Online information search behaviour of physicians.

BACKGROUND: Although doctors increasingly engage in online information seeking to complement their medical practice, little is known regarding what online information sources are used and how effective they are. OBJECTIVE: Grounded on self-determination and needs theory, this study posits that doctors tend to use online information sources to fulfil their information requirements in three pre-defined areas: patient care, knowledge development and research activities. Fulfilling these information needs is argued to improve doctors' perceived medical practice competence. METHODS: Performing PLS-SEM analysis on primary survey data from 303 medical doctors practicing in four major Greek hospitals, a conceptual model is empirically tested. RESULTS: Using authoritative online information sources was found to fulfil all types of information needs. Contrarily, using non-authoritative information sources had no significant effect. Satisfying information requirements relating to patient care and research activities enhanced doctors' perceptions about their medical practice competence. In contrast, meeting knowledge development information needs had the opposite result. DISCUSSION: Consistent with past studies, outcomes indicate that doctors tend to use non-authoritative online information sources; yet their use was found to have no significant value in fulfilling their information requirements. CONCLUSIONS: Authoritative online information sources are found to improve perceived medical practice competence by satisfying doctors' diverse information requirements.

Exploring the online satisfaction gap of medical doctors: an expectation-confirmation investigation of information needs.

This research explores the satisfaction gap between the expectations of medical doctors when using the Internet to search for health-related information, and the confirmations they receive following the use of specific information sources to meet their information needs. We executed a quantitative study on 303 medical doctors to capture their online information-seeking behavior. Results suggest that authoritative online information sources are strongly related with the derived satisfaction of medical doctors' online information needs, whilst expectation fulfillment is not related with usage of non-authoritative sources. Nevertheless, doctors' perceptions regarding the information quality of online sources, and discerning personal constraints regarding Internet use, moderate the relationship between online source usage and the effectuation of their expectations.

Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes.

In recent years artificial intelligence (AI) has been seen as a technology with tremendous potential for enabling companies to gain an operational and competitive advantage. However, despite the use of AI, businesses continue to face challenges and are unable to immediately realize performance gains. Furthermore, firms need to introduce robust AI systems and mitigate AI risks, which emphasizes the importance of creating suitable AI governance practices. This study, explores how AI governance is applied to promote the development of robust AI applications that do not introduce negative effects, based on a comparative case analysis of three firms in the energy sector. The study illustrates which practices are placed to produce knowledge that assists with decision making while at the same time overcoming barriers with recommended actions leading to desired outcomes. The study contributes by exploring the main dimensions relevant to AI's governance in organizations and by uncovering the practices that underpin them.

Responsible Digital Transformation for a Sustainable Society.

In the ever-evolving area of digital transformation, following responsible and sustainable practices is essential. This editorial article discusses the importance of responsible digital transformation, emphasizing the need for academia, private and public organizations, civil society, and individuals to work together in developing digital business models that generate shared value while addressing societal challenges. The article highlights the emergence of corporate digital responsibility (CDR) and the shift from industry 4.0 to industry 5.0, which focuses on human-centric approaches and human-AI partnerships. Furthermore, it underscores the need for interdisciplinary research and systematic approaches encompassing various dimensions of sustainability. By integrating sustainable ICT principles into digital transformation initiatives, organizations can contribute to a more sustainable and responsible digital future. The suggestions in this paper, coupled with the nice research contributions included in the special issue, seek to offer a broader foundation to support responsible digital transformations for sustainable societies.

Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning.

E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning systems and its adoption and processes in organizations. Managers and employees who need efficient forms of training and learning flow within organizations do not have to gather in one place at the same time or to travel far away to attend courses. Contemporary affordances of e-learning systems allow users to perform different jobs or tasks for training courses according to their own scheduling, as well as to collaborate and share knowledge and experiences that result in rich learning flows within organizations. The purpose of this article is to provide a systematic review of empirical studies at the intersection of e-learning and organizational learning in order to summarize the current findings and guide future research. Forty-seven peer-reviewed articles were collected from a systematic literature search and analyzed based on a categorization of their main elements. This survey identifies five major directions of the research on the confluence of e-learning and organizational learning during the last decade. Future research should leverage big data produced from the platforms and investigate how the incorporation of advanced learning technologies (e.g., learning analytics, personalized learning) can help increase organizational value.

Toward the understanding of national culture in the success of non-pharmaceutical technological interventions in mitigating COVID-19 pandemic.

This study conceptually explores the relationship between a nation's culture and the success of utilizing various digital technologies to mitigate the spread of a pandemic, such as novel coronavirus (COVID-19). In the absence of a cure or vaccine of COVID-19, the national governments and public health authorities have been aggressively utilizing digital technologies to mitigate the pandemic spread. Given the urgency caused by COVID-19, this study highlights the importance of considering a country's national culture in evaluating the efficacy of a given digital technology, despite how promising or groundbreaking it may sound, in combating the spread of an infectious disease. Relying on the two critical dimensions of national culture, power distance and individualism/collectivism, this study proposes a framework that describes how people from different countries, depending on their prevalent national cultural values, would be receptive (or intolerant) to using government-run technology solutions meant for curbing the pandemic spread.