58,241 research outputs found

    Trading Off between Flexibility and Product Platform Constraints for Effective Technology Introduction

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    Developing product platforms is an established method of reducing internal variety costs while delivering variety to customers. \ua0A critical aspect of a platform, that is expected to be used and extended for many years, is the ability to introduce new technologies and solutions effectively. Since these technological integration endeavours may challenge platform constraints, it is necessary to be able to assess the trade-off between their expected value and cost of realisation. New technologies can be integrated more easily into products derived from product platforms if they are flexible. However, introducing flexibility early can be wasteful, both in terms of resources used for the development of the platforms and the suboptimal design of products derived from the platform. In this study, a review of the existing literature is conducted and several case studies in the automotive sector are performed. Both technical and organizational factors are found to limit platform flexibility. This research supports the idea that the flexibility to integrate technology into existing platforms is a valuable property. Consequently, it is important to foster the ability to more objectively assess the value of proposed technology changes in organisations relying on product and production platforms.Finally, this thesis proposes a model-based methodology to trade off the flexibility of a product platform with the lifetime value it can deliver to its stakeholders. The methodology utilizes technology roadmaps, architectural modelling, value-driven design, and model-based simulations to establish the bandwidth of a product platform. As such, the constraints that the platform introduces for future derived products are balanced against valuable flexibility, which is defined as the flexibility of the platform to allow for more alternative designs, including using new technologies, of higher value in future products. The findings of this thesis have implications for the research of product platforms and their development, as well as for practitioners making decisions about product platforms with consideration to the uncertainty around the ways they will be used and upgraded in the future

    Remote sensing in support of conservation and management of heathland vegetation

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    New Models of Technology Assessment for Development

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    This report explores the role that ‘new models’ of technology assessment can play in improving the lives of poor and vulnerable populations in the developing world. The ‘new models’ addressed here combine citizen and decision-maker participation with technical expertise. They are virtual and networked rather than being based in a single office of technology assessment (as was the case in the United States in the 1970s-90s). They are flexible enough to address issues across disciplines and are increasingly transnational or global in their reach and scope. The report argues that these new models of technology assessment can make a vital contribution to informing policies and strategies around innovation, particularly in developing regions. They are most beneficial if they enable the broadening out of inputs to technology assessment, and the opening up of political debate around possible directions of technological change and their interactions with social and environmental systems. Beyond the process of technology assessment itself, the report argues that governance systems within which these processes are embedded play an important role in determining the impact and effectiveness of technology assessment. Finally, the report argues for training and capacity-building in technology assessment methodologies in developing countries, and support for internationally co-ordinated technology assessment efforts to address global and regional development challenges

    Crossing the death valley to transfer environmental decision support systems to the water market

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    Environmental decision support systems (EDSSs) are attractive tools to cope with the complexity of environmental global challenges. Several thoughtful reviews have analyzed EDSSs to identify the key challenges and best practices for their development. One of the major criticisms is that a wide and generalized use of deployed EDSSs has not been observed. The paper briefly describes and compares four case studies of EDSSs applied to the water domain, where the key aspects involved in the initial conception and the use and transfer evolution that determine the final success or failure of these tools (i.e., market uptake) are identified. Those aspects that contribute to bridging the gap between the EDSS science and the EDSS market are highlighted in the manuscript. Experience suggests that the construction of a successful EDSS should focus significant efforts on crossing the death-valley toward a general use implementation by society (the market) rather than on development.The authors would like to thank the Catalan Water Agency (AgĂšncia Catalana de l’Aigua), BesĂČs River Basin Regional Administration (Consorci per la Defensa de la Conca del Riu BesĂČs), SISLtech, and Spanish Ministry of Science and Innovation for providing funding (CTM2012-38314-C02-01 and CTM2015-66892-R). LEQUIA, KEMLG, and ICRA were recognized as consolidated research groups by the Catalan Government under the codes 2014-SGR-1168, 2013-SGR-1304 and 2014-SGR-291.Peer ReviewedPostprint (published version

    E-customer relationship management readiness in the banking industry: the case of Egypt

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    This study explores social and technical aspects of the electronic Customer Relationship Management (e-CRM) in Egypt. A pragmatic research approach using mixed methods with a range of stakeholders was employed. A framework is drawn in order to identify the main factors affecting e-CRM readiness in the Egyptian banking industry. In order to better understand the problem at hand, three different structured questionnaires were devised to survey a large number of bank employees and users. Data collected was analysed statistically using SPSS. Semi-structured interviews were also conducted with a small number of decision makers at five different banks, which allowed a more penetrating study in Egyptian banking industry. Quantitative method was used through distributing a questionnaire to employees in five banks. Data obtained from the questionnaire was triangulated with data gathered from other sources: interviews with branch managers and observations. Findings of the empirical research were evaluated against the framework suggested in the beginning leading to a final framework that assesses e-CRM readiness in banking industry. Findings revealed that the use of technology, organisational culture, corporate strategy and customer perceptions affect e-CRM readiness while the employees’ perception does not affect e-CRM readiness. The interpretation of the results illustrated that organisational culture and corporate strategy have a strong effect one-CRM readiness, whereas use of technology has a modest effect on it. The investigation was conducted mainly in Alexandria, as the second main city in Egypt. From the data analysis, supported by a review of literature, a revised framework was generated. When results were brought together, similarities and differences between employees, customers and bank managers helped the researcher better understand the problem at hand, derive conclusions and make recommendations to the main stakeholders, which would help promote and enhance the e-CRM in Egypt

    CASP-DM: Context Aware Standard Process for Data Mining

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    We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and model reuse handling. This new general context-aware process model is mapped with CRISP-DM reference model proposing some new or enhanced outputs
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