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Even though digital technologies such as cloud technologies are prevalent in transforming businesses, the role of employees and their digital skills in the process is, to a large extent, neglected. This article brings forward the novel concept of digital literacy to explore the role of employees in understanding the wide variety of opportunities of digital technologies and their actualization. By treating digital literacy as the antecedent of cognitive behavior of employees in utilizing cloud technology at companies, we apply the Theory of Planned Behavior (TPB) for analyzing preliminary empirical data collected from 124 Australian employees’ technology use intentionality and behavior. The quantitative analysis shows that the TPB holds for the utilization of cloud technology and there is a positive relationship between employees' digital literacy and the utilization of cloud technology at companies. Overall, the study contributes to the technology management literature by offering a workable construct to measure the digital skills of employees in the form of digital literacy. Further, it expands the TPB framework by introducing digital literacy as a perceived behavior control variable that helps to examine the role of employees in digital transformation. The paper ends with implications and limitations of our preliminary study, followed with suggestions for future studies.

This special issue (SI) aims to provide organizations with a theoretical, conceptual, and applied grounded discussion of the Digital Literacy of Employees and Organizational Transformation and Innovation to aid in innovative, sustainable development, and effective decision-making. By doing so, our SI hopes to expand the technology management discipline in understanding the human side of technological innovations.

This article aims empirically to assess the indirect effect of two critical environmental factors, technological turbulence and research and development (R&D) incentives on corporate performance through strategic agility (SA) and business model innovation. Based on dynamic capabilities theory, this study explains how business environmental factors trigger a chain of events by initially influencing SA that further drives the renewal of the business model, ultimately leading to an increase in performance. The data from 410 Turkish companies are analyzed through the structural equation modeling method, giving details of the causality relationships related to the sequential effects according to a firm's sector. Findings highlight that the impact of R&D incentives remains relatively low compared to the impact of technology turbulence, and the observed effects change according to the industry in which a firm operates. After discussing detailed results and summarizing contributions, this article concludes by suggesting future research topics.

This article aims to understand the definition and dimensions of artificial intelligence (AI) literacy. Digital technologies, including AI, trigger organizational affordances in workplaces, yet few studies have investigated employees’ AI literacy. This article uses a bibliometrics analysis of 270 articles to explore the meaning of AI literacy of employees in the extant literature. Descriptive statistics, keyword co-occurrence analysis, and a hierarchical topic tree are employed to profile the research landscape and identify the core research themes and relevant papers related to AI literacy's definition, dimensions, challenges, and future directions. Findings highlight four sets of capabilities associated with AI literacy, namely technology-related, work-related, human-machine-related, and learning-related capabilities, pointing also to the importance of operationalizing AI literacy for non AI professionals. This result contributes to the literature associated with technology management studies by offering a novel conceptualization of AI literacy and link it to the employee's role in digital workplaces. We conclude by inviting researchers to examine the effect of employee-technology interactions on employees’ AI literacy, which might improve the design and use of AI.