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Article
Publication date: 7 October 2021

Jianran Liu and Wen Ji

In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive…

Abstract

Purpose

In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to model and analyze this complex interactive network. This paper aims to model and demonstrate the evolution of crowd intelligence using visual complex networks.

Design/methodology/approach

This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence.

Findings

The authors use the complex network to construct the cooperative behavior and self-organizing system in crowd intelligence. Determine the evolution mode of the node by constructing the interactive relationship between nodes and observe the global evolution state through the force layout.

Practical implications

The simulation results show that the state evolution map can effectively simulate the distribution, interaction and evolution of crowd intelligence through force layout and the intelligent agents’ link mode the authors proposed.

Originality/value

Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

Details

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

Keywords

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Book part
Publication date: 25 July 2008

Julie M. Hite

Dyadic multi-dimensionality informs the variation that exists within and between network ties and suggests that ties are not all the same and not all equally strategic…

Abstract

Dyadic multi-dimensionality informs the variation that exists within and between network ties and suggests that ties are not all the same and not all equally strategic. This chapter presents a model of dyadic evolution grounded in dyadic multi-dimensionality and framed within actor-level, dyadic-level, endogenous, and exogenous contexts. These contexts generate both strategic catalysts that motivate network action and bounded agency that may constrain such network action. Assuming the need to navigate within bounded agency, the model highlights three strategic processes that demonstrate how dyadic multi-dimensionality underlies the evolution of strategic network ties.

Details

Network Strategy
Type: Book
ISBN: 978-0-7623-1442-3

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Article
Publication date: 2 July 2020

Harini K.N. and Manoj T. Thomas

The purpose of this paper is to provide an overview of the available insights regarding interorganizational network evolution. The research questions being addressed are…

Abstract

Purpose

The purpose of this paper is to provide an overview of the available insights regarding interorganizational network evolution. The research questions being addressed are as follows: What is the nature of interorganizational network evolution? And what causes interorganizational network evolution? The review hence focuses on the nature of interorganizational network evolution (at the ego-network level and whole-network level) and the causes of interorganizational network evolution (firm-related causes and environmental causes). This paper highlights relevant gaps in the existing literature on interorganizational network evolution while outlining a research agenda by identifying key research questions and issues requiring further scholarly contributions to stimulate research in this field.

Design/methodology/approach

An extensive review of scholarly peer-reviewed English language journal articles was conducted in the subject areas of economics, sociology, business and management (including entrepreneurship) while excluding articles in the domain areas of computer science that dealt with computer networks and the health field that addressed neural networks to obtain articles on interorganizational network evolution for the period 1970-2019. Various journal databases such as EBSCO, ScienceDirect (Elsevier), Emerald, JSTOR and ABI/INFORM and Ebook Central on ProQuest were used to extract relevant articles using specific keywords.

Findings

To better understand this phenomenon of interorganizational network evolution, there is a need for future studies to focus on the less researched areas such as the “nature of evolution” of EINR1, EINR3 and EINR4 and the “causes of evolution” of FRC3, FRC5, FRC7 and FRC8. Further, over the years, in comparison to the evolution of interorganizational network relationships (EINR), fewer works have considered the evolution of overall interorganizational network structure (EINS). The research studies on environmental causes (EC) have been less in number in comparison to firm related causes (FRC), and this could be an area for further research. Also, studies on interorganizational network evolution have not examined the impact of FRC1 on EINR 3 and only a few studies have examined the impact of FRC1 on EINR1 and EINR4. Less attention has been given to the impact of FRC2 on EINR1, EINR3, EINR4 and EINS. Additionally, the impact of FRC3 on EINR1, EINR3 and EINS needs more in-depth examination. The impact of FRC4 on EINR4; FRC5 on EINR1, EINR2 and EINR4; FRC6 on EINR1 and EINS; and FRC7 and FRC8 on all forms of “nature of interorganizational network evolution” requires more research work. Finally, the impact of EC on EINR3 and EINR4 is also a less researched stream in the literature needing more scholarly contribution to better understand the phenomenon under consideration in this study. Some of the least explored theoretical lenses and relevant questions that can be addressed using these lenses to advance research on network evolution have also been discussed.

Originality/value

The main contribution of this paper is that it provides a comprehensive literature review, collating the dispersed knowledge on interorganizational network evolution – nature of evolution and causes of evolution, identifying areas that require further research attention for the development of this domain.

Details

Journal of Business & Industrial Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0885-8624

Keywords

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Article
Publication date: 17 August 2010

Mikko V.J. Heikkinen and Sakari Luukkainen

Mobile peer‐to‐peer communications is an essential phase in the evolution of mobile communications technologies, motivating this research which aims to focus on how

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1470

Abstract

Purpose

Mobile peer‐to‐peer communications is an essential phase in the evolution of mobile communications technologies, motivating this research which aims to focus on how established industry stakeholders and new entrants can adapt themselves to the new situation.

