E Commerce

Internet banking is one of many specific Internet applications which has a lot of potential customers. However, at the moment, the lower number of Internet banking customers than was predicted may be the result of customers' lack of trust in Internet banking systems. This research investigated offline and online factors which may have effect on customer trust in three stages

This research investigates eBay auction features that influence auction outcomes: likelihood of transaction or whether the item was actually sold in the auction (auction success) and value of the last bid (auction effectiveness). Specifically, we study several seller options available to the seller to increase the final price and successful end to the auction. We investigate the effectiveness of the term "New In Box" in the auction's heading, the use of an actual or cut picture, the initial price set by the seller, use of a reserve price and acceptance of a credit card in increasing the likelihood of the auction ending successfully, and at increasing the final price. Along with other independent variables, the impact of factors dealing with the auction pictures is examined. Hundreds of auctions (423) for two financial calculators were examined in this study. Findings show that utilization of certain risk-reducing auction features positively influence outcomes of these ...

This study focuses on the events surrounding the rise and fall of the infamous pop culture event known as “Fyre Festival.” The festival, which was hosted by a team of first-time festival organizers and promoted by a large number of social media influencers, ended in disaster when festival goers were stranded on an island in the Bahamas without proper access to food, water and shelter. The event was widely discussed on social media and resulted in the Fyre company to close. The results can be used to apply a new perspective on marketing, public relations, technology, the tourism industry and more. A timeline, background information, evaluation and key takeaways are included in this study. The use of Salesforce's Marketing Cloud Social Studio social listening technology was deployed to analyze the level of social buzz surrounding this event from start to finish. Information was pooled from more than 624,000 social media postings to analyze Fyre Festival’s timeline with social medi...

XML is a technology that has been widely adopted for data exchange, particularly in Web and e-commerce applications. This paper proposes the use of XML also for network packet processing. It presents some XML-based languages for data exchange and it identifies some examples in which XML can enable a new, modular design of network applications while maintaining the required high processing efficiency. These technologies have been implemented in the NetBee library, which provides an excellent way to give an insight of the performance obtainable with the proposed approach.

Notary is one of the authorities who as a public officer has task to make authentic legal documents as perfect evidences. ln today's era of globalization challenges, notaries are required to follow recent development in electronic transactions. According to ITE law, documents in electronic transactions are valid evidences. Nonetheless, electronic deed cannot be proposed as perfect evidence because it still needs additional evidences, judge considerations, etc. It is argued that the verification status of electronic documents does not make equal with the verification status of authentic legal documents; it is categorized equal merely with informal legal documents. Therefore, there is the need to make necessary laws or to amend the ITE law and Law No. 30/2004 on Notary.

With the massive number of e-Commerce and websites becoming the target of hackers’ attacks in recent years, threats that are commonly targeting web applications include SQL Injection and data theft. Designing, establishing, and implementing MySQL data security on e-Commerce with AES 256 Algorithm have become one solution of overcoming the issue. In addition, it is also used to avoid Kripanalisis Cryptanalysis to read the encryption pattern in finding the key. The result expected is to establish a more secure data of e-Commerce from the hackers’ attacks and data theft from the business competitors.

The use of social media for business purposes has been growing exponentially due to its great potential as an effective marketing tool. Nonetheless, studies which assess how effective social media can be as a persuasive technology are limited, especially in the context of developing countries. Therefore, this study attempts to evaluate the perceived impact of social media as a persuasive technology for businesses in Malaysia. To accomplish this, a questionnaire survey was conducted with 1,196 social media users. Geographical clustering sampling was used, together with simple random sampling to select participants for the survey, which was based in five regions in Malaysia. The outcome of the survey shows that social media can have a significant impact on business and that the majority of social media users perceive that social media content can indeed persuade people to purchase products or services offered. Furthermore, it was found that social media content can also significantly ...

Local food production is becoming increasingly popular in developed post-modern economies. Attention has been directed to developing such forms of food supply by adapting information connectivity. A case study of a local food network in Norway indicates that local food supply paradoxically attempts to mimic the dominant industrialised modes of food production. It is suggested that the fact that local food supply is “personal” and associated with close proximity makes it more closely resemble service supply chains. Applying contingency theory, a conceptual model is developed that indicates how the local food supply must take into consideration the degree to which customer value is associated with tailoring food supply. The high need for tailored local food production implies that information connectivity should support mutual adaptation while, in cases of less need for tailoring information, connectivity should seek automation. Local food production is always a hybrid of these approa...

This paper reports on the design and deployment of an online course which merges e-marketing theory and development of systems to facilitate e-marketing strategies. This course is taken by marketing majors at a mid-sized university. This course has the overall objective of delivering hands-on technology skills to the marketing major.

e-Commerce companies acknowledge that customers are their most important asset and that it is imperative to estimate the potential value of this asset. In conventional marketing, one of the widely accepted methods for evaluating customer value uses models known as Customer Lifetime Value (CLV). However, these existing models suffer from two major shortcomings: They either do not take into account significant attributes of customer behavior unique to e-Commerce, or they do not provide a method for generating specific models from the large body of relevant historical data that can be easily collected in e-Commerce sites. This paper describes a general modeling approach, based on Markov Chain Models, for calculating customer value in the e-Commerce domain. This approach extends existing CLV models, by taking into account a new set of variables required for evaluating customers value in an e-Commerce environment. In addition, we describe how data-mining algorithms can aid in deriving such a model, thereby taking advantage of the historical customer data available in such environments. We then present an application of this modeling approach—the creation of a model for online auctions—one of the fastest-growing and most lucrative types of e-Commerce. The article also describes a case study, which demonstrates how our model provides more accurate predictions than existing conventional CLV models regarding the future income generated by customers.

