Exploring the Top-Priority Innovation Types and Their Reasons

IF 1 Q3 ECONOMICS Foresight and STI Governance Pub Date : 2022-09-20 DOI:10.17323/2500-2597.2022.3.6.16
Jong-Seok Kim, Jinwon Kang
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引用次数: 2

Abstract

This is a foresight study to explore the top priorities of innovation types and the reasons behind them with respect to artificial intelligence (AI), big data, and the Internet of Things (IoT). This study set up two research strategies. One of the research strategies is to make the research design and methods fit with this study’s intellectual queries. Another strategy is to use the triangulations of method, analysis, data source, and researcher. This study selected expert panels, the Delphi technique, and interviews. In the collection of the qualitative and quantitative data from 23 experts through the Delphi surveys, it organized respectively the qualitative and quantitative data analysis. This study conducted the two main data analyses–Delphi results and interview data. Service innovation of AI and process innovation of IoT are chosen as a top-priority-innovation type. Marketing innovation of big data, as non-technological innovation, is selected as a top-priority innovation type. Through the interviews with 17 experts, for each of the pairs, all the experts said that the three technologies can have greater technological capabilities going beyond the existing capacities of relevant technologies. AI as hyper-intelligence can help to provide more customized or sophisticated converging offerings, the regulation of various non-standardized services and service provisions through the interaction between AI and customers or employees. The technological capacity of big data and the need of customer preferences can lead marketing innovation. IoT can create the new or improved process of the manufacturing, production, and supply chain areas through hyper-connectivity in terms of quality, quantity, speed, and coverage of information.
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探索最优先的创新类型及其原因
这是一项前瞻性研究,旨在探索人工智能(AI)、大数据和物联网(IoT)方面创新类型的首要任务及其背后的原因。本研究提出了两种研究策略。研究策略之一是使研究设计和方法与本研究的智力问题相适应。另一种策略是使用方法、分析、数据源和研究人员的三角关系。本研究选择了专家小组、德尔菲技术和访谈。在通过德尔菲调查收集23位专家的定性和定量数据的过程中,分别组织了定性和定量的数据分析。本研究进行了两个主要的数据分析——德尔菲结果和访谈数据。人工智能的服务创新和物联网的流程创新被选为最优先的创新类型。大数据营销创新作为非技术创新,被选为最优先的创新类型。通过对17位专家的采访,所有专家都表示,这三种技术可以在相关技术现有能力之外具有更大的技术能力。人工智能作为超智能,可以通过人工智能与客户或员工之间的互动,帮助提供更定制或更复杂的融合产品,监管各种非标准化服务和服务提供。大数据的技术能力和客户偏好的需求可以引领营销创新。物联网可以通过信息的质量、数量、速度和覆盖范围方面的超连接,创建制造、生产和供应链领域的新流程或改进流程。
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
8
审稿时长
25 weeks
期刊介绍: Foresight and STI Governance is an international interdisciplinary peer-reviewed open-access journal. It publishes original research articles, offering new theoretical insights and practical knowledge related to the following areas: strategic planning, science, technology, and innovation (STI) policy, foresight and other future studies. The journal considers articles on the following themes: - Foresight methods and best practices; - Long-term social and economic priorities for strategic planning and policy making; - Innovation strategies at the national, regional, sectoral, and corporate levels; - The development of National Innovation Systems; - The analysis of the innovation lifecycle from idea to the market; - Technological trends, breakthroughs, and grand challenges; - Technological changes and their implications for economy, policy-making, and society; - Corporate innovation management; - Human capital in STI.
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