Tablets Vs Smartphones: Differences In M-Commerce Application Design

Since the world is moving to the era of mobile Internet computing, the business conducting over the mobile devices became popular. Not only smartphones, but tablet computers also present a variety of new opportunities for business with their technological ability. The research question of this paper is “What are the differences in M-Commerce application between tablet computers and smartphones?”. Three comparison case studies of M-Commerce applications show the differences in the design for tablets and smartphones. The paper contains the introduction, the literature review, the information of current devices in market, the comparisons of M-Commerce applications, the discussions, and conclusions

Added Value-based Approach to Analyze Electronic Commerce and Mobile Commerce Business Models

In this contribution we propose to apply the theory of informational added values (IAV) on electronic commerce (EC) and mobile commerce (MC). We state that for the success of electronic and mobile offers it is not sufficient to merely make a conventional offer available with new media. Instead, the use of electronic and mobile communication technology is only remunerative if it results in obtaining distinct supplementary IAV. This depends on the exploitation of certain faculties of the used technology. For EC, we call these the four electronic added values (EAV): reduction of temporal and certain spatial limitations, reduction of technical limitations, multi-mediality of access and egalitarian access. For MC, we call these the four mobile added values (MAV): ubiquity, contextsensitivity,identifying functions and command and control functions. We can find EAV and MAV as typical properties of EC or MC applications. EAV are the basis for the superiority of Internet applications compared with offline solutions. The relationship between the separate EAV and IAV will be explained and analyzed. Proceeding analogously for mobile applications, we analyze the relationship between MAV and resulting IAV. The outcome is an extension of the theory of informational added values with the concept of electronic and mobile added values. This allows for an application of the theory to both EC and MC in order to analyze and qualitatively evaluate any given business model. For determining its crucial added value we have to identify the EAV/MAV which are capitalized and can deduce the IAV resulting for each party involved. The concept put forward is a suggestion to approach business models, with the focus on typical evaluation criteria for Internet/mobile business models. It is also suitable to compare different business models and to put their added value for the involved parties in a context. In this way, objective criteria are established reducing subjectivity and allowing to make certain predictions. The paper ends with a critical review and the perspective for further research

Analysis of Consumer Confidence on Mobile Commerce in Indonesia

The rapid development of mobile-based information technology, can change an existing business process. Such as loss of distributors in a single chain of business processes. Mobile Commerce industry is getting a good condition to grow. With the decrease in Mobile communication costs, more and more people are using mobile computing devices that can connect to the Internet. There are several m-Commerce applications in Indonesia, namely Lazada, Tokopedia, Buka Lapak, Shoppee and etc. The existence of these applications in Indonesia traders switch to online stores. This study takes three examples of m-Commerce applications in Indonesia with the top three criteria in terms of the best reviews and the highest number of reviews. The results of the sampling application is Lazada, Tokopedia and Buka Lapak. The process of collecting data taken will be analyzed to know about the level of consumer confidence in an m-Commerce application. This is evidenced by a collection of examples of online stores that exist in m-Commerce applications that inform ratings, discount information and existing features. The results obtained from this research is, consumer confidence can be seen from the review feedback that exist in each - each m-Commerce. Many discounts and low prices have no effect on consumer buying interest in the online store. The researcher's suggestion is to reward the most traded buyers with points that can be redeemed for certain goods, discounted goods or subsidized postage

Switching Behaviors of Transportation Services in Mobile Payment Applications

Mobile payment is becoming more and more popular recently. Transportation service in mobile payment applications is regarded as an important way to realize a natural evolution of electronic payment that enables feasible and convenient mobile commerce transactions. As more people are using or begin to use mobile payment, the competition among mobile payment applications based on payment platforms is a typical “winners-take-all.” As such, understanding how mobile payment influences the society, industries, and users’ behaviors is critical for both academics and practitioners. This study addresses two research questions: (1) What are the factors that influence users’ switching behaviors in choosing transportation services in mobile payment application? (2) How do these factors influence users’ switching behavior? This research uses the Push–Pull–Mooring (PPM) framework as the basic framework to investigate the switching behavior. Based on an extensive literature review, accessibility concern and the monetary rewards of alternatives are identified as Push and Pull factors, respectively, whereas inertia and privacy awareness are identified as Mooring factors. A research model has been developed. This research can advance the understanding of formation of switching behavior within the context of transportation services in mobile payment applications and also enrich the PPM framework by identifying specific contextual factors such as privacy awareness and perceived accessibility of transportation services in mobile payment applications. Our study can help companies identify the advantages and disadvantages in keeping existing users and attracting new users

Usability evaluation techniques in mobile commerce applications: A systematic review

Obviously, there are a number of literatures concerning the usability of mobile commerce (m-commerce) applications and related areas, but they do not adequately provide knowledge about usability techniques used in most of the empirical usability evaluation for m-commerce application. Therefore, this paper is aimed at producing the usability techniques frequently used in the aspect of usability evaluation for m-commerce applications. To achieve the stated objective, systematic literature review was employed. Sixty seven papers were downloaded in usability evaluation for m-commerce and related areas; twenty one most relevant studies were selected for review in order to extract the appropriate information. The results from the review shows that heuristic evaluation, formal test and think aloud methods are the most commonly used methods in m-commerce application in comparison to cognitive walkthrough and the informal test methods. Moreover, most of the studies applied control experiment (33.3% of the total studies); other studies that applied case study for usability evaluation are 14.28%. The results from this paper provide additional knowledge to the usability practitioners and research community for the current state and use of usability techniques in m-commerce application

A Deep Learning based Model using Review Associated Feature Extraction Approach for Sentiment Analysis

