Mobile Application Market Research Articles

What installed mobile applications tell about their owners and how they affect users’ download behavior

The rapid growth in the mobile application market presents a significant challenge to find interesting and relevant applications for users. An experimental study was conducted through the use of a specifically designed mobile application, on users’ mobile phones. The goals were; first, to learn about the users’ personality and the applications they downloaded to their mobile phones, second to recommend applications to users via notifications through the use of experimental mobile application and learn about user behavior in mobile environment. The question of how the personality features of users affect their compliance to recommendations is explored in this study. It is found that conscientiousness is positively related with accepting recommended applications and being agreeable is related with the preference for the applications of editor’s choice. Furthermore, in this study, applications owned by the user and the composition of applications under categories and their relation with personality features are explored. It is shown that the number of user owned applications and their category differ according to gender and personality. Having similar applications and the number of applications owned under specific categories increase the probability of accepting recommended applications.

Personalized app recommendation based on app permissions

With the development of science and technology, the popularity of smart phones has made exponential growth in mobile phone application market. How to help users to select applications they prefer has become a hot topic in recommendation algorithm. As traditional recommendation algorithms are based on popularity and download, they inadvertently fail to recommend the desirable applications. At the same time, many users tend to pay more attention to permissions of those applications, because of some privacy and security reasons. There are few recommendation algorithms which take account of apps’ permissions, functionalities and users’ interests altogether. Some of them only consider permissions while neglecting the users’ interests, others just perform linear combination of apps’ permissions, functionalities and users’ interests to implement top-N recommendation. In this paper, we devise a recommendation method based on both permissions and functionalities. After demonstrating the correlation of apps’ permissions and users’ interests, we design an app risk score calculating method ARSM based on app-permission bipartite graph model. Furthermore, we propose a novel matrix factorization algorithm MFPF based on users’ interests, apps’ permissions and functionalities to handle personalized app recommendation. We compare our work with some of the state-of-the-art recommendation algorithms, and the results indicate that our work can improve the recommendation accuracy remarkably.

The Increasing Role of Polymers in Advanced Packaging - From Stress Buffer Layers to Wafer Level Underfills and Beyond

With the continued expansion of computing capability and reduction in technology node for advanced logic or memory devices the challenges encountered due to packaging also increase. Driven by Power, Performance and Area requirements of sub 14nm node devices and their associated system architectures, packaging solutions must also enable optimum performance whilst maintaining an affordable approach, especially within the mobile applications market. Due to this, the role of polymers within the integrated system of multi die packaging becomes ever more important. Polymers have become a vital enabler from both a technical and cost reduction viewpoint, where they have a role to play in various position within the integration scheme. Stress buffers layers are common, but we now move into the era of commercialized wafer level underfills, the use of silicone style materials for Chip Scale Packaging (CSP) to enable more flexible interconnects, Temporary Bonding Materials (TBM) compatible with alternative polymer materials, even pushing to the point of TBM compatibility with overmold materials. Even with all this research the thermal aspects of performance computing means we must also seek improved Thermal Interface Materials (TIMs) in addition to all of the afore mentioned materials.

Analysis of the Advantages and Disadvantages of Android and iOS Systems and Converting Applications from Android to iOS Platform and Vice Versa

This paper strives for a better understanding of Android and iOS mobile operating systems, their history and overall development to today, a detailed research of Android and iOS performance, determining their strengths and flaws, and their comparative analysis. The goal is to provide a detailed study of the strengths and weaknesses of Android and iOS platforms and converting applications from Android to iOS platform and vice versa with the aim to increase their usage in the mobile application market, therefore the time and costs needed for development and realization to be significantly reduced, in order to provide application content designed by the Android platform to be usable on the iOS platform and vice versa.

Impact of mobile marketing on passengers’ satisfaction and experience at airports

The availability of new airport applications helps passengers manage their time at airports in an efficient way, inasmuch as these applications provide real-time information. The results of this study confirm the fact that the multifunctionality of the mobile marketing tool favours the effectiveness of the processes carried out by passengers at the airport. The main objectives of this research are to analyse the basic concepts around mobile marketing and mobile applications, and to assess the impact of this tool on the levels of user satisfaction and improvement in the image/perception of airports thanks to the app. This study will help to achieve a better understanding of the interaction between the airport and passengers through the use of smartphones.

