Job application intention and search behavior of crowd workers

Authors

  • Zuria Saad Universiti Teknologi MARA Kampus Jengka, Pahang, Malaysia
  • Muhammad Ashraf Fauzi Faculty of Industrial Management, University Malaysia Pahang, Pahang, Malaysia
  • Azim Azuan Osman Faculty of Industrial Management, Universiti Malaysia Perlis, Perlis, Malaysia
  • Mohd Safwan Ramli Universiti Teknologi MARA Kampus Jengka, Pahang, Malaysia

DOI:

https://doi.org/10.24191/jeeir.v12i2.861

Abstract

This study aims to explore the job application intentions and search behaviors of crowd workers on online crowdsourcing platforms through the lens of Signaling Theory. The research involved 66 students from the Bachelor of Office System Management program at Universiti Teknologi MARA, Pahang, who participated as part-time crowd workers on various online platforms as part of the study requirements. The findings reveal significant positive relationships between job characteristics, person-job fit (as the signaler), and job-related factors influencing crowd workers' intentions and search behaviors (as the receivers), in alignment with Signaling Theory. These results provide a deeper understanding of crowd worker behavior, offering valuable insights for crowdsourcing platforms and job providers to enhance platform features and improve terms and conditions, ultimately making the platforms more attractive and efficient for both workers and employers.

Author Biographies

Zuria Saad, Universiti Teknologi MARA Kampus Jengka, Pahang, Malaysia

Zuria Akmal Saad (0000-0002-5884-2820 ORCID ID) is a Senior Lecturer at Universiti Teknologi MARA, Pahang Branch. She is currently pursuing a Ph.D. in Business Management at Universiti Malaysia Pahang Al-Sultan Abdullah. Zuria specializes in organizational behavior, business process reengineering, and the digital workforce. Her research interests encompass exploring innovative approaches to enhance organizational efficiency and adaptability.  She can be contacted at zuria@uitm.edu.my

Muhammad Ashraf Fauzi, Faculty of Industrial Management, University Malaysia Pahang, Pahang, Malaysia

Muhammad Ashraf Fauzi (ORCID ID: 0000-0003-2137-4602) is an Associate Professor at the Faculty of Industrial Management, University Malaysia Pahang. He holds a Ph.D. from the Faculty of Management at Multimedia University. Ashraf earned his bachelor’s degree in manufacturing engineering from the International Islamic University Malaysia and later completed a master’s degree in manufacturing system engineering from Universiti Putra Malaysia.  His research interests encompass knowledge management, sustainable building, quality management, project management, and sustainable energy. He can be reached via email at ashrafauzi@umpsa.edu.my.

Azim Azuan Osman, Faculty of Industrial Management, Universiti Malaysia Perlis, Perlis, Malaysia

Azim Azuan (ORCID ID: 0000-0002-9078-3154) holds a bachelor’s degree in engineering (Manufacturing) and an MBA in Engineering Management from University Malaysia Perlis (UniMAP). He earned his Ph.D. in Operations Management from Universiti Utara Malaysia (UUM). Previously a research assistant at UUM, Azim provides freelance research consultation. Actively involved in Lean Management, Quality Management, and Change Management, he has led 10+ research grants and coached over 100 postgraduate students. Azim is recognized for conducting workshops on data analysis using SmartPLS and SPSS, showcasing his dedication to impactful research and academic development.  He can be reached via email at azimazuan@umpsa.edu.my

Mohd Safwan Ramli, Universiti Teknologi MARA Kampus Jengka, Pahang, Malaysia

Mohd Safwan Ramli (ORCID ID: 0000-0002-3065-8300) holds a Doctor of Philosophy in Business and Management from Universiti Teknologi MARA, Shah Alam. Currently serving as the head of the quality department at Universiti Teknologi MARA, Pahang Branch, he is actively engaged in conferences and paper production, with a focus on innovation and creativity. He can be contacted via email at safwanramli@uitm.edu.my.

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Published

2024-06-28

How to Cite

Saad, Z., Fauzi, M. A., Osman, A. A., & Ramli, M. S. (2024). Job application intention and search behavior of crowd workers . Journal of Emerging Economies and Islamic Research, 12(2), 861. https://doi.org/10.24191/jeeir.v12i2.861

Issue

Vol. 12 No. 2 (2024): June 2024 Issue

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Articles

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Copyright (c) 2024 Zuria Saad, Muhammad Ashraf Fauzi, Azim Azuan Osman, Mohd Safwan Ramli

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