Lead users of business mobile services |
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| Institution: | 1. University of Eastern Finland, Business School, P.O. Box 111, FI-80101 Joensuu, Finland;2. HAAGA-HELIA University of Applied Sciences, Ratapihantie 13, FI-00520 Helsinki, Finland;1. Department of Information Systems and Business Analytics, Hofstra University, 11501, USA;2. H. John Heinz III College of Information Systems and Public Policy, Carnegie Mellon University, 15213, USA;1. School of Economics and Management, Xidian University, Xi’an, Shaanxi, 710071, China;2. Fox School of Business, Temple University, Philadelphia, PA 19122, USA;3. Robinson College of Business Administration, Georgia State University, Atlanta, GA 30302, USA;1. Petróleo Brasileiro S.A.- Petrobras University, Rua Ulysses Guimarães, 565 – Cidade Nova, Rio de Janeiro, RJ, 20.211-225, Brazil;2. Fluminense Federal University, Faculty of Engineering, Department of Industrial Engineering, Industrial Engineering Graduate Program, Rua Passo da Pátria, 156, bloco D, Sala 306, São Domingos, Niterói, RJ, 24.210-240, Brazil;1. IMT Atlantique, LEMNA, 4 rue Alfred Kastler, BP 20722, 44307 Nantes Cedex 3, France;2. University of Nantes, LEMNA, SKEMA Business School, Chemin de la Censive du Tertre, BP 52231, 44322 Nantes Cedex 3, France;3. University of South Florida, Muma College of Business, 4202 E. Fowler Avenue, BSN 3403, Tampa, FL 33620, USA;1. Department of Decision and Information Sciences, Oakland University, Elliott Hall, Room 325, 275 Varner Drive, Rochester, MI 48309-4485, United States;2. Department of Information Systems and Analytics, Farmer School of Business, Miami University, 800 E High St, Oxford, OH 45056, United States |
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| Abstract: | This study examines characteristics that relate to lead userness in using business mobile services. From a large dataset of 2306 business decision-makers, the study identifies 205 lead users who are ahead of the majority in using business mobile services, while for the majority (n = 2101), business mobile services mainly supplement desktop and laptop computers. The authors test a binary logistic regression model in which individual technology readiness, sociodemographic variables, Internet use, and perceived importance of digital touchpoints predict lead userness in relation to business mobile services. The results show that job level is a highly significant predictor for lead userness in a work-related context, with senior management and entrepreneurs having the greatest likelihood for the use of business mobile services. Innovativeness and the perceived importance of mobile applications and social media also serve as positive predictors, while the perceived importance of websites and email result in a negative effect. The findings further suggest that the odds of being a lead user decrease by 2 percent per additional year of age, and that the odds of men is over 1.4 times greater than the odds of women. |
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| Keywords: | Business mobile services Lead user theory mobile adoption Innovativeness Personal characteristics |
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