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    A review of factors influencing collaborative relationships

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    [EN] Collaboration is a term commonly used to refer to a type of inter-organizational relationship. However, in real business assessments, many collaborative relationships fail due to the lack of understanding of the factors influencing collaboration sustainability. For this reason, enterprises, prior to engage to a collaborative relationship, need to understand further which the main factors influencing collaboration relationships are, how they are structured and how they interact so that decision makers that desire to engage in a collaborative relationship/network focus not only on improving performance indicators but also on the factors that influence the results of those performance indicators. The purpose of this paper is to present a critical literature review of factors influencing collaborative relationships in order to perform a comparative study of the works for identifying main strengths and gaps for future research.Verdecho Sáez, MJ.; Alfaro Saiz, JJ.; Rodríguez Rodríguez, R. (2011). A review of factors influencing collaborative relationships. IFIP Advances in Information and Communication Technology. 362:535-542. doi:10.1007/978-3-642-23330-2_58S535542362Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative networked organizations - Concepts and practice in manufacturing enterprises. Computers & Industrial Engineering 57, 46–60 (2009)Simatupang, T.M., Wright, A.C., Sridharan, R.: Applying the theory of constraints to supply chain collaboration. Supply Chain Management: An International Journal 9(1), 57–70 (2004)Sabath, R.E., Fontanella, J.: The Unfulfilled Promise of Supply Chain Collaboration. Supply Chain Management Review (July/August 2002)Kampstra, R.P., Ashayeri, J., Gattorna, J.L.: Realities of supply chain collaboration. The International Journal of Logistics Management 17(3), 312–330 (2006)Supply Chain Management Review (SCMR) and Computer Sciences Corporation, CSC (2004);The second annual global survey of supply chain progress, www.csc.com/Busi, M., Bititci, U.S.: Collaborative performance management: present gaps and future research. International Journal of Productivity and Performance Management 55(1), 7–25 (2006)Lockamy, A., McCormack, K.: The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management: An International Journal 9(4), 272–278 (2004)Lejeune, M.A., Yakova, N.: On characterizing the 4 C’s in supply chain management. Journal of Operations Management 23(1), 81–100 (2005)Fiske, A.P.: Relativity within Moose (“Mossi”) culture: four incommensurable models for social relationships. Ethos 18, 180–204 (1990)Danese, P.: Collaboration forms, information and communication technologies, and coordination mechanisms in CPFR. International Journal of Production Research 44, 3207–3226 (2006)Birnbirg, J.C.: Control in interfirm co-operative relationships. Journal of Management Studies 25(4), 421–428 (1998)Boddy, D., Macbeth, D., Wagner, B.: Implementing collaboration between organizations: an empirical study of supply chain partnering. Journal of Management Studies 37(7), 1003–1018 (2000)Handfield, R.B., Bechtel, C.: Trust, power, dependence, and economics: can SCM research borrow paradigms? International Journal of Integrated Supply Chain Management 1(1), 3–32 (2004)Wilson, D.T.: An integrated model of buyer-seller relationships. In: Working Paper, Institute for the Study of Business Markets. The Pennsylvania State University, State College (1995)Bowersox, D.J., Closs, D.J., Stank, T.P.: How to Master cross-enterprise Collaboration. Supply Chain Management Review (July/August 2003)Barratt, M.: Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal 9(1), 30–42 (2004)Min, S., Roath, A.S., Daugherty, P.J., Genchev, S.E., Chen, H., Arndt, A.D.: Supply chain collaboration: what’s happening? The International Journal of Logistics Management 16(2), 237–256 (2005)Simatupang, T.M., Sridharan, R.: An integrative framework for supply chain collaboration. The International Journal of Logistics Management 16(2), 257–274 (2005)Burgess, K., Singh, P.: A proposed integrated framework for analysing supply chains. Supply Chain Management: An International Journal 11(4), 337–344 (2006)Gruat La Forme, F., Botta Genoulaz, V., Campagne, J.: A Framework to analyse Collaborative Performance. Computers in Industry 58, 687–697 (2005)Giannakis, M.: Performance Measurement of Supplier Relationships. Supply Chain Management; An International Journal 12(6), 400–411 (2007)Morgan, R.M., Hunt, S.D.: The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing 58, 20–38 (1994)Mohr, J., Spekman, R.: Characteristics of partnership success: Partnership attributes, communication behavior, and conflict resolution techniques. Strategic Management Journal 15(2), 135–152 (1994)Zineldin, M., Jonsson, P.: An examination of the main factors affecting trust/commitment in supplier-dealer relationships: an empirical study of the Swedish wood industry. The TQM Magazine 12(4), 245–256 (2000)Coote, L.V., Forrest, E.J., Tam, T.W.: An investigation into commitment in non-Western industrial marketing relationship. Industrial Marketing Management 32, 595–604 (2003)Wu, W.T., Chiag, C.Y., Wu, Y.J., Tu, H.J.: The influencing factors of commitment and business integration on supply chain management. Industrial Management & Data Systems 104(4), 322–333 (2004)Kwon, I.K., Suh, T.: Trust, commitment and relationships in supply chain management: path analysis. Supply Chain Management: An International Journal 10(1), 26–33 (2005)Geyskens, I., Steemkamp, J.B., Scheer, L.K., Kumar, N.: The effects of trust and interdependence on relationship commitment: A trans-Atlantic study. International Journal of Research in Marketing 13, 303–317 (1996)Pimentel Claro, D., Borin de Oliviera Claro, P., Hagelaar, G.: Coordinating collaborative joint efforts with suppliers: the effects of trust, transaction specific investment and information network in the Dutch flower industry. Supply Chain Management: An International Journal 11(3), 216–224 (2006)Cheng, J.H., Yeh, C.H., Tu, C.W.: Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal 13(4), 283–295 (2008)Matopoulos, A., Vlachopoulou, M., Manthou, V., Manos, B.: A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Management: An International Journal 12(3), 177–186 (2007)Handfield, R.B., Bechtel, C.: The role of trust and relationship structure in improving supply chain responsiveness. Industrial Marketing Management 31, 367–382 (2002