With the advancement of internet technologies, in the present days, online forums, social media platforms and e-commerce sites have made the product reviews process very easy. There are a lot of mobile applications, websites and forums where consumers used to share and circulate their opinions, experiences, ideas and views regarding products, brands and services. In consequence, online user reviews have become a deciding factor for many consumers prior to purchasing their selected items. The sentiment analysis is a technique to extract sentiments, feelings and insights from customer reviews and public texts. Therefore, plenty of businesses perform sentiment analysis in order to more thoroughly comprehend of their customer opinions and suggestions regarding their products and services. Furthermore, a number of scientific researchers also have a keen interest in classifying customer reviews into a set of labels employing text classification techniques. The objective of the this research work is to develop an approach to extract review associated features using Part-of-Speech (POS) tagging and design a CNN model to classify the reviews' sentiment as positive or negative. In this paper, an approach to extract review associated feature has been presented. Natural Language Processing (NLP) techniques are utilized for data preprocessing to remove uninformative data from reviews. Deep learning model CNN is used for sentiment classification and Amazon mobile reviews dataset is used for the experiment. The proposed model is experimentally evaluated and provides enhanced performance than other models also provides improved accuracy of 97.23% on Amazon mobile review dataset

Analysis of pervasive mobile ad hoc routing protocols

Pervasive computing (also referred to as ubiquitous computing or ambient intelligence) aims to create environments where computers are invisibly and seamlessly integrated and connected into our everyday environment. Pervasive computing and intelligent multimedia technologies are becoming increasingly important, although many potential applications have not yet been fully realized. These key technologies are creating a multimedia revolution that will have significant impact across a wide spectrum of consumer, business, healthcare, and governmental domains. This useful volume provides up-to-date and state-of-the-art coverage of the diverse topics related to pervasive computing and intelligent multimedia technologies. The use of different computational intelligence-based approaches to various problems in pervasive computing are examined, including video streaming, intelligent behavior modeling and control for mobile manipulators, tele-gaming, indexing video summaries for quick video browsing, web service processes, virtual environments, ambient intelligence, and prevention and detection of attacks to ubiquitous databases. Topics and features: -Includes a comprehensive overview, providing a thorough literature review and an outline of the important research challenges -Discusses pervasive computing approaches in the context of intelligent multimedia -Examines virtual reality technology, mobile virtual environments, and the potential use of intelligent multimedia and ubiquitous computing in the hotels of the future -Describes various approaches in ambient intelligence for home health care for the elderly and those suffering from Alzheimer’s disease, for volcano monitoring, and for preventing attacks to ubiquitous databases Investigates issues in web services and situation awareness in pervasive computing environments -Explores wireless network applications, such as mobile agents and e-commerce

Entrepreneurial marketing in the B2C mobile application business: A netnographic study across four expert blogs

This study provides insight into the use of entrepreneurial marketing in the mobile app context, with aim of answering the research question: how can entrepreneurial marketing can be used to affect mobile application adoption and retention? The motivation for the study stems from the lack of research on entrepreneurial marketing in the mobile application context and the scarcity of research on mobile application marketing. A thorough review of studies relating to entrepreneurial marketing, mobile commerce, mobile advertising and mobile applications was conducted in order to establish the theoretical foundations of this study. On the basis of the literature review the I-A-R framework was constructed which explores marketing through customer intelligence, acquisition and retention. Netnography was utilized to study experts across four company blogs. These blogs present North American companies that offer services and/or platforms related to mobile app marketing mainly to small and medium sized enterprises. Due to the large amount of data, the findings were first categorized according to the I-A-R framework, and then a summarized and presented along with a revised framework. The revised framework presents a four stage mobile app marketing process. These stages represent the app developer's approach towards making apps, the development of the app, user acquisition, and user retention. In terms of the research question, the two most important ways that EM can be used in the mobile app context are: creating apps that users have an incentive to share in order to leverage a small marketing budget for user acquisition and establishing relationships as a customer loyalty strategy

Determinants for a generic mobile commerce transformation framework

Current technological advancement has given the necessary impetus for businesses to transform from traditional ways into to mobile business or m-businesses. This transformation has begun from the Internet era, where traditional businesses transformed to e-businesses by taking advantages of the facilities offered by the Internet. Recent development in wireless technology facilitated businesses to move further to m-businesses. Despite the development in the technical domain, it appears that businesses still struggle to comprehend the processes involved in the transformation because a proper framework is yet to evolve. This work-in-progress paper provides a background to such transformation with a method to achieve this transformation

A Systematic Literature Review of Mobile Cloud Computing

Mobile cloud computing (MCC) is a relatively new concept that leverages the combination of cloud technology, mobile computing, and wireless networking to enrich the usability experiences of mobile users. Many fields of application such as mobile health, mobile learning, mobile commerce and mobile entertainment are now taking advantage of MCC technologies. Since MCC is new, there is need to advance research in MCC in order to deepen practice. Currently, what exist are mostly descriptive literature reviews in the area of MCC. In this paper, a systematic literature review (SLR), which offers a structured, methodical, and rigorous approach to the understanding of the trend of research in MCC, and the least and most researched issue is presented. The objective of the study is to provide a credible intellectual guide for upcoming researchers in MCC to help them identify areas in MCC research where they can make the most impact. The SLR was limited to peer-reviewed conference papers and journal articles published from 2002 to 2014. The study reveals that privacy, security and trust in MCC are the least researched, whereas issues of architecture, context awareness and data management have been averagely researched, while issues on operations, end users, service and applications have received a lot of attention in the literature