SHORT-TERM AND LONG-TERM RETURNS TO INNOVATION FROM THE APPLICATION OF TECHNOLOGY AND TRAINING PRACTICES

Christopher McGrath () and Jennifer Percival ()
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Christopher McGrath: Faculty of Business and Information Technology, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, Ontario, Canada
Jennifer Percival: Faculty of Business and Information Technology, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, Ontario, Canada

International Journal of Innovation Management (ijim), 2013, vol. 17, issue 05, 1-18

Abstract: The intention of this paper is to investigate innovation outcomes associated with complementary sets of training practices. Our analysis is performed using a multiple linear regression model with lagged variables on several different service sectors. We lagged three training and technology factors and noted the extent of innovation within and between these factors while comparing returns to innovation in the short-term (one year) to the long-term (the following six years). We hypothesised that the complexity of technology and process of learning by doing/using would result in short-term innovation returns being far less than those experienced in the long-term. We predicted the opposite would occur for the training factors due to the obsolescence of acquired skills over time. Our results show that short-term innovation returns for training factors are consistently higher than those for technology. This lends support to our hypothesis.

Keywords: Training practices; innovation return on investment; complementaries; technology implementation (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1142/S1363919613500230

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