Design/methodology/approach

Based on existing literature, the authors identified three distinctive evolution paths for mobile peer‐to‐peer communications and developed an analysis framework for their comparison. The authors validated the analysis by conducting a questionnaire study among domain experts, and analyzed its results using statistical analysis.

Findings

Internet‐driven evolution has high value proposition, is profitable and has subscription fees as an important revenue model. Telecom‐driven evolution creates value, leverages markets, leverages competence, is likely to encounter regulatory intervention and benefits all customer segments. Proprietary evolution has a successful revenue model, results in alliances of competitors and is competence‐enhancing to mobile device vendors.

Research limitations/implications

Future work consists mainly of analyzing quantitatively the implications of the new technologies when they become readily available and evaluating the value analysis framework in other applicable cases.

Practical implications

Internet‐driven evolution enables new business opportunities to independent service operators and equipment vendors by enabling opportunities in profiting from sales of advanced devices and networks. Telecom‐driven evolution benefits mostly incumbent mobile network operators. Proprietary evolution enables limited competition against incumbent actors by independent service operators.

Originality/value

This study is one of the first journal publications on mobile peer‐to‐peer communications from a holistic techno‐economic point of view, beneficial to both academics and practitioners.

Details

info, vol. 12 no. 5
Type: Research Article
ISSN: 1463-6697

Keywords

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Article
Publication date: 9 September 2013

Mario Štorga, Ali Mostashari and Tino Stanković

The paper aims to provide a methodology by which organisational knowledge can be extracted and visualised dynamically over time, providing a glimpse into the knowledge

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1931

Abstract

Purpose

The paper aims to provide a methodology by which organisational knowledge can be extracted and visualised dynamically over time, providing a glimpse into the knowledge evolution processes that occur within organisations.

Design/methodology/approach

Recursive analysis of email interactions is offered as a case to account for the knowledge structure evolution related to the different programs of international non-governmental organization (INGO). Several methods are used: analysis of the network expansion to see whether the process is random or uniform is performed, visualisation of the network configuration changes throughout studied time period; and the statistical examination of network formation.

Findings

The results of the presented study indicate that content structure of electronic knowledge networks exhibits hierarchical and centralised tendencies. The social network analysis results suggest that INGO exhibits non-hierarchical and decentralized structure of the individuals contributing to the discussion lists.

Research limitations/implications

By providing the means to carry out network evolution analysis of content structure dynamics and social interactions, the presented work provides a means for probabilistically modelling patterns of organisational knowledge evolution.

Practical implications

The approach allows the exploration of the dynamics of tacit to explicit knowledge, from individual to the group and from informal groups to the whole organisation.

Originality/value

By displaying the large collection of the key phrases that reflected the evolution of the organisational knowledge structure over the time, organisational emails are placed in meaningful context explaining the language of the organisation and context of knowledge structure evolution.

Details

Journal of Knowledge Management, vol. 17 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 12 March 2019

Shiquan Wang, Guoyin Shang and Shuang Zhang

Concerning that limited explanation exists examining the function of corporate governance in trust processing within entrepreneurial network development, the purpose of…

Abstract

Purpose

Concerning that limited explanation exists examining the function of corporate governance in trust processing within entrepreneurial network development, the purpose of this paper is to explore trust evolution and the role of corporate governance in an entrepreneurial network.

Design/methodology/approach

This paper makes an innovative exploration based on the case study of NVC Lighting Holding Limited.

Findings

It proposes that in the initial period of network relationship which is based on entrepreneur’s individual social network and embodies sole social network embeddness, entrepreneurial network relies more on affective trust than contractual trust. When stepping into extending period of network relationship which reflects separate embeddedness of social and market network, however, entrepreneurial network has an equal reliance on both affective trust and contractual trust. With further development, when ushering in the phase of maturity which undergoes superimposing embeddedness of both social and market network, entrepreneur network inclines to rely more heavily on affective trust than contractual trust. During the whole process, it can be found that the reliance of entrepreneurial network on trust has the tendency to transfer from affective trust to contractual trust. Furthermore, decreasing of equity ratio of founders and strengthening of controlling right heterogeneity in the corporate governance have facilitated the transfer process and the entrepreneurs’ authority has restraining effect on the evolution of the process.

Originality/value

Through case study, this paper presents the trust evolution process in different stages of entrepreneurial network. Another important theoretic contribution of this paper is that it reveals the function of corporate governance in trust processing within entrepreneurial network development.

