识别电子商务行业的新兴技术-以需求为导向的方法

Kyungpyo Lee, Young-Mi Song, Sungjoon Lee
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引用次数: 0

摘要

在过去的几年里,为了在有限的预算范围内提高研发效率,人们在预测技术未来和新兴技术方面做出了巨大的努力。因此,本研究的目的是开发一种方法来识别新的和有前途的技术,并将其应用于电子商务领域。与以往的研究采用技术驱动的方法不同,我们采用需求驱动的方法,从未来的需求出发,推导出满足需求的必要技术。为此,我们首先使用STEEP分析来考虑未来的专业。其次,从每个重大问题中推导出未来的社会需求,然后推导出满足核心需求所需的技术作为新兴技术的候选。最后,从可行性和问题相关性的角度对候选技术进行了评估,并在此基础上确定了十大最重要的新兴技术。考虑到信息技术不仅以技术驱动的形式发展,而且以市场驱动的形式发展,所建议的方法预计将被用作发现新兴技术的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Emerging Technologies in the e-Business Industry - A Needs-driven Approach
Over the last few years, there have been huge efforts to forecast the technological future and emerging technologies, as an attempt to increase R&D efficiency within a limited budget. Therefore, this research purposes to develop a methodology for identifying new and promising technologies and apply it to the field of e-business. Unlike the previous studies taking a technology-driven approach, we take a needs-driven approach starting from future needs and derive a necessary technology to meet the needs. For this purpose, we firstly consider the future major using STEEP analysis. Secondly, the prospective social needs are derived from each major issue and then, the technologies required to meet the core needs are deduced to be a candidate of emerging technologies. Finally, the candidate technologies are evaluated from the viewpoint of feasibility and issues-relatedness, based on which the top 10 most important emerging technologies are determined. The suggested methodology is expected to be utilized as a valuable tool for discovering emerging technologies when considering IT is evolved not only in the form of technology-driven but also in the form of market-driven.
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