Key Variables of High-Tech Products Influencing High-Tech Industries: A Hybrid Multicriteria Decision-Making Analysis

Q1 Business, Management and Accounting

IEEE Engineering Management Review Pub Date : 2024-06-11 DOI:10.1109/EMR.2024.3412116

Vikram Singh;Somesh Kumar Sharma

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Abstract

High-tech products (HTPs) are key drivers that help strengthen the economy of any nation. Literature advocates that most of the research focused on the marketing and exports of HTPs. However, little attention has been paid to examining the variables of HTPs that affect their development in international market competitiveness, posing a challenge for high-tech industries (HTIs). In this context, this research is a unique contribution in this domain, which aims to analyze the key variables of HTPs that influence the performance of HTIs. A theoretical framework of 8 key variables and 30 HTP variables has been developed. The fuzzy multicriteria decision-making technique is applied to prioritize, rank, and measure the interrelationships between variables. This application evolved HTP features as the most prioritized and influential key variable, followed by others, all of which are interrelated. In contrast, nearer to technological development, technical convergence trends, closely related to science, quality of design, and object clarity are the top-globally ranked variables for measuring the performance of key HTP variables. These findings provide a roadmap for designers to maintain the feature of HTP, manufacturers in quality management, marker analysts to select the potential market, and management to make the best decision.

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高技术产品影响高技术产业的关键变量：一种混合多准则决策分析

高科技产品（HTPs）是帮助加强任何国家经济的关键驱动力。文献主张，大部分研究都集中在htp的营销和出口上。然而，对影响高新技术产业国际市场竞争力的变量研究较少，这对高新技术产业的发展提出了挑战。在此背景下，本研究是该领域的独特贡献，旨在分析影响htp绩效的关键变量。建立了一个包含8个关键变量和30个http变量的理论框架。应用模糊多准则决策技术对变量之间的相互关系进行排序、排序和度量。这个应用程序将http特性演化为优先级最高、影响最大的关键变量，其次是其他变量，所有这些变量都是相互关联的。相比之下，更接近技术发展，技术趋同趋势，与科学，设计质量和对象清晰度密切相关，是衡量关键HTP变量性能的全球排名最高的变量。这些发现为设计人员保持HTP特征、制造商进行质量管理、市场分析人员选择潜在市场以及管理层做出最佳决策提供了路线图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Engineering Management Review Business, Management and Accounting-Management of Technology and Innovation

CiteScore

7.40

自引率

0.00%

发文量

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