Frozen Food Consumer’s Purchase Intentions and Decisions Through E-Commerce in The Greater Jakarta Ragion

Sitohang, Maryanti; Suprehatin, Suprehatin; Adhi, Andriyono Kilat

doi:10.17358/jma.18.3.275

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…The next step is data cleaning to address the potential presence of noise and inconsistencies. The data cleaning includes removing incomplete or invalid data, handling missing values, adjusting data formats for consistency, and normalizing numeric data [30]. This stage is essential to ensure data quality before further analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, the quality of products available on ecommerce platforms directly influences customer satisfaction and loyalty [28]. Factors such as platform trustworthiness, perceived usefulness, and ease of use also shape consumers' purchase intentions [29] [30]. Additionally, the convenience offered by e-commerce platforms can enhance people's interest in purchasing [31].…”

Section: Introductionmentioning

confidence: 99%

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Purchasing Patterns Analysis in E-commerce: A Big Data-driven Approach and Methodological

Riwayat,

Susilawati,

Naqiah

2024

ijsecs

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This research aims to analyze purchasing patterns in e-commerce using a Big Data-based approach and data analysis methods. Leveraging advanced technology and analytical methodology, this research explores consumer behavior, market trends, and factors influencing purchasing decisions in e-commerce. Through collecting transaction data from leading e-commerce platforms and applying rigorous data analysis techniques, this research identifies significant patterns and provides valuable insights for e-commerce companies. This research shows that big data has great potential in understanding consumer behavior and market trends in e-commerce. In contrast, sophisticated data analysis methods are essential in interpreting the large and complex data generated by e-commerce. The findings of this research significantly contribute to the development of the e-commerce industry by helping companies improve their marketing strategies and business decision-making. However, this research also needs help, as it requires data analysis skills and privacy issues. To overcome these challenges, collaboration between researchers, e-commerce companies, and governments is needed to develop the necessary data analysis expertise and ensure that consumer data is managed securely and ethically. Thus, this research provides a more holistic view of consumer behavior and market dynamics in e-commerce, assisting companies and policymakers in addressing challenges and opportunities in an ever-evolving landscape.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Purchasing Patterns Analysis in E-commerce: A Big Data-driven Approach and Methodological

Riwayat,

Susilawati,

Naqiah

2024

ijsecs

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“…Research results showed that the social environment, Innovativeness significantly influences online consumption intentions (Reyvina & Tunjungsari, 2022;Rizki et al 2019) and risk negatively influences online consumption intentions (Putri et al 2023). Consumption intentions also have a significant influence on online purchasing behavior (Sitohang et al 2021).…”

Section: Managerial Implicationsmentioning

confidence: 96%

Customer Re-Use Model of Online Vegetables and Fruit Grocery Platform in Indonesia

Shalihati,

Jayawinangun,

Rahmatulloh

2023

jma

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The online customer satisfaction including re-use behaviour concept has been examined in the literature since the development of mobile and digital activity accelerated for the past two years. In order to determine sustainability of online fruit and vegetables grocery platform utilization in practice, not only understanding adoptions but also it is becoming crucial to have detailed understanding of its drivers continuation of re-using behaviour. Unified Theory of Acceptance and Use of Technology (UTAUT) widely used to observe adoptions of technology more specifically online grocery. In this research we will try to use UTAUT used to identify key driving factors of re-use behaviour. We run primary data collection by survey with probabilistic sampling techniques for existing users of top 2 online vegetables and fruit grocery and test the model using hierarchical multiple regression analysis. Sampling is not only conducted for the one that continues to use the platform but also switchers or stop using the services to gain complete understanding and point of view. Several key observations such as expectation, trust, risk, time, enjoyment and innovativeness will become important variables to extend the baseline. Detailed understanding of key driver using behaviour can be utilized as important business metrics to improve customer stickiness and provide personalized offering.

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“…Statista, (2022g) also found that 70% of the respondents surveyed stated that they ordered less food through FDA during the pandemic as they rather cook by themselves, with 55% stated that the declining use of the FDA was due to the economic impact. Such impact is related with risk perceived by consumer as they have to pay ease of use, have significant and positive relationship towards attitude (Lee et al 2017;Won et al 2017;Ijaz and Rhee, 2018;Kılıçalp and Özdoğan, 2019;Sitohang et al 2021). Perceived usefulness also has positive and significant relationship with intention (Won et al 2017;Preetha and Iswarya, 2019).…”

Section: Introductionmentioning

confidence: 96%

Factors Influencing Ready-To-Eat Meal Consumer’s Intention To Use Food Delivery Apps During The Covid-19 Pandemic

Putri¹,

Nurmalina²,

Suprehatin³

2023

jma

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Food delivery apps (FDA) are one of the most popular types of online marketing media, providing convenience for consumers to order ready-to-eat meals. The possibility of using and ordering food through FDA has also increased with the rise of Covid-19 cases as people practice social-distancing as a form of subjective norm. This study aims to analyze factors influencing consumers' intention to use FDA during the pandemic. The primary data from online survey of 327 greater Jakarta residents who previously have or have not used FDA was analyzed using structural equation modelling. Factors significantly related to intention of the theory of reasoned action (TRA), technology acceptance model (TAM), trustworthiness, and perceived risk integration were subjective norm, perceived risk, and attitude, while other variables with significant direct effects were: (1) subjective norm and perceived risk towards attitude and (2) perceived ease of use towards attitude, perceived usefulness, and trustworthiness. Attitude were found moderating the relationship between subjective norms, perceived ease of use, and perceived risk with intention. TRA as a constituent theory was found to be the best at describing purchasing intention through FDA. Managerial implications for third-party FDA and partner restaurants were formulated from these findings.

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Frozen Food Consumer’s Purchase Intentions and Decisions Through E-Commerce in The Greater Jakarta Ragion

Cited by 5 publications

References 17 publications

Purchasing Patterns Analysis in E-commerce: A Big Data-driven Approach and Methodological

Purchasing Patterns Analysis in E-commerce: A Big Data-driven Approach and Methodological

Customer Re-Use Model of Online Vegetables and Fruit Grocery Platform in Indonesia

Factors Influencing Ready-To-Eat Meal Consumer’s Intention To Use Food Delivery Apps During The Covid-19 Pandemic

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