Factors Affecting Customers’ Buying Decisions of Mobile Phone : A Study on Khulna City, Bangladesh

Uddin, Reaz; Lopa, Nusrat Zahan; Oheduzzaman,

doi:10.5121/ijmvsc.2014.5203

Cited by 31 publications

(28 citation statements)

References 10 publications

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“…First and foremost, researchers were interested in analyzing smartphone purchase behavior at macro level in different countries such as purchase behavior in Turkey (Karakaş & Öztürk, 2016), Australia (Roach, 2009), Bangladesh (Uddin et al, 2014), Malaysia (Shabrin et al, 2017) and other countries in the world. Moreover, they investigated the level of influence of different factors such as private level brands (Coelho et al, 2013), physical attributes (Uddin et al, 2014), economic inequalities (Potnis, 2016), brand image and product attributes (Ann et al, 2017) on consumer behavior. Purchase of smartphone is a complex decision which is influenced by technical (Bringula et al, 2018), social (Hooi Ting et al, 2011) and economic factors (for example price, monthly income (Bringula et al, 2018)).…”

Section: Consumer Behavior In the Smartphone Marketmentioning

confidence: 99%

Smart for development: Income level as the element of smartphone diffusion

Jamalova¹,

Constantinovits²

2020

10.5267/j.msl

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For understanding the place of income in smartphone diffusion, this paper aims to find out the dependence of smartphone market indicators on income level worldwide and in the developing economies. The strength of the relationship between above-mentioned variables identifies the speed of smartphone diffusion influenced by income. For current purposes, secondary data from 189 countries were analyzed by using Hierarchical Cluster Analysis and Chi-square analysis. The results confirmed that income level influences smartphone purchase and diffusion. However, the strength of the relationship between income and smartphone market indicators is diverse globally and in developing countries. In developing countries, the strength of the relationship is smaller in comparison with the overall results. It means that income level has weak moderating effect in smartphone diffusion, and it cannot be considered as a key indicator of smartphone diffusion in developing countries according to results of the analysis in 2016 and the arithmetic mean of 2013-2017 years.

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Section: Consumer Behavior In the Smartphone Marketmentioning

confidence: 99%

Smart for development: Income level as the element of smartphone diffusion

Jamalova¹,

Constantinovits²

2020

10.5267/j.msl

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“…Mobile phones are now considered as an inseparable part of our personal communication context (Karjaluoto et al, 2005). Among the diverse modes of communication, mobile phone is one of the most reliable and efficient vehicles to reach wide range of persons within a very short time (Uddin, Lopa & Oheduzzaman, 2014). This device had one of the quickest household adoption rates of any other technological devices in the modern history (Comer & Wikle, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…The first mobile phone handset was launched in Bangladesh in early nineties (Uddin et al, 2014) and Nokia pioneered the journey leading from the front. Currently many mobile phone brands such as Samsung, Symphony, Walton, Nokia, Sony, HTC, Apple, Huawei, Motorola, Panasonic, LG, Micromax, Vivo, Oppo, Xiaomi etc.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing Purchase Intention of Cellular Phones Among the University Students in Bangladesh

Rakib¹

2019

EJBM

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Uses of cellular phone among the university students are increasing in Bangladesh. To capture this growing market segment and meeting their diverse demand, it is important for the manufacturers and marketers of cellular phone to know about the factors that these young truly judge. This study is undertaken to find out the factors that affect young Bangladeshi university students' intention to purchase cellular phone. Through using a structured questionnaire, completed responses of 350 respondents were collected by applying convenience sampling technique. To test the reliability of the collected data, Cronbach's alpha was measured. Besides this, Regression and ANOVA is used to explain the relationship between the factors affecting university students' cell phone purchase intention and test the proposed hypotheses. Statistical package for the social sciences (SPSS) version 21.0 was used to perform the statistical tests. This study found significant influence of cell phone price, cell phone feature, brand name and social influence on university students' cellular phone purchase intention. Findings of the study will help the cellular phone manufacturers and marketers to design their youth centric marketing strategies. Moreover, managerial implications along with the directions for future research have also been discussed.

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“…Sedangkan menurut Katawetawaraks dan Wang; Uddin, Lopa, & Oheduzzaman (2014), keptusan pembelian secara daring adalah tindakan konsumen dalam melakukan keputusan belanja daring. Adapun indikatornya yaitu: (1) Mantab atas keputusan.…”

Section: Keputusan Pembelian Daringunclassified

Antecedents of online purchasing behavior Antesenden perilaku pembelian secara daring

M.Si

Saleha

2018

Benefit

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: This study aims to determine the effect of information quality, service quality, as antecedent of online purchasing decision behavior. The population in this study is consumer who had been shopping for products or goods through the sale and purchase site of tokopedia.com. This study using 100 respondents, sampling technique with purposive sampling method. The paradigm of this study is positivism and using survey as design research. Data analyzed in this research includes measurement test, normality test, multicollinearity test and heteroskedastisity test. Hypothesis testing using multiple linear regression analysis, t-test, F test, and the value of coefficient of determination (R²). The results showed that the quality of information has a positive and significant effect on the behavior of online purchasing decisions. Service quality variable have positive and significant effect to online purchasing decision behavior. Confidence variables have a significant and negative effect on online purchase decision behavior. Simultaneously the quality of information, service quality, and trust have a significant influence on the behavior of purchasing decision. The variance of independent variables in explainable online decision are 17,4% and the rest explained by other variable outside of this research.Abstraksi : Penelitian ini bertujuan untuk mengetahui pengaruh kualitas informasi, kualitas layanan, sebagai anteseden perilaku keputusan pembelian online. Populasi dalam penelitian ini adalah konsumen yang telah berbelanja produk atau barang melalui situs jual beli tokopedia.com. Penelitian ini menggunakan 100 responden, teknik pengambilan sampel dengan metode purposive sampling. Paradigma penelitian ini adalah positivisme dan menggunakan survei sebagai penelitian desain. Analisis data dalam penelitian ini meliputi uji pengukuran, uji normalitas, uji multikolinearitas dan uji heteroskedastisitas. Pengujian hipotesis menggunakan analisis regresi linier berganda, t-test, uji F, dan nilai koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa kualitas informasi memiliki pengaruh positif dan signifikan terhadap perilaku keputusan pembelian online. Variabel kualitas layanan berpengaruh positif dan signifikan terhadap perilaku keputusan pembelian online. Variabel keyakinan memiliki pengaruh yang signifikan dan negatif terhadap perilaku keputusan pembelian online. Bersamaan dengan itu kualitas informasi, kualitas layanan, dan kepercayaan memiliki pengaruh yang signifikan terhadap perilaku keputusan pembelian. Varians variabel independen dalam keputusan online yang dapat dijelaskan adalah 17,4% dan sisanya dijelaskan oleh variabel lain di luar penelitian ini.

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Factors Affecting Customers’ Buying Decisions of Mobile Phone : A Study on Khulna City, Bangladesh

Abstract: ABSTRACT

Cited by 31 publications

References 10 publications

Smart for development: Income level as the element of smartphone diffusion

Smart for development: Income level as the element of smartphone diffusion

Factors Influencing Purchase Intention of Cellular Phones Among the University Students in Bangladesh

Antecedents of online purchasing behavior Antesenden perilaku pembelian secara daring

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