Details

Chinese Management Studies, vol. 13 no. 4
Type: Research Article
ISSN: 1750-614X

Keywords

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Book part
Publication date: 25 July 2008

Giovanni Battista Dagnino, Gabriella Levanti and Arabella Mocciaro Li Destri

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying…

Abstract

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronic's global network and of Toyota's supplier network in the US so as to allow an elucidatory empirical assessment of the theoretical representation elaborated in the article.

Details

Network Strategy
Type: Book
ISBN: 978-0-7623-1442-3

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Article
Publication date: 15 November 2011

Yang Cheng, Sami Farooq and John Johansen

The purpose of this paper is to examine the effect of changes at the manufacturing plant level on other plants in the manufacturing network and also investigate the role…

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2879

Abstract

Purpose

The purpose of this paper is to examine the effect of changes at the manufacturing plant level on other plants in the manufacturing network and also investigate the role of manufacturing plants on the evolution of a manufacturing network.

Design/methodology/approach

The research questions are developed by identifying the gaps in the reviewed literature. The paper is based on three case studies undertaken in Danish manufacturing companies to explore in detail their manufacturing plants and networks. The cases provide a sound basis for developing the research questions and explaining the interaction between different manufacturing plants in the network and their impact on network transformation.

Findings

The paper highlights the dominant role of manufacturing plants in the continuously changing shape of a manufacturing network. The paper demonstrates that a product or process change at one manufacturing plant affects the other plants in the same network by altering their strategic roles, which leads to the subsequent transformation of the manufacturing network.

Originality/value

A review of the existing literature investigated different elements of a manufacturing network independently. In this paper, the complex phenomenon of a manufacturing network evolution is observed by combining the analysis of a manufacturing plant and network level. The historical trajectories of manufacturing networks that are presented in the case studies are examined in order to understand and determine the future shape of the networks. This study will help industrial managers make more knowledgeable decisions regarding manufacturing network management.

Details

International Journal of Operations & Production Management, vol. 31 no. 12
Type: Research Article
ISSN: 0144-3577

Keywords

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Article
Publication date: 1 May 2015

Anna Paola Codini

This paper aims to investigate how the relationships among the different actors within the business networks affect the evolution of innovation along the different steps…

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1395

Abstract

Purpose

This paper aims to investigate how the relationships among the different actors within the business networks affect the evolution of innovation along the different steps of technology life cycle.

Design/methodology/approach

The study is supported by a longitudinal case study referred to a mechanical company operating in the knitting machineries industry. A triangulation method integrating multiple data sources in a multiple method design was used to gather data.

Findings

The longitudinal study supports the idea that interactions among the actors within the business networks heavily influence the technology evolution.

Research limitations/implications

Although the longitudinal case study reported in this paper refers to a period of time of about 10 years, our findings refer only to a single case study in a specific sector and so they cannot be generalized.

Practical implications

This paper provides important guidelines on how to manage the relationships emerging within a business network to influence the new technologies development.

Originality/value

The paper contributes to business networks literature, filling the gaps about how the relationships among the actors involved in a network can evolve over time and influence the evolution of technology in itself.

Details

Journal of Business & Industrial Marketing, vol. 30 no. 3/4
Type: Research Article
ISSN: 0885-8624

Keywords

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Book part
Publication date: 12 October 2011

Fanny Simon and Albéric Tellier

This chapter addresses ambidexterity at the individual level. Ambidexterity is defined as a company's ability to guarantee both short- and long-term successes by…

Abstract

This chapter addresses ambidexterity at the individual level. Ambidexterity is defined as a company's ability to guarantee both short- and long-term successes by simultaneously exploring new market or new technological paths and improving existing products. We demonstrate that this ability can result from the evolution of social networks linking individuals involved in idea development. We used a longitudinal approach that combined case study and social network structure analysis of the R&D center of a semiconductor company. Six cases have been selected according to the level of disruption of the first idea generated and the end result in terms of exploration and exploitation. For these six cases, data have been gathered from monthly project reviews, press articles and listings of patents. Seventy-four interviews with key actors in the idea-development process have also been conducted.We mapped the relationships between actors who have contributed to the development of the idea through creative thinking and/or helped it to be accepted both internally and externally over three-year windows. Consequently, two network pictures are drawn for each case, and network structure indicators are computed for these two representations. We created a description of network evolution and the consequences of this process on the level of disruption of the ideas involved. This research demonstrated that different network structures and types of connections are relied upon depending on the explorative or exploitative objectives of teams of individuals.

Details

Project-Based Organizing and Strategic Management
Type: Book
ISBN: 978-1-78052-193-0

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