• Asia pacific journal of information systems
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• v.24 no.4
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• pp.611-635
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• 2014

Information systems (IS) have become ubiquitous and changed every aspect of how people live their lives. While some IS have been successfully adopted and widely used, others have failed to be adopted and crowded out in spite of remarkable progress in technologies. Both the technology acceptance model (TAM) and the IS Success Model (ISSM), among many others, have contributed to explain the reasons of success as well as failure in IS adoption and usage. While the TAM suggests that intention to use and perceived usefulness lead to actual IS usage, the ISSM indicates that information quality, system quality, and service quality affect IS usage and user satisfaction. Upon literature review, however, we found a significant void in theoretical development and its applications that employ either of the two models, and we raise research questions. First of all, in spite of the causal relationship between intention to use and actual usage, in most previous studies, only intention to use was employed as a dependent variable without overt explaining its relationship with actual usage. Moreover, even in a few studies that employed actual IS usage as a dependent variable, the degree of actual usage was measured based on users' perceptual responses to survey questionnaires. However, the measurement of actual usage based on survey responses might not be 'actual' usage in a strict sense that responders' perception may be distorted due to their selective perceptions or stereotypes. By the same token, the degree of system quality that IS users perceive might not be 'real' quality as well. This study seeks to fill this void by measuring the variables of actual usage and system quality using 'fact' data such as system logs and specifications of users' information and communications technology (ICT) devices. More specifically, we propose an integrated research model that bring together the TAM and the ISSM. The integrated model is composed of both the variables that are to be measured using fact as well as survey data. By employing the integrated model, we expect to reveal the difference between real and perceived degree of system quality, and to investigate the relationship between the perception-based measure of intention to use and the fact-based measure of actual usage. Furthermore, we also aim to add empirical findings on the general research question: what factors influence actual IS usage and how? In order to address the research question and to examine the research model, we selected a mobile campus application (MCA). We collected both fact data and survey data. For fact data, we retrieved them from the system logs such information as menu usage counts, user's device performance, display size, and operating system revision version number. At the same time, we conducted a survey among university students who use an MCA, and collected 180 valid responses. A partial least square (PLS) method was employed to validate our research model. Among nine hypotheses developed, we found five were supported while four were not. In detail, the relationships between (1) perceived system quality and perceived usefulness, (2) perceived system quality and perceived intention to use, (3) perceived usefulness and perceived intention to use, (4) quality of device platform and actual IS usage, and (5) perceived intention to use and actual IS usage were found to be significant. In comparison, the relationships between (1) quality of device platform and perceived system quality, (2) quality of device platform and perceived usefulness, (3) quality of device platform and perceived intention to use, and (4) perceived system quality and actual IS usage were not significant. The results of the study reveal notable differences from those of previous studies. First, although perceived intention to use shows a positive effect on actual IS usage, its explanatory power is very weak ($R^2$=0.064). Second, fact-based system quality (quality of user's device platform) shows a direct impact on actual IS usage without the mediating role of intention to use. Lastly, the relationships between perceived system quality (perception-based system quality) and other constructs show completely different results from those between quality of device platform (fact-based system quality) and other constructs. In the post-hoc analysis, IS users' past behavior was additionally included in the research model to further investigate the cause of such a low explanatory power of actual IS usage. The results show that past IS usage has a strong positive effect on current IS usage while intention to use does not have, implying that IS usage has already become a habitual behavior. This study provides the following several implications. First, we verify that fact-based data (i.e., system logs of real usage records) are more likely to reflect IS users' actual usage than perception-based data. In addition, by identifying the direct impact of quality of device platform on actual IS usage (without any mediating roles of attitude or intention), this study triggers further research on other potential factors that may directly influence actual IS usage. Furthermore, the results of the study provide practical strategic implications that organizations equipped with high-quality systems may directly expect high level of system usage.

