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Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic. This paper aims at studying a new type of interconnected architecture.

This study is a pioneer work on the establishment of a new type of interconnected architecture – rim chain. The rim chain aims at supporting prompt matching between provision and requirements.

The analytical results suggest that requirements can be fulfilled in accordance with six degrees of separation. In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework.

Knowledge graph is used to implement the rim chain.

The work connects classic theories of selfing to the COVID-19 pandemic to make fresh connections between pandemic-induced trauma to the self and digital resources. This research introduces the concept of the “traumatized self” emerging from the COVID-19 pandemic in relation to digital disadvantage and digital hyperconnectivity. From Cooley’s original “looking glass self” to Wellman’s “hyperconnected” individualist self, social theories of identity work, and production of the self have a long and interdisciplinary history. In documenting this history, the discussion outlines key foci in the theorizing of the digital self by mapping how digital selfing and identity work have been treated from the inception of the internet to the epoch of the pandemic. The work charts the evolution of the digital selfing project from key theoretical perspectives, including postmodernism, symbolic interactionism, and dramaturgy. Putting these approaches in dialogue with the traumatized self, this research makes a novel contribution by introducing the concept of digitally differentiated trauma, which scholars can employ to better understand selfing processes in such circumstances and times.

This chapter provides a historical contextualisation of health tracking and public health communication from the post-World War Two development of the welfare state, through the birth of neoliberalism, until today’s individualising practices of digital health tracking and quantification of bodies. Through an examination of these three phases of public health quantification of bodies, encompassing the socio-economic, cultural and political shifts since 1948, combined with the development and wide adoption of digital health and self-quantifying technologies, this chapter traces the changing landscape and the dramatic implications this has had for shifting who is responsible for maintaining ‘good’ health. This chapter illustrates how neoliberal free market principles have reigned over UK public health discourse for many decades, seeing health as no longer binary to illness, but as a practice of individual self-quantification and self-care. In turn, the chapter explores how the quantification and health tracking of bodies has become a dominant discourse in public health promotion, as well as individual citizenship and patient practices. This discourse still exists pervasively as we move into the digital society of the 2020s, through the Covid-19 pandemic and beyond; with public health strategies internationally promoting the use of digital health tools in our everyday, further positioning citizens as entrepreneurial subjects, adopting extensive technological measures in an attempt to measure and ‘optimise’ health, normalising the everyday quantification of bodies.

The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct and synchronous projection in cyber–physical–psychological ternary fusion system. Since the network of crowd intelligence is the future interconnected network system that takes on the features of large scale, openness and self-organization. The Digital-selfs in the network of crowd intelligence interact and cooperate with each other to finish transactions and achieve co-evolution eventually.

To realize comprehensive, real, correct and synchronous projection between cyber–physical–psychological ternary fusion system, the authors propose the rules and methods of projection from real world to the CrowdIntell Network. They build the mental model of the Digital-self including structure model and behavior model in four aspects: identity, provision, demand and connection, thus forming a theoretical mental model framework of Digital-self.

The mental model is excepted to lay a foundation for the theory of modeling and simulation in the research of crowd science and engineering.

This paper is the first one to propose the mental model framework and projection rules and methods of Digital-selfs in network of crowd intelligence, which lays a solid foundation for the theory of modeling, simulation, intelligent transactions, evolution and stability of CrowdIntell Network system, thus promoting the development of crowd science and engineering.

The study aims to examine the digital competence of young employees (under 30 years of age) who graduated from the technical university. Self-assessment of selected digital competencies was examined along with the determination of a self-efficacy level in the area of using digital competencies.

Quantitative research was conducted using the computer-assisted web interview method on a sample of 4532 respondents.

Young employees' self-assessment of digital competencies and self-efficacy in the area of using them is high, and it can be assumed that they perceive themselves as digitally competent. Both digital self-efficacy and assessed digital competencies have a positive impact on satisfaction with the university.

The research sample consisted only of employees who graduated from the technical university, but the results may provide feedback on the demand for digital competencies sought in the labor market and constitute valuable information useful in university curriculum development and in vocational education and training.

This is the first study that focuses on the Kozanoglu and Abedin approach to the concept of digital literacy in the context of research on self-assessment and self-efficacy in using digital competencies among technical university graduates, adapting the creative self-efficacy scale by Tierney and Farmer, for measuring digital self-efficacy.

