This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.

This book on pricing decisions gives practical guidance on how to identify customer value, estimating customers' willingness to pay for these benefits, and on how psychology affects customers' perception of prices in a market. This strategic view on pricing gives the reader a competitive advantage. It empowers them with means to plan and perform a pricing strategy based on their value propositions. The target group for this book is managers, entrepreneurs, and business students. The book guides students in understanding how economics, strategy, marketing, and psychology are combined when it comes to pricing decisions. Further, the chapters contain step-by-step procedures that help managers and entrepreneurs to succeed with complex pricing decisions in busy workdays. The analysis is based on the basic edition of Microsoft Excel software. In sum, the book helps the reader to strategically plan, execute, and win price competitions. The book covers topics such as dynamic pricing, estimation of customers willingness to pay, price competition and wars, customers' reaction to unfair prices, and price tactics and strategy. The book includes specialized chapters on pricing in e-commerce, and pricing in the sharing economy.

This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.