探究文化价值观在采用大语言模型进行软件工程中的作用
Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering
AI总结：
基于UTAUT2与Hofstede维度，对188名软件工程师进行结构方程建模，发现习惯和绩效预期驱动LLM采用，文化价值观的调节作用不显著。
摘要：
作为一种社会技术活动，软件开发涉及人与技术的紧密互联。将大语言模型（LLM）整合到这一过程中，体现了软件开发的社会技术本质。尽管LLM影响开发过程，但软件开发从根本上仍以人为中心，因此有必要研究这种采用中的人为因素。因此，本研究探讨影响软件开发中LLM采用的因素，重点关注专业人员文化价值观的作用。在技术接受与使用统一理论（UTAUT2）和Hofstede文化维度的指导下，我们假设文化价值观会调节UTAUT2框架内的关系。利用偏最小二乘结构方程建模以及来自188名软件工程师的数据，我们发现习惯和绩效预期是LLM采用的主要驱动因素，而文化价值观并未显著调节这一过程。这些发现表明，通过强调LLM如何提升绩效和效率，组织可以鼓励其使用，而不论文化差异如何。实际措施包括提供培训项目以展示LLM的益处，创造支持性环境以促进常规使用，以及持续跟踪和分享使用LLM带来的绩效改进。
英文摘要：
As a socio-technical activity, software development involves the close interconnection of people and technology. The integration of Large Language Models (LLMs) into this process exemplifies the socio-technical nature of software development. Although LLMs influence the development process, software development remains fundamentally human-centric, necessitating an investigation of the human factors in this adoption. Thus, with this study we explore the factors influencing the adoption of LLMs in software development, focusing on the role of professionals' cultural values. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT2) and Hofstede's cultural dimensions, we hypothesized that cultural values moderate the relationships within the UTAUT2 framework. Using Partial Least Squares-Structural Equation Modelling and data from 188 software engineers, we found that habit and performance expectancy are the primary drivers of LLM adoption, while cultural values do not significantly moderate this process. These findings suggest that, by highlighting how LLMs can boost performance and efficiency, organizations can encourage their use, no matter the cultural differences. Practical steps include offering training programs to demonstrate LLM benefits, creating a supportive environment for regular use, and continuously tracking and sharing performance improvements from using LLMs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
