• Title/Summary/Keyword: Business Process Performance

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An Empirical Study on the Influence of Technology Management Activities on Firm Performance (기업의 기술경영활동이 기업성과에 미치는 영향에 관한 실증적 연구)

  • Jung, Doo-Sig
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.201-210
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    • 2017
  • The purpose of this research was to figure out how technology management activities are needed to survive in a rapidly changing business environment and how technology management activities affect company performance. First, Hypothesis 1 was partially adopted that Technology management activities will have a positive influence on management outcomes. Second, Hypothesis 2 was partially adopted that Innovation activities of firms will have mediating effects on the relationship between technology management activities and management outcomes. If the research subjects are expanded nationwide and divided into manufacturing industry, non - manufacturing industry, small and medium enterprise and large enterprise, it will be meaningful from academic point of view and practical point of view.

Research about Benchmark System Design for Efficient Web Server Management (효율적인 웹 서버 관리를 위한 평가시스템 설계에 관한 연구)

  • Kim, Seok-Soo;Song, Jae-Gu
    • Convergence Security Journal
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    • v.7 no.3
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    • pp.1-6
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    • 2007
  • It is important to manage and correctly evaluate the performance of server in order to improve he performance of server. That is, with the aim of finding whether resources are properly utilized, it is a method to improve both software and hardware aspects. Conventional method in evaluating the server performance involved installing software between server and client and generating the load and by simulating the process, it evaluated the handing efficiency of work load generated per packet volume. Therefore, this paper aims to pro-vide precise measurement method by distinguishing the characteristics of web server and the users' usage pattern and by evaluating the work load management through applying various standards. Specially, it presents the evaluation method from web service of personal and business.

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An Empirical Study on the Performance Improvement Strategy for Korean Shipping Companies by the Balance Score-card (외항선사의 성과개선 구축전략에 관한 실증연구)

  • Ahn, Ki-Myung;Um, Man-Sung;Ha, Min-Ho
    • Journal of Navigation and Port Research
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    • v.32 no.3
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    • pp.185-192
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    • 2008
  • This paper firstly aims to classify the applicability of the Balanced Scorecard approach to Korean ocean-going shipping firms' management system. The applicability of this approach from Korean shipping firms using Balanced Scorecard will create more effective and efficient organizational performance with reflecting non-financial indexes and making a balance among missions in organization. Secondly, the paper suggests positive information and theoretical evidences to improve Korean shipping firms' management system with examining an availability of the Balanced Scorecard as one method of management tools. So these factors are analysed by structural equation model. This study provides CEO in Korean ocean-going shipping firm the guideline and availability of the Balanced Scorecard as to what kinds of factors should be considered and what is the most critical factor to adopt the BSC into their business.

Long Term Impact of Distribution Information Technology Investment on Firm Value (무선인식 유통정보기술 투자가 장기 주가수익률에 미치는 영향에 관한 연구)

  • Son, Sam-Ho
    • Journal of Distribution Science
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    • v.17 no.3
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    • pp.69-83
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    • 2019
  • Purpose - This paper investigates the long term impact of RFID investment on firm value in Korea. We wand to find out why the long term performance of some firm's RFID investment is better than others. To understand the dynamics of the long term returns from RFID investment announcements, we divide our events into groups for each of the independent firm characteristic variable such as investment time period, kind of markets, industries, solvency and growth potential. We composed portfolios based on the RFID investment announcement date for each group and evaluate the monthly abnormal excess returns. Research design, data, and methodology - Based on these calendar-time portfolios, we measure the long term returns from 86 RFID investment announcements of 46 firms from 2003 to 2017. We construct the calendar-time portfolio for 3, 6, 9, 12 months of holding periods. Using the weighted least squares method, we regress the raw monthly returns of the portfolios on the Fama-French model and Carhart(1997) model. As a result, we can get the estimated risk adjusted mean monthly abnormal excess return αP for each of the calendar-time portfolio. Results - We found that early adopters, large firms, non-manufacturing firms have very significant excess returns. We also found modestly significant excess returns for financially stable firms and slow growing firms. Put together, top managers of the firms which plan to invest RFID should understand the strategic role of RFID adoption and the generalized business process of distribution information technology investment in Korea. Moreover, the findings of this paper provide useful trading strategies to the managers of large funds who are considering on investing in RFID adopting firms. Conclusions - Put together, the results of this paper give us a new insight into how the RFID and IT technology in general and other characteristic factors' interactions affect the long term performance of firms. Using the unbiased estimates of long term returns of the calendar-time portfolios, this paper extends the understandings on short term impact of RFID adoption of existing studies. This paper also extends the current understandings of firm characteristics that affect the long term performance of RFID adopting firms.

