scholarly journals E-COMMERCE NATIONAL MARKET - STUDY FROM THE PERSPECTIVE OF MANIFESTED DEMAND

2015 ◽  
Author(s):  
Laura Catalina Timiras
Keyword(s):  
Formal Education ◽  
Total Population ◽  
Official Statistics ◽  
Eu Countries ◽  
Product Categories ◽  
Online Purchases ◽  
Online Purchase ◽  
National Market ◽  
Sports Goods

E-commerce market in Romania recorded the lowest level of development compared to other EU countries, in terms of the intensity of online purchase habit of the population of Romania. Thus, in 2014, only 16.7% of those who used the computer in the range of 16-74 years and 10% of the total population of the same age had made online purchases, compared with 63.3% and 50% respectively - the same indicators at EU level. Still, in Romania there was a rapid increase in the share of those who make online purchases, so in 8 years (2007-2014) this indicator increased by 3 times. Regarding the categories of the population by various characteristics, greater orientation towards online purchases is recorded among individuals with high formal education, youth (under 35), with above-average incomes. In terms of product categories purchased online, the most favorite categories are: clothes, sports goods. This analysis is based mostly on official statistics provided by Eurostat.

scholarly journals Online Gardening Search Activities and Purchases

2008 ◽  
Vol 26 (4) ◽  
pp. 210-216
Author(s):  
Bridget K. Behe ◽  
Brittany Harte ◽  
Chengyan Yue
Keyword(s):  
United States ◽  
The United States ◽  
Internet Technology ◽  
The Internet ◽  
Demographic Differences ◽  
Online Purchases ◽  
Online Purchase ◽  
Region Of Residence ◽  
Baseline Information ◽  
Made In

Abstract Consumers have readily adopted personal computers and Internet technology with many seeking information and/or make purchases online. However, the extent to which horticultural consumers seek information and make purchases online is not well documented. A survey of 1588 consumers, representative of the United States on average, was conducted in 2004 to provide baseline information about online gardening search and purchase activities. Nearly 28% searched for gardening information at least once; of those, more than 50% of the participants searched for information at least weekly. There were differences in gardening-related searches by age and marital status, but not by region of residence, income, or gender. Nearly 50% of the study respondents made an online purchase in the year prior to the survey but only 7.4% made a gardening related purchase online. Over 50% had made a gardening-related purchase in-person. The same respondents who made in-person purchases were the individuals who made the online gardening purchases, so the Internet provided a supplemental shopping venue. There were demographic differences between those who made online gardening purchases and solely in-person gardening purchases. More males, younger and slightly less affluent participants were more likely to make online purchases than solely in-person purchases for gardening products, supplies, and services while more females who were slightly older and more affluent were more likely to make in-person gardening-related purchases.

Web Assurance Seals: How and Why They Influence Consumers' Decisions

2002 ◽  
Vol 16 (2) ◽  
pp. 231-250 ◽  
Author(s):  
Marcus D. Odom ◽  
Anand Kumar ◽  
Laura Saunders
Keyword(s):  
Factor Analysis ◽  
Two Dimensions ◽  
Purchase Behavior ◽  
Purchase Decisions ◽  
Rapid Rate ◽  
Internet Commerce ◽  
Online Purchases ◽  
Online Purchase ◽  
Online Consumers ◽  
The Web

