Using DEMATEL-Based ANP Model to Measure the Successful Factors of E-Commerce

2018 ◽  
pp. 1122-1138
Author(s):  
Chia-Huei Wu ◽  
Sang-Bing Tsai

Factors affecting online businesses are complicated and intertwined. To stimulate online sales, understanding of key influential factors and causal relationships among the factors is important. This paper introduces a hybrid method, called the DANP method, to expose the driving factors that most influence the online businesses. A hierarchy of fourteen criteria in six dimensions is formed to denote the influence levels and weights of factors. The causal graph shows that “Uncertainty” dimension has the highest degree of direct impact on other dimensions; thus, strong efforts should be made to eliminate the influence of this dimension throughout the online shopping process. In addition, the results also show “perceived price” to be the greatest important criterion among all; thus, it should be treated with top priority to boost the online businesses.

2018 ◽  
Vol 26 (1) ◽  
pp. 120-135 ◽  
Author(s):  
Chia-Huei Wu ◽  
Sang-Bing Tsai

Factors affecting online businesses are complicated and intertwined. To stimulate online sales, understanding of key influential factors and causal relationships among the factors is important. This paper introduces a hybrid method, called the DANP method, to expose the driving factors that most influence the online businesses. A hierarchy of fourteen criteria in six dimensions is formed to denote the influence levels and weights of factors. The causal graph shows that “Uncertainty” dimension has the highest degree of direct impact on other dimensions; thus, strong efforts should be made to eliminate the influence of this dimension throughout the online shopping process. In addition, the results also show “perceived price” to be the greatest important criterion among all; thus, it should be treated with top priority to boost the online businesses.


Author(s):  
Nguyen Thi Hong Hanh ◽  
Duong Minh Hung ◽  
Vu Duy Phuong Trinh ◽  
Cao Truong Tuong Vy ◽  
La Thi Nhu Y

This study aims to identify factors affecting the intention to use online shopping apps of Vietnamese consumers. The results indicate the suitability of the theoretical model for market data. Some hypotheses in the model are also accepted. Based on theory of technology acceptance suggested in previous studies, the authors identified five out of eight tested factors that influence the intention to use online shopping apps. In particular, the results from multiple regression analysis on a dataset of 315 customers show that flexibility, habit, trust, hedonic motivation and perceived risk have a direct impact on the intention to use online shopping apps. This study is expected to provide e-commerce companies an overview of the customers who use mobile apps for online shopping and thereby allowing them to develop and improve their apps as well as design strategic plans.  


2021 ◽  
Vol 11 (1) ◽  
pp. 61-73
Author(s):  
Gunja Kumari Sah

The Internet significantly influences people's beliefs and habits all around the world. As a result of this blessing, online shopping has flourished, influencing the lives of ordinary people. This research aims to learn more about how people shop for boutique products online and identify the major influential factors.  The research was constructed using a positivist approach and a descriptive and causal research design. Data were obtained from the 325 samples of respondents at Kathmandu valley through convenience sampling techniques. A total of 450 structure questionnaires were distributed, and 360 were returned. 35 questionnaires were judged to be invalid, while the remaining 325 were referred to as valid questionnaires, entered into SPSS version 20 for the analysis. The result revealed that trust, firm reputation, and ease of use are significant at a 5percent level of significance. However, there was an insignificant relationship between price and online shopping behaviour. Firm reputation and ease of use were the major influential factor of online shopping of boutique products. The study will help the boutique business to develop their strategies as per the consumer need.


2021 ◽  
Vol 7 (3D) ◽  
pp. 363-377
Author(s):  
Qaribu Yahaya Nasidi ◽  
Muhamad Fazil bin Ahmad ◽  
Murtala Garba ◽  
Isyaku Hassan ◽  
Musa Barau Gamji

This study aims to examine advertising, online risk, perceived usefulness, and reliability as factors affecting online shopping behavior among subscribers of online stores in Nigeria. This research adopted a quantitative approach in which a self-administered questionnaire was used to collect data. The respondents consist of 375 subscribers of online stores who had prior online shopping experiences from an online store based in Nigeria. The study used Smart-PLS for data analysis. The findings revealed that advertising and perceived usefulness have a significant positive effect on online shopping behavior. On the other hand, online risk has a negative effect on online shopping behavior. Additionally, there is a positive relationship between reliability and online shopping behavior. This research could be a valuable guideline for online firms to make informed decisions on how to increase online sales. Additionally, this research could advance online shoppers’ knowledge, particularly Nigerians, regarding online shopping.


