IEEE Transactions on Engineering Management, volume 67, issue 3, pages 697-711

Understanding the Antecedents and Outcomes of Facebook Privacy Behaviors: An Integrated Model

Publication typeJournal Article
Publication date2020-08-01
scimago Q1
wos Q1
SJR1.201
CiteScore10.3
Impact factor4.6
ISSN00189391, 15580040
Electrical and Electronic Engineering
Strategy and Management
Abstract
Privacy in online social networking (OSN) is more complex than in traditional online environments, such as e-commerce. In addition to simply limiting self-disclosure, OSN users can also use privacy settings and manage their network size to ensure privacy. This complexity calls for an enhanced OSN privacy model that more completely explains privacy behaviors. Combining the privacy calculus model with part of the uses and gratifications approach, this paper proposes an OSN privacy model that depicts both antecedents (i.e., privacy concern, trusting beliefs, and personal interest) and outcomes (i.e., gratifications obtained) of perceived privacy and use behaviors. Using an Empanel survey sample collected from U.S. Facebook users, results show that privacy concern influences network size, trust influences privacy setting use and use frequency, and personal interest influences each privacy and use behavior. Findings also show that the privacy behaviors' influence on gratifications obtained is complex in nature. A three-way interaction influences enjoyment and habit gratifications, and a two-way interaction influences bonding social capital. This paper provides opportunities for future research regarding OSN privacy behaviors, and it discusses practical implications.
Kordzadeh N., Warren J.
2018-02-05 citations by CoLab: 68 Abstract  
: Health consumers such as patients and caregivers often join virtual health communities (VHCs) to seek and provide health-related information and emotional support. To do so, they converse with other individuals in platforms such as public discussion boards and blogs. During these online conversations, people may communicate their personal health information (PHI) to others. A potential driver for this form of revealing PHI is the immediate positive outcomes that it can provide for contributors and the community. PHI disclosure, however, can entail privacy risks and concerns for community members, which may ultimately hamper their participation in those communities. Moreover, one’s emotional attachment to a VHC (namely, affective commitment) may influence one’s PHI sharing behaviors in that community. Thus, to understand how various factors impact communicating PHI in public VHC discussions, we drew on the privacy calculus model and the notion of affective commitment, developed a theoretical model, and empirically tested the model. To do so, we administered a survey to individuals from three different populations including students, faculty, and staff at a large university and visitors to clinics. We performed a set of hierarchical moderated multiple regressions on the dataset. The results revealed that privacy concerns along with expected personal and community-related outcomes of communicating PHI affected willingness to communicate PHI in public VHC discussions. The results, however, refuted the hypothesized direct and moderating effects of affective commitment on willingness to share PHI in these virtual platforms. The findings of this study provide contributions to research and practice.
Jordaan Y., Van Heerden G.
Computers in Human Behavior scimago Q1 wos Q1
2017-05-01 citations by CoLab: 31 Abstract  
PurposeThe paper aims to assess which aspects of online privacy concern and reported privacy behavior predict Facebook usage intensity. Design/methodology/approachThe data were obtained by collecting 598 surveys via a non-probability, convenience sampling method. A logistic regression was conducted to predict high and low Facebook usage intensity with regard to online privacy-related attributes. FindingsThe findings indicated that only five of the 16 online privacy-related items predicted Facebook usage intensity. The top three items related mainly to the control of online privacy. Research limitations/implicationsThe results of the study identify the most important privacy concern and privacy behavior aspects that Facebook should take note of. The significant predictors of Facebook usage intensity could provide insight into those privacy attributes, which are the most critical to address, when considering the continuous evolution of the online privacy model for Facebook. Originality/valueThe uses-and-gratification theory and the third-person theory provide a framework for understanding and describing the empirical results by referring to the tension experienced between online privacy concerns and online privacy behavior. The value of this study lies in the identification of the online privacy-related attributes that significantly predict Facebook usage intensity. Predicts high/low Facebook usage intensity of online privacy concern and behavior.Framework of uses-and-gratifications theory and third-person theory.Results identify the most important privacy concern and behavior aspects for Facebook.Loss of privacy control is strongest predictor of Facebook usage intensity.Results can assist Facebook to focus on relevant concern and behavior changes.
