Cross-functional multiple informant empirical research: Minimizing problems in data analysis

Diane Parente

Cross-functional multiple informant empirical research: Minimizing problems in data analysis

Diane Parente

Black School of Business (Behrend)

Research output: Contribution to conference › Paper › peer-review

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)
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

Cite this

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title = "Cross-functional multiple informant empirical research: Minimizing problems in data analysis",

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.",

author = "Diane Parente",

year = "1997",

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day = "1",

language = "English (US)",

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note = "Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3) ; Conference date: 22-11-1997 Through 25-11-1997",

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T2 - Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3)

AU - Parente, Diane

PY - 1997/12/1

Y1 - 1997/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0031315441

UR - https://www.scopus.com/pages/publications/0031315441#tab=citedBy

M3 - Paper

AN - SCOPUS:0031315441

SP - 1003

EP - 1005

Y2 - 22 November 1997 through 25 November 1997

ER -

Cross-functional multiple informant empirical research: Minimizing problems in data analysis

Abstract

Other

All Science Journal Classification (ASJC) codes

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