표제지

목차

Abstract 9

제1장 서론 13

제1절 연구배경과 목적 13

제2절 연구범위 및 방법 16

제3절 연구의 구성 18

제2장 물류표준화 및 기업의 물류성과 20

제1절 물류표준화의 이론적 배경 20

1. 물류표준화의 구성요소 20

2. 물류표준화의 대상 27

3. 물류표준화에 따른 기업의 물류성과 28

제2절 유닛로드시스템(Unit Load System) 32

제3절 물류표준화 선행연구 39

1. 포장 42

2. 운송 46

3. 보관 49

4. 하역 55

5. 물류정보 59

제3장 분석모형 및 가설설정 71

제1절 분석모형 및 연구방법 71

1. 분석모형 71

2. 연구방법 73

제2절 가설설정 73

1. 포장의 물류표준화에 따른 고객만족과 물류성과 73

2. 운송의 물류표준화에 따른 고객만족과 물류성과 76

3. 보관의 물류표준화에 따른 고객만족과 물류성과 77

4. 하역의 물류표준화에 따른 고객만족과 물류성과 79

5. 물류정보의 물류표준화에 따른 고객만족과 물류성과 80

제4장 가설검증과 분석결과 84

제1절 표본특성 84

제2절 기초 통계분석 86

제3절 타당성 분석 87

1. 포장 89

2. 운송 91

3. 보관 93

4. 하역 95

5. 물류정보 97

제4절 가설검증 99

1. 포장요인과 고객만족간의 가설 검증결과 100

2. 포장요인과 물류성과간의 가설 검증결과 102

3. 운송요인과 고객만족간의 가설 검증결과 103

4. 운송요인과 물류성과간의 가설 검증결과 104

5. 보관요인과 고객만족간의 가설 검증결과 105

6. 보관요인과 물류성과간의 가설 검증결과 106

7. 하역요인과 고객만족간의 가설 검증결과 107

8. 하역요인과 물류성과간의 가설 검증결과 109

9. 물류정보요인과 고객만족간의 가설 검증결과 110

10. 물류정보요인과 물류성과간의 가설 검증결과 112

제5장 결론 및 시사점 114

제1절 연구결과의 요약 114

제2절 연구의 한계점 및 추후 연구과제 120

참고문헌 122

부록 : 설문지 134

표목차

〈표 2-1〉 주요 파렛트의 운송용기 적재효율 분석 21

〈표 2-2〉 물류기기의 대분류 26

〈표 2-3〉 물류표준화의 대상 28

〈표 2-4〉 부문별 물류표준화에 따른 기대효과 29

〈표 2-5〉 포장모듈 표준화의 효과평가 척도 32

〈표 2-6〉 물류분야 KS 현황 33

〈표 2-7〉 ULS 운영방법 35

〈표 2-8〉 T-11형 파렛트 선정의 의의 38

〈표 2-9〉 국내 물류표준화 관련 선행연구 요약 41

〈표 2-10〉 국내외 물류표준화 관련 포장부문 선행연구 요약 45

〈표 2-11〉 국내외 물류표준화 관련 운송부문 선행연구 요약 49

〈표 2-12〉 국내외 물류표준화 관련 보관부문 선행연구 요약 54

〈표 2-13〉 국내외 물류표준화 관련 하역부문 선행연구 요약 58

〈표 2-14〉 국내외 물류표준화 관련 물류정보부문 선행연구 요약 67

〈표 4-1〉 측정변수와 설문문항 84

〈표 4-2〉 설문지 회수와 유효 설문지수(N＝222) 85

〈표 4-3〉 표본의 일반적 특성(N＝222) 86

〈표 4-4〉 요인별 물류표준화 및 고객만족·물류성과 기초통계(N＝222) 87

〈표 4-5〉 포장의 물류표준화 요인분석(N＝222) 90

〈표 4-6〉 포장의 물류표준화에 따른 고객만족과 물류성과 요인분석(N＝222) 91

〈표 4-7〉 운송의 물류표준화 요인분석(N＝222) 92

〈표 4-8〉 운송의 물류표준화에 따른 고객만족과 물류성과 요인분석(N＝222) 93

〈표 4-9〉 보관의 물류표준화 요인분석(N＝222) 94

〈표 4-10〉 보관의 물류표준화에 따른 고객만족과 물류성과 요인분석(N＝222) 95

〈표 4-11〉 하역의 물류표준화 요인분석(N＝222) 96

〈표 4-12〉 하역의 물류표준화에 따른 고객만족과 물류성과 요인분석(N＝222) 97

〈표 4-13〉 물류정보의 물류표준화 요인분석(N＝222) 98

〈표 4-14〉 물류정보의 물류표준화에 따른 고객만족과 물류성과 요인분석(N＝222) 99

〈표 4-15〉 포장의 고객만족 다중회귀분석 결과 100

〈표 4-16〉 포장의 물류성과 다중회귀분석 결과 102

〈표 4-17〉 운송의 고객만족 다중회귀분석 결과 103

〈표 4-18〉 운송의 물류성과 다중회귀분석 결과 104

〈표 4-19〉 보관의 고객만족 다중회귀분석 결과 105

〈표 4-20〉 보관의 물류성과 다중회귀분석 결과 107

〈표 4-21〉 하역의 고객만족 다중회귀분석 결과 108

〈표 4-22〉 하역의 물류성과 다중회귀분석 결과 109

〈표 4-23〉 물류정보의 고객만족 다중회귀분석 결과 111

〈표 4-24〉 물류정보의 물류성과 다중회귀분석 결과 112

그림목차

〈그림 1-1〉 연구의 흐름도 19

〈그림 2-1〉 ULS의 개념 34

〈그림 3-1〉 분석 기본모형 72

This research aims to explore the effects of logistics standardization examined by previous studies on customer satisfaction and business logistics performance of enterprises under the rapidly changing logistics environment. To accomplish the purpose, this research conducted the investigation and analysis of effects of logistics standardization on customer satisfaction and business logistics performance of enterprises through previous studies and verified these effects based on the analyzed research materials. In particular, this research conducted the multiple regression analysis of the relation among the degree of components of logistics standardization (e.g. package, transportation, storage, load and unload and logistics information), and customer satisfaction and business logistics performance. The results of empirical analyses by effect are as follows.

First, we conducted the multiple regression analysis to verify three research hypotheses. As a result, there appeared significant items of standard pallet and efficiency. According to Hypothesis 1-1, the standard pallet exerted a positive influence of customer satisfaction. Contrary to this, Hypothesis 1-2 showed that efficiency exercises a negative influence on customer satisfaction as it is higher. Further, it can be thought that coherence does not affect customer satisfaction. Second, the multiple regression analysis for verifying three research hypotheses shows that there are two significant items pallet and efficiency. So, the standard pallet and efficiency have a positive effect on business logistics performance. However, efficiency exercise no effect on business logistics performance in that it is not statistically significant.

