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 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 Sustainable Online Shopping Logistics for Customer Satisfaction and Repeat Purchasing Behavior: Evidence from China

2019 ◽  
Vol 11 (20) ◽  
pp. 5626 ◽  
Author(s):  
Choi ◽  
Chung ◽  
Young
Keyword(s):  
Customer Satisfaction ◽  
Customer Service ◽  
Online Shopping ◽  
Customer Relationship ◽  
Purchasing Behavior ◽  
Logistics Services ◽  
Quality Of Delivery ◽  
The Impact ◽  
Repeat Purchasing

This study examines the impact of the quality of online shopping logistics services on customer satisfaction and in driving subsequent repeat purchasing behavior. Five hypotheses are established to represent the relationships between customer satisfaction and each factor of logistics services: quality of information, quality of order, quality of delivery, price of delivery, and customer service. The research includes surveys conducted over two months from 1 December, 2016, to 31 January, 2017, targeting mostly young Chinese customers with experience purchasing products online, thus representing e-commerce. A questionnaire was distributed to each subject in a sample of 150 Chinese customers with online shopping experience. The empirical analysis indicates that logistics service quality, and primarily the quality of delivery, has a statistically significant impact on customer satisfaction, which, in turn, has a statistically significant impact on repeat purchasing behavior. The results provide insight into the strategy behind China’s rapidly growing online shopping industry, which focuses on maintaining stability through long-term customer relationship management.

scholarly journals Service Customer Loyalty: An Evaluation Based on Loyalty Factors

2020 ◽  
Vol 12 (6) ◽  
pp. 2260
Author(s):  
Neringa Vilkaite-Vaitone ◽  
Ilona Skackauskiene
Keyword(s):  
Customer Service ◽  
Customer Loyalty ◽  
Service Provider ◽  
Customer Behavior ◽  
Empirical Testing ◽  
Single Measure ◽  
Suggested Approach ◽  
The Impact ◽  
Insight Into ◽  
Over Time

This study sheds light on customer loyalty based on three groups of factors (customer, service provider, and environment). Noting the diversity of the effects of customer loyalty factors, this research investigates the impact of every factor upon customer loyalty. This paper provides an innovative insight into how a variety of customer loyalty factors might be combined into a single measure of customer loyalty. Finally, this study examines phases of customer loyalty and identifies the factors that prevent a peak of customer loyalty. The factors determining customer loyalty explain why customers move across different loyalty phases over time. The results of the empirical testing confirmed the practical applicability of the suggested approach for evaluating customer loyalty based on these factors. An innovative approach to the evaluation of customer loyalty is essential for marketers because it will help them to evaluate loyalty in cases where data about customer behavior are not collected. The findings of the research contribute to a better understanding of which factors are a viable basis for increasing customer loyalty, specifically in the catering and beauty markets, and offer guidance to marketing managers on how to shift customers to more desirable loyalty phases.

The Impact of Investment on Sustainable Competitiveness Aspects

2022 ◽  
pp. 333-354
Author(s):  
Sanela Arsić ◽  
Aleksandra Fedajev
Keyword(s):  
Sustainable Development ◽  
Technology Development ◽  
Global Market ◽  
The European Union ◽  
Member States ◽  
The Sustainable Development ◽  
Development Patterns ◽  
Demographic Dynamics ◽  
Financial Investments ◽  
The Impact

The European Union (EU) consists of 27 economies characterized by different economic structures, living standards, demographic dynamics, technology development, and other factors shaping their sustainable development patterns. This chapter aims to examine the impact of total investments and R&D investments on the sustainable development of EU economies and determine how these financial investments impact sustainable competitiveness in the global market. The assessment of the sustainable development performances was performed for the period from 2008 to 2019 using the linear regression model. The key findings pointed out that total investments and R&D investments had different impacts on sustainable competitiveness aspects in old member states (OMS) and new member states (NMS). The results could help policymakers understand, adjust, and optimize sustainable competitiveness to secure economic growth in all regions and reduce the differences between OMS and NMS.

scholarly journals Exploring Online Shopping Behaviour within the Context of Online Advertisement, Customer Service Experience Consciousness and Price Comparison Websites: Perspectives from Young Female Shoppers in the Zlínský Region

2015 ◽  
Vol 63 (2) ◽  
pp. 595-605 ◽  
Author(s):  
Christian Nedu Osakwe ◽  
Miloslava Chovancová
Keyword(s):  
Customer Service ◽  
Online Shopping ◽  
Young Female ◽  
Partial Least Square ◽  
Intention To Use ◽  
Service Experience ◽  
Price Comparison ◽  
Shopping Behaviour ◽  
Online Advertisement ◽  
The Impact