Chang S.E., Liu A.Y., Shen W.C.
Computers in Human Behavior scimago Q1 wos Q1
2017-04-01 citations by CoLab: 140 Abstract  
The innovative social networking services (SNS) provide people with versatile personal, commerce, and social applications. This study compares Facebook and LinkedIn to better understand factors affecting users' trust on SNS. Subject domain experts were invited to participate in qualitative research based interviews. Using the refined research model a quantitative empirical study was designed and conducted to investigate the relationships between important constructs including effort expectancy, social influence, privacy concern, perceived risk, trust, and continuance intention. Users' trust on SNS is mainly influenced by effort expectancy, social influence, and perceived risk. The impacts of influential factors are different between Facebook and LinkedIn user groups. Our empirical results imply that when the positive influences, such as effort expectancy of the online community, users from different SNS have different needs in social reputation, or high security compliance, in consideration of the negative influence of perceived risk to users' trust when continuing to use the SNS. This study presents a conceptual framework using extant theories and models to form a foundation for SNS incorporating the important factors of trust and privacy concerns. Effort expectancy and social influence affect users' intention more than privacy.Users' perceptions and trust between Facebook and LinkedIn are different.Users' perception of privacy affects trust, attitudes, and usage intention.
Hallam C., Zanella G.
Computers in Human Behavior scimago Q1 wos Q1
2017-03-01 citations by CoLab: 172 Abstract  
Technological innovations are increasingly helping people expand their social capital through online networks by offering new opportunities for sharing personal information. Online social networks are perceived to provide individuals new benefits and have led to a surge of personal data uploaded, stored, and shared. While privacy concerns are a major issue for many users of social networking sites, studies have shown that their information disclosing behavior does not align with their concerns. This gap between behavior and concern is called the privacy paradox. Several theories have been explored to explain this, but with inconsistent and incomplete results. This study investigates the paradox using a construal level theory lens. We show how a privacy breach, not yet experienced and psychologically distant, has less weight in everyday choices than more concrete and psychologically-near social networking activities and discuss the implications for research and practice. An explanation of the information privacy paradox using Construal Level Theory.Intentions mediate the relationship between privacy concerns and self-disclosure behavior.Social Rewards predict online behavior through near-future intentions.Privacy Concerns relate to distant-future intentions, but do not directly affect the online behavior.Privacy concerns indirectly affect online behavior through near-future intentions.
Wang L., Yan J., Lin J., Cui W.
2017-02-01 citations by CoLab: 82 Abstract  
This study investigated the antecedents of self-disclosure intention and self-disclosure honesty in mobile social networking.This study explored how privacy protective behaviours vary with interpersonal difference and contextual settings.We found that both monetary rewards and social rewards were positively related to self-disclosure intention, whereas only social rewards positively predict self-disclosure honesty.Application reputation and flow experience mitigate the perceptions of privacy concerns, and application compatibility and flow experience strengthen the perceptions of social rewards. Large amounts of customer data present rich business opportunities. Drawing on the privacy calculus model, this study investigates the antecedents of self-disclosure intention and self-disclosure honesty. We extend the privacy calculus model by exploring how the characteristics of service providers and the interpersonal difference of users influence privacy trade-off. An online empirical survey that involves 913 respondents was conducted. We find that both monetary rewards and social rewards positively predict self-disclosure intention, whereas only social rewards positively predict self-disclosure honesty. Moreover, application reputation and flow experience of users weaken the perceptions of privacy concern, and application compatibility and flow experience strengthen the perceptions of social rewards. Our results suggest that users place more weight on social rewards than on monetary rewards. Therefore, service providers are advised to create salient and distinct social rewards. They can also adopt distinct marketing strategies based on their profiles and the interpersonal difference of their users.
