A Classification of Research on New Product Development in Small Medium Enterprises

Muhammad Iqbal, Amalia Suzianti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

New Product Development (NPD) is pivotal for company's business. Recent analysis on NPD research shows that national-specific scope of NPD studies is important. In the context of national economy, Small and Medium Enterprises (SMEs) has important role, and thus this article tries to elaborate and classify the research of NPD in SMEs, as an effort to gain an insight of this topic. The findings from the study is that dominant research areas on SME's NPD are classified into three major areas: success-failure factors, followed by NPD strategy, and staged process. More emphasis should be put on topics about radical products, ideation and creativity, and the new product development speed.

Original languageEnglish
Title of host publicationAsia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Proceedings
PublisherAssociation for Computing Machinery
Pages37-42
Number of pages6
ISBN (Electronic)9781450376006
DOIs
Publication statusPublished - 16 Jun 2020
Event3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Depok, Online, Indonesia
Duration: 16 Jun 2020 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020
CountryIndonesia
CityDepok, Online
Period16/06/20 → …

Keywords

  • New Product Development
  • NPD Failure
  • NPD Success
  • Small and Medium Enterprise
  • Staged Process

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  • Cite this

    Iqbal, M., & Suzianti, A. (2020). A Classification of Research on New Product Development in Small Medium Enterprises. In Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Proceedings (pp. 37-42). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3400934.3400943