• Journal of Distribution Science
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• v.20 no.5
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• pp.13-22
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• 2022

Purpose: This study aimed to identify factors affecting attitudes and intentions toward online purchasing of millennials and gen z in Indonesia by considering distribution capabilities factors. Research design, data and methodology: This study used a non-probability sampling technique. The questionnaire was distributed through an online platform and obtained 225 respondents. The data acquired from the respondents used SPSS 23 and AMOSS 21 to process the Structural Equation Model (SEM). Results: The results of this study stated that attitudes and intentions toward online purchases were influenced by delivery speed and trust. The results also stated that the perception of web quality positively influenced trust. On the other hand, shipping tracking, people's importance to consumers, and online reviews had no significant effects on online purchasing attitudes. Conclusions: This research has made an essential contribution to increasing and expanding our understanding of factors that affect attitudes and intentions toward online shopping in a developing market, Indonesia. From a practical perspective, this research examined the integrated consumer model of millennials and Gen Z online shopping in Indonesia that considers distribution capability, trust, and perceived website quality factors. Therefore, e-commerce business actors can design e-marketing strategies and programs to achieve the company's long-term goals.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.737-767
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• 2023

With the availability of big customer data and advances in machine learning techniques, the prediction of customer behavior at the session-level has attracted considerable attention from marketing practitioners and scholars. This study aims to predict customer purchase conversion at the session-level by employing customer profile, transaction, and clickstream data. For this purpose, we develop a multimodal deep learning fusion model with dynamic and static features (i.e., DS-fusion). Specifically, we base page views within focal visist and recency, frequency, monetary value, and clumpiness (RFMC) for dynamic and static features, respectively, to comprehensively capture customer characteristics for buying behaviors. Our model with deep learning architectures combines these features for conversion prediction. We validate the proposed model using real-world e-commerce data. The experimental results reveal that our model outperforms unimodal classifiers with each feature and the classical machine learning models with dynamic and static features, including random forest and logistic regression. In this regard, this study sheds light on the promise of the machine learning approach with the complementary method for different modalities in predicting customer behaviors.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.199-216
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• 2024

This research examines the factors influencing consumer purchase intentions in e-commerce live streaming, set against the backdrop of the internet celebrity economy. The investigation serves as a pivotal inquiry into the dynamics of this economy, striving to uncover the extent of internet celebrities' influence, particularly in terms of their economic impact. Employing the Emotional Behavioral Cognitive (ABC) attitude theory and the Stimulus Organism Response (S-O-R) theory as foundational frameworks, this study scrutinizes internet celebrity live streaming sales. It incorporates direct observations and leverages existing scholarly work to devise a tailored measurement scale and questionnaire. From this, a research model and hypotheses are developed, leading to the establishment of an empirical model. This empirical model is instrumental in statistically analyzing how e-commerce live streaming, within the internet celebrity economy context, shapes consumer purchase intentions. By integrating theoretical insights and empirical findings, the research elucidates the strategic dimensions and consumer behavior aspects in digital commerce. It enhances understanding of how internet celebrity influence intersects with consumer purchasing processes. Overall, this study contributes to the academic discourse on digital marketing and consumer behavior, providing a nuanced perspective on the mechanisms through which internet celebrities affect e-commerce. It offers valuable implications for marketers, strategists, and policymakers aiming to navigate the complex landscape of the internet celebrity economy.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.149-158
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• 2016

Recently social commerce has become an issue in E-commerce. It was made in purpose to seek the satisfaction of consumers plan to shop attempts to boost use of social commerce. Social commerce motives and benefits and loss factors are examined the impact of purchase satisfaction. Statistical analysis was performed using the multiple regression analysis. The results were as follows. First, economic incentives and hedonic motivations and opportunistic motivation factor had a significant effect on purchase satisfaction. Second, the benefits are psychological factors and price benefits had a significant effect on purchase satisfaction. Third, the more it feels less sense when using social commerce and economic losses, as used to feel less discomfort were higher purchase satisfaction. Finally, it was confirmed that the greater the relative benefit factors influence than the loss factor. This study is significant in that it provided meaningful data from the viewpoint of a consumer who uses social commerce sites.

• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.70-83
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• 2021

Live-streaming commerce is attracting attention as a noticeable trend in the retail industry. It is a new mobile shopping service platform developed by combining live streaming with e-commerce technologies. This study examined the impact of para-social interactions on consumer impulse buying behavior and investigated the impact through task complexity as well as perceived amount of information. To achieve this goal, 203 women using a mobile commerce participated in an online survey after experiencing beauty live-streaming commerce. The collected data were analyzed using SPSS 25.0, AMOS 23.0, and SPSS PROCESS Macro program. The results of the study revealed that para-social interactions negatively influenced task complexity, positively influenced perceived amounts of information, and positively influenced impulse buying behavior. In addition, impulse buying behavior was negatively influenced by task complexity versus positively that was influenced by perceived amounts of information. The impact of para-social interactions on impulse buying behavior is mediated by task complexity and perceived information. The findings of this study contribute to the theoretical extension of para-social interaction on impulse buying behavior in the context of live-streaming commerce. The implications of the findings suggest practical marketing strategies for digital media commerce retailers.

• Journal of the Korea Safety Management & Science
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• v.5 no.3
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• pp.107-119
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• 2003

Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.