Pentina I., Zhang L., Bata H., Chen Y.
Computers in Human Behavior scimago Q1 wos Q1
2016-12-01 citations by CoLab: 146 Abstract  
This paper proposes and tests a conceptual model of private-information sensitive mobile app adoption utilizing privacy calculus approach. It also explores the role of personality in affecting perceived benefits of using mobile apps and compares the findings across two countries: the US and China. Irrespective of the cultural environment, millennial mobile app users download apps that require access to sensitive personal information in order to satisfy their informational and social (but not entertainment) needs. Perceived privacy concern does not influence adoption or future use of private-information sensitive apps. Extraversion and agreeableness are positively related to user perceptions of benefits obtained from using apps. Proposes a model of mobile app adoption based on the privacy calculus theory.Tests the model in US and China with different extent of mobile app adoption.Explores the role of personality factors in mobile app adoption.Supports the privacy paradox phenomenon in the mobile app context.
Chen R., Sharma S.K., Raghav Rao H.
Decision Support Systems scimago Q1 wos Q1
2016-10-01 citations by CoLab: 38 Abstract  
Continued site use by social networking site (SNS) members is important to the vitality of a SNS. Through the lens of Social Capital Theory, in this paper, we theorize the potential role of relational capital in cultivating members' continued site use. We posit that relational capital in the forms of trust, community identification, and reciprocity may affect site use yet in a non-uniform manner. Specifically, we contend that community identification directly affects a member's site use continuance and that perceived member trust and perceived member reciprocity indirectly affect one's continued site use through community identification as a mediator. Drawing upon supporting literature, we further suggest likely gender differences on the effects of relational capital. Finally, we explore important antecedents to relational capital on SNS. Analysis results of survey data from Facebook members attest to many of the research hypotheses. The current study contributes to the SNS literature and also informs practice. Communication identification positively affects one's continued site use.Perceived trust affects continued site use through community identification.Perceived reciprocity affects continued site use through community identification.Gender difference exists in the effect of perceived trust on community identification.
Kordzadeh N., Warren J., Seifi A.
2016-10-01 citations by CoLab: 43 Abstract  
We examined communicating personal health information (PHI) in virtual communities.Younger individuals are more concerned about their PHI privacy.Healthier individuals expect to receive less personal benefits of communicating PHI.Affective commitment will increase expected outcomes of communicating PHI. Over the past decade, social media technologies have become effective tools not only for entertainment, but also for online health communications. In virtual health communities (VHCs), the members often share their personal health information (PHI) with other members. These information exchanges provide benefits to both the information providers as well as the recipients. The PHI disclosure, however, may entail privacy concerns. Our study used the privacy calculus model to examine the trade-off between individuals' expected benefits and privacy concerns when disclosing PHI in social media environments. Our results showed that age, health status, and affective commitment influence the balance between the information disclosure drivers and barriers in the privacy calculus model. More specifically, we found that among members of VHCs, healthier people expect to receive fewer personal benefits of communicating PHI in social media environments. Moreover, individuals who are emotionally attached to online communities expect to both receive and provide more benefits while communicating PHI in those communities. We also observed that individuals who are familiar with but not members of VHCs, especially those who are young and healthy, are more concerned about their PHI privacy in online communities.
Dienlin T., Metzger M.J.
2016-08-04 citations by CoLab: 251 Abstract  
The privacy calculus established that online self-disclosures are based on a cost-benefit tradeoff. For the context of SNSs, however, the privacy calculus still needs further support as most studies consist of small student samples and analyze self-disclosure only, excluding self-withdrawal e.g., the deletion of posts, which is essential in SNS contexts. Thus, this study used a U.S. representative sample to test the privacy calculus' generalizability and extend its theoretical framework by including both self-withdrawal behaviors and privacy self-efficacy. Results confirmed the extended privacy calculus model. Moreover, both privacy concerns and privacy self-efficacy positively predicted use of self-withdrawal. With regard to predicting self-disclosure in SNSs, benefits outweighed privacy concerns; regarding self-withdrawal, privacy concerns outweighed both privacy self-efficacy and benefits.
