How Useful and Possible Collective Intelligence Technologies Are in Programming of Public Sector’s Decisions?
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Abstract
Purpose – to explore the essence of concepts of collective intelligence and collective intelligence technologies and to analyze their adaption possibilities in programming public sector’s decisions.
Design/methodology/approach – review of previous researches and systemic analysis of their findings in the field of intelligence generated by many and collective intelligence technologies is executed. Also, review of collective intelligence technologies and empirical research (qualitative analysis of expert statements) are employed. Finally, synthesis of study results into system of possibilities for adaption of existing collective intelligence technologies in programming public sector’s decisions is done.
Findings – collective intelligence concept is explored in depth. Collective intelligence technologies are overviewed and a course line for adaption in programming public sector’s decisions is presented. Differences between ministries and municipalities in comprehending decisions’ structure are presented. Decision characteristics for programming are given in relation to case appropriate social technologies.
Research limitations/implications – references used for the analysis on intelligence generated by many and collective intelligences technologies are not an exhaustive list within the field. Accomplished empirical research leans only upon analyses of Lithuanian experts. No technical insights into the technologies of collective intelligence are made.
Practical implications – findings of the paper provide suggestions for improving strategy of decision making process in public sector, due to which efficient model for participation of citizens (and residents) is possible.
Originality/value – the systemic analysis of concepts of collective intelligence and collective intelligence technologies and their adaption possibilities in public sector’s decisions is presented. A new viewpoint is given to means of citizens (and residents) participation in public matters. Programming of Lithuania’s public sector’s decisions is analyzed.
Research type: research paper.
Design/methodology/approach – review of previous researches and systemic analysis of their findings in the field of intelligence generated by many and collective intelligence technologies is executed. Also, review of collective intelligence technologies and empirical research (qualitative analysis of expert statements) are employed. Finally, synthesis of study results into system of possibilities for adaption of existing collective intelligence technologies in programming public sector’s decisions is done.
Findings – collective intelligence concept is explored in depth. Collective intelligence technologies are overviewed and a course line for adaption in programming public sector’s decisions is presented. Differences between ministries and municipalities in comprehending decisions’ structure are presented. Decision characteristics for programming are given in relation to case appropriate social technologies.
Research limitations/implications – references used for the analysis on intelligence generated by many and collective intelligences technologies are not an exhaustive list within the field. Accomplished empirical research leans only upon analyses of Lithuanian experts. No technical insights into the technologies of collective intelligence are made.
Practical implications – findings of the paper provide suggestions for improving strategy of decision making process in public sector, due to which efficient model for participation of citizens (and residents) is possible.
Originality/value – the systemic analysis of concepts of collective intelligence and collective intelligence technologies and their adaption possibilities in public sector’s decisions is presented. A new viewpoint is given to means of citizens (and residents) participation in public matters. Programming of Lithuania’s public sector’s decisions is analyzed.
Research type: research paper.
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