Enhancing the simultaneous utilization of measure in product design for academic-practitioner collaboration

Abstract

PurposeThis study aims to enhance the simultaneous utilization of measure in product design by mapping out the possible and potential uses of a measure for both academicians and practitioners.Design/methodology/approachTo map out a way for the simultaneous utilization of measure, the authors assessed and portrayed the diverse facets of a four-factor measure for the development of mobile devices by adopting pluralistic techniques through a series of studies and three different study samples.FindingsThis study provided a solution for enhancing the usability of measure in product management, showing that a measure can be developed using a pluralistic methodology so that the results can be incorporated into the practitioners’ design activities that occur and when the gap between theory and practice is a knowledge production problem.Research limitations/implicationsThe main positioning of this study involves the science-design interface (Simon, 1992) to bridge the important gap between theory and practice by showcasing a measure development for product design as a strategy of intellectual arbitrage (Van De Ven and Johnson, 2006). Relying on the design scientific approach, the authors focused this study on a prescriptive procedure rather than a more rigorous methodological procedure.Practical implicationsThe authors provided product managers with a systematic and synergistic approach to developing a measure and recommended several usages of the developed measure to enhance its simultaneous utilization between academics and practitioners.Originality/valueEmphasizing pluralistic methodology in the measure development, the authors recommended the concept of intra-examination. The first-order intra-examination, utilizing Bayesian Networks, makes available the thick descriptions of the measure and supports reasoning under uncertainty. The second-order intra-examination examined nomological networks regarding the pragmatic relationships between the four factors that comprise the measure and other important constructs.