66 research outputs found

    Inventory reduction : applying a pull ordering system to a distribution business

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.Includes bibliographical references (leaf 32).This thesis is a description of an internship project at an aerospace parts distribution company. The goal of the project was to reduce inventory by applying a pull ordering system to the distributor's value chain. The thesis provides background on the theory of "push" vs. "pull" systems, and a discussion of how pull systems can reduce inventory while maintaining or improving service level. Typically, pull systems are applied to situations of relatively frequent and constant demand. Using a model developed for the internship company, we demonstrate that a two-bin kanban refill system can be applied to reduce inventory by 50-60%, even given a situation of volatile demand. We describe the pilot project (currently in progress) intended to prove out the kanban system's performance, including the team composition, implementation plan, and perceived barriers to implementation. In conclusion, we reflect on the project's results and present suggestions for future improvement.by Amber J. Chesborough.M.B.A.S.M

    KNOWNET: Exploring Interactive Knowledge Networking across Insurance Supply Chains

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    [EN] Social media has become an extremely powerful phenomenon with millions of users who post status updates, blog, links and pictures on social networking sites such as Facebook, LinkedIn, and Twitter. However, social networking has so far spread mainly among consumers. Businesses are only now beginning to acknowledge the benefits of using social media to enhance employee and supplier collaboration to support new ideas and innovation through knowledge sharing across functions and organizational boundaries. Many businesses are still trying to understand the various implications of integrating internal communication systems with social media tools and private collaboration and networking platforms. Indeed, a current issue in organizations today is to explore the value of social media mechanisms across a range of functions within their organizations and across their supply chains. .The KNOWNET project (an EC funded Marie Curie IAPP) seeks to assess the value of social networking for knowledge exchange across Insurance supply chains. A key objective of the project being to develop and build a web based interactive environment - a Supplier Social Network or SSN, to support and facilitate exchange of good ideas, insights, knowledge, innovations etc across a diverse group of suppliers within a multi level supply chain within the Insurance sector.The KNOWNET project is a 4 year project funded by the FP7 EC Industry-Academia Partnerships and Pathways (IAPP) - Marie Curie Actions.Grant, S. (2014). KNOWNET: Exploring Interactive Knowledge Networking across Insurance Supply Chains. International Journal of Production Management and Engineering. 2(1):7-14. https://doi.org/10.4995/ijpme.2014.1866SWORD71421Ardichvili, A., Page, V., & Wentling, T. (2003). Motivation and barriers to participation in virtual knowledge‐sharing communities of practice. Journal of Knowledge Management, 7(1), 64-77. doi:10.1108/13673270310463626Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network Analysis in the Social Sciences. Science, 323(5916), 892-895. doi:10.1126/science.1165821Boschma, R. A., & ter Wal, A. L. J. (2007). Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy. Industry & Innovation, 14(2), 177-199. doi:10.1080/13662710701253441BERNARDES, E. S. (2010). THE EFFECT OF SUPPLY MANAGEMENT ON ASPECTS OF SOCIAL CAPITAL AND THE IMPACT ON PERFORMANCE: A SOCIAL NETWORK PERSPECTIVE. Journal of Supply Chain Management, 46(1), 45-55. doi:10.1111/j.1745-493x.2009.03185.xBollinger, A. S., & Smith, R. D. (2001). Managing organizational knowledge as a strategic asset. Journal of Knowledge Management, 5(1), 8-18. doi:10.1108/13673270110384365Bredl K, Grob A, Hunniger J and Fleischer J(2012)'the Avartar as a Knowledge worker; How immersive 3D virtual environments may foster knowledge acquisition' Electronic Journal of Knowledge Management vol 10 issue 1 pp15-25Capó‐Vicedo, J., Mula, J., & Capó, J. (2011). A social network‐based organizational model for improving knowledge management in supply chains. Supply Chain Management: An International Journal, 16(4), 284-293. doi:10.1108/13598541111139099Carter, C. R., Ellram, L. M., & Tate, W. (2007). THE USE OF SOCIAL NETWORK ANALYSIS IN LOGISTICS RESEARCH. Journal of Business Logistics, 28(1), 137-168. doi:10.1002/j.2158-1592.2007.tb00235.xChesborough H (2003)'Open Innovation: The new imperative for creating and profiting from technology, Harvard Business School Press Cambridge MA.CHOI, T. Y., & WU, Z. (2009). TRIADS IN SUPPLY NETWORKS: THEORIZING BUYER-SUPPLIER-SUPPLIER RELATIONSHIPS. Journal of Supply Chain Management, 45(1), 