TOWARDS EXPLAINING THE WILLINGNESS TO DISCLOSE PERSONAL SELF-TRACKING DATA TO SERVICE PROVIDERS

Users of digital self-tracking devices increasingly benefit from multiple services related to their self-tracking data. Simultaneously, service providers are dependent from these data to offer such services. Thereby, the willingness of users to provide such personal data heavily depends on benefits and risks associated with the disclosure. In this regard, the aim of our research is to investigate the factors influencing the willingness to disclose personal self-tracking data to service providers. So far, IS re-search has largely focused on private information disclosure in social media and little in the health and behavior context. To advance research in this area, we develop a conceptual model based on the privacy calculus by building on established information disclosure and privacy theories. With our re-search, we aim at contributing to both a better theoretical understanding in the fields of privacy and information disclosure and giving practical implications for service provider

A study on factors influencing online behavioral advertising avoidance (Oba): Special reference to Sri Lankan online advertising

This paper aims to investigate the effect of goal impediment, privacy concern, perceived personalization on the online add avoidance behavior. This task is accomplished through the negative experi-ence. The primary objective of the study is to identify the effects the said issues in Sri Lanka. The study is designed as a cross sectional study where the data was collected using a questionnaire and the sample size was 384. Collected data was analyzed through structural equation method in AMOS 22. All the hypotheses were supported by data. Therefore, it was concluded that goal impediment, privacy concern, perceived personalization had significant impacts on negative experience and negative experience had a significant impact on the online add avoidance behavior

Will I or Will I Not? Explaining the Willingness to Disclose Personal Self-Tracking Data to a Health Insurance Company

Users of digital self-tracking devices increasingly benefit from multiple services related to their self-tracking data. Vice versa, new digital as well as “offline” service providers, such as health insurance companies, depend on the users’ willingness to disclose personal data to be able to offer new services. Whereas previous research mostly investigated the willingness to disclose data in the context of social media, e-commerce and smartphone apps, the aim of our research is to analyze the influence of the privacy calculus of personal risks and benefits on the willingness to disclose highly personal and confidential self-tracking data to health insurance companies. To do so, we develop a conceptual model based on the privacy calculus concept and validate it with a sample of 103 respondents in a scenario-based experiment using structural equation modeling. Our results reveal that privacy risks always have a negative impact on the willingness to disclose personal data, while positive effects of privacy benefits are partly depending on the data sensitivity

Privacy Preserving Location-Based Client-Server Service Using Standard Cryptosystem

Location-Based Mobile Services (LBMS) is rapidly gaining ground and becoming increasingly popular, because of the variety of efficient and personalized services it offers. However, if users are not guaranteed their privacy and there is no assurance of genuineness of server\u27s response, the use of these services would be rendered useless and could deter its growth in mobile computing. This paper aims to provide confidentiality and integrity for communication that occurs between users and location service providers. A practical system that guarantees a user\u27s privacy and integrity of server\u27s response, using a cryptographic scheme with no trusted intermediary, is provided. This scheme also employs the use of symmetric and asymmetric encryption algorithms to ensure secure message and key transfer. In order to overcome the problem of computational complexities with these algorithms, AES-256 is used to encrypt the message and user\u27s location. Several researches have been done in this category but there is still no system that checks the integrity of server\u27s response. The proposed scheme is resistant to a range of susceptible attacks, because it provides a detailed security analysis and, when compared with related work, shows that it can actually guarantee privacy and integrity with faster average response time and higher throughput in LBMS

Sharing but caring: Location based mobile applications (LBMA) and privacy protection motivation

