• Journal of Korea Trade
• /
• v.24 no.7
• /
• pp.1-28
• /
• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

• International Journal of Knowledge Content Development & Technology
• /
• v.11 no.1
• /
• pp.85-111
• /
• 2021

This study aims to analyze users' assessment of electronic libraries in the mobile app market and promote service improvement based on this. To this end, the basic background and purpose of the research, research method, and research scope were first set, and the relevant literature and empirical prior studies were analyzed. Next, users' evaluations of electronic libraries were collected and analyzed from Google Play Store. Based on the results analyzed, measures to improve the quality of electronic libraries were discussed. Based on the results of the study, the following improvement measures are proposed. Need for systemic improvement and stabilization. Provision of applications suitable for multi-device environments. Resumption of services after systematic inspection after updating. Simplification of sign up, log in, and authentication procedures. User support through real-time chat. Introduction of a detailed assessment of reviews. Provision of guidance and user manual for electronic libraries. Improvements to expand user convenience, and Securing differentiation from other similar services.

• Journal of Fashion Business
• /
• v.15 no.5
• /
• pp.129-143
• /
• 2011

The purpose of this study is to classify fashion brand app types through current fashion brand app releases. To this end, this study used Internet Web, articles, newspapers, and existing studies on brand applications as well as the data that were analyzed after downloading the relevant brand app. Firstly, this study aimed to analyze rapidly growing smartphone market and brand app market situations and look into brand app's own characteristics from the corporate marketing perspective. In addition, the study divided the types into a basic information type and an additional information type by analyzing functions of 30 fashion brand apps. As the result, the basic information type contains product info, store info, fashion info, and coordination info. The additional information type contains entertainment, hobbies, life info, mutual experiences, and sharing services. According to the divided fashion brand app types, the goals of companies also can be divided as three. Firstly, the aim is to expand sales, secondly to improve brand awareness, and lastly to build customer relationship. Consequently, companies will have to select brand app types suitable for their goals and provide to consumers.

• Proceedings of the Korea Database Society Conference
• /
• 2010.06a
• /
• pp.223-234
• /
• 2010

This study is aimed at proposing a new research model in which application store intention to acceptance influence factors (i.e.. facilitating condition, mobile computing self-efficacy, service compatibility, and system quality) affect TAM (i.e., perceived usefulness and perceived ease of use) positively, leading to application store intention to acceptance eventually. This study developed a research model to explain the use of Apple's App Store, and collected 228 survey responses from the undergraduate students who had experiences with such application store services as game and personal information management application download. To prove the validity of the proposed research model, PLS analysis is applied with valid 228 questionnaires. By employing PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis testing. In brief, the finding of this study suggests that application store intention to acceptance influence factors affect TAM positively, and application store intention to acceptance as well.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.8
• /
• pp.221-227
• /
• 2021

Since there are almost no scales for measuring the size of We-Chat applets, and most of the existing We-Chat applets are grafted through the original APP application, At present, the application scope of We-chat applets which is mainly in /shopping/life/food application. Thus, the purpose of this research is to focus on the iPhone app store, collect data on the top five of APP-STORE through users' comments and The high-frequency words will be obtained for statistics, and the variables of this study will be set up. Last, develop relevant Empirical research on the size and measurement scale of the We-Chat applet. Therefore, how to use We-Chat applets to improve user experience, we can create their own user private domain traffic for We-Chat applets and achieve long-term market competitiveness.

• The Journal of the Convergence on Culture Technology
• /
• v.3 no.1
• /
• pp.35-41
• /
• 2017

Smart phone based IT support programs are faced with difficulties due to the following reasons first, long development period is required as separate developments are necessary respectively depending on the operating system of Smart phone second, it is also difficult to secure high development cost for the outsourcing of the development. It is a big problem for improving app developing productivity. Smart App Factory which is suggested in this thesis is the business strategy to surpass the Android market of Google and App Store of Apple within short period of time based on App productivity of Smart App Authoring Tool and to accomplish the materialization of App market which is in the 1st global position and all potential customers who need programs for their works regardless of budget, scope, complexity and scale will be implemented by unfolding unprecedented low price policy and global online marketing activities for App development.

