Este libro es resultado de una investigación doctoral, durante el proceso de la misma se hallaron diversos resultados que no se alineaban con el sentido común o esperado de otros investigadores, particularmente en temas de bonos, expectativas laborales, presiones, creencias empresariales, cultura de trabajo y equipo. El conocimiento por si solo no es eficiente ni estable, y algunos equipos o individuos tienden a acumularlo más que promoverlo, como una competencia que apoye al crecimiento general. Un suceso relevante de la investigación, fue que se desarrollo durante la crisis financiera mundial, y la banca mexicana mantuvo a flote a nivel mundial a los bancos extranjeros con presencia en el país.

Information in all its forms is at the heart of the economic intelligence process. It is also a powerful vector of innovation and, more than ever, a balance between economic and societal forces. Strategic Intelligence for the Future 1 analyzes the need for the French economic intelligence to mutate in order to develop the economy, strengthen social cohesion and protect vital interests. This mutation requires a change of attitudes and a new way of thinking, widely open to global change and new technologies. The focus of the French economic intelligence on conventional objectives such as business and the economy does not allow for the integration of its multiple possible fields and thus its global nature. The strategy, foresight and temporal dynamics necessary to the understanding of the world, and the new balance of power and control of complex situations, have thus increased the time needed to put this in place. Both theoretical and practical, this book provides a basis from which to develop "enhanced economic intelligence" leading to the implementation of global security.

This book contains the refereed proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, held in Kaohsiung, Taiwan, in July 2021. The 28 full papers and 9 short papers accepted for KMO 2021 were selected from 86 submissions and are organized in topical sections on: knowledge management models and analysis; knowledge transfer and learning; knowledge and service innovation; knowledge and organization; information systems and information science; privacy and security; intelligent science and data mining; AI and new trends in IT.

La responsabilidad social de las empresas puede parecer un gasto innecesario hasta que se comprueba lo que cuesta ser irresponsable. En las páginas de este libro comprobaremos cómo, en la era de la información, la gestión responsable y la ética empresarial son asuntos que representan una gran apuesta estratégica. En La Sociedad que no quería ser Anónima su autora, a través de un personaje ficticio, Amaro Cifuentes, director de Responsabilidad Social de una compañía cualquiera, ayuda a desentrañar las claves de esta función empresarial a través de una mezcla sutil entre la realidad y la ficción, el día a día y el esperpento, la gestión ordenada y la ocurrencia caótica. Y es que el desafío en la responsabilidad social para cualquier compañía moderna tiene un nombre: anticipación. Sus eneficios tardan en llegar, pero son claros, como podrá asegurar cualquier directivo que haya tenido que gestionar una crisis.

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

In the digital transformation era, integrating business intelligence and data analytics has become critical for the growth and sustainability of industrial organizations. However, with this technological evolution comes the pressing need for robust cybersecurity measures to safeguard valuable business intelligence from security threats. Strengthening Industrial Cybersecurity to Protect Business Intelligence delves into the theoretical foundations and empirical studies surrounding the intersection of business intelligence and cybersecurity within various industrial domains. This book addresses the importance of cybersecurity controls in mitigating financial losses and reputational damage caused by cyber-attacks. The content spans a spectrum of topics, including advances in business intelligence, the role of artificial intelligence in various business applications, and the integration of intelligent systems across industry 5.0. Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity.

The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region. The authors of this book, members of an expert group supported by the CNRS in France, bring all of their talents together to create a comprehensive book that does just this and more.