Internet commerce is exploding and predicted to continue growing at a rapid rate for several more years. Online businesses that have a desire to tap into this Internet commerce explosion are seeking ways to convince online browsers to become online purchasers. To achieve this goal, businesses need to find ways to alleviate consumers' fears and concerns about making online purchases. This paper reports on a series of three studies focused on (1) determining the fears and concerns that online consumers have, (2) examining whether the leading brands of web assurance seals (Verisign®, TRUSTe, Good House Keeping, and CPA WebTrust) can help alleviate those fears and concerns, and (3) gaining insights into the process by which web assurance seals can influence consumers' online purchase decisions. This study identified seven distinct concerns that consumers had with purchasing goods/services online. Factor analysis revealed that these concerns were along two dimensions: concerns about the firm and concerns about technology. It was found that the leading brands of web assurance seals addressed only a few of the online purchasers' fears and concerns, and there was a big gap between consumers' needs for assurance and what they felt was being offered by the web seals. Further, it was also found that the process by which web assurance seals influenced consumers' online purchase behavior involved recognition of and familiarity with a particular web assurance seal, and possibly the number of associations consumers made with a particular web assurance seal.

scholarly journals Spatial Analysis of Macro Economic in Central Java (PDRB Analysis in Year 1993-2003)

2016 ◽  
Vol 19 (2) ◽  
pp. 152
Author(s):  
Eddy Kiswanto
Keyword(s):  
Economic Growth ◽  
Spatial Analysis ◽  
Economic Crisis ◽  
Total Population ◽  
Absolute Number ◽  
National Average ◽  
Poverty Level ◽  
Central Java ◽  
National Market ◽  
Manufacture Sector

This paper aims to study the spatial analysis macroeconomics condition in central Java from 1993-2001 base on PDRB analysis. Central Java stands in the last position in the economic in Central Java based on PDRB variable and economic growth is in the lowest category in the comparation with another provinces in Java. This is reason why Central Java is categorized as "LL" (Low low). One of the prime sectors in Central Java is small medium scale enterprises which is dominated 30% of national market, but since the economic crisis stroke in 1997 the manufacture sector, especially industry and processing had collapse. In 1996-1997, the level of manufacture growth increased to 14.4% but then decreased until minus 19.3%. This condition caused by bankruptcy to many of the industries. The poverty profile in Central Java from 1999-2003 is average 23.3% from the total population every years. Central Java stepping to number 2 in level of poverty absolute number 1. In poverty relativity level, Central Java became number 1 in Java from 2002-2003 with the level of poverty reached above the national average. This fact shows the unsuccessfully effort in reducing the poverty level.

scholarly journals DETERMINED CONSUMERS ONLINE PURCHASE INTENTION FACTORS BY CONSIDERING RISK AND E-TRUST

2020 ◽  
Vol 4 (2) ◽  
pp. 293
Author(s):  
Aulia Fashanah Hadining ◽  
Salmah Ayu Haryanti ◽  
Tazkia Rasyid Munajat
Keyword(s):  
Purchase Intention ◽  
Financial Risk ◽  
Influential Factors ◽  
Physical Interaction ◽  
Research Model ◽  
Online Purchases ◽  
Research Survey ◽  
Online Purchase ◽  
Shopping Experience ◽  
The Individual

Niat pembeli adalah salah satu pendorong utama bagi pembeli untuk melakukan transaksi pembayaran dan akhirnya membeli produk atau layanan. Semakin tinggi niat beli, semakin besar keinginan individu untuk membeli barang. Ini juga berlaku untuk pembelian online menggunakan e-commerce. Transaksi pembelian online memiliki karakteristik bahwa tidak ada interaksi fisik antara pembeli, penjual, dan proses pembayaran. Niat pembelian online dapat dipengaruhi oleh berbagai faktor. Berdasarkan studi sebelumnya, faktor-faktor penting dalam pembelian online adalah faktor pengalaman berbelanja, risiko yang mungkin, dan kepercayaan pada situs web penyedia layanan e-commerce. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berpengaruh dalam niat pembelian online dengan membangun model penelitian. Model dalam penelitian ini adalah kombinasi variabel penelitian dari penelitian sebelumnya. Ada tujuh variabel penelitian dengan sepuluh hipotesis penelitian. Variabel yang digunakan untuk menyusun model penelitian adalah Pengalaman Belanja Online, Kualitas Web, Risiko Produk, Risiko Keuangan, Risiko Privasi, E-Trust, dan Niat Pembelian Online. Tahap selanjutnya dari penelitian ini adalah melakukan survei penelitian dan mengolah hasil data menggunakan SMART PLS 3.0.The buyer's intention is one of the main drivers for a buyer to make payment transactions and end up buying products or services. The higher the purchase intentions, the greater the willingness of the individual to buy the goods. This also applies to online purchases using e-commerce. Online purchase transactions have the characteristic that there is no physical interaction between the buyer, seller, and payment process. The online purchase intention can be influenced by various factors. Based on previous studies, important factors in online purchasing are shopping experience factors, possible risks, and trust in e-commerce service provider websites. This study aims to determine the influential factors in online purchase intention by building a research model. The model in this study is a combination of research variables from previous studies. There are seven research variables with ten research hypotheses. The variables used to compile the research model are Online Shopping Experience, Web Quality, Product Risk, Financial Risk, Privacy Risk, E-Trust, and Online Purchase Intention. The next stage of this research is to conduct a research survey and processing the results of data using SMART PLS 3.0.

