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This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience. Focusing on the effect of trust on cognitive processes, the authors analyze how affordances in blockchains affect the user experience.

The blockchain affordances are examined through a two-stage process. The authors employ a qualitative analysis based on insights gained from the current literature and interviews. The authors then apply a quantitative survey to examine the role of trust in interactions with blockchain services. A structural user model was tested in which their appreciation of affordances of blockchain predicted the trust and satisfaction.

Users' appreciation for transparency and reliability explained to what extent they trust and are satisfied, thereby suggesting the heuristic roles of trust in blockchains. The study findings indicate a heuristic role for trust regarding underlying links to technological and affective affordances. A user's cognitive heuristics affect their attitudes toward blockchain, in which technological features are processed through users' perceptions and experience.

The model contributes to the conceptualization of security, privacy and traceability along with trust, which is then linked to transparency and reliability. The findings show how the frame of affordances gains explanatory power by being linked to the concepts of affect and emotion. The heuristics of direct perception of security–traceability–privacy (STP) can be used to understand the trajectory of heuristics and ongoing choices of blockchain.

The study results offer a lens through which to address the technology's most common problems by pairing user experience principles and heuristics to blockchain technologies. This study offers insights into the understanding of user actions related to blockchains and into practical implications for developing trust-based services. The results guide the application and tailoring of motivational affordances in blockchain.

While blockchain technology has gained popularity and momentum, there has been little research on how specific features of blockchain technology create value. This study contributes to the research gap by highlighting the role and dimension of trust in relation to STP in blockchains and provides meaningful implications for theory and practice.

This chapter discusses the ways in which digitalization and datafication challenge public relations (PR), arguing that technological developments create a need to re-conceptualize PR so as to account for data as affordance and actor. In so doing the chapter is conceptual; it discusses existing communicative theories in relation to current changes in the media landscape and its technological underpinnings. Focusing on the areas of crisis communication and issues management, we argue that datafication provides new ways of dealing with issues and, in turn, presents new issues for PR professionals. Thus, the chapter presents a novel conceptualization of PR in which technological affordances and agencies go hand in hand with human efforts in the configuration of communicative assemblages. More specifically, we argue that viewing data solely as an affordance merely provides new tools for solving existing issues. When the independent agency of data is recognized and employed, more effective means of solving such issues appear, but data itself also becomes an issue. The dilemma is best illustrated by the Cambridge Analytica scandal and the broader discussions about electoral manipulation and other covert uses of data it incurred. In this regard, balancing the dual demands of efficacy and ethics is as pressing a concern for PR as ever. The conceptualization of PR in terms of communicative assemblages, we suggest, may not only explain processes of issues formation better, but also provide a starting point for handling such processes ethically and effectively.

Despite the significance of online communication and interactions, previous research has not systematically compared all features on a single platform from the users' perspective. This study aims to fill this gap by extensively reviewing the current literature on social media affordances and proposes and tests a feature-centric and affordance-based conceptualization of social media platforms (SMPs) between users, features, the audience and content.

This research surveys users on Facebook, one of the largest SMPs, and asks them to assess 20 features of Facebook on six relational affordances between users, features, audience and content. The data in this study were collected on Amazon Mechanical Turk (MTurk) with participants from the US Correspondence analysis was employed to examine the relationship between affordances and the ties among affordances, features and outcomes.

Results of the study indicate that users perceive features differently, and employing features as the unit of analysis captures users' interactions effectively. The findings support the presence of user-oriented affordances, such as presentation flexibility, association and content association. These three affordances can be summarized in two higher-level ones: self-expression and connection (SEC) and persona-linked content (PLC). Our findings of the two dimensions, SEC and PLC, highlight the importance of targets and their connections in understanding social media interactions' dynamic nature.

By proposing to shift the focus from platforms to features, this study suggests that companies should focus on understanding the features they use for their users to interact with their brand, rather than merely ensuring that their company is omnipresent on all platforms. This study underlines the need to focus on features that will help managers influence interpersonal and user-brand communications and interactions on social media.

This research is the first to put features at the center of its investigation and quantitatively examine the relationship between social media features and affordances in a social media context. In all, this research provides a new unit of analysis that is more suitable for researchers to build a robust conceptual foundation for affordances. We believe that conceptualizing audience and content as outcomes, distinguishing it from features and creating connections between them as affordances is the unique aspect of our conceptualization.

