Purpose
The purpose of this study is to review topic and survey methodological trends in 'The Journal of Information Systems' in order to present the practical guidelines for the future IS research. By attempting to conduct a meta-analysis on both topic and survey methodological trends, this study could provide researchers wishing to pursue this line of work further with what can be done to improve IS disciplines.
Design/methodology/approach
In this study, we have reviewed 185 papers that were published in 'The Journal of Information Systems' from 2010 to 2018 and classified them based on topics studied and survey methodologies used. The classification guidelines, which was developed by Palvia et al.(2015), has been used to capture the topic trends. We have also employed Struab et al.(2004)s' guidelines for securing rigor of validation issues. By using two guidelines, this study could also present topic and rigor trends in 'The Journal of Information Systems' and compare them to those trends in International Journals.
Findings
Our findings have identified dominant research topics in 'The Journal of Information Systems';
1) social media and social computing, 2) IS usage and adoption, 3) mobile computing, 4) electronic commerce/business, 5) security and privacy, 6) supply chain management, 7) innovation, 8) knowledge management, and 9) IS management and planning.
This study also could offer researchers who pursue this line of work further practical guidelines on mandatory (convergent and discriminant validity, reliability, and statistical conclusion validity), highly recommended (common method bias testing), and optional validations (measurement invariance testing for subgroup analysis, bootstrapping methods for testing mediating effects).

Purpose
Recently, 3D factory simulation technology has emeged as a powerful tool for modeling and analysis of a wide range of production systems, however, it has been not paid much attention in Korea. In this context, this paper aims to provide a comprehensive literature review on discrete event simulation softwares and introduce a promising 3D factory simulation software called FlexSim and its application domains.
Design/methodology/approach
In order to demonstrate worldwide popularity and technical superiority of FlexSim software, we analyzed the recent list of rankings for commercial discrete simulation softwares released by winter simulation conference and users' opinions collected from business software review site. Moreover, several main application domains are derived from a review of the previous research papers that deal with applications of FlexSim software.
Findings
FlexSim software recently moved up the list of major commercial simulation softwares, and technical superiorities of the software demonstrate that it is a promising tool for practical 3D factory simulation. Moreover, recent research papers suggest that FlexSim software can be used as a component of smart factory system. In this context, it is expected that FlexSim software becomes more popular in the era of industry 4.0.

Purpose
Recently, social interest in the convergence research is at its peak. However, contrary to the keen interest in convergence research, an infrastructure that makes it easier to recruit researchers from other fields is not yet well established, which is why researchers are having considerable difficulty in carrying out real convergence research. In this study, we implemented a researcher recommendation system that helps researchers who want to collaborate easily recruit researchers from other fields, and we expect it to serve as a springboard for growth in the convergence research field.
Design/methodology/approach
In this study, we implemented a system that recommends proper researchers when users enter keyword in the field of research that they want to collaborate using word embedding techniques, word2vec. In addition, we also implemented function of keyword suggestions by using keywords drawn from LDA Topicmodeling Algorithm. Finally, the UI of the researcher recommendation system was completed by utilizing the collaborative messenger Slack to facilitate immediate exchange of information with the recommended researchers and to accommodate various applications for collaboration.
Findings
In this study, we validated the completed researcher recommendation system by ensuring that the list of researchers recommended by entering a specific keyword is accurate and that words learned as a similar word with a particular researcher match the researcher's field of research. The results showed 85.89% accuracy in the former, and in the latter case, mostly, the words drawn as similar words were found to match the researcher's field of research, leading to excellent performance of the researcher recommendation system.

Purpose
Compliance support system (CSS) aims to support employees' voluntary compliance activities, however, it requires a different approach from the acceptance of other general information systems. In other words, the user's concern that his/her compliance activities recorded in the system are monitored may hinder the active use of the system. In this regard, we set up a research model to investigate the factors that affect the intention to use CSS, by including perceived usefulness, compliance commitment, and surveillance concern.
Design/methodology/approach
A questionnaire survey was conducted for the employees of a domestic oil-company, who operates their own CSS. Based on the 865 data collected, a structural model analysis using PLS was conducted. As a result, all four hypotheses were accepted. It was found that perceived usefulness of CSS has a positive effect on the intention to use CSS. Compliance commitment has a positive effect both on perceived usefulness and intention to use CSS. In contrast, surveillance concern of one's non-compliance recorded in the CSS was shown to have a negative effect on the relationship between compliance commitment and perceived usefulness.
Findings
This study has academic implications in that it extends the viewpoint of the existing technology acceptance mechanism by examining the two aspects, i.e., compliance commitment and surveillance concern. This study may also provide practical directions to strengthen the use of the active compliance support system by the employees.

