Suharyanti, Y.
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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.
E-Waste: Current Research and Future Perspective on Developing Countries Halim, L.; Suharyanti, 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 (861.959 KB) | DOI: 10.24002/ijieem.v1i2.3214

Abstract

Increase of population, purchasing power, and development of technology give consequence to Waste of Electronic and Electrical Equipment (WEEE) or e-waste generation. Increasing rate of e-waste production and its hazardous content raise the concern regarding e-waste. This paper aims to describe the research development on e-waste in various countries and propose the perspective of future research. The study based on literature survey in open access journals using ‘e-waste’ as the keyword. Article selection was done by considering the reputability of the source and cited frequency. From the articles reviewed, China contributed to most of the researches. Some of most studied topic namely e-waste management, e-waste impact to human health and environment and current status of e-waste treatment in specific country. Brief explanation on each topic and insight on future research are also provided. 
Does Customer Satisfaction Really Lead Company to Financial Success? A Review and Meta-analysis Suharyanti, Y.; Dewa, D.M.R.T.
International Journal of Industrial Engineering and Engineering Management Vol 1, No 1 (2019)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.699 KB) | DOI: 10.24002/ijieem.v1i1.2295

Abstract

All the theories about market and marketing research, customer relationship management, and business in general, believe that customer satisfaction is one of the main factors for company financial success. However, a survey on 64 studies shows a wide variation of the correlation between customer satisfaction and financial performance. The correlation coefficients are varied from -0.256 to 0.899. This study applies a meta-analysis on those 64 studies’ findings to find the true correlation between customer satisfaction and financial performance. The analysis clusters the 64 studies based on year of research, business category observed, and geographical area of research. The result shows that the correlation between customer satisfaction and financial performance is relatively high (0.525) before 1990, becomes confusing (not-significantly correlated) in 1991-2000, increases (0.626) in 2001-2010, and decreases (0.595) after 2011. Based on business category, the two variables are not significantly correlated both in manufacturing industries and in service industries. The two variables are significantly correlated according to the studies conducted in Europe region (0.566) and Asia-Africa (0.657), but could not to be proven significantly correlated in USA region. The insights from the meta-analysis findings are: (1) the customer satisfaction role is change by time as well as the changes of industry environment, so that research on customer satisfaction will always be beneficial; (2) in individualist society like USA, further researches on customer behavior and culture are required to find more clear explanation about the role of customer satisfaction as well as other financial success factors, on the company performance.Â