The fast adoption of new technologies forces companies to continuously adapt
their operations making it harder to predict workforce requirements. Several
recent studies have attempted to predict the emergence of new roles and skills
in the labour market from online job ads. This paper aims to present a novel
ontology linking business transformation initiatives to occupations and an
approach to automatically populating it by leveraging embeddings extracted from
job ads and Wikipedia pages on business transformation and emerging
technologies topics. To our knowledge, no previous research explicitly links
business transformation initiatives, like the adoption of new technologies or
the entry into new markets, to the roles needed. Our approach successfully
matches occupations to transformation initiatives under ten different
scenarios, five linked to technology adoption and five related to business.
This framework presents an innovative approach to guide enterprises and
educational institutions on the workforce requirements for specific business
transformation initiatives.

本研究提出了一种将业务转型倡议与职业相连接的新本体论，并通过利用从工作广告和维基百科页面中提取的嵌入来自动填充该本体论的方法。这一框架对于指导企业和教育机构在特定的业务转型倡议中的劳动力需求具有创新意义。

创新至职业本体论：将业务转型计划与职业和技能相连接

The Innovation-to-Occupations Ontology: Linking Business Transformation  Initiatives to Occupations and Skills

One of the main promises of technology development is for it to be adopted by
people, organizations, societies, and governments -- incorporated into their
life, work stream, or processes. Often, this is socially beneficial as it
automates mundane tasks, frees up more time for other more important things, or
otherwise improves the lives of those who use the technology. However, these
beneficial results do not apply in every scenario and may not impact everyone
in a system the same way. Sometimes a technology is developed which produces
both benefits and inflicts some harm. These harms may come at a higher cost to
some people than others, raising the question: {\it how are benefits and harms
weighed when deciding if and how a socially consequential technology gets
developed?} The most natural way to answer this question, and in fact how
people first approach it, is to compare the new technology to what used to
exist. As such, in this work, I make comparative analyses between humans and
machines in three scenarios and seek to understand how sentiment about a
technology, performance of that technology, and the impacts of that technology
combine to influence how one decides to answer my main research question.

通过比较人类和机器在不同情境下的情感、表现和影响等方面，以了解技术的社会影响，权衡技术利弊如何决定技术是否应该投入使用。