Purpose
The purpose of this study is to predict future behaviors of business process. Specifically, this study tried to predict the last activities of process instances. It contributes to overcoming the limitations of existing approaches that they do not accurately reflect the actual behavior of business process and it requires a lot of effort and time every time they are applied to specific processes.
Design/methodology/approach
This study proposed a novel approach based using deep learning in the form of dynamic recurrent neural networks. To improve the accuracy of our prediction model based on the approach, we tried to adopt the latest techniques including new initialization functions(Xavier and He initializations). The proposed approach has been verified using real-life data of a domestic small and medium-sized business.
Findings
According to the experiment result, our approach achieves better prediction accuracy than the latest approach based on the static recurrent neural networks. It is also proved that much less effort and time are required to predict the behavior of business processes.

Purpose
The purpose of this study is to identify the effects of users' perceived value of food delivery Apps and information quality on acceptance and intention to reuse of food delivery Apps.
Design/methodology/approach
This study made a design of the research model by integrating the factors of perceived value and information quality with the acceptance and continued usage of delivery Apps on the basis of the TAM (Technology Acceptance Model).
Findings
The results of this study suggests that perceived emotional value and monetary value, accuracy and timeliness of information have significant positive effects on usefulness and easiness of food delivery Apps. Meanwhile, both usefulness and easiness of food delivery Apps have significant positive influences on users' continually use intention. Furthermore, implications in terms of the findings of this study are discussed.

Purpose
As Korean economy has been sluggish in recent years, firms' interest in publicly financed projects has increased due to the relatively increasing proportion in the economy. Since 1999, publicly financed projects in Korea need to undergo preliminary feasibility study to evaluate economic efficiency and policy quality if they are larger than a certain scale. The benefits of public projects are one of the most important factors in the preliminary feasibility study but are difficult to estimate due to their nature.
Design/methodology/approach
This study estimates the benefits of the agricultural soil information database, a public database in Korea. The method used in the study is the stated preference method which is formally used in Korea's preliminary feasibility study. Data are collected through surveys and a logit model is constructed to be estimated by the maximum likelihood estimation method.
Findings
As the first study evaluating a public database, this study can be used as a baseline in all public database projects developed in the future. In addition, this study can contribute to improving the understanding of both private companies and public organizations who are interested in the cost-benefit analysis and estimation procedure for the publicly financed projects.

Purpose
The purpose of this study is to confirm the factors for explaining the consumer behavior when occur patent litigation and technology infringement of each conditions which are brand reputation gap, technology importance and technology leakage attribution based on the Attribution Theory.
Design/methodology/approach
This study made a design of the research model by 2x2x2 factorial design deducted and performed 3-way ANOVA then analyzed 2-way AVOVA with brand reputation gap as center from technology importance and technology leakage attribution on the basis of the Attribution Theory.
Findings
According to the empirical analysis result, this study confirmed that consumer attitude has no difference regardless of technology leakage attribution when top-dog vs. under-dog situation and top-dog vs. top-dog situation. Also, this study confirmed that when under-dog infringe important technology, consumer show more positive attitude than the other. On the other hand, top-dog infringe important technology, consumer show more negative attitude than the other.

Purpose
As job market squeezes and more institutions have been requiring NCS(National Competency Standards) based recruitments, the importance of NCS has been growing. Among the 10 domains of NCS, the most relevant one with MIS(Management Information Systems) field is 'information ability', which is becoming more important with the advent of the fourth industrial revolution era. The purpose of this study is to investigate the effect of college students' information ability on their career preparation behavior.
Design/methodology/approach
In this study, we set up a process model to comprehend the effect of college students' information ability on career preparation behavior based on social cognitive career theory. For research model testing, 561 questionnaires were used for empirical analysis through structural equations modeling.
Findings
Empirical analysis showed that information ability positively influenced college students' career preparation behaviors for employment. In addition, this study presented a process model explaining the effect of information capability on career preparation behavior. In order to strengthen the information ability of college students, not only university-level efforts, but also MIS discipline efforts should be accompanied. Other academic and practical implications are discussed.

Purpose
The purpose of this study is to investigate which decision factors continue to use the service based on the online simple payment service. In this study, we will examine how to activate the service from the continuing factors through the dual-model theory consisting of personal dedication and constraint dedication which are frequently used in relation marketing.
Design/methodology/approach
In this study, we investigated the activation of online simple settlement service using factors affecting the preference of the simple payment service based on the dual-model of dedication-based mechanism and constraint-based mechanism.
Findings
This study confirmed that customer satisfaction and convenience under the dedication -based mechanism were found to be linked to the preference of the simple payment service. Switching cost under the constraint - based mechanism showed that the customer had no binding ability to continue using the service of the current provider. Likewise, preference was found to have a direct effect on the actual frequency of use of the simple payment service, the number of uses compared to the total number of online payments, and willingness to use more..