To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015), namely cardiovascular diseases, diabetes mellitus, Alzheimer’s disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.

Purpose: This study aims to explore the complex relationship between leadership and organizational knowledge sharing by investigating the moderating role of exchange ideology on the relation between transformational leadership in attributed charisma and knowledge sharing and the influence of attributed charisma and knowledge sharing on task performance. The influence of leadership in organizational knowledge sharing process has been gradually highlighted. Design/methodology/approach: Based on the review of relevant literature and survey, a structural equation model considering four factors in the model together is now constructed and provides four hypotheses which can be verified. Self-completed questionnaires were collected from 163 students in the context of a graduate class in China. Findings: The findings illustrate the relationship between leadership theory and knowledge sharing from a perspective of social exchange theory. In particular, results show that both transformational leadership and knowledge sharing have positive impacts to task performance and for individuals with low exchange ideology the positive influence from attributed charisma to knowledge sharing is stronger. Originality/value: This research introduces exchange ideology as a moderator and explains the complex relationship between transformational leadership and knowledge sharing with sufficient proof. Transformational leadership in attributed charisma is more effective to those individuals with low exchange ideology in facilitating their knowledge effort. This paper can be theoretically and practically helpful to researchers and enterprise leaders in organizational knowledge management.

Social networks research has grown exponentially over the past decade. Subsequent empirical and conceptual advances have been transposed in the field of education. As the debate on delivering better education for all gains momentum, the big question is how to integrate advances in social networks research, corresponding advances in information and communication technology (ICT) and effectively employ them in the domain of education. To address this question, this paper proposes a conceptual framework (maturity model) that integrates social network research, the debate on technology-enhanced learning (TEL) and the emerging concept of smart education.

(2018). Advanced decision-making in higher education: learning analytics research and key performance indicators. Behaviour & Information Technology: Vol. 37, Advanced Decision Making in Higher Education: Learning Analytics Research and Key Performance Indicators, pp. 937-940.

The aim of this paper is to analyze knowledge flows transfer within multinational corporations. In particular, it is focused on to what extent multinational companies can replicate headquarters’ human resource management systems in subsidiaries. This paper is structured into three major sections. The paper analyzes the transfer of knowledge flows in multinational companies. To analyze this “old problem” and shed light on its solution, the paper draws on the knowledge‐based view of the firm and reviews both seminal and recent contributions to this field of research. This paper develops a conceptual framework for the analysis of knowledge transfer at international level. It also examines the influence of four human resource management models (exported, adapted, hybrid and open models) on organizations. It addresses particular factors that influence the transferability of organizational knowledge such as the features of this knowledge and both organizational and national culture. Afterwards, these issues are addressed in the scenario of North‐American and Japanese multinational corporations. Multinational firms face important challenges in the actual economic environment. On the one hand, the firm must learn how to exploit its specific resources either acquired in the country of origin or in foreign markets. On the other hand, these firms cannot forget that the source of sustained competitive advantage takes place in the variety of skills and the diversity of knowledge, no in these resources homogeneity. Finally, multinational firms can benefit from international fertilization, because knowledge exploring and exploitation activities are closely relationed with the concepts of synergies, interdependence and interactive organizational learning. That is, the organizational capacity to innovate is the result of the interrelation among the units that form the firm. This paper offers a knowledge‐based view of the firm to help managers with the management of knowledge flows in multinational companies.