The origin and evolution of new businesses [[electronic resource] /] / Amar V. Bhidé

• Record Nr.: UNINA9910450276103321
• Autore: Bhide Amar <1955->
• Pubbl/distr/stampa: Oxford ; ; New York, : Oxford University Press, 2000
• ISBN: 9786610472727; 1-280-47272-3; 1-282-36733-1; 9786612367335; 0-19-803010-X; 1-60256-717-4
• Descrizione fisica: xx, 412 p. : ill
• Disciplina: 658.1/1
• Soggetti: New business enterprises; Entrepreneurship; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references (p. 387-396) and index.
• Sommario/riassunto: Few would deny the crucial role that entrepreneurs play in our increasingly global economy-but exactly what is this vital, yet loosely defined business force we call the entrepreneurial spirit? This landmark study is the first to examine analytically the nature of the opportunities that entrepreneurs pursue, the problems they face, the traits they require, and the social and economic contributions they make. Until recently, entrepreneurs have been largely ignored in modern economic theory. But at the dawn of a networked age, marked by the advent of e-business and the home office, there's no question that entrepreneurs have recaptured the popular imagination. Studies now show that most men and women dream of starting their own businesses rather than rising through the corporate ranks. Yet in spite of increased attention by many of today's leading business schools, entrepreneurship has remained largely a mystery, an apparantly intuitive sense of values ; possessed by certain individuals.; This book targets the issues central to successful start-up ventures, such as endowments and opportunities, planning versus adaptation, securing resources, corporate initiatives, venture capital, revolutionary ventures and the evolution of fledgling businesses. Focusing on hard data and evaluations of numerous start-up businesses, including many of today's major industry leaders, this book presents a new economic model-a key to understanding the guts, determination, luck and skills that constitute the underpinnings of corporate success. Written in clear, concise prose, The Origin and Evolution of New Businesses goes behind the charts and graphs of business theory to the true heart of success. It is essential reading for business students, would-be entrepreneurs, or executives wanting to incorporate the vitality of the entrepreneurial spirit into their organization.

Web Information Systems and Applications : 15th International Conference, WISA 2018, Taiyuan, China, September 14–15, 2018, Proceedings / / edited by Xiaofeng Meng, Ruixuan Li, Kanliang Wang, Baoning Niu, Xin Wang, Gansen Zhao

• Record Nr.: UNINA9910349392003321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• ISBN: 9783030029340; 3030029344
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (XVI, 498 p. 242 illus., 134 illus. in color.)
• Collana: Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 11242
• Disciplina: 006.3; 004.6
• Soggetti: Data mining; Data Mining and Knowledge Discovery
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Machine learning and data mining -- Cloud computing and big data -- ; Information retrieval -- Natural language processing -- Data privacy and security -- Knowledge graphs and social networks -- Query processing -- Recommendations.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 15th International Conference on Web Information Systems and Applications, WISA 2018, held in Taiyuan, China, in September 2018. The 29 full papers presented together with 16 short papers were carefully reviewed and selected from 103 submissions. The papers cover topics such as machine learning and data mining; cloud computing and big data; information retrieval; natural language processing; data privacy and security; knowledge graphs and social networks; query processing; and recommendations.