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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

A Sequential Pattern-Based Method for Mining Technological Context and Developing R&D Strategies for the Cloud Computing Industry

Author(s): Jia-Yen Huang* and Pei-Hua Zhuang

Volume 17, Issue 5, 2023

Published on: 06 September, 2022

Article ID: e190822207734 Pages: 12

DOI: 10.2174/1872212117666220819142124

Price: $65

Abstract

Aims: Cloud computing has been a hot topic in recent years, yet its technology trend is rarely comprehensively studied in peer-reviewed publications. Owing to a great number of professional and technical terms and the increasing volume of technical data presented in patents, it is difficult to analytically identify the timeframe of technological development.

Methods: To remedy this problem, this study uses a sequential pattern method and social network analysis to develop the technological context of cloud computing.

Results & Discussion: The analysis of relative patent position, technology quality, and technology life cycle was incorporated.

Conclusion: This study proposes a method of patent portfolio analysis on the technological level to assist managers of cloud computing enterprises in developing competitive research and development (R&D) strategies.

Keywords: Cloud computing, sequential pattern, social network analysis, technological context, patent portfolios analysis, R&D strategy.

Graphical Abstract

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