• 제목/요약/키워드: Productivity Performance

검색결과 1,532건 처리시간 0.028초

일터영성이 팀 생산성에 미치는 영향: 창의성의 매개효과를 중심으로 (A Study on the Relationships between Workplace Spirituality and Team Productivity : Mediating Effect of Employee Creativity)

  • 전기석;데이비드 패스모어
    • 한국콘텐츠학회논문지
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    • 제19권8호
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    • pp.513-524
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    • 2019
  • 본 논문의 목적은 일터영성이 팀 생산성에 미치는 영향과 이들의 관계 속에서 창의성의 매개효과를 연구하는 것이다. 최근 한국에서는 조직의 실무자들과 연구자 그룹에서 일터영성에 대한 관심도가 지속적으로 증가하고 있다. 반면, 한국 조직의 맥락에서 일터영성에 대한 다양한 연구들은 아직 부족한 상황이다. 이에 본 연구에서는 일터영성과 팀 생산성, 그리고 창의성의 관계에 대해 살펴보는 것이다. 창의성은 내적 동기와 긍정적인 관계를 가지고 있다. 일터 영성은 내적 동기요소로서 임직원의 창의성을 촉진하는 것 뿐 아니라 이를 통해서 조직의 성과에도 효과적인 영향을 미칠 수 있다. 본 연구에서는 국내 기업 임직원 514명을 대상으로 실증연구를 실시하였다. 일터영성 세 가지 요소인 내적 삶과 의미 있는 일, 그리고 조직소속감은 창의성에 긍정적 영향을 주었다. 또한 창의성은 일터영성과 팀 생산성의 관계를 매개하였다. 이에 따라 이론과 실무적 차원의 시사점을 기술하였다.

IT 아웃소싱의 가치에 관한 연구: 한국 산업에 대한 실증분석 (Value of Information Technology Outsourcing: An Empirical Analysis of Korean Industries)

  • 한건수;이강배
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.115-137
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    • 2010
  • Information technology (IT) outsourcing, the use of a third-party vendor to provide IT services, started in the late 1980s and early 1990s in Korea, and has increased rapidly since 2000. Recently, firms have increased their efforts to capture greater value from IT outsourcing. To date, there have been a large number of studies on IT outsourcing. Most prior studies on IT outsourcing have focused on outsourcing practices and decisions, and little attention has been paid to objectively measuring the value of IT outsourcing. In addition, studies that examined the performance of IT outsourcing have mainly relied on anecdotal evidence or practitioners' perceptions. Our study examines the contribution of IT outsourcing to economic growth in Korean industries over the 1990 to 2007 period, using a production function framework and a panel data set for 54 industries constructed from input-output tables, fixed-capital formation tables, and employment tables. Based on the framework and estimation procedures that Han, Kauffman and Nault (2010) used to examine the economic impact of IT outsourcing in U.S. industries, we evaluate the impact of IT outsourcing on output and productivity in Korean industries. Because IT outsourcing started to grow at a significantly more rapid pace in 2000, we compare the impact of IT outsourcing in pre- and post-2000 periods. Our industry-level panel data cover a large proportion of Korean economy-54 out of 58 Korean industries. This allows us greater opportunity to assess the impacts of IT outsourcing on objective performance measures, such as output and productivity. Using IT outsourcing and IT capital as our primary independent variables, we employ an extended Cobb-Douglas production function in which both variables are treated as factor inputs. We also derive and estimate a labor productivity equation to assess the impact of our IT variables on labor productivity. We use data from seven years (1990, 1993, 2000, 2003, 2005, 2006, and 2007) for which both input-output tables and fixed-capital formation tables are available. Combining the input-output tables and fixed-capital formation tables resulted in 54 industries. IT outsourcing is measured as the value of computer-related services purchased by each industry in a given year. All the variables have been converted to 2000 Korean Won using GDP deflators. To calculate labor hours, we use the average work hours for each sector provided by the OECD. To effectively control for heteroskedasticity and autocorrelation present in our dataset, we use the feasible generalized least squares (FGLS) procedures. Because the AR1 process may be industry-specific (i.e., panel-specific), we consider both common AR1 and panel-specific AR1 (PSAR1) processes in our estimations. We also include year dummies to control for year-specific effects common across industries, and sector dummies (as defined in the GDP deflator) to control for time-invariant sector-specific effects. Based on the full sample of 378 observations, we find that a 1% increase in IT outsourcing is associated with a 0.012~0.014% increase in gross output and a 1% increase in IT capital is associated with a 0.024~0.027% increase in gross output. To compare the contribution of IT outsourcing relative to that of IT capital, we examined gross marginal product (GMP). The average GMP of IT outsourcing was 6.423, which is substantially greater than that of IT capital at 2.093. This indicates that on average if an industry invests KRW 1 millon, it can increase its output by KRW 6.4 million. In terms of the contribution to labor productivity, we find that a 1% increase in IT outsourcing is associated with a 0.009~0.01% increase in labor productivity while a 1% increase in IT capital is associated with a 0.024~0.025% increase in labor productivity. Overall, our results indicate that IT outsourcing has made positive and economically meaningful contributions to output and productivity in Korean industries over the 1990 to 2007 period. The average GMP of IT outsourcing we report about Korean industries is 1.44 times greater than that in U.S. industries reported in Han et al. (2010). Further, we find that the contribution of IT outsourcing has been significantly greater in the 2000~2007 period during which the growth of IT outsourcing accelerated. Our study provides implication for policymakers and managers. First, our results suggest that Korean industries can capture further benefits by increasing investments in IT outsourcing. Second, our analyses and results provide a basis for managers to assess the impact of investments in IT outsourcing and IT capital in an objective and quantitative manner. Building on our study, future research should examine the impact of IT outsourcing at a more detailed industry level and the firm level.