Design of Optimized Multimedia Data Streaming Management Using OMDSM over Mobile Networks

Mobility management is an essential challenge for supporting reliable multimedia data streaming over wireless and mobile networks in the Internet of Things (IoT) for location-based mobile marketing applications. The communications among mobile nodes for IoT need to have a seamless handover for delivering high quality multimedia services. The Internet Engineering Task Force (IETF) mobility management schemes are the proposals for handling the routing of IPv6 packets to mobile nodes that have moved away from their home network. However, the standard mobility management scheme cannot prevent packet losses due to longer handover latency. In this article, a new enhanced data streaming route optimization scheme is introduced that uses an optimized Transmission Control Protocol (TCP) realignment algorithm in order to prevent the packet disordering problem whenever the nodes in the IoT environment are communicating with each other. With the proposed scheme, data packets sequence realignment can be prevented, the packet traffic speed can be controlled, and the TCP performance can be improved. The experimental results show that managing the packet order in proposed new scheme remarkably increases the overall TCP performance over mobile networks within the IoT environment thus ensuring the high quality of service (QoS) for multimedia data streaming in location-based mobile marketing applications.

The Importance Performance Analysis of Taiwan Tourism Mobile Marketing

The growing power of the Internet, mobile technology and smart phones has offered new marketing services in tourism industry. Mobile marketing services becomes the most important factor in creating of marketing strategies. This study consider tourism mobile marketing application types in six major aspects: transportation, accommodation, food, tour, community and other, combined with Technology Acceptance Model of usefulness, ease of use and interesting; Analyze of the satisfaction and importance of users by Importance Performance Analysis (IPA). The results showed: user perception of each application in tourism mobile marketing, important susceptibility is higher than satisfaction; ease of use is the most important; real time and correct information are important, but not in good satisfactory, should be in the most need to improve.

APPROACHES TO FORMATION OF METHODOLOGY FOR ASSESSMENT OF EFFECTIVENESS OF MOBILE APPLICATIONS DEVELOPMENT AND IMPLEMENTATION

Substantial human and financial resources are required for designing and market penetration of the mobile application, which implies the necessity of assessment of the effectiveness of this activity for successful operation on the rapidly developing market. The object of this article is formation of a set of the most relevant tools for assessment of effectiveness of mobile applications development and implementation. Special focus is on the study of mobile applications market, its speciality and tendency in Russia; review of methodology for assessment of effectiveness of mobile applications development and implementation is also present. The most appropriate tools for assessment of effectiveness of mobile applications development and implementation are formed in the thesis.

Estimating demand function parameters of mobile applications

ABSTRACTThe vibrant market for mobile applications has raised awareness of several professional and also voluntary software developers. The key question especially for professional developers is how to improve the profit gained with a developed app. Recent research provided evidence on the factors that determine the demand of a mobile app. This paper presents a procedure to estimate demand function parameters that are required for developing pricing, advertising and also product update strategies. More specifically, the procedure estimates an app’s maximal willingness to pay, demand elasticity on price and network value. The procedure is based on the Fulfilled Expectations Cournot Model and requires knowledge about the apps being considered as substitutes to each other. It is applied to a data set consisting of download rank data of Apple iPhone apps.

Typology of mobile marketing and fashion application usage motives

The importance of marketing on mobile platforms as well as mobile commerce is increasing dramatically in fashion industry. The purpose of this study was to categorize mobile fashion marketing strategies and to examine application usage motivations that influence brand attitude, purchase decisions, and post-purchase evaluation. Qualitative research methods, in particular focus-groups and in-depth interviews, were conducted to examine the typology of mobile marketing and fashion application usage motivations. Then, a modified survey was used to quantitatively examine what content consumers expect from fashion applications. Results of the qualitative study indicated that consumers perceive sensory (visual, tactile, auditory), relationship, information and practical marketing strategies through motives. Survey result from 229 consumers revealed four fashion application usage motives: sensory, relationship, information and practical. Based on these motives consumers were segmented into three groups: the experience/relationship-conscious, the product informationconscious, and the lifestyle information-conscious. The product information-conscious group showed higher level of monthly income and clothing expenses but lower level of mobile device usages. Lifestyle information-conscious group and experience/ relationship-conscious group had higher level of attitude, and post-purchase evaluation. It was experience-relationship conscious consumers who spent more time in mobile use. This study shows a better understanding of mobile marketing environment of fashion applications.

