Managing Knowledge at the Time of Artificial Intelligence: An Explorative Study with Knowledge Workers

A. Manuti, Dalila Monachino
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Abstract

In the evolutionary context of Industry 4.0, where machine learning and machine to machine technology are powerful tools for the maintenance and replicability of knowledge, the implementation of hybrid systems based on the use of Artificial Intelligence (AI) represents the key to organizational innovation and to the capitalization of knowledge. At the same time, the benefits of digital transformation for individuals and teams are often not so clear - and uncertainty surrounding the future often results in fear in those being impacted. Fear of changes to their job, fear of a job role change, job losses, being faced with learning new skills, new technology or new ways of working. Therefore, to secure the transition to the digitization organizations need to carefully support their human resources and to provide them with the reasons why they need to commit to change. In this perspective, the study aimed to investigate how high-qualified knowledge workers cope with this new situation. Yet, participants were a group of project managers, employed in some knowledge-based organizations, in which AI and digitalization systems are going to be introduced to improve replicability, circulation and storage of knowledge. The choice of this peculiar target of participants was guided by the acknowledgement of their important role within the organization, being project managers generally considered as agents of change. In view of the above, the main goal was to collect project managers’ expectations and fears about the upcoming integration of secularized company flows with performing process automation strategies. In-depth individual interviews were conducted and diatextual analysis was used to approach the discursive data collected. Results showed interesting insights both in terms of organizational management implications as well as of future research development. Participants showed clear awareness about the need to “go digital” to improve organizational performance and to stay competitive. However, they underlined the importance of parallel invest on human capital, improving crucial soft skills such as: openness to change, flexibility and the ability to work in a team, that could concretely support digital changes in procedures and work processes.   
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人工智能时代的知识管理:知识型员工的探索性研究
在工业4.0的进化背景下,机器学习和机器对机器技术是维护和复制知识的强大工具,基于人工智能的混合系统的实现是组织创新和知识资本化的关键。与此同时,数字化转型对个人和团队的好处往往并不那么明确,而围绕未来的不确定性往往会导致那些受到影响的人感到恐惧。害怕工作变化,害怕工作角色变化,害怕失业,面临学习新技能、新技术或新工作方式。因此,为了确保向数字化转型,组织需要谨慎地支持其人力资源,并为他们提供需要致力于变革的理由。从这个角度来看,本研究旨在调查高素质的知识工作者如何应对这种新情况。然而,参与者是一群项目经理,受雇于一些知识型组织,这些组织将引入人工智能和数字化系统,以提高知识的可复制性、流通和存储。参与者这一特殊目标的选择是以承认他们在组织中的重要作用为指导的,他们是通常被视为变革推动者的项目经理。鉴于上述情况,主要目标是收集项目经理对即将将世俗化的公司流程与执行过程自动化战略整合的期望和担忧。进行了深入的个人访谈,并使用中介语篇分析来处理收集到的话语数据。研究结果显示,无论是在组织管理含义方面,还是在未来的研究发展方面,都有有趣的见解。参与者清楚地意识到需要“数字化”以提高组织绩效并保持竞争力。然而,他们强调了人力资本平行投资的重要性,提高了关键的软技能,如:对变革的开放性、灵活性和团队合作的能力,这可以具体支持程序和工作流程的数字化变革。
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来源期刊
East European Journal of Psycholinguistics
East European Journal of Psycholinguistics Arts and Humanities-Language and Linguistics
CiteScore
0.90
自引率
0.00%
发文量
20
审稿时长
15 weeks
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