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Business model
About: Business model is a research topic. Over the lifetime, 31509 publications have been published within this topic receiving 599504 citations.
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TL;DR: The software industry has evolved to become the fourth largest industrial sector of the US economy from its first glimmerings in the 1950s as discussed by the authors, from a handful of software contractors who produced specialized programs for the few existing machines, the industry grew to include producers of corporate software packages and then makers of mass market products and recreational software.
Abstract: From its first glimmerings in the 1950s, the software industry has evolved to become the fourth largest industrial sector of the US economy. Starting with a handful of software contractors who produced specialized programs for the few existing machines, the industry grew to include producers of corporate software packages and then makers of mass-market products and recreational software. This book tells the story of each of these types of firm, focusing on the products they developed, the business models they followed, and the markets they served. By describing the breadth of this industry, Martin Campbell-Kelly corrects the popular misconception that one firm is at the center of the software universe. He also tells the story of lucrative software products such as IBM's CICS and SAP's R/3, which, though little known to the general public, lie at the heart of today's information infrastructure. With its wealth of industry data and its thoughtful judgments, this book will become a starting point for all future investigations of this fundamental component of computer history.
211 citations
Book•
01 Jan 2006
TL;DR: This paper presents a meta-modelling architecture for e-Business that automates the very labor-intensive and therefore time-heavy and expensive process of designing and integrating e- business models and systems.
Abstract: 1. The World of e-Business. 2. e-Business Strategy. 3. Business Models. 4. e-Business Relationships. 5. Governance Structures. 6. e - Business Technological Infrastructure. 7. XML the enabling technology for e-Business. 8. Electronic Markets. 9. e-Procurement. 10 e-Business Networks. 11. Intermediaries in the Value Systems. 12. e-Business Modelling. 13. Security and Reliability for e-Business. 14. Approaches to Middleware. 15. Component-based Development. 16. Leveraging Legacy Applications. 17. Enterprise Application Integration. 18. e-Business Integration. 19. Building Loosely Coupled e-Business Applications. 20. Business Protocols. Glossary. References. Index.
210 citations
TL;DR: In this paper, a systematic literature review and synthesize the information gained into 18 managerial challenges of Industry 4.0 falling into six interrelated clusters: strategy and analysis, planning and implementation, cooperation and networks, business models, human resources and change and leadership.
Abstract: The increasing intelligence of products and systems, their intra-company cross-linking and their cross-company integration into value creation networks is referred to as Industry 4.0. Academics and practitioners, largely agreeing on the global importance of this proclaimed industrial revolution, have published many contributions on the topic. Research, however, is rather focused on investigating single technologies in quite specific application domains and largely neglects the profound managerial challenges underlying Industry 4.0. Given the recent plea for a more active contribution from the management science community, we strive to establish Industry 4.0 as a challenging but promising field for management research, and aim to assist scholars in engaging with the topic. Therefore, we first gather and analyze extant contributions by means of a systematic literature review and synthesize the information gained into 18 managerial challenges of Industry 4.0 falling into six interrelated clusters: (1) strategy and analysis, (2) planning and implementation, (3) cooperation and networks, (4) business models, (5) human resources and (6) change and leadership. Considering that Industry 4.0 is still an emerging topic and publications may therefore not always be found in highly ranked journals, we aimed to increase the confidence in our findings and triangulated our data by conducting an online survey of industry experts and academics that allows us to qualify the identified challenges in terms of importance and future research need. On this basis, we present an empirically backed research agenda and suggest fruitful avenues for future research in three basic categories: practice-enhancing research, knowledge-enhancing research, and high-impact research.
210 citations
TL;DR: The article describes the most relevant use cases, since the broad adoption of blockchain unlocks a wide area of short- and medium-term promising automotive applications that can create new business models and even disrupt the car-sharing economy as the authors know it.
Abstract: In the last century, the automotive industry has arguably transformed society, being one of the most complex, sophisticated, and technologically advanced industries, with innovations ranging from the hybrid, electric, and self-driving smart cars to the development of IoT-connected cars. Due to its complexity, it requires the involvement of many Industry 4.0 technologies, like robotics, advanced manufacturing systems, cyber-physical systems, or augmented reality. One of the latest technologies that can benefit the automotive industry is blockchain, which can enhance its data security, privacy, anonymity, traceability, accountability, integrity, robustness, transparency, trustworthiness, and authentication, as well as provide long-term sustainability and a higher operational efficiency to the whole industry. This review analyzes the great potential of applying blockchain technologies to the automotive industry emphasizing its cybersecurity features. Thus, the applicability of blockchain is evaluated after examining the state-of-the-art and devising the main stakeholders’ current challenges. Furthermore, the article describes the most relevant use cases, since the broad adoption of blockchain unlocks a wide area of short- and medium-term promising automotive applications that can create new business models and even disrupt the car-sharing economy as we know it. Finally, after strengths, weaknesses, opportunities, and threats analysis, some recommendations are enumerated with the aim of guiding researchers and companies in future cyber-resilient automotive industry developments.
210 citations