Location based mobile applications (LBMA) are developing rapidly with the increasing adoption of smartphones. These applications advantage userś location to provide products or services based on information obtained from their smart devices. However, implementation and execution of these services may raise userś privacy concerns related to sensitive information being handled. In this context, this paper examines the factors that motivate users and lead them to protect their privacy while using LBMA. It also considers potential benefits they could encounter and thus enable their privacy trade. The model proposed is based on Protection Motivation Theory (PMT) and tested through a variance-based Structural Equations Modelling approach. Data were obtained through an online survey with 820 participants. Findings reveal that perceived severity, perceived vulnerability and self-efficacy exert a positive effect on the intention of privacy protection, which in turn is found to be positively related to the behavior of protecting privacy.Spanish Ministry of Economics, Industry and Competitiveness under the grant ECO2017-82449-PFunding for open access charge: Universidad de Granada / CBU

USERS ACCEPTANCE OF LOCATION-BASED MARKETING APPS IN TOURISM SECTOR: AN EXPLORATORY ANALYSIS

Mobile devices are the most used technology tools to access the Internet since they allow access from anywhere. This possibility has prompted companies to focus, to a greater extent, strategies based on geolocation marketing. Geolocation is a tool through which people or places can be located and have very diverse functionalities and applications. Location-Based Services (LBS) allow businesses to incorporate these types of tools into their digital marketing strategies. Social networks based on location services (LBSNS or Location-Based Social Network System) allow businesses to access information on the location of customers in real time. The present study provides more information on LBS and geolocation marketing, also known as geomarketing, analyzing the utility and benefits that this tool has to digital marketing and social networks and the importance of its technological adoption. To achieve this objective, a thorough review of technology adoption literature was carried out and a series of interviews were made with experts and professionals in its two aspects: digital marketing and information technologies. The results show the way in the tourism sector, these tools are managed, the means in which they are active, the LBS systems used, the utility and benefits they perceive from them, as well as the importance and efforts that they dedicate to them. This study reaches relevant conclusions for tourism professionals interested in incorporating LBS and geomarketing strategies into their businesses, as well as researchers interested in the behavior in Location-Based Services

The role of demographics and Facebook activities in users' concerns about online privacy

Online social networking sites, such as Facebook, have become an integral part of society –mainly due to a need for social engagement. Unfortunately, cyber-related crimes have increased owing to individuals displaying their personal information so freely online. The reported inconsistencies in terms of the associations of different users and user activities in terms of their levels of online privacy served as an impetus for this study. Against the backdrop of the uses and gratifications theory and the reported inconsistencies from previous studies, the purpose of this study is to investigate how certain socio-demographic variables and activities of Facebook users are associated with concerns about information privacy on Facebook. Data was collected through 210 selfadministered questionnaires. Results suggest that females are less likely than males to provide accurate personal information on Facebook. Furthermore, there was a positive correlation between internet experience and a Facebook user’s privacy concerns. The value of this study lies in understanding the balance between privacy concern and sharing personal information, as well as to assist Facebook practitioners in terms of dealing with the issue of privacy for different Facebook users. Privacy concerns also have an impact on a user’s likelihood of implementing advanced privacy settings, and the results from this study may be able to assist Facebook practitioners to minimise the negative consequences of future Facebook interactions.http://www.bapress.ca/jcm.phpam2018Marketing Managemen

THE COST OF SHARING: THE EFFECT OF SHARING INCLINATION ON INFORMATION OVERLOAD

Current research on social media emphasizes that sharing information comes with great benefits to the individual who shares. In this paper, we adopt a different perspective by arguing that individuals with a high inclination to share information through social media also incur substantial cognitive costs. In particular, we hypothesize that during two phases of the sharing process, information appraisal and asynchronous interactivity, the sharer is confronted with information processing requirements that con-siderably draw on his or her limited cognitive capacity and thus increase the likelihood of experiencing information overload. We furthermore argue that this effect is more pronounced for individuals with a high compared to low need for cognition because they feel particularly motivated to process infor-mation. Our hypotheses are supported by a large survey-generated dataset (n=30,392) from six coun-tries. We additionally find a positive direct effect of need for cognition on information overload. We discuss contributions to conversations on information sharing, information overload, and need for cog-nition research in the context of social media and we highlight managerial implications of our findings