• Knowledge Management Research
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• v.18 no.2
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• pp.45-63
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• 2017

In the success of an IT project, the role of S/W developer in carrying out the project is critical and crucial. However, compared to its importance, there is only a few studies on the role of human resources in software engineering field, mainly focusing on technology. Based on regulatory focus theory, this study examines how the effect of technology recency on developer's intention to participate in the IT project changes depending on the regulatory focus of the software developer. As a result of the experiment, it was confirmed that there is a difference in the effect of technology recency on project participation intention according to the condition of developer's regulatory focus. This study is meaningful because it extends regulatory focus theory to software engineering field and made theoretical contribution to the research field of behavioral software engineering. In practical, it was possible to suggest a way to improve the intention of the developer to participate in the project, by understanding the software developer in the IT project, considering the software developer propensity and project characteristics.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.19-33
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• 2015

SNS is perceived as an effective tool for sharing news and enabling news content to reach many more users than before. And some users think that SNS is an important source to get news. This study's purpose is to understand the key factors contributing to behavior of news consumption on social network sites in Cambodia and its influence. We identified three key factors including convenience, recency, and variety; however, recency showed less significant effect on news consumption on SNS. Besides the key factors, it also seeks to understand the impact of news consumption on social engagement and government's transparency in Cambodia. The analytical results achieved through the Partial Least Squares (PLS) approach.

• Industrial Engineering and Management Systems
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• v.10 no.4
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• pp.238-246
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• 2011

Given a directed graph, we can determine how the user's preference moves from one product item to another. In this graph called "preference transition network", each node represents the product item while its edge pointing to the other nodes represents the transition of user's preference. However, with the large number of items make the network become more complex, unclear and difficult to be interpreted. In order to address this problem, this paper proposes a visualization technique in preference transition analysis based on recency and frequency. By adapting these two elements, the semantic meaning of each item and its transition can be clearly identified by its different types of node size, color and edge style. The experiment in a sales data has shown the results of the proposed approach.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.535-542
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• 2023

This study attempted to identify various variables that affect satisfaction and continued use intention of the subscription economy services. Through previous research studies, individual characteristics and service characteristic variables were considered together. Finally, use motivation, platform characteristic factors, and product and service characteristic factors were classified and examined. As a result of the study, the motive for using the service that affects the satisfaction of the subscription economy service was found to be functional hedonic, and economic motive, and platform recency and convenience, economic utility, and perceived personalization had a positive effect. Functional and hedonic motives and convenience showed positive influences on continued use intention, while social motives showed negative influences. In addition, it was confirmed that economic motivation, platform recency, economic utility, and perceived personalization showed a positive influence on the intention to continued use intention by mediating satisfaction with subscription economy services.

• Journal of Korea Technology Innovation Society
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• v.7 no.3
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• pp.681-709
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• 2004

The purpose of this study is to classify customers by e-mail responsiveness on time-series analysis and testify the effectiveness of grouping by ROI analysis. Response recency, response frequency and Activity(RFA) of e-mailing systems are adapted for Customer segmentations. ROI analysis are consisted of open, click-through, duration time, personalization, conversion rate and email loyalty index of email systems. Major findings are as follows: RFA analysis is used for customer segmentations that is fundamental process of e-CRM applications. Customers can be grouped into loyal customers, odds customers, dormant customers, secession customers, and observation customers by RFA grouping. Loyal customer group has high point in all ROI index compared to other groups. These results indicated that customer responsiveness of e-mail systems were appropriate methods to group the customer with demographic variables. Therefore, effective e-mail marketing strategy of e-Biz should have suitable active DB and Behavior targeting is best approach to enforce the target e-mail marketing.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.5
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• pp.515-522
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• 2010

With the development of information technology, the demand on digitalized space information is being largely expanded in our society. Especially, the recency securing of material as well as various policy alternatives like expansion on an application scope are being required in the spatial information utilization field, such as efficient use and management of the land, various spatial plans, environment and disaster management, etc. The present research aims to suggest an evaluation model by applying the system dynamics theory for dynamic analysis on utilization of this spatial information.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.57-77
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• 2024

The aim of this research is to examine the impact of trust in reviews. Expertise, enjoyment, recency, and usefulness-four aspects of reviews-are designated as independent variables, and trust in reviews has been chosen as the mediating variable. The dependent variables are trust in firms and trust in products. For explaining the flow of trust, this study uses the theory of Trust Transfer. The study's findings demonstrated that customer trust in a product leads to consumer trust in a company, which is derived from trust in reviews. Reviews were found to be important from a practical standpoint. Furthermore, it was discovered that a product's category or features would have an impact on how reviews are trusted.

• Journal of Distribution Science
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• v.20 no.6
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• pp.1-10
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• 2022

Purpose: This research proposes a new modified Recency-Frequency-Monetary (RFM) model by extending the model with spatial analysis for supporting decision-makers in discovering the promotional target market. Research design, data and methodology: This quantitative research utilizes data-mining techniques and the RFM model to cluster a university's provider schools. The RFM model was modified by adapting its variables to the university's marketing context and adding a district's potential (D) variable based on heatmap analysis using Geographic Information System (GIS) and K-means clustering. The K-prototype algorithm and the Elbow method were applied to find provider school clusters using the proposed RFM-D model. After profiling the clusters, the target segment was assigned. The model was validated using empirical data from an Indonesian university, and its performance was compared to the Customer Lifetime Value (CLV)-based RFM utilizing accuracy, precision, recall, and F1-score metrics. Results: This research identified five clusters. The target segment was chosen from the highest-value and high-value clusters that comprised 17.80% of provider schools but can contribute 75.77% of students. Conclusions: The proposed model recommended more targeted schools in higher-potential districts and predicted the target segment with 0.99 accuracies, outperforming the CLV-based model. The empirical findings help university management determine the promotion location and allocate resources for promotional information distribution and student recruitment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.167-175
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• 2024

Due to the Fourth Industrial Revolution, ICT(Information and Communication Technology) industry is becoming more important and sophisticated than ever. In B2B based ICT industry demand forecasting by analyzing the previous customer data is so important. RFM, one of customer relationship management models is a marketing technique that evaluates Recency, Frequency and Monetary value to predict customers behavior. RFM model has been studied focusing on the B2C based industry. On the other hand there is a lack of research on B2B based technology industry. Therefore this study applied it to B2B based high technology industry and considered T(technology collaboration) value, which are identified as important factors in the technology industry. To present an improved model for market performance in B2B technology industry, an empirical study was conducted on comparing the accuracy of the traditional RFM model and the improved RFM-T model. The objective of this study is to contribute to market performance by presenting an improved model in B2B based high technology industry.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.55-76
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• 2023

This study analyzed academic information seeking behavior, focusing on university students, the main users of the university library, to derive considerations for the development and improvement of the subject guide of the university library. As a result of the analysis, university students highly evaluated their subjective information seeking ability, but it was found that it was difficult to set specific search terms. The purpose of using academic information is specific, and it has been shown that there is a tendency to perform all information search activities in one database. In addition, when selecting information resources, reliability, suitability, and recency are primarily taken into consideration. Awareness of university libraries and subject guides was generally low, but their reliability was found to be high. Based on this, it is necessary to consider the classification of information sources according to specific information seeking purposes, the composition of information resources, explanatory element technology related to information resource selection criteria, comprehensive database, topic keyword recommendation, library marketing, and close cooperation with internal institutions.