조직 성숙도 수준과 성과 향상을 위한 소프트웨어 프로세스 개선의 성공 요인 (The Antecedents of Software Process Improvement for Organizational Capability Maturity and Performance)

  • 김인재;최재원
    • 지식경영연구
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    • 제16권2호
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    • pp.227-248
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    • 2015
  • SPI (Software Process Improvement) activities have been considered one of the crucial approaches to achieve high quality, productivity and timely delivery of software products and services. The basic premise of SPI model is that higher maturity levels lead to better performance. In this research, the relationships between SPI results and performance were empirically investigated with Korean software companies. CMM key process areas were categorized into two dimensions, "Process Implementation" and "Quantitative Management". The relationship between process implementation and performance was significant, but the relationship between quantitative management and performance was insignificant. The control variable, size of OU(Organizational Unit), did not have significant impact on the relationships between SPI activities and OU performance.

소프트웨어 프로세스 개선활동이 조직성과에 미치는 영향 (The Effect of Software Process Improvement on Organizational Performance)

  • 윤재욱;김인재
    • 한국경영과학회지
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    • 제31권1호
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    • pp.37-53
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    • 2006
  • SPI (Software Process Improvement) activities have been considered one of the crucial approaches to achieve high quality, productivity and timely delivery of software products and services. The basic premise of SPI model is that higher maturity levels lead to better performance. In this research, the relationships between SPI results and performance were empirically investigated with Korean software companies. CMM key process areas were categorized into two dimensions, 'Process Implementation' and 'Quantitative Management'. The relationship between process implementation and performance was significant, but the relationship between quantitative management and performance was insignificant. The control variable, size of OU(Organizational Unit), did not have significant impact on the relation ships between SPI activities and OU performance.

유압 디바이스 성능 검사 장비 자동화 공정 개발 (Development of Hydraulic Device Performance Test Equipment Automation Process)

  • 김홍록;정원지;설상석;박상혁;이경태
    • 한국기계가공학회지
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    • 제19권10호
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    • pp.74-80
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    • 2020
  • Crawler-type hydraulic devices facilitate forward and backward driving of construction equipment by converting power into mechanical energy. The existing hydraulic device performance test process is time- and labor-intensive. This study aims to improve efficiency and productivity by automating the hydraulic device production performance test processes, which have been separately conducted so far. We also used SolidWorksⓇ, a 3D modeling program, and ANSYSⓇ, a structural analysis tool, for structural analysis and to verify the suitability of fixing pins required for connecting a hydraulic device to performance test equipment. Our results that employing an automated hydraulic device performance test process improves efficiency.

Design and experimentation of remote driving system for robotic speed sprayer operating in orchard environment

  • Wonpil, Yu;Soohwan Song
    • ETRI Journal
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    • 제45권3호
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    • pp.479-491
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    • 2023
  • The automation of agricultural machines is an irreversible trend considering the demand for improved productivity and lack of labor in handling agricultural tasks. Unstructured working environments and weather often inhibit a seemingly simple task from being fully autonomously performed. In this context, we propose a remote driving system (RDS) to aid agricultural machines designed to operate autonomously. Particularly, we modify a commercial speed sprayer for orchard environments into a robotic speed sprayer to evaluate the proposed RDS's usability and test three sensor configurations in terms of human performance. Furthermore, we propose a confidence error ellipsebased task performance measure to evaluate human performance. In addition, we present field experimental results describing how the sensor configurations affect human performance. We find that a combination of a semiautonomous line tracking device and a wide-angle camera is the most effective for spraying. Finally, we discuss how to improve the proposed RDS in terms of usability and obtain a more accurate measure of human performance.

