A review of forecasting models for new products
<p><strong>Purpose</strong>. The main objective of this article is to present an up-to-date review of new product forecasting techniques.</p> <p><strong>Design/methodology/approach:</strong> A systematic review of forecasting journals was carried out using t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Catalan |
| Published: |
OmniaScience
2014-02-01
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| Series: | Intangible Capital |
| Subjects: | |
| Online Access: | http://www.intangiblecapital.org/index.php/ic/article/view/482 |
| _version_ | 1818657145307004928 |
|---|---|
| author | Marta Mas-Machuca Marina Sainz Carme Martinez-Costa |
| author_facet | Marta Mas-Machuca Marina Sainz Carme Martinez-Costa |
| author_sort | Marta Mas-Machuca |
| collection | DOAJ |
| description | <p><strong>Purpose</strong>. The main objective of this article is to present an up-to-date review of new product forecasting techniques.</p> <p><strong>Design/methodology/approach:</strong> A systematic review of forecasting journals was carried out using the ISI-Web of Knowledge database. Several articles were retrieved and examined, and forecasting techniques relevant to this study were selected and assessed.</p> <p><strong>Findings:</strong> The strengths, weaknesses and applications of the main forecasting models are discussed to examine trends and set future challenges.</p> <p><strong>Research limitations/implications:</strong> A theoretical reference framework for forecasting techniques classified into judgmental, consumer/market research, cause-effect and artificial intelligence is proposed. Future research can assess these models qualitatively.</p> <p><strong>Practical implications:</strong> Companies are currently motivated to launch new products and thus attract new customers to expand their market share. In order to reduce uncertainty and risk, many companies go to extra lengths to forecast sales accurately using several techniques.</p> <p><strong>Originality/value:</strong> This article outlines new lines of research on the improvement of new product performance which will aid managers in decision making and allow companies to sustain their competitive advantages in this challenging world.</p><br /> |
| first_indexed | 2024-12-17T03:36:49Z |
| format | Article |
| id | doaj.art-515fad4b6ad04aa9ad08928c45d59a99 |
| institution | Directory Open Access Journal |
| issn | 1697-9818 |
| language | Catalan |
| last_indexed | 2024-12-17T03:36:49Z |
| publishDate | 2014-02-01 |
| publisher | OmniaScience |
| record_format | Article |
| series | Intangible Capital |
| spelling | doaj.art-515fad4b6ad04aa9ad08928c45d59a992022-12-21T22:05:06ZcatOmniaScienceIntangible Capital1697-98182014-02-0110112510.3926/ic.482265A review of forecasting models for new productsMarta Mas-Machuca0Marina Sainz1Carme Martinez-Costa2Prof. Lectora. Universitat Internacional de Catalunya (UIC)Universitat Politecnica de CatalunyaAssociate Professor of Industrial Engineering at the Universitat Politècnica de Catalunya (UPC).<p><strong>Purpose</strong>. The main objective of this article is to present an up-to-date review of new product forecasting techniques.</p> <p><strong>Design/methodology/approach:</strong> A systematic review of forecasting journals was carried out using the ISI-Web of Knowledge database. Several articles were retrieved and examined, and forecasting techniques relevant to this study were selected and assessed.</p> <p><strong>Findings:</strong> The strengths, weaknesses and applications of the main forecasting models are discussed to examine trends and set future challenges.</p> <p><strong>Research limitations/implications:</strong> A theoretical reference framework for forecasting techniques classified into judgmental, consumer/market research, cause-effect and artificial intelligence is proposed. Future research can assess these models qualitatively.</p> <p><strong>Practical implications:</strong> Companies are currently motivated to launch new products and thus attract new customers to expand their market share. In order to reduce uncertainty and risk, many companies go to extra lengths to forecast sales accurately using several techniques.</p> <p><strong>Originality/value:</strong> This article outlines new lines of research on the improvement of new product performance which will aid managers in decision making and allow companies to sustain their competitive advantages in this challenging world.</p><br />http://www.intangiblecapital.org/index.php/ic/article/view/482forecasting, new product, forecasting techniques, survey |
| spellingShingle | Marta Mas-Machuca Marina Sainz Carme Martinez-Costa A review of forecasting models for new products Intangible Capital forecasting, new product, forecasting techniques, survey |
| title | A review of forecasting models for new products |
| title_full | A review of forecasting models for new products |
| title_fullStr | A review of forecasting models for new products |
| title_full_unstemmed | A review of forecasting models for new products |
| title_short | A review of forecasting models for new products |
| title_sort | review of forecasting models for new products |
| topic | forecasting, new product, forecasting techniques, survey |
| url | http://www.intangiblecapital.org/index.php/ic/article/view/482 |
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