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Titlebook: Information Technology in Environmental Engineering; Selected Contributio Burkhardt Funk,Peter Niemeyer,Jorge Marx Gómez Book 2014 Springer

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Municipalities and Sustainable Tourism: Challenges, Requirements and Added Valueboundaries. This chapter will indicate challenges, requirements and added value for municipalities with respect to sustainable tourism, by extending current sustainability guidelines based on a literature analysis and interviews done in the project “Next Generation CEMIS for Environmental, Energy and Resource Management” (IT-for-Green).
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A Standardisation of the Calculation of CO2(e) Emissions Along Supply Chains: Challenges and Requireropean standardisation has been taken. This research analyses in how far EN 16258 is able to build a basis for a global CO. emission calculation standard. Furthermore, it reflects how currently on-going work and efforts worldwide can lead to a further convergence of existing emission calculation tools.
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Investigating the Promotional Effect of Green Signals in Sponsored Search Advertising Using Bayesianation on the customers decision to buy a product by clicking on an ad on a search engine results page (SERP). We analyze campaign performance data from a European e-commerce retailer, apply a Bayesian parameter estimation to compare the two groups, and discuss the implications of the results.
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The Role of ICT in Green Logistics: A Systematic Literature Reviewotential benefits of the use of ICT for Green Logistics and unsolved research problems. With this, information gaps in current research are determined and recommendations for further research are presented.
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Green Big Data: A Green IT/Green IS Perspective on Big Datam the field of Big Data for Environmental Management Information Systems. We explore in a Green IT perspective, if already resource-efficient Big Data applications are discussed and in how far Big Data concepts can be applied for the design of resource-efficient business processes.
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Operational Integration of EMIS and ERP SystemsS and ERP systems. Our proposed framework goes beyond prior specifications as it offers a semi-automatic approach to model ERP information (such as production orders) as a material flow network in which each transition represents an operation of the production process.
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