8-25. doi:10.1111/j.1745-493x.2009.03151.xChungsuk R, Kim Y, Abhijit C & Raghav R(2005)'knowledge acquisition via three learning process in enterprise information portals: Learning by Investment, learning by doing and learning from others' MIS Quarterly june 2005 vol 29 issue 2 pp245-278Chiu C, Hsu M; Wang E (2006)' Understanding knowledge sharing in virtual communities: an integration of socisl capital and social cognitive theories' Decision support systems 42Ciborra, C. U., & Patriotta, G. (1998). Groupware and teamwork in R&D: limits to learning and innovation. R&D Management, 28(1), 43-52. doi:10.1111/1467-9310.00080Dede, C. (2009). Immersive Interfaces for Engagement and Learning. Science, 323(5910), 66-69. doi:10.1126/science.1167311Duan, W. (2009). Special issue on online communities and social network: An editorial introduction. Decision Support Systems, 47(3), 167-168. doi:10.1016/j.dss.2009.02.010Edwards, T., Battisti, G., & Neely, A. (2004). Value creation and the UK economy: a review of strategic options. International Journal of Management Reviews, 5-6(3-4), 191-213. doi:10.1111/j.1460-8545.2004.00103.xGanley, D., & Lampe, C. (2009). The ties that bind: Social network principles in online communities. Decision Support Systems, 47(3), 266-274. doi:10.1016/j.dss.2009.02.013Giannakis, M. (2008). Facilitating learning and knowledge transfer through supplier development. Supply Chain Management: An International Journal, 13(1), 62-72. doi:10.1108/13598540810850328Gilbert, M., & Cordey-Hayes, M. (1996). Understanding the process of knowledge transfer to achieve successful technological innovation. Technovation, 16(6), 301-312. doi:10.1016/0166-4972(96)00012-0Khan, A., & Khan, R. (2012). Embracing new media in Fiji: the way forward for social network marketing and communication strategies. Strategic Direction, 28(4), 3-5. doi:10.1108/02580541211212754Kotabe, M., Martin, X., & Domoto, H. (2003). Gaining from vertical partnerships: knowledge transfer, relationship duration, and supplier performance improvement in the U.S. and Japanese automotive industries. Strategic Management Journal, 24(4), 293-316. doi:10.1002/smj.297Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357-365. doi:10.1016/j.bushor.2009.03.002Mayer, A. (2009). Online social networks in economics. Decision Support Systems, 47(3), 169-184. doi:10.1016/j.dss.2009.02.009McLure Wasko, M., & Faraj, S. (2000). «It is what one does»: why people participate and help others in electronic communities of practice. The Journal of Strategic Information Systems, 9(2-3), 155-173. doi:10.1016/s0963-8687(00)00045-7Nonaka, I., & Konno, N. (1998). The Concept of «Ba»: Building a Foundation for Knowledge Creation. California Management Review, 40(3), 40-54. doi:10.2307/41165942Newell, S., and Swan, J. (2000) Trust and Inter-organizational Networking. Human Relations. Vol.53 No.10, 1287-1328.Ozkul, A., & Barut, M. (2009). Measuring supply chain relationships: a social network approach. International Journal of Integrated Supply Management, 5(1), 38. doi:10.1504/ijism.2009.026204S Wheeler (2007)in Moore, M. G. (1972) Learner autonomy: the second dimension of independent learning. Conver-gence, 5 (2) 76-88Seufert, A., von Krogh, G., & Bach, A. (1999). Towards knowledge networking. Journal of Knowledge Management, 3(3), 180-190. doi:10.1108/13673279910288608Swan, J., Newell, S., Scarbrough, H., & Hislop, D. (1999). Knowledge management and innovation: networks and networking. Journal of Knowledge Management, 3(4), 262-275. doi:10.1108/13673279910304014Tsai, K.-H. (2009). Collaborative networks and product innovation performance: Toward a contingency perspective. 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    Applying psychological type theory to cathedral visitors : a case study of two cathedrals in England and Wales

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    This study employs Jungian psychological type theory to profile visitors to Chester Cathedral in England and St Davids Cathedral in Wales. Psychological type theory offers a fourfold psychographic segmentation of visitors, distinguishing between introversion and extraversion, sensing and intuition, thinking and feeling, and judging and perceiving. New data provided by 157 visitors to Chester Cathedral (considered alongside previously published data provided by 381 visitors to St Davids Cathedral) demonstrated that these two cathedrals attract more introverts than extraverts, more sensers than intuitives, and more judgers than perceivers, but equal proportions of thinkers and feelers. Comparison with the population norms demonstrated that extraverts and perceivers are significantly under-represented among visitors to these two cathedrals. The implications of these findings are discussed both for maximising the visitor experiences of those already attracted to these cathedrals and for discovering ways of attracting more extraverts and more perceivers to explore these cathedrals

