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"[Firms without research and development (R&D) have frequently been neglected by mainstream innovation research. The small number of existing studies provides only fragmented and sometimes even contradictory findings, because they assume that non-R&D-performing firms show a “typical”, homogeneous innovation pattern. Oliver Som challenges this assumption. Based on current firm-level data of the German industry, he provides pioneer quantitative evidence of five heterogeneous innovation patterns of non-R&D-performers. The findings impressively underline the need for future innovation research, management and policy to extend their view on innovation beyond the scope of R&D., Firms without research and development (R&D) have frequently been neglected by mainstream innovation research. The small number of existing studies provides only fragmented and sometimes even contradictory findings, because they assume that non-R&D-performing firms show a “typical”, homogeneous innovation pattern. Oliver Som challenges this assumption. Based on current firm-level data of the German industry, he provides pioneer quantitative evidence of five heterogeneous innovation patterns of non-R&D-performers. The findings impressively underline the need for future innovation research, management and policy to extend their view on innovation beyond the scope of R&D.]"

"Tesis ini mengkaji dampak aktivitas ekspor terhadap kinerja inovasi di Jerman. mengingat Jerman adalah salah satu pengekspor terbesar di dunia, studi tentang pengaruh ekspor terhadap inovasi di Jerman masih kurang diteliti; oleh karena itu, makalah ini mencoba untuk menjawabnya. Variabel dependen yang digunakan dalam penelitian ini adalah kinerja inovasi, dan variabel independennya adalah aktivitas ekspor, yang selanjutnya dianalisis dengan variabel mediasi pengeluaran R&D. Penelitian ini menggunakan 798 sampel dari dataset MIP 2009, kontribusi CIS dari Jerman. Hasil penelitian menunjukkan bahwa aktivitas ekspor secara signifikan mempengaruhi inovasi produk secara positif, yang menunjukkan bahwa setiap peningkatan 1 unit dalam aktivitas ekspor akan menghasilkan peningkatan inovasi produk sebesar 9,6%. Namun, ketika inovasi proses diuji, hasilnya menunjukkan bahwa tidak ada signifikansi antara ekspor dan inovasi proses. Selain itu, pengeluaran R&D sepenuhnya memediasi pengaruh ekspor terhadap inovasi.

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The thesis examines the impact of export activities on innovation performance in Germany. Considering Germany is one of the biggest exporters in the world, a study about the effect of export on innovation in Germany is understudied; hence, this paper tried to answer. The dependent variable used in this research is innovation performance, and the independent variable is export activities, further analyzed with a mediating variable of R&D expenditures. This research uses 798 samples from the 2009 MIP dataset, a CIS contribution of Germany. The result showed that export activities significantly positively affect product innovation, signifying that every 1 unit increase in export activities will result in a 9.6% increase in product innovation. However, when process innovation is tested, the result shows no significance between export and process innovation. Furthermore, the R&D expenditures fully mediate the effect on exports toward innovation."

"[Why did jazz become a dominant popular music genre in the 1920s and rock 'n' roll in the 1950s? Why did heavy metal, punk rock and hiphop find their way from sub-cultures to the established music industry? What are the effects of new communication technologies and the Internet on the creation of music in the early 21st century? These and other questions are answered by Peter Tschmuck through an integrated model of creativity and innovation that is based on an international history of music industry since Thomas A. Edison invented the phonograph in 1877. Thus, the history of the music industry is described in full detail. By discussing the historic process of music production, distribution and reception the author highlights several revolutions in the music industry that were caused by the inference of aesthetic, technological, legal, economic, social and political processes of change. On the basis of an integrated model of creativity and innovation, an explanation is given on how the processes and structures of the present music industry will be altered by the ongoing digital revolution, which totally changed the value-added network of the production, dissemination and use of music. For the second edition, the author has reworked chapter 9 in order to include all the developments which shaped the music industry in the first decade of the 21st century – from Napster to cloud-based music services and even beyond., Why did jazz become a dominant popular music genre in the 1920s and rock 'n' roll in the 1950s? Why did heavy metal, punk rock and hiphop find their way from sub-cultures to the established music industry? What are the effects of new communication technologies and the Internet on the creation of music in the early 21st century? These and other questions are answered by Peter Tschmuck through an integrated model of creativity and innovation that is based on an international history of music industry since Thomas A. Edison invented the phonograph in 1877. Thus, the history of the music industry is described in full detail. By discussing the historic process of music production, distribution and reception the author highlights several revolutions in the music industry that were caused by the inference of aesthetic, technological, legal, economic, social and political processes of change. On the basis of an integrated model of creativity and innovation, an explanation is given on how the processes and structures of the present music industry will be altered by the ongoing digital revolution, which totally changed the value-added network of the production, dissemination and use of music. For the second edition, the author has reworked chapter 9 in order to include all the developments which shaped the music industry in the first decade of the 21st century – from Napster to cloud-based music services and even beyond.]"

