Applying Business Intelligence And Innovation To Entrepreneurship

Smart watches, autonomous vehicles, and talking robots are now an everyday part of life for many regions of the world. The digital revolution has now permeated nearly every facet of our existence. This surge in technological advancement has ushered in what economists term an "innovation economy." In this era, the synergy between technology and business intelligence propels groundbreaking innovations, fostering entrepreneurial ventures across various sectors. These ventures encompass an array of industries, including agriculture, fast-moving consumer goods, hospitality, cultural and indigenous products, to name just a few. While these entrepreneurial endeavors bring forth creativity and contribute to circular economies within communities, not all manage to navigate the challenging environment successfully. This raises a pressing concern – how can entrepreneurs harness the power of business intelligence and innovation to achieve sustainability and a competitive edge in today's complex business landscape? Applying Business Intelligence and Innovation to Entrepreneurship brings a definitive solution to academicians, researchers, and students who seek a comprehensive understanding of the dynamic interplay between entrepreneurship, business intelligence, and innovation. By dissecting various types of organizations, from small and medium-sized enterprises (SMEs) to technology-based startups like Fintech, digital marketing, and community-driven initiatives, this book paints a vivid picture of the entrepreneurial ecosystem. It delves deep into the symbiotic relationship between local wisdom and innovation, shedding light on how entrepreneurs can seize opportunities presented by disruptive and unpredictable phenomena.

Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.

Entrepreneurship, innovation, and education intersections have become crucial in driving organizational and individual success in today’s quickly changing economic world. Globalization, technological innovation, and evolving consumer habits constantly transform sectors, requiring quick and innovative answers. The key to this transition is encouraging entrepreneurial attitudes, developing new methods, and using educational frameworks to improve performance in all areas. Entrepreneurship Innovation and Education for Performance Improvement thoroughly examines the ways in which these interrelated areas might collaboratively boost the performance of both organizations and individuals in the current dynamic business landscape. It investigates the interconnections among entrepreneurship, innovation, and education, clarifying how these components contribute to improving performance in both new and existing business ventures. By analyzing present patterns, upcoming approaches, and the revolutionary capability of combining these areas, this book sheds light on promoting a culture of ongoing improvement and success in the modern corporate environment. Covering topics such as entrepreneurial leadership, performance improvement, and sustainability, this book is an essential resource for postgraduate students, researchers, lecturers, industry practitioners, entrepreneurs, business leaders, and more.

The combination of entrepreneurship, innovation, and technology has become the source of disruptive business models that transform industries and markets. The integrative understanding of these three drivers of today’s economy is fundamental to business. Entrepreneurship, Innovation, and Technology aims to connect core models and tools that are already created by well-known authors and scholars in order to deliver a unique guide for building successful business models through the adoption of new technologies and the use of effective innovation methods. The book goes through the entrepreneurial lifecycle, describing and applying core innovation models and tools such as the business model canvas, lean startup, design thinking, customer development, and open innovation, while taking into consideration disruptive technologies such as mobile internet, cloud computing, internet of things, and blockchain. Finally, the book describes and analyzes how successful cases have been applying those models and technologies. With the mix of an academic and practitioner team, this book aims to go against the grain by its positioning of entrepreneurship in the modern technology economy. This book will prove to be a vital text for any student, specialist, or practitioner looking to succeed in the field.

Under the conditions of the Fifth Industrial Revolution, there appears e-business 5.0, a new model of entrepreneurship in which humans and artificial intelligence (AI) are not opposed but systematically combined and effectively used. Because the core of e-business 5.0 is intelligent systems, the most important role in its development belongs to the management of technologies and innovations. Smart technologies may supplement or replace human resources in business processes, which involves various options of their combination and distribution of labor. This complicates things and requires a new approach to management in e-business 5.0. Smart Technologies and Innovations in E-Business is devoted to comprehensive research of e-business 5.0. This book discusses the systematization of international experience, determination of prospects, and development of recommendations for the improvement of the management of smart technologies and innovations in e-business 5.0. Covering topics such as big data, entrepreneurial development and dynamics, and mobile payment systems, this book is an essential resource for entrepreneurs, business executives and managers, e-commerce professionals, digital marketing experts, technology developers and engineers, academicians and researchers, policy makers and regulators, postgraduate educators and students, and more.