Third, three items material handling equipment for transportation, correlation, and efficiency were not signification according to the multiple regression analysis to verify three research hypotheses. Hence, these three items do not exercise any influence on customers. Fourth, we made the multiple regression analysis to verify three research hypotheses. As a result, one item efficiency showed a significance; hence, it has a positive effect on business logistics performance. However, other two items material handling equipment for transportation and correlation do not influence business logistics performance in that they are not statistically significant.

Fifth, we conducted the multiple regression analysis to verify two research hypotheses. This showed one significant item operability. According to Hypothesis 5-2, operability exerts a positive influence on customer satisfaction. Contrary to this, Hypothesis 5-1 tells us that cost has a negative effect on customer satisfaction; hence, it does not affect customer satisfaction. Six, we made the multiple regression analysis to verify two research hypotheses. As a result, we found one significant item operability. Hence, operability exercises a positive influence on business logistics performance. However, cost does not influence business logistics performance in that it is not statistically significant.

Seventh, we conducted the multiple regression analysis to verify three research hypotheses. As a result, one significant item material handling equipment was found. According to Hypothesis 7-2, material handling equipment has a positive effect on customer satisfaction. Contrary to this, Hypothesis 7-3 showed that material handling equipment exerts a more negative effect on customer satisfaction as its size is more standardized. So, productivity does not influence customer satisfaction. Eighth, the multiple regression analysis for verifying three research hypotheses shows that there are one significant item material handling equipment. Hence, the standard of material handling equipment exercises a positive influence on business logistics performance. However, material handling equipments and productivity do not influence business logistics performance in that both of them are not statistically significant.

Ninth, we made the multiple regression analysis to verify three research hypotheses. This showed one significant item information technology. According to Hypothesis 9-2, information technology exerts a positive influence on customer satisfaction. Contrary to this, Hypothesis 9-3 showed that acceptability exercise a more negative effect on customer satisfaction as it is higher. It can be thought that information literacy do not effect customer satisfaction. Finally, we made the multiple regression analysis to verify three research hypotheses. As a result, we found one significant item acceptability. Hence, acceptability exercises a positive influence on business logistics performance. However, information literacy and technology do not influence business logistics performance in that both of them are not statistically significant.

In conclusion, this research has the distinction of the empirical analysis of previous studies on components of logistics standardization (e.g. package, transportation, storage, load and unload and logistics information). In the future, it is needed to make a careful study of identifying factors of outcomes of enterprises (i.e. their business profits) by adding the relevant quantitative factors, in order to contribute to the efficient logistics of enterprises and its improvement. Further, we need to study additional effects relevant to the environment-friendly logistics system in the future, in that internationally increasing are the following two topics made by the developed countries: (1) logistics security and (2) carbon dioxide (CO₂) reduction for environmental preservation and management.