This study explores the key platform affordances that online social platform providers need to offer digital creators to strengthen the creator ecosystem, one of the leading accelerators for platform growth. Specifically, it aims to investigate how these affordances make the dynamic combinations for high platform quality across diverse platform types and demographic characteristics of digital creators.

This study adopts a multi-method approach. Drawing upon the affordance theory, Study 1 aims to identify the key affordances of online social platforms based on relevant literature and the qualitative interview data collected from 22 digital creators, thereby constructing a conceptual framework of key platform affordances for digital creators. Building on the findings of Study 1, Study 2 explores the dynamic combinations of these platform affordances that contribute to platform quality using a configurational approach. Data from online surveys of 185 digital creators were analyzed using fuzzy set qualitative comparative analysis (fsQCA).

The results of Study 1 identified key online social platform affordances for digital creators, including Storytelling, Socialization, Design, Development, Promotion, and Protection affordance. Study 2 showed that the combinations of these platform affordances for digital creators are diverse according to the types of platforms, creators’ gender, and their professionality.

Like many studies, this research also has several limitations. One limitation of the research is the potential constraint of the extent of how well the data samples represent the group of creators who are actively producing digital content. Despite the addition of screening questions and meticulous data filtering, it is possible that we did not secure sufficient data from creators who are actively engaged in creative activities. In future research, it is worth contemplating the acquisition of data from actual groups of creators, such as creator communities. Future researchers anticipate obtaining more in-depth and accurate data by directly involving and collaborating with creators.

This study highlights the need for online social platforms to enhance features for storytelling, socializing, design, development, promotion, and protection, fostering a robust digital creator ecosystem. It emphasizes clear communication of these affordances, ensuring creators can effectively utilize them. Importantly, platforms should adapt these features to accommodate diverse creator profiles, considering differences in gender and expertise levels, especially in emerging spaces like the Metaverse. This approach ensures an equitable and enriching experience for all users and creators, underlining the importance of dynamic interaction and inclusivity in platform development and creator support strategies.

This study underscores the social implications of evolving digital creator ecosystems on online platforms. Identifying six key affordances essential for digital creators highlights the need for platforms to enhance storytelling, socializing, design, development, promotion, and product protection. Crucially, it emphasizes inclusivity, urging platforms to consider diverse creator profiles, including gender and expertise differences, particularly in transitioning from traditional social media to the Metaverse. This approach nurtures a more robust creator ecosystem and fosters an equitable and enriching experience for all users. It signals a shift towards more dynamic, adaptive online environments catering to diverse creators and audiences.

For academics, this study builds the conceptual framework of online social platform affordances for digital creators. Using the configurational approach, this study identified various interdependent relationships among the affordances, which are nuanced by specific contexts, and suggested novel insights for future studies. For practices, the findings specified by creators and platform types are expected to guide platform providers in developing strategies to support digital creators and contribute to platform growth.

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

This study aimed to provide evidence to support the use of a wiki called PBworks as a learning tool to foster students' information literacy (IL) skills based on activity theory.

The participants consisted of 421 students (i.e. form 1 to form 3) from Hong Kong taking a liberal studies course during the 2016–2017 academic year. This study mainly used a mixed methods design, proposing 11 hypotheses. Quantitative data from 374 questionnaires were analysed to test these research hypotheses, while a qualitative method (interviews) was used to explain the quantitative results. A structural equation modelling approach was used to analyse the data, and data triangulation was used to answer the same research questions.

The results showed that the model components PBworks affordances (PB) and rules and divisions (RD) had significant direct effects on individual activities (IA) and community activities (CA) and significant indirect effects on information literacy (IL). The results also revealed that CA had a significant effect on IA and had an even greater effect on IL.

Using PBworks and the project-based learning (PjBL) approach, this study examined the determinants affecting the IL skills of Hong Kong junior secondary school students and proposed a wiki-based information literary activity (WILA) model.

As students' IL skills have become increasingly important, this study can shed light on related topics for future studies.

And contribute to social stability and harmonious development.

