10,188 research outputs found

    Determinants of technology adoption in the retail trade industry - the case of SMEs in Spain

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    This paper analyzes the determinants of small and medium-sized enterprises’ technology adoption in the retail trade industry. From the theoretical perspective, two types of influential factors are differentiated in this respect: the personal characteristics of the manager/business owner and the business’s organizational characteristics. The empirical analysis is based on a survey of 268 small and medium-sized enterprises in the Spanish retail trade sector. A logistic regression specification is used as an econometric method. The results indicate that both the acquisition of new technical and electronic equipment and the obtaining of new software are affected by the two types of determinants previously pointed out. The manager/business owner’s entrepreneurial motivation and educational background have significant influences on technology adoption in this type of companies. Furthermore, being part of a business group, carrying out training activities for the employees and inter-firm cooperation also positively influence technology adoption in the retail trade industry

    Insinking: A Methodology to Exploit Synergy in Transportation

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    vehicle routing;cooperative games;retailing;insinking;Shapley Monotonic Path;Logistic Service Providers

    Innovation and the geographical and functional dimensions of outsourcing: An empirical investigation based on Italian firm level data

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    The paper investigates the diversified patterns of outsourcing in the Lombardy region and relates them to the probability of introducing product and process innovation. Based on a large firm-level survey, we show that outsourcing processes are strongly regionally embedded and that offshoring is still a limited phenomenon. Outsourcing strategies are shown to have a positive impact on firms’ innovation. In particular, the outsourcing of service activities contributes the most to innovation, thus suggesting that firms successfully pursue core strengthening strategies. Our econometric estimates show that both geographical and organizational proximity matter. Indeed, the positive association of services with innovation is strongly related to their regional dimension, which points toward the importance of local user-producer relationships. When outsourcing crosses national borders, keeping the outsourced activities at least loosely connected to the firm appears critical, as offshoring to non affiliated firms has a clear negative impact on innovation.Product Innovation, Process Innovation, Outsourcing, Offshoring

    Real-time optimization of an integrated production-inventory-distribution problem.

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    In today\u27s competitive business environment, companies face enormous pressure and must continuously search for ways to design new products, manufacture and distribute them in an efficient and effective fashion. After years of focusing on reduction in production and operation costs, companies are beginning to look into distribution activities as the last frontier for cost reduction. In addition, an increasing number of companies, large and small, are focusing their efforts on their core competencies which are critical to survive. This results in a widespread practice in industry that companies outsource one or more than one logistics functions to third party logistics providers. By using such logistics expertise, they can obtain a competitive advantage both in cost and time efficiency, because the third party logistics companies already have the equipment, system and experience and are ready to help to their best efforts. In this dissertation, we developed an integrated optimization model of production, inventory and distribution with the goal to coordinate important and interrelated decisions related to production schedules, inventory policy and truckload allocation. Because outsourcing logistics functions to third party logistics providers is becoming critical for a company to remain competitive in the market place; we also included an important decision of selecting carriers with finite truckload and drivers for both inbound and outbound shipments in the model. The integrated model is solved by modified Benders decomposition which solves the master problem by a genetic algorithm. Computational results on test problems of various sizes are provided to show the effectiveness of the proposed solution methodology. We also apply this proposed algorithm on a real distribution problem faced by a large national manufacturer and distributor. It shows that such a complex distribution network with 22 plants, 7 distribution centers, 8 customer zones, 9 products, 16 inbound and 16 outbound shipment carriers in a 12-month planning period can be redesigned within 33 hours. In recent years, multi-agent simulation has been a preferred approach to solve logistics and distribution problems, since these problems are autonomous, distributive, complex, heterogeneous and decentralized in nature and they require extensive intelligent decision making. Another important part in this dissertation involved a development of an agent-based simulation model to cooperate with the optimal solution given by the optimization model. More specifically, the solution given by the optimization model can be inputted as the initial condition of the agent-based simulation model. The agent-based simulation model can incorporate many other factors to be considered in the real world, but optimization cannot handle these as needed. The agent-based simulation model can also incorporate some dynamics we may encounter in the real operations, and it can react to these dynamics in real time. Various types of entities in the entire distribution system can be modeled as intelligent agents, such as suppliers, carriers and customers. In order to build the simulation model more realistic, a sealed bid multiunit auction with an introduction of three parameters a, Ăź and y is well designed. With the help of these three parameters, each agent makes a better decision in a simple and fast manner, which is the key to realizing real-time decision making. After building such a multi-agent system with agent-based simulation approach, it supports more flexible and comprehensive modeling capabilities which are difficult to realize in a general optimization model. The simulation model is tested and validated on an industrial-sized problem. Numerical results of the agent-based simulation model suggest that with appropriate setting of three parameters the model can precisely represent the preference and interest of different decision makers

    Innovative community-based computing for entrepreneurship

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    There are many reasons why people all over the world venture out to become entrepreneurs each year but many failed. One of the main reasons for failure is due to uninformed and lack of advice decisions and actions made by the inexperienced entrepreneurs. To support their inexperience, education, decision support systems and a virtual intelligence network could be established but these strategies have limitations. This paper discusses the possibility of using community-based computing to support entrepreneurship and how entrepreneurs could benefit from the collaboration
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