Typology of mobile marketing and fashion application usage motives

Typology of mobile marketing and fashion application usage motives

Modeling and analysis for mobile application services: The perspective of mobile network operators

The success of Apple's App Store has motivated many mobile network operators (MNOs) to embrace the application store. However, finding a successful strategy that provides meaningful differentiation in an increasingly competitive mobile application market is a great challenge for MNOs. This research treats the mobile application service as a two-sided market and develops a system dynamics model to understand the diffusion behavior of mobile application services. Choice-based conjoint analysis is used to collect multi-attribute preference data of end-users and developers in order to understand how they select application store service offerings in Taiwan's mobile application market. We found that under the great pressure of application stores offered by mobile platform providers, MNOs have to provide services that directly attract adoption by end-users and developers, because the cross-side network effect is not significant. MNOs need to apply a localization strategy based on their strengths while improving their store service quality by collaborating with third-party IT vendors to persuade developers and end-users to adopt their stores as another “home base”. We conclude that MNOs need to not only fully exploit their resources to sense and seize emerging opportunities, but also reconfigure their resources with respect to market dynamics to rebuild their core competences for sustaining their competitive advantages.

과거행동이 스마트폰 애플리케이션 불법복제 의도에 미치는 영향

모바일 기기의 급속한 확장은 모바일 애플리케이션 프로그램(앱) 시장의 폭발적인 성장을 가져왔다. 하지만 PC 소프트웨어, 동영상, 음원, 등 다른 디지털 컨텐츠와 마찬가지로 모바일 앱의 불법적인 유통이 보편적으로 이루어지고 있다. 본 연구에서는 모바일 앱 불법복제 행동 유발요인을 이해하기 위해서 행위의도에 미치는 요인에 대하여 분석하였다. 본 연구에서는 선행연구 분석을 바탕으로 계획된 행동이론 모형에 목적론적 요인과 과거행동 및 습관 요인을 추가하여 연구모형을 제시하고 수도권 대학생을 대상으로 실증하였다. 주관적 규범을 제외한 태도와 지각된 행동통제력은 행동의도에 영향을 미치는 것으로 나타났다. 과거 PC 소프트웨어 불법복제 경험은 스마트폰 앱 불법복제에 대한 태도, 지각된 행동통제력과 습관에 유의한 영향을 미쳤으며 습관은 행동의도의 중요한 예측변수로 나타났다. 지각된 이익은 태도에 영향을 미쳤으나 법적, 기술적 위험의 영향력은 유의하지 않은 것으로 확인되었다. Due to the expandability of smartphone, the mobile application market is growing explosively. However, as happens in other digital contents markets, piracy of mobile applications is prevalent. This study investigated the effects of behavioral factors on smartphone application piracy. The research model consists of factors from the theory of planned behavior model - subjective norms, attitudes toward piracy and perceptions of behavioral control. In addition, perceived consequences, past behavior and habit was included. The past behavior of PC software piracy was a meaningful predictor of habit, and habit was found to influence significantly the smartphone piracy intention. The result also shows that perceived benefit had significant effect on attitude, but both perceived legal and technical risk were not significantly related to attitude. Implications for research and practice are discussed.

Factors influencing customer engagement into mobile applications

Ability to engage customers is crucial for highly competitive market of mobile applications. Notwithstanding, there is no consensus in scientific literature regarding the determinants of customer engagement in mobile applications. Thus, the aim of this research is to reveal factors driving customer engagement in mobile applications. Theoretical studies on customer engagement in mobile applications and its characteristics are based on comparative and systematic analysis of scientific literature. Empirical research is performed by applying quantitative research – survey. Results of empirical research confirm all three customer engagement dimensions in using mobile applications: emotional, cognitive, and behavioural. Results of regression analysis reveal that customer sociability and technical convenience are the most important factors when considering customer engagement in mobile applications, while customer satisfaction and hedonic factors were insignificant. The manuscript provides some useful practical implications for developers how to increase customer engagement in mobile applications. DOI: http://dx.doi.org/10.5755/j01.ee.27.2.14030

Mobile Marketing: The Influence of Trust and Privacy Concerns on Consumers’ Purchase Intention

<p>The rapid proliferation of mobile phones along with the consumers’ acceptance and usage has created new mobile marketing opportunities to business industry. These new technologies and communication devices emerged as new ways of conducting business known as mobile marketing. Mobile marketing allows consumers to access products and services conveniently. It has become new information and an important channel on how consumers gather, and exchange information that has created a huge potential marketing opportunities for business organizations. This development also offered marketers opportunity to promote their services and attract customers’ anytime and anywhere irrespective of distance. The adoption and effective usage have been hindered by issues that bothered on consumers’ trust and privacy concerns. The study found that consumer privacy risk positively influences mobile electronic marketing negatively. The study also found that consumers’ trust and privacy risk will reduce the perception of risks on intention to use mobile marketing as mobile tools. It was further noted that lack of trust was found to be the major hindering factor on mobile marketing applications. To enhance consumers’ trust and privacy concerns about the use of mobile marketing devices, this study suggests that personalization of services will strengthen mobile marketing among consumers’. The paper is structured into three parts: introduction, literature, a conclusion which entails marketing implications and further suggestion.</p>

