scholarly journals How Web Shops Impact Consumer Behavior?

2021 ◽  
Vol 15 (3) ◽  
pp. 350-356
Author(s):  
Helena Štimac ◽  
Ivan Kelić ◽  
Karla Bilandžić
Keyword(s):  
Multivariate Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Reliability Analysis ◽  
Online Shopping ◽  
Customer Behavior ◽  
Descriptive Statistics ◽  
Firm Reputation ◽  
Marketing Actions ◽  
The Impact

The behavior of e-customers is quite unpredictable, which raises additional questions about this topic. The purpose of the paper is to conduct research on e-customers, understand the impact of marketing actions on e-customer behavior and understand the unpredictability of e-customers. Research was conducted on the Mlinar web shop that sells cakes. 284 respondents/buyers had the opportunity to solve questionnaires about behavior after purchase and consumption of product. Different methods have been used in the analysis - descriptive statistics, multivariate analysis (reliability analysis, correlation analysis and linear regression) and analysis of variance (ANOVA). The results showed that most examinees were satisfied with online shopping on the Mlinar web shop and that they are impulsive when online shopping. Saving time is the main reason to buy on a web shop. Research proved that variables such as firm reputation/perceived value, e-satisfaction and online services positively affect the creation of e-loyalty in their users.

scholarly journals Customers’ behavior intension regarding online shopping of general product and insecticide in Thailand

2020 ◽  
Vol 4 (2) ◽  
pp. 184
Author(s):  
DINESH ELANGO ◽  
KRITCHANUT PRAYOONPONG
Keyword(s):  
Linear Regression ◽  
Customer Service ◽  
Online Shopping ◽  
Technology Development ◽  
Global Market ◽  
Customer Behavior ◽  
Growth Strategy ◽  
Online Application ◽  
The Impact ◽  
General Product

The global market of insecticide products is expected to garner around 16.7 Billion US by 2020, registering a CAGR of 5.0% during the forecast period 2014 to 2020. Companies are operating in this market focus on product launches as part of their growth strategy. As the retail sales of global e-commerce have continuously grown, e-commerce has gained the large share from physical retail over the last decade derived from the impact of greater internet access and technology development that make online shopping easier and more convenience. The research analyzes data of customer behavior intention by parallel compare impact of the data from general product and insecticide product. In analyzing data, single Linear Regression and multiple linear regression were employed to investigate the impact and difference between dependent and independent variable. The 400 respondents who are using online application and have online shopping experience were implied to investigate the factors that have intention to decision on purchase product via online channel in this research. The results have been interpreted that people have more concern on purchase of insecticide online in product attitude, customer service, purchase and delivery, and promotion of insecticide. This study concept and valid the customer behavior toward insecticide product for set strategy of the insecticide in online market.

scholarly journals Influence of the key account manager in the provisioning management: Evidence from staple companies during the events of COVID-19

Accounting ◽  
2022 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Cynthia-Paola A lbengrin-Mendoza ◽  
Gabriela-Briggite Gomez-Rojas ◽  
Yuri Sánchez-Solis ◽  
Wagner Vicente-Ramos
Keyword(s):  
Experimental Design ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Key Account ◽  
The Impact

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

DETERMINANTS OF CUSTOMER LOYALTY OF SELECTED BREWED PRODUCTS IN ABUJA METROPOLIS

2021 ◽  
Vol 2 (1) ◽  
pp. 1-14
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Survey Design ◽  
Corporate Image ◽  
Descriptive Statistics ◽  
Bivariate Correlation ◽  
Product Value ◽  
The Impact ◽  
Structured Questionnaire

The main purpose of the study was to investigate the impact of customer satisfaction, perceived value, trust, and corporate image on customer loyalty of brewed products in Nigeria. The research adopted a survey design. The research instrument adopted for this study was the researchers’ self-structured questionnaire. Four hundred copies of the questionnaire were administered to the respondents drawn from the various joints and parks where brewed products are sold and consumed in Abuja Metropolis. The data was analyzed using descriptive statistics, bivariate correlation, and linear regression. The study found that customer satisfaction has a positive and significant effect on customer loyalty, perceived product value has a positive and significant effect on customer loyalty to brewed products in Abuja, corporate image has a positive and significant effect on customer loyalty of selected brewed products in Abuja, while trust in the brewed products on customer loyalty was found to be negative and insignificant, showing that it is a negative and insignificant determinant of the brewed products. The study recommends that to optimize customer loyalty, customer satisfaction, perceived product value, corporate image should be the major issues of interest to the brewery products companies in Abuja Metropolis. Strategies on these variables should be maintained since they were found to be positive and significant. However since trust was found to be negative, it should be improved to the point it can become positive to customer loyalty of the sampled firms in Abuja Metropolis.

