Supply chain collaboration: conceptualisation and instrument development

Cao, Mei; Vonderembse, Mark A.; Zhang, Qingyu; Ragu-Nathan, T. S.

doi:10.1080/00207540903349039

Cited by 374 publications

(325 citation statements)

References 59 publications

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“…Faced with intensified global competitiveness, organisations make efforts to reach a greater collaboration in the SC by leveraging the resources and knowledge of the main suppliers and valuable customers (strategic members in the SC). This reduces the uncertainty, minimises operating costs, provides transparent information, creates opportunities for learning and knowledge, and improves competitive position [36][37][38].…”

Section: Integration Of Supply Chainsmentioning

confidence: 99%

A Fuzzy Expert System for the Integration of Collaborative Supply Chains

Bautista-Santos

Bernábe-Loranca

Sánchez‐Partida

et al. 2016

SAJIE

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The integration of supply chains has become a global operations strategy for many organisations because it allows them to improve customer service, minimise operating costs, and synchronise channels across the supply chain. This paper presents the design and implementation of a fuzzy expert system for the integration of collaborative supply chains. A measurement instrument that was statistically validated and formulated using a mathematical model was designed to implement the fuzzy expert system. This instrument was applied in 44 small-, medium-, and large-sized Mexican enterprises to determine their integration level. Specific actions were proposed, based on the results, to improve the attained integration level. OPSOMMINGDie integrasie van voorsieningskettings is deesdae 'n omvattende strategie vir baie organisasies, omdat dit hulle toelaat om kliëntediens te verbeter. Die ontwerp en implementering van 'n wasige ekspertstelsel word voorgehou. 'n Statisties gevalideerde meetinstrument wat met 'n wiskundige model geformuleer is, is ontwerp om die wasige ekspertstelsel te implementeer. Dié meetinstrument is in 44 klein, medium en groot Meksikaanse ondernemings toegepas om hulle integrasievlak te bepaal. Spesifieke aksies, gegrond op die resultate, is aanbeveel om die integrasievlak te verbeter.

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Section: Integration Of Supply Chainsmentioning

confidence: 99%

A Fuzzy Expert System for the Integration of Collaborative Supply Chains

Bautista-Santos

Bernábe-Loranca

Sánchez‐Partida

et al. 2016

SAJIE

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“…For this purpose, we developed a questionnaire following the research done by Zhang (2011) andCao et al (2010) and used the results of the qualitative study. Thus, 16 items were generated.…”

Section: Quantitative Studymentioning

confidence: 99%

Supply Chain Collaboration in Emerging Economies Moroccan Food, Textile and Leather Industries

Belhsen¹,

Nour-Eddine²,

Sentel³

et al. 2013

CUBR

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The aim of this research is to examine the collaborative behaviors of key suppliers and its effects on logistics and organizational performance of food, textile, and leather industries in an emerging economy: Morocco. The qualitative study and quantitative one are done. Techniques of content analysis are applied using Nvivo 9 software for the first study. Survey research and structural equation modeling using LISREL 8.7 was done for the second one.The results of qualitative study indicate that the concepts used are mainly important in industries. Supply chain collaboration affects strongly logistics performance rather than organizational performance. Also, Logistics performance has a great effect on organizational performance. One of the aim limitations of the current research may have been the nature of scale chosen. Logistic and organizational Performance is formative factors not reflective measures. Moreover, we should distinct those construct into qualitative and quantitative dimensions. In order to achieve greater organizational performance, more attention should be paid on logistic performance more than supply chain collaboration.

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“…Thus, strategic alignment and collaboration become paramount so that all players can benefit together (Angerhofer & Angelides, 2006). Collaboration in the supply chain is a multi-dimensional aspect that can be viewed in terms of information sharing, goal congruence, decision synchronization, incentive alignment, resource sharing, collaborative communication and joint knowledge creation (Simatupang & Sridharan, 2005;Cao et al, 2010;Wiengarten et al, 2010).…”

Section: Performance Management In Industrial Clustersmentioning

confidence: 99%

Analysis of the interplay between knowledge and performance management in industrial clusters

Lima

Carpinetti

2012

Knowledge Management Research & Practice

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The concept of industrial clustering has been studied in-depth by policy makers and researchers from many fields, mainly due to the competitive advantages it may bring to regional economies. Companies often take part in collaborative initiatives with local partners while also taking advantage of knowledge spillovers to benefit from locating in a cluster. Thus, Knowledge Management (KM) and Performance Management (PM) have become relevant topics for policy makers and cluster associations when undertaking collaborative initiatives. Taking this into account, this paper aims to explore the interplay between both topics using a case study conducted in a collaborative network formed within a cluster. The results show that KM should be acknowledged as a formal area of cluster management so that PM practices can support knowledge-oriented initiatives and therefore make better use of the new knowledge created. Furthermore, tacit and explicit knowledge resulting from PM practices needs to be stored and disseminated throughout the cluster as a way of improving managerial practices and regional strategic direction.

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Supply chain collaboration: conceptualisation and instrument development

Cited by 374 publications

References 59 publications

A Fuzzy Expert System for the Integration of Collaborative Supply Chains

A Fuzzy Expert System for the Integration of Collaborative Supply Chains

Supply Chain Collaboration in Emerging Economies Moroccan Food, Textile and Leather Industries

Analysis of the interplay between knowledge and performance management in industrial clusters

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