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Inter- and intra-individual usage differences may emerge over time in the process of new information systems and technology (IS/IT) implementation. While acknowledging the importance of team characteristics for spurring innovation at an early-stage of IS/IT diffusion, we do not have concrete evidence of whether the influence of the social context at an earlystage of new IS/IT implementation may allow inter-individual usage heterogeneities last for a longer period of time. We identified the impact of two social contexts on individuals’ usage over time: 1) their team’s usage at the early- stage (first four weeks) of the implementation, and 2) the early-stage usage of the within-team innovator (WI) ̶ the individual with the highest level of early-stage usage in the team. We collected IS usage data of 504 individuals in 43 teams for fourteen weeks. We found that team usage and WI usage at the early-stage of new IS/IT implementation create assimilation gaps in usage across users, which could not be overcome through experiential learning within the study timespan. However, the impacts of the team characteristics tend to decay as the time passes. Individuals with low team usage and low WI usage tend to have a higher experiential learning speed and are less likely to deaccelerate their learning speed over time, which may help narrow the gaps over the time period. This study contributes to understanding of how team characteristics at the early-stage of new IS/IT implementation can influence individuals’ usage over time.

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 meas- ure 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 (R2 = 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.

This study focuses on the adoption of Healthcare Information System (HIS) in India’s healthcare services, which has led to an increased use of HIS software for managing patient information in hospitals. The study aims to evaluate the factors that influence hospital workers’ satisfaction with HIS usage and its impact on their intention to continue in the use of HIS. Primary data was collected through a survey questionnaire from 265 hospital workers. A new framework was developed, and Structural Equation Modeling (SEM) was used for analysis. Sensitivity analysis was also conducted on demographic data using an Artificial Neural Network (ANN) approach. The results indicated that all hypotheses were significant (p < 0.05). Effort expectancy was the most significant factor influencing hospital workers’ satisfaction (p < 0.01). Sensitivity analysis showed that education (Model-A) and experience in use of HIS (Model-B) were the most important factors. The study contributes by proposing a new theoretical framework and extending the previous research on HIS usage satisfaction. Overall, the study highlights the importance of easiness and usefulness in predicting HIS usage satisfaction.

현대 사회에서 정보시스템의 중요성이 커짐에 따라 기업경영뿐만 아니라 전시산업에도 IS의 영향력이 증가하고 있다. 본 연구에서는 참관객들이 전시회에 방문하기 전과 전시회 참관 과정 중 정보시스템의 사용이 전시회 서비스 유용성과 즐거움에 어떠한 영향을 미치는 지를 살펴보고, 전시회의 전반적인 만족과의 영향관계를 살펴보고자 한다. 정보시스템 성공모형의 중 정보 품질과 시스템 품질 요인을 통해 사전 정보시스템 사용을 측정하였으며, 제품지능 요인 중 협력능력, 반응성, 상호작용을 토대로 지능화된 전시회의 요인을 재구성하였다. 본 연구는 2015년 3월5일부터 8일까지 KIMES(제31회 국제의료기기 & 병원설비전시회) 참관객 대상으로 설문조사를 실시하여 255개의 데이터를 수집하였다. 이를 통해 274개의 유효데이터를 토대로 SPSS 19.0와 Smart PLS 2.0를 이용하여 본 연구에서 제시하고 있는 요인 간 구조적 관계에 대한 실증분석을 실시하였다. 분석 결과 전시회 사전 IS 사용은 전시회 과정 중 IS사용의 협력능력, 반응성, 상호작용 및 전시회 서비스의 유용성과 전시회의 지각된 즐거움에 긍정적인 영향을 미치는 것으로 나타났다. 또한 현장에서 IS를 활용한 전시회 지능 요인의 세 가지 차원과 전시회 유용성 및 즐거움과의 영향관계를 검토한 결과 협력능력과 반응성은 전시회 유용성과 즐거움에 기각되는 결과를 나타냈으며, 인간적 상호작용은 높은 수준에서 유용성과 즐거움에 정(+)의 영향을 미치는 결과를 보였다. 마지막으로 전시회 서비스 유용성과 전시회의 지각된 즐거움이 높을수록 전시회의 전반적인 만족도가 높아지는 것을 알 수 있었다.

