Consumer-Oriented Tech Mining: Integrating the Consumer Perspective into Organizational Technology Intelligence - The Case of Autonomous Driving

Egger, Marc; Schoder, Detlef

Consumer-Oriented Tech Mining: Integrating the Consumer Perspective into Organizational Technology Intelligence - The Case of Autonomous Driving

Files

paper0137.pdf (988.74 KB)

Date

2017-01-04

Authors

Egger, Marc

Schoder, Detlef

Abstract

To avoid missing technological opportunities and to counteract risks, organizations have to scan and monitor developments in the external environment through a structured process of technology intelligence. Previous approaches in tech mining—the application of text mining for technology intelligence —have primarily focused on the elicitation of technical or legal information from web, patent, or research databases. However, knowledge of consumers’ needs, fears, and hopes is a prerequisite for the success of an emerging technology in the marketplace. Thus, we claim that technology intelligence needs to also consider consumers’ technology perceptions. Hence, we propose a novel and comprehensive approach to collect user-generated content from the web and apply text mining to derive consumer perceptions. In doing so, we align with an established tech-mining process. This paper illustrates our approach on the emerging technology of autonomous driving and provides an initial indication of concurrent validity.

Keywords

consumer perception, technology intelligence, tech mining, text mining, user-generated content

URI

http://hdl.handle.net/10125/41286

Extent

10 pages

Related To

Proceedings of the 50th Hawaii International Conference on System Sciences

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

Collections

Data, Text, and Web Mining for Business Analytics Minitrack

Full item page

Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.