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Journal : International Journal of Industrial Engineering and Engineering Management

Utilizing Online Reviews for Human Resource Development in the Retail Industry Using Aspect-based Sentiment Analysis Pramudika, Gregorios Ferrari; Astanti, Ririn Diar; Purnama, Ignatius Luddy Indra
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9092

Abstract

The growth in the retail industry means that the retail industry must have a competitive advantage to compete. One source of competitive advantage is customer experience. One factor that has a positive influence on customer experience is the service provided by frontline employees. Nowadays, customers can easily share their experiences and information in online reviews. Therefore, a good understanding of online reviews is necessary to maintain customer satisfaction. This paper proposes a new method for obtaining information from online reviews available on online review platforms such as Google Maps. Reviews on the website will be scraped and translated into English using the large language model (LLM). The translated reviews will be translated to obtain aspects, sentiments, and opinions using an aspect-based sentiment analysis (ABSA) model that has been previously drilled using a dataset in English. The findings are visualized into Pareto diagrams and word cloud to identify aspects related to human resources that most influence the negative or positive ratings given by customers through online reviews.
Literature Review of Job Description: Meta-analysis Switasarra, Adelia Veneska; Astanti, Ririn Diar
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4923

Abstract

A job description document is a formal document that exists in the organization that usually has a formal social structure. Whether it is a small-scale organization to a large-scale organization, every formal organization usually has this document. The study presented in this paper tries to present the summary of the research related to the job description document. In the previous research, there is less attention has been given to explore the role of a job description in the various aspects of decision making in the company. Therefore, the importance and the role of the job description to the company, especially in supporting decision-making in the company, is explored in this study. In this study, we reviewed 43 papers published between 2001 and 2021. Several aspects related to job description such as 1) Definition of the job description; 2) Development of job descriptions; and 3) Benefits of job descriptions based on four reviewed papers are explained. The selected articles are taken from the article database engine: Emerald Insight, Semantic Scholar, Proquest, Science Direct, Elsevier, Springer Link with the keyword "Job Description". The intention of this review is to address the following questions related to (i) in what aspect the research related to job descriptions are conducted; (ii) what the contribution of job descriptions document to the decision-making in the company.
Literature Review of Job Description: Meta-analysis Switasarra, Adelia Veneska; Astanti, Ririn Diar
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4923

Abstract

A job description document is a formal document that exists in the organization that usually has a formal social structure. Whether it is a small-scale organization to a large-scale organization, every formal organization usually has this document. The study presented in this paper tries to present the summary of the research related to the job description document. In the previous research, there is less attention has been given to explore the role of a job description in the various aspects of decision making in the company. Therefore, the importance and the role of the job description to the company, especially in supporting decision-making in the company, is explored in this study. In this study, we reviewed 43 papers published between 2001 and 2021. Several aspects related to job description such as 1) Definition of the job description; 2) Development of job descriptions; and 3) Benefits of job descriptions based on four reviewed papers are explained. The selected articles are taken from the article database engine: Emerald Insight, Semantic Scholar, Proquest, Science Direct, Elsevier, Springer Link with the keyword "Job Description". The intention of this review is to address the following questions related to (i) in what aspect the research related to job descriptions are conducted; (ii) what the contribution of job descriptions document to the decision-making in the company.
Utilizing Online Reviews for Human Resource Development in the Retail Industry Using Aspect-based Sentiment Analysis Pramudika, Gregorios Ferrari; Astanti, Ririn Diar; Purnama, Ignatius Luddy Indra
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9092

Abstract

The growth in the retail industry means that the retail industry must have a competitive advantage to compete. One source of competitive advantage is customer experience. One factor that has a positive influence on customer experience is the service provided by frontline employees. Nowadays, customers can easily share their experiences and information in online reviews. Therefore, a good understanding of online reviews is necessary to maintain customer satisfaction. This paper proposes a new method for obtaining information from online reviews available on online review platforms such as Google Maps. Reviews on the website will be scraped and translated into English using the large language model (LLM). The translated reviews will be translated to obtain aspects, sentiments, and opinions using an aspect-based sentiment analysis (ABSA) model that has been previously drilled using a dataset in English. The findings are visualized into Pareto diagrams and word cloud to identify aspects related to human resources that most influence the negative or positive ratings given by customers through online reviews.