    Innovation and business performance - a provisional multi-regional analysis

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    Although much attention has focussed on the determinants of firms' innovation performance, the relationship between innovation and business performance is less well defined. In this paper we use data from identical plant level surveys conducted in six regions of the UK, Germany and Ireland to examine this relationship and identify some of the implications for regional innovation initiatives. The survey data used was collected by postal survey during 1999 and 2000. In all over 2000 plants responded to the surveys which provide regionally representative information about innovation activity, IT adoption and a number of indicators of business performance. Four main indicators of business performance are examined here: sales and employment growth, export performance, profitability and productivity (value added per employee). The analysis is based on a simultaneous econometric model explaining plants' innovation activity and business performance. Discussion focuses on a number of key themes. First, core-periphery differences are explored by contrasting analytical results for peripheral (Northern Ireland, Scotland) and 'core' regions (Bavaria, Baden-Wurttemberg) within the sample. Second, attention is focussed on the performance effects of firms, different innovation profiles relating to product and process development but also radical and more incremental innovation activity. Thirdly, contrasts between small and larger businesses are considered and the sensitivity of firms, innovation and performance to their operating environment is explored. The paper concludes with an assessment of the implications of the analysis for regional innovation initiatives and their potential impact on business development.

    Information technology and performance management for build-to-order supply chains

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    En las siguientes lĂ­neas se plantea un artĂ­culo de reflexiĂłn que tiene en cuenta parte del marco teĂłrico que sustenta la investigaciĂłn titulada “PrĂĄcticas pedagĂłgicas que promueven la competencia argumentativa escrita (CAE) en niños campesinos de los grados 4° y 5° del Centro Educativo Municipal La Caldera, Sede Principal de Pasto”, desarrollada en el año 2012. En Ă©l se contemplan los aportes de las ciencias del lenguaje y la comunicaciĂłn, la teorĂ­a de la argumentaciĂłn, la didĂĄctica de la lengua escrita y los gĂ©neros discursivos, que dan cuenta de la necesidad de desarrollar la capacidad crĂ­tica en los estudiantes a travĂ©s de la argumentaciĂłn, lo cual implica transformar las prĂĄcticas pedagĂłgicas para que se alejen de la transmisiĂłn de conocimientos y den paso a la comunicaciĂłn, para que la palabra escrita sea apropiada de manera significativa

    A Simulation Model Articulation of the REA Ontology

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    This paper demonstrates how the REA enterprise ontology can be used to construct simulation models for business processes, value chains and collaboration spaces in supply chains. These models support various high-level and operational management simulation applications, e.g. the analysis of enterprise sustainability and day-to-day planning. First, the basic constructs of the REA ontology and the ExSpect modelling language for simulation are introduced. Second, collaboration space, value chain and business process models and their conceptual dependencies are shown, using the ExSpect language. Third, an exhibit demonstrates the use of value chain models in predicting the financial performance of an enterprise

    How do supply chain management and information systems practices influence operational performance?:Evidence from emerging country SMEs