2020 ◽  
Vol 4 (1) ◽  
pp. 47-54
Author(s):  
Rossazana Ab Rahim

Customer satisfaction is important in online shopping as online shopping has become a trend nowadays. Therefore, customer satisfaction is important so that we can improve customer satisfaction towards online shopping thus increase the growth of E- commerce in Malaysia. This study aims to examine the factors (Website Design, Delivery Service and Security) that affect customer satisfaction and their relationship between factors (Website Design, Delivery Service and Security) with customer satisfaction in online shopping in Kuching, Sarawak. Website Design, Delivery Service and Security are the three independent variables while customer satisfaction is the dependent variables in this study. A total of 300 electronic questionnaires through google from been collected and analysed by using the Descriptive Analysis and Inferential Analysis where Pearson Correlation Coefficient and Multiple Linear Regressions Analysis being employed to test the three-hypothesis developed in this study. In this study, all the three independent variables which included Website Design, Delivery Service and Security are significant and positive related to the customer satisfaction in online shopping in Kuching, Sarawak. Besides, among the three independent variables, Website Design is the most influential factors that affect customer satisfaction in online shopping in Kuching, Sarawak.


Author(s):  
Юлия Владимировна Татаркова ◽  
Татьяна Николаевна Петрова ◽  
Олег Валериевич Судаков ◽  
Александр Юрьевич Гончаров ◽  
Ольга Николаевна Крюкова

В настоящей статье представлен обзор основных решений, доступных сегодня для формирования как краткосрочных, так и долгосрочных проекций заболеваемости болезней глаза и его придаточного аппарата в студенческой среде. С другой стороны, существует ряд проблем, связанных с многообразием факторов, влияющих на заболеваемость, статистической необоснованностью и противоречивостью имеющихся результатов анализа данных. Представлены результаты математического моделирования зависимости показателя заболеваемости от наиболее влиятельных факторов образовательной и социальной среды. Перечислены важнейшие направления разработки математических моделей распространения заболеваемости. С помощью разработанного программного комплекса проведена серия вычислительных экспериментов по оценке и прогнозированию заболеваемости обучающихся в вузах разного профиля. Показана эффективность применения методики многовариантного моделирования и прогнозирования, указаны их ограничения и возможности практического применения. По расположению обобщенной области благоприятного прогноза в факторном пространстве можно определить время воздействия неблагоприятных для зрения факторов, которое должно составлять не более 10 ... 11 часов в сутки, количество профилактических мероприятий должно составлять не менее 3 ... 4. При этом риск развития миопии составит не более 0,4, вероятность усталости глаз за компьютером составит не более 0,4, вероятность дискомфорта глаз на занятиях составит не более 0,15. Исходя из характера прогноза, определяется длительность диспансерного наблюдения, а также потребность профилактических мероприятий по устранению или ослаблению действия неблагоприятно влияющих социально-гигиенических и медико-биологических факторов конкретного больного. Использование прогностической матрицы в практическом здравоохранении позволяет существенно улучшить работу по профилактике офтальмологической заболеваемости и является одним из эффективных мероприятий диспансеризации студенческой молодежи, так как дает возможность выделить из числа обучающихся группу с высоким риском неблагоприятного исхода заболевания This article provides an overview of the main solutions available today for the formation of both short-term and long-term projections of the incidence of eye diseases and its adnexa in the student environment. On the other hand, there are a number of problems associated with a variety of factors affecting the incidence, statistical unreasonability and inconsistency of the available data analysis results. The results of mathematical modeling of the dependence of the incidence rate on the most influential factors of the educational and social environment are presented. The most important areas of developing mathematical models for the spread of morbidity are listed. With the help of the developed software package, a series of computational experiments was carried out to assess and predict the incidence of students in universities of various profiles. The effectiveness of the application of multivariate modeling and forecasting methods is shown, their limitations and practical application possibilities are indicated. By the location of the generalized region of favorable prognosis in the factor space, it is possible to determine the exposure time of factors unfavorable for vision, which should be no more than 10 ... 11 hours a day, the number of preventive measures should be at least 3 ... 4. At the same time, the risk of development myopia will be no more than 0.4, the probability of eye fatigue at the computer will be no more than 0.4, the likelihood of eye discomfort in the classroom will be no more than 0.15. Based on the nature of the forecast, the duration of the follow-up observation is determined, as well as the need for preventive measures to eliminate or weaken the action of adverse social, hygienic and biomedical factors of a particular patient. The use of the prognostic matrix in practical health care can significantly improve the work on the prevention of ophthalmic morbidity and is one of the effective medical examinations for students, since it makes it possible to distinguish among the students a group with a high risk of an unfavorable outcome of the disease


