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Article
Publication date: 11 April 2016

Giustina Secundo, John Dumay, Giovanni Schiuma and Giuseppina Passiante

– The purpose of this paper is to provide a new framework for managing intellectual capital (IC) inside a university considering the collective intelligence perspective.

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1927

Abstract

Purpose

The purpose of this paper is to provide a new framework for managing intellectual capital (IC) inside a university considering the collective intelligence perspective.

Design/methodology/approach

The research method uses the fourth stage of IC research and adopts the collective intelligence approach. The underlying assumption behind the framework is to consider the university as a collective intelligence system in which the tangible and intellectual assets are coordinated towards the achievement of strategic goals.

Findings

The conceptual framework for IC management harnesses the power of IC, collectively created by the engagement of multiple stakeholders inside the university network. The main components are the final goal of a university (what); the collective human capital to achieve the goal (who); the processes activated inside the university (how); and finally the motivations behind the achievement of the goal (why).

Research limitations/implications

The research is exploratory and the framework offers opportunities for refinement. Future research is needed to verify the application of the framework to other organisations in the public sector intended as collective intelligence systems. A new perspective for managing IC in universities adopting the collective intelligence approach is developed. Contribution to the fourth stage (ecosystem) of IC research is highlighted, expanding the concept of IC value creation beyond the university into wider society.

Practical implications

The framework can be used to manage IC strategically in all the systems interpreted as collective intelligence systems in which the role of IC creation from multiple actors is relevant. This makes possible the understanding of how IC helps create value for the society and the region in which the university operates.

Originality/value

The originality of the paper is in bringing together issues usually dealt within the literature in separate domains, such as IC management and collective intelligence perspective. The concept of collective intelligence remains an unexplored field in relation to IC management in the public sector. The collective intelligence approach provides a novel contribution to managing IC and is intended to inspire future research.

Details

Journal of Intellectual Capital, vol. 17 no. 2
Type: Research Article
ISSN: 1469-1930

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Article
Publication date: 25 May 2018

Yen-Chih Huang and Yang-Chieh Chin

The purpose of this study is to explore the pivotal role that collective teaching plays in knowledge transfer between new product development teams. This study develops a…

Abstract

Purpose

The purpose of this study is to explore the pivotal role that collective teaching plays in knowledge transfer between new product development teams. This study develops a theoretical model of collective teaching, where team intelligence is its consequence and learning orientation cognitive skills are moderators.

Design/methodology/approach

Based on a questionnaire survey of 156 pairs of new product development project teams of information technology firms, the authors used partial least squares to test the study’s hypotheses.

Findings

The findings reveal that the use of collective teaching is positively related to team intelligence of recipient teams. In addition, T-shaped skills of source teams exert positive moderating influence on this relationship and so does a learning orientation of recipient teams.

Research limitations/implications

First, the sample firms used in the study are from the IT industry, which is characterized by extremely short product life cycles, thereby limiting the generalizability of the study’s findings. Second, the authors did not examine whether the effect of T-shaped skills is different at various NPD stages; the contributions of each functional expertise may vary depending on the NPD stage (e.g. the idea generation or pre-launch stage). Third, the use of cross-sectional design precludes a causal inference. The role of focal constructs and moderators and their consequent effects would benefit from more stringent, longitudinal research. Finally, the authors controlled for only a limited set of factors of team intelligence because other potential antecedents of this variable still await identification by future studies.

Practical implications

This study suggests that the implementation of collective teaching can enhance the capacity of a project team as a whole to manage and innovate information, namely, team intelligence. The study’s findings also suggest that the management must recognize the significance of teams’ learning orientation and thereby proactively develop teams’ learning culture by redesigning work, reward systems or performance evaluation to promote learning. Additionally, it is prudent for managers to reconsider their recruitment criteria to incorporate T-shaped skills.

Originality/value

This study represents the first step in developing an empirically grounded framework linking collective teaching with team intelligence. Additionally, the authors confirm that team intelligence is a four-dimensional construct.

Details

Journal of Knowledge Management, vol. 22 no. 6
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 18 June 2021

Meghna Goswami

This study aims to investigate the influence of social intelligence and collective efficacy on the fearlessness of change. Furthermore, this study investigates the…

Abstract

Purpose

This study aims to investigate the influence of social intelligence and collective efficacy on the fearlessness of change. Furthermore, this study investigates the mediation effect of collective efficacy and moderating role of management commitment to change in the relationship between social intelligence and fearlessness of change.

Design/methodology/approach

The analysis is based on data collected from 296 members of information technology and Banking Financial Services Industry organisations using a survey questionnaire. Hypotheses have been tested using structural equation modelling.

Findings

The findings show that social intelligence and collective efficacy positively influence fearlessness of change. Social intelligence also impacts collective efficacy positively. Further, collective efficacy acts as a mediator and management commitment to change acts as a moderator in the relationship between social intelligence and fearlessness of change.

