scholarly journals EXPRESS: Virtual Reality in New Product Development: Insights from Pre-Launch Sales Forecasting for Durables

2021 ◽  
pp. 002224292110149
Author(s):  
Nathalie Harz ◽  
Sebastian Hohenberg ◽  
Christian Homburg

This investigation examines how consumer durable goods producers can leverage virtual reality for new product development (NPD). First, the authors develop a pre-launch sales forecasting approach with two key features: virtual reality and an extended macro-flow model. To assess its effectiveness, the authors collect data from 631 potential buyers of two real-world innovations. The results reveal that the new approach yields highly accurate pre-launch forecasts across the two field studies: Compared to the actual sales data tracked after the product launches, the prediction errors for the aggregated first-year sales are only 1.9% (Study 1a, original pre-launch sales forecast), 0.0% (Study 1b, forecast with actual advertisement spending), and 20.0% (Study 1b, original pre-launch forecast). Moreover, the average the mean absolute percentage error (MAPE) for the monthly sales is only 23% across both studies. Second, to understand the mechanisms of virtual reality, the authors conducted a controlled laboratory experiment. The findings reveal that virtual reality fosters behavioral consistency between participants’ information search, preferences, and buying behavior. Moreover, virtual reality enhances participants’ perceptions related to presence and vividness, but not their perceptions related to alternative theoretical perspectives. Finally, the authors provide recommendations for when and how managers can use virtual reality in NPD.

Author(s):  
Jonas Jasper

Innovations are an important factor for companies to build and sustain a competitive advantage. Even though companies generate up to 51 % of their income with products and services launched less than three years ago, the failure rate of new product development is still at around 90 %. One way to reduce the failure rate of innovations is to conduct customers’ preference measurements in the early stages of new product development processes. However, customers often display a substantial amount of uncertainty when having to evaluate highly innovative products as they may not be able to grasp its features and functionalities. Therefore, some empirical studies have already compared different presentation forms in a conjoint setting. These studies aim to optimize preference measurement results by exposing respondents to state-of-the-art product descriptions in the new product development process. Based on a quantitative-empirical analysis, this thesis contributes to this research vein by integrating virtual reality-based (VR) product representations within a conjoint setting for the measurement of preferences in the development process of a technically complex innovation. The results of this study point out that VR offers the potential for early customer integration within the new product development process.


2017 ◽  
Vol 2017 ◽  
pp. 24-28
Author(s):  
Fabio Shimabukuro Sandes ◽  
◽  
Fundacao Getulio Vargas

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