• 한국산학기술학회논문지
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• 제19권7호
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• pp.174-182
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• 2018

현대 기업재무와 관련된 관심 주제들 중. 본 연구에서는 학문적, 실무적인 측면에서 추가 연구가 지속적으로 요구된다고 판단되는 연구개발비 지출에 관한 내용이 분석되었다. 즉, 뉴욕증권거래소와 국내 유가증권시장에 상장된 기업들을 표본자료로 활용하여 연구개발비의 재무적 결정요인에 대한 실증적 분석이 시행되었다. 설정된 3가지의 가설 관련하여, 첫 번째 가설에서는 한국과 미국의 기업들을 포함하는 표본자료들 기준, 전기의 연구개발비 비중, 부채비율, 수익성 그리고 현금유동성 등의 설명변수들이 동 연구개발비 비중에 유의한 영향을 주는 재무적 요인들로서 판명되었다. 두 번째 가설검정에서는 한국과 미국 기업들간의 상대적인 관점에서의 실증분석이 시행되어 비선형 형태의 전기의 연구개발비 비중, 고성장성 기업, 비이자성법인세감면효과, 성장성 그리고 한,미 간의 연구개발비의 회계 처리 방법 등이 양국 간의 표본기업들의 재무적 차이를 나타내는 요인들로 판명되었다. 추가적으로 분위회귀모형을 활용한 (연구개발비 관련 변수들을 포함한) 설명변수들과 기업 성장성과의 관계에서 뉴욕증권거래소에 상장된 기업들의 경우 낮은 분위들에서만 전기의 연구개발비 비중과 성장성 간에 통계적인 유의성을 나타내었다. 본 연구결과에서 판명된 미국의 선진자본시장과 한국의 신흥자본시장 간의 연구개발비 결정요인 상 유사점과 상이점은 주주 측면에서 적정 연구개발비 비중에 도달하기 위한 새로운 발견을 제시할 수 있다고 판단된다.

• 한국통신학회논문지
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• 제33권8C호
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• pp.575-582
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• 2008

본 논문에서는 ITU-T의 SG15에서 채택된 G.729.1 광대역 음성 코덱을 ARM926EJ-S(R) 프로세서 코어에 적용하기 위해 기본연산자 및 산술기능 함수를 포함한 G.729.1 코덱 프로그램 일부를 어셈블리어로 변환하여 실시간으로 동작하도록 구현한 절차 및 결과를 기술하였다. G.729.1은 $8{\sim}32kbps$의 가변 전송률을 갖는 ITU-T 표준 광대역 음성 코덱이며, 입력신호는 8kHz 또는 16 kHz로 샘플링 되어 샘플 당 16 비트로 양자화된 PCM 신호를 입력받는다. 이 코덱은 앞서 표준화된 G.729 및 0.729A와 상호 호환이 가능하며 음질 향상을 위해 기존의 협대역($300{\sim}3,400Hz$)에 비해 대역폭을 광대역($50{\sim}7,000Hz$)으로 확장한 버전이다. 실시간으로 구현된 G.729.1 광대역 음성 코덱은 32kbps에서 인코더와 디코더 부분이 각각 약 31.2 MCPS 및 22.8 MCPS의 복잡도를 가지며, 실제 임베디드 시스템에서의 실행 시간은 인코더와 디코더 평균 6.75ms와 4.76ms로 총 11.5ms가 걸렸다. 또한 이 코덱은 ITU-T에서 제공하는 모든 테스트 벡터에 대해 비트 단위로 정확하게 시험하여 통과하였으며, 실제 인터넷 전화기에 적용한 실시간 음성통화에서 정상적으로 동작하였다.

• 대한간호학회지
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• 제22권4호
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• pp.552-568
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• 1992