scholarly journals Utilitarian Value Impact of E-Tail over Retail on Youth in India

2017 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Saraju Prasad
Keyword(s):  
Graduate Students ◽  
Engineering Students ◽  
Sampling Procedure ◽  
Market Volatility ◽  
Market Place ◽  
Statistical Tools ◽  
Professional Students ◽  
Online Purchases ◽  
Online Purchase ◽  
Utilitarian Value

Consumers today have changed from static to dynamic as the change in environment,demands and market volatility affects the perception about retailing. In the meantimeconsumer buying process has changed from complex to simple which indirectly changebuying from traditional stores to e-commerce. This is a conscious upgradation of consumers’status from physical market place to virtual market. Consumer willingness for onlinepurchases has changed because of over accessibility to e-commerce. But customers are not somuch inclined towards online purchases as lots of risk is associated with that. The research ismostly focused on the behavior of college students towards internet purchases. The variablesconsidered for the study that influences the online purchases. A sample size of 300comprising of graduate students, engineering students and other professional students hastaken in judgment sampling procedure. The dataset collected through questionnaire areanalyzed through various statistical tools. The outcome of the study revealed that more thanhalf of the respondents prefer to buy online in an average of Rs.7, 500 per month. Factoranalysis has conducted to verify the importance each variables in online purchase and by thisfour factors generated which are reasonable, influences, accessible and serviceablerespectively which has considered by the youth during their online purchases and give greaterimportance to utilitarian value.

An Exploratory Study of Consumer Adoption of Online Shopping

2009 ◽  
pp. 1456-1471
Author(s):  
Songpol Kulviwat ◽  
Ramendra Thakur ◽  
Chiquan Guo
Keyword(s):  
Risk Aversion ◽  
Exploratory Study ◽  
Online Shopping ◽  
Product Choice ◽  
Consumer Adoption ◽  
Online Purchases ◽  
Online Purchase ◽  
Intention To Purchase ◽  
Managerial Implications ◽  
Relationship Of

An exploratory study was conducted to investigate consumer adoption of online purchase using a survey data set. Based upon the theory of innovation and self-efficacy theory, risk aversion, online proficiency, shopping convenience, and product choice variety were proposed to influence consumer intention to shop online, which, in turn, affects online purchases. Results of regression analyses revealed that all but shopping convenience were significant predictors of consumer intention to purchase online. In addition, consumer intention directly determines consumer purchases online. Finally, consumer intention to purchase online mediates the relationship of risk aversion, shopping convenience, and product choice variety to online shopping. Research and managerial implications of the findings were discussed.

scholarly journals Factors associated with the nutritional status of the older population in a selected area of Dhaka, Bangladesh

