Evaluation of TechnologicalInnovation Initiatives for IndianMSMEs Using the Fuzzy-BasedModel

D. Singh
{"title":"Evaluation of TechnologicalInnovation Initiatives for IndianMSMEs Using the Fuzzy-BasedModel","authors":"D. Singh","doi":"10.1177/23939575231185743","DOIUrl":null,"url":null,"abstract":"Micro, small and medium enterprises (MSMEs) are considered as a growing sector of the country due to their huge growth potential and possible social or economic effect, especially on employment and revenue generation. Existent globalised competition compels companies to constantly look for methods to improve their products and services. Without continuous innovation, manufacturing companies cannot remain competitive. Innovation represents the keyways the organisation responds to technical or market-related challenges. All manufacturers are currently trying to implement Multicriteria Decision-Making (MCDM) techniques such as Analytic Hierarchy Process, Piecewise Affine and fuzzy models, along with technology innovation initiatives (TIIs) for enhancing their production performance. In the current study, an attempt is made to assess the synergy fit of TIIs for MSMEs in India. The study considers metrics related to these initiatives, such as product performance and sales performance. In addition, these procedures use the MATLAB Fuzzy Logic Toolbox for the analysis of a Simulink block for designing and simulating the data set.","PeriodicalId":205721,"journal":{"name":"Journal of Entrepreneurship and Innovation in Emerging Economies","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Entrepreneurship and Innovation in Emerging Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23939575231185743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Micro, small and medium enterprises (MSMEs) are considered as a growing sector of the country due to their huge growth potential and possible social or economic effect, especially on employment and revenue generation. Existent globalised competition compels companies to constantly look for methods to improve their products and services. Without continuous innovation, manufacturing companies cannot remain competitive. Innovation represents the keyways the organisation responds to technical or market-related challenges. All manufacturers are currently trying to implement Multicriteria Decision-Making (MCDM) techniques such as Analytic Hierarchy Process, Piecewise Affine and fuzzy models, along with technology innovation initiatives (TIIs) for enhancing their production performance. In the current study, an attempt is made to assess the synergy fit of TIIs for MSMEs in India. The study considers metrics related to these initiatives, such as product performance and sales performance. In addition, these procedures use the MATLAB Fuzzy Logic Toolbox for the analysis of a Simulink block for designing and simulating the data set.
基于模糊模型的印度中小微企业技术创新活动评价
由于其巨大的增长潜力和可能的社会或经济影响,特别是在就业和创收方面,微型、小型和中型企业(MSMEs)被认为是该国一个不断增长的部门。存在的全球化竞争迫使企业不断寻找改进产品和服务的方法。没有持续的创新,制造企业就无法保持竞争力。创新是组织应对技术或市场相关挑战的关键途径。目前,所有制造商都在尝试实施多标准决策(MCDM)技术,如层次分析法、分段仿射和模糊模型,以及技术创新计划(TIIs),以提高其生产绩效。在当前的研究中,试图评估印度中小微企业的科技创新的协同契合度。该研究考虑了与这些计划相关的指标,如产品性能和销售业绩。此外,本程序利用MATLAB模糊逻辑分析工具箱对Simulink块进行数据集的设计和仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信