Recent improvements in the standard of living, national income and medical care, and a decline in the infant death rate which have occurred related to economic growth and modernization, have led to a longer average life-span and a higher ratio of elderly people in the total population, Therefore, not only in the field of nursing science, but also in the field of many other discipline, issues concerning the elderly have been given increasing interest. A great deal of effort has been spent on increasing the quality of life for elderly people. This study was conducted to analyze the correlation between social support and quality of life. The sample consisted of III subjects residing at home and 107 subjects residing in institutions all of whom were over 65 years of age. The data collection period was from October 23, 1990 to January 26, 1991. Social support was measured using the Norbeck social Support Questionnaire developed by Norbeck, translated by Oh, Ka Sil and quality of life was measured using the QOL scale developed by No, You Ja. Data were analyzed using pereentages, t-test, Pearson Correlation Coefficient and ANOVA. The results of this study are as follows : 1. There was a statistically signifivant difference in the level of social support between the two groups (t＝-8.83, p＜.001), The elderly at home reported a much higher level of social support. 2. There was a statistically significant difference in the level of QOL between the two groups (t＝-5.77, p＜.001) . The elderly at home reported a much more positive quality of life. 3. There was a positive correlation between social support and QOL for the elderly at home ard it was statistically significant (r＝.32, p＜.001). 4. There was a postitive collealtion between social support and QOL for the elderly in institutions and it was also statistically significant (r＝.19, p＜.05). 5. The relationship between the general characteristics of the elderly at home and the variables of social support and of QOL were as follows ; 1) according to sex(t＝10.57, p＜.01) and the number of offspring(F＝6.19, p＜.01), there was a statistically significant difference in social support. 2) according to amount of Pocket money, there was a statistically significant difference in QOL(F＝2.98, p＜.05). 6. The relationship between the general characteristics of the elderly in institutions and the two variables were as follows ; 1) according to sex(t＝6.24, p＜.05), the number of offspring(F＝6.16, p＜.001) and religion (F＝2.58, p＜.05), there was a statistically significant difference in social support. 2) according to religion, there was a statistically significant difference in QOL(F＝2.90, p＜.05). In conclusion, it can be said that social support is an important variable related to QOL in the elderly and that social support levels are higher for the elderly residing at home. Therefore, more specific and objective approaches and efforts are needed to effectively use resources to maintain the elderly at home and to enhance social support available to the elderly in institutions and thereby increase QOL regardless of residence.

• Asian Pacific Journal of Cancer Prevention
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• 제17권4호
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• pp.1861-1864
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• 2016

Although early diagnosis of thyroid nodule type is very important, the diagnostic accuracy of standard tests is a challenging issue. We here aimed to find an optimal combination of factors to improve diagnostic accuracy for distinguishing malignant from benign thyroid nodules before surgery. In a prospective study from 2008 to 2012, 345 patients referred for thyroidectomy were enrolled. The sample size was split into a training set and testing set as a ratio of 7:3. The former was used for estimation and variable selection and obtaining a linear combination of factors. We utilized smoothly clipped absolute deviation (SCAD) logistic regression to achieve the sparse optimal combination of factors. To evaluate the performance of the estimated model in the testing set, a receiver operating characteristic (ROC) curve was utilized. The mean age of the examined patients (66 male and 279 female) was $40.9{\pm}13.4years$ (range 15- 90 years). Some 54.8% of the patients (24.3% male and 75.7% female) had benign and 45.2% (14% male and 86% female) malignant thyroid nodules. In addition to maximum diameters of nodules and lobes, their volumes were considered as related factors for malignancy prediction (a total of 16 factors). However, the SCAD method estimated the coefficients of 8 factors to be zero and eliminated them from the model. Hence a sparse model which combined the effects of 8 factors to distinguish malignant from benign thyroid nodules was generated. An optimal cut off point of the ROC curve for our estimated model was obtained (p=0.44) and the area under the curve (AUC) was equal to 77% (95% CI: 68%-85%). Sensitivity, specificity, positive predictive value and negative predictive values for this model were 70%, 72%, 71% and 76%, respectively. An increase of 10 percent and a greater accuracy rate in early diagnosis of thyroid nodule type by statistical methods (SCAD and ANN methods) compared with the results of FNA testing revealed that the statistical modeling methods are helpful in disease diagnosis. In addition, the factor ranking offered by these methods is valuable in the clinical context.

