6 research outputs found

    Sustainable tourism modelling: pricing decisions and evolutionarily stable strategies for competitive tour operators

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    In this article, we investigate two competitive tour operators (TOs) who choose between traditional tourism strategy (strategy T) and green tourism innovation strategy (strategy G). Our article attempts to address the following important issues using evolutionary game models: when would TOs facing environment-friendly tourists adopt the strategy G? How do TOs set product prices under different strategy combinations? How can the government effectively motivate TOs to pursue green tourism? Our research results show that a green tourism innovation pioneer could monopolize the market under certain conditions. Furthermore, when the environmental preference of tourists is sufficiently low, no TOs would adopt the strategy G; when it is moderate, only the TO with cost advantage (stronger TO) would adopt the strategy G; when it is sufficiently high, both TOs would select the strategy G. Our research also demonstrates that the stronger TO implements the strategy G mostly independent of the rival’s decisions, but the opposite is true for the TO with cost disadvantage (weaker TO). We further investigate potential government subsidies that can motivate TOs to carry out green tourism simultaneously. Our results suggest that to be more effective, the government first offer the green subsidy to highly competitive tourism locations and/or more innovative TOs

    Wholesale pricing and evolutionarily stable strategies of retailers with imperfectly observable objective

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    This paper develops a one-population (indirect) evolutionary game model of a supply chain with one manufacturer/supplier and many (a sufficiently large number of) retailers to study how the retailer's marketing objective depends on the wholesale price, its observability, the error probability of the observed result on the rival's preference, the market scale and the retailer's bargaining power. This paper also presents an algorithm for computing the optimal wholesale price of the manufacturer. We find that the profit (revenue) maximization behavior is an evolutionarily stable marketing strategy if the wholesale price is sufficiently high (low). Given an appropriate wholesale price, the revenue maximization behavior coexists with the profit maximization behavior in the retailers' population. The larger the market scale, the stronger the motivation of the retailer to take profit maximization behavior due to a higher wholesale price. The cross effects of the retailer's reservation payoff and the other factors should be considered in the decision process.Marketing objective Wholesale pricing Evolutionarily stable strategy Game theory

    Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

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    The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios

    Firm ecologies: life science and video game industries in Liverpool

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    This research examines the life science and video games industries in Liverpool. Previous research on agglomerations and cities tends to focus on epicentres or high concentration places such as Silicon Valley or global cities such as London and Tokyo, neglecting the northern post-industrial cities such as Liverpool, Leeds or Newcastle. Equally, many studies tend to focus in on one particular industry, whereas this research examines two key knowledge economy sectors in one place. Petilis (2012) argues that the cluster literature has become overemphasised and lacks analytical ability in the investigation of smaller firms and highly diverse concentrations of activity. An alternative ecological perspective is used in this thesis, which is considered more reflexive and flexible to the composition of the agglomerations seen outside the epicentres of the global economy. Using the heterarchical approach, as outlined by Grabher (2001), this research investigates the emergence and organisation of Liverpool’s life science and video game industries. It reveals the changing composition of the industries in Liverpool and how firms are connected into wider production networks beyond Liverpool. Finally, the research analyses how the two industries are situated in the anatomy of the city. The key findings are generated from a mixed methodology utilizing qualitative semi-structure interviews with owner-managers, industry informants and supporting institutions. Secondary quantitative data has been used gathered from annual reports, company websites, industry association and office for national statistics. Firstly, it is argued that the two industries emerged in Liverpool under different conditions and are on different trajectories, conditioned by local events and global mechanisms in the wider industry. Such trajectories have aided the rise or the fall of various structures and institutions within the city of Liverpool. This has resulted in a life science industry that resembles an institutionally thick anatomy and a video games industry that resembles an institutionally thin anatomy. Secondly, key findings regarding the organisation and connections beyond Liverpool highlight the fact that both industries show a lack of internal connectivity within the ecology and depend significantly on their external connections for inputs in production. For the life sciences this is exacerbated with the high level of product diversity between firms decreasing the likelihood of potential internal connectivity in production or joint resource utilization between firms. Thus firms rely on their external connections for finance and resources in order to further the production of their products through licensing and merger and acquisition agreements. Thirdly, the video games industry has gained greater autonomy over production analogues to that of the industry norm. For the life sciences, the rigidity in the generic business model is reinforced by the high levels of regulation and intellectual property protections and reduces the ability of some smaller firms to complete a product. Overall, we see two key knowledge economy sectors emerging with changing degrees of functionality as a result of global changes in the industry and the development of institutional infrastructures around these two sectors
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