• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1129-1136
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• 2020

This study investigates the factors influencing the usage of PSAU Mobile Application by the students at Prince Sattam bin Abdulaziz University (PSAU). This study used Technology Acceptance Model (TAM) as a framework to predict the factors influencing 67 students' usage of PSAU M-Application. The results of this study were consistent with the TAM framework in predicting the actual usage of the PSAU mobile application for academic activities. The results indicated a significantly positive association of the perceived ease-to-use with perceived usefulness, significantly positive associations of the perceived ease-to-use and the perceived usefulness with the attitude toward the usage of the PSAU's mobile application, a significantly positive association of the perceived usefulness with the behavioral intention toward the usage of the PSAU's mobile application, a significantly positive association of the students' attitude toward the usage of the PSAU's mobile application with the behavioral intention of using the application, and a significantly positive association of the behavioral intention with the actual usage of the PSAU's mobile application. The results of this study should be useful to educational policymakers at PSAU University and elsewhere, as there is an opportunity to enhance the existing technology or adopt new technologies for academic activities.

• MALSORI
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• no.58
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• pp.101-117
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• 2006

The development of efficient multimodal interfaces and fusion algorithms requires knowledge of usage patterns that show how people use multiple modalities. We analyzed multimodal usage patterns for TV-guide application scenarios (or tasks). In order to collect usage patterns, we implemented a multimodal usage pattern collection system having two input modalities: speech and touch-gesture. Fifty-four subjects participated in our study. Analysis of the collected usage patterns shows a positive correlation between the task type and multimodal usage patterns. In addition, we analyzed the timing between speech-utterances and their corresponding touch-gestures that shows the touch-gesture occurring time interval relative to the duration of speech utterance. We believe that, for developing efficient multimodal fusion algorithms on an application, the multimodal usage pattern analysis for the given application, similar to our work for TV guide application, have to be done in advance.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.41-60
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• 2011

Due to the explosive growth of smartphone use, new type and format of business opportunity is being created. Despite the creation of added value using smartphone is very important, the past study on smart phone has been mainly focused on its functions and specifications. This study is intended to identify the factors that influence continuance usage intention of smartphone and to analyze the relationship between such factors and the expected confirmation. satisfaction, and usage intention. The result of this empirical study indicates that the perceived enjoyfulness and quality significantly affect users' expected confirmation and satisfaction, and social influence also affects users' continuance usage intention. Thus, it implies users place a high value on enjoyfulness and quality in using smartphone application and on social influence in choosing specific application. Finally this paper provides a detailed account of how customers accept smartphone application and their perceived characteristics affect the usage intention.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.9
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• pp.2272-2279
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• 2014

Mobile applications are software systems running on handheld devices, such as smartphones, PDAs, tablets and so on. The market of mobile application has rapidly expanded in the past few years. In this paper, we present a novel approach to track smartphone application usage from a event logs on the mobile device and analyzed both on client system and usage analysis server. We implemented our client system on Android device based usage analytics platform. Based on the analysis server system, we obtained over 47,000 user base, and we get the user's app usage informations on realtime. In this paper, we describe a large scale deployment-based research for a smartphone usage patterns and usage information visualization techniques.

• Information Systems Review
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• v.21 no.2
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• pp.91-115
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• 2019

The updates in the mobile application market have been widely used as strategic marketing tools. It has been used to (i) improve the visibility of an application, (ii) enhance the value of an applicationand strengthen the loyalty of current users, and (iii) expand the market by adding additional features or functions. A number of studies and anecdotal evidence have highlighted the importance of these updates in the mobile application market. However, not all updates in the mobile application market have been successful. Snapchat, for instance, lost 3 million users in three months after it rolled out a major update in November 2017. In this study, we investigate the impact of updates on the usage patterns of users in the mobile application market using MAU (Monthly Active Users), usage frequency, and usage time that we collected from a company that provides mobile application usage statistics.

• Information Systems Review
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• v.16 no.1
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• pp.73-88
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• 2014

According to the widespread use of smartphone, various and abundant mobile applications have been used and lots of new companies have developed mobile applications. To revitalize mobile application market, a lot of research and experiments have been performed in application development and delivery industries. The purpose of this research is to figure out the usage pattern of smartphone application and purchasing criteria of mobile application. We categorized smartphone application users with respect to application selection criteria and examined the characteristics of the categorized users. As a result, the factors of purchasing criteria of the users with respect to smartphone application selection criteria and application type were categorized into 3 groups: aggressive usage group, middle usage group, and passive usage group. The result of this study indicates that the relationship between purchasing criteria and usage pattern in mobile application market was actualized by measuring the purchasing factors of user. Therefore this fact suggests that it is very important to measure the accurate purchasing factors of its user for setting up the marketing strategy of mobile application market.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.135-143
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• 2016

The purpose of this study is to investigate the user's attitude and usage of smart banking application in terms of user's benefits and personalization. While the prior researches on mobile banking adoption focus on the characteristics of service itself, this paper intends to investigate the smart banking application in terms of user's benefits, which are personal value consumers attach to the product or service attributes. Based on prior studies functional benefits, social benefits, experiential benefits, and personalization are identified as affecting factors of the user's attitude and usage of smart banking application. According to the results of multiple regression analysis, all benefit factors(functional benefit, experimental benefit, social benefit) and personalization were found to be significantly related to the user's attitude. Users' attitude on smart banking was found to be significantly related to the real usage as well. This paper has value in that it investigates the attitude and usage of smart banking in terms of benefits.

• Korean Journal of Computational Design and Engineering
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• v.18 no.6
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• pp.451-460
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• 2013

This paper presents the necessary elements and data flow in developing a monitoring system of energy usage for apartment houses with a Smart TV. Energy consumption data in each home are collected and analyzed in the HUB station by way of measuring instruments. And the amount of energy usage, such as electricity, gas, hot water, heating, water and other utilities are displayed through the Smart TV application. Energy consumption Database in the HUB station are processed and displayed in the browser of a Smart TV through XML, JAVASCRIPT and Flash. Smart TV users can get the energy consumption status through the energy consumption analysis display of the Smart TV application and improve the energy efficiency by comparing the usage patterns with neighboring houses. And the application display energy usage information, consumption ranking, rates to user as well. Furthermore, usage of last month or year can be compared to help to reduce the energy usage. The proposed system can provide the information about the amount of energy use to be reduced and the warning on the waste of energy.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.16-22
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• 2016

This paper addresses the load usage scheduling in the HEMS for residential power consumers. The HEMS would lead the residential users to change their power usage, so as to minimize the cost in response to external information such as a time-varying electricity price, the outside temperature. However, there may be a consumer's inconvenience in the change of the power usage. In order to improve this, it is required to understand the pattern of load usage according to the external information. Therefore, this paper suggests a methodology to model the load usage pattern, which classifies home appliances according to external information affecting the load usage and models the usage pattern for each appliance based on a copula function representing the correlation between variables. The modeled pattern would be reflected as a constraint condition for an optimal load usage scheduling problem in HEMS. To explain an application of the methodology, a case study is performed on an electrical water heater (EWH) and an optimal load usage scheduling for EHW is performed based on the branch-and-bound method. From the case study, it is shown that the load usage pattern can contribute to an efficient power consumption.

• The Research Journal of the Costume Culture
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• v.24 no.4
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• pp.483-497
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• 2016

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 information-conscious, 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.