Management in the Era of Big Data: Issues and Challenges

Big Data Reshapes the Manager’s Agenda

Big data is not just a technical challenge. It changes how managers plan, organize, decide, and build trust. Management in the Era of Big Data: Issues and Challenges gathers research-driven chapters that examine this shift from multiple angles, moving from foundational theories to sector-specific applications. Edited by Joanna Paliszkiewicz and published by CRC Press as part of the Data Analytics Applications series, the book offers a wide-ranging view of what data-intensive technologies mean for contemporary management.

Two Sections, Many Management Conversations

The collection is organized into two main parts. The first establishes theoretical foundations, while the second explores applications, prospects, and challenges across industries and public concerns.

Theoretical Foundations

Opening chapters consider innovation management and value creation, human resource management, knowledge management, information management and IT roles, financial management, and the ethics and trust questions that arise when organizations balance risk with innovation. These discussions connect big data to core managerial functions rather than treating analytics as an isolated technical specialty.

Applications, Prospects, and Challenges

The second section widens the frame to agriculture, tourism, customer relationships, blockchain, industry performance, commuting, and qualitative research. Topics include big data in modern farm management, corporate social responsibility in agribusiness, tourism analytics, environmental pressures from agricultural production, CRM in the restaurant industry, blockchain in beef production, the Solow paradox in Polish industry, commuting data for business, and the use of qualitative data alongside real-time quantitative big data.

What Makes This Collection Distinct

This is an edited volume, not a single-author manifesto. That structure brings together different research perspectives and contexts, especially from contributors connected with Polish management and agricultural economics institutions. The result is a book that reads as a survey of emerging management questions—useful for readers who want breadth, examples, and research-led discussion rather than a narrow how-to manual.

Who Will Benefit from Reading It

Managers working with analytics, data strategy, or digital transformation will find frameworks for thinking about technology’s organizational impact. Researchers and graduate students in management, business analytics, and related fields may value the collection as an overview of current debates. Readers interested in sector-specific applications—from farming and agribusiness to tourism and restaurants—will encounter cases that show how big data plays out beyond the technology department.

Practical Value for Data-Driven Organizations

The chapters do not promise simple answers. Instead, they examine tensions: data volume versus data quality, innovation versus risk, quantitative dashboards versus qualitative understanding, and global analytics trends versus local industry conditions. For managers, that tension-aware approach is often more useful than another list of tools. It encourages better questions about governance, ethics, skills, and decision-making culture.

Why It Remains Relevant

As AI, machine learning, blockchain, and the Internet of Things continue to enter everyday business operations, the managerial questions raised here remain central. Management in the Era of Big Data offers a thoughtful, research-based companion for anyone trying to understand how data changes the work of management—and how managers can respond with both technical awareness and human judgment.