This paper summarizes current corporate policy activities through Corporate Social Responsibility (CSR). In this context, the use of Big Data & Analytics (BD&A) will be discussed. The main purpose of the research is the pursuit of CSR, as the topic has been enormously advanced for companies in recent years. And there are many reasons for this. The consumption of the environment, the deposition of residues into air, ground and water by companies and also the labor conditions within the work environment is on outmost interest of the society. Companies try to avoid respectively reduce the negative impact that comes along with their value creation processes due to their competitive situation, public pressure, marketing reasons or because they are forced by legal requirements and regulations. Those improvements are often publicized in CSR/sustainability reports. Many companies set themselves CSR targets that refer to a particular baseline. With doing so the companies can find the right areas for improvement, measure their progress, apply different methodologies and create measures to further enhance their situation. Some of those measures are driven by digitalization and with the progress that is made within this area of research new opportunities to reduce the negative impact arise. The potential that lies within digitalization to improve CSR indicators is widely underestimated. To emphasize the impact that digitalization can have on the value creation process, a very specific methodology from the field of digitalization, the analysis of big data, was chosen exemplarily for this analysis. The systematization of research and approaches to solving the problem will show that Big Data & Analytics is underemployed in the area of Corporate Social Responsibility. The research results summarized in the paper confirm and prove that companies need not be primarily interested in CSR. Economic interests usually go hand in hand with this. To make Big Data & Analytics a contributor to Corporate Social Responsibility investments are necessary. The potential of Big Data & Analytics that is elaborated in this article can help to justify the investments into this field of application. The paper is processed in the following logical order: After an introductory section, Big Data & Analytics will present its contribution to Corporate Social Responsibility. After establishing a hypothesis, the analysis part comes in the form of a field application. In the further course, the influence of CSR on the Internet of Things (IoT) will be dealt with in a business case. The article will give an insight into the sustainability reports of the companies BMW, Deutsche Telekom and the Linde Group. The topics CSR and BD&A in the automotive industry will be investigated, as well. The expected savings in energy consumption by BD&DA are discussed here. The paper is concluded with a critical appraisal. Keywords: big data & analytics, corporate social responsibility (csr), data analytics, energy consumption, investment decision, sustainability.

The performance of the banking sector depends on the ability of a range of banking products to meet customer needs in a timely and complete manner. Due to the specific features of the banking sector, technological capabilities to accumulate a massive pool of customer information about banking services, the German banking sector has more capacity than other industries to launch and sell banking services that will be in high demand among users. The author points out that innovative methods and solutions were developed on the basis of mathematical and statistical models. It is stated that a progressive tool for providing customer-oriented services and products, in the banking sector, is currently defined as “Big Data & Analytics”. The main purpose of the study is to identify the peculiarities of the use in the banking practice of the analytical tool “Big Data & Analytics” and the functional ability of this tool to ensure stable customer loyalty in the course of using banking services. The study empirically confirmed (based on a survey conducted in the fall of 2019) and theoretically proved that there is a strong relationship between the use of the Big Data & Analytics tool and the provision of key principles of customer loyalty in the following areas of the banking sector: advice to clients by banking employees systems must be objective and comprehensive, be individualized and be provided in a timely and comprehensive manner. Emphasis is placed on the need for further research on the effectiveness of internal and external business coaching, which is particularly relevant in the context of a total digital transformation of all spheres of society and entrepreneurship. Keywords: big data and analytics, corporate social responsibility, customer loyalty tool, business ethics.