2020 ◽  
Vol 9 (1) ◽  
pp. 170-181 ◽  
Author(s):  
Shangyong Zhang ◽  
Ruipeng Zhong ◽  
Ruoyu Hong ◽  
David Hui

AbstractThe surface activity of carbon black (CB) is an important factor affecting the reinforcement of rubber. The quantitative determination of the surface activity (surface free energy) of CB is of great significance. A simplified formula is obtained to determine the free energy of CB surface through theoretical analysis and mathematical derivation. The surface free energy for four kinds of industrial CBs were measured by inverse gas chromatography, and the influential factors were studied. The results showed that the aging time of the chromatographic column plays an important role in accurate measurement of the surface free energy of CB, in comparison with the influences from the inlet pressure and carrier gas flow rate of the chromatographic column filled with CB. Several kinds of industrial CB were treated at high temperature, and the surface free energy of CB had a significant increase. With the increase of surface free energy, the maximum torque was decreased significantly, the elongation at break tended to increase, the heat generation of vulcanizates was increased, and the wear resistance was decreased.


Author(s):  
Kisook Kim ◽  
Hyohyeon Yoon

The study aimed to identify and compare the factors affecting health-related quality of life (HRQoL) depending on the occupational status of cancer survivors. This study was a secondary data analysis from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2018. Hierarchical multivariate linear regression was used to investigate the factors affecting the HRQoL of each group. Non-working cancer survivors had significantly lower HRQoL than working cancer survivors (p < 0.001). A hierarchical multiple regression model showed that demographic, health-related, and psychological characteristics explained 62.0% of non-working cancer survivors’ HRQoL (F = 4.29, p < 0.001). Among the input variables, health-related characteristics were the most influential factors (ΔR2 = 0.274, F = 9.84, p < 0.001). For working cancer survivors, health-related characteristics were the only variable that was statistically associated with HRQoL (F = 5.556, p < 0.001). It is important to enhance physical activities and manage the chronic disease to improve the HRQoL of working cancer survivors. Further, managing health-related characteristics, including depressive symptoms and suicidal ideation, is necessary for non-working cancer survivors. Regarding working survivors, psychological factors such as depressive symptoms and suicidal tendencies did not affect HRQoL. Therefore, an early and effective return to work program should be developed for the improvement of their HRQoL.


2021 ◽  
Vol 13 (13) ◽  
pp. 7211
Author(s):  
Juan Ramón López Soler ◽  
Panayotis Christidis ◽  
José Manuel Vassallo

Teleworking and online shopping became commonplace during the COVID-19 pandemic and can be expected to maintain a strong presence in the foreseeable future. They can lead to significant changes in mobility patterns and transport demand. It is still unclear, however, how extensive their adoption can be, since each individual has different preferences or constraints. The overall impact on transport depends on which segments of the population will modify their behaviour and on what the substitutes to the current patterns will be. The purpose of this work is to identify the user profiles and spatial aspects that affect the adoption of teleworking and online shopping, and to explore the potential impact on transport demand. To that end, data from an EU-wide survey on mobility were analysed using a Machine Learning methodology. The results suggest that while the take up of the new work and consumption patterns is high on average, there are significant differences among countries and across different socio-economic profiles. Teleworking appears to have a high potential mainly in certain services sectors, affecting commuting patterns predominantly in large urban areas. Online shopping activity is more uniform across the population, although differences among countries and age groups may still be relevant. The findings of this work can be useful for the analysis of policies to encourage the uptake of new technologies in transport and mobility. They can be also a good reference point for future studies on the ex-post analysis of the impacts of the pandemic on mobility.


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