Experts are constantly trying to understand the complex relationships between humans and evolving technologies. Cognitive ergonomics, the science behind human-machine interactions, ensures optimal performance and decision-making. Understanding and managing these interactions, especially in medicine and computer tasks, requires an interdisciplinary approach. Bioethics of Cognitive Ergonomics and Digital Transition addresses these challenges head-on, offering a comprehensive exploration of cognitive ergonomics and its implications for technology, society, and more. One of the critical issues addressed in this book is the ethical design and implementation of human-machine interactions, particularly in biomedical research and treatment contexts. As technologies like artificial intelligence (AI) and biotechnology continue to advance, the need for ethical frameworks becomes increasingly critical. This book examines the bioethical perspectives of these interactions, providing readers with insights into how to navigate these complex issues responsibly.

In context of entrepreneurship, this book was motivated by a desire of a team of well-known authors. The book consists of 23 closely related thematic contributions, which fall into 4 separate sections: Interactions between Economy and Entrepreneurship; Innovation in Entrepreneurship and Economic Growth; Current Trends in Family Business, Social Entrepreneurship and Responsibility; and The Role of Human Resource Management, Education and Gender in Entrepreneurship. Authors-contributors have submitted the results of their recent research and presented essential findings about the decision-making process of entrepreneurs in order to maintain their businesses competitive. The reader can get an insight into the selection of the best scientific contributions that have been reviewed and ready for debate. Our piece of work, Entrepreneurship: Development Tendencies and Empirical Approach, has interdisciplinary features. This work by authors from different countries - Finland, Germany, Czech Republic, Slovakia, Italy, Spain, Turkey and Malaysia - is dedicated to readers providing up-to-date research data and background for further research as well as implementation techniques in business practice.

Technology and entrepreneurship converge in the digital era, presenting many possibilities and hurdles. One of the most pressing issues facing entrepreneurs is the ability to harness the power of artificial intelligence (AI) to drive innovation and create sustainable businesses. While AI holds immense potential for transforming entrepreneurial ideas across various fields, many individuals and organizations need help understanding its practical applications and implications. Generating Entrepreneurial Ideas With AI offers a comprehensive solution to this challenge. By examining the intersection of AI and entrepreneurship from a multidisciplinary perspective, we provide readers with invaluable insights and strategies for leveraging AI to enhance their entrepreneurial endeavors. This book is designed for students, entrepreneurs, policymakers, and academics. It is a practical guide and roadmap for integrating AI into entrepreneurial practices. Through a series of in-depth analyses and case studies, we demonstrate how AI can effectively identify new business opportunities, optimize operations, and enhance the overall competitiveness of ventures.

Resiliency strategies in business and healthcare are essential for navigating uncertainties and adapting to rapidly changing environments. Both sectors benefit from building strong partnerships, investing in workforce training, and leveraging data analytics to anticipate and respond to challenges. By proactively addressing potential vulnerabilities and cultivating adaptive capabilities, businesses and healthcare organizations can not only recover from setbacks more effectively but also sustain their operations and services in the face of future uncertainties. Resiliency Strategies for Long-Term Business Success discusses the essential strategies and practices required to build and maintain resilience in these critical sectors. This book explores strategies for building organizational resilience, such as implementing comprehensive risk management frameworks, investing in technology and infrastructure, and fostering a culture of continuous improvement and agility. Covering topics such as business excellence, nursing leadership, and quality management, this book is an essential resource for business leaders and executives, healthcare administrators and managers, risk management and continuity experts, policymakers, public health officials, consultants and advisors, academicians, researchers, and more.

This open access book explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management. “Digitalization mirrors the Industrial Revolution’s impact. This book provides a complement of perspectives on the opportunities emanating from such a deep seated change in our economy. It is a comprehensive collection of thought leadership mapped into a very useful framework. Scholars, digital entrepreneurs and practitioners will benefit from this timely work.” Gina O’Connor, Professor of Innovation Management at Babson College, USA “This book defines and delineates the requirements for companies to enable their businesses to succeed in a post-COVID19 world. This book deftly examines how to accomplish and achieve digital entrepreneurship by leveraging cloud computing, AI, IoT and other critical technologies. This is truly a unique “must-read” book because it goes beyond theory and provides practical examples.” Charlie Isaacs, CTO of Customer Connection at Salesforce.com, USA "This book provides digital entrepreneurs useful guidance identifying, validating and building their venture. The international authors developed new perspectives on digital entrepreneurship that can support to create impact ventures.” Felix Staeritz, CEO FoundersLane, Member of the World Economic Forum Digital Leaders Board and bestselling author of FightBack, Germany