Service mining: framework and application
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York
Business Expert Press
2014
|
| Edition: | First edition |
| Series: | Quantitative approaches to decision making collection
|
| Subjects: | |
| Online Access: | TUM01 Volltext |
| Physical Description: | 1 Online-Ressource (xi, 104 Seiten) |
| ISBN: | 9781606495759 1606495755 |
Staff View
MARC
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| 490 | 0 | |a Quantitative approaches to decision making collection | |
| 505 | 8 | |a Includes bibliographical references (pages 95-101) and index | |
| 505 | 8 | |a 1. Framework and opportunities of service mining -- 2. Mining customer value on services -- 3. Mining the price of service -- 4. Mining cooperation of services -- 5. Mining services in customer relationship -- 6. Discovering service failure and recovery -- 7. Mining service brands -- 8. Toward service idealism -- Conclusion -- Notes -- References -- Index | |
| 505 | 8 | |a The shifting focus of service from the 1980s to 2000s has proved that IT not only lowers the cost of service but creates avenues to enhance revenue through service. In particular, companies increase revenue through IT-based services. The new type of service, e-service, has several features such as being mobile, flexible, interactive, and interchangeable. Additionally, e-services have much to offer in terms of overcoming obstacles faced by a traditional services industry. The concept of service science, which was proposed by IBM, combines several issues into traditional service management, such as the disciplines of technology and engineering. While service science provides an avenue for future service researches, the specific research areas from the IT perspective still needs to be elaborated. This book introduces a novel concept, service mining, to address several research areas from the viewpoints of technology, model, management, and application. Service mining is defined as "a systematical process including service discovery, experience, recovery, and retention to discover unique patterns and exceptional values within the existing services." The goal of service mining is similar to data mining, text mining, or web mining--it aims to "detect something new" from the service pool. The major difference is the feature of service is quite distinct in its mining target such as data or text. In other words, service is a process of value co-creation and difference in the perception of various customers. In the concept of service mining, the target is not only the traditional services but also IT-based services. Service mining is a branch under the big umbrella of service science. The goals of this book are to devise various concepts of service mining and to identify different possible applications. The contribution is to furnish a roadmap of service mining to researchers, managers, and marketers in service sectors | |
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| 650 | 7 | |a Customer services / Data processing |2 fast | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Customer services |x Data processing | |
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| author | Chang, Wei-Lun |
| author_facet | Chang, Wei-Lun |
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| contents | Includes bibliographical references (pages 95-101) and index 1. Framework and opportunities of service mining -- 2. Mining customer value on services -- 3. Mining the price of service -- 4. Mining cooperation of services -- 5. Mining services in customer relationship -- 6. Discovering service failure and recovery -- 7. Mining service brands -- 8. Toward service idealism -- Conclusion -- Notes -- References -- Index The shifting focus of service from the 1980s to 2000s has proved that IT not only lowers the cost of service but creates avenues to enhance revenue through service. In particular, companies increase revenue through IT-based services. The new type of service, e-service, has several features such as being mobile, flexible, interactive, and interchangeable. Additionally, e-services have much to offer in terms of overcoming obstacles faced by a traditional services industry. The concept of service science, which was proposed by IBM, combines several issues into traditional service management, such as the disciplines of technology and engineering. While service science provides an avenue for future service researches, the specific research areas from the IT perspective still needs to be elaborated. This book introduces a novel concept, service mining, to address several research areas from the viewpoints of technology, model, management, and application. Service mining is defined as "a systematical process including service discovery, experience, recovery, and retention to discover unique patterns and exceptional values within the existing services." The goal of service mining is similar to data mining, text mining, or web mining--it aims to "detect something new" from the service pool. The major difference is the feature of service is quite distinct in its mining target such as data or text. In other words, service is a process of value co-creation and difference in the perception of various customers. In the concept of service mining, the target is not only the traditional services but also IT-based services. Service mining is a branch under the big umbrella of service science. The goals of this book are to devise various concepts of service mining and to identify different possible applications. The contribution is to furnish a roadmap of service mining to researchers, managers, and marketers in service sectors |
| ctrlnum | (ZDB-4-NLEBK)688308 (OCoLC)869630425 (DE-599)BVBBV042741233 |
| dewey-full | 658.812 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.812 |
| dewey-search | 658.812 |
| dewey-sort | 3658.812 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | First edition |
| format | Electronic eBook |
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| isbn | 9781606495759 1606495755 |
