The Use of Cox Regression Model to Analyze the Factors that Influence Consumer Purchase Decision on a Product

Ihwah, Azimmatul

doi:10.1016/j.aaspro.2015.01.017

Cited by 12 publications

(12 citation statements)

References 3 publications

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“…Banyak faktor yang menentukan proses keputusan pembelian konsumen. Faktor tersebut bisa berasal dari konsumen itu sendiri maupun dari luar (pengaruh eksternal) (Ihwah, 2015). Pengambilan keputusan pembelian online bagi konsumen adalah proses dinamis yang terdiri dari berbagai tahapan.…”

Section: Proses Pengambilan Keputusan Pembelianunclassified

Pengaruh Ekuitas Merek Terhadap Keputusan Pembelian (Studi Pada Konsumen Shopee)

Tresna¹,

Chan²,

Herawaty³

2021

adbispreneur

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The development of digitalization of information systems has changed the trade sector which gave rise to a new business field called e-commerce. Rapid developments have made competition in the e-commerce sector stronger, so it is necessary to identify variables that influence consumer behavior, especially related to purchasing decisions so that companies can win the competition. Literature data shows that brand equity is one of the variables that can influence purchasing decisions. This study aims to determine how much influence brand equity has on consumer purchasing decisions in the Shopee marketplace. The research method used is quantitative. Data were analyzed using multiple linear regression. The sample size is 68 respondents with accidental sampling. Data were collected by distributing questionnaires to shopee user respondents. The results of the study show that there is an influence of brand equity on purchasing decisions Perkembangan digitalisasi sistem informasi memberi perubahan pada sektor perdagangan yang memunculkan bidang bisnis baru yang disebut e-commerce. Perkembangan yang kian pesat, membuat persaingan pada sektor e-commerce semakin kuat sehingga perlu diidentifikasikan variabel yang mempengaruhi perilaku konsumen terutama terkait keputusan pembelian agar perusahaan dapat memenangkan persaingan. Data literatur menunjukkan bahwa brand equity merupakan salah satu variabel yang dapat mempengaruhi keputusan pembelian. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh brand equity terhadap keputusan pembelian konsumen pada marketplace Shopee. Metode penelitian yang digunakan adalah kuantitatif. Data dianalisis menggunakan regresi linier berganda. Ukuran sampel 68 responden dengan sampling aksidental. Data dikumpulkan dengan membagikan kuesioner pada responden pengguna shopee. Hasil penelitian memperlihatkan hasil bahwa terdapat pengaruh dari brand equity terhadap keputusan pembelian.

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Section: Proses Pengambilan Keputusan Pembelianunclassified

Pengaruh Ekuitas Merek Terhadap Keputusan Pembelian (Studi Pada Konsumen Shopee)

Tresna¹,

Chan²,

Herawaty³

2021

adbispreneur

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“…Cox regression model is a semi-parametric regression model, which is the most popular in common in medical research to analysis data with time to discharge [24][25][26]. For each patient…”

Section: Cox Approach In Fs-opamentioning

confidence: 99%

“…. ., m i , is given by Eq (1) [26]. The Cox model was applied to determine the significant covariate, which are associates with LOS The model was fitted using survival package in R [27,28].…”

Section: Plos Onementioning

confidence: 99%

“…Cox regression model is a semi-parametric regression model, which is the most popular in common in medical research to analysis data with time to discharge [ 24 – 26 ]. For each patient i in the dataset, we have the times of hospitalization m i , m i is the number of observed events for patient i .…”

Section: Optimization Based On Phylogram Analysismentioning

confidence: 99%

“…Thus, the LOS for the i th patient and for j th stay is given by t ij − t ij −1 where T i ,0 = 0, for all i = 1, …, n and j = 1, …, m i , where n is the total number of patients. The hazard function for the j th event of i th subject at time t , i = 1, …, n and j = 1, …, m i , is given by Eq (1) [ 26 ]. The Cox model was applied to determine the significant covariate, which are associates with LOS The model was fitted using survival package in R [ 27 , 28 ].…”

Section: Optimization Based On Phylogram Analysismentioning

confidence: 99%

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Feature sensitivity criterion-based sampling strategy from the Optimization based on Phylogram Analysis (Fs-OPA) and Cox regression applied to mental disorder datasets

et al. 2020

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Digital datasets in several health care facilities, as hospitals and prehospital services, accumulated data from thousands of patients for more than a decade. In general, there is no local team with enough experts with the required different skills capable of analyzing them in entirety. The integration of those abilities usually demands a relatively long-period and is cost. Considering that scenario, this paper proposes a new Feature Sensitivity technique that can automatically deal with a large dataset. It uses a criterion-based sampling strategy from the Optimization based on Phylogram Analysis. Called FS-opa, the new approach seems proper for dealing with any types of raw data from health centers and manipulate their entire datasets. Besides, FS-opa can find the principal features for the construction of inference models without depending on expert knowledge of the problem domain. The selected features can be combined with usual statistical or machine learning methods to perform predictions. The new method can mine entire datasets from scratch. FS-opa was evaluated using a relatively large dataset from electronic health records of mental disorder prehospital services in Brazil. Cox's approach was integrated to FS-opa to generate survival analysis models related to the length of stay (LOS) in hospitals, assuming that it is a relevant aspect that can benefit estimates of the efficiency of hospitals and the quality of patient treatments. Since FS-opa can work with raw datasets, no knowledge from the problem domain was used to obtain the preliminary prediction models found. Results show that FS-opa succeeded in performing a feature sensitivity analysis using only the raw data available. In this way, FS-opa can find the principal features without bias of an inference model, since the

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Sustainable FDI and comparative advantage for product export survival: a developing countries perspective

Bashir

Dengfeng

Rădulescu

et al. 2023

Economic Research-Ekonomska Istraživanja

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The Use of Cox Regression Model to Analyze the Factors that Influence Consumer Purchase Decision on a Product

Cited by 12 publications

References 3 publications

Pengaruh Ekuitas Merek Terhadap Keputusan Pembelian (Studi Pada Konsumen Shopee)

Pengaruh Ekuitas Merek Terhadap Keputusan Pembelian (Studi Pada Konsumen Shopee)

Feature sensitivity criterion-based sampling strategy from the Optimization based on Phylogram Analysis (Fs-OPA) and Cox regression applied to mental disorder datasets

Sustainable FDI and comparative advantage for product export survival: a developing countries perspective

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