Research Methods for Business and Management offers a comprehensive and practical guide to business and management research, combining theoretical foundations with step-by-step, hands-on instruction.

It covers the full research process-from design to advanced data analysis-while integrating widely used software tools such as IBM SPSS, PROCESS Macro, AMOS, and ATLAS.ti to support both academic and applied research. Designed to bridge theory and practice, the book guides readers through formulating research problems, designing studies, and analyzing qualitative and quantitative data. It features dedicated chapters on advanced techniques such as mediation, moderation, factor analysis, and structural equation modeling. Ethical guidance on the use of generative artificial intelligence (AI) is also included. Each chapter offers clear learning outcomes, real-world examples, practical exercises, and access to datasets and instructor resources via a companion website.

Ideal for bachelor's, master's, and doctoral students in business, management, and related fields, the book also serves as a valuable resource for instructors and early-career researchers. Its applied approach makes it especially useful for those seeking to enhance their research design and data analysis skills.



Autorentext

Sait Gürbüz, Professor of Organizational Behavior, Human Resource Management, and Research Methods, International Business School, Hanze University of Applied Sciences and Tranzo Department, Tilburg University, the Netherlands.

Ning Ding, Senior Lecturer and Researcher, International Business School, Hanze University of Applied Sciences, the Netherlands.

Arnold Bakker, Professor of Work & Organizational Psychology, Center of Excellence for Positive Organizational Psychology, Erasmus University Rotterdam, the Netherlands; University of Vaasa, Finland; and Department of Industrial Psychology and People Management, University of Johannesburg, South Africa.

Titel
Research Methods for Business and Management
Untertitel
A Practical Guide to SPSS, PROCESS Macro, ATLAS.ti, and AMOS
EAN
9781040554623
Format
E-Book (pdf)
Veröffentlichung
31.03.2026
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
26.33 MB
Anzahl Seiten
450