1. Young employees' digital competencies self-assessment is high.

2. Young employees' self-efficacy of using digital competencies is high.

3. Graduating from a DT-focused department has a positive impact on satisfaction.

4. Digital self-efficacy has a positive impact on satisfaction with the university.

5. Assessed digital competencies have a positive impact on satisfaction.

Young employees' digital competencies self-assessment is high.

Young employees' self-efficacy of using digital competencies is high.

Graduating from a DT-focused department has a positive impact on satisfaction.

Digital self-efficacy has a positive impact on satisfaction with the university.

Assessed digital competencies have a positive impact on satisfaction.

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.

The purpose of this article is to examine the ways in which self-tracking data have meaning and value in and after the life of the creator, including how such data could become part of the larger historical record, curated in an institutional archive. In doing so, the article expands upon existing shared interests among researchers working in the areas of self-tracking, human–computer interaction and archival science.

A total of 18 people who had self-tracked for six months or more were recruited for the study. Participants completed a survey which gathered demographic data and characteristics vis-à-vis their self-tracking behavior. In-person semi-structured interviews were then conducted to ascertain the beliefs of the participants regarding the long-term use and value of personal quantified-self data.

The findings reveal the value that people place on self-tracking data, their thoughts on proper modes for accessing their archive once it moves from the private to the public space, and how to provide fidelity within the system such that their experiences are represented while also enabling meaning making on the part of subsequent users of the archive.

Today’s quantified-self data are generally embedded in systems that create a pipeline from the individual source to that of the corporate warehouse, bent on absorbing and extracting insight from a totality of big data. This article posits that new opportunities for knowing and for design can be revealed when a public interest rationale is appended to rich personalized collections of small data.

Do luxury consumers negatively evaluate digital interactions (website and social media) by international luxury brands? The topic has received much debate. The authors argue that luxury brand personality (modern vs. traditional), which encompasses a more stable form of brand identity in global markets, affects evaluations of digital interactions. They further investigate the role of self-brand connection in this process.

Three experiments on Prolific use a European sample and manipulate a single factor between subjects (modernity: less vs. more; traditionality: less vs. more) of French luxury brands and measure evaluations as the dependent variable. Two studies assesses self-brand connection (continuous) as a moderator (studies 2a, 2b). Study 2b rules out some alternative explanations, with culture (independent vs. collectivist) as an independent variable. A fourth study, using a North American sample on CloudResearch, assesses the effect of personality manipulation (more modernity vs. more traditionality) on consumer evaluations of an Italian brand, and assesses ubiquity perceptions as a mediator.

Consumers evaluate digital interactions of international luxury brands less favorably when luxury brand personality exhibits more (vs. less) modernity or less (vs. more) traditionality. Perceptions of ubiquity mediate these relationships. When self-brand connection is high, this effect is attenuated.

The research sheds light on the debate on whether luxury brands should create digital interactions in international markets, given that these global brands operate in multiple channels. Findings show that luxury brands can develop strategies based on aspects of their brand identity, a less malleable feature of brand identity within global markets. Additionally, the research contributes to the conversation about a global luxury market. In short, the findings offer evidence in favor of brand identity (personality) influencing the digital channel strategy a brand should undertake in international markets, first, followed by consumer needs.

Technology is integral to contemporary life; where the digital transformation to virtual information accessibility impacts instruction, it alters the skills of learning and comprehension (Gonzalez-Patino & Esteban-Guitart, 2014; Lloyd, 2010). Although librarians/media specialists provide orientation, instruction, and research methods face-to-face and electronically, they recognize that digital learning instruction is not a linear process, and digital literacy (DL) is multi-disciplinary (Belshaw, 2012). Policy and public research findings indicate that higher education must be prepared to adapt to rapid changes in digital technology (Maybee, Bruce, Lupton, & Rebmann, 2017). Digital learning undergoes frequent transformations, with new disruptive innovation and research attempts at redefinition (Palfrey, 2015). Research often overlooks junior/community colleges. We are all learners and we need to understand the digital learning challenges that incorporating DL includes in the new digital ecology (Adams Becker et al., 2017). This study provides real faculty/librarian commentaries regarding the understanding needed to develop digital learning and contemporary digital library resources. The authors investigate faculties’ and librarians’ degree of DL perceptions with instruction at junior/community colleges. Survey data analysis uses the mean of digital self-efficacy of variables collected, revealing that participants surpassed Rogers’s (2003) chasm of 20% inclusion. Findings provided data to develop the Dimensions of Digital Learning rubric, a new evaluation tool that encourages faculty DL cross-training, librarians’ digital learning collaboration, and effective digital learning spaces.