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Article
Publication date: 7 July 2021

Hannan Amoozad Mahdiraji, Khalid Hafeez, Ali Asghar Abbasi Kamardi and Jose Arturo Garza-Reyes

This paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the…

Abstract

Purpose

This paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the international market.

Design/methodology/approach

The present study is contextualised in the Iranian pistachio export industry. An extensive review of the state-of-the-art literature on supplier collaboration was conducted to identify key capabilities that are essential to establish a collaborative network. The set of defined capabilities were then optimised through interviews with 14 experts from the relevant industry, academics and export authorities. A combination of the fuzzy Delphi method and the best–worst method (BWM) approach was, respectively, used to reduce the number of capability alternatives and assign priority weights to these alternatives. Subsequently, a weighted aggregated sum product assessment method (WASPAS) was employed to rank and evaluate the ability to creating a collaborative network for the export of pistachio.

Findings

From the extant literature review, 18 capabilities for the formation of coordination networks in the international markets were identified. Then, the prominent indicators in forming a global network were extracted. After ranking the top pistachio export countries/regions to formalise an efficient collaborative network, it was revealed that although Iran exports approximately 30% of the global market, it falls behind the USA and European Union. The competitors have scored higher in critical criteria, including “trust and commitment”, “strategy and management”, “managerial control and standardization” and “financial resources”.

Originality/value

The proposed hybrid approach encompassing fuzzy Delphi–BWM–WASPAS offers to solve the capability evaluation and selection as well as ranking the possible alternative to formalise a collaborative network in an integrated fashion. This combination of methods is capable to first identify the most important factors, then measuring their importance and eventually rank the possible alternatives. The suggested framework provides an approach to deal with the uncertainty of global collaborative network formation.

Details

Industrial Management & Data Systems, vol. 121 no. 10
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 8 February 2016

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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1077

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
ISSN: 0025-1747

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Article
Publication date: 7 November 2016

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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2374

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
ISSN: 0144-3577

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Article
Publication date: 19 October 2012

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…

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
ISSN: 1741-038X

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Article
Publication date: 11 November 2020

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…

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. 32 no. 2
Type: Research Article
ISSN: 1741-038X

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Book part
Publication date: 12 November 2018

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…

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.

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Article
Publication date: 26 September 2008

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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1252

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
ISSN: 0263-5577

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Article
Publication date: 2 May 2008

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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2883

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
ISSN: 1741-038X

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Article
Publication date: 18 October 2011

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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4670

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
ISSN: 0953-4814

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Article
Publication date: 16 September 2021

Atia Bano Memon, Kyrill Meyer and Muhammad Nawaz Tunio

The purpose of this paper is to suggest a conceptual framework of collaborative networking among structurally and functionally varying types of Innovation Laboratories…

Abstract

Purpose

The purpose of this paper is to suggest a conceptual framework of collaborative networking among structurally and functionally varying types of Innovation Laboratories, which will enable them to leverage upon diverse competencies of each other and thereby facilitate their clients (business organizations) throughout the innovation process.

Design/methodology/approach

The conceptual framework proposed herein is oriented around design science research, whereby the important constructs underpinning the development of framework are identified from existing literature. The framework is based upon two constructs, service-based categorization of extant Innovation Laboratories, and concepts of horizontal and vertical modes of inter-InnoLab collaboration (collaboration among Innovation Laboratories). The framework is subsequently developed in iterations based on experts’ views and discussions.

Findings

The conceptual framework presents eight different opportunities of interconnection among Innovation Laboratories including the four horizontal collaboration possibilities as network of mentors, network of process intermediaries, network of resource providers and network of network coordinators which are followed by four subsequent vertical collaboration possibilities among these horizontal collaboration networks. The proposed collaborative network of Innovation Laboratories enables undertaking of complete innovation process with four possible entry and four possible exit points for business organizations.

Originality/value

The conceptual framework proposed herein is first of its kind to suggest a worldwide collaborative networking among Innovation Laboratories. The applicability and usefulness of the framework is supported by the existing ad hoc type individual collaborative activities being exercised by different kinds of Innovation Laboratories as reported by Innovation Laboratory facilitators and observed in practical field.

Details

International Journal of Innovation Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-2223

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