线上社区群体智能：创新技术推动的决策与合作趋势

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本文标题"Emergence of Collective Intelligence in Online Communities"聚焦于线上社交领域中群体智能的形成和发展。随着科技的进步，特别是在创新性社交技术的推动下，研究者们探讨了在线社区如何作为集体智慧产生的理想环境。作者Monika Mačiulienė和Aelita Skaržauskienė来自立陶宛Mykolas Romeris University和Institute of Communication and Mediation，他们的研究重点关注集体智能(CI)出现的科学条件以及这些条件在具体情境中的发展预测。研究的核心内容围绕以下几个关键点展开： 1. 科学识别前提条件：研究首先关注的是确定在线社区中促使集体智能发展的必要因素。这可能包括网络结构、用户参与度、信息共享的透明度、以及技术工具的设计等。 2. 集体决策与创新：在线社区被设计成鼓励集体决策的地方，利用社交媒体和协作工具，用户可以共同解决复杂问题，提出新颖想法，并进行有效的知识管理。 3. 创造力与企业家精神：借助创新技术，社区成员能够激发创造力，促进创业思维的传播，这对于集体智慧的形成至关重要。 4. 直接沟通平台：研究将直接交流平台视为集体智能发展的核心环境，强调即时反馈和互动对于促进群体智慧的作用。 5. 质性研究方法：采用定性内容分析方法，通过对访谈数据的深入分析，揭示不同参与者之间的相似性、差异性和关系，以理解群体行为模式和智能涌现的过程。 6. 发展预测：基于研究结果，研究人员试图预测未来在线社区中集体智慧可能的发展趋势和影响，从而为相关策略制定者提供有价值的见解。该篇文章探讨了在线社区如何通过技术创新和人际交互来孕育集体智慧，其研究成果对于理解数字时代知识社会中的合作与创新具有重要意义。通过深入剖析在线社区的运作机制，研究为构建更加智慧型的社会网络提供了理论依据。

Emergence of collective intelligence in online communities

☆

Monika Mačiulienė

⁎

, Aelita Skaržauskienė

Mykolas Romeris University, Lithuania

Institute of Communication and Mediation, Mykolas Romeris University, Ateities st. 20, Vilnius, Lithuania

abstractarticle info

Article history:

Received 1 February 2015

Received in revised form 1 July 2015

Accepted 1 September 2015

Available online 11 November 2015

Keywords:

Collective intelligence

Online communities

Social indices

Knowledge management

The main focus of this study is on the scientiﬁcidentiﬁcation of preconditions for collective intelligence (CI) to

emerge and the prediction of possible development scenarios based on qualitative research results. The research

subject is online communities that use innovative social technologies encouraging collective decision making,

creativity, entrepreneurship and cooperation. The research treats such platforms of indirect communication as

envi ronments for th e development of CI. The qualitative content analysis aims at exploring similarities,

differences, and relations between interview segments and the theoretical framework for CI Potential Index.

Qualitative research allows to deepen the understanding of CI and speciﬁes a further direction for theoretical

and empirical research. The research conclusions lead to the re-design and alteration of the proposed methodo-

logical framework for CI Potential Index.

1. Introduction

The growing signiﬁcance of Web 2.0/3.0, social networks, wikis,

and other collaborative t echnologies in helping individuals and

groups to share knowledge through collect ive platfor ms is a gre at

source for organizational intellectual capital and “could help

human communities evolve the ir collective capabilit ies in an un-

precedented way” (Lykourentzou, Vergados, Kapetanios, & Loumos,

2011, p.217) . The Collective Intelligence (CI) approach is a funda-

mentally different perspectiv e t o how appl ications can support

human interaction and decision-making. Relevant research efforts

from various discip lines focus on the growing role of online collabo-

rative communities in the cooperation emergin g through online

communities. However, little research focuses on knowledge man-

agement techniques in civil society structures, most of which adapt

and use such softwar e in the ir activitie s and proje ct that software

in the form of online communitie s. Lett ieri, Borga, and Savoldelli

(2004) outline several causes of status quo in t his research ﬁeld.

First, they emphasize the highly diverse, unstable nature of manage-

able data. Second, the author s state that civil society s tructures do

not prioritize knowledge management in their activities. Re-

searchers present signiﬁcant result s in i dentifying the potential of

CI to solve various societal problems in modeling CI from a conceptu-

al point of view (Luo, Xia, Yoshida, & Wang, 2009), but according to

Lykourentzou et al. (2011, p.219) they do not focus on an essential

issue: “CI system design and optimization processes, through

which CI wi ll be able to emerge in a systemic manner.”

Section 2 introduces the theoretical framework for a CI Index and a

set of criteria for measuring CI in online communities. The methodology

for the CI Potential Index calculation allows the analysis, evaluation, and

assessment of signiﬁcant ch anges in CI systems and builds on a pre-

deﬁned questionnaire, automatic data collection, and their algorithmic

analysis. The proposed methodology will be empirically tested and ad-

justed according to the results of quantitative research, qualitative re-

search and experiment. This study presents and discusses the results

of a qualitative research study.

2. Toward theoretical framework for measuring CI

According to Lykourentzou (2011, p.224) online communities,

although different in functionality, “seem to share some basic common

attributes and provide the potential for the design of a general method-

ology that will allow the systematic development and optimization of CI

systems.”

The de sign of the CI Potential Index focuses on the creation of a

framework for the evaluation of online community projects and the

identiﬁcation of potential cases, which could become effective CI sys-

tems. A theoretical literature analysis sets the basis for the design of

an adequate and empirically tested framework (detailed results appear

in Skaržauskienė,Pitrėnait ė-Žilėnienė, Leichteris, Paunksnienė,&

Mačiulienė,2014

). This analysis leads to the identiﬁcation of three di-

mensions crucial for the CI potential: capacity, emergence and social

Journal of Business Research 69 (2016) 1718–1724

☆

The authors are grateful to contributions from Alicia Mas, University of Valencia, for

her careful reading and suggestions on revising this essay.

⁎ Corresponding author at: Institute of D igital Technologies, Mykolas Romeris

University, Ateities st. 20, Vilnius, Lithuania.

E-mail addresses: maciuliene@mruni.eu (M. Mačiulienė), aelita@mruni.eu

(A. Skaržauskienė).

http://dx.doi.org/10.1016/j.jbusres.2015.10.044

Contents lists available at ScienceDirect

Journal of Business Research

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