Wang T., Duong T.D., Chen C.C.
2016-08-01 citations by CoLab: 191 Abstract  
We apply the privacy calculus model to examine intention to disclose via mobile app.We test perceived benefit and risk as two paths of influence on disclose intention.Mobile users value benefits more than risks when offering personal information.Enhanced personalized services inspire mobile users to release privacy data.Perceived severity discourages mobile users from revealing personal privacy information. This study aimed to investigate the issue of consumer intention to disclose personal information via mobile applications (apps). Drawing on the literature of privacy calculus theory, this research examined the factors that influence the trade-off decision of receiving perceived benefits and being penalized with perceived risks through the calculus lens. In particular, two paths of the direct effects on perceived benefits and risks that induce the ultimate intention to disclose personal information via mobile apps were proposed and empirically tested. The analysis showed that self-presentation and personalized services positively influence consumers' perceived benefits, which in turn positively affects the intention to disclose personal information. Perceived severity and perceived control serve as the direct antecedents of perceived risks that negatively affect the intention of consumers to disclose personal information. Compared with the perceived risks, the perceived benefits more strongly influence the intention to disclose personal information. This study extends the literature on privacy concerns to consumer intention to disclose personal information by theoretically developing and empirically testing four hypotheses in a research model. Results were validated in the mobile context, and implications and discussions were presented.
Li H., Wu J., Gao Y., Shi Y.
2016-04-01 citations by CoLab: 297 Abstract  
Wearable technology has shown the potential of improving healthcare efficiency and reducing healthcare cost. Different from pioneering studies on healthcare wearable devices from technical perspective, this paper explores the predictors of individuals' adoption of healthcare wearable devices. Considering the importance of individuals' privacy perceptions in healthcare wearable devices adoption, this study proposes a model based on the privacy calculus theory to investigate how individuals adopt healthcare wearable devices.The proposed conceptual model was empirically tested by using data collected from a survey. The sample covers 333 actual users of healthcare wearable devices. Structural equation modeling (SEM) method was employed to estimate the significance of the path coefficients.This study reveals several main findings: (1) individuals' decisions to adopt healthcare wearable devices are determined by their risk-benefit analyses (refer to privacy calculus). In short, if an individual's perceived benefit is higher than perceived privacy risk, s/he is more likely to adopt the device. Otherwise, the device would not be adopted; (2) individuals' perceived privacy risk is formed by health information sensitivity, personal innovativeness, legislative protection, and perceived prestige; and (3) individuals' perceived benefit is determined by perceived informativeness and functional congruence. The theoretical and practical implications, limitations, and future research directions are then discussed.
Bartsch M., Dienlin T.
Computers in Human Behavior scimago Q1 wos Q1
2016-03-01 citations by CoLab: 129 Abstract  
For an effective and responsible communication on social network sites (SNSs) users must decide between withholding and disclosing personal information. For this so-called privacy regulation, users need to have the respective skills-in other words, they need to have online privacy literacy. In this study, we discuss factors that potentially contribute to and result from online privacy literacy. In an online questionnaire with 630 Facebook users, we found that people who spend more time on Facebook and who have changed their privacy settings more frequently reported to have more online privacy literacy. People with more online privacy literacy, in turn, felt more secure on Facebook and implemented more social privacy settings. A mediation analysis showed that time spend on Facebook and experience with privacy regulation did not per se increase safety and privacy behavior directly, stressing the importance of online privacy literacy as a mediator to a safe and privacy-enhancing online behavior. We conclude that Internet experience leads to more online privacy literacy, which fosters a more cautious privacy behavior on SNSs. The more people use SNSs, the more privacy literacy they have.The more people change their privacy settings on SNSs, the more privacy literacy they have.People with more privacy literacy restrict access to their SNS profile more strongly.People with more privacy literacy feel safer when using SNSs.