This study evaluates the salient factors of connected Information System (IS) usage (pre and on usage) in Exhibition. The IS Usage of Exhibition has been actively developed by exhibitors and organizers in order to provide visitor with usefulness, enjoyment and satisfaction. Based on a literature review, the present article conceptualizes the ‘Smart Exhibition’ and describes relationship within the construct, connected IS usage in Exhibition context. The relationship between the connected IS usage and visitor with usefulness, enjoyment and satisfaction also was measured. The article explores two factors of pre usage of IS from the DeLone and Mclean IS Success Model(Information Quality, System Quality) and three factors of on usage of IS from the Product Intelligence Theory(Ability to cooperate, Reactivity, Humanlike Interaction). As a result, at pre usage of IS, Information Quality and System Quality have effect on IS usefulness and enjoyment. But on usage of IS, only Humanlike Interaction has an influence on IS usefulness and visitor's enjoyment. At last both IS usefulness and visitor's enjoyment have effect on visitor's satisfaction.

전반적으로 호텔정보화수준에 대한 지각과 e-비즈니스 전략에 대한 지각 모두 정보 시스템 활용에 매우 유익한 영향을 미치고 있음을 알 수 있다. 특히 활용도에 있어 고객과 가장 밀접한 기능을 갖는 객실부문에서 활용률이 높은 것으로 나타났으며, 종사원의 경력이 많을수록 활용률 또한 높은 것으로 나타났다. 이와 같은 결과를 볼 때, 각 호텔의 업무에서 컴퓨터 사용의 중요도와 이해도가 증가함에 따라 개별 컴퓨터의 네트워크 개념인 정보시스템에 대한 사용자의 요구도 매우 적극적이고 다양해졌음을 알 수 있고, 특히 객실고객관리 시스템에 있어 그 기능이 다양해짐에 따라 활용 또한 증대됨을 알 수 있다. 즉, 사용경험이 높을수록 고객관리 측면에서 이용률도 높아짐을 알 수 있는데 이는 효율성 측면에서 매우 중요한 의미를 갖는 것으로 이러한 결과를 볼 때, 객실고객관리 시스템뿐만 아니라 업무관리 시스템 및 지원업무 시스템, 인터페이스업무 시스템 또한 하나의 종합 시스템으로 상호 유기적인 기능을 갖고 운영되지 않으면 안 됨을 알 수 있다.이상에서와 같은 배경에서 볼 때 호텔정보시스템 사용자가 보다 더 편리하고 유용하게 정보습득을 하려는 욕구를 만족시키기 위한 노력의 일환으로 정보시스템이 직원 중심에서 이제는 고객서비스 품질 확보라는 측면에서 고객중심으로 관심을 확대시킬 필요가 있다. 즉, 이전까지 호텔정보시스템의 보조적 역할로 간주되어 왔던 사용자의 만족이 이제는 좀 더 비중이 있는 목표로 바뀌어야만 되는 것이다.

The Purpose of this study to show the relationship between the perceived level of the quickly expanding hotel information system in each department with e-business strategies and to verify the accuracy of the general presupposition that e-business will have a positive influence on the hotel industry. 558 subjects were selected from 10 first class hotels in the Seoul area and the relationship and difference between the hotels were analyzed using computer system, the actual model being used in each of these hotels.The above results show that both the perception of the level of hotel information systems and e-business strategies have very positive effects on the usage of information systems. In the level of usage, the category of level of usage in room management, which has the most effect on customers, seemed to be the highest and we also found that the more experience an employee has, the more he used the system.When we look at the above results, we can see that with the increase in the importance and understanding of computer usage in hotel business, there is an increase in demand of information systems in each department and in the case of customer management systems, we found that the more functions there are, the more the level of usage increases.Therefore, in customer management, the more experience an employee has, the level of usage increases and this is extremely important in the aspect of officiency.

본 연구는 비서의 직무수행에 있어 정보시스템 및 인터넷 활용이 많아지고 있는 현실에 주목하여, 정보시스템 수용에 관한 주요모델인 정보수용모델(Technology Acceptance Model: TAM)을 적용하여 비서의 정보시스템 및 인터넷 사용에 영향을 미치는 요인들을 실증적으로 분석해보았다. 연구모델을 설계하기 위해 정보시스템의 수용에 영향을 미치는 요인들을 이론적으로 살펴보았으며, 이를 토대로 비서의 업무환경에 적용하여 개인적요인, 직무요인, 상황적인 요인들을 찾아 TAM모형의 선행변수로 삼아 모형과 연구가설을 도출하였다. 이를 실증적으로 검증하기 위해 비서를 대상으로 설문지 분석을 하였다. 분석결과는 다음과 같다. 먼저 TAM모형에 주요변수인 인지된 유용성에 영향을 미치는 요인은 비서의 컴퓨터자기유능감, 직무관련성, 상사압력, 조직적지원으로 밝혀졌으며, 인지된 용이성에 영향을 미치는 요인은 컴퓨터 자기유능감과 조직적 지원으로 분석되었다. 또한 인지된 유용성과 인지된 용이성이 사용의도에 유의한 영향요인으로 나타나 TAM의 모형이 검증되었다. 또한 인지된 유용성의 매개효과도 밝혀졌다. 본 연구의 의의는 다음과 같다. 첫째, 비서직의 정보시스템 및 인터넷에 영향을 미치는 요인을 밝힘으로 비서학 분야의 이론적인 확장을 가져왔으며, 둘째, TAM모형을 비서직에 적용시킴으로 TAM모형의 확장을 시켰으며, 셋째 두 가지 요인에 모두 컴퓨터자기유능감과 조직적 지원이 영향을 미친다는 사실은 비서의 원활한 정보시스템 활용을 위해 조직의 물리적인 노력(훈련, 상담, 지원)이 필요하며 또한 교육과정에서 상황적인 컴퓨터 활용수업을 통해 컴퓨터자기유능감을 높힐 수 있다는 실무적인 의의를 갖는다.

