• 제목/요약/키워드: service delivery

검색결과 1,692건 처리시간 0.03초

미국 노스다코타주 농업연구와 농촌지도의 특징과 한국의 농촌지도사업에 주는 시사점 (Characteristics of North Dakota State University Extension Service in USA)

  • 박덕병;고햄 개리
    • 농촌지도와개발
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    • 제8권1호
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    • pp.73-83
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    • 2001
  • North Dakota State University (NDSU) Extension Service's purpose was to create a learning partnership that helped adults and youth enhance their lives and communities. NDSU Extension Service has maintained a strong blend of county, regional and state staff to support their program delivery. Experiment Station and Extension Service were integrated both in their job duties and at the administrative level. While researchers at the campus and center carried out both research and outreach activities with producers, Extension staff both at county and center carried out some research activities as well as outreach activities. The strong county-based Extension network was the main avenue for program delivery. Extension agents also provide programs on a multi-country basis. Program planning includes county advisory councils, multi-county advisory councils, support groups, and commodity groups, such as farmers and business people. Planning was used to shape their long-range plan of work along with adjustments to their annual activities. Funding of the NDSU Extension Service has been a blend of federal, state, and county dollars. In the past few years, grant dollars and agency partnerships have increased. Local input into extension programs, combined with support and funding from state and federal partners, enabled the extension service to truly meet the needs of people.

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국내택배시스템에 개미시스템 알고리즘의 적용가능성 검토 (Application of Ant System Algorithm on Parcels Delivery Service in Korea)

  • 조원경;이종호
    • 대한교통학회지
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    • 제23권4호
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    • pp.81-91
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    • 2005
  • 외판원 문제(TSP; Traveling Salesman Problem)는 경로탐색 최적화문제로 '풀리지 않는 문제'(NP-complete; None-deterministic Polynomial-time complete)에 속하므로 경유지 수가 많아짐에 따라 급격히 계산시간이 증가한다. 때문에 적용시 정확한 최적해보다는 최적 근사해에 대한 발견적 (heuristic) 알고리즘들을 이용한다. 본 연구는 TSP에 적용되는 발견적 알고리즘으로 개미 시스템알고리즘(ASA; Ant System Algorithm)을 검토하고. 국내 택배시스템에 ASA의 적용가능성을 검토하였다. ASA는 NP-complete 문제를 위한 발견적 알고리즘으로, 1990년대 초 M. Dorigo 등에 의해 연구되어졌다. ASA는 개미들이 이동간에 페로몬이라는 일종의 화학물질을 분비할 때, 이동경로 상에 분비된 페로몬 누적에 따라 확률적 방법으로 경로를 결정하게 된다. 이러한 ASA는 NP-complete문제에서 계산시간이나 최단경로탐색에서 우수한 결과를 얻는 것으로 발표되고 있으며, 교통분야에서 차량경로탐색뿐만 아니라 네트워크 관리 및 도로선형계획 등 그 적용범위가 점차 확대되어지고 있다. 현재 국내 택배시스템에서 차량배차시 명확한 기준이 없으며 주로 담당 운전자의 경험과 판단에 의해 결정된다. 본 연구에서는 국내택배시스템에 ASA의 적용가능성을 검토하였다. 담당 운전자의 경로결정이 가로 10.0km, 세로 10.0km의 범위에서 인접이웃알고리즘(NNA: Nearest Neighbor Algorithm)을 따른다고 가정했을 때와 랜덤한 20개의 경유지를 가질 때, 그리고 경유지 수를 10개씩 증가하여 200개까지 증가할 때를 비교 분석한 결과, ASA이 NNA 보다 우수하였다. ASA을 국내택배시스템에 적용시 운송비용 절감 등의 운영개선을 기대할 수 있으며, 특히 영세한 택배업체에서 보다 저렴하고 우수한 택배시스템을 구축할 수 있을 것으로 보인다.

서비스 유통 관점에서 아동복지기관 서비스질의 전달에 대한 인식과 이용자 만족도에 미치는 영향 (Effects of Child Welfare Service Quality Delivery and Customer Satisfaction from the Service Distribution Perspective)

