Organizational Learning in the Age of Data

1. Front Matter

   Pages i-xvi

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2. Out with the Old – In with the New

   • Andrew Banasiewicz

   Pages 1-36

3. Democratization of Organizations

   • Andrew Banasiewicz

   Pages 37-68

4. Organizational Dynamics and Individual Cognition

   • Andrew Banasiewicz

   Pages 69-86

5. A Brief History of Learning with Data

   • Andrew Banasiewicz

   Pages 87-102

6. Learning with Data in the Twenty-First Century

   • Andrew Banasiewicz

   Pages 103-159

7. Managing by the Numbers

   • Andrew Banasiewicz

   Pages 161-187

8. Decision Automation

   • Andrew Banasiewicz

   Pages 189-221

9. In Machine We Trust

   • Andrew Banasiewicz

   Pages 223-254

10. Letting Go: Knowing When and How

    • Andrew Banasiewicz

    Pages 255-279

11. The Future?

    • Andrew Banasiewicz

    Pages 281-297

12. Back Matter

    Pages 299-307

    PDF

This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices. One of the book’s central themes is the interplay between human reasoning and machine logic in the context of organizational functioning, specifically, the fairly common situations in which subjective beliefs are pitted against objective evidence giving rise to conflict rather than enhancing the quality of organizational sensemaking. Aiming to not only raise the awareness of the potential challenges but also to offer solutions, the book delineates and discusses the core impediments to effective human-information technology interactions, and outlines strategies for overcoming those obstacles on the way to enhancing the efficacy of organizational decision-making.

• human-machine interactions
• technology and organizational decision-making
• artificial vs. human intelligence
• data and sensemaking
• reason-based vs. technology-based sensemaking

• School of Science and Engineering, Merrimack College, North Andover, Massachusetts; School of Management, Cambridge College, Boston, USA

  Andrew Banasiewicz

Dr. Andrew Banasiewicz is a professor of practice and the director of data science and business analytics programs at Merrimack College, a professor of business analytics at Cambridge College, and the founder of Erudite Analytics, a data analytical consultancy focused on risk assessment. Formerly, Dr. Banasiewicz served as a full-time faculty at Boston University, a part-time faculty at Providence College and Harvard University, and a visiting lecturer at universities in Europe and Asia. Before embarking on academic and consulting career,  he spent two decades working as a senior-level quantitative risk and marketing analyst focusing primary  on research design and sampling, predictive modeling and general statistical data analyses, text mining, and impact measurement; he has extensive, hands-on data analytical experience in a wide range of industries including energy, utilities, automotive, financial services, pharmaceuticals, consumer packaged goods, gaming and hospitality. He is the author of five other analytics-focused books, in addition to multiple methodological journal articles and industry white papers. A frequent speaker at national and international professional meetings and conferences, Dr. Banasiewicz is also a Fellow of several professional and academic associations.

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