This accessible, comprehensive yet remarkably concise textbook is designed to help students and researchers in business and management with their research project. It covers key qualitative research methods, data collection techniques and explores how to analyse qualitative data, before providing invaluable advice on how to write up your research ......
This accessible guide takes you through the process of designing, conducting and writing up a research project using case study methods. In his characteristic warm and friendly style, Gary Thomas covers each step at a confidence-building pace, helping you to get to grips with the theory and practice of doing a case study. Focusing on vital issues like validity, reliability and quality in research, the author helps you ensure your research is rigorous and methodologically sound. This third edition: * Offers an expanded discussion of key ethical issues in case study research * Provides up to date information about using social media in research * Presents a new navigation tool to help you plan your case study project * Enables you to develop the skills you need to become a critical and reflexive researcher Covering international examples of case study in practice and accompanied by downloadable checklists and templates, this book is the perfect companion to help you successfully complete a case study.
Best Practices for Rigorous, Credible, and Impactful Research
Herman Aguinis's Research Methodology provides a comprehensive guide to conducting high-impact empirical research. A valuable resource for all researchers, it offers step-by-step explanations of diverse methodologies with practical guidelines. This text aids readers in selecting compelling topics, reporting results, and evaluating published ......
A Handbook for Developing, Forecasting, and Launching New Products and Services
A USA Today Bestseller A leading global consulting firm on how to achieve new product launch success rates far above industry averages. New product launches are risky. But disciplined innovation practices lead to success rates well above industry benchmarks. Predictable Winners is a comprehensive handbook of best practices for improving the ......
It is vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use ......
A key step for researchers wanting to produce interesting and influential theory development is formulating innovative research questions. In this text, Alvesson and Sandberg have developed a problematization methodology for identifying and challenging the assumptions underlying existing knowledge, and for generating research questions that can lead to more impactful theories. The second edition of this popular text has been fully updated, with more illustrative examples and insights from a diverse range of recent studies which explore methods for conducting more innovative research. This book is essential reading for students and researchers looking to formulate interesting research questions and conduct more engaging and original research. Mats Alvesson is Professor of Business Administration at the University of Bath, and also affiliated with Lund University, Stockholm School of Economics and Bayes Business School, City, University of London. Joergen Sandberg is Professor in the University of Queensland (UQ) Business School and Honorary Professor at Warwick Business School.
Written for the non-mathematician and free of unexplained technical jargon, Applied Statistics: Business and Management Research provides a user-friendly introduction to the field of applied statistics and data analysis. Featuring step-by-step explanations of how to carry out successful quantitative research, and supported by examples from IBM (R) SPSS (R) Statistics, this textbook is an essential resource for students and researchers of business and management. A range of online resources for both students and lecturers, including a teaching guide, PowerPoint slides and datasets, are available via the companion website. Andrew R. Timming is Professor of Human Resource Management and Deputy Dean Research & Innovation in the School of Management at RMIT University, Australia.
This unique and popular text, now in a sixth edition, clearly and succinctly guides Accounting students and researchers in their understanding and conducting of research from conception to completion, across a wide range of research methods, including quantitative, qualitative and mixed-methods research. This latest edition provides new and extended coverage, including the role and impact of social media, big data analytics, data mining, and emerging and disruptive technologies, such as Blockchain. There is also a renewed focus on the role of ethics in Accounting research. This text remains essential reading for those completing a research methods course, project/dissertation or other form of individual study in Accounting. Malcolm Smith was Foundation Professor of Accounting at the University of South Australia.
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business's customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.