    Co-creation: Moving towards a framework for creating innovation in the triple helix

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    The objective of the paper is to demonstrate how the theoretical ideas of Service-Dominant Logic (S-D logic) can usefully be applied to innovation through collaboration between university, industry and government. The debate around S-D logic has stimulated much discussion around three areas that are particularly pertinent in considering the co-creation of knowledge within the Triple Helix. The first area relates to understanding the nature of the resources provided by all the parties involved and the process through which they are integrated. The second area relates to interaction between the parties involved. The third and most complex area relates to how value is perceived by the different parties. This discussion leads to a proposed model of the co-creation process and four suggested research agendas: Research Agenda One, relating to the resources supplied by the parties and their integration; Research Agenda Two, concerning the interaction practices that enhance co-creation; Research Agenda Three, exploring what value propositions will motivate the different parties to co-create; and Research Agenda Four, considering how co-creation modifies the resources of the parties involved. A model of the co-creation process that encompasses these four research agendas and provides a conceptual framework to analyse Triple Helix initiatives is proposed. Some practical implications are then discussed, relating to the challenges for researchers in identifying who to co-create with and understanding what value propositions will motivate potential partners

    ON THE PERFORMANCE OF NONPARAMETRIC SPECIFICATION TESTS IN REGRESSION MODELS

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    Some recently developed nonparametric specification tests for regression models are described in a unified way. The common characteristic of these tests is that they are consistent against any alternative hypothesis. The performance of the test statistics is compared by means of Monte Carlo simulations, analysing how heteroskedasticity, number of regressors and bandwidth selection influence the results. The statistics which do not use a bandwidth perform slightly better if the regression model has only one regressor; otherwise, some of the statistics which use a bandwidth behave better if the bandwidth is chosen adequately. These statistics are applied to test the specification of three commonly used Mincer-type wage equations with Uruguayan and Spanish data; all of them are rejected.

    An analysis of the main project organizational structures: advantages, disadvantages, and factors affecting their selection

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    Generally, we can define project organizational structures as organizational forms, based on temporary teams that are created to perform particular tasks and disappear after achieving the established goals. Whereas simple projects may require a limited number of steps and specializations, complex projects may be composed of plentiful of steps and require diverse and different specializations. As the project increases in size and design more units and specializations are added to the organizational structure contributing to both more vertical and horizontal organizational differentiation. Thus, when designing a project organizational structure the following questions must be answered: How many different specializations are included in the design of the project? How are the interrelatedness between the different elements of the project and between the different specializations? How many different activities are to be managed? In this paper, we analyse the three generic project organizational structures that are presented in the extant literature; functional, pure project, and matrix, together with their advantages and disadvantages. Furthermore, the most important factors that should be considered when designing a proper organizational structure are also analysed

    Home-owned versus foreign-owned firms in the UK automotive industry : exploring the microfoundations of ambidextrous production and supply chain positioning

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    The UK automotive industry is home to a large number of foreign firms, demonstrating the open nature of competition. However, the industry necessitates both exploitative and explorative capabilities. Contingency theory suggests that firms align their internal structure with contextual factors. As such, the aims of this study were to investigate whether it was possible to distinguish home-owned (UK) and foreign-owned firms based upon: a) the microfoundations of ambidextrous production, which are conceptualised as lean and agile routines; and b) the tier at which these firms operate in the automotive supply chain. Survey data were collected from 85 home-owned and 55 foreign-owned firms within the UK Midlands automotive industry. Logistic regression results revealed that home-owned firms were significantly more likely to be implementing explorative (agile) production methods, whereas foreign-owned firms were significantly more likely to be implementing exploitative (lean) production. Home-owned and foreign-owned firms were found to be significantly more likely to be operating upstream and downstream in the automotive supply chain respectively. Thus, the findings support a contingency theory explanation, suggesting that firms align their performance priorities with contextual factors, but we argue that home-owned and foreign-owned firms have evolved to compete based on their different innovative capabilities, which are located at different tiers of the automotive supply chain. On this basis, although neither home-owned nor foreign-owned firms were found to be endogenously ambidextrous, we argue that foreign-owned firms internationalise into the UK automotive sector to exploit the explorative capabilities acquired by home-owned firms operating upstream in automotive supply chains, thus enabling ambidextrous capabilities at an exogenous, industrial level
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