emerge as a single factor, denoted as “attitudinal intentions” (AI). Structural equation
modeling confirms the fit of the model, in which perceived usefulness and trust fully
mediate the impact of subjective norms and perceived manageability on AI. The
invariance analysis demonstrates the psychometric equivalence of the IBAM
measurements between the two country groups. At the structural level, the influence of
trust and system usefulness on AI vary between the two countries, emphasizing the
potential role of cultures in IS adoption. The IBAM is robust and parsimonious,
explaining over 80% of AI
Money Walks: A Human-Centric Study on the Economics of Personal Mobile Data
In the context of a myriad of mobile apps which collect personally
identifiable information (PII) and a prospective market place of personal data,
we investigate a user-centric monetary valuation of mobile PII. During a 6-week
long user study in a living lab deployment with 60 participants, we collected
their daily valuations of 4 categories of mobile PII (communication, e.g.
phonecalls made/received, applications, e.g. time spent on different apps,
location and media, photos taken) at three levels of complexity (individual
data points, aggregated statistics and processed, i.e. meaningful
interpretations of the data). In order to obtain honest valuations, we employ a
reverse second price auction mechanism. Our findings show that the most
sensitive and valued category of personal information is location. We report
statistically significant associations between actual mobile usage, personal
dispositions, and bidding behavior. Finally, we outline key implications for
the design of mobile services and future markets of personal data.Comment: 15 pages, 2 figures. To appear in ACM International Joint Conference
on Pervasive and Ubiquitous Computing (Ubicomp 2014
Against Marrying a Stranger Marital Matchmaking Technologies in Saudi Arabia
Websites and applications that match and connect individuals for romantic
purposes are commonly used in the Western world. However, there have not been
many previous investigations focusing on cultural factors that affect the
adoption of similar technologies in religiously conservative non-Western
cultures. In this study, we examine the socio-technical and cultural factors
that influence the perceptions and use of matchmaking technologies in Saudi
Arabia. We report the methods and findings of interviews with 18 Saudi
nationals (nine males and nine females) with diverse demographics and
backgrounds. We provide qualitatively generated insights into the major themes
reported by our participants related to the common approaches to matchmaking,
the current role of technology, and concerns regarding matchmaking technologies
in this cultural con-text. We relate these themes to specific implications for
designing marital matchmaking technologies in Saudi Arabia and we outline
opportunities for future investigations.Comment: 11 pages, 1 table, DIS 201
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