Mobile Research Methods: Opportunities and challenges of mobile research methodologies
About this ebook
Mobile devices allow a wide range of heterogeneous activities and, as a result, have great potential in terms of the different types of data that can be collected. The use of mobile devices to collect, analyse and apply research data is explored here. This book focuses on the use of mobile devices in various research contexts, aiming to provide a detailed and updated knowledge on what is a comparatively new field of study. This is done considering different aspects: main methodological possibilities and issues; comparison and integration with more traditional survey modes or ways of participating in research; quality of collected data; use in commercial market research; representativeness of studies based only on the mobile-population; analysis of the current spread of mobile devices in several countries, and so on. Thus, the book provides interesting research findings from a wide range of countries and contexts.
This book was developed in the framework of WebDataNet’s Task Force 19. WebDataNet, was created in 2009 by a group of researchers focusing on the discussion on data collection methods. Supported by the European Union programme for the Coordination of Science and Technology, WebDataNet has become a unique, multidisciplinary network that has brought together leading web-based data collection experts from several institutions, disciplines, and relevant backgrounds from more than 35 different countries.
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About the author
Daniele Toninelli is currently Assistant Professor of Statistics and Economics in the Department of Management, Economics and Quantitative Methods at the University of Bergamo (Italy). He graduated in Statistics (2003, University of Milan-Bicocca), and he has an MSc degree in Statistics for Marketing Research and Surveys (2004, University of Milan-Bicocca) and a PhD in Marketing for Enterprise Strategies (2009, University of Bergamo). His other work experience includes: working at PiTre S.r.l. (2000–2001), IBM Italia/Celestica (1994–2001) and Multiplex Arcadia (2002–2003); and work as a PhD student / visiting researcher at Statistics Canada (2008, 2009, 2012–2013) and as a visiting researcher at the University of Ottawa (2012–2013). His teaching activities include teaching the following (main courses): Index Numbers Theory, Statistics for Financial Markets, Economics and Statistics for Marketing Research, Advanced Business Statistics, and Advanced Probability and Statistics for Finance. His main research interests and publication areas are: survey & web survey methodology, price indexes, and statistics for finance. ([email protected])
Robert Pinter is an assistant professor at the Department of Information and Communication, Corvinus University of Budapest and is Head of Mobile Research at eNET Internet Research and Consulting Ltd., a Budapest-based research agency. He is an online research professional who has worked for Ipsos Interactive Services between 2008 and 2012 as online client service director in Hungary, then in the Czech Republic and Russia. Since 2013 he has been the leader of an online-mobile hybrid research system called ‘VeVa’ and has been responsible for the development of its smartphone research application. His teaching activities include online and mobile research methods and information society classes at Corvinus University, Hungary. He is the leader of the WebDataNet COST Action Task Force on Mobile Research. ([email protected])
Pablo de Pedraza works at the Amsterdam Institute for Advanced labour Studies (AIAS, University of Amsterdam) and at the Applied Economics Department of the University of Salamanca. He conducts research in post-adjustment techniques in international labour-oriented web surveys, labour economics, job insecurity, life satisfaction and the use of web data in applied economics. He is the Chairman of WebDataNet (www.webdatanet.eu), an EU Cost Action network that brings together web data and mobile research experts from a variety of disciplines, aiming to address methodological issues of web-based data collection and foster its scientific usage by contributing to its theoretical and empirical foundations, stimulating its integration into the entire research process, and enhancing its integrity and legitimacy. Since 2005 he is a member of the WageIndicator Foundation: www.wageindicator.org. ([email protected])
