The Experts below are selected from a list of 48387 Experts worldwide ranked by ideXlab platform
David Pisinger - One of the best experts on this subject based on the ideXlab platform.
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liner shipping hub network design in a Competitive Environment
Transportation Research Part E-logistics and Transportation Review, 2010Co-Authors: Shahin Gelareh, Stefan Nickel, David PisingerAbstract:A mixed integer programming formulation is proposed for hub-and-spoke network design in a Competitive Environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share--which depends on the service time and transportation cost--by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach.
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Liner shipping hub network design in a Competitive Environment
Transportation Research Part E: Logistics and Transportation Review, 2010Co-Authors: Shahin Gelareh, Stefan Nickel, David PisingerAbstract:A mixed integer programming formulation is proposed for hub-and-spoke network design in a Competitive Environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share-which depends on the service time and transportation cost-by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach. © 2010 Elsevier Ltd.
Kuo Feng Huang - One of the best experts on this subject based on the ideXlab platform.
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Technology competencies in Competitive Environment
Journal of Business Research, 2011Co-Authors: Kuo Feng HuangAbstract:Although prior studies suggest that technology competencies play a significant role in firm innovation and Competitiveness, what and how technology competencies interacted with Competitive Environment affect firm innovation has not been fully understood. This paper fills this research gap through a questionnaire survey of 165 firms together with a number of interviews drawn from the Taiwan's information and communication technology (ICT) industry. The results suggest that capabilities of exploring or exploiting technological opportunities, core technology capability, and autonomy of R&D decisions are particularly important to firm innovation in a highly Competitive Environment, whereas over commitments to existing technologies may constrain a firm's innovation especially in such Environment. Moreover, different types of Competitive Environment require different types of technological competencies to enhance firm innovativeness. This paper contributes to the existing theory by examining the joint effect of technology competency and Competitive Environment on a firm's innovation.
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Technology competencies in Competitive Environment
Journal of Business Research, 2011Co-Authors: Kuo Feng HuangAbstract:Although prior studies suggest that technology competencies play a significant role in firm innovation and Competitiveness, what and how technology competencies interacted with Competitive Environment affect firm innovation has not been fully understood. This paper fills this research gap through a questionnaire survey of 165 firms together with a number of interviews drawn from the Taiwan's information and communication technology (ICT) industry. The results suggest that capabilities of exploring or exploiting technological opportunities, core technology capability, and autonomy of R&D decisions are particularly important to firm innovation in a highly Competitive Environment, whereas over commitments to existing technologies may constrain a firm's innovation especially in such Environment. Moreover, different types of Competitive Environment require different types of technological competencies to enhance firm innovativeness. This paper contributes to the existing theory by examining the joint effect of technology competency and Competitive Environment on a firm's innovation. © 2010 Elsevier Inc.
Shahin Gelareh - One of the best experts on this subject based on the ideXlab platform.
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liner shipping hub network design in a Competitive Environment
Transportation Research Part E-logistics and Transportation Review, 2010Co-Authors: Shahin Gelareh, Stefan Nickel, David PisingerAbstract:A mixed integer programming formulation is proposed for hub-and-spoke network design in a Competitive Environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share--which depends on the service time and transportation cost--by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach.
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Liner shipping hub network design in a Competitive Environment
Transportation Research Part E: Logistics and Transportation Review, 2010Co-Authors: Shahin Gelareh, Stefan Nickel, David PisingerAbstract:A mixed integer programming formulation is proposed for hub-and-spoke network design in a Competitive Environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share-which depends on the service time and transportation cost-by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach. © 2010 Elsevier Ltd.
Stefan Nickel - One of the best experts on this subject based on the ideXlab platform.
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liner shipping hub network design in a Competitive Environment
Transportation Research Part E-logistics and Transportation Review, 2010Co-Authors: Shahin Gelareh, Stefan Nickel, David PisingerAbstract:A mixed integer programming formulation is proposed for hub-and-spoke network design in a Competitive Environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share--which depends on the service time and transportation cost--by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach.
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Liner shipping hub network design in a Competitive Environment
Transportation Research Part E: Logistics and Transportation Review, 2010Co-Authors: Shahin Gelareh, Stefan Nickel, David PisingerAbstract:A mixed integer programming formulation is proposed for hub-and-spoke network design in a Competitive Environment. It addresses the competition between a newcomer liner service provider and an existing dominating operator, both operating on hub-and-spoke networks. The newcomer company maximizes its market share-which depends on the service time and transportation cost-by locating a predefined number of hubs at candidate ports and designing its network. While general-purpose solvers do not solve instances of even small size, an accelerated Lagrangian method combined with a primal heuristic obtains promising bounds. Our computational experiments on real instances of practical size indicate superiority of our approach. © 2010 Elsevier Ltd.
Alistair M Preston - One of the best experts on this subject based on the ideXlab platform.
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capital budgeting technological innovation and the emerging Competitive Environment of the electric power industry
Energy Policy, 1996Co-Authors: Shimon Awerbuch, Jesse F Dillard, Tom Mouck, Alistair M PrestonAbstract:Abstract For most of this century the electric utility industry has operated as a regulated natural monopoly which produced a commodity product in an Environment of low technological progress and sold it to a homogeneous captive market. Given these conditions, the primary capital budgeting issues involved the timing of capacity additions and the mix of base load and peaking capacity. This relatively simple and stable situation, however, has been eroded by market, regulatory and technological changes. As a consequence, old embedded capital budgeting approaches are hindering the pursuit of efficiency with respect to the production and distribution of electric energy. Our purpose in this paper is to assess traditional utility capital budgeting procedures and to explore possibilities for improvement. We begin with a review of traditional capital budgeting decision processes. Next, we overview the changes that have emerged over the last two decades and explore capital budgeting processes more appropriate to this ‘early Competitive Environment’. Finally, we project the changes a bit further and explore the capital budgeting techniques that may be useful in an ‘advanced Competitive Environment’.