Quinn K.
2016-01-02 citations by CoLab: 69 Abstract  
The contradiction between the stated preferences of social media users toward privacy and actual privacy behaviors has suggested a willingness to trade privacy regulation for social goals. This study employs data from a survey of 361 social media users, which collected data on privacy attitudes, online privacy strategies and behaviors, and the uses and gratifications that social media experiences bring. Using canonical correlation, it examines in detail how underlying dimensions of privacy concern relate to specific contexts of social media use, and how these contexts relate to various domains of privacy-protecting behaviors. In addition, this research identifies how specific areas of privacy concern relate to levels of privacy regulation, offering new insight into the privacy paradox. In doing so, this study lends greater nuance to how the dynamic of privacy and sociality is understood and enacted by users, and how privacy management and the motivations underlying media use intersect.
Ng M.
Computers in Human Behavior scimago Q1 wos Q1
2016-01-01 citations by CoLab: 25 Abstract  
Facebook and other social network sites (SNSs) are quickly becoming one of the most popular tools for social communication and marketing. The present research examined factors that affect consumers' self-disclosure and participation of commercial activities on Facebook across two markets. Drawing upon the social exchange model, the uses and gratification model, and the social identity model, a conceptual model was developed and estimated. The major independent variables included perceived convenience, self-presentation, enjoyment, perceived risk, and social influence. Focusing on youth consumers, the model was tested by using data collected in Hong Kong and Japan. Findings across these two markets reflect cross-market similarities and differences that are related to consumers' motivation of using Facebook. Both theoretical and practical implications were drawn from these findings. Motivational factors influencing consumers' usage of Facebook were examined.Motivational factors of Chinese and Japanese Facebook users were compared.Enjoyment, self-presentation and perceived risks were more emphasis by Chinese users.Enjoyment, perceived risk and social influence were more emphasis by Japanese users.Trust and perceived control could reduce users' perceived privacy risk.
Malodia S., Islam N., Kaur P., Dhir A.
2024-01-01 citations by CoLab: 53 Abstract  
Artificial-Intelligence-enabled voice assistants, such as Alexa and Siri, are increasingly replacing search engines as consumers actively employ the former to accomplish a variety of their day-to-day tasks. Technology providers as well as marketers increasingly work to leverage the use of voice assistants to engage their customers and offer them more personalized value propositions. This article examines the various consumption values associated with the use of voice assistants. Based on a theoretical framework rooted in the “theory of consumption values” (TCV), we undertake a mixed-methods approach that comprises interviews with experts (n = 5) and consumers (n = 30) as well as a cross-sectional survey with active users of voice assistants (n = 371). The article considers five consumption values—social identity, convenience, personification, perceived usefulness, and perceived playfulness—and two types of usage of voice assistants—information search and task function. Our findings contextualize and extend the TCV framework using voice assistant technology and obtain empirical support for the interrelation of consumption values. We find that social identity and personification have a strong positive association with both usefulness and playfulness. Furthermore, usefulness and playfulness are positively associated with information search and task function. In addition, trust and frequency of use significantly (and positively) moderate the association between usefulness and usage of voice assistants. Technology providers and marketers can capitalize on these findings to develop various voice-enabled applications and services that enhance the consumer experience and consumer engagement.
Yuan Y., Tan G.W., Ooi K.
