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Since 2000, Indian special economic zones were established with the intention to attract foreign direct investment. We present a first empirical assessment with new data from 1980 to 2010 and evaluate the outcome after 10 years. In general, our empirical results confirm that special economic zones attract FDI statistical significantly. Another finding of the study is that open economies with stable inflation attract more FDI than small and closed economies.
This is the first copy of JIEBS. The papers it presents are the result of a call for papers CEBS made in 2011. We actually received far more interesting papers and research reports than expected.They all passed a double blind review and the papers naturally are the original work of the named authors. The choice we finally made was also influenced by the topic of the CEBS annual conference 2011, namely the influence of infrastructure and skilled labour on Indo-European Business. The papers analyse structure and explain many issues related to this, they raise questions and point towards areas for further research and they form the nucleus of this new and currently only scientific platform for Indo-European business studies.
India’s growth: perspectives for Indo-European business “Skilled labour in India: bridging the gap”
(2011)
The following paper is based on a survey conducted for ESB Business School and will show how German companies perceive India’s labour market. Besides existing geographical and sectoral gaps we will reveal gaps in the required qualification profile. Thinking merely of hard qualification factors like education levels, skills etc., though, would be short-sighted. Often cited intercultural qualifications also play an important role.
What can be done? What should be done to bridge these gaps? These will be the leading questions of this chapter. We will discuss some solutions – not forgetting that the problems German companies face are complex and knowing there is no ideal way. However, we will see that some of the most urgent problems can be solved or reduced by Indo-European or Indo-German co operation models in the field of vocational training and institutions of higher education.
Curriculum design for the German language class in the double-degree programme business engineering
(2017)
This paper aims to give an overview on how German is taught as a foreign language to students enrolled in the Bachelor of Business Engineering, a double-degree programme offered in Universiti Malaysia Pahang. The double degree students have the opportunity to complete their first two years of study in Malaysia and their last two years in Germany. Taking the TestDaF examination is compulsory for double-degree students. Hence, the German Language curriculum has been meticulously planned to ensure the students would be competent in the language. As such, the settings of the language class are discussed thoroughly in this paper. Additionally, it also discusses the challenges faced in teaching German as foreign language. This paper ends with some suggestions for improvement.
It has not yet been possible to achieve the desired aim of decoupling economic growth from global material demand. Small and medium sized enterprises (SMEs) represent the backbone of most industrialized economies. Although material efficiency is of vital importance for many SMEs, few of them actually treat it as their top priority. There is a cornucopia of tools and methods available which can be used for material efficiency purposes. These, however, have gained little ground in the SME-field. This work deals with the enabling factors for material efficiency improvements in manufacturing SMEs and projections towards aspects of supply chain and circular economy. A multi-disciplinary decoupling approach for manufacturing SMEs and an implementation roadmap for further practical development are proposed. The approach combines appropriate complexity of technology and socio-economic considerations. It enables a connection of existing methods and the implementation of established information technologies.
This paper summarises the experiences with sustainability reporting in a very wide meaning at Universities of Applied Sciences (UoAS). It focuses on the communication of sustainability aspects and activities of universities. It provides a recommendation, a model for communicating the sustainability activities of universities and emphasises the values of this appraoch. This paper aims to find the most effective ways to convey education for sustainable development to a broad public and initiate communication about sustainability aspects with society.
The paper is based on action research done at two universities about the ways in which academic institutions can communicate with their stakeholders in order to report about their own role as a responsible university and also to make an impact on the sustainable development on a local and global scale.
Research is focussed on experiences at Universitites of Applied Sciences with their strong focus on applied research, education and transfer. However, these results can be helpful for each academic institution that wants to make a positive impact on society. The concept which we present focusses on the possible impact which universities can generate.
Seen as the contribution to the research field of sustainabitliy reporting the paper points out that a continuous qualitative reporting process with a focus on education for SD is an adequate and efficient approach to sustainability reporting for universities and an effective way to reach a broad public.
We show that there are several efficient methodss of communication ranging from the traditional sustainability report to publications which address the public and to more innovative methods using the web 2.0. We show and argue that for universities, alternative ways of sustainability communication may be more effective to achieve the sustainability mission.
The concept which we present gives the universities a broader impact on society and helps them to support sustainable development in an efficient way.
In recent years Indonesia has been confronted with an excessive generation of municipal solid waste (MSW), predominantly present in the form of organic refuse. While moving towards integrated solid waste management (ISWM) is an important strategy used to control its generation, it is also now recognized that economic approaches need to be promoted as well in order to tackle the problem concertedly. In this case study, empirical approaches are developed to understand how market instruments could be introduced into environmental services and how to apply co-benefit approach in a green economy paradigm for Indonesia. We investigate the feasibility of introducing market instruments in Indonesia by appliying local co-benefit initiatives adapted from German experiences in integrating market instruments into MSW management practices. Currently co-benefit activities are undertaken in the Sukunan village (Yogjakarta) to promote waste composting using market incentives in the framework of community-based solid waste management (CBSWM). This scheme aims at reducing MSW generation at its source and mobilizing people to be involved in waste separation (organic and non-organic) at household levels. As a result, about 200,000 t of CO2 emissions could be successfully reduced annually. By integrating market instruments into waste management practices, the result of our studies sugggests that Indonesia could make positive changes to its environmental policy and regulation of MSW at local levels. The country's policymakers have played important roles in promoting the effectiveness of urban development with co-benefits approaches to facilitate its transition towards a green eccnomy.
The aim of this paper is to show to what extent Artificial Intelligence can be used to optimize forecasting capability in procurement as well as to compare AI with traditional statistic methods. At the same time this article presents the status quo of the research project ANIMATE. The project applies Artificial Intelligence to forecast customer orders in medium-sized companies.
Precise forecasts are essential for companies. For planning, decision making and controlling. Forecasts are applied, e.g. in the areas of supply chain, production or purchasing. Medium-sized companies have major challenges in using suitable methods to improve their forecasting ability.
Companies often use proven methods such as classical statistics as the ARIMA algorithm. However, simple statistics often fail while applied for complex non-linear predictions.
Initial results show that even a simple MLP ANN produces better results than traditional statistic methods. Furthermore, a baseline (Implicit Sales Expectation) of the company was used to compare the performance. This comparison also shows that the proposed AI method is superior.
Until the developed method becomes part of corporate practice, it must be further optimized. The model has difficulties with strong declines, for example due to holidays. The authors are certain that the model can be further improved. For example, through more advanced methods, such as a FilterNet, but also through more data, such as external data on holiday periods.
Imagine a world in which the search for tomorrow's trends of (software) products is not subject to a long and laborious data search but is possible with a single mouse click. Through the use of artificial intelligence (AI), this reality is made possible and is to be further advanced through research. The study therefore aims to provide an initial overview of the young research field. Based on research, expert interviews, company and student surveys, current application possibilities of AI in the innovation process (defined as Smart Innovation), existing challenges that slow down the further development are discussed in more detail and future application possibilities are presented. Finally, a recommendation for action is made for business, politics and science to help overcome the current obstacles together and thus drive the future of Smart Innovation.