data processing

In the contemporary business landscape, organizations face unprecedented levels of market volatility and complexity. Traditional decision-making tools often fall short in navigating these uncertain environments. This paper discusses the emergent capabilities of predictive and prescriptive analytics powered by Artificial Intelligence (AI) in aiding strategic decision-making. We explore the technological advancements that allow businesses to process vast amounts of data and generate insightful forecasts and recommendations. Drawing on diverse case studies, we analyze the efficacy of AI analytics in real-world business scenarios and discuss the evolution of these tools to handle ambiguities inherent in business data. The paper also addresses the ethical considerations and advocates for frameworks to ensure responsible AI utilization in strategic decisions. The results highlight a significant potential for AI to revolutionize decision-making protocols, thus enabling businesses to maintain a competitive edge in volatile markets.

The Special Issue on “Recent Advances, Challenges and Future Trends in eHealth Informatics” of Journal of Information Technology Management (JITM) presents advancing research, technologies, and applications in this rapidly developing field of eHealth care. Focusing on a collection of key topics such as health wireless devices; hardware and body sensors and software sensing technologies, Internet of Medical Things (IoMT), Trending health analysis with social networking mobile/cellular networks and body area networks; health information technology, Bigdata analytics; genomics, personal genetic information and much more. Recent Advances, Challenges and Future Trends in eHealth Informatics section has provided a platform for authors, reviewers, researcher around world to present their discoveries and innovations in modernizing the eHealth informatics field. This Special Issue aims to address diverse topics that require new scientific contributions such as healthcare methods and digital devices use in social and health care, influence of the use of the internet/social networks, specific interventions in health and social care using digital health to change clinical and social status, Healthcare Internet of Things (HIoT), digital applications for public health, or patient empowerment and participatory care through digital technologies.

This research is done in a mixed way (thematic analysis and data mining). In the first step, based on the qualitative method of thematic analysis, the effective factors of knowledge-based career path planning with a high-performance approach and data processing approach are identified. The investigated population is the managers and decision-makers of Zone Ten of Iran's gas transmission operations. 10 people were purposefully selected and interviewed. These people had more than 10 years of work experience in this organization. Using the six-step coding method, the interviews were entered into the MAXQDA software, and the effective factors on career path planning with a high-performance approach based on organizational knowledge were identified. Data was collected in SPSS format and used as input in WEKA software. The path of career development in this research was determined based on the dimensions of individual factors, organizational factors, empowerment strategies, management strategy, culture-building strategies, process development, and management processes. The operationalization of these factors in data mining showed that the situation of the predicted career path has significant differences from the reality of the organization. This procedure can be improved by periodic knowledge extraction and long-term performance evaluation. The obtained results showed that the knowledge-oriented career path emphasizes the empowerment of employees in a specialty. The level of knowledge participation of employees does not only mean that the employee shows useful behaviors for the organization within the organization, but also includes the attitude of people towards the company and recognizing their existential value in the company.