Near-Rand: Noise-based Location Obfuscation Based on Random Neighboring Points

In recent years Location-Based Information Systems have increased its popularity in the market of mobile applications, however, due to the ability of smartphones and similar devices to estimate location in real time using GPS or through network providers; it is critical to implement techniques to protect such sensitive information while still make it available to the service provider. This paper presents Near-Rand, a new random noise-based location obfuscation technique. This algorithm generates random points around the real location of the user within a neighbor-size squared area and calculates the n nearest points average to the user's location giving as result an obfuscated point. Compared to Pinwheel, another noise-based obfuscation mechanism, it shows a similar performance against Exponentially Moving Average-based filtering attacks, while being able to use non-uniformly distributions for random points.

Towards Automated Risk Assessment and Mitigation of Mobile Applications

Mobile operating systems, such as Apple’s iOS and Google’s Android, have supported a ballooning market of feature-rich mobile applications. However, helping users understand and mitigate security risks of mobile applications is still an ongoing challenge. While recent work has developed various techniques to reveal suspicious behaviors of mobile applications, there exists little work to answer the following question: are those behaviors necessarily inappropriate ? In this paper, we seek an approach to cope with such a challenge and present a continuous and automated risk assessment framework called RiskMon that uses machine-learned ranking to assess risks incurred by users’ mobile applications, especially Android applications. RiskMon combines users’ coarse expectations and runtime behaviors of trusted applications to generate a risk assessment baseline that captures appropriate behaviors of applications. With the baseline, RiskMon assigns a risk score on every access attempt on sensitive information and ranks applications by their cumulative risk scores. Furthermore, we demonstrate how RiskMon supports risk mitigation with automated permission revocation. We also discuss a proof-of-concept implementation of RiskMon as an extension of the Android mobile platform and provide both system evaluation and usability study of our methodology.

Modular Airless SCR Systems for Large Engines

Globally, emissions legislation for combustion engines is becoming increasingly stringent. With the latest initiatives in the marine and stationary sectors, such as IMO III and EPA Tier 4, demand for exhaust aftertreatment is also growing in the large engine segment, i.e. engines with outputs above 560 kW. Selective Catalytic Reduction (SCR) is a robust and proven method of reliably reducing emissions of oxides of nitrogen (NOx) by wide margins in order to achieve compliance with the stringent limits in force or coming into force. For Tenneco, an established specialist in the design, engineering and manufacture of emissions control systems, including diesel aftertreatment systems for cars, light trucks and onand off-road commercial vehicles, it was a natural evolution to extend the current product range into the large engine segment, based on a newly developed SCR system. The diversity of the technical requirements in the market for engines with outputs above 560 kW is even higher than in the market for off-road machinery and mobile applications where smaller displacement industrial engines are used. It includes two-stroke and fourstroke engines with a wide variety of dif© Xxxxxxx

A Mobile Application Development Tool based on Object Relational Mapping Solution

With the rapid growth of mobile application market for smart device users, an efficient development tool for mobile application software has become important and is essential. In this study, we propose a framework of mobile application development tool using Object Relational Mapping (ORM) solution in front-end domain layer, especially for mobile database-driven application system. The experimental results indicate that the development method using the proposed approach is more efficient compared to the conventional development method.

Regulation of the Mobile Medical Apps in India: Need of the Hour

The Mobile devices and its software applications are in great demand in this era of 21st century due to diverse and manifold perks which it provides to the consumer. In 2012 the number of Medical Application users reached 247 million and the global revenue from mHealth Apps grew possibly to USD 1.3Billion and growing on an upward curve. Medical Apps have emerged as a new tool in the healthcare arena. Medical Apps are nowadays replacing the sedentary techniques for example Patients can schedule appointment with a doctor just with a click from the smartphone by possessing the App instead of going all the way to the clinic and contacting the staff. According to WHO many medical and healthcare professionals the availability of medical apps in mobile context has paved way to new dimensions in health care. Changing landscape and cut throat competition between the app developers and the desire to stay ahead of the curve has created many challenges for the App developers across the globe. Indian App developers should also be proficient in handling Issues related to Content Development. The Indian and European markets are good markets to look at. The underserved rural healthcare market in India is still challenged by healthcare affordability and availability and thus is a strong market for mobile medical applications, especially with the recent penetration of mobile across rural India. Further, the regulatory authority in India is open to mobile medical apps. A framework helps manufacturers focus on implementing a risk-management process beginning with the design function and moving all the way through to the end-of-life phase for a global application.