• Journal of Fashion Business
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• v.7 no.6
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• pp.85-91
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• 2003

Quick Response based Mass-Customization can be produced and distributed customized goods and services on mass basis in apparel e-business. Because consumers cannot touch and feel the apparel products in e-business, they tend to have the negative buying behavior. The purposes of this study were to analyze factors of texture image, and to investigate the differences of consumer sensibility on texture image of apparel products based on different marketing channels (on-line/off-line). Two types of questionnaires for on-line and off-line were used to assess consumer sensibility on apparel fabric. The 8 swatches were selected based on the previous literatures. 202 returned questionnaires for each type (on-line/off-line) were analyzed by t-test, mean and standard deviation with SPSS 10.0. The result of this study was showed that there were partially significant differences on consumer sensibility on texture image of apparel products between on-line and off-line. In case of corduroy, consumers perceived more high-class image under on-line than off-line. In case of taffeta, consumers perceived more thin and dense image under off-line (traditional marketing channel) than on-line (e-commerce). In case of denim, consumers perceived more thin and natural image under off-line than online. In case of organza, consumers perceived more natural image under on-line than off-line. In case of satin, consumers perceived more natural image under on-line than off-line. In case of chiffon, consumers perceived denser image under on-line than off-line. In case of velvet, consumers perceived thinner image, higher-class image, and more natural image of texture sensibility under on-line than off-line. In case of single jersey, consumers perceived higher-class image, and denser image of texture under on-line than off-line.

• Journal of Global Scholars of Marketing Science
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• v.9
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• pp.203-219
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• 2002

The purpose of the study is to analyze environmental changes in market, customer and information technology of Internet fashion industry, to present fashion company's current situation and strategy for confronting business environmental changes, and to propose the direction of the future research in this fashion field. First, the importance of Internet has been increased due to the rapid growth in number of Internet user and the size of the e-commerce. Second, to satisfy the customers requiring reasonable price and differentiated product and service, e-Branding strategy implementation, customized service development and enhancement on Web-site credibility and loyalty are demanding in the market. Third, development on the mobile technology and the increase in the Internet user using mobile communication device requires preparing mobile consuming environment, new business platform. Fashion industry's current situation and competitive strategy developed by the environmental change analysis were used for developing future research direction, that is, the m-business, CRM, and e-Branding. Through the understanding of environmental changes in Internet fashion industry and proposed research direction, research on Internet fashion marketing is hoped to be vitalized. Results of this study were expected to be utilized the strategy development.

• International Commerce and Information Review
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• v.9 no.2
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• pp.103-120
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• 2007

The knowledge based economy requires more and more people to learn new knowledge and skills in a timely and effective manner. These needs and new technology such as computer and Internet are fueling a transition in e-learning. According to specialist's opinion, imagination experience studying is generalized, and learning environment that language barrier by studying, multi-language studying Machine that experience past things that disappear through simulation, and travel area, and experience future changed state disappears is forecasting to come. This is previewing finally that it may become future education that education and IT, element of entertainment is combined. Already, became story that argument for party satellite of e-Learning existence passes one season already. e-Learning is utilized already in all educations that we touch by effectiveness by corporation's competitive power improvement and implement of lifelong education in educational institutions through present e-Learning. It is obvious that when see from our viewpoint which is defining e-Learning by one industry and rear by application to education as well as one new growth power about these, e-Learning industry becomes very important means that can solve dilemma of growth real form. Only, special quality of digital industry that e-Learning is being same with other digital industry and repeat putting out a fire rapidly, and is repeating sudden change that these evolution is not gradual growth of accumulation and improvement of technology that is appearing consider need to. In the meantime, we need to observe about evolution of Information Technology. Because there is some scholars who e-Learning's concept foresees to evolve by u-Learning.(although, a person who see that these concept is not more in marketing terminology by some scholars' opinion is). This u-Learning's concept means e-Learning that take advantage of ubiquitous technology as Ubiquitous-Learning's curtailment speech. Ubiquitous, user means Information-Communication surrounding that can connect to network freely regardless of place without feeling network or computer. There is controversy about introduction time regarding these direction, but e-Learning is judged to evolve by u-Learning necessarily. Because keep in step and age that study all contents that learner wants under environment of 3A (any time, any whrer, any device) by individual order thoroughly is foreseen to come in ubiquitous learning environment that approach more festinately.

• International Commerce and Information Review
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• v.1 no.1
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• pp.179-201
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• 1999

CALS/EC is about doing business electronically. It is based on the electronic processing and transmission of data, including text, sound and video. It encompasses many diverse activities including electronic trading of goods and services, online delivery of digital content, electronic fund transfers, electronic share trading, electronic bills of lading, commercial auctions, collaborative design and engineering, online sourcing, public procuremet, direct consumer marketing, and after-sales service. It involves both products(e.g. consumer goods, specialised medical equipment) and services(e.g. information services, financial and legal services); traditional activities(e.g. healthcare, education) and new activities (e.g. virtual malls). CALS/EC will be emerging to replace and substitute the role of the conventional market. By changing and eliminating some processes of the transactions, the electronic market and the electronic commerce will redistribute the power and hence the benefits of the market activities. Traditional way of doing business may enter into the new electronic market because the role and function of trust and established reputation will be reinforced in the electronic market. The CALS/EC through the Internet has been in the spotlight in the shopping behavior of the consumers. Accordingly Corporates are trying to adapt themselves to those rapidly changing environments being affected by the Internet. Among others, particularly to be noted is the CALS/EC between corporations and consumers whose potential growth can be considered very substantial. This report, focusing on the introduction of CALS/EC for the logistics of SMEs, will allow us to prepare more efficiently for the coming 21st Century. It is obvious that CALS/EC is fast becoming the useful way of exchanging not only information but products in business between firm-to-firm and firm-to-customer.