The Framework of Research Network and Performance Evaluation on Personal Information Security: Social Network Analysis Perspective (개인정보보호 분야의 연구자 네트워크와 성과 평가 프레임워크: 소셜 네트워크 분석을 중심으로)

  • Kim, Minsu;Choi, Jaewon;Kim, Hyun Jin
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.177-193
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    • 2014
  • Over the past decade, there has been a rapid diffusion of electronic commerce and a rising number of interconnected networks, resulting in an escalation of security threats and privacy concerns. Electronic commerce has a built-in trade-off between the necessity of providing at least some personal information to consummate an online transaction, and the risk of negative consequences from providing such information. More recently, the frequent disclosure of private information has raised concerns about privacy and its impacts. This has motivated researchers in various fields to explore information privacy issues to address these concerns. Accordingly, the necessity for information privacy policies and technologies for collecting and storing data, and information privacy research in various fields such as medicine, computer science, business, and statistics has increased. The occurrence of various information security accidents have made finding experts in the information security field an important issue. Objective measures for finding such experts are required, as it is currently rather subjective. Based on social network analysis, this paper focused on a framework to evaluate the process of finding experts in the information security field. We collected data from the National Discovery for Science Leaders (NDSL) database, initially collecting about 2000 papers covering the period between 2005 and 2013. Outliers and the data of irrelevant papers were dropped, leaving 784 papers to test the suggested hypotheses. The co-authorship network data for co-author relationship, publisher, affiliation, and so on were analyzed using social network measures including centrality and structural hole. The results of our model estimation are as follows. With the exception of Hypothesis 3, which deals with the relationship between eigenvector centrality and performance, all of our hypotheses were supported. In line with our hypothesis, degree centrality (H1) was supported with its positive influence on the researchers' publishing performance (p<0.001). This finding indicates that as the degree of cooperation increased, the more the publishing performance of researchers increased. In addition, closeness centrality (H2) was also positively associated with researchers' publishing performance (p<0.001), suggesting that, as the efficiency of information acquisition increased, the more the researchers' publishing performance increased. This paper identified the difference in publishing performance among researchers. The analysis can be used to identify core experts and evaluate their performance in the information privacy research field. The co-authorship network for information privacy can aid in understanding the deep relationships among researchers. In addition, extracting characteristics of publishers and affiliations, this paper suggested an understanding of the social network measures and their potential for finding experts in the information privacy field. Social concerns about securing the objectivity of experts have increased, because experts in the information privacy field frequently participate in political consultation, and business education support and evaluation. In terms of practical implications, this research suggests an objective framework for experts in the information privacy field, and is useful for people who are in charge of managing research human resources. This study has some limitations, providing opportunities and suggestions for future research. Presenting the difference in information diffusion according to media and proximity presents difficulties for the generalization of the theory due to the small sample size. Therefore, further studies could consider an increased sample size and media diversity, the difference in information diffusion according to the media type, and information proximity could be explored in more detail. Moreover, previous network research has commonly observed a causal relationship between the independent and dependent variable (Kadushin, 2012). In this study, degree centrality as an independent variable might have causal relationship with performance as a dependent variable. However, in the case of network analysis research, network indices could be computed after the network relationship is created. An annual analysis could help mitigate this limitation.

