Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model
The introduction of technology has caused an improvement in the recruiting sector, replacing old methods with more simplified and effective procedures. Recruiters can now access a wide range of technical developments by integrating digital platforms and tools, which helps them more successfully...
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| Format: | Article |
| Language: | English |
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Universitas Indonesia
2024-02-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/6689 |
| _version_ | 1797324217189924864 |
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| author | Amalia Suzianti Gusti Ayu Rifamutia Krishna Devi Safira Nurul Fathia |
| author_facet | Amalia Suzianti Gusti Ayu Rifamutia Krishna Devi Safira Nurul Fathia |
| author_sort | Amalia Suzianti |
| collection | DOAJ |
| description | The introduction of technology has caused an improvement in
the recruiting sector, replacing old methods with more simplified and effective
procedures. Recruiters can now access a wide range of technical developments by
integrating digital platforms and tools, which helps them more successfully
attract and hire top talent. This study employs the Unified Theory of
Acceptance and Use of Technology (UTAUT) model and Partial Least Squares
Structural Equation Modeling (PLS-SEM) to examine blue-collar workers' intentions
to use an e-recruiting platform. The study, which included 212 respondents,
provided insight into the variables of performance expectation, effort
expectation, social impact, and facilitating conditions that affect people's
propensity to use the job-seeking platform. The analysis of the data showed
that effort expectations and social influence had an impact on behavioral
intention, and behavioral intention had an impact on usage behavior. A thorough
strategy was developed through data analysis, utilizing the Strengths,
Weaknesses, Opportunities, Threats (SWOT) matrix and the Reach, Impact,
Confidence and Effort (RICE) rating system. The
conclusions and prioritized methods provided by the researchers serve as
valuable tools for those engaged in the recruitment sector. This information
empowers them to leverage technology effectively and make informed decisions to
enhance the acceptance and utilization of e-recruiting platforms among
blue-collar employees. |
| first_indexed | 2024-03-08T05:46:58Z |
| format | Article |
| id | doaj.art-ba327d7708d648b69aba1c721f5e2dd3 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-03-08T05:46:58Z |
| publishDate | 2024-02-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-ba327d7708d648b69aba1c721f5e2dd32024-02-05T08:58:50ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002024-02-0115244245410.14716/ijtech.v15i2.66896689Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology ModelAmalia Suzianti0Gusti Ayu Rifamutia Krishna Devi1Safira Nurul Fathia2Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, 16424, IndonesiaDepartment of Industrial Engineering and Management, KTH Royal Institute of Technology, Kungliga Tekniska Högskolan, SE-100 44, Stockholm, SwedenThe introduction of technology has caused an improvement in the recruiting sector, replacing old methods with more simplified and effective procedures. Recruiters can now access a wide range of technical developments by integrating digital platforms and tools, which helps them more successfully attract and hire top talent. This study employs the Unified Theory of Acceptance and Use of Technology (UTAUT) model and Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine blue-collar workers' intentions to use an e-recruiting platform. The study, which included 212 respondents, provided insight into the variables of performance expectation, effort expectation, social impact, and facilitating conditions that affect people's propensity to use the job-seeking platform. The analysis of the data showed that effort expectations and social influence had an impact on behavioral intention, and behavioral intention had an impact on usage behavior. A thorough strategy was developed through data analysis, utilizing the Strengths, Weaknesses, Opportunities, Threats (SWOT) matrix and the Reach, Impact, Confidence and Effort (RICE) rating system. The conclusions and prioritized methods provided by the researchers serve as valuable tools for those engaged in the recruitment sector. This information empowers them to leverage technology effectively and make informed decisions to enhance the acceptance and utilization of e-recruiting platforms among blue-collar employees.https://ijtech.eng.ui.ac.id/article/view/6689blue-collar workerse-recruitmentpls-semtechnology adoptionutaut model |
| spellingShingle | Amalia Suzianti Gusti Ayu Rifamutia Krishna Devi Safira Nurul Fathia Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model International Journal of Technology blue-collar workers e-recruitment pls-sem technology adoption utaut model |
| title | Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model |
| title_full | Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model |
| title_fullStr | Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model |
| title_full_unstemmed | Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model |
| title_short | Analysis of Blue-Collar Workers’ Intention to Use a Job-Seeking Application Feature using Unified Theory of Acceptance and Use of Technology Model |
| title_sort | analysis of blue collar workers intention to use a job seeking application feature using unified theory of acceptance and use of technology model |
| topic | blue-collar workers e-recruitment pls-sem technology adoption utaut model |
| url | https://ijtech.eng.ui.ac.id/article/view/6689 |
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