2024-01-01 citations by CoLab: 15 Abstract  
The emergence of mobile financial technology (mobile fintech) services raises numerous public concerns regarding privacy issues; consequently, researchers in mobile technology acceptance have focused on consumers' privacy self-disclosure behaviors under the usual scenario. However, there is still a lack of understanding on how external influences, such as a public health crisis, affect consumers' privacy decision-making process. Therefore, in this article, we examine the effects of privacy- and pandemic-related antecedents on mobile fintech users' information self-disclosure behavior during the coronavirus disease 2019 pandemic. The present research adopts a self-administered questionnaire with 712 effective responses for data collection and a two-stage partial least squares-structural equation modeling-artificial neural network (PLS-SEM-ANN) approach to test the theoretical lens proposed. The results indicate that the significant structural paths in the model are consistent with the proposed hypotheses and existing literature. Surprisingly, face-to-face avoidance (FFA) does not significantly influence consumers' self-disclosure willingness. Infection severity and infection susceptibility were insignificant with FFA. The present research is the first to investigate consumers' privacy-related behavior via integrating the privacy-calculus framework with control agency theory. This research focuses on consumers' decision-making during the pandemic, explicitly highlighting the macroenvironment's role in influencing an individual's behavior.
Angelis J.N., Murthy R.S., Beaulieu T., Miller J.C.
2024-01-01 citations by CoLab: 4 Abstract  
Extant research on data breach events primarily focus on the information technology lapses and delayed financial outcomes with less emphasis on the behavior of consumers. Essentially, current research prioritizes the “what” of data breaches, largely ignoring the question of “why.” Our research seeks to fill a gap in the research design of prior studies on data breaches and customer behaviors by considering the customer emotions of anger and fear. While prior research has focused on anger due to its contagious nature, our results demonstrate that fear is the most influential emotion leading to changed behavior and/or lower revisit intentions. This article employs text and sentiment analysis of consumer responses to a data breach event to determine emotional response and revisit intentions. We find that angry customers may vent but will return with no meaningful change in their behavior. Unlike prior research, we also focus on fear and find that fearful customers retreat and disengage, behaving differently from angry customers. Managerial implications of this research illustrate the need to address fearful customers differently after a data breach to avoid reduced firm interactions and withdrawal behavior as opposed to merely reducing anger in the media as hitherto suggested.
Kumar S., Kumar P.
2023-06-01 citations by CoLab: 12 Abstract  
Privacy concerns of users threaten the usage of online social networks (OSN). In this regard, privacy preserving of OSN emerged as a convincing solution for preserving the privacy of users and uncovering useful insights from the social network data. In this article, we propose a novel algorithm based on the fuzzy sets and rewiring algorithm for preserving the privacy of users. This article presents the algorithm called privacy-preserving rewiring algorithm (PPRA), which can be used for anonymizing the social network data. The algorithm is validated by showing its effectiveness on four real-world datasets across three major graph mining tasks. The proposed PPRA algorithm will help in preserving the privacy of users in the OSN graph while simultaneously maintaining the utility that can be generated from the OSN graph structure.
Kante M., Michel B.
2023-05-01 citations by CoLab: 6 Abstract  
Structural equation modelling (SEM) is a statistical technique used in the field of Information Systems amongst others. The technique has been paid attention thanks to its flexibility and predictive power. However, there is a paucity of guidelines in the application of the technique in the field of Behavioural Information Security. Hence, this paper aims to provide a comprehensive guide of using PLS-SEM in disclosure and privacy studies on Social Network Sites (SNSs). Data has been gathered using papers (n=21) published between 2006 and 2022 from scholarly databases such as Google Scholar, Association for Information Systems eLibrary (AISeL), IEEE Xplore and Science Direct. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) was used to analyse and synthesize the status of the field. Our systematic review covers data characteristics, reasons for using PLS-SEM, the evaluation of measurement models, the evaluation of the structural model and reporting best practices. The review proposed guidelines for the use of PLS-SEM in the discipline of Behavioural Information Security with a focus on disclosure and privacy on SNSs studies and other fields as well.
Jeyaraj A.
