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The research aims to explore the influence mechanism of peer feedback and users' knowledge contribution behavior. This study draws on the social identity theory and considers social identity as a mediating factor into the research framework.

This paper collected users' activity data of 142,191 ideas submitted by 76,647 users from the MIUI community between October 2010 and May 2018 via Python software, and data were processed using Stata 16.0.

The results indicate that knowledge feedback and social feedback positively influence users' knowledge contribution (quantity and quality), respectively. User's cognitive identity positively mediates the relationship between peer feedback and knowledge contribution behavior, affective identity positively mediates the relationship between peer feedback and knowledge contribution behavior, while evaluative identity positively mediates the relationship between peer feedback and knowledge contribution quality, but there is no mediating effect between peer feedback and knowledge contribution quantity.

This study advances knowledge management by highlighting peer feedback on online innovation communities. By demonstrating the significant mediating effect of social identity, this study empirically clarifies the relationships of peer feedback (knowledge feedback and social feedback) to specific dimensions of knowledge contribution, thereby providing managerial guidance to the online innovation community on incentivizing and managing user interaction to foster the innovation development of firms.

This paper aims to identify the data elements that social network sites (SNS) users consider important for shaping their digital identity and explore how users’ privacy concerns, self-esteem and the chosen SNS shape this process.

This study conducted an online survey with the participation of 759 individuals, to examine the influence of privacy concerns, self-esteem and the chosen SNS platform, on the shaping of the digital identity, through a classification of identity elements that users disclose when using a SNS, the Rosenberg self-esteem scale and relevant constructs from the literature.

Findings reveal that users consider the name, gender, picture, interests and job as most important elements for shaping their digital identity. They also demonstrate that privacy concerns do not seem to affect the amount of information users choose to publish when shaping their digital identity. Specific characteristics of SNS platforms are found to affect the way that users shape their digital identity and their privacy behavior. Finally, self-esteem was found to affect privacy concerns and digital identity formation.

To avoid a lengthy questionnaire and the risk of low participation, the respondents answered the questions for one SNS of their choice instead of answering the full questionnaire for each SNS that they use. The survey included the most popular SNSs at the time of the survey in terms of popularity.

The results contribute to the theory by furthering our knowledge on the elements that shape digital identity and by providing evidence with regard to the role of privacy and self-esteem within social networking. In practice, they can be useful for SNS providers, as well as for entities that design security and privacy awareness campaigns.

This paper identifies novel factors that influence digital identity formation, including the specific SNS used with its particular characteristics in combination with privacy concerns and self-esteem of the user.

Integrated health care lacks a theoretical concept of the user figure that is appropriate to reflect users’ various claims and multi-dimensional interrelations in the care process. The paper aims to discuss this issue.

Key goals of integrated health care, such as a continuity of care, seamless services and better health outcomes depend strongly on users’ capabilities to engage themselves in the care process. These goals are hardly reachable if integrated health care schemes operate with a one-dimensional understanding of users’ identity.

The suggested concept of users’ identity facets suggests that users draw from different sources while receiving integrated health care. Thus, users are patients, co-producers, citizens, consumers and community members in one person and at the same time. Each facet of the user identity gains or loses relevance depending on health care contexts, health statuses, personal values and the design of service arrangements. As demonstrated by the example of disease management programmes (DMPs), care schemes for chronically ill persons, users have to apply different facets of their identities in order to benefit best from service provision. Moreover, addressing users’ identity may facilitate the extent of integration in DMPs.

Integrated health care schemes are challenged to invent strategies that facilitate and support coherence among users’ diverse identities in the process of service provision. Lessons could be learned from small-scale and localized integrated health care networks.

This paper extends the current literature on app engagement to identify dynamic factors that affect app engagement and the value-creation pathway that connect these factors with app engagement.

Survey data were collected from 299 app users to test the proposed research model.

The study found that the perceived effectiveness of evolution content and that of evolution speed impose both individual and joint positive effects on app identity, which serves as the mediation mechanism that connects these dynamic factors with app engagement.

This study takes the user perspective to explore how user perceptions of the effectiveness of app evolution content and speed, which represent unique user experiences in the app context, cultivate app engagement by enhancing app identity. Specifically, this study reveals the intertwined relationship among perceived effectiveness of app evolution, app identity, and app engagement.

The aim of this paper is to evaluate the use of blockchain for identity management (IdM) in the context of the Internet of things (IoT) while focusing on privacy-preserving approaches and its applications to healthcare scenarios.