This study eventually confirmed the validity of the WILA model with all hypotheses supported.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2020-0092.

The purpose of this research is to describe a discourse analysis technique which can be used to analyze text or speech that is produced by people when discussing their information practices.

The method involves coding the phrases and sentences of this interpretive discourse into the three domains of behavior investigated in psychology and education, namely, the affective domain of evaluating and intending, the cognitive domain of appraising and planning, and the sensorimotor domain of noticing, perceiving, and executing or acting.

Samples of discourse from independent published sources were categorized and coded. In every case people's self‐descriptions of their information practices are shown to contain references to their activities in these three domains. A model is presented to depict how information behavior can be represented as a continuous processing flow of satisficing and optimizing behavior. These mental behavioral procedures are practiced by individuals in information settings as members of a group or culture, and are reflected in the verbal accounts they construct about their information behavior.

The model of ecological constructionism, upon which the coding technique is based, needs to be tested in many more diverse contexts. Second, the model needs to address differences in types of information behavior such as searching, computing, blogging, etc., as well as different information settings and purposes of use, e.g. online shopping, doing job tasks with the computer, etc.

The technique can theoretically be automated and applied to the processing of large volumes of text produced daily in the online environment. The results yield a type of average digital code that can serve as an index of people's information behaviors in these diverse settings with regard to their affective, cognitive and sensorimotor activities.

The model or theory was constructed by integrating the concepts of “satisficing” and “optimizing” in decision making with research in information behavior, human ecology, social cognitive theory and ethnomethodology. The model is comprehensive and general enough to provide a potentially useful common topical reference chart for human studies in information science.

Undoubtedly, digital transformation is permeating all domains of business and society. We envisage this volume as an opportunity to explore how manifestations of digital transformation require rethinking of our understanding and theorization of institutional processes. To achieve this goal, a collaborative forum of organization and management theory scholars and information systems researchers was developed to enrich and advance institutional theory approaches in understanding digital transformation. This volume’s contributions advance the three institutional perspectives. The first perspective, institutional logics, technological affordances and digital transformation, seeks to deepen our understanding of the pervasive and increasingly important relationship between technology and institutions. The second perspective, digital transformation, professional projects and new institutional agents, explores how existing professions respond to the introduction of digital technologies as well as the emergence of new professional projects and institutional agents in the wake of digital transformation. The third perspective, institutional infrastructure, field governance and digital transformation, inquires how new digital organizational forms, such as platforms, affect institutional fields, their infrastructure and thus their governance. For each of these perspectives, we outline an agenda for future research, complemented by a brief discussion of new research frontiers (i.e., digital work and sites of technological (re-)production; artificial intelligence (AI) and actorhood; digital transformation and grand challenges) and methodological reflections.

The purpose of this study is to investigate the various enablers of and constraints on employees' information sharing on an enterprise social media platform. It draws on two theoretical perspectives, communication privacy management theory and the technology affordance framework, as well as on empirical data in an attempt to paint a comprehensive picture of the factors shaping employees' decisions to share or not share information on enterprise social media.

This qualitative field study is based on semi-structured interviews and enterprise social media review data from a large Nordic media organization.

On an enterprise social media platform, privacy management principles shape employees' information-sharing decisions in relation to personal privacy boundaries, professional boundaries and assumed risks, online safety concerns and perceived audience. Additionally, the technological affordances of visibility, awareness, persistence and searchability shape employees' information sharing in varying and sometimes even contradictory ways. Finally, organizational factors, such as norms, tasks and media repertoires, are associated with employees' information-sharing decisions. Together, these three dimensions, personal, technological and organizational, form a model of the enablers of and constraints on employees' decisions to share information on enterprise social media.

This study extends the understanding of different factors shaping employees' decisions to share or not share information on enterprise social media. It extends the two applied theories by uniquely combining interpersonal privacy management principles with a technological affordance framework that focuses on the relationship between the user and the technology. This research also furthers the authors' knowledge of what privacy management principles mean in the organizational context. This study shows connections between the two theories and extends the understanding of technology affordances as not only action possibilities but also constraining factors. Additionally, by revealing what kinds of factors encourage and inhibit information sharing on enterprise social media, the results of this study support organizations in their efforts to manage information sharing on enterprise social media systems.