The secretaries' application of IS and Internet to work is very important and critical in modern business environment. Technology Acceptance Model(TAM)is one of the most influential research models for studying determinants how users accept IS. Also, TAM is best known and most widely accepted for describing the user's IS and Internet acceptance process. This study applied TAM to investigate secretaries acceptance of IS and Internet in office situation. The purpose of this paper is to expand TAM based on the secretaries circumstances and then evaluate the expanded model, and to identify factors that affect secretaries' usage of IS and Internet. Data were collected through a questionnaire from 169 secretaries for this empirical study. I conducted multiple regression analysis using the SPSSWIN 11.5 for testing effects of personal, job, and environmental characteristics on secretaries usage of IS and Internet. The major findings of this study are summarized as follows; First, computer self-efficacy, job relevancy, employer pressure, and organizational support have significant positive relations with the Perceived Usefulness(PU). Second, computer self-efficacy and organizational support have significant positive relations with the Perceived Easy of Use(EOU). Third, PU have significant mediating effect between EOU and use intention. Findings from this study provide information that may be useful to the understanding of secretaries' usage of IS and Internet. This study empirically tested if TAM is significantly applied to the secretaries circumtances. The results imply that organizational policy for consulting support and physical equipment is needed. Organizational support for imploving PU and EOU is recommended for more IS implementation in office situation. For future research, methods other than questionnaire survey are suggested to get more precise and objective findings.

정보시스템의 성공적 운영 도구로써 DeLone과 McLean이 제안한 IS Success 모형을 적용한 많은 연구들은 구조방정식모델링의 독립변수와 종속변수간의 선형성을 기본적으로 가정하는 것이 일반적이다. 그러나 최근 서비스마케팅과 서비스품질 연구분야에서는 Kano의 3요인 개념을 적용하여 품질속성이 종속변수에 미치는 영향구조에 비대칭성이 존재함을 실증하는 연구들이 진행되었다. 이에 본 연구에서는 IS Success 모델의 독립변수들인 시스템품질, 정보품질, 서비스품질의 각 세부 품질들이 사용자만족에 미치는 영향구조의 비대칭성을 파악하고, 시간의 흐름에 따른 영향구조의 변화를 증명하고자 하였다. Delone and McLean의 IS Success Model을 기반으로 한 연구모형의 분석을 위하여 농림수산사업정보시스템(AgriX) 사용자 중 초기사용단계 사용자 874명과 지속사용단계 436명의 설문데이터를 이용하였으며, 품질요인과 만족도에 관한 다중회귀식으로 품질요인들의 영향구조를 파악하고 이들의 동일성 검정을 통해 요인의 속성 및 그 변화를 분석하였다. 분석결과 정보시스템의 품질요인과 만족도 사이에 비대칭성이 존재함이 실증되었으며, 초기사용단계와 지속사용단계에서 각 품질요인들의 속성이 달라짐을 확인하였다. 초기사용단계에서 시스템품질은 당연품질이었으나 지속사용단계에서는 일원품질로 변화하였으며, 정보품질의 경우 일원품질에서 매력품질로, 서비스 품질의 경우 초기와 지속사용단계 모두 일원품질로 변하지 않음으로 밝혀졌다. 이와 같은 결과는 정보시스템을 운영하는 관리 담당자들에게 정보시스템 사용자들의 이용기간에 따라 만족도를 높일 수 있는 적절한 전략을 어떻게 세울 것인지에 대한 시사점을 제공할 것이다.

