• The Journal of Information Systems
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• v.24 no.4
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• pp.1-19
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• 2015

Purpose Co-creation is a form of collaboration to create joint values with participation of diverse interested parties. It has been introduced by large companies at an early stage and due to changes in management environment, the scope of its concept has been expanding to the SMM(Small and Medium Manufactures). The objective of this study is to examine the impact of Co-creation on SMM's non-financial and financial performance. Design/methodology/approach Based on literature review, the research model was developed. To test this research model, we collected 188 questionnaires with SMM which utilized Co-creation and supplied parts to the companies. The t-test and ANOVA were employed for the analysis of data Findings The research result showed that the difference in business performance between the groups with much use of Co-creation and those with little use of Co-creation, there was significant difference in both non-financial and financial performance. In addition, non-financial and financial performance were different among four implementation behavior of Co-creation including Common value, Information share, Risk benefit, and Mutual benefit.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.63-87
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• 2008

This study investigates the effects of individual and group level factors on the use of GSS (Group Support System) and task performance from GSS use. GSS facilitates the group work, so that GSS adoption is not necessarily influenced only by individual perceptions on information systems as TAM insists. Adaptive Structuration. Theory (AST) joins with TAM in our study to explain the adoption and success from GSS use. AST contends that the success of IS is not necessarily the technical fit between tasks and technology, instead the political outcome among user socializations. We found that collected data from 303 individual IT staffs in a national bank. Our results demonstrate that traditional theories on TAM (Technology Acceptance Model) need to be refined, when considering the TTF(task-technology fit). TTF render high influences on PU(perceived usefulness). PEU(perceived ease of use) and FOA(faithfulness on appropriation). And FOA influences highly on our dependent variable. Implications and directions for future research are discussed.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.19-45
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• 2005

Collaborative filtering is one of the most common methods that e-commerce sites and Internet information services use to personalize recommendations. Collaborative filtering has the advantage of being able to use even sparse evaluation data to predict preference scores for new products. To date, however, no in-depth investigation has been conducted on how the data sparsity effect in customers' evaluation data affects collaborative filtering-based recommendation performance. In this study, we analyzed the sparsity effect and used a hybrid method based on customers' evaluations and purchases collected from an online bookstore. Results indicated that recommendation performance decreased monotonically as sparsity increased, and that performance was more sensitive to sparsity in evaluation data rather than in purchase data. Results also indicated that the hybrid use of two different types of data (customers' evaluations and purchases) helped to improve the recommendation performance when evaluation data were highly sparse.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.297-304
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• 2007

The purpose of this research is to investigate the current state of e-commerce for corporations in the steel industry and to analyze the factors that led failure in active use of e-commerce. Data from 51 companies are col looted. Factors that affect the e-commerce adoption and use of were analyzed. The influence of e-commerce utilization on corporate performance was also examined. It was found that several factors known to influence e-commerce use in the steel industry such as transact ion methods, preferences, and the level of information-orientation, did not actually have a significant impact. Rather items such as the maturity of e-commerce experience and perceptual compatibility between product characteristics and e-commerce turned out to have a significant influence on the utilization levels of e-commerce. The level of e-commerce utilization in system had a significant impact on each of the three performance dimensions : internal performance, external performance and financial performance.

• Journal of Wellbeing Management and Applied Psychology
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• v.3 no.4
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• pp.11-20
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• 2020

Purposes: This is a study on the perception of safety in use according to cosmetic information. Research design, data and methodology: As a result of analyzing 324 women in their twenties living in the metropolitan area, the following conclusions were drawn. Results: As a result of measuring the awareness of cosmetic information, the awareness of 'cosmetic-related knowledge' (M=3.52) and 'cosmetic performance' (M=3.43) was high, indicating that information on cosmetic knowledge was actively shared with each other. It was understood that the method of use and effect were properly recognized and that the cosmetics were selected. 'Correct cosmetic storage method' is significant in the factors of interest in cosmetics (p<.001), and 'the harmful ingredients of cosmetics that should be avoided' are significant in the factors of cosmetic information (p<0.05) and the factors of interest in cosmetics (p<0.01). 'Trouble-causing ingredients' showed a statistically significant difference in safety perception in all factors except cosmetic performance factors. Conclusion: There is a need to construct a system that allows consumers to easily purchase cosmetics that are necessary for their skin by schematically or simplifying the information on the usage period and trouble-causing ingredients after opening the cosmetics to be easily understood.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.645-648
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• 2004