Analytic Hierarchical Procedure and Economic Analysis of Pneumatic Pavement Crack Preparation Devices

  • Park, JeeWoong;Cho, Yong K.;Wang, Chao
    • Journal of Construction Engineering and Project Management
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    • 제5권2호
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    • pp.44-52
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    • 2015
  • Various approaches have been used in crack preparations and each of the approaches has advantages and disadvantages. Although the routing method has been widely used and seems to be the best approach among the approaches, it is not a complete solution for crack preparation. This paper compares and evaluates a pneumatic crack cleaning device (CCD) developed by Robotics and Intelligent Construction Automation group at Georgia Tech, over existing devices. Surveys were conducted to discover factors that affect the performance of crack/joint preparation work. Then, data for such information were collected via field tests for devices such as router, heat lancer, air blower and CCD. Performed field test results and follow-up interviews demonstrated that the utilization of CCD has potential to offer improvements in productivity, safety, and maintenance cost. An analytic hierarchical procedure (AHP) and economic analyses were conducted. The AHP analysis considered three factors including safety, quality and productivity while the economic analyses examined the alternatives in various ways. The results indicated that the CCD was ranked first and second for the AHP analysis and economic analysis, respectively. In conclusion, the field tests and results revealed that the utilization of CCD achieved satisfactorily in performance, quality, safety and control, and showed that it has high potential in crack cleaning practice.

제조 시스템의 최적 신뢰도 및 보전도 할당 (Allocation of the Optimal Reliability and Maintainability in Manufacturing Systems)

  • 이상철
    • 산업경영시스템학회지
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    • 제22권50호
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    • pp.23-32
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    • 1999
  • Reliability and maintainability allocation in the analysis of the system's design, with the objective of planning and installing the individual components in such a way that the system performance is achieved. This paper has been made to solve an important task in reliability management of manufacturing systems within the general objective being to increase productivity while maintaining costs low. Thus, the purpose of this paper is to provide an analytical approach to determine an optimal reliability and maintainability allocation, trading off among system performance and parts investment costs. Two important considerations will be addressed in this regard : (ⅰ) determine the reliability and maintainability allocation of parts which maximizes a given production index, having fixed the total cost of investments ; and (ⅱ) determine the reliability and maintainability allocation which minimizes the total cost of investments, having fixed a minimum acceptable level of productivity. The procedure proposed in this paper is able to provide to managers and designers useful indications on the reliability and maintainability characteristics of parts in series -parallel systems. And this heuristic model is a decision support tool for contractors who are involved in large scale design projects such as ship and aircraft design. Numerical examples prove that an approximate expression of the average throughput rate is sufficiently accurate to be used in a numerical optimization method.

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HSS 컨테이너 터미널에서의 장치장 블록 배치 효율성 비교 (A Comparison of the Efficiency of HSS Yard Layout at Container Terminal)

  • 하태영;최상희
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 추계학술대회 논문집(제1권)
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    • pp.345-352
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    • 2006
  • 본 연구의 목적은 HSS 장치시스템에 대한 2가지 블록배치안(수평, 수직방향)의 효율성을 평가하는 것이다 수평배치형은 터미널의 선석방향과 평행하게 장치블록을 배열하는 형태이며, 수직배치형은 선석방향과 직교되게 블록을 배치하는 설계형태를 말한다. 이러한 장치장의 블록배치형태에 따라 야드시스템과 이송시스템의 하역성능이 달라지기 때문에 효율적인 설계가 요구된다고 할 수 있다. 이에, 본 연구에서는 HSS 장치시스템의 2가지의 블록배치안에 대해 장치용량, 생산성, 시설투자, 반출입 외부트럭의 서비스면에서 그 효율성을 상호 비교해 보았다.

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스마트공장을 위한 빅데이터 애널리틱스 플랫폼 아키텍쳐 개발 (Developing a Big Data Analytics Platform Architecture for Smart Factory)

  • 신승준;우정엽;서원철
    • 한국멀티미디어학회논문지
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    • 제19권8호
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    • pp.1516-1529
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    • 2016
  • While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.