"Lingkungan bisnis dan industri yang dinamis dan berubah sangat cepat menyebabkan Continuous Innovation Capability (CIC), yang adalah ability to continuously innovate sangat dibutuhkan oleh industri manufaktur agar dapat bertahan dan memiliki daya saing tinggi. Cara atau metode untuk mengukur dan memonitor CIC menjadi sangat penting dan strategis bagi suatu perusahaan agar dapat memastikan bahwa aktivitas inovasi dikerjakan secara berkelanjutan. Penelitian ini bermaksud untuk mengembangkan suatu model pengukuran Continuous innovation capabilities (CIC) yang lebih komprehensif dan holistik pada industri manufaktur di Indonesia.Proses penelitian ini terdiri dari 3 tahap, yakni: (1) identifikasi dan seleksi Continuous Innovation Capability Enablers (CICEs), (2) perancangan model pengukuran CIC, dan (3) validasi model pengukuran. Identifikasi initial CICEs menggunakan pendekatan studi literatur dan focus group discussion. Sedangkan proses seleksi CICEs menggunakan Fuzzy Delphi Method (FDM). Pada tahapan perancangan model, metode Total Interpretive Structural Modelling (TISM) digunakan untuk menggambarkan contextual relationship antar CICEs, metode matrix of cross impact multiplications applied to classification (MICMAC) untuk mengklasifikasi driving and dependence power dari CICEs dan metode Analytical Network Process (ANP) untuk menetukan bobot masing-masing CICEs dan dimensi pengukuran. Penentuan kriteria dan indikator untuk masing-masing CICEs dikembangkan berbasis pada 3 elemen pengukuran inovasi, yakni: potensi, proses dan hasil inovasi, sedangkan pengembangan model matematis perhitungan skor CIC dikembangkan berbasis pada metode multi-faktor. Evaluasi dan validasi model pengukuran dilakukan dengan metode multiple case study. Penelitian ini berhasil mengidentifikasi dan menentukan 16 CICEs, 50 kriteria, 103 indikator pengukuran dan mengembangkan model matematis perhitungan skor CIC yang sesuai dengan karakteristik industri manufaktur di Indonesia. Model pengukuran CIC telah di ujicoba pada 2 industri manufaktur skala besar, yakni industri otomotif dan elektronik. Hasil uji coba menunjukkan bahwa model pengukuran CIC dapat digunakan dengan baik dan valid. Hasil penelitian juga menunjukkan bahwa faktor kepemimpinan, iklim dan budaya, dan kapabilitas teknologi informasi merupakan faktor CICEs yang memiliki driving power tertinggi dan dependence power terendah. Hal ini mengindikasikan bahwa upaya pengembangan kapabilitas inovasi secara terus menerus di industri manufaktur Indonesia sangat dipengaruhi oleh faktor kepemimpinan, faktor iklim dan budaya dan kapabilitas teknologi informasi. Model CIC adalah sebuah model baru pengukuran kapabilias inovasi yang holistic karena sepenuhnya menerapkan tiga elemen prinsip dasar pengukuran kapabilitas inovasi, mengukur kapabilitas inovasi seluruh dimensi penting yang ada dalam suatu perusahaan, dan dapat menjelaskan pola hubungan antar CICEs.

