THE PREDICTION OF THE SUCCESS OF NEW PRODUCT DEVELOPMENT USING THE COMBINATION OF FACTOR ANALYSIS AND ARTIFICIAL NEURAL NETWORK

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SOLTANI FESAGHANDIS GHOLAMRAZA; POOYA ALIREZA; KAZEMI MOSTAFA; NAJI AZIMI ZAHRA

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Journal: PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT) Year:2016 | Volume:10 | Issue:37 Page(s): 127-155

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Title

THE PREDICTION OF THE SUCCESS OF NEW PRODUCT DEVELOPMENT USING THE COMBINATION OF FACTOR ANALYSIS AND ARTIFICIAL NEURAL NETWORK

Author(s)

SOLTANI FESAGHANDIS GHOLAMRAZA | POOYA ALIREZA | KAZEMI MOSTAFA | NAJI AZIMI ZAHRA | Issue Writer Certificate

Keywords

SUCCESS OF NEW PRODUCT DEVELOPMENTQ1

FACTOR ANALYSISQ2

ARTIFICIAL NEURAL NETWORKQ2

Abstract

The success of new products is as the greatest element for the company's success and even their survival. However, numerous studies show that the failure rate of new product development as a fundamental problem in many companies has been raised. Many companies are trying to predict the success of the development of new product before its development. The aim of this study was to predict the SUCCESS OF NEW PRODUCT DEVELOPMENT using a combination of FACTOR ANALYSIS and ARTIFICIAL NEURAL NETWORK in the food and beverage industry. This research based on purpose is practical and based on method is descriptive. The population of this research is the food and beverage manufacturers in the province of East Azerbaijan in 1394. In order to collect data two questionnaires have been distributed among the population after the validity and reliability assessments. In order to analyze the data in this study, FACTOR ANALYSIS and ARTIFICIAL NEURAL NETWORK is used. Analysis of the data revealed the presence of six main structures as factors in the SUCCESS OF NEW PRODUCT DEVELOPMENT: conceptualization of new product, market orientation, design orientation, technology orientation, use of sources, and management of new product development as the effective elements in the development of the success of new product. Furthermore, the prediction of the success of new product’s development using neural networks shows that the designed network was able to predict the success of the development of new product correctly.

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APA: Copy

SOLTANI FESAGHANDIS, GHOLAMRAZA, POOYA, ALIREZA, KAZEMI, MOSTAFA, & NAJI AZIMI, ZAHRA. (2016). THE PREDICTION OF THE SUCCESS OF NEW PRODUCT DEVELOPMENT USING THE COMBINATION OF FACTOR ANALYSIS AND ARTIFICIAL NEURAL NETWORK. PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT), 10(37), 127-155. SID. https://sid.ir/paper/181957/en

Vancouver: Copy

SOLTANI FESAGHANDIS GHOLAMRAZA, POOYA ALIREZA, KAZEMI MOSTAFA, NAJI AZIMI ZAHRA. THE PREDICTION OF THE SUCCESS OF NEW PRODUCT DEVELOPMENT USING THE COMBINATION OF FACTOR ANALYSIS AND ARTIFICIAL NEURAL NETWORK. PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT)[Internet]. 2016;10(37):127-155. Available from: https://sid.ir/paper/181957/en

IEEE: Copy

GHOLAMRAZA SOLTANI FESAGHANDIS, ALIREZA POOYA, MOSTAFA KAZEMI, and ZAHRA NAJI AZIMI, “THE PREDICTION OF THE SUCCESS OF NEW PRODUCT DEVELOPMENT USING THE COMBINATION OF FACTOR ANALYSIS AND ARTIFICIAL NEURAL NETWORK,” PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT), vol. 10, no. 37, pp. 127–155, 2016, [Online]. Available: https://sid.ir/paper/181957/en

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