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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.

The study aims to explore the digital fashion trend within the Metaverse, characterized by non-fungible tokens (NFTs), across Twitter networks. Integrating theories of diffusion of innovation, two-step flow of communication and self-efficacy, the authors aimed to uncover the diffusion structure and the influencer's social roles undertaken by social entities in fostering communication and collaboration for the advancement of Metaverse fashion.

Social network analysis examined the critical graph metrics to profile, visualize, and cluster the unstructured network data. The authors used the NodeXL program to analyze two hashtag keyword networks, “#metaverse fashion” and “#metawear,” using Twitter API data. Cluster, semantic, and time series analyses were performed to visualize the contents and contexts of communication and collaboration in the diffusion of Metaverse fashion.

The results unraveled the “broadcast network” structure and the influencers' social roles of opinion leaders and market mavens within Twitter's “#metaverse fashion” diffusion. The roles of innovators and early adopters among influencers were comparable in collaborating within the competition venues, promoting awareness and participation in digital fashion diffusion during specific “fad” periods, particularly when digital fashion NFTs and cryptocurrencies became intertwined with the competition in the Metaverse.

The study contributed to theory building by integrating three theories, emphasizing effective communication and collaboration among influencers, organizations, and competition venues in broadcasting digital fashion within shared networks. The validation of multi-faceted Social Network Analysis was crucial for timely insights, highlighting the critical digital fashion equity in capturing consumers' attention and driving engagement and ownership of Metaverse fashion.

This case study examines the experiences of 20 student teachers at an Indonesian private university in enhancing their self-efficacy in utilizing instructional technology.

The participants of this study had different cultural backgrounds and spoke different indigenous languages. Situated in diverse classroom settings, the participants were interviewed using online platforms to examine their learning experience when learning to integrate technology into teaching. Furthermore, observational data were collected through photographs taken during the learning process to triangulate the findings.

Grounded in case study analysis, the study reveals three emerging themes indicating the development of the preservice teachers' confidence in multilingual classrooms: (1) designing technology-mediated learning activities, (2) using learning technology to foster students' autonomy in learning and (3) promoting peer engagement in diverse classrooms through technology-based learning. Furthermore, the participants demonstrated their ability to develop self-efficacy in overcoming the challenges associated with technology use in education by adapting, innovating, and collaborating.

The study has three limitations. First, the limited number of participants involved in the study restricts the generalizability of the findings and does not allow for testing the potential influence of variables such as age, gender or experience on preservice teachers' beliefs. Second, limitation pertains to the reliability of self-report data provided by the preservice teachers. Given that self-efficacy can fluctuate over time, a longitudinal study is needed to investigate whether preservice teachers' self-efficacy in utilizing technology for learning evolves over time. Third, while the study was conducted in diverse classroom settings, it lacks an in-depth exploration of how cultural diversity impacts the learning outcomes of these preservice teachers.

The findings suggest that nurturing the technological self-efficacy of preservice teachers enhances their competence in technology-mediated pedagogy, both during the pandemic of COVID-19 and in the future.

Enterprises in the digital context attach importance to the participation of heterogeneous subjects in co-creation activities. As the core source of organizational innovation, employees are bound to assume responsibilities or provide role value in the process of digital innovation. While employee-driven digital innovation frameworks are being explored, together with research on employee innovation behavior mostly focusing on the “net effect” of single-level variables on outcomes.

Following the interaction logic of employee level and organizational level, this study applies ability, motivation and opportunity (AMO) theory and fuzzy set qualitative comparative analysis to explore the influence of various digitization related factors' conditional configuration on employees' digital innovation behavior.

The results indicate that type of “self-motivation with multiple supports”, “organization-driven with digital oriented” and “digital-driven with ambidextrous complementary” constitute the configuration that drives high digital innovation behavior, while type of “cognitive deficit with environmental slack” and “fuzzy motivation with opportunity misapplication” constitute the configuration that drives nonhigh digital innovation behavior.

This conclusion enriches the theoretical research on digital innovation that regards individuals as action potentials and provides important guidance for how to cultivate and activate employees' digital innovation behaviors in management practice.

This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.

A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.

Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.

The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.

Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.

The purpose of this study is to investigate students’ attitudes, self-efficacy and emotional behaviour associated with online learning and the effectiveness of online learning.

A research model was formulated and analysed with the structural equation modelling technique. The respondents consist of 843 students pursuing their studies at a private university’s foundation, undergraduate and postgraduate levels. A two-step systematic approach was used using the SmartPLS version 3 software to conduct statistical analysis and draw meaningful insights.

The study’s findings have demonstrated that students’ attitudes and self-efficacy exhibit a positive relationship with online learning behaviour (OLB). It is observed that the students’ emotions are related to online learning effectiveness (OLE) and mediate the relationship between OLB and OLE. Furthermore, OLB partially mediates the relationship between attitude and OLE and between self-efficacy and OLE.

The operational instructions and digital resources have proven to be highly effective in providing valuable learning experiences to the students. As a result, the students are now expanding and applying their new encounters to a broader range of learning opportunities. This study has provided valuable insights for stakeholders, including scholars, higher education institutions and the Ministry of Higher Education, in providing the ideas of online learning or Web-based education.