Information System (IS) Success Model proposed by DeLone and McLean is applied as a successful operation tool of information system, with its basic assumption of symmetric relationship between independent variables and dependent variables of the structural equation modeling. However, because previous studies have proved asymmetry of quality factors' influence structure on dependent variable by applying three-factor analysis, this study aims at examining asymmetry of impact structure of quality factors introduced in IS Success Model on user satisfaction and tracking those structural changes between early users and late users. Using multiple regression model and testing for equality of coefficients, the current study analyzes survey data of 874 early users and 436 late users who use AgriX (Agricultural integrated Excellent system). Results show that there’s asymmetric relationship between quality factors and user satisfaction and that quality attributes changes from early usage stage to late usage stage. In the early usage stage, system quality is must-have items later changes to one-dimensional items in the late usage stage. From these results, we can suggest the strategic approach to construct and manage information systems for the working-level staff.

This study aims to analyze the impact of six major management behaviors on user satisfaction and system utilization within the social security information system. The study used survey data from 174 social welfare officials across the country and employed structural equation modeling with LISREL 8.72 for analysis. The results show that the management, usability, and complaint handling of the information system significantly affect system usability and user satisfaction, indicating that the proper functioning of system features is crucial for improving utilization and satisfaction. Although information system training and maintenance do not significantly impact usability, they do affect satisfaction, suggesting that while training can enhance utilization, its effectiveness depends on the user's proficiency and time spent using the system. On the other hand, system convenience did not significantly impact usability or satisfaction, implying that convenience is not directly related to user experience or satisfaction since users cannot independently modify the system’s interface or experience. The level of business understanding among users also did not significantly affect system utilization or satisfaction, indicating that users can effectively use the system even with limited knowledge of social security programs. Additionally, user satisfaction was found to have a significant impact on system utilization. These findings suggest that the information system should further develop customized features, incorporating the latest IT technologies to provide more efficient administrative information management, thereby reducing the time social welfare officials spend on administrative tasks and improving the quality of public services.

본 연구의 목적은 선행연구를 바탕으로 정보시스템성공모델(ISSM)에 기반한 배달 앱 품질과 사용자 만족, 지속사용의도에 관한 영향 관계를 살펴보고, 개인 혁신성의 집단 간 차이를 살펴보고 실증분석을 통해 검증하고자 하였다. 본 연구를 위해 표본자료의 수집은 2022년 11월 25일부터 12월 10일까지 음식점 배달 앱을 이용한 경험이 있는 서울 및 경기 지역의 소비자를 대상으로 설문조사를 실시하였다. 표본추출은 편의표본추출법에 의해 실시되었으며, 설문지는 280부를 배포하였으며, 이 중에서 불성실하게 응답한 설문지를 제외한 총 253부를 본 분석에 사용하였다. 분석 결과를 살펴보면, 다음과 같다. 첫째, 배달 앱 품질의 정보 품질과 시스템 품질 모두 사용자 만족에 유의한 영향을 미치는 것으로 나타났다. 둘째, 사용자 만족은 지속사용의도에 유의한 영향을 미치는 것으로 나타났다. 셋째, 개인 혁신성 수준이 낮은 집단에서는 정보 품질이 사용자 만족에 유의한 영향을 미치는 것으로 나타났으나, 시스템 품질은 사용자 만족에 유의한 영향을 미치지 않는 것으로 나타났다. 반면에, 개인 혁신성 수준이 높은 집단에서는 정보 품질과 시스템 품질이 모두 사용자 만족에 유의한 영향을 미치는 것으로 나타났다. 넷째, 개인 혁신성 수준이 낮은 집단과 높은 집단 모두 사용자 만족이 지속사용의도에 유의한 영향을 미치는 것으로 나타났다. 본 연구결과는 음식점 배달 앱 품질을 통해 사용자 만족을 향상시킴으로써 배달 앱의 지속사용의도를 증가시키는데 전략적 토대를 형성할 수 있을 것이다.

Based on previous studies, the purpose of this study was to examine the relationship between delivery app quality, user satisfaction, and continuous use intention based on information system success model (ISSM), to examine differences between groups of individual innovation, and to verify it through empirical analysis. The analysis results are as follows. First, it was found that both information quality and system quality of delivery app quality had a significant effect on user satisfaction. Second, user satisfaction was found to have a significant effect on the intention to continue use. Third, in the group with a low level of personal innovation, information quality was found to have a significant effect on user satisfaction, but system quality was found to have no significant effect on user satisfaction. On the other hand, in the group with a high level of personal innovation, both information quality and system quality were found to have a significant effect on user satisfaction. Fourth, it was found that user satisfaction had a significant effect on the intention to continue use in both groups with low and high levels of personal innovation.