2022-02-01 citations by CoLab: 18 Abstract  
Habit has been modeled in different ways in information systems (IS) research. It is theorized to directly impact system use (SU), moderate the impact of behavioral intention (BI) on SU, indirectly impact SU through BI and other variables, mediate the effects of other variables on BI and SU, and moderate the effects of other variables on BI. Prior studies empirically examined models of habit in various settings such as different types of respondents and geographic regions. Unsurprisingly, empirical findings on the relationships involving habit have been inconsistent and mixed. This study proposes that the variations in empirical results may be due to the various models of habit and the study characteristics. An exploratory meta-analysis and review of habit and its relationships is conducted by synthesizing findings across 130 samples reported in 114 published studies. Implications for research and practice are discussed. • Habit portrayed in different ways in information systems research. • Direct effect of habit on system use largely significant. • Direction of moderating effect of habit on the intention to use relationship inconclusive. • Effect of habit on system mediated by other variables. • Role of habit in information systems research may need scrutiny.
Nemec Zlatolas L., Hrgarek L., Welzer T., Hölbl M.
Mathematics scimago Q2 wos Q1 Open Access
2022-01-04 citations by CoLab: 7 PDF Abstract  
Social networking sites (SNSs) are used widely, raising new issues in terms of privacy and disclosure. Although users are often concerned about their privacy, they often publish information on social networking sites willingly. Due to the growing number of users of social networking sites, substantial research has been conducted in recent years. In this paper, we conducted a systematic review of papers that included structural equations models (SEM), or other statistical models with privacy and disclosure constructs. A total of 98 such papers were found and included in the analysis. In this paper, we evaluated the presentation of results of the models containing privacy and disclosure constructs. We carried out an analysis of which background theories are used in such studies and have also found that the studies have not been carried out worldwide. Extending the research to other countries could help with better user awareness of the privacy and self-disclosure of users on SNSs.
Ambalov I.A.
2021-05-07 citations by CoLab: 16 Abstract  
PurposeSocial networking services/systems (SNSs) have grown in popularity in the past decade. However, while some have been abandoned by their once loyal users, others have grown in popularity. Literature provides diverse and often conflicting justifications for this phenomenon. Seeking a credible explanation, this study aims to examine the roles of system-like trust and habit in SNS use continuance.Design/methodology/approachThis study conducted a comprehensive review of related literature to formulate an extended model of information technology (IT) continuance. A cross-sectional field survey was used to collect data from 401 university-student Facebook users. The research model was evaluated using structural equation modeling.FindingsThe results indicate that trust in technology and hedonic motivation are important direct influences on end-user continuance intention (CI), while habit is not. Interestingly, the most salient (indirect) predictor of CI is confirmation of (user) expectations.Practical implicationsThe study suggests a set of practical steps that managers and practitioners can undertake to support users’ decisions to continue using the systems.Originality/valueThis paper advances IT continuance research by theorizing that trust in technology along with habit and hedonic motivation positively influence CI. In addition, the study enhances the concept of perceived usefulness by modeling this unitary measure as a multidimensional construct.
Belitzky E., Kongar E., Lohle M.
2019-06-01 citations by CoLab: 2 Abstract  
Healthcare knowledge management systems have traditionally been developed, implemented, and utilized in very different spheres. A patient care system or provider portal is typically institutional in nature, provides historical data on physician or hospital visits and medical tests, with limited, if any, interfaces to the variety of comprehensive patient care websites, applications, and other publicly available tools. Social media, in contrast, may be organization based or public and contain information that is publicly available or exclusive to a selected community. Integrated platform support for both types of systems is not available for the pediatric oncology caregiver under a single interface. A review of literature has identified a void in understanding if broadening knowledge management systems can enable more effective pediatric oncology care practice. A survey of pediatric oncology professionals provided insights on willingness to use social media. Professional concerns, in part personal liability and patient security, represent initial findings. Based on these findings, a conceptual process framework to integrate patient portals and social media platforms is presented. The framework objective is to enable practical implementation for managers in organizations looking for a reliable, trustworthy, and secure knowledge management platform.

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