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All Journal International Journal of Industrial Engineering and Engineering Management
Daryanto, Y.
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Industrial & Manufacturing Engineering

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Applying User Interface Analytics to Identify Online Shop Performance Factors Bellanov, A.; Suharyanti, Y.; Daryanto, Y.
International Journal of Industrial Engineering and Engineering Management Vol 2, No 2 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.165 KB) | DOI: 10.24002/ijieem.v2i2.4797

Abstract

The massive use of information systems and digital applications drives the growth of e-commerce, including online shops in marketplaces. However, some of the online shops are not successful. To improve their performance, the success factors of the online shops should be recognized. This study develops a model of online shop success factors. Unlike the other researches that use customer preference data from surveys, this study uses user interface analytics to develop the model. A marketplace operated in Indonesia was selected as the case study. The study begins with a scraping process of the data available at online shops' user interfaces in the marketplace. After data cleaning, outliers handling, and data clustering by product category, a series of multiple regression analyses are performed to get the model estimates. Eight variables are defined to develop the model, i.e., product price, percentage of responded chat, shop joining time in the marketplace, number of product types, number of raters, shop rating, shop reputation, and number of followers. The results of the multiple regression process show that the model estimate is specific for every product category. The final model can be used as a reference by the online shop sellers to develop their strategy to improve their shop performance. Moreover, the results also prove that user interface analytics is effective in estimating the performance factors of online shops in a marketplace.
An Inventory Model Considering All Unit Discount and Carbon Emissions Kristiyani, I.M.; Daryanto, Y.
International Journal of Industrial Engineering and Engineering Management Vol 1, No 2 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.536 KB) | DOI: 10.24002/ijieem.v1i2.3410

Abstract

Consumer satisfaction is an important factor in the ongoing business process. Companies must be able to meet consumer demands and considers customers’ concerns on price. In a supplier and customer relationship, a given discount will affect the order size. Besides, in the current developing industry, environmental factors must be considered without disturbing the business. Recently, researchers and practitioners develop environmentally-friendly industries so that the environment will be well managed and not polluted. For example, carbon emissions can be managed by optimizing the production operation and product distribution. This paper presents a study on the relationship between discount on the economic order quantity model and the total carbon emissions. This research develops a procurement model by considering an all-unit discount system and carbon emission tax. The aim is to determine the optimal order that minimizes the total cost.
An Inventory Model Considering All Unit Discount and Carbon Emissions Kristiyani, I.M.; Daryanto, Y.
International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 2 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v1i2.3410

Abstract

Consumer satisfaction is an important factor in the ongoing business process. Companies must be able to meet consumer demands and considers customers’ concerns on price. In a supplier and customer relationship, a given discount will affect the order size. Besides, in the current developing industry, environmental factors must be considered without disturbing the business. Recently, researchers and practitioners develop environmentally-friendly industries so that the environment will be well managed and not polluted. For example, carbon emissions can be managed by optimizing the production operation and product distribution. This paper presents a study on the relationship between discount on the economic order quantity model and the total carbon emissions. This research develops a procurement model by considering an all-unit discount system and carbon emission tax. The aim is to determine the optimal order that minimizes the total cost.
Applying User Interface Analytics to Identify Online Shop Performance Factors Bellanov, A.; Suharyanti, Y.; Daryanto, Y.
International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v2i2.4797

Abstract

The massive use of information systems and digital applications drives the growth of e-commerce, including online shops in marketplaces. However, some of the online shops are not successful. To improve their performance, the success factors of the online shops should be recognized. This study develops a model of online shop success factors. Unlike the other researches that use customer preference data from surveys, this study uses user interface analytics to develop the model. A marketplace operated in Indonesia was selected as the case study. The study begins with a scraping process of the data available at online shops' user interfaces in the marketplace. After data cleaning, outliers handling, and data clustering by product category, a series of multiple regression analyses are performed to get the model estimates. Eight variables are defined to develop the model, i.e., product price, percentage of responded chat, shop joining time in the marketplace, number of product types, number of raters, shop rating, shop reputation, and number of followers. The results of the multiple regression process show that the model estimate is specific for every product category. The final model can be used as a reference by the online shop sellers to develop their strategy to improve their shop performance. Moreover, the results also prove that user interface analytics is effective in estimating the performance factors of online shops in a marketplace.
Co-Authors Bellanov, A. Kristiyani, I.M. Suharyanti, Y.