  • 엄경호;김진우
    • 유통과학연구
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    • 제13권8호
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    • pp.91-96
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    • 2015
  • Purpose - This study reviews the delivery of child welfare service quality and examines how the dimensions of the variables of customer satisfaction impact the results from a service distribution perspective. This study differs from existing research since it proposes that a recognized level of child welfare service quality is necessary to achieve customer satisfaction from the perspective of service distribution. Research design, data, and methodology - This study explores child welfare service quality factors that affect customer satisfaction. The study examines and analyzes demographic variables, service quality dimensions, and the causal relationships between child welfare service quality and customer satisfaction. Data from 300 child welfare cases were collected from organizations in Korea in the areas of Busan and Gyeongsangnamdo. The methods of analysis are as follow. First, using descriptive analysis frequency, the percentages were evaluated to assess the demographic variables. Second, Cronbach's α was used to test reliability and to evaluate the internal consistency of the measuring of items. Third, multiple regression analysis was conducted to find out how much the independent variable can affect customer satisfaction. Results - Five factors of child welfare service quality were identified in three categories: process quality (assurance, empathy), results quality (reliability, caring), and physical environment quality (tangibles). There were significant differences among the effects of the child welfare service quality factors on customer satisfaction. A multiple regression analysis was done with process quality (assurance, empathy), results quality (reliability, caring) and physical environment quality (tangibles) to test the hypothesis: assurance (t=2.434, p<0.05), empathy (t=3.677, p<0.001), reliability (t=3.271, p<0.05), caring (t=4.380, p<0.000), and tangibles (t=3.654, p<0.01) had a positive influence on child welfare service quality from a service distribution perspective. Therefore, hypotheses 1, 2, 3, 4, and 5 were supported. In addition, multiple regression analysis on the effects of the variables showed that caring (β=0.273), empathy (β=0.246), tangibles (β=0.265), reliability (β=0.152), and assurance (β=0.131) all had a positive and strong influence on child welfare service quality from a service distribution perspective. Therefore, all child welfare service quality categories (process, results and physical environment quality) were positively statistically significant. Conclusion - In this study, the main findings can be summarized as follows. First, the quality of service of child welfare consists of three dimensions of quality: process quality, results quality, and physical environment quality. The results of the multiple regression analysis also showed that caring and reliability were confirmed as more meaningful variables by the increasing loading factors. Second, the family members involved in child welfare proposed caring as the most important variable among the dimensions of service quality. Third, the results of the hypothesis testing using regression showed that all child welfare service quality factors had a positive impact on customer satisfaction. The results of the study could provide useful information to help increase the effectiveness of delivery strategies for child welfare service quality from a service distribution perspective.

기술이 서비스 혁신과 기업 성과에 미치는 영향에 대한 연구: 국내 지식 서비스 기업을 중심으로 (Investigating the Effect of Technology on Service Innovation and Innovation Performance: Based on Korean Knowledge Intensive Business Service Firms)

  • 유현선
    • 경영정보학연구
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    • 제18권4호
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    • pp.43-67
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    • 2016
  • 서비스와 기술 간 융합 현상이 가속화되고 있는 비즈니스 환경 속에서 서비스 분야에서 기술의 역할은 점차 확대되고 있다. 지난 30년 동안 많은 연구에서 서비스 혁신에서 기술의 중요성을 강조해 왔음에도 불구하고, 서비스 혁신에서 기술의 역할이 무엇이고 어떻게 기업 성과에 영향을 미치는지에 대한 논의는 아직까지 진행 중에 있다. 기존 문헌에서는 서비스 혁신 성공과 기업성과에 중요한 영향을 미치는 기술에 대해 다양한 역할들을 제시하고 있으나, 아직까지 서비스 혁신에서 기술의 명확한 역할에 대해 이론적으로 실증적으로 명확하게 규명한 연구는 거의 이루어지지 않았다. 따라서 기업이 기술을 활용을 통해 성공적으로 서비스 혁신을 수행하기 위해서는, 기술이 서비스 혁신과 기업성과에 미치는 영향에 대한 연구가 선행될 필요가 있다. 이러한 문제점을 해결하기 위해 본 연구에서는 서비스 혁신에서 기술의 역할이 무엇인지 규명하고자 하며, 기술, 서비스 혁신, 그리고 기업 성과 간의 인과 관계를 이론적이고 실증적으로 규명하고자 한다. 따라서 본 연구의 목적은 다음과 같다: 1) 서비스 혁신에서 기술의 역할을 파악하고자 한다: 2) 기술, 서비스 혁신, 그리고 기업성과 간의 관계를 분석하고자 한다. 이를 위해 본 연구는 통합적인 관점을 기반으로 기존 연구를 통해 4개의 서비스 혁신 지향성(예, 서비스 창출, 서비스 전달, 고객 상호작용, 그리고 기술)을 도출하고, 국내의 193개의 지식 서비스 기업을 대상으로 수집된 데이터를 기반으로 기술, 서비스 혁신 그리고 기업 성과 간의 인과 관계를 분석하였다. 본 연구의 결과, 기술 지향성은 서비스 창출 지향성과 서비스 전달 지향성에는 선행자로서 긍정적인 영향을 미치는 것으로 나타난 반면, 고객 상호작용 지향성에는 촉진자로서 상호작용하여 기업성과에 긍정적인 영향을 미치는 것으로 나타났다. 기술 지향성에 선행적으로 그리고 조절적으로 영향을 받은 모든 서비스 혁신 활동은 기업 성과에 긍정적이고 유의한 영향을 미치는 것으로 나타났다.