Factors determining the profitability of equity in small and mediumsized enterprises in Poland / Czynniki determinujące rentowność kapitału własnego w małych i średnich przedsiębiorstwach w Polsce

Management ◽  
2013 ◽  
Vol 17 (1) ◽  
pp. 185-198 ◽  
Author(s):  
Janina Jędrzejczak-Gas
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Capital Structure ◽  
Equity Capital ◽  
Return On Equity ◽  
Differentiation Method ◽  
Financial Position ◽  
Factors Influencing ◽  
Return On Sales ◽  
The Impact

Summary The equity capital profitability indicator is one of the basic measures of the financial position of the company. It is considered to be one of the most synthetic evaluation metrics of the companies activity. It’s level is influenced by the overall economic phenomenons taking place in the company. The purpose of this article is to identify factors influencing the return on equity of small and medium-sized enterprises and to examine the strength and direction of the impact of these factors on the level of ROE based on Du Pont model. To accomplish this objective were used three different methods: correlation analysis, deterministic (differentiation) method and the method of linear regression. The correlation coefficient analysis shows that trends in changes of return on equity and return on sales were strongly related. Trends of changes in return on equity and asset rotation (the turnover) were moderately similar. Trends of changes of return on equity and the capital structure were moderately dissimilar. The method differentiation method allowed to determine that, in most years of the period, both in small and medium-sized enterprises, the strongest factor affecting the change in return on equity was the return on sales. In the consideration of β, both small and mediumsized enterprises the key importance has the profitability of sales.

scholarly journals Information technology as an indicator of the level of organizational performance

2021 ◽  
Vol 11 (1) ◽  
pp. 29-41
Author(s):  
Siniša Mitić ◽  
Jovanka Popović ◽  
Jasmina Poštin ◽  
Vesna Ćilerdžić ◽  
László Szabó
Keyword(s):  
Information Technology ◽  
Correlation Analysis ◽  
Organizational Performance ◽  
Middle Managers ◽  
Statistical Data ◽  
Organizational Trust ◽  
Communication Satisfaction ◽  
Descriptive Statistics ◽  
The Impact ◽  
Organizational Performances

This paper presents the results of research into the impact of information technology (IT) on individual and organizational performances in companies in Serbia: job satisfaction (JS), communication satisfaction (CS), organizational commitment (OCM), organizational trust (ITW), organizational learning (OL) and financial performance (FP). The data were obtained from a questionnaire completed by N = 380 middle managers from 102 companies in Serbia. The methods used for statistical data processing were: descriptive statistics, correlation analysis and the t-test. The main conclusions of the study are: 1. Information technology items in companies in Serbia are slightly above average values. 2. The level of information technology in the company is an indicator of the level of organizational performance in the company. 3. The level of information technology in the company has direct and indirect positive impacts on the level of a number of organizational performances in the company.

scholarly journals The Influence of Open Selection and Official Competence in Filling Primary High Leadership Positions on the Organizational Performance of Regional Apparatus in East Belitung Regency

2021 ◽  
Vol 4 (2) ◽  
pp. 1894-1902
Author(s):  
Mudiarsono Mudiarsono
Keyword(s):  
Linear Regression ◽  
Human Resources ◽  
Multiple Linear Regression ◽  
Organizational Performance ◽  
Local Governments ◽  
Major Effect ◽  
Descriptive Statistics ◽  
Leadership Positions ◽  
Merit System ◽  
The Impact

The Merit System and the available options are applied in many Agencies, Institutions and Local Governments to get the best Human Resources. The objectives of this research was to ascertain the impact of open selection and competence on the performance of regional apparatus organizations in the East Belitung Regency. This study employs an explanatory approach with a quantitative approach, analyzing data using descriptive statistics and multiple linear regression. The findings indicated that open selection had a major impact on organizational performance in part. Meanwhile, integrity has a major effect on organizational success on a partial basis. Simultaneous effects of open selection and competence on organizational efficiency are also important.

scholarly journals Workaholism in IT: An Analysis of the Influence Factors

2020 ◽  
Vol 10 (4) ◽  
pp. 96
Author(s):  
Octavian Dospinescu ◽  
Nicoleta Dospinescu
Keyword(s):  
Multivariate Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Analysis Of Variance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Multivariate Analysis Of Variance ◽  
The Impact