Effect of Service Quality on Corporate Performance, Customer Satisfaction and Intention : Focus on Outsourcing of Exhibition/Convention Industry (서비스품질이 기업성과, 고객만족 및 의도에 미치는 영향 : 전시컨벤션 산업의 아웃소싱을 중심으로)

  • Lee, Byung-Ho;Jeon, In-Oh
    • The Journal of the Korea Contents Association
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    • v.12 no.1
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    • pp.275-298
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    • 2012
  • Holding conventions and exhibitions are deemed as a highly valued-added services. The conventions and exhibitions industry (CEI) contributes to the development of the region in which the venues are located by creating jobs, boosting the local economics, attracting dollars and increasing tax incomes. At the same time, the international awareness of the region rises after holding an international exhibition or convention. This study investigated the effects of outsourcing services quality that employed by corporations organizing conventions and exhibitions on business performance and customer satisfaction of organizing corporations. It was found that many convention organizing corporations relied on outsourcing services for the most of the process. Given that the staff members of outsourcing companies serve as the major source of services for events, the quality of their services has much effects on the business results of hiring corporations. In this study, major factors influencing the service quality and the importance of the service quality were addressed. And the ideas for effective method for controlling the outsourcing sources were also suggested for hiring corporations and outsourcing companies.

Does Social Distance Always Increase Content Performance in Online Distribution Channels? (온라인 유통 채널에서 컨텐츠의 성과는 사회적 거리에 의해 항상 증가하는가? YouTube의 문화별컨텐츠를 중심으로)

  • Son, Jung-Min;Kang, Seong-Ho
    • Journal of Distribution Science
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    • v.13 no.8
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    • pp.97-104
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    • 2015
  • Purpose - This study examines the positive impact of the social distance between producers and users of online content, investigating and analyzing the most popular Web content. In addition, it tries to elicit the matching effect that appears when the individuals'cultural background is consistent with social distance. Research design, data, and methodology - We collected and analyzed actual data about 4,981 videos clips on YouTube, looking at six countries in order to verify the content of this study. Based on the results of the data analysis, the study conducted behavioral measurements on popularity, social distance, culture, and user engagement. The unit of analysis was the content and we collected information about the content producers and the content records. We controlled the views, comments, likes, calendar dates, and ages in the empirical models. The data was collected in 2011, with the records coming from South Korea, Japan, China, U.S., German, and France. A total of 4,980 elements were analyzed in the model. The empirical model estimated is the bivariate negative binomial distribution (NBD) model. Results - It turns out that there is a possibility that the matching effect can be diminished by variables that reflect the psychological involvement of user engagement. This study proposes academic and practical implications based on these research results. This research shows the positive effect of social distance between users and producers on the increased performance of the online content. We find the effect of social distance to be a stronger tendency in collectivism. The collectivists follow their sense of friendship and intimacy in their culture and, the social congruence effect can be found there as well. The effect, however, could erode in a social case where users are motivated by strong intrinsic and psychological factors. In addition, user engagement complicates the process of user decision making regarding the information. Conclusions - This study examines how the differential effects of social distance caused by culture could disappear through user commitment as a complicated user motivation. Some potential implications are as follows. First, a firm in the collectivism culture has to communicate based on the social distance. In fact, most online channels do not have a function that indicates the social distance as measured by favorites or subscribers. This function could help increase the performance of the content in online channels, but this increasing effect can only be found in a collectivist culture. Based on this, the firms have to communicate and announce to users the actual social distance between users and producers. Second, firms should develop a system that discovers the social distance and culture and shows these measures to users and producers, since the congruence effect between social distance and culture is found only for low user engagement. The firms can take the advantage of the congruence effect only for the development of the social distance and culture visualized system.

