Transforming collective knowledge into team intelligence: the role of collective teaching

Artificial Collective Intelligence Engineering: A Survey of Concepts and Perspectives

Collectiveness is an important property of many systems-both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals or even to produce intelligent collective behavior out of not-so-intelligent individuals. Indeed, collective intelligence, namely, the capability of a group to act collectively in a seemingly intelligent way, is increasingly often a design goal of engineered computational systems-motivated by recent technoscientific trends like the Internet of Things, swarm robotics, and crowd computing, to name only a few. For several years, the collective intelligence observed in natural and artificial systems has served as a source of inspiration for engineering ideas, models, and mechanisms. Today, artificial and computational collective intelligence are recognized research topics, spanning various techniques, kinds of target systems, and application domains. However, there is still a lot of fragmentation in the research panorama of the topic within computer science, and the verticality of most communities and contributions makes it difficult to extract the core underlying ideas and frames of reference. The challenge is to identify, place in a common structure, and ultimately connect the different areas and methods addressing intelligent collectives. To address this gap, this article considers a set of broad scoping questions providing a map of collective intelligence research, mostly by the point of view of computer scientists and engineers. Accordingly, it covers preliminary notions, fundamental concepts, and the main research perspectives, identifying opportunities and challenges for researchers on artificial and computational collective intelligence engineering.

Mapping knowledge-sharing behavior through emotional intelligence and team culture toward optimized team performance

Purpose

Research unveiled that interdisciplinary health-care teams are often found to be ineffective because of deprived team mechanisms. Considering effective team functioning, a leader’s non-cognitive abilities, knowledge-sharing behavior and the role of culture remain central concerns of health-care teams. This study aims to investigate how a leader’s emotional intelligence (EI) in a prevailing team culture can nurture the sharing of knowledge and enhance team EI that influences team performance.

Design/methodology/approach

The authors used multisource data representing a sample of 195 teams (735 respondents) to examine the hypothesized relationships by using the analytic strategy of partial least squares-structural equation modeling. This study bridged the methodological gap by using the repeated indicator approach that includes the reflective-formative second-order hierarchical latent variable model.

Findings

The results revealed a standpoint that leaders practicing the ability of EI influences team performance by understanding each other emotions in the leader–member relationship. Further, culture adds value and maps knowledge-sharing behavior which is tailored and beneficial for effective team outcomes.

Practical implications

This study provides valuable inputs by articulating uniquely modeled variables for health-care teams confronting high work demands. This study highlights that leaders' EI can enhance understanding of the emotions of the team and can exchange information by harnessing knowledge-sharing behavior amongst professionals.

Originality/value

This study provides a novel contribution by integrating leaders’ EI, knowledge-sharing behavior, the role of culture and team performance in a single framework. The integrated theoretical model sheds light on team working in the health-care setting and advances the understanding of a leader’s EI and team culture through mapping knowledge sharing particularly being central to enhancing team performance.

Impact of organizational learning culture on organizational effectiveness: a serial mediation analysis with knowledge sharing and employee competencies

Purpose

The main purpose of this study is to investigate the effect of learning culture and knowledge sharing (KS) on organizational effectiveness (OE). This study also proposed to investigate the role of employee competency in organizational success.

Design/methodology/approach

This study is based on the primary and secondary sources of data. The primary data comprises 392 responses from different information technology firms located in India, whereas secondary sources are based on journals, reports, company manuals, etc. The data was analyzed in partial least square-structural equation modeling using SMART-PLS 3.3 software.

Findings

This study confirms the conceptual model with the collected data. The key contributors to the model are organizational learning culture (OLC), KS, employee competencies (EC) and OE. The OLC and KS are the independent variables, and OE is the dependent variable, whereas the EC is the mediating variable in the research model. The findings reveal that there is a significant OLC on KS, EC and OE. Likewise, the relationship between KS and OE is also significant. The mediation analysis confirms the EC is significant for the relationships. However, the mediating effects of KS on the relationship between OLC and EC are not significant in this research.

Practical implications

An effective learning culture that leads to an increase in KS activities eventually enhances EC and promotes OE. It indicates that strengthening the learning culture will result in the promotion of knowledge sharing, and it is obvious that the employees’ competencies will increase when the employee is skilled and knowledgeable.

Originality/value

With references to different theories, this study provides an integrated model that shows the relationships between OLC, KS, EC and OE. By strengthening the OLC and KS, this relationship is benevolent to the success of the organization. The created framework paves the way for scholars to further explore insights from inside each component.

Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease: An Integrative Review

The non-development of the concept of patient knowledge empowerment for disease self-management and the non-development of the theory of patient knowledge empowerment in patients with chronic diseases, cause methodological inconsistency of patient empowerment theory and does not provide a methodological basis to present patient knowledge empowerment preconditions. Therefore, the aim of the present integrative review was to synthesize and critically analyze the patient knowledge enablers distinguished in the public health management theory, the knowledge sharing enablers presented in the knowledge management theory and to integrate them by providing a comprehensive framework of patient knowledge enablers. To implement the purpose of the study, in answering the study question of what patient knowledge empowerments are and across which levels of patient knowledge empowerment they operate, an integrative review approach was applied as proposed by Cronin and George. A screening process resulted in a final sample of 78 papers published in open access, peer-review journals in the fields of public health management and knowledge management theories. Based on the results of the study, the Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease Framework was created. It revealed that it is important to look at patient knowledge empowerment as a pathway across the empowerment levels through which both knowledge enablers identified in public health management theory and knowledge sharing enablers singled out in knowledge management theory operate. The integration of these two perspectives across patient empowerment levels uncovers a holistic framework for patient knowledge empowerment.