Online shopping behaviour within the context of price comparison websites presents an interesting area of consumer behaviour, yet very little research has been done in this area. Hence, the focus of this paper was to critically explore the impact of online advertisement and customer service experience consciousness on young female shoppers’ intention to use price comparison websites as a purchase decision-making tool within the online retail environment. Our sample consisted of 123 female respondents of the Tomas Bata University students in Zlín, Czech Republic. From the sample, we found out using the Partial Least Square approach to Structural Equation Modelling (PLS-SEM) that both online advertisement (Ads) and customer service experience consciousness are directly and positively related to online shoppers’ intention to use price comparison websites. Hence, our two stated hypotheses were supported based on the outcome of the structural model. Apparently, customer service experience consciousness is a better predictor of female shoppers’ intention to use price comparison websites compared to online advertising. Nonetheless, we have highlighted the need for a further research based on the study’s limitations.

scholarly journals A Study of demographic factors of online shoppers in Lucknow, U.P, India

2021 ◽  
Vol 23 (3) ◽  
Author(s):  
Inderpal Singh Bindra ◽  
◽  
Dr. Ajay Prakash ◽  
Keyword(s):  
Quantitative Research ◽  
Online Shopping ◽  
Research Work ◽  
Demographic Factors ◽  
Global Market ◽  
Market Place ◽  
The Future ◽  
Online Shoppers ◽  
Behavior Frequency ◽  
The Impact

Online buying and shopping is a rising concept in the area of E-Commerce and is absolutely departing to be the future of Online shopping in Indian market. Majority of the firms are operating their online websites to promote and sell their products as well as services through online medium/website. In present scenario online shopping is very much used by Indians, its development is enormous in Indian online market. India is a large customer market place but still lacking as compared to global market. The future of development of online shopping has forwarded the plan of performing a study on online shopping market in India. This research work presents Qualitative and Quantitative research for Indian online market to study the impact and role of Demographic factors of customers in online shopping. The parameters, which we are considering like satisfaction of customers in online shopping market, future purchasing behavior, frequency of transactions in online shopping, total numbers of items bought, and total spending in online shopping. These data for the analysis was collected through Questionnaires on a sample of 125 respondents from Lucknow City. The results of this research indicates that online shopping market in India is affected by several Demographic factors such as marital status, age, family size, gender and income of the respondents. The results and analysis of this research may be further extended by the researchers for forwarding the future studies in this area.

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.

Improve Intelligence of E-CRM Applications and Customer Behavior in Online Shopping

2015 ◽  
Vol 6 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Bashar Shahir Ahmed ◽  
Mohammed Larbi Ben Maati ◽  
Badreddine Al Mohajir
Keyword(s):  
Customer Service ◽  
Online Shopping ◽  
Customer Behavior ◽  
Marketing Strategies ◽  
Customer Relationships ◽  
Customer Relationship ◽  
Huge Number ◽  
Qualitative And Quantitative ◽  
Customer Responsiveness ◽  
Number Of Customers

The advent of internet has led to the application of electronic services in enhancing the customer relationship management. E-CRM integrates IT in internal organization in executing the marketing strategies. The current issue facing the E-CRM is determining the number of customers that are responsive to the e-commerce application. Furthermore, a huge number of customers are continuously becoming frustrated when using the E-CRM application. The application, thus becomes redundant making it difficult in meeting the set targets of customer service. The purposive study thus seeks to understand the customer responsiveness to e-CRM. The intelligence of online shopping using E-CRM cannot be underestimated. The research study made use of both qualitative and quantitative methodologies in coming up with the necessary data. Qualitative approach examined the overall effectiveness of E-CRM in influencing positive customer relationships.

scholarly journals Impacts of Environmental Policies on Global Green Trade

2021 ◽  
Vol 13 (3) ◽  
pp. 1517
Author(s):  
Sung Jin Kang ◽  
Sun Lee
Keyword(s):  
Fixed Effects ◽  
Energy Intensity ◽  
Environmental Policies ◽  
Global Market ◽  
Growth Strategy ◽  
Intensity Level ◽  
Middle Income ◽  
Green Production ◽  
Pseudo Maximum Likelihood ◽  
The Impact

The objective of this study was to investigate the impact of environmental policies on bilateral green exports among developed and developing countries. The empirical analysis was based on the fixed-effects gravity model estimation with the PPML (Poisson pseudo-maximum likelihood) for bilateral green trade of world countries for 1990–2019. This study focused on two proxy environmental policy indicators: environment-related tax and energy intensity. The major findings were that, first, promotion of environment-related tax increases green exports among HIC (high-income countries) and, second, an increase in the green trade of a country depends on the energy intensity level of its trading partner countries in order to stabilize domestic demand and production. This result is shown to be significant and consistent within the trade between the same income groups. Thus, supporting the green growth strategy, empirical results suggest that LMY (low- and middle-income) countries have to promote environmental policies and green production processes to be competitive in the global market.

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