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Article
Publication date: 8 February 2016

A multilevel study of structural resilience in interfirm collaboration: A network governance approach

Robert Van de Graaff Randolph

The purpose of this paper is to develop the concept of a high performance alliance macro-culture as a multilevel construct reflective of resilient collaborative systems of…

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Abstract

Purpose

The purpose of this paper is to develop the concept of a high performance alliance macro-culture as a multilevel construct reflective of resilient collaborative systems of exchange within strategic alliances and explores the distinct capabilities of this multilevel approach in predicting alliance outcomes.

Design/methodology/approach

The hypotheses developed in this study are tested using primary data collected from 650 members of 15 non-profit organizations in two multi-organizational collaborative networks. Considering the multilevel nature of the study the structural hypotheses are tested using a multilevel confirmatory factor analysis and the predictive hypotheses are tested using multilevel structural equation modeling.

Findings

All but one structural hypothesis are supported and all predictive hypotheses are supported suggesting that a multilevel macro-cultural conceptualization is effective in exploring the relationship between collaborative exchange systems and their outcomes.

Research limitations/implications

Limitations stem from the generalizability of the data collected as the alliances formed by non-profit firms may not be wholly reflective of the alliance structures and goals of other firm types.

Originality/value

This study primarily contributes to multilevel study of strategic alliances and the study of collaborative norms and structures of allied groupings. The results of this study lend support to the importance of taking a network governance perspective and illustrate the limitations of traditional single-level approaches when studying interfirm collaborative networks and structural resilience therein.

Details

Management Decision, vol. 54 no. 1
Type: Research Article
DOI: https://doi.org/10.1108/MD-06-2015-0247
ISSN: 0025-1747

Keywords

  • Strategic alliances
  • Network governance

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Article
Publication date: 7 November 2016

Designing a performance measurement system for collaborative network

Sanna Pekkola and Juhani Ukko

The purpose of this paper is to examine how a performance measurement system (PMS) can be designed for a collaborative network and to identify which factors affect such a design.

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Abstract

Purpose

The purpose of this paper is to examine how a performance measurement system (PMS) can be designed for a collaborative network and to identify which factors affect such a design.

Design/methodology/approach

This is a single-case study of a collaborative network. The data have been collected from semi-structured interviews conducted during 2008-2009 and after the design process in 2010 and 2012, respectively.

Findings

The research results present a five-step process model for designing a PMS for a collaborative network. The findings show that a participatory development style that enhances socialisation, the positive development of a network culture and an outside facilitator all have beneficial effects on the design process.

Practical implications

The practical contribution of this study is related to knowledge about the PMS design process for a collaborative network to support its measurement-related development projects. This knowledge involves the phases of such a process as well as the various factors supporting or hindering it.

Originality/value

The study presents a PMS design process for the case network, which can be utilised in other collaborative networks in a similar context. It also highlights the most essential practical experiences related to this process.

Details

International Journal of Operations & Production Management, vol. 36 no. 11
Type: Research Article
DOI: https://doi.org/10.1108/IJOPM-10-2013-0469
ISSN: 0144-3577

Keywords

  • Collaboration
  • Performance measurement system
  • Performance management
  • Collaborative network

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Article
Publication date: 19 October 2012

Appraising interdisciplinary contributions to theory for collaborative (manufacturing) networks: Still a long way to go?

Rob Dekkers and Hermann Kühnle

Progress in theory building in the field of collaborative networks in manufacturing is preponderantly seen in contributions from disciplines outside manufacturing science…

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Abstract

Purpose

Progress in theory building in the field of collaborative networks in manufacturing is preponderantly seen in contributions from disciplines outside manufacturing science. Interdisciplinary research is one way of accelerating the development of appropriate theory for this emerging domain where industrial practice has moved beyond the state of the art of scientific knowledge for establishing workable, competitive solutions. The purpose of this paper is to examine to what extent interdisciplinary research has contributed to a better understanding of collaborative (manufacturing) networks.

Design/methodology/approach

To find out more about provenances of on‐going studies, to identify clusters of contributions and to provide direction for future work of researchers in this domain, publications of the past 22 years have been evaluated. To retrieve these contributions, a structured literature review has been undertaken by applying keywords to selected databases and using a strictly defined stepwise procedure. In total, 202 publications of all kinds have been evaluated.

Findings

From the analysis of the results, it appears that most interdisciplinary contributions to collaborative (manufacturing) networks rely on one original outside discipline for either developing solutions or advancing theoretical insight. Consequently, and after further analysis, it seems that researchers in collaborative networks hardly resort to multi‐disciplinary approaches, unless “natural”; further advances might arrive from stimulating these multi‐disciplinary avenues rather than sticking to more mono‐disciplinary, and less risky, takes on both applications and theoretical insight. A more detailed investigation of the value of contributions reveals that efforts to make interdisciplinary advances are either difficult or limited. Also, the findings indicate that researchers tend to follow a more “technical” approach to decision making by actors in networks rather than searching for a shift in paradigm.

