This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.
The technologies of the Internet have exerted an enormous influence on the way we live and work. This volume in the "Advances in Management Information Systems" series presents cutting-edge research on the transformation of the workplace by the use of these information technologies. The book focuses first on the deleterious transformations (such as "cyberloafing"), then the promising ones (such as the emergence of virtual teams), and then the ways the troubling transformations can be redeemed for organizational benefit. The editors overlay IT topics with insights from organizational behavior, human resource management, organizational justice, and global culture.
Strong leadership is necessary to drive the transformational change required to build and apply digital capabilities across organizations. Digital transformation in the supply chain is a leadership problem first and foremost. This book draws out some of the key digital business strategies supply chain leaders must become familiar with as they take on the responsibilities of leading transformations within their firms. The central rationale of the book is to establish a clear business case for the performance shifts and opportunities of the Digital Supply Chain. The benefits of a digital supply chain for firms can be summarized as uniquely reducing the amount of trade-off between costs and customer satisfaction. The challenges, complexity, and management involved in transforming to a digital supply chain have slowed many firms in their implementation. The key to unlocking this value and advantage is a new, robust, and digitally aware supply chain leadership mindset. It will provide readers with a practical Digital Supply Chain Leadership Road Map that will accelerate actions in technology, analytics, talent and business models. The road map to digital transformation will step the reader through these critical dimensions and illustrate how they can support their own organizational transformation by developing greater levels of maturity. This book will be most valued by supply chain leaders in medium to large scale organizations, as well as consultants and academics interested in digital business and supply chain transformation. The book will also be valuable for students studying digital transformation, supply chain, and operations.
Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store these data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand of their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.
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