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    This study first provides a comparative analysis of the impact of supply chain management (SCM) and information systems (IS) practices on operational performance (OPER) of small- and medium-sized enterprises (SMEs) operating in two neighbouring emerging country markets of Turkey and Bulgaria. Then, we investigate moderating effects of both SCM–IS-linked enablers and inhibitors on the links between SCM and IS practices and OPER of SMEs. To this end, we first empirically identify the underlying dimensions of SCM and IS practices, and SCM–IS-related enabling and inhibiting factors. Second, a series of regression analyses are undertaken to estimate the impact of the study's constructs on OPER of SMEs. The results are discussed comparatively within the contexts of both Turkish and Bulgarian SMEs and beyond. The study makes a significant contribution to the extant literature through obtaining and analysing cross-national survey data of SCM and IS practices in emerging country markets

    Entrepreneurs'' attitude towards the computer and its effect on e-business adoption

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    This paper presents research exploring further the concept that many SMEs do not adopt computer based technologies due to decision maker's negative attitudes towards computers generally. Importantly, by assessing the entrepreneur's belief structure, we provide quantitative evidence how SMEs, particularly micros, are affected. Earlier research that addresses technology acceptance model (TAM) suggests that TAM parameters are particularly influential factors of e-commerce adoption, as perceived by top managers of SMEs. The model we develop is tested using a sample of 655 enterprises. The information was gathered, via a telephone survey of UK SMEs, from decisions makers in the enterprise. Technically, the paper uses k-means cluster analysis to segment respondents using the TAM perceptions, ease of use, usefulness and enjoyment. Based on two determined segments we look at the differential rate of adoption of internet, and the potential adoption of new e-collaborative technologies like video conferencing and electronic whiteboards. The diffusion of internet for low IT utility (LIT) segments was considerably slower than in the high utility segment (HIT). Similarly, the anticipated adoption of e-collaboration technologies was much lower for LIT than HIT. Interestingly, we find that LIT is populated by more micro SMEs than HIT. The results we present are limited however as our sample is considerably underweight in micro SMEs, suggesting that the problem may be much larger in the economy than our model predicts. For policy makers, this research confirms the value of knowledge transfer programs to SMEs in the form of technology support. Our research shows that organisations which have dedicated IT support will tend to be more advanced technologically than those that do not. The implication for entrepreneurs is if they can be persuaded that a technological route is beneficial to them, and that suitable support can be provided via KT, then operational efficiency gains could be made. This paper contributes to knowle

    A Proposal for Supply Chain Management Research That Matters: Sixteen High Priority Research Projects for the Future

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    On May 4th, 2016 in Milton, Ontario, the World Class Supply Chain 2016 Summit was held in partnership between CN Rail and Wilfrid Laurier University’s Lazaridis School of Business & Economics to realize an ambitious goal: raise knowledge of contemporary supply chain management (SCM) issues through genuine peer-­‐to-­‐peer dialogue among practitioners and scholars. A principal element of that knowledge is an answer to the question: to gain valid and reliable insights for attaining SCM excellence, what issues must be researched further? This White Paper—which is the second of the summit’s two White Papers—addresses the question by proposing a research agenda comprising 16 research projects. This research agenda covers the following: The current state of research knowledge on issues that are of the highest priority to today’s SCM professionals Important gaps in current research knowledge and, consequently, the major questions that should be answered in sixteen future research projects aimed at addressing those gaps Ways in which the research projects can be incorporated into student training and be supported by Canada’s major research funding agencies That content comes from using the summit’s deliberations to guide systematic reviews of both the SCM research literature and Canadian institutional mechanisms that are geared towards building knowledge through research. The major conclusions from those reviews can be summarized as follows: While the research literature to date has yielded useful insights to inform the pursuit of SCM excellence, several research questions of immense practical importance remain unanswered or, at best, inadequately answered The body of research required to answer those questions will have to focus on what the summit’s first White Paper presented as four highly impactful levers that SCM executives must expertly handle to attain excellence: collaboration; information; technology; and talent The proposed research agenda can be pursued in ways that achieve the two inter-­‐related goals of creating new actionable knowledge and building the capacity of today’s students to become tomorrow’s practitioners and contributors to ongoing knowledge growth in the SCM field This White Paper’s details underlying these conclusions build on the information presented in the summit’s first White Paper. That is, while the first White Paper (White Paper 1) identified general SCM themes for which the research needs are most urgent, this White Paper goes further along the path of industry-academia knowledge co-creation. It does so by examining and articulating those needs against the backdrop of available research findings, translating the needs into specific research projects that should be pursued, and providing guidelines for how those projects can be carried out
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