Originality/value

While setting out these directions for future research and guiding research, this first‐of‐its‐kind review introduces the collaboration model as a systematic approach to collaborative (manufacturing) networks. This model might serve as a reference model to integrate disciplines for addressing the characteristics of Collaborative Networks. Its use in the review led to the finding that typical traits of networks, such as changeability, supplementary assets and decentralisation of decision making, are under‐researched.

Details

Journal of Manufacturing Technology Management, vol. 23 no. 8
Type: Research Article
DOI: https://doi.org/10.1108/17410381211276899
ISSN: 1741-038X

Keywords

  • Manufacturing industries
  • Research work
  • Interdisciplinary research
  • Theory building
  • Scientific impact

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Article
Publication date: 10 November 2020

Industry 4.0 collaborative networks for industrial performance

Leonardo Moraes Aguiar Lima Dos Santos, Matheus Becker da Costa, João Victor Kothe, Guilherme Brittes Benitez, Jones Luís Schaefer, Ismael Cristofer Baierle and Elpidio Oscar Benitez Nara

Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be…

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Abstract

Purpose

Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.

Design/methodology/approach

A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.

Findings

The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.

Practical implications

The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.

Originality/value

This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.

Details

Journal of Manufacturing Technology Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
DOI: https://doi.org/10.1108/JMTM-04-2020-0156
ISSN: 1741-038X

Keywords

  • Industry 4.0
  • Industrial performance
  • Technology
  • Manufacturing technology

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Book part
Publication date: 12 November 2018

Clarifying Collaborative Dynamics in Governance Networks

Margaret Stout, Koen P. R. Bartels and Jeannine M. Love

Governance network managers are charged with triggering and sustaining collaborative dynamics, but often struggle to do so because they come from and interact with…

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Abstract

Governance network managers are charged with triggering and sustaining collaborative dynamics, but often struggle to do so because they come from and interact with hierarchical and competitive organizations and systems. Thus, an important step toward effectively managing governance networks is to clarify collaborative dynamics. While the recently proposed collaborative governance regime (CGR) model provides a good start, it lacks both the conceptual clarity and parsimony needed in a useful analytical tool. This theoretical chapter uses the logic model framework to assess and reorganize the CGR model and then amends it using Follett’s theory of integrative process to provide a parsimonious understanding of collaborative dynamics, as opposed to authoritative coordination or negotiated cooperation. Uniquely, Follett draws from political and organizational theory practically grounded in the study of civic and business groups to frame the manner in which integrative process permeates collaboration. We argue that the disposition, style of relating, and mode of association in her integrative method foster collaborative dynamics while avoiding the counterproductive characteristics of hierarchy and competition. We develop an alternative logic model for studying collaborative dynamics that clarifies and defines these dynamics for future operationalization and empirical study.

Details

From Austerity to Abundance?
Type: Book
DOI: https://doi.org/10.1108/S2045-794420180000006005
ISBN: 978-1-78714-465-1

Keywords

  • Collaborative governance
  • Integrative Governance
  • integration
  • network management
  • process evaluation
  • Follett

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Article
Publication date: 26 September 2008

Collaborative supply chain network using embedded genetic algorithms

C.Y. Lam, S.L. Chan, W.H. Ip and C.W. Lau

The aim of this paper is to propose a genetic algorithms approach to develop a collaborative supply chain network, i.e. a supply chain network with genetic algorithms…

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Abstract

Purpose

The aim of this paper is to propose a genetic algorithms approach to develop a collaborative supply chain network, i.e. a supply chain network with genetic algorithms embedded (GA‐SCN), so as to increase the efficiency and effectiveness of a supply chain network.

Design/methodology/approach

The methodologies of the GA‐SCN are illustrated through a case study of a supply chain network of a Hong Kong lamp manufacturing company involving 10 entities, whose roles range from suppliers, purchasers, designers and manufacturers, to sales and distributors. A GA‐SCN is developed according to the information provided by the company, the performance results in the case study are discussed, and the concepts of network analysis are then introduced to analyze the equivalence structure of the developed GA‐SCN.

Findings

The genetic algorithms approach is a suitable approach for developing an efficient and effective supply chain network in terms of shortening the processing time and reducing operating time in the network: the processing time and operating cost are reduced by around 45 percent and 35 percent per order, respectively, in the case study.

Originality/value

This paper is the first known study to apply genetic algorithms for the development of a collaborative supply chain network to increase the competitiveness of a supply chain.

Details

Industrial Management & Data Systems, vol. 108 no. 8
Type: Research Article
DOI: https://doi.org/10.1108/02635570810904631
ISSN: 0263-5577

Keywords

  • Programming and algorithm theory
  • Supply chain management
  • Production management
  • Corporate strategy

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Article
Publication date: 2 May 2008

Collaborative forecasting in networked manufacturing enterprises

Raul Poler, Jorge E. Hernandez, Josefa Mula and Francisco C. Lario

This paper seeks to propose an overall model of collaborative forecasting for networked manufacturing enterprises.

