The Determinant Factors of E-Commerce Purchase Decision in Jakarta and Tangerang

Gunawan, Arby Virto; Linawati, Linawati; Pranandito, Dimas; Kartono, Rano

doi:10.21512/bbr.v10i1.5379

Cited by 11 publications

(15 citation statements)

References 34 publications

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“…In addition, it is also supported by the results of research conducted by (Kusno, Fadli, Karyani, 2019), (Mu LIANI, 2016), (Asrizal Efendy Nasution, 2019) and (Lestari, Winarno, 2017); (Ni Kadek Devi Aprillia Agustini, 2017), (Asrizal Efendy Nasution, 2019), (Wardoyo & Andini, 2017); (Wahono, 2020), (Wardoyo & Andini, 2017), (Gunawan, Linawati, Pranandito, 2019), and (Mu LIANI, 2016); and (Evelyn Wijaya, 2019)…”

Section: New Variable Group Analysis Resultsmentioning

confidence: 56%

Factors affecting online coffee purchases in the Covid-19 pandemic era: consumer case study at Jotey Coffee Shop

Karima

Mulia

2021

RSD

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Research in journal aim for analyze the factors that influence the purchase of coffee online in the era of the Covid 19 pandemic at the Jotey Coffee Shop. This research uses methodde quantitative. The population in this study are online buyers, especially Jotey coffee at the Jotey Coffee Shop, East Bekasi with a sample size of240 consumers Kedai Jotey, where the sample uses the Hair method. Test the hypothesis proposed in this study done with tool test analysis regression and hypothesis partial and simultaneous by using software Smartpls 3.2.9. Results analysis show that: 1) Communication a positive and significant effect on online coffee purchasing decisions, 2) Process has a positive and significant effect on online coffee purchasing decisions, 3) Price has a negative and significant effect on online coffee purchasing decisions, 4) Product has a positive and significant effect on online purchasing decisions contemporary coffee, 5) Character has a positive and significant effect on online purchasing decisions for contemporary coffee, and 6) Risk does not have a positive and significant effect on online purchasing decisions for contemporary coffee at the Jotey Coffee Shop.

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Section: New Variable Group Analysis Resultsmentioning

confidence: 56%

Factors affecting online coffee purchases in the Covid-19 pandemic era: consumer case study at Jotey Coffee Shop

Karima

Mulia

2021

RSD

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“…Third, Indonesia's populace is young and tech-savvy. [2]. There are 175.4 million active Internet users in January 2020 [3].…”

Section: )mentioning

confidence: 99%

“…e-Commerce marketplace in Indonesia are commonly act as mediator. Marketplace platform act as bridge between customer and seller, they obtained data generated by all its participant [2]. Author [3] formulate e-commerce as integrated platform from upstream supplier (individual industry, cooperative, and production) into end customer.…”

Section: Introductionmentioning

confidence: 99%

Electronic Commerce Product Recommendation using Enhanced Conjoint Analysis

Osmond¹,

Hidayat²,

Supangkat³

2021

IJACSA

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While finding any product, there are many identical products sold in the marketplace, so buyers usually compare the items according to the desired preferences, for example, price, seller reputation, product reviews, and shipping cost. From each preference, buyers count subjectively to make a final decision on which product is should be bought. With hundreds of thousands of products to be compared, the buyer may not get the product that meets his preferences. To that end, we proposed the Enhanced Conjoint Analysis method. Conjoint Analysis is a common method to draw marketing strategy from a product or analyze important factors of a product. From its feature, this method also can be used to analyze important factors from a product in the marketplace based on price. We convert importance factor percentage as a coefficient to calculate weight from every attributes and summarize it. To evaluate this method, we compared the ECA method to another prediction algorithm: generalized linear model (GLM), decision tree (DT), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). Our experimental results, ECA running time is 6.146s, GLM (5.537s), DT (1s), RF (10,119s), GBT (45.881s), and SVM (11.583s). With this result, our proposed method can be used to create recommendations besides the neural network or machine learning approach.

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“…Many done studies exist to investigate the reasons behind the decision of customers to buy goods online either in Indonesia (Rahayu, Zuhriyah, & Bonita, 2015;Widiyanto & Prasilowati, 2015;Widodo & Qurniawati, 2016;Wardoyo & Andini, 2017;Ashari & Widayanto, 2018;Gunawan, Linawati, Pranandito, & Kartono, 2019) or outside Indonesia; for example, Lin & Shih (2012), Khilji & Khan (2016), Al-Dmour, Hammdan, Al-Dmour, Alrowwad, & Khwaldeh (2017), Das & Panigrahi (2017), Bhatti (2018), Oghazi, Karlssonb, Hellströmb, & Hjortb (2018, Rehman, Bhatti, Mohamed, & Ayoup (2019).…”

Section: Introduction *mentioning

confidence: 99%

“…Based on these previous studies, at least three determinants get attempted to investigate, such as trust (Wardoyo & Andini, 2017;Ashari & Widayanto, 2018;Oghazi et al, 2018;Gunawan et al, 2019;Rehman et al, 2019;), lifestyle (Lin & Shih, 2012;Rahayu et al, 2015;Wardoyo & Andini, 2017;Al-Dmour et al, 2017;Das & Panigrahi, 2017) and attitude (Widiyanto & Prasilowati, 2015;Widodo & Qurniawati, 2016;Khilji & Khan, 2016;Das & Panigrahi, 2017;Ashari & Widayanto, 2018;Bhatti, 2018). Unfortunately, some evidence is still inconsistent, as exhibited below: a) by investigating the effect of trust on the online buying decision, Ashari & Widayanto (2018), Oghazi et al (2018), andRehman et al (2019) display positive.…”

Section: Introduction *mentioning

confidence: 99%

The Effect of Customer Trust, Lifestyle, and Attitude on the Online Buying Decision

Saparso

2022

Quant. Econ. Manag. Stud.

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The internet is essential for business. It is because all people apply this connection to do their online activities, for example, buying. Therefore, many online platforms appear to facilitate it. The research about the decision to buy online and its determinants is numerous. In this study, three determinants want to get investigated: trust, lifestyle, and attitude. By employing the undergraduate management students in Universitas Kristen Krida Wacana as population and stratified random sampling as the method to take the samples, this study has the goal to examine these three effects on the decision to purchase online. Before testing the effect of trust, lifestyle, and attitude on the online buying decision, the data collected from the online survey get validated first by the confirmatory factor analysis. Then, the reliability test by the Cronbach Alpha analysis becomes the following step. Furthermore, after examining the statistical hypotheses by the structural equation based on variance, this study reveals that trust does not affect the online purchasing decision. However, lifestyle and attitude become the determinant with a positive sign. It implies that the platform has to be able to provide a safe transaction to raise the trust of the customer to buy online, the sellers have to assure the fits of products offered and delivery time promised.

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The Determinant Factors of E-Commerce Purchase Decision in Jakarta and Tangerang

Cited by 11 publications

References 34 publications

Factors affecting online coffee purchases in the Covid-19 pandemic era: consumer case study at Jotey Coffee Shop

Factors affecting online coffee purchases in the Covid-19 pandemic era: consumer case study at Jotey Coffee Shop

Electronic Commerce Product Recommendation using Enhanced Conjoint Analysis

The Effect of Customer Trust, Lifestyle, and Attitude on the Online Buying Decision

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