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Growing Science » Authors » Lies Sulistyowati

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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Effect of disaster events on regional food security spatially: A geographically weighted regression model Pages 1625-1634 Right click to download the paper Download PDF

Authors: Trisna Insan Noor, Lies Sulistyowati, Eka Purna Yudha, Mohamad Arief Setiawan, Muthiah Syakirotin, Samuel Lantip Wicaksono, Tennisya Febriyanti Suardi

DOI: 10.5267/j.ijdns.2024.3.004

Keywords: Agriculture sector, Food security, Natural disasters, Geographically Weighted Regression (GWR)

Abstract:
Natural disasters are one of the events that threaten food security in every region in Indonesia. Ciamis District is one of Indonesia's areas prone to natural disasters. One of the impacts of a disaster is on the agricultural sector because it will determine food security in the area and can affect the socio-economic community. This study aims to analyze the Geographically Weighted Regression (GWR) Model of the Effect of Disaster Events on Food Security. This study used quantitative methods, and data sources were obtained through secondary data searches. Data were processed using a Geographically Weighted Regression (GWR) analysis tool through a quantitative descriptive analysis approach. The results showed that the natural disasters directly or indirectly impacted food availability and security in Ciamis District. Natural disasters still occur even though food availability, affordability, and utilization are quite good. There are other factors, namely disasters, that come suddenly and cannot be predicted, thereby affecting the food security of a region. Efforts are needed to create togetherness in society to anticipate and respond to disaster events. In addition, it is expected that each individual can take the necessary actions to solve problems independently.
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Journal: IJDS | Year: 2024 | Volume: 8 | Issue: 3 | Views: 1044 | Reviews: 0

 
2.

Dominant factors influencing consumer satisfaction with the online purchase decision process through social commerce: A study of organic black rice in Indonesia Pages 833-846 Right click to download the paper Download PDF

Authors: Kuswarini Kusno, Yosini Deliana, Lies Sulistyowati, Rita Komaladewi, Dini Rochdiani, Lucyana Trimo

DOI: 10.5267/j.ijdns.2023.1.005

Keywords: Online consumer behavior, Satisfaction with online purchase decision process, Social commerce, Online marketing, Organic black rice

Abstract:
The rapid increase in social media users in Indonesia has caused organic black rice (OBR) to be traded online via social commerce (s-commerce). OBR is an environmentally friendly functional food that meets the requirements for sustainable agricultural products. Unfortunately, in Indonesia the demand is still low, so some producers are reluctant to continue the OBR business. Therefore, it is important to study consumer satisfaction. Previous studies have primarily focused on satisfaction with choices and results of the decision process, not satisfaction with the decision process. Satisfaction in the perspective of the decision process has not been widely studied. This paper aims to identify the dominant factors that influence satisfaction with the online OBR purchase decision process via s-commerce. The research design is quantitative with a survey technique of 200 online consumers drawn by stratified random and convenience sampling. Data analysis using Exploratory Factor Analysis and Path Analysis. The results showed that the dominant factors were security in purchasing decisions, Instagram and other social media, friends, satisfaction with the results, Internet, references of friends and family as well as consideration of product taste and aroma, attractiveness, and disease treatment. These eight dominant factors can be used as important considerations in online OBR business through s-commerce.
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Journal: IJDS | Year: 2023 | Volume: 7 | Issue: 2 | Views: 1535 | Reviews: 0

 
3.

Determinant factors of online purchase decision process via social commerce: An empirical study of organic black rice in Indonesia Pages 1065-1076 Right click to download the paper Download PDF

Authors: Kuswarini Kusno, Yosini Deliana, Lies Sulistyowati, Yus Nugraha

DOI: 10.5267/j.ijdns.2022.8.002

Keywords: Social commerce conceptual model, Online purchase decision process via social commerce, Underlying factors, Textual analysis, Exploratory factor analysis, Organic black rice

Abstract:
Organic black rice (OBR) is a healthy food that is environmentally friendly which is better than organic white rice and organic brown rice. However, the demand for OBR in Indonesia is still low. In addition, some people consider OBR as black sticky rice. Meanwhile, black rice has great potential to be developed in Indonesia because it has local varieties that are still rare, have a high selling value, and are suitable for cultivation based on the analysis of their farming. The rapid development of social media users in Indonesia causes organic black rice to be traded online via social commerce (s-commerce). There has been a lot of research on social commerce, but there is still very few social commerce research offering framework design. The purpose of this research is to develop a conceptual model (framework) of the online OBR purchasing decision process via s-commerce, and to identify the factors underlying consumer assessment of the process. As a result, the conceptual model shows consumers recognize the need for OBR through free platforms, namely Search Engine Optimization (SEO), Instagram, blogs, article sites, through friends and through family. The factors underlying consumers' assessment of the online OBR purchasing decision process were security in purchasing decisions, Internet, friends, satisfaction with the results, Instagram and other social media, and family factor. These factors can be used as important considerations in online OBR marketing via s-commerce.
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Journal: IJDS | Year: 2022 | Volume: 6 | Issue: 4 | Views: 1301 | Reviews: 0

 

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