The paper describes the most relevant IdM systems focusing on privacy preserving with or without blockchain and evaluates them against ten selected features grouped into three categories: privacy, usability and IoT. Then, it is important to analyze whether blockchain should be used in all scenarios, according to the importance of each feature for different use cases.

Based on analysis of existing systems, Sovrin is the IdM system that covers more features and is based on blockchain. For each of the evaluated use cases, Sovrin and UniquID were the chosen systems.

This paper opens new lines of research for IdM systems in IoT, including challenges related to device identity definition, privacy preserving and new security mechanisms.

This paper contributes to the ongoing research in IdM systems for IoT. The adequacy of blockchain is not only analyzed considering the technology; instead the authors analyze its application to real environments considering the required features for each use case.

Although wikis are common in higher education, little is known about the wiki user experience in these contexts and how system characteristics impact such experiences. The purpose of this paper is to explore experimentally the hypothesis that changing the anonymity of identity when editing wikis will impact significantly on user editing anxiety and that this may be dependent on the type of edit being conducted.

This hypothesis was explored using a controlled experiment study whereby users were given excerpts to include in their own words on a wiki site used for a psychology course. Users edited the wiki anonymously, using a pseudonym relevant to the context (a matriculation number) and using a full named identity. Users were also either asked to add content to the wiki or to delete and replace content on the wiki site.

The paper found that users experienced significantly less anxiety when editing anonymously compared to when editing with a pseudonym or full name and that the type of edit being conducted did not impact the anxiety felt.

The research highlights that the effects of anonymity discussed are also in operation in a wiki context, a more fundamentally anonymous context compared to blogs, bulletin boards or general computer-mediated communication tools.

The purpose of this study is to examine the determinants of online community user participation from a social influence perspective.

Based on 450 valid responses collected from a survey questionnaire, structural equation modeling (SEM) technology was employed to examine the research model.

The results show that both social identity and group norm have significant effects on user participation. In addition, group norm affects social identity. It was not possible to find the effect of subjective norm on participation intention.

This research is limited to a particular sample: students. Thus the results need to be generalized to other samples, such as working professionals.

Extant research has mainly focused on the effects of user motivations such as perceived usefulness, trust and commitment on online community user behavior, and seldom considered the effects of social processes including compliance, identification and internalization on user behavior. This research tries to fill the gap.

The purpose of this paper is to explore and describe different viewpoints on the use of social networking sites (SNSs). It analyzes perceptional typologies of SNS users and the characteristics of each type, which has similarities and differences. It also examined possible relationships among different perceptional types, users’ self-identities, and their personality.

This study utilized Q-methodology in order to identify diverse explanations of SNS users’ perspectives. Q-methodology requires participants (referred to as P sample) to sort a series of items (Q-statements). After completing a questionnaire including demographics, self-identity, etc., each respondent performed the Q-sorting work. This task involves sorting well-composed statements about SNSs (Q-sample). In all, 46 SNS users from a university in Korea were chosen as participants. Once the P sample had finished Q-sorting, participants had in-depth interviews. When all interviews were finalized, analysis of the Q-sorts was done with the help of QUNAL program.

Consequently, four types of SNS users were identified and given the following descriptive labels: Impression Management Type, Lurker Type, SNS Enjoyer and Relationship Focus Type, and Social Value Orientation Type. Further, there was a significant difference in “Relational Identity” among user types. Regarding personality, the extraversion of Type III appeared to be the highest, and the extraversion of Type II appeared to be the lowest.

Combining aspects of both qualitative and quantitative research to study the subjectivity, the findings of this study provide insight for further research regarding an audience study or an examination of the media behaviors of SNSs. It also suggests theoretical and practical implications.

Banking traces back to 2000 BC in Assyria, India and Sumeria. Merchants used to give grain loans to farmers and traders to carry goods between cities. In ancient Greece and Roman Empire, lenders in temples, provided loans, and accepted deposits while performed change of money. The archaeological evidence uncovered in India and China corroborates this. The major development in banking came predominantly in the mediaeval, Renaissance Italy, with the major cities Florence, Venice and Genoa being the financial centres. Technology has become an inherent and integral part of our lives. We are generating a huge amount of data in transfer, storage and usage, with greater demands of ubiquitous accessibility, inducing an enormous impact on industry and society. With the emergence of smarter cities and societies, the security challenges pertinent to data become greater, impending impact on the consumer protection and security. The aim of this chapter is to highlight if SSI and passwordless authentication using FIDO-2 protocol assuage security concerns such as authentication and authorisation while preserving the individual's privacy.