• KIEAE Journal
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• v.15 no.2
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• pp.103-107
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• 2015

Purpose: Since September 1st, 2013, subjects of the evaluation have been expanded, and the evaluation standard has been detailed to enable Building energy rating system for all buildings. Accordingly, the new evaluation program (ECO2) has been developed, and therefore, apartment applied after September 1st, 2013 were evaluated with the new evaluation program. Therefore, this research suggests the improvement plan to figure out reasons for the evaluation result calculation and to calculate the evaluation results close to the actual energy usage by analyzing and comparing primary energy consumption as a result of the new evaluation program (ECO2) and actual heating energy usage on the same building. Method: When comparing evaluation results of the new evaluation program (ECO2) and actual heating energy usage, the tendency was similar but different. Also when comparing seasonally, the tendency was similar, but the different between actual heating energy usage and primary energy consumption during winter is greater than during spring or fall, and when comparing seasonal electric usage, heating alternatives were used through increased electrical usage during winter compared to during spring or fall. Result: Therefore, when evaluating apartment with the new program (ECO2) in the future, evaluation items relevant to the use of heating alternatives should be added, and the modification factor should be added according to the region. Based on the evaluation results of the research and actual energy usage, the Modification factors of the central part and the southern part were calculated respectively as 0.5 and 0.8.

• The Journal of Information Systems
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• v.21 no.2
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• pp.97-114
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• 2012

Given the rapid growth of social network services (SNS) such as Facebook and Cyworld, it is important to understand SNS users' decision-making processes such as purchasing and continuance intention. Especially, as a number of SNS providers such as Cyworld and Habbo Hotel recognize the sales of digital items as the main source of their profits, it is critical to in-depth understand SNS users' purchasing behaviors. In this regard, this study explores continued usage behaviors and purchase behaviors of digital items in an SNS environment using a longitudinal research method. This paper develops a theoretical model to deeply understand the key drivers of purchase behavior of digital items through constructs prescribed by two established research streams on information systems, namely continuance usage and habitual usage. Moreover, this study examines the effects of actual and ideal self-image congruity on SNS continuance intention and habit. The research model was tested by using survey data collected from 307 users who have experience with Cyworld. The analysis results show that SNS actual usage directly influence purchase behavior of digital items. SNS users' continuance intention and habit are key drivers to enhance the level of actual usage of the SNS. Both actual and ideal self-image congruity play a key role in enhancing continuance usage and habitual usage. The implication of research and discussions provides reference for SNS providers in marketing and IT strategy.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.354-380
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• 2022

This study proposed a novel model to investigate influential factors affecting the intention to continue using increasingly popular food delivery apps (FDAs). The proposed theoretical model is developed and validated to extend traditional technology acceptance and adoption theories by identifying several determinant factors that capture the unique context of FDAs continuous usage. Hypotheses were tested using a partial least square structural equation modeling approach (PLS-SEM) on data collected from 331 actual FDAs users during the COVID-19 pandemic. The results reveal that convenience, perceived compatibility, delivery experience, and online reviews significantly influence the continuous usage of FDAs. The findings also confirm the importance of continuous intention on the actual use of FDAs. The research model of this study explains 65% of variance in continuous intention and 47% in actual use. The insights provided by this study suggest fruitful directions for future research. They can also help FDAs companies, developers and marketers with strategies and tips for further development and growth by ensuring users' continuous usage of these platforms.

• Knowledge Management Research
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• v.9 no.3
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• pp.21-42
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• 2008

As many companies have recognized the importance of Knowledge Management(KM), they have invested lots of their resources in developing and deploying Knowledge Management Systems(KMS) to organize and share knowledge. When they implemented KMS in their organizations, most of them had high expectations about KMS at tile beginning. However, as time passed, its usage was rapidly declined. There have been many attempts to increase its usage. Many research works have tried to find solutions from users and organizations viewpoints, instead of the actual usage data itself. In order to assess the usage level of KMS, they have normally utilized user's attitudes toward KMS by assuming that user attitudes have strong relationship with actual uses of KMS. The purpose of this study is to assess tile impacts of user, organizational, and job characteristics on the satisfaction and the usage levels of KMS. Unlike other studies, this study is to explore impact factors which affect the usage level of KMS in organizations by using actual KMS log data as well as user's attitudes.