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Abstract

Purpose

This paper seeks to propose an overall model of collaborative forecasting for networked manufacturing enterprises.

Design/methodology/approach

Contributions by several authors to collaborative forecasting have been analysed from different viewpoints. A collaborative‐forecasting model for networked manufacturing enterprises has been proposed and validated by means of a simulation study.

Findings

This model significantly reduces the inventory levels of the whole network and improves customer service.

Research limitations/implications

Simulation experiments were done with the enterprise network herein described. Future research will include the simulation of more complex enterprise network scenarios with different characteristics.

Practical implications

The model can be implemented node‐to‐node, since not all the companies in the network have to participate, thus facilitating implementation and propagation throughout the network.

Originality/value

The paper proposes a new structured planning and forecasting collaboration model for networked manufacturing enterprises.

Details

Journal of Manufacturing Technology Management, vol. 19 no. 4
Type: Research Article
DOI: https://doi.org/10.1108/17410380810869941
ISSN: 1741-038X

Keywords

  • Demand forecasting
  • Networking
  • Manufacturing industries
  • Simulation

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Article
Publication date: 18 October 2011

Developing a collaborative network organization: leadership challenges at multiple levels

Ellen Baker, Melanie Kan and Stephen T.T. Teo

The purpose of this paper is to examine a collaborative non‐profit network which is undergoing organizational change.

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Abstract

Purpose

The purpose of this paper is to examine a collaborative non‐profit network which is undergoing organizational change.

Design/methodology/approach

The authors present a case study of an employment‐services network in its first year of change, as the network implemented various activities to enhance its performance. A grounded‐theory approach was adopted to study the organizational and collaborative processes within the member‐site and Head‐Office levels.

Findings

It was found that member‐site leadership was the critical factor influencing site culture and site performance, and that high‐performing sites were initiating collaborative activities with other sites. Head‐Office leadership also influenced site performance and collaboration, but its initiatives were only moderately successful. The findings also indicate that change efforts should focus on leadership at both the site and network levels, and may need to begin with low‐performing sites.

Practical implications

The paper discusses the implications of leadership on the implementation of collaborative networks in the employment services sector.

Originality/value

The qualitative findings of the study add to, and help to explain, earlier research findings on the questions of how public sector organizations utilize various activities to implement collaborative networks and their impact on managerial practice.

Details

Journal of Organizational Change Management, vol. 24 no. 6
Type: Research Article
DOI: https://doi.org/10.1108/09534811111175797
ISSN: 0953-4814

Keywords

  • Australia
  • Public sector organizations
  • Change management
  • Collaboration
  • Network
  • Leadership

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Article
Publication date: 9 September 2014

Collaborative search using an implicitly formed academic network

Somu Renugadevi, T.V. Geetha, R.L. Gayathiri, S. Prathyusha and T. Kaviya

The purpose of this paper is to propose the Collaborative Search System that attempts to achieve collaboration by implicitly identifying and reflecting search behaviour of…

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Abstract

Purpose

The purpose of this paper is to propose the Collaborative Search System that attempts to achieve collaboration by implicitly identifying and reflecting search behaviour of collaborators in an academic network that is automatically and dynamically formed. By using the constructed Collaborative Hit Matrix (CHM), results are obtained that are based on the search behaviour and earned preferences of specialist communities of researchers, which are relevant to the user's need and reduce the time spent on bad links.

Design/methodology/approach

By using the Digital Bibliography Library Project (DBLP), the research communities are formed implicitly and dynamically based on the users’ research presence in the search environment and in the publication scenario, which is also used to assign users’ roles and establish links between the users. The CHM, to store the hit count and hit list of page results for queries, is also constructed and updated after every search session to enhance the collaborative search among the researchers.

Findings

The implicit researchers community formation, the assignment and dynamic updating of roles of the researchers based on research, search presence and search behaviour on the web as well as the usage of these roles during Collaborative Web Search have highly improved the relevancy of results. The CHM that holds the collaborative responses provided by the researchers on the search query results to support searching distinguishes this system from others. Thus the proposed system considerably improves the relevancy and reduces the time spent on bad links, thus improving recall and precision.

Originality/value

The research findings illustrate the better performance of the system, by connecting researchers working in the same field and allowing them to help each other in a web search environment.

Details

Aslib Journal of Information Management, vol. 66 no. 5
Type: Research Article
DOI: https://doi.org/10.1108/AJIM-12-2013-0142
ISSN: 2050-3806

Keywords

  • Paper mining
  • Academic network formation
  • Collaborative Hit Matrix
  • Collaborative Web Search
  • Search behaviour

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Book part
Publication date: 14 November 2019

Collaborative Inquiry in Challenging Contexts

Mauricio Pino Yancovic, Alvaro González Torres, Luis Ahumada Figueroa and Christopher Chapman

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Details

School Improvement Networks and Collaborative Inquiry: Fostering Systematic Change in Challenging Contexts
Type: Book
DOI: https://doi.org/10.1108/978-1-78769-735-520191003
ISBN: 978-1-78769-738-6

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