Mark Easterby-Smith passed away in 2020. He was an Emeritus Professor at the University of Lancaster. His field was organizational learning. He had a first degree in Engineering Science and a PhD in Organizational Behaviour from Durham University and was an active researcher for over 30 years with primary interests in methodology and learning processes. He carried out evaluation studies in many European companies, and led research projects on management development, organizational learning, dynamic capabilities and knowledge transfer across international organizations in the UK, India and China.Mark published numerous academic papers and over ten books including: Auditing Management Development (Gower, 1980); The Challenge to Western Management Development (Routledge, 1989); Evaluation of Management Education, Training and Development (Gower, 1994); Organizational Learning and the Learning Organization (Sage, 1998); The Handbook of Organizational Learning and Knowledge Management, 2nd edn (Wiley, 2011).At Lancaster he was, variously, Director of the School’s Doctoral Programme, Director of the Graduate Management School and Head of Department. Externally he spent several years as a visiting faculty member on the International Teachers’ Programme, acting as Director when it was held at the London Business School in 1984. During the early 1990s he was national co-ordinator of the Management Teaching Fellowship Scheme funded by the UK’s Economic and Social Research Council (ESRC), which was responsible for training 180 new faculty members across UK management schools. He was a former member of the ESRC Post-graduate Training Board and was President of the British Academy of Management in 2006 and Dean of Fellows in 2008.
This bestselling textbook has been fully updated, and provides readers with a comprehensive overview of methods for conducting business and management research. Highly visual, and written in a clear and accessible way, the book includes helpful learning features throughout, including learning goals at the start of each chapter, a research in action feature, examples, a Research Plan Canvas template and more. The content has been brought up-to-date with the inclusion of big data, predictive analytics and a dedicated chapter on machine learning. Accompanying the book is a wealth of online resources to further enhance your learning experience, including: MCQs Video content Templates and data sets Glossary flashcards Additional case studies
