{"title":"超越硬与软:开发电子商务软件工程师胜任力模型的混合方法","authors":"Shuai Chen , Yang Zhao","doi":"10.1016/j.infsof.2025.107836","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><div>The competency model for software engineers has emerged as a crucial tool for assessing and enhancing professional skills. However, the conventional binary classification of soft and hard skills fails to adequately capture the nuanced competency requirements across different industries, particularly in e-commerce.</div></div><div><h3>Objectives</h3><div>This study aims to develop a refined competency model specifically tailored to the e-commerce industry, identifying the key competencies essential for software engineers in this domain.</div></div><div><h3>Methods</h3><div>First, a competency framework for e-commerce software engineers was constructed based on a literature review, incorporating four dimensions: social, cognitive, professional, and meta-competencies. Subsequently, machine learning algorithms, topic modeling, and text clustering techniques were applied to job postings from China’s labor market to extract key competency factors. A questionnaire survey was then conducted among 58 software engineers to assess and rank the importance of these competencies.</div></div><div><h3>Results</h3><div>This study developed a competency model comprising four dimensions and 15 competency factors. The survey findings reveal several key insights: cognitive and functional competencies are perceived as the most critical for technical development. Moreover, the perceived importance of competencies varies significantly across different career stages. In the early career phase (1–3 years), cognitive and functional competencies are prioritized. As professionals advance (3–5 years), social competencies gain prominence. However, at the senior level, cognitive competencies once again become central.</div></div><div><h3>Conclusion</h3><div>These findings offer valuable insights for e-commerce companies in designing employee training programs and career development strategies. Additionally, educational institutions can refine their curricula to better align with the evolving competency demands of the industry.</div></div>","PeriodicalId":54983,"journal":{"name":"Information and Software Technology","volume":"187 ","pages":"Article 107836"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beyond hard vs. soft: A mixed-methods approach to developing a competency model for E-commerce software engineers\",\"authors\":\"Shuai Chen , Yang Zhao\",\"doi\":\"10.1016/j.infsof.2025.107836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><div>The competency model for software engineers has emerged as a crucial tool for assessing and enhancing professional skills. However, the conventional binary classification of soft and hard skills fails to adequately capture the nuanced competency requirements across different industries, particularly in e-commerce.</div></div><div><h3>Objectives</h3><div>This study aims to develop a refined competency model specifically tailored to the e-commerce industry, identifying the key competencies essential for software engineers in this domain.</div></div><div><h3>Methods</h3><div>First, a competency framework for e-commerce software engineers was constructed based on a literature review, incorporating four dimensions: social, cognitive, professional, and meta-competencies. Subsequently, machine learning algorithms, topic modeling, and text clustering techniques were applied to job postings from China’s labor market to extract key competency factors. A questionnaire survey was then conducted among 58 software engineers to assess and rank the importance of these competencies.</div></div><div><h3>Results</h3><div>This study developed a competency model comprising four dimensions and 15 competency factors. The survey findings reveal several key insights: cognitive and functional competencies are perceived as the most critical for technical development. Moreover, the perceived importance of competencies varies significantly across different career stages. In the early career phase (1–3 years), cognitive and functional competencies are prioritized. As professionals advance (3–5 years), social competencies gain prominence. However, at the senior level, cognitive competencies once again become central.</div></div><div><h3>Conclusion</h3><div>These findings offer valuable insights for e-commerce companies in designing employee training programs and career development strategies. Additionally, educational institutions can refine their curricula to better align with the evolving competency demands of the industry.</div></div>\",\"PeriodicalId\":54983,\"journal\":{\"name\":\"Information and Software Technology\",\"volume\":\"187 \",\"pages\":\"Article 107836\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information and Software Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950584925001752\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information and Software Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950584925001752","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Beyond hard vs. soft: A mixed-methods approach to developing a competency model for E-commerce software engineers
Context
The competency model for software engineers has emerged as a crucial tool for assessing and enhancing professional skills. However, the conventional binary classification of soft and hard skills fails to adequately capture the nuanced competency requirements across different industries, particularly in e-commerce.
Objectives
This study aims to develop a refined competency model specifically tailored to the e-commerce industry, identifying the key competencies essential for software engineers in this domain.
Methods
First, a competency framework for e-commerce software engineers was constructed based on a literature review, incorporating four dimensions: social, cognitive, professional, and meta-competencies. Subsequently, machine learning algorithms, topic modeling, and text clustering techniques were applied to job postings from China’s labor market to extract key competency factors. A questionnaire survey was then conducted among 58 software engineers to assess and rank the importance of these competencies.
Results
This study developed a competency model comprising four dimensions and 15 competency factors. The survey findings reveal several key insights: cognitive and functional competencies are perceived as the most critical for technical development. Moreover, the perceived importance of competencies varies significantly across different career stages. In the early career phase (1–3 years), cognitive and functional competencies are prioritized. As professionals advance (3–5 years), social competencies gain prominence. However, at the senior level, cognitive competencies once again become central.
Conclusion
These findings offer valuable insights for e-commerce companies in designing employee training programs and career development strategies. Additionally, educational institutions can refine their curricula to better align with the evolving competency demands of the industry.
期刊介绍:
Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include:
• Software management, quality and metrics,
• Software processes,
• Software architecture, modelling, specification, design and programming
• Functional and non-functional software requirements
• Software testing and verification & validation
• Empirical studies of all aspects of engineering and managing software development
Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information.
The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.