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"Paradigma akan supply chain telah bergeser. Arus produk sekarang tidak hanya memprioritaskan bagaimana produk sampai kepada pelanggan akhir, tetapi juga bagaimana produk yang sudah digunakan atau usang kembali ke perusahaan. Reverse Logistik merupakan kegiatan yang memungkinkan perusahaan untuk menghasilkan nilai tambah melalui produk yang dikembalikan dan dapat meningkatkan kinerja keuangan perusahaan. Namun, karena ketidakpastian dalam arus kembali dan kompleksitas kegiatan tersebut, sistem informasi khusus diperlukan. Sayangnya, sistem ditujukan untuk logistik reverse masih terbatas. Sistem yang tersedia merupakan hasil integrasi antara rantai suplai tradisional dan reverse logistik. Disamping masalah ini, tesis ini menemukan bahwa sistem informasi yang tersedia telah terbukti untuk membantu perusahaan dalam menghasilkan nilai dari pelanggan. Hal ini juga di dukung oleh nilai informasi. Namun, sistem informasi yang ada belum mampu mendukung nilai lingkungan.

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The paradigm towards supply chain?s sustainability is shifting. Product flow nowadays is not only concern of delivering products to the end customers, but also how used or obsolete products go back to companies. Reverse logistics is an activity that enables companies to generate additional values through returned product and it can improve companies? financial performance. However, due to uncertainty in return flows and the complexity in the activities, specialized information system is necessary. Unfortunately, the system intended for reverse logistics is still limited. The available system is the result of integration between traditional supply chain and reverse logistics. Despite this problem, this thesis finds that available information system has proven to help companies in generating values from the customer. It also results positively with information value. However, existing information system has not been able to support environmental value."

"In today’s fast growing digital world, the web, mobile, social networks and other digital platforms are producing enormous amounts of data that hold intelligence and valuable information. Correctly used it has the power to create sustainable value in different forms for businesses. The commonly used term for this data is Big Data, which includes structured, unstructured and hybrid structured data. However, Big Data is of limited value unless insightful information can be extracted from the sources of data.The solution is Big Data analytics, and how managers and executives can capture value from this vast resource of information and insights. This book develops a simple framework and a non-technical approach to help the reader understand, digest and analyze data, and produce meaningful analytics to make informed decisions. It will support value creation within businesses, from customer care to product innovation, from sales and marketing to operational performance.The authors provide multiple case studies on global industries and business units, chapter summaries and discussion questions for the reader to consider and explore. Big Data for Managers also presents small cases and challenges for the reader to work on – making this a thorough and practical guide for students and managers."

"In this work a market driven evaluation based on sales potential of information is developed. Simple technical means for aggregation of micro values to a billable amount are discussed. The requirements for electronic billing infrastructure are defined and a matching e-billing solutions for an evaluation scenario is presented, providing a technical infrastructure to evaluate and bill product-related information in a future internet of things, based on an extended EPCglobal Architecture. Further opportunities and threats are discussed to provide an overview of its future potential. As a result it will contribute to the sustainable success of the Internet of things itself. "