Motivation in project management is the central factor for the formation of a competent project team, the successful execution of a project. For this, methods of efficient marketing, of internal marketing, are needed. This paper describes the basic problems and possible solutions for the identification of the employees of the matrix organization in a project team. Supported by empirical studies (expert surveys) and extensive literature studies, it is examined which values of the project motivate the employees to become enthusiastic about the project. The paper also examines ways in which a project can be set up in such a way that employees can identify 100 per cent with the project objectives from the outset. In addition, the interaction of social values in the project and the project will be investigated beyond the company. The goal must be that the employees in a project must be inspired for this project to grow together, to form a project team. To the company's knowledge, social responsibility and the definition of identity brand models can contribute ultimately. A project must establish itself as a brand in the company. The project manager to do this must assume the role of ambassador of the brand values of the project within the company and outside to the customer in all consistency. He has to become a marketing manager of his project. In a further step, theoretical models for the description of the brand, describing values and high on the implementation in project management are examined. The role of the project manager as a central figure for organizational change remains at the centre of the research. We are looking for tools and methods with which a project manager can inspire his team members for the project in such a way that their motivation leads them to top performance. Similar to the buying behaviour of brand customers, who are prepared to pay considerably more for brand products than for technically comparable products without strong brand loyalty, it is argued that employees of a respected and fascinating project are prepared to do more than for a boring project without a brand. The aim is to establish the project members as part of a group in which they are highly motivated to pursue their tasks, outgrow their possibilities and abilities and give everything for the success of the project. The identification of people to a closed group (to a project or a trademark) can have a very positive effect on the individual employee but also on the whole group. However, with a high group motivation within a company, within a matrix organization, it must not lead to limited resources being used in the company for only one project. Other projects running simultaneously must not be disadvantaged by this. The aim of research on motivation in project teams is to explore the basis for an individual and measurable measure of the personal performance of a project manager. Finally, the article gives recommendations for further research on measurement methods of project success, the measurement of the brand strength...

Disruptive innovation such as online transportation business is a leap of innovations of in services that triggered chaos in field of competition law. The emergence of new cumbent with its disruptive innovation has disturbed the market that dominated by the incumbent. This chaos cannot be overcome by the same legal approach because it has a different business model, in fact, it also happened in Indonesia. This study aims to: (a) reviewing whether disruptive innovation infringes the principles and provisions of competition law and; (b) identifying and evaluating various regulations regarding online transportation in Indonesia. The method of this research is normative legal research, which examines various legal principles, legal theories, and legislation. Findings of this study are; First, disruptive innovation is not an unlawful act because it does not infringe any provisions in the competition law. And also, this innovation is not contravene with the public order; its using new business platforms that are different from old business models. Second, Indonesian government has regulated this disruptive innovation by issuing regulation which has been sued for judicial review and amendment. Finally, Indonesian government has formulated an accommodative regulation format, i.e., online transportation is equalized to the specialized rental transportation.

The paper deals with the impact of the interest rate policy of the European Central Bank on the cost of houses in Germany. The European Central Bank's interest rate policy has a significant influence on the cost of capital for consumers in connection with the banking system in Germany. Consumers obtain their foreign capital directly at the European Central Bank, consumers go for loans to their local bank. The banks borrow money from the European Central Bank or Park surpluses with her. The cost of lending by the European Central Bank on the banks is described in the base rate of the European Central Bank. The development of the federal funds' interest rate has thus the significant indirect influence on consumer credit interest rates and on the cost of capital for consumers with larger investments. This article describes the effect of the low capital cost (interest) of the European Central Bank on the impact of the price of the residential property. The report analyses the cost of capital, income, and the development of real estate prices. She will prove that of in Germany despite low-interest rates by the European Central Bank with regard to rising incomes, are not significant in the real estate price increases market. Despite low-interest rates of the European Central Bank, one can speak of a real estate bubble in Germany. Real estate has so far not led to capital flight in the form of investments. The investigations relate to statistical evaluations of the year 2008 (2010) until the end of 2017 and take account of to take into account the average price development in whole Germany. In some urban centres such as Frankfurt am Main, Berlin, Hamburg or Munich prices differ from the statistics here political missteps but are the reason for the price increases and are not included in the analysis. The investigation is very important for the planning of real and well-formulated marketing activities for all staff and decision makers in the marketing. Only if the marketing can assess the mechanisms of monetary policy, the effect of increasing or decreasing the cost of capital and the development of real estate prices, the right incentives in marketing can be used. The analysis also provides an insight into the statistical calculation of key figures. Finally, the analysis provides an Outlook for the demand for future research on the effects of borrowing costs on human behaviour. As a result, the study is also interesting for other players in the real estate market and the State institutions.