Research limitations/implications

This study highlights the relevance of social intelligence in fostering a fearless attitude towards change for easy transition from the current organisational state to a new or desired state.

Practical implications

Organisational leaders must strive to develop a climate of fearlessness in organisations undergoing change so that the employees acquire this attitude of fearlessness and face the hurdles that come with change with a positive mind set.

Originality/value

This study is amongst the few such studies that examined the relationship amongst variables of this study.

Details

Journal of Accounting & Organizational Change, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1832-5912

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Article
Publication date: 22 March 2021

Younghan Lee and Dae-eun Kim

The current study aims to explain the influence of technological interactivity and media sociability on sport consumer value co-creation behavior via collective efficacy…

Abstract

Purpose

The current study aims to explain the influence of technological interactivity and media sociability on sport consumer value co-creation behavior via collective efficacy and collective intelligence.

Design/methodology/approach

Subjects were individuals who have a mobile smart device and experience of accessing sport-related community websites (n = 513). A face-to-face self-administered survey was employed based on the convenience sampling method. A structural equation modeling test was conducted to examine the relationships between the variables.

Findings

Technological interactivity and media sociability based on mobile smart devices improve sport consumers' collective efficacy, and media sociability positively affects collective intelligence. Also, perceived collective efficacy and collective intelligence in virtual communities induce consumers to engage in the value co-creation process more actively (i.e. consumer participation behavior and citizenship behavior). One of the key findings includes the significant role of media sociability in the process of value co-creation between consumers and sport organizations. Media sociability is more likely to contribute to improving sport consumers' collective efficacy and the development of intelligence than the properties of technological interactivity.

Originality/value

Research findings contribute to extending the body of knowledge in interactivity studies related to sport consumers' value co-creation behaviors in the virtual environment context.

Details

International Journal of Sports Marketing and Sponsorship, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1464-6668

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Article
Publication date: 1 June 2015

Erika Suárez Valencia, Víctor Bucheli, Roberto Zarama and Ángel Garcia

– The purpose of this paper is to focus on the underpinning dynamics that explain collective intelligence.

Abstract

Purpose

The purpose of this paper is to focus on the underpinning dynamics that explain collective intelligence.

Design/methodology/approach

Collective intelligence can be understood as the capacity of a collective system to evolve toward higher order complexity through networks of individual capacities. The authors observed two collective systems as examples of the dynamic processes of complex networks – the wiki course PeSO at the Universidad de Los Andes, Bogotá, Colombia, and an agent-based model inspired by wiki systems.

Findings

The results of the wiki course PeSO and the model are contrasted with a random network baseline model. Both the wiki course and the model show dynamics of accumulation, in which statistical properties of non-equilibrium networks appear.

Research limitations/implications

The work is based on network science. The authors analyzed data from two kinds of networks: the wiki course PeSO and an agent-based model. Limitations due to the number of computations and complexity appeared when there was a high order of magnitude of agents.

Practical implications

Better understanding can allow for the measurement and design of systems based on collective intelligence.

Originality/value

The results show how collective intelligence emerges from cumulative dynamics.

Details

Kybernetes, vol. 44 no. 6/7
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 16 September 2013

Tony Diggle

The purpose is to examine how collective intelligence initiatives can help address the challenge of water supply globally.

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362

Abstract

Purpose

The purpose is to examine how collective intelligence initiatives can help address the challenge of water supply globally.

Design/methodology/approach

The methodology used was desk research and interview. The paper commences with a review of collective intelligence as a subject area. It then assesses water as an issue, paying particular attention to the new set of World Water Scenarios currently being undertaken by the World Water Assessment Program of UNESCO and its latest World Water Development Report (2012). It considers the application of collective intelligence systems to the challenge of water provision with particular reference to a recent initiative led by the International Water Association (IWA), the IWA WaterWiki. It examines potential future developments from a collective intelligence viewpoint.

Findings

It is increasingly recognised that the drivers that affect water provision are linked to the change drivers of other global issues. There is a need to deal with the inadequacies of currently available water data. Online collective intelligence systems make it easier to set practical goals and monitor progress and send, receive and act on the latest research and new information. Complementary collective intelligence systems in other areas are needed.

Originality/value

The paper deals with current developments in the water sector. It will be of interest to all foresight professionals involved with this sector or collective intelligence.

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Article
Publication date: 11 April 2018

Chao Yu, Yueting Chai and Yi Liu

Collective intelligence has drawn many scientists’ attention in many centuries. This paper shows the collective intelligence study process in a perspective of crowd science.

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5017

Abstract

Purpose

Collective intelligence has drawn many scientists’ attention in many centuries. This paper shows the collective intelligence study process in a perspective of crowd science.

Design/methodology/approach

After summarizing the time-order process of related researches, different points of views on collective intelligence’s measurement and their modeling methods were outlined.

Findings

The authors show the recent research focusing on collective intelligence optimization. The studies on application of collective intelligence and its future potential are also discussed.

