Abstract
Inter-functional research carries unique problems and challenges which include data collection, management, and analysis. This paper discusses these issues in the context of a cross-functional empirical study using a multiple-informant design. A process is presented to manage the data at the input, processing, and output phases of a research project. Although the process was developed for investigation into the manufacturing - marketing interface, it may be generalized to ease the analytical problems and therefore expand the frontiers of cross-functional research.
| Original language | English (US) |
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| Pages | 1003-1005 |
| Number of pages | 3 |
| State | Published - Dec 1 1997 |
| Event | Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3) - San Diego, CA, USA Duration: Nov 22 1997 → Nov 25 1997 |
Other
| Other | Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3) |
|---|---|
| City | San Diego, CA, USA |
| Period | 11/22/97 → 11/25/97 |
All Science Journal Classification (ASJC) codes
- Management Information Systems
- Hardware and Architecture