The purpose of this article is to make an exhaustive analysis of the influencing factors for the phenomenon of workaholism in IT. In contemporary economies, workaholism is an increasingly common phenomenon. Companies should evaluate the impact on workers of this trend, and note that knowledge of the factors influencing the decision to overwork can be a competitive advantage when implementing human resources policies. Our approach involved the use of multivariate analysis of variance combined with multiple linear regression analysis. The article analyzes the data from 178 respondents who are employed in the IT sector in Romania, taking into account seven potential factors of influence. The data and econometric analyses were processed in IBM SPSS Software. The results of the multivariate analysis of variance combined with multiple linear regression analysis show a significant relationship between workaholism and influencing factors such as the remunerative component of work, the intrinsic pleasure of working, the sense of responsibility towards family, and the desire to develop during a professional career. In this study, socio-demographic influences were found to have a weak influence on the decision to work excessively.

scholarly journals Globalisation Impacts on Timber Consumption in Slovakia

2021 ◽  
Vol 129 ◽  
pp. 08014
Author(s):  
Hubert Paluš ◽  
Michal Dzian ◽  
Ján Parobek ◽  
Mikuláš Šupín
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Sustainable Use ◽  
Value Added ◽  
Economic Sectors ◽  
Timber Trade ◽  
Pros And Cons ◽  
Derived Demand ◽  
The Impact ◽  
The Relationship

Research background: Globalisation is nowadays phenomenon which affects all economic sectors. The pros and cons of globalisation can also be observed in the case of forestry and forest-based complex in Slovakia. Timber trade and market follows the theory of derived demand, which means that demand for wood depends on the demand for final products. We can observe a significant impact of globalisation on changes in the use of wood from traditional to new ecological and sustainable use. Since 1993 the consumption of industrial roundwood in Slovakia has increased by almost 185%. Purpose of the article: The aim of this study is to examine the impact of globalisation on the consumption of coniferous and non-coniferous industrial roundwood in Slovakia, and to determine the relationship between the consumption of industrial roundwood and trends of globalisation trends in Slovakia. Methods: The development of KOF globalization index was analysed in the period 2003 to 2018. In addition, the development of the consumption of coniferous and non-coniferous industrial roundwood was examined. The correlation analysis and linear regression were used to analyse the relationship between the KOF globalisation index and development of consumption of coniferous and non-coniferous industrial roundwood in Slovakia. Findings & Value added: The results of correlation analysis show statistically significant relationship between globalisation and the development of consumption of industrial roundwood in Slovakia. We can conclude that the development of globalisation has more significant impact on consumption of non-coniferous industrial roundwood than on consumption of coniferous industrial roundwood.

scholarly journals Analyzing the impact of Artificial Intelligence in Online business Intelligence

2021 ◽  
pp. 269-275
Author(s):  
Tanmayee Tushar Parbat ◽  
Rohan Benhal ◽  
Honey Jain ◽  
Dr. Vinayak Musale
Keyword(s):  
Business Intelligence ◽  
Recommendation System ◽  
Online Shopping ◽  
Customer Behavior ◽  
Learning Technology ◽  
General Survey ◽  
Recommendation Algorithms ◽  
Online Business ◽  
Research Gap ◽  
The Impact

The replacement of traditional shopping fashion by the varied modes of online shopping in real-time. Due to traditional shopping, most of them are becoming into real feel about the merchandise whichever they buy. The merchandise features are going to be manually realized by the consumers whereas in online shopping all the consumers believe the descriptive summary of the products and therefore the various factors supported the sold historical data. Now a day’s modern shopping method is moving gradually towards hitting a greater number of consumers. Here recommendation system playing an important role in suggesting the merchandise by considering the sooner records and increasing the demand. Many of the consumers are attracted by factors like deals on an item, rating, review, and price of the merchandise. Through these factors, most of the consumers are interested in taking online shopping rather than traditional shopping methods. For suggesting the products to consumers, many sorts of recommendation algorithms are applied using machine learning and deep learning technology to coach the system automatically by observing the customer behavior patterns. But the believing factors of the merchandise are going to be forged some time; in such cases, consumers aren't satisfied with their expectations. the general survey of this paper will address the research gap and opportunities with the advice system.

Sign in / Sign up

Export Citation Format

Share Document