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To face the rapidly changing industrial environment, the manufacturing industry requires Continuous Innovation Capability (CIC). CIC which is the ability to continuously innovate, is needed by the manufacturing industry today so that the industry can have high competitiveness and continue to survive, by continuously producing new products, new processes, new service systems, and new business models that are always relevant to the market needs. Innovation is a process that requires continuous, envolving and mastered management. Therefore companies must to measure their continuous innovation capability. This research aims to design a more holistic measurement model for CIC of the manufacturing industry in Indonesia.

The development of this CIC model was conducted through three stages of research, i.e. identification of Continuous Innovation Capability Enablers (CICEs), development of measurement model, followed by model evaluation and validation. The Identification of CICEs used a systematic literature review and a focus group discussion. The selection process for CICEs employed the Fuzzy Delphi Method. To develop a measurement model, contextual relationships between CICEs were assessed using Total interpretive Structural Modelling, followed by measurements of CICEs weights with the Analytical Network Process method. Then, assessment indicators for each CICEs and criteria were determined as well as a mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in the automotive and electronic industries.

This research produced 16 CICEs, 50 criteria and 103 assessment indicators; as well as a mathematical model to measure CIC scores. The validation process showed that the currently developed model was deemed valid. This research highlighted that in order to develop continuous innovation in the Indonesian manufacturing industry, they should begin with strengthening the capabilities of leadership, establishing a strong and conducive climate and culture for innovation, and investing significantly in developing IT capability. The CIC model is a new holistic measurement model; it integrates three fundamental elements of CI capability measurement, considering all the important dimensions in a company, and is also able to explain contextual relationships between measured factors

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"Dengan revolusi industri yang sekarang sedang berlangsung dunia sedang mengalami fenomena baru yang disebut "The New Normal". Dimana situasi ini dijelaskan oleh variabilitas, ketidakpastian, kompleksitas, dan ambiguitas (VUCA). Untuk mengatasinya, industri manufaktur di Indonesia perlu adanya inovasi proses. Dalam penelitian ini dilakukan inovasi proses diilustrasikan dengan investasi mesin (otomasi) yang didasarkan pada teori memiliki dampak ambigu pada permintaan tenaga kerja. Dampaknya adalah bisa dirasakan meningkatkan jumlah permintaan tenaga kerja juga kurangi itu. Menggunakan data panel statistik industri dari tahun Dari 2004 hingga 2015, kami ingin melihat apa dampak nyata dari investasi mesin produktivitas tenaga kerja dan juga permintaan tenaga kerja di industri Manufaktur Indonesia. Hasil penelitian ini membuktikan bahwa berinvestasi pada mesin memiliki dampak positif pada produktivitas. Perusahaan itu berinvestasi pada mesin memiliki jumlah pekerja yang lebih banyak dibandingkan dengan mereka yang tidak berinvestasi. Penelitian ini juga ditemukan inovasi yang dilakukan oleh perusahaan padat modal dan padat karya tidak memiliki dampak yang berbeda. Terakhir, penelitian ini juga menemukan bahwa waktu investasi juga memiliki pengaruh yang signifikan melawan permintaan tenaga kerja.

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With the industrial revolution that is now taking place the world is experiencing a new phenomenon called "The New Normal". Where this situation is explained by variability, uncertainty, complexity, and ambiguity (VUCA). To overcome this, the manufacturing industry in Indonesia there is a need for process innovation. In this research, process innovation is illustrated by machine investment (automation) which is based on theory having an ambiguous impact on labor demand. The impact is that it can be felt that increasing the demand for labor and reducing it. Using industrial statistics panel data from 2004 to 2015, we want to see what the real impact of investment in labor productivity machinery is on labor demand in the Indonesian manufacturing industry. The results of this study prove that investing in machines has a positive impact on productivity. Companies that invest in machinery have a greater number of workers than those who do not. This study also found that innovations carried out by capital-intensive and labor-intensive companies did not have a different impact. Finally, this study also finds that the investment time also has a significant effect on labor demand."

"This book presents to all those who are interested in the history of Anaesthesiology historical details and information on the development of anaesthesiology in Germany and the remarkable growth of our Society. At the founding session of the German Society of Anaesthesia in Munich on 10 April 1953 42 persons had signed the founding documents. Today about 12,000 anaesthetists are members of the German Society of Anaesthesiology and Intensive Care Medicine, making the DGAI the biggest national society within ESA."