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
K. M. Thouhidur Rahman ◽  
Md. Khalequzzaman ◽  
Fahmida Afroz Khan ◽  
Shahrin Emdad Rayna ◽  
Sharraf Samin ◽  
...  
Keyword(s):  
At Risk ◽  
Oral Health ◽  
Nutritional Status ◽  
Formal Education ◽  
Total Population ◽  
Dietary Habits ◽  
Short Form ◽  
Dietary Factors ◽  
Older Population ◽  
Factors Associated

Abstract Background Globally, older population (aged ≥60 years) comprise 11% of the total population, and 23% of them are malnourished. Lack of knowledge and education, adverse dietary habits, depression or psychological disorders, poor oral and dental health, disability, and diseases are the reported factors responsible for malnutrition among them. Geriatric people comprise 7.5% of the total population of Bangladesh, and almost a quarter are malnourished. But there is scarce data on the factors associated with the nutritional status of the older population in Bangladesh. Methods A cross-sectional study was conducted among 125 older individuals (male 59, female 66) living in three villages of Uttarkhan, Dhaka, Bangladesh, to identify the factors associated with their nutritional status. The Mini Nutritional Assessment scale, Geriatric Depression Scale-Short Form, and Geriatric Oral Health Assessment Index were used for assessing the nutritional status, mental health status, and oral health quality of the respondents, respectively. Information on socio-demographic characteristics, comorbidities and dietary factors, and food behaviors were gathered by a pretested semi-structured questionnaire. Ethical approval was obtained from the Institutional Review Board of Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh. Results The participants’ mean age was 67.9 ± 7.1 years. Most of them (53.6%) had no formal education. Among the respondents, 22.0% male and 28.8% female were malnourished. The proportion of malnourished and at risk of malnutrition among the respondents living without a partner were 28.6 and 65.3%, respectively. A significantly (p < 0.05) higher odds of having depression (OR 15.6; 95% CI 3.1–78.1), poor oral health (OR 7.3; 95% CI 1.3–41.8), and no formal education (OR 6.5; 95% CI 1.3–32.1) was observed among the malnourished respondents. Though it was not statistically significant, among the malnourished, 31.3, 25.0 and 25.0% avoided highly oily food, beef/mutton, and sugary food, respectively. Conclusions More than two-thirds of the older population were malnourished or at risk of malnutrition, where the female respondents were more vulnerable. Depression, inadequate oral health, and lack of education were negatively associated with the nutritional status of the older population.

scholarly journals E-commerce Analysis in selected European Union Countries: Position of Croatia

2017 ◽  
Vol 3 (2) ◽  
pp. 62-72 ◽  
Author(s):  
Nataša Kurnoga ◽  
Ana Slišković
Keyword(s):  
European Union ◽  
Internet Use ◽  
Linear Trend ◽  
Hierarchical Cluster ◽  
The Internet ◽  
The European Union ◽  
Eu Countries ◽  
Online Purchase ◽  
Euclidean Distances ◽  
The Eu

Abstract Computer and mobile technology, Internet use and e-commerce have grown enormously in recent years. The main aim of this paper was to analyse the e-commerce of Croatia, the European Union (EU) countries and the post-transition EU countries. Due to technological progress, the paper among other things, analyses the trend of online purchase at the Croatian and the EU level. The analysis revealed the presence of a linear trend. Furthermore, hierarchical and non-hierarchical cluster analyses were used to classify the countries, first at the EU level and then at the level of the post-transition EU countries. Two variables, the Internet use expressed as a percentage of individuals with the last Internet use in the last 12 months and the Internet purchases expressed as a percentage of individuals with the last online purchase in the last 12 months were used to classify those countries. According to Ward’s method with squared Euclidean distances and dendrogram, the countries were classified into three clusters, which were then used as the basis for the k-means method. Finally, the cluster analysis resulted in the following three clusters: most developed, developed and less developed. Croatia was classified in the less developed cluster at the level of the EU countries, while at the level of the post-transition EU countries it was classified in the developed cluster.

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