Originality/value

This paper will help researchers in crowd science have a better picture of this highly related frontier interdiscipline.

Details

International Journal of Crowd Science, vol. 2 no. 1
Type: Research Article
ISSN: 2398-7294

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Article
Publication date: 8 June 2012

Iulia Maries and Emil Scarlat

The purpose of this paper is to analyse the role of computational intelligence techniques in the process of communities' formation.

Abstract

Purpose

The purpose of this paper is to analyse the role of computational intelligence techniques in the process of communities' formation.

Design/methodology/approach

The paper develops a high performance genetic algorithm for community formation based on collective intelligence capacity. An experimental study is presented to illustrate the algorithm.

Findings

Collective intelligence does not represent the sum of individual intelligences, it is the ability of the community to complete more tasks than single individuals. The paper reveals the need for mechanisms that allow a large group of professionals to make decisions better than single individuals.

Practical implications

The genetic algorithm proposed in the paper may be used to obtain the optimal structure of a community, in terms of number of members and their role in the community.

Originality/value

The key concept is a new fitness index, an intelligence index, which is the optimal combination between intelligence and cooperation, and allows not only community formation, but also intelligence to be the driving principle in the community formation process.

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Article
Publication date: 16 August 2019

Morteza Moradi, Mohammad Moradi, Farhad Bayat and Adel Nadjaran Toosi

Human or machine, which one is more intelligent and powerful for performing computing and processing tasks? Over the years, researchers and scientists have spent…

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2436

Abstract

Purpose

Human or machine, which one is more intelligent and powerful for performing computing and processing tasks? Over the years, researchers and scientists have spent significant amounts of money and effort to answer this question. Nonetheless, despite some outstanding achievements, replacing humans in the intellectual tasks is not yet a reality. Instead, to compensate for the weakness of machines in some (mostly cognitive) tasks, the idea of putting human in the loop has been introduced and widely accepted. In this paper, the notion of collective hybrid intelligence as a new computing framework and comprehensive.

Design/methodology/approach

According to the extensive acceptance and efficiency of crowdsourcing, hybrid intelligence and distributed computing concepts, the authors have come up with the (complementary) idea of collective hybrid intelligence. In this regard, besides providing a brief review of the efforts made in the related contexts, conceptual foundations and building blocks of the proposed framework are delineated. Moreover, some discussion on architectural and realization issues are presented.

Findings

The paper describes the conceptual architecture, workflow and schematic representation of a new hybrid computing concept. Moreover, by introducing three sample scenarios, its benefits, requirements, practical roadmap and architectural notes are explained.

Originality/value

The major contribution of this work is introducing the conceptual foundations to combine and integrate collective intelligence of humans and machines to achieve higher efficiency and (computing) performance. To the best of the authors’ knowledge, this the first study in which such a blessing integration is considered. Therefore, it is believed that the proposed computing concept could inspire researchers toward realizing such unprecedented possibilities in practical and theoretical contexts.

Details

International Journal of Crowd Science, vol. 3 no. 2
Type: Research Article
ISSN: 2398-7294

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Article
Publication date: 21 April 2020

Stephan Kudyba, Jerry Fjermestad and Thomas Davenport

The evolving digital transformations of organizational processes involve vast complexities. Factors such as labor resources at the individual and team levels that…

Abstract

Purpose

The evolving digital transformations of organizational processes involve vast complexities. Factors such as labor resources at the individual and team levels that integrate and utilize information resources and evolving technologies to achieve collective intelligence are essential to this process. In order to better understand evolving demands of labor resources, existing research regarding worker/technology interactions for firm performance must be implemented and adapted to the changing market. This paper provides a conceptual research model enabling organizations to better understand the integration of worker/team attributes with collaboration modes, information resources and augmented technologies that yield effective collective intelligence for decision-making.

Design/methodology/approach

This manuscript includes a literature review on worker/team attributes interfacing with various technology platforms and the creation of collective intelligence. It then reviews complementary research including leadership elements for organizational outcomes and introduces more current work involving a digital transformation. The literature review provides the underpinnings for a conceptual model that incorporates essential elements for the creation of collective intelligence for decision-making and adds factors that are relevant for digital transformations. These elements include augmented technologies including cognitive technologies, collaborative platforms and worker attributes (skills, social sensitivity, leadership) all of which illustrate components of intellectual capital.

Findings

The paper summarizes key findings of existing research in worker/team interactions with technology platforms on organizational performance and provides an applied, conceptual research model incorporating these findings, along with new elements in the digital era for better identifying new worker requirements.

Originality/value

The value of this work is the introduction of an applied conceptual model based on established literature findings that includes new technologies (e.g. cognitive technologies), collaboration modes and worker/team attributes to address the requirements of the evolving knowledge worker in the digital era. It provides a framework to better understand more optimal resource allocations for the creation of collective intelligence and integrates the model components within an intellectual capital framework.

Details

Journal of Intellectual Capital, vol. 21 no. 6
Type: Research Article
ISSN: 1469-1930

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