• Korean Management Science Review
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• v.27 no.2
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• pp.31-44
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• 2010

It is very important to forecast demand and determine the optimal procurement quantities of spare parts. The Army has been forecasting demand not with actual usage of spare parts but with request quantities. However, the Army could not purchase all of forecasted demand quantities due to budget limit. Thus, the procurement quantities depend on the item managers' intuition and their meetings. The system currently used contains many problems. This study suggests a new determination procedure; 1) forecasting demand method based on actual usage, 2) determining procurement method through LP model with budge and other constraints. The newly determined quantities of spare parts is verified in the simulation model, that represents the real operational and maintenance situation to measure the operational availability. The result shows that the new forecasting method with actual usage improves the operational availability. Also, the procurement determination with LP improves the operational availability as well.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.901-913
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• 2021

This study examines the factors that influence the actual usage of mobile shopping applications among Generation Y (Gen Y) users in Thailand, determined by behavioral intention, compatibility, perceived cost, perceived ease-of-use, perceived usefulness, perceived risk, and personal innovativeness. The researcher carried out the analysis based on a quantitative approach and used a non-probability sampling as the convenience sampling tool. A total of 502 Gen Y respondents who experienced using the top-four ranking mobile shopping applications in Thailand were invited to participate in the study. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used to analyze the model fit, reliability, and validity of the variables. The primary result revealed that perceived usefulness has the strongest positive significant effect on behavioral intention, followed by personal innovativeness and compatibility. Conversely, the perceived cost has a significant negative influence on behavioral intention. Besides, perceived ease-of-use has a significant positive effect on perceived usefulness. The direct relationship between perceived usefulness and behavioral intention is, however, insignificant. Similarly, the result showed no effect of perceived risk towards behavioral intention. Finally, the result also revealed that behavioral intention determined the actual usage of mobile shopping applications of Gen Y users in Thailand.

• 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.

• The Journal of Information Systems
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• v.25 no.3
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• pp.61-90
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• 2016

Purpose Recently the usage of Mobile Instant Messenger(MIM) has been increased all over the world. With the development of Mobile Internet, a large amount of mobile application came into being, such as WeChat, the most popular MIM now in China. It has a huge number of registered users, but just only half of them are the "active users". This study intends to examine what factors affect MIM user's continuance intention and actual usage behavior. Design/Methodology/Approach Based on the framework of Perception/Emotion-Behavior and the extended ECM-ISC (Expectation Confirmation Model of IS Continuance), this research introduced some unique variables to a user satisfaction model focusing on perceived/emotional factors in WeChat. In this model, perceived/emotional factors have been divided into enabler factors and inhibitor factors to analyze the effect on continuance intention and actual usage behavior. Also, the moderate effect of the habits was discussed. An online questionnaire survey of 203 WeChat users was conducted and the empirical validation was employed to test the research model. Findings From the empirical results, perceived usefulness, expectation confirmation, and needs for affiliation significantly affected satisfaction. Also, satisfaction influenced continuance intention which led to actual usage behavior. We found that the habit moderates the relationship between satisfaction and continuance intention. The result of this study provides guidance to the developers and operators of WeChat on how to improve enhance users' satisfaction and loyalty.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.27-38
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• 2008

Since the current mobile web market is already in its maturity, a research concerning the continued behavior of mobile Internet users should be carried out. The purpose of this research is to understand user's continued behaviors by theoretically constructing and empirically testing a continued model using real usage data. The model consists of four post-expectation factors (usefulness, ease of use, enjoyment, and perceived value) as well as user satisfaction, continuance intention, and the actual usage amount. To test the model, an on-line survey had been conducted, and we collected the actual usage data of survey respondents via the support of telecommunication companies. The study results indicate that post expectation variables were found to influence satisfaction, continuance intention, and actual usage amount of mobile web users. This paper ends with study limitations and implications on mobile web industry.