The originality of this study sheds light on the role of OLB as a mediator. It was underlined that emotion is critical in improving students’ OLE. Thus, students’ attitudes and self-efficacy have been essential in reassuring OLB and enhancing OLE.

This interdisciplinary study aims to analyze how service organizations communicate sustainable beliefs in their social media narratives and use them to generate brand awareness, customer recognition and ongoing demand for sustainable service.

A two-phase exploratory analysis of 10,342 tweets from 2019–2020 was conducted by sustainable global corporations to identify best practices for their social media teams operating within a service-based business model. First, the significant themes were identified using an unguided machine learning approach of three types of firms: services, goods and mixed. Next, the full set of tweets with linguistic sentiment analysis was analyzed followed by a deeper view of the services-based organizations based on their strategic focus (business-to-business [B2B] versus mixed).

The findings indicate that tweets that appear to create the highest customer engagement are characterized as having high levels of analytical language, high clout (i.e. are socially relevant), a positive tone, a high number of words and a high number of words per sentence. On the other hand, having complex language in terms of six-letter words does not seem to associate with customer engagement. The last level of analysis shows that B2B services-based corporations with positive tone and higher word count exhibit higher levels of retweets. Implications include providing rational and informational tweets to increase engagement and highlight societal relevance.

Climate change has negative consequences on human and physical capital, and ecosystems across the globe. This study provides specific recommendations for how services corporations can increase their sustainable communications and actions.

The key implication of our research is that corporations must strategically design social media narratives about climate change as part of their online branding and communications process.

Digital transformations are altering service models and care delivery methods in healthcare. Artificial Intelligence (AI) represents the next wave of transformation in healthcare. This study aims to understand patient perceptions of AI and its impact on value co-creation.

A conceptual model was developed to investigate how value co-creation operant resources (digital self-efficacy and relational service quality) impact value co-creation engagement (shared decision-making) and value co-creation outcomes (anticipatory AI value co-creation and intention to adopt AI). Data were collected from 332 respondents and analyzed using structural equation modeling.

The results indicate that the value co-creation process for AI technologies is a function of inputs, experiences and AI outputs. Operant resources were found to be positively associated with shared decision-making. However, not all operant resources directly and positively impacted AI outcomes. The indirect and positive mediated relationships through shared decision-making to AI outcomes suggest an interactive AI value co-creation process.

AI technologies are still in early stages of consumer adoption in healthcare. Future research is warranted that investigates the validity of the model through maturing service life cycles.

Customer perceptions of new digital innovations are formed in the context of previous digital experiences. Marketers need to understand how customers view their current non-AI technologies. Strong engagement and perceived value of current technologies will help ease customers into the usage of AI technologies.

This study investigates the unique stages of the value co-creation process for AI technologies in healthcare. The results demonstrate that the value co-creation process is a function of inputs, tech-enabled experiences and AI outputs.

This study aims to study the factors that drive non-users of digital banking services rendered by Islamic banks in Malaysia towards their adoption of digital services in the banking 4.0 era using the innovation diffusion theory (IDT), also known as the diffusion theory of innovation (DOI).

IDT theory and literature on intention to adopt digital bank services were reviewed in a bid to contribute to the factors that drive non-users to adopt digital banking.

The review suggests that the adoption of digital banking is determined not only by perceived relative advantage, and perceived compatibility but also by additional factors in IDT theory, which are technology self-efficacy and perceived expected benefits. On the contrary, perceived complexity does not turn out to be a factor of digital banking adoption.

Considering this paper in terms of the limited scope of the theory rendered and the context, it should be given proper attention when interpreting future outcomes when further investigations are brought into play in terms of population and sampling method.

This paper serves as a guide to ensure the better planning of non-users’ adoption factors related to Islamic bank customers in both theory and practice.

DOI is extended in the context of digital banking, as evidenced by empirical results, and literature shows that IDT integrated with the technology self-efficacy model is yet to be proposed in the digital banking adoption by Islamic bank customers. Additionally, variables, namely, perceived expected benefits and technology self-efficacy, are proposed in IDT’s existing model. Current findings will therefore serve as a relevant reference for digital technology specialists, policymakers, Islamic banks’ IT managers, academicians and future researchers.

This study aims to integrate the social cognitive theory and flow theory to examine how e-skills self-efficacy (ESSE) and trust-building self-efficacy (TBSE) impact work-related flow in remote work. It also explores how work-related flow (WOLF) mediates the connection between these factors and employee resilience (ER) in the context of the growing shift toward remote work.

The study tested an empirical mediation model with 535 remote workers from Indian organizations that adopted remote work either before or during the pandemic. Hypotheses were tested using Hayes’ PROCESS macro.

The study confirmed the direct influence of ESSE and TBSE on WOLF. Moreover, a mediation analysis demonstrated that WOLF significantly mediates the association linking ESSE, TBSE and ER.

This study, evaluating experienced remote employees in the quaternary sector, offers data-driven insights for informed organizational decisions. These findings aims to guide HR and training departments in formulating recruitment and training strategies, emphasizing digital skill development to enhance knowledge and skills effectively.

This study highlights the need for remote workers and organizations to be aware of the challenges of remote work. It is among the first to explore the link between ESSE, TBSE and ER, addressing psychological factor, i.e. WOLF, often overlooked in organizational contexts.