This study investigates the determinant factors influencing consumers' intention to choose an e-commerce platform (online shop) through the lens of an extended Theory of Planned Behavior (TPB) approach. By examini...
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ISBN:
(纸本)9798400710742
This study investigates the determinant factors influencing consumers' intention to choose an e-commerce platform (online shop) through the lens of an extended Theory of Planned Behavior (TPB) approach. By examining key elements such as service quality, user interface design, customer support, transparency, personalization, and security measures, the research provides a comprehensive understanding of how these factors contribute to consumer behavior in the online shopping environment. The findings underscore the critical role of service quality in shaping consumer intentions, highlighting the need for online shopping platforms to prioritize and continuously enhance their service offerings. Additionally, the study emphasizes the importance of a user-friendly interface, responsive customer support, transparency in communication, personalized experiences, and robust security measures in fostering consumer trust and satisfaction. These insights offer practical recommendations for e-commerce platforms to improve their service quality, ultimately leading to increased consumer engagement and loyalty. The research concludes that a focus on delivering exceptional service quality, coupled with informed consumer decision-making, can significantly enhance the overall online shopping experience, benefiting both consumers and platform providers.
Abstract: With the development of Internet technology and the popularization of mobile devices and so on, e-commerce has entered a period of high-speed development, consumers are faced with a wealth of channel choices...
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ISBN:
(纸本)9798400710742
Abstract: With the development of Internet technology and the popularization of mobile devices and so on, e-commerce has entered a period of high-speed development, consumers are faced with a wealth of channel choices, and the competition for traffic in different channels is becoming more and more intense, which poses a great challenge to enterprises. From the perspective of PPM theoretical model to study the consumers' migration intention of different online channels, using SPSS software and Amos to construct structural equations for the influencing factors of consumers' migration intention of different online channels, the results show that the push force and pull force positively affect the consumers' migration intention, and the push force has the greatest influence on the consumers' migration intention. It provides a basis for the live e-commerce platform to propose measures to enhance user channel stickiness.
Non-conformance cost is one of the key performance indicators in determining the success of executing a project. This study will substantiate the significance of two consecutive fiscal years of non-conformance cost da...
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Increasing energy demands globally have accelerated the development of renewable technologies including solar photovoltaics (PV). However, this development has unavoidably led to the emergence of significant volumes P...
Increasing energy demands globally have accelerated the development of renewable technologies including solar photovoltaics (PV). However, this development has unavoidably led to the emergence of significant volumes PV waste considering 20–30 years life span before End of Life (EOL). The standard decision makers practices for PV EOL are disposal to the landfill, recycling, or reuse. Due to complexity of the decision environment, this study aims to analyze and rank solar PV disposition alternative using Analytic Hierarchy Process (AHP) based on five main criteria including environmental, economic, social, policy and legislation and technical. AHP Aggregating Individual Priorities (AIP) aggregation method was utilized to evaluate the overall perspective of all the study participant. In addition, individual stakeholder group decision was assessed individually to understand potential different EOL disposition perspective from different stakeholder group. The findings of the analysis shows that the overall ranking of the alternatives based on the main criteria is leaning toward recycling compared to other alternatives. However, there is a variation in the decision between individual stakeholder group.
This study uses a conjoint analysis approach to determine the key factors influencing subscriber preferences for subscribing to Netflix plan. In a rapidly evolving industry, understanding the drivers of subscription c...
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ISBN:
(数字)9798350386097
ISBN:
(纸本)9798350386103
This study uses a conjoint analysis approach to determine the key factors influencing subscriber preferences for subscribing to Netflix plan. In a rapidly evolving industry, understanding the drivers of subscription choices is critical for market success. Through a designed survey, respondents are presented with different hypothetical Netflix subscription plans characterized by attributes such as price, resolution, same time watch device, downloadable device and device specs. By analyzing respondents’ answers from these attributes, researchers aim to find out the relatedness of each attribute and levels with the subscription preference. The study’s findings can help Netflix make more strategic decisions about plan options and pricing policies, so that it can better serve the wide range of demands and tastes of customers in the cutthroat streaming market.
Global energy consumption has increased over the years due to population growth, economic expansion, and the pursuit of a higher quality of life. The building sector is a critical sector for high consumption, contribu...
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The Centrifugal Nuclear Thermal Rocket (CNTR) is a Nuclear Thermal Propulsion (NTP) concept designed to heat propellant directly by the reactor fuel. The primary difference between the CNTR concept and traditional NTP...
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Presently,customer retention is essential for reducing customer churn in telecommunication *** churn prediction(CCP)is important to predict the possibility of customer retention in the quality of *** risks of customer...
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Presently,customer retention is essential for reducing customer churn in telecommunication *** churn prediction(CCP)is important to predict the possibility of customer retention in the quality of *** risks of customer churn also get essential,the rise of machine learning(ML)models can be employed to investigate the characteristics of customer ***,deep learning(DL)models help in prediction of the customer behavior based characteristic *** the DL models necessitate hyperparameter modelling and effort,the process is difficult for research communities and business *** this view,this study designs an optimal deep canonically correlated autoencoder based prediction(ODCCAEP)model for competitive customer dependent application *** addition,the O-DCCAEP method purposes for determining the churning nature of the *** O-DCCAEP technique encompasses preprocessing,classification,and hyperparameter ***,the DCCAE model is employed to classify the churners or ***,the hyperparameter optimization of the DCCAE technique occurs utilizing the deer hunting optimization algorithm(DHOA).The experimental evaluation of the O-DCCAEP technique is carried out against an own dataset and the outcomes highlighted the betterment of the presented O-DCCAEP approach on existing approaches.
The COVID-19 pandemic is undoubtedly causing new habits that will affect several sectors around the world. The hotel business has taken a significant impact as a result of the physical distance regulation. Although nu...
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Measuring the rate of innovation in academia and industry is fundamental to monitoring the efficiency and competitiveness of the knowledge economy. To this end, a disruption index (CD) was recently developed and appli...
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