• The Journal of Industrial Distribution & Business
• /
• v.11 no.7
• /
• pp.51-60
• /
• 2020

Purpose: Recently, Korean cosmetics distribution market has been reorganized with the H&B store. In the domestic cosmetics distribution market, existing brand road shops are decreasing, and multi-shops are leading the H & B stores, which have greatly improved their experience and content. In these environmental changes, the offline distribution channels are turning into the multi-editing shops that have introduced products of various brands and greatly enhanced experiences and contents. Nevertheless, most studies of factors and measurement items for measuring customer experience in the H&B store use Schmitt (1999)'s Strategic Experience Modules (SEMs). Therefore, the purpose of this study is to propose a measure that is practicable through consideration of the in-store customer experience components of the H&B store. Research design, data and methodology: Based on Schmitt's Strategic Experience Modules (SEMs), which are widely used in customer experience marketing, the metric pool was constructed through customer and literature research on H & B store managers. Since then, 101 preliminary surveys and 211 main surveys have been conducted in order to propose a dimension of customer experience and refine the metrics. Results: As a result of the research, H&B store's customer experience was derived from a measurement model consisting of 19 measurement items in total of five dimensions: environmental experience, intellectual experience, behavioral experience, tech experience, and relationship experience. This study analyzed that compared to the existing Schmitt's Strategic Experience Modules (SEMs), (1) emotional experience expanded to environmental experience, (2) Cognitive and relationship experiences are maintained (3) behavioral experience was subdivided into physical and technical experiences. In particular, the environmental experience has been proposed as a major component is an important point because the H&B store recently opened a large flagship store and is competitive in constructing a differentiated space. Conclusions: Related experience was seen as an important component of customer experience in the offline store, but in the process of refining the scale, interaction items with employees of the H&B store were removed, and rather, participation in the APP or SNS channel of the company, event Participation, interaction with other customers, etc. appear to be important, while suggesting the practical implications.

• Journal of Information Technology Services
• /
• v.15 no.3
• /
• pp.195-209
• /
• 2016

IoT (Internet of Things) is a collective term referring to application services that provide information through sensors/devices connected to the internet. The real world application of IoT is expanding fast along with growing number of sensors/devices. However, since IoT application relies on vertical combination of sensors/devices networks, information sharing within IoT services remains unresolved challenge. Consequently, IoT sensors/devices demand high construction and maintenance costs, rendering the creation of new IoT services potentially expensive. One solution is to launch an IoT open market for information sharing similar to that of App Store for smart-phones. Doing so will efficiently allow novel IoT services to emerge across various industries, because developers can purchase licenses to access IoT resources directly via an open market. Sharing IoT resource information through an open market will create an echo-system conducive for easy utilization of resources and communication between IoT service providers, resource owners, and developers. This paper proposes the new business model of IoT open market for information sharing, and the requirements for ensuring security and standardization of open markets.

• Journal of Information Technology Services
• /
• v.12 no.2
• /
• pp.269-289
• /
• 2013

The tremendous advancement of technology sparked a lot of opportunities for developers and consumers to pave way to a dynamic application market in smartphones. This study focuses on the users' perspective, that is, the preference between two application markets that varies in many perspectives of its features. Hence, the purpose of this study is to provide a comparative study on two mobile application stores in smartphones; Google Play and T-Store. A survey was conducted to compare the markets, and the results showed the different influencing factors on choosing and using each application store. In addition, the results somehow revealed the harmony of co-existence in smartphones.

• Journal of Internet Computing and Services
• /
• v.11 no.6
• /
• pp.135-144
• /
• 2010

Apple recently announced a new policy about software development kit that banned the use of tools that convert apps built on other platforms into iPhone apps. Therefore, Adobe cannot develop their software to AppStore that inquire to the Department of Justice and the Federal Trade Commission about antitrust actions. Someone argue that Apple try to exclusive smartphone market such as the Microsoft antitrust lawsuit in 1998, but this case is essentially different. First, it need to define Apple's software development kit for iPhone and iPad is whether antitrust or not. Because of the characteristics of two-sided market in Smartphone Apple's iPhone cannot monopoly in cellphone or smartphone market, but it can be an antitrust in application store market. However, Apple re-announced new software development kit policy that shows positive results. Instead of hastily intervened regulatory agencies, the DOJ or the FTC, it is quite desirable that watching the interaction between companies that whether market failures or not and if it's harmful for consumer's benefit. Adobe attack Apple to advocate consumers and developers freedom of choice, but the most important thing is conclusion based on a comprehensive analysis need to objective point of view that Apple do whether antitrust act or not and damage to developers and consumers who are both side of platform.