퍼지셋 질적 비교 분석을 활용한 서비스 혁신 패턴 연구 (Investigating Service Innovation Patterns: A Fuzzy-Set Qualitative Comparative Analysis)

  • 유현선
    • 경영정보학연구
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    • 제19권3호
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    • pp.127-154
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    • 2017
  • 서비스와 기술 간 융합 현상이 가속화되고 있는 비즈니스 환경 속에서 서비스 혁신 활동을 간명하게 파악하고 이들 간의 관계에 대한 직관을 얻을 수 있는 새로운 패턴분류체계의 필요성이 증대하고 있다. 본 연구는 서비스의 상호연관 되고 다차원적인 특성을 고려하여, 퍼지셋 질적 비교분석 방법을 채택하여 서비스 혁신 패턴을 분석하고자 한다. 이를 위해 본 연구는 기존 연구를 기반으로 4개의 서비스 혁신 차원(i.e., 서비스 창출, 서비스 전달, 고객 상호작용, 그리고 기술)과 서비스 혁신 환경(기업 규모) 등 5개의 원인 변수들을 도출하고 기업 성과(매출성장률)를 결과 변수로 두고 분석을 시도하였다. 국내의 198개의 지식 서비스 기업들을 대상으로 데이터가 수집되었으며, 이를 기반으로 분석한 결과 높은 기업 성과를 보이는 4개의 서비스 혁신 패턴과 낮은 기업 성과를 보이는 4개의 서비스 혁신 패턴이 도출되었다. 연구결과를 종합하면 다음과 같다. 고객 상호작용 혁신은 높은 기업성과에 유의한 영향을 미치는 가장 중요한 핵심 조건이나, 단독으로 수행되기보다 기술 혁신이나 서비스 전달 혁신 활동과 상호작용을 하였을 경우 높은 기업성과를 보였다. 기술 혁신은 비기술 혁신(i.e., 서비스 창출, 서비스 전달, 고객 상호작용)과 결합하였을 경우 높은 기업성과를 가져오는 서비스 혁신의 핵심 활동인 것으로 나타났으나, 이 경우 결합되는 하나 이상의 비기술 혁신 활동이 핵심 조건으로 수행되어야만 기업성과에 유의한 영향을 미치는 것으로 나타났다. 기업혁신은 서비스 혁신에서 단독으로 수행될 경우 오히려 낮은 기업성과를 가져왔다. 서비스 창출 혁신과 서비스 전달 혁신은 기술 혁신과 모두 핵심 조건으로 결합되어 수행되었을 때 높은 기업성과를 보였다.

약국서비스 만족에 영향을 미치는 요인 분석 - 환자체감시간과 실 조제시간 비교를 중심으로 - (Analysis of Factors Affecting on Satisfaction of Pharmacy Service)

  • 박성희;서준규;윤혜설;홍진영;박군제
    • 한국의료질향상학회지
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    • 제5권2호
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    • pp.202-215
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    • 1998
  • Purpose : To shorten processing time for variety of medical affairs of the patient at the outpatient clinic of a big hospital is very important to qualify medical care of the patient. Therefore, patient's waiting time for drug delivery after doctor's prescription is often utilized as a strong tool to evaluate patient satisfaction with a medical care provided. We performed this study to investigate factors influencing patient satisfaction related with waiting time for drug delivery. Methods : The data were collected from July 21 to August 12, 1998. A total 535 patients or their families who visited outpatient clinics of Inha University Hospital were subjected to evaluate the drug delivery time and the level of their satisfaction related, which were compared with those objectively evaluated by Quality Improvement Team. The reliability of the scale was tested with Cronbach's alpha, and the data were analyzed using frequency, t-test, ANOVA, correlation analysis and multiple regression. Results : The mean drug delivery time subjectively evaluated by the patient (16.1 13.0 min) was longer than that objectively evaluated (10.9 7.6 min) by 5.2 min. Drug delivery time objectively evaluated was influenced by the prescription contents, total amount or type of drug dispensed, etc, as expected. The time discrepancy between two evaluations was influenced by several causative factors. One of those proved to be a patient's late response to the information from the pharmacy which the drug is ready to deliver. Interestingly, this discrepancy was found to be more prominent especially when waiting place for drug delivery was not less crowded. Other factors, pharmaceutical counseling at the pharmacy, emotional status or behavior of a patient while he waits for the medicine, were also found to influence the time subjectively evaluated. Regarding the degree of patient satisfaction with the drug delivery, majority of patients accepted drug delivery time with less than 10 min. It was also found to be influenced by emotional status of the patient as well as kindness or activity of pharmaceutical counselor. Conclusion : The results show that, besides prescription contents, behavior pattern or emotional status of a patient, environment of the waiting place, and quality of pharmaceutical counseling at the pharmacy, may influence the patient's subjective evaluation of waiting time for drug delivery and his satisfaction related with the service in the big hospital. In order to improve patient satisfaction related with waiting time for drug delivery, it will be cost effective to qualify pharmaceutical counseling and information system at the drug delivery site or waiting place rather than to shorten the real processing time within the pharmacy.