A Study on the Competition Structure and Effective Factors for Management Performance of the Fisheries Cold-Storage Warehouse Industry (수산물 냉동냉장창고업의 경쟁구조와 경영성과 영향요인에 관한 연구)

  • 장영수;장수호;장홍석
    • The Journal of Fisheries Business Administration
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    • v.30 no.1
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    • pp.119-147
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    • 1999
  • This article is subject to the rationalization of the cold-storage warehouse management, which gives the stabilization of the fishery production and the food life with respect to fisheries industry. In this point of view, the article examines to the structure of the cold-storage warehouse industry from the perspective of the industrial organization. To put it concretely, the article intends to apprehend the state of the structure of the industry and analyze the cold-storage warehouse's management activities. In addition, I try to find know the factors that affect the management performance(profitablity) of the industry through the cross-sectional correlation analysis. Finally, the conclusion of the article can be described as follows : \circled1 On the basis of the cold-storage capacity, there is the tendency that the industry concentrate in the area of Pusan(41.7%). \circled2 By formulating step of development of the industry, it is divided by six types. Type I is designed as raw material-storage warehouse for self-processing. Type IIis the raw material-storage warehouse for self-processing and storage-sale warehouse. Type III is the raw material-storage warehouse for self.distribution. Type IV is the raw material-storage warehouse for self-distribution and storage-sale warehouse. Type V is the net storage-sale warehouse. Type Ⅵ is the physical distribution center warehouse. Although each region has one representative type,6 types exist in all regions. \circled3 The competition structure of the industry has double structure on the basis of cold-storage capacity. \circled4 With respect to the management activity of the cold-storage warehouse, there is no change or even a decrease not increasing or not any change in sales from 1996 to 1997 \circled5 In order to try to induce the amount of shipper's materials, services that a cold-storage warehouse supply with its users include a custody-fee discount, a distribution-process service, a finance service, quality management service and so on. One of the best attractive services is the custody-fee service. \circled6 In the structure and management activity of the industry, the factors that affect management performance (profitablity) are a custody-fee discount, sales ability and capital structure of individual firm. Positive factor is sales ability and capital structure of individual firm. But, The custody-fee discount turns out to be a negative capital structure of individual film.

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A Study on Utilization of Vision Transformer for CTR Prediction (CTR 예측을 위한 비전 트랜스포머 활용에 관한 연구)

  • Kim, Tae-Suk;Kim, Seokhun;Im, Kwang Hyuk
    • Knowledge Management Research
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    • v.22 no.4
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    • pp.27-40
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    • 2021
  • Click-Through Rate (CTR) prediction is a key function that determines the ranking of candidate items in the recommendation system and recommends high-ranking items to reduce customer information overload and achieve profit maximization through sales promotion. The fields of natural language processing and image classification are achieving remarkable growth through the use of deep neural networks. Recently, a transformer model based on an attention mechanism, differentiated from the mainstream models in the fields of natural language processing and image classification, has been proposed to achieve state-of-the-art in this field. In this study, we present a method for improving the performance of a transformer model for CTR prediction. In order to analyze the effect of discrete and categorical CTR data characteristics different from natural language and image data on performance, experiments on embedding regularization and transformer normalization are performed. According to the experimental results, it was confirmed that the prediction performance of the transformer was significantly improved when the L2 generalization was applied in the embedding process for CTR data input processing and when batch normalization was applied instead of layer normalization, which is the default regularization method, to the transformer model.

The Roles of Learning Orientation and Market Orientation in Driving Marketing Capabilities and Firm Performance (학습지향성과 시장지향성이 마케팅역량과 기업성과에 미치는 영향)

  • Shin, Sohyoun Synthia;Lee, Sungho;Chaiy, Seoil
    • Asia Marketing Journal
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    • v.13 no.3
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    • pp.1-23
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    • 2011
  • The previous studies found the importance of market orientation (MO), learning orientation (LO), and marketing capabilities (MC) in driving firm performance (FP), but respectively. This research attempted to integrate the rather separate research streams of MO, LO, and MC in explaining FP. How MO and LO, as two critical constructs of organizations' cultural values, affect FP was examined with the mediating role of MC (composed of marketing planning capability (MPC) and marketing implementation capability (MIC)). Specifically, we derived specific conceptualizations on the effects of LO on FP through MO, MPC, and MIC as well as the effect of MO on FP through MPC. Accordingly, we empirically tested a process of how LO, MO, and MC translate into FP, using survey data of 146 respondents from Korean companies. The results successfully supported our model. It is worth noting not only that LO and MO are found to have synergistic effects on FP through MC but also that LO fosters MO. The relevant implications of our findings are presented with limitations and further research directions.

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