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| spelling | Chang, Wei-Lun Verfasser aut Service mining framework and application Wei-Lun Chang First edition New York Business Expert Press 2014 1 Online-Ressource (xi, 104 Seiten) txt rdacontent c rdamedia cr rdacarrier Quantitative approaches to decision making collection Includes bibliographical references (pages 95-101) and index 1. Framework and opportunities of service mining -- 2. Mining customer value on services -- 3. Mining the price of service -- 4. Mining cooperation of services -- 5. Mining services in customer relationship -- 6. Discovering service failure and recovery -- 7. Mining service brands -- 8. Toward service idealism -- Conclusion -- Notes -- References -- Index The shifting focus of service from the 1980s to 2000s has proved that IT not only lowers the cost of service but creates avenues to enhance revenue through service. In particular, companies increase revenue through IT-based services. The new type of service, e-service, has several features such as being mobile, flexible, interactive, and interchangeable. Additionally, e-services have much to offer in terms of overcoming obstacles faced by a traditional services industry. The concept of service science, which was proposed by IBM, combines several issues into traditional service management, such as the disciplines of technology and engineering. While service science provides an avenue for future service researches, the specific research areas from the IT perspective still needs to be elaborated. This book introduces a novel concept, service mining, to address several research areas from the viewpoints of technology, model, management, and application. Service mining is defined as "a systematical process including service discovery, experience, recovery, and retention to discover unique patterns and exceptional values within the existing services." The goal of service mining is similar to data mining, text mining, or web mining--it aims to "detect something new" from the service pool. The major difference is the feature of service is quite distinct in its mining target such as data or text. In other words, service is a process of value co-creation and difference in the perception of various customers. In the concept of service mining, the target is not only the traditional services but also IT-based services. Service mining is a branch under the big umbrella of service science. The goals of this book are to devise various concepts of service mining and to identify different possible applications. The contribution is to furnish a roadmap of service mining to researchers, managers, and marketers in service sectors BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Customer services / Data processing fast Datenverarbeitung Wirtschaft Customer services Data processing Erscheint auch als Druck-Ausgabe, Paperback 978-1-60649-574-2 Erscheint auch als Druck-Ausgabe, Paperback 1-60649-574-7 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=688308 Aggregator Volltext |
| spellingShingle | Chang, Wei-Lun Service mining framework and application Includes bibliographical references (pages 95-101) and index 1. Framework and opportunities of service mining -- 2. Mining customer value on services -- 3. Mining the price of service -- 4. Mining cooperation of services -- 5. Mining services in customer relationship -- 6. Discovering service failure and recovery -- 7. Mining service brands -- 8. Toward service idealism -- Conclusion -- Notes -- References -- Index The shifting focus of service from the 1980s to 2000s has proved that IT not only lowers the cost of service but creates avenues to enhance revenue through service. In particular, companies increase revenue through IT-based services. The new type of service, e-service, has several features such as being mobile, flexible, interactive, and interchangeable. Additionally, e-services have much to offer in terms of overcoming obstacles faced by a traditional services industry. The concept of service science, which was proposed by IBM, combines several issues into traditional service management, such as the disciplines of technology and engineering. While service science provides an avenue for future service researches, the specific research areas from the IT perspective still needs to be elaborated. This book introduces a novel concept, service mining, to address several research areas from the viewpoints of technology, model, management, and application. Service mining is defined as "a systematical process including service discovery, experience, recovery, and retention to discover unique patterns and exceptional values within the existing services." The goal of service mining is similar to data mining, text mining, or web mining--it aims to "detect something new" from the service pool. The major difference is the feature of service is quite distinct in its mining target such as data or text. In other words, service is a process of value co-creation and difference in the perception of various customers. In the concept of service mining, the target is not only the traditional services but also IT-based services. Service mining is a branch under the big umbrella of service science. The goals of this book are to devise various concepts of service mining and to identify different possible applications. The contribution is to furnish a roadmap of service mining to researchers, managers, and marketers in service sectors BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Customer services / Data processing fast Datenverarbeitung Wirtschaft Customer services Data processing |
| title | Service mining framework and application |
| title_auth | Service mining framework and application |
| title_exact_search | Service mining framework and application |
| title_full | Service mining framework and application Wei-Lun Chang |
| title_fullStr | Service mining framework and application Wei-Lun Chang |
| title_full_unstemmed | Service mining framework and application Wei-Lun Chang |
| title_short | Service mining |
| title_sort | service mining framework and application |
| title_sub | framework and application |
| topic | BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Customer services / Data processing fast Datenverarbeitung Wirtschaft Customer services Data processing |
| topic_facet | BUSINESS & ECONOMICS / Industrial Management BUSINESS & ECONOMICS / Management BUSINESS & ECONOMICS / Management Science BUSINESS & ECONOMICS / Organizational Behavior Customer services / Data processing Datenverarbeitung Wirtschaft Customer services Data processing |
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