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Data Analytics in Marketing, Entrepreneurship, and Innovation
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 analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe 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.
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Management Consultants' Acceptance of Internet Technology : An Empirical Study of the Determinants of Web Analytics Technology Acceptance
The Internet continues to offer businesses new tools to enhance infrastructure-and new Web analytics technology (WAT) is helping organizations aggregate and integrate online user behavior data for management operations and strategic planning.This research study developed a model based on unified theory of acceptance use of technology (UTAUT) premises to provide empirical evidence to support management consultants' acceptance of WAT.The study sought input from almost three hundred management consultants, and the results show a positive correlation among the determinants, including effort expectations, performance expectations, social influence, facilitating conditions, and behavioral intentions.In fact, performance expectancy, effort expectancy, social influence, and facilitating conditions can predict sixty-two percent of the behavior intention of management consultants to accept WAT...
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Data Analytics for Business : Lessons for Sales, Marketing, and Strategy
Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down.This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail.He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics.The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.
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Business Models : Innovation, Digital Transformation, and Analytics
Since the beginning of time, running a business has involved using logic by which the business operates.This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models.Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation.Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models.Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analyticsThis book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition.It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
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Should one study marketing and digital media or business administration?
The choice between studying marketing and digital media or business administration depends on one's career goals and interests. If someone is interested in the creative aspects of marketing, such as branding, advertising, and social media, then studying marketing and digital media would be a better fit. On the other hand, if someone is more interested in the overall management and operations of a business, then studying business administration would be more suitable. It is important to consider one's strengths, career aspirations, and the specific skills and knowledge they want to acquire before making a decision.
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How can one study Business Development?
One can study Business Development through various means such as formal education, online courses, workshops, seminars, and on-the-job training. Pursuing a degree in business administration, marketing, or entrepreneurship can provide a solid foundation in business development principles. Additionally, gaining practical experience through internships or entry-level positions in sales, marketing, or business development can also help one develop the necessary skills and knowledge in this field. Continuous learning and staying updated on industry trends and best practices are also essential for a successful career in Business Development.
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Do you have to study for web development and web design?
Yes, studying is essential for both web development and web design. These fields require a strong understanding of programming languages, design principles, and best practices. Whether through formal education, online courses, or self-study, gaining knowledge and skills in areas such as HTML, CSS, JavaScript, and user experience design is crucial for success in web development and web design. Continuous learning and staying updated with the latest technologies and trends is also important in these rapidly evolving fields.
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Where can one study Biomedical Analytics?
One can study Biomedical Analytics at various universities and colleges that offer programs in health informatics, bioinformatics, or biomedical data science. Some well-known institutions that offer programs in Biomedical Analytics include Stanford University, Harvard University, Johns Hopkins University, and the University of California, Los Angeles. Additionally, there are online programs and professional certifications available for those looking to specialize in Biomedical Analytics.
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Digital Innovation and Entrepreneurship
The digital economy encompasses more than half the world, and in today's business market, those with a technology background have an advantage.This textbook provides students who already have digital expertise with a solid foundation in business and entrepreneurship in order to launch and run a business.Using a logical, objective-based structure, the book guides students to a comprehensive and practical understanding of innovation and entrepreneurship.Chapters progress through the steps in creating a successful digital business: framing the business, promotion and sales, delivery and operations, value capture, growth and scalability, intellectual property and protection, and leadership and structure.Features include: learning objectives, introductions, conclusions, tables and figures, highlighted key terms, and analysis and design exercises in each chapter; a wide range of real-world examples; a rolling case study of a hypothetical digital business that models the concepts covered in each chapter; appendices of business terms, including those relating to product licensing, customer service agreements and customer delivery contracts; and key terms explained throughout.Supplementary online resources include a test bank, lecture slides and a teaching guide for instructors, and a business design template for student use.
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Reshaping Entrepreneurship Education With Strategy and Innovation
New small business owners are constantly pressured to play a major role in the economic growth of their respected nation.However, revitalizing how individuals think, research, teach, and implement performance strategies to improve the operations of these small businesses is critical to entrepreneurial success. Reshaping Entrepreneurship Education With Strategy and Innovation is an essential reference source that discusses strategies to overcome performance barriers as well as implementation of effective entrepreneurial processes based on a wide range of global issues.Featuring research on topics such as authentic leadership, business ethics, and social entrepreneurship, this book is ideally designed for entrepreneurs, business professionals, scholars, researchers, students, and practitioners seeking coverage on innovative performance operations of small businesses.
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Digital Analytics for Marketing
This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy.It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions.The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions.The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box. Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics. Online support materials for this book include an instructor’s manual, test bank, and PowerPoint slides.
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Digital Innovation Strategy
Based on applied economics and from the perspective of an innovator seeking to develop a new digital business, this textbook is aimed at MBA and advanced undergraduate audiences interested in innovation strategy and competition in digital industries.Step-by-step, the book guides innovators through a dynamic market analysis and business model design, leading to an assessment of the future evolution of the market and the broader innovation ecosystem, and what the innovator can do to position the innovation for continued success.Each chapter defines and provides references for key concepts that can be further explored through suggested readings and study questions.Real-world case studies further facilitate forming a comprehensive view on how to resolve strategic challenges of digital innovation.The topics covered in this text are essential for a broad range of managers, consultants, entrepreneurs, technologists, and analysts to understand in depth.
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Which course of study would you recommend for me: Business or Entrepreneurship?
If you are interested in learning about the overall operations and management of organizations, I would recommend studying Business. This course of study will provide you with a broad understanding of various business functions such as marketing, finance, and human resources. On the other hand, if you have a strong passion for creating and developing new ventures, then Entrepreneurship would be a better fit for you. This course will focus on the skills and knowledge needed to start and grow a successful business from the ground up. Ultimately, the choice between Business and Entrepreneurship depends on your career goals and interests.
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Which course of study is better for entrepreneurship?
Both business and entrepreneurship courses of study can be beneficial for aspiring entrepreneurs. A business course provides a strong foundation in areas such as finance, marketing, and management, which are essential for running a successful business. On the other hand, an entrepreneurship course focuses specifically on developing the skills and mindset needed to start and grow a business. Ultimately, the best course of study for entrepreneurship will depend on the individual's goals, interests, and learning style.
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What is the difference between training as a merchant in e-commerce and a dual study program in e-commerce?
Training as a merchant in e-commerce typically involves a more hands-on approach to learning the skills and knowledge needed to work in the e-commerce industry. It often focuses on practical, on-the-job training within a specific company. On the other hand, a dual study program in e-commerce combines theoretical education at a university or college with practical work experience at a company. This allows students to gain a deeper understanding of e-commerce concepts while also developing real-world skills through work placements. Overall, a dual study program provides a more comprehensive and structured approach to learning e-commerce compared to traditional merchant training.
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What is the difference between a training as a merchant in E-commerce and a dual study program in E-commerce?
A training as a merchant in E-commerce typically involves a combination of practical on-the-job training and theoretical classroom learning. This type of training usually leads to a recognized vocational qualification and provides a solid foundation in the specific skills and knowledge required for a career in E-commerce. On the other hand, a dual study program in E-commerce combines academic study at a university or college with practical work experience at a company. This program typically leads to a bachelor's degree and provides a deeper understanding of E-commerce concepts, strategies, and technologies, as well as the opportunity to gain real-world experience in the field. In summary, while both options provide valuable training in E-commerce, a training as a merchant focuses more on practical skills and vocational qualifications, while a dual study program offers a more comprehensive education and a higher academic degree.
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