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The increasing amount of gathered sensor data in Industry 4.0 allows comprehensive data analysis software that creates value-adding opportunities. As companies often cannot implement such software by themselves and as they typically don't want to give their data to external scientists, they commission them to build the required software in order to execute it locally. However, installing, configuring,...
In today's competitive environment, having a customer oriented approach is inevitable for organizations. At this point, in order to achieve customer satisfaction, customer relationship management (CRM) targets to provide products and services which meet customer expectation. Data which is collected about customers is an important source to determine their needs. Therefore, analysis is made to determine...
The digital transformation enables new business models and enhanced business processes by utilizing available data for analytics, prediction, and decision support. We give an overview of the enabling developments for the digital transformation, the areas of application, and concrete use case examples. We summarize our findings in a framework for the digital transformation and discuss the potential...
Optimization of control policies for corporate customer relationship management (CRM) systems can boost customer satisfaction, reduce attrition, and increase expected lifetime value of the customer base. However, evaluation of these policies is often complicated. Policies can be evaluated with real-life marketing interactions, but such evaluation can be prohibitively expensive and time consuming....
Todays production processes are becoming more and more flexible. Customers frequently demand specific production steps that fit to their processes. This leads to a needed flexibility for systems that are used to support decision making processes and the production itself. In this paper an approach is presented that uses process definition coming from an integrated enterprise modelling for connecting...
The electric power distribution is considered as a monopoly public service, in which there cannot be direct competition, so it must be submitted to price and service quality regulation.
Patent data has been used for generating patent-based indicators for tracking the technology development of high-tech companies. In this paper, we further show the promises of exploiting patent data for the analysis and prospecting of high-tech companies in the stock market. Specifically, we aim at investigating the relationship between the patent activities of high-tech companies and the dynamics...
This minitrack has been supported by the Digital Economy (DE)* theme of Research Council UK (RCUK). The DE theme has funded the development of four networks: Sustainable Society (SSN); Communities and Culture (CaC); IT as a Utility and New Economic Models (NEMODE). SSN and NEMODE have come together in this minitrack to identify leading publications in the impact of digital at the level of the individual...
As Internet of Things (IoT) becomes a growing reality, more ubiquitous devices are embedded in our daily lives, serving us in a broad range of purposes in everyday life from: personal healthcare to home automation to tailored smart city services. These devices primarily collect data that is about or produced by people, be it street noise level of a neighbourhood, or the energy footprint of an individual's...
Agriculture is energy-intense, but also has a huge potential for generating energy directly at the point of use from renewables, e.g. biomass, photovoltaics and wind. In this paper, we investigate two models of collective arrangements among farmers in the federal state of Styria, Austria. These arrangements have the purpose to facilitate adoption of photovoltaics on farms. We contrast the two models...
Mass customization (MC), i.e. offering customers exactly what they want without losing in operational efficiency, has been positioned as a viable business strategy in ecommerce for many years. Still, many companies have failed in implementing profitable MC. We explain these failures by the lack of strategic capabilities in these firms and examine their effect on firm performance, drawing on a survey...
Open data entrepreneurship is required to create novel services and sustainable value networks based on government released datasets. However, the business is still in its infancy. This paper investigates the emerging open data value network structure based on empirical findings from 14 Finnish organizations. The data was collected through interviews of early adopter open data entrepreneurs during...
Emerging opportunities for open data based business have been recognized around the world. Open data can provide new business opportunities for actors that provide data, for actors that consume data, and for actors that develop innovative services and applications around the data. Open data based business requires business models and a collaborative environment—called an ecosystem—to support businesses...
This paper compares some modern methods and measures the credit risk of listed companies of Zhejiang province on 2010 by a mixture of the models. And the paper adjusts the calculation of model's related parameters in the empirical process. In order to ensure the accuracy of empirical results, the thesis does some relevant inspection for the empirical results. At the end, some policy suggestions are...
This paper presents the construction of the ProfileSEEKER the information system for early warning small and medium-sized enterprises from bankruptcy. The developed system is a set of five classifiers, using a variety of topologies of artificial neural networks and Bayes belief network, supported by supervised machine learning methods. System performance was evaluated using the original validation,...
Production control faces the challenge to cope with high market dynamics and high complexity in production structures. Therefore, simulation is often used to configure production control properly. Today, the generation and configuration of these simulation models need expert knowledge and cause high costs. The presented approach shows how simulation models can be generated in short times and without...
The multi-attribute assessment of an R&D portfolio is key for a company's long term survival. As sustainability is entering the stage both on the technological and financial as well as the people oriented aspects, a consistent approach is mandatory. Five models help to underpin a balanced evaluation in the light of a B2C company producing kitchen ware.
Content, evaluation, and applications of competence have been important issues in both academic and practical applications since the 1970s. On the one hand, studies on psychological assessment, human resources management and development have extensively discussed the definition and classification of competence; on the other hand, practical research on the competences of different occupations has attracted...
This paper looks to the semantic web and Web 3.0 technologies as an enabler for the creation of value and new emergent business models. It describes the concept of Web 3.0, its properties and its major differences in relation with previous Web 2.0 concept. Furthermore, the paper proposes eight business models that a company can follow to adopt a successful Web 3.0 business strategy.
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