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Consumers' Choice for Fresh Food at Online Shopping in the Time of Covid19

  • LEE, Su-Han;KWAK, Min-Kyu;CHA, Seong-Soo
    • 유통과학연구
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    • 제18권9호
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    • pp.45-53
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    • 2020
  • Purpose: This study aims at investigating consumers' choice in online food purchasing behavior and the impact on repurchase for fresh food delivery which has recently shown rapid growth in Korea. The study focuses on the user experience factors af fecting satisfaction and intention to continuously use the online food market. Research design, data and methodology: The survey was conducted by 309 people who had purchased fresh food online, and the analysis was conducted using SPSS and AMOS. Structural Equation Modeling was used for the analysis for the verification of hypotheses. The factors that consumers value when ordering fresh food delivery services were defined as system quality, service quality, commodity quality, brand characteristics, and economics from the preceding study and the relationship between satisfaction and willingness to repurchase was verified. Results: When consumers purchase fresh food online, system quality, product quality, brand characteristics, and economics have had a significant impact on satisfaction. Meanwhile, of the five optional attributes of consumers, only economic efficiency has been verified to have a statistically significant impact on repurchase intentions. Conclusions: The results of the study suggested factors that consumers consider important when ordering fresh food online, providing basic data for companies to develop related strategies.

간선과 지선간 절충을 통한 개선된 크로스도킹 모델 개발 (Development of the Enhanced Cross-Docking Model through Compromise between Line-haul and Shuttle Service)

  • 김기홍;신승준;최시영;강경식
    • 대한안전경영과학회지
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    • 제10권4호
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    • pp.199-207
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    • 2008
  • Many logistics enterprises have made efforts to achieve low costly and high efficient logistics network. The cross-docking system can be a good solution for them. However, it requires tight schedule and all-night operation inevitably for realization of ideal cross-docking. These causes the difficulty of the attainment of daily delivery target and the leave of delivery service persons. In this paper, we develop the line-haul and shuttle service compromised cross-docking model in order to solve the problems practically. We apply the storage process with the cross-docking system and the direct cross-docking between line-haul and shuttle services. The simulation model validates the shorter delivery time by the developed model than the present model.

Factors Affecting Consumer's Loyalty in Food Delivery Application Service in Thailand

  • LIMSARUN, Tanakorn;NAVAVONGSATHIAN, Ampol;VONGCHAVALITKUL, Busaya;DAMRONGPONG, Nantaporn
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.1025-1032
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    • 2021
  • The study investigates factors affecting the loyalty of Food Delivery Application (FDA) service in Thailand. This study employs quantitative research methodology with a non-probability sampling method to draw 510 FDA samples from the FDA users in Thailand. The online questionnaires with a Cronbach's alpha coefficient of 0.886 were used as a research tool to collect data from samples. By using the Structural Equation Modeling (SEM) to analyze data, the results show that trustworthiness, social influence, system design, and task-technology fit affect the user's technology acceptance, which also show the significant relationship with the loyalty of FDA users in Thailand. The study checks the harmony with the statistics; χ2 = 258.686, df. =160, χ2/df. = 1.616, p-value = 0.050, CMIN/DF = 1.616, GFI = 0.960, AGFI = 0.969, TLI = 0.953, CFI = 0.965, RMSEA = 0.047, significant level at 0.05, along with testing the weight factor. In conclusion, the research model was harmonious with the empirical data at the significant level 0.05. The finding of this study suggested that the FDA service provider might apply this research finding to develop a greater understanding of the FDA's customer loyalty, as well as determine marketing strategies, identify opportunities, and create a competitive advantage in the future.