In this paper, we drive a theoretical performance of complementary code keying (CCK) codes on additive white Gaussian noise (AWGN) channel. The CCK codes can be demodulated by the optimal maximum likelihood decoding method and sub-optimal correlation magnitude decoding algorithm. We calculate the bit error rate (BER) and symbol or codeword error rate (SER) of the CCK codes using the above mentioned two decoding algorithms. To derive the error performance, we use the weigh distributions and cross-correlation distributions of CCK codes.

• The Journal of Information Systems
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• v.31 no.2
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• pp.197-216
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• 2022

Purpose In this study, in order to understand the effects of NTIS users' behavioral scientific behaviors and determinants, an integrated model of the UTAUT(Unified Theory of Acceptance and Use of Technology) model and TTF(Task-Technology Fit) model, which are frequently used MIS field, was presented and empirical analysis was conducted. Design/methodology/approach In this study, an online survey was conducted on researchers from organizations carrying out national R&D projects, institutions, universities, and dedicated management institutions and the collected data verified hypotheses established using the SPSS 25.0 statistical package and structural equation model using AMOS. Findings The results showed that NTIS users' business activities had a positive(+) effect on task-technology fit and task-technology fit had a positive(+) effect on performance expectation, effort expectation, and continuous intention-to-use intention. In addition, the performance expectation, effort expectation, and promotion conditions presented in research model had a positive(+) effect on the continuous intention-to-use. The research results derived through this study are expected to contribute substantially to subsequent research in the field related to information sharing platforms.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.155-173
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• 2001

This study identified CSFs(Critical Success Factors) for successful ERP system implementation in small and medium firms, and empirically tested relationship between CSFs and user performance. Survey questionnaires were distributed via email & fax to 142 firms that have implemented ERP systems. Out of 52 responded questionnaires, 46 data sets were available for statistical analysis with SPSSWin8.0. CEO's participation, vendor support & service, securing human resources, effective use of software, and hardware capacity were identified as CSFs from factor analysis. Among those factors, vendor support & service and effective use of software were related to user performance, and the relationship was shown to be statistically significant. Study results also showed that user performance of ERP system was significantly different among those surveyed firms when ERP system package products were used as a simple proxy measure of independent variable.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.403-405
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• 2001

In an EJB 1.1 specification, every method call made to the Enterprise Java Bean, is potentially remote call. Such remote invocations use the network layer regardless of the proximity of the client to the bean, creating a network overhead. Especially. because entity bean is more notable performance fail by remote call than session bean, frequency of use on Session Bean in work-site operations is much more than Entity Bean. We focus on how to improve the performance on the entity bean with Value Object, which is one of J2EE patterns suggested by Sun Microsystems. We presents related design-issues fur performance testing, the testing results compared with original entity bean and our findings.

• Management & Information Systems Review
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• v.3
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• pp.1-14
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• 1999

Recently, information resource management(IRM) has a considerable interest among researchers and practitioners because the information resource have been found critical influence on organizational performance. The IRM construct has been defined a comprehensive approach to planning, organizing, controlling the resources, and activities associated with acquiring and distributing data to meet a business need. This study have several objectives: 1) to operationalize the measurement instrument of IRM, 2) to identify the factors influencing organizational performance, and 3) to suggest the research model between IRM and organizational performance and then 4) to provide reference for managers to assess the IRM implementation in their organization. By reviewing the literature, past experience, others' use, encouragement by others, and anxiety are selected as the factors influencing IRM. The IRM construct has been classified with eight dimensions : chief information officer, planning, security, technology integration, advisory committees, enterprise model, information integration, and data administration. Eight hypotheses concerning the relationship between each of the IRM and organizational performance are suggested in this study.