Research on Survival Portrait of Disruptive Soft Technology in a Context of Multiple Concurrent Frontier and Extreme Competing Context
[Purpose/significance]Starting from a perspective of profiling,this study aims to dissect the sur-vival characteristics of cutting-edge disruptive software technologies in a context of multiple concurrency and intense competition.It seeks to clarify the disparities in technological survival positions and developmental lim-itations,offering new insights to overcome the squeeze of dominant technologies and guide collective progress.[Method/process]An analysis is conducted on the scenarios of multiple concurrencies,disruptive innovation,and intense competition in soft technologies.Representative and general case data are selected and processed into pro-filing labels.After filtering and quantifying expressions,a comparison of the pros and cons of existing aggregation methods is made.The OPTICS algorithm is employed to calculate the reachable distances of seed sets,generating profiles for empirical research.Empirical investigation focuses on exploring differences among soft technologies concerning threats to survival,dominance coefficients,latent networks,and open-source sharing.[Result/conclu-sion]Taking GPT-like technologies as an example for empirical study,the findings demonstrate the ability to gener-ate five survival profiles:weak,low,medium,high,and dominant.These profiles effectively encapsulate aspects of competitiveness,vitality,stability,collaboration,and growth.By integrating these characteristics and technological disparities,an analysis is conducted from perspectives of threat control,hegemonic resistance,benign competition,and architectural openness,revealing current limitations.This analysis provides effective support for the formula-tion of sustainable survival strategies.
万方数据
维普