Trust is a vital relationship concept that needs further conceptual analysis, not just empirical testing. Trust has been defined in so many ways by so many different researchers across disciplines that a typology of the various types of trust is sorely needed. This paper ...

Recently, the web is becoming an important part of people’s life. The web is a very good place to run successful businesses. Selling products or services online plays an important role in the success of businesses that have a physical presence, like a retail business. Therefore, it is important to have a successful website to serve as a sales and marketing tool. One of the effective used technologies for that purpose is data mining. Data mining is the process of extracting interesting patterns from large databases. Web mining is the usage of data mining techniques to extract interesting information from web data. This paper presents the three components of web mining: web usage mining, web structure mining and web content mining and the main data preprocessing tasks for web usage mining.

Recently, the web is becoming an important part of people’s life. The web is a very good place to run successful businesses. Selling products or services online plays an important role in the success of businesses that have a physical presence, like a retail business. Therefore, it is important to have a successful website to serve as a sales and marketing tool. One of the effective used technologies for that purpose is data mining. Data mining is the process of extracting interesting patterns from large databases. Web mining is the usage of data mining techniques to extract interesting information from web data. This paper presents the three components of web mining: web usage mining, web structure mining and web content mining and the main data preprocessing tasks for web usage mining

A crucial success factor in e-com- merce is the development of an appealing, effective, and efficient Web site. Web de- velopment is evolving constantly with new tools, approaches, and methodologies. This editorial explores Web development trends and issues and discusses the gap between research and practice that exists in this domain. The perspective from the field is provided by Dr.

This field study investigates how the relational structure of business-to-business (B2B) e-commerce relationships affects perceptions of conflict, power, and success in e-commerce relationships. Data from interviews with employees in 82 U.S. organizations reveal that employees in community-oriented B2B structures perceive themselves as experiencing more process conflict than do employees in buyer/supplier-oriented structures. Also, employees in community-oriented B2B structures perceive more organizational power. Furthermore, the B2B e-commerce relational structure was found to moderate the relationship between perceived organizational power and the number of reported conflict incidents. Specifically, in buyer/supplier structures, power differences were associated with low conflict and in community-oriented structures power differences were associated with high levels of conflict.

The literature on understanding the role of ecommerce in business to business sales strategies is limited and largely anecdotal. Very few studies have empirically explored the role of e-commerce in business to business sales strategy. This research develops a normative theoretical model that provides insight into the role that e-commerce plays in an organization's business to business sales strategy and looks to test some of the hypothesized relationships using both qualitative and quantitative research methods.

Trust is viewed as a crucial factor in social commerce due to the prominent role and significant amount of peer-generated contents. The current study aims to investigate the relationship between trust in social commerce and customers' purchase intentions by providing a mechanism to describe this relationship. Thus, a proposed model is developed based on three concepts: social presence, social commerce information seeking and familiarity with the platform. The model explains the mechanisms through which social commerce information seeking, familiarity, social presence and trust influence customers' intentions to purchase from social commerce platforms. For the purpose of this study, a survey is designed and distributed to Facebook users. The findings demonstrate that trust in a social networking site has positive influence on purchase intentions. Moreover, trust encourages information seeking, which in turn improves purchase intentions. Furthermore, both social presence and f...

ABSTRACT The rapid growth of emerging technologies and Internet has moved the world towards an e-world where most of the things are digitized and available on a mouse click. Most of the commercial transactions are performed on Internet with the help of on-line shopping. The huge amount of data puts an extra overload to the user in performing on-line task. Recommender Systems are being used widely to reduce this extra overload and recommend the scrutinized product to the customers. Several data mining techniques are frequently being used for recommendation technology to enhance the online business, amongst which Collaborative filtering, Association rules and web mining are on top . In this paper we try to give an overview of these recommendation techniques with suitable examples and illustrative diagrams, and change of trends in recommender systems. Also the SWOT analysis is discussed for these technologies that give an idea about the respective effects of these systems on business strategies. Various diagrammatic representations are illustrated. And finally we conclude that there is a need of an extra effort to overcome the limitations in existing technology also the aspects of these technology to be used as a business strategy are discussed.

Understanding customer sentiments is of paramount importance in marketing strategies today. Not only will it give companies an insight as to how customers perceive their products and/or services, but it will also give them an idea on how to improve their offers. This paper attempts to understand the correlation of different variables in customer reviews on a women clothing e-commerce, and to classify each review whether it recommends the reviewed product or not and whether it consists of positive, negative, or neutral sentiment. To achieve these goals, we employed univariate and multivariate analyses on dataset features except for review titles and review texts, and we implemented a bidirectional recurrent neural network (RNN) with long-short term memory unit (LSTM) for recommendation and sentiment classification. Results have shown that a recommendation is a strong indicator of a positive sentiment score, and vice-versa. On the other hand, ratings in product reviews are fuzzy indic...

In this study, we propose and test a conceptual model, representing the hedonic–utilitarian dual mediation hypothesis, in which both cognition and emotions are combined to help understand individual behavior in an online environment. Beyond what cognitive models offer, our results show that both cognitive and emotional responses play a key role in communication through websites and that the hedonic–utilitarian dual mediation hypothesis is the best fitting model in comparison with the four alternatives tested. Moreover, attitude is treated as a bi-dimensional construct made up of a hedonic and a utilitarian component. Based on this, an additional contribution concerns the correspondence that exists between consumer cognition and the utilitarian dimension of attitude, as well as the emotions expressed by subjects and the hedonic dimension of attitude. The relative importance of each dimension of attitudes can provide marketers in e-commerce settings with insights about whether to introduce more emotional appeals or more cognitive stimuli when communicating through their websites.