• 한국산림과학회지
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• 제69권1호
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• pp.28-35
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• 1985

전남(全南) 광주(光州)에 소재(所在)하는 22년생(年生)의 리기다 및 리기테다소나무임분(林分)에 $200m^2$의 표준지(標準地)를 설정(設定)하고, 지상부(地上部)의 현존량(現存量) 및 년순생산량(年純生産量)을 분석(分析) 추정(推定)하였다. 각(各) 표준지(標準地)에 직경급별(直徑級別)로 안배한 9 주(株)의 표본목(標本木)을 벌채(伐採)하여 1m의 계층(階層)으로 절단(切斷)하고 간(幹)(Ws), 지(枝)(Wb), 엽(葉)(Wl) 부위(部位)로 나누어 건중량(乾重量)을 계산(計算), $D^2H$와의 상대생장식(相對生長式)을 이용(利用)하여 물질생산량(物質生産量)을 추정(推定)하였다. 생산구조면(生産構造面)에서 광합성부(光合成部)가 리기다소나무는 지상(地上) 6.2m, 리기테다소나무는 지상(地上) 9.2m 높이에서 시작되었고, 수관(樹冠)의 최대광합성층(最太光合成層)은 각각(各各) 11.2m, 12.2m 높이에서 나타났다. 지상부(地上部)의 현존량(現存量)은 리기다소나무가 71.61 t/ha, 리기테다소나무가 142.32 t/ha이었고, 년순생산량(年純生産量)은 각각(各各) 10.81 t/ha/yr, 10.46 t/ha/yr이었다. 현존량밀도(現存量密度)는 리기다소나무가 $0.56kg/m^3$, 리기테다소나무가 $0.96kg/m^3$ 이었다. 잎의 생산능률(生産能率)을 추정(推定)한 바 NAR은 리기다소나무가 1.32 kg/kg/yr, 리기테다소나무가 1.00 kg/kg/yr이었고, 잎의 간재생산능률(幹材生産能率)은 각각(各各) 0.97 kg/kg/yr, 0.81 kg/kg/yr 이었다.

• 임산에너지
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• 제7권1호
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• pp.11-21
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• 1987

잣나무림과 신갈나무림의 물질생산량과 영양물질의 현존량을 추정하기 위하여 경기도 광주군 도척면에 위치하는 22년생 임지에 10x10m 조사구 10개씩을 설치하여 직경급을 안배한 표목본 10주씩을 벌목, 간(Ws), 지(Wb), 엽(Wl) 부위로 나누어 건중량을 측정, $D^2H$와 건중량과의 상대생장식에 의해 물질생산량을 추정하였다. 생산구조면에서 광합성부가 잣나무는 지상 4.2m, 신갈나무는 지상 6.2m에서 시작되었고, 수관의 최대광합성층은 각각 7.2m, 9.2m에서 출현하였다. 잎, 가지, 줄기의 건중량과 $D^2H$와의 상대생장식에서 두 수종 모두 유의성이 인정되었다. 현존량은 잣나무림이 152.07ton/ha(지상부 124.92ton/ha, 지하부 27.15t/ha), 신갈나무림이 156.02t/ha(지상부 120.65t/ha, 지하부 35.37t/ha)이었고, 연간순생산량은 각각 24.66t/ha$\cdot$yr이었고, 간재생산능률은 각각 0.62kg/kg$\cdot$yr, 1.10kg/kg$\cdot$yr이었다. 영양물질의 현존량은 잣나무림에서는 질소, 칼슘, 마그네슘은 대부분이 광물질토양층($0\~30$cm)에, 인과 카리는 교목층에 대부분이 함유되어 있었으며, 신갈나무림에서는 질소, 인, 카리, 마그네슘은 대부분이 광물질토양층에, 칼슘은 대부분이 교목층에 분포하였다. 8개월간($3\~11$월)에 채취된 낙엽량은 잣나무림에서 4.013t/ha, 신갈나무림에서 3.490t/ha이었다.

• 임산에너지
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• 제7권1호
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• pp.1-10
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• 1987

우리나라 남부지방의 대표적 조림수종인 삼나무 20년생과 편백 25년생을 대상으로 $400m^2(20m{\times}20m)$의 조사구를 설정하고, 생산구조와 물질생산량을 조사하였다. 각 조사구로부터는 직경급별로 안배한 각 수종별 9주의 표본목을 벌채하여 1m의 계층으로 절단하고 줄기(Ws), 가지(Wb), 잎(Wl)부위로 나누어 생산량을 측정한 후 건조량을 계산하였다. 엽에 대해서는 소지로부터 엽을 분리하기가 어려우므로 소지의 양을 포함하여 엽량으로 하였다. 생산구조에 있어서 엽은 두 수종 모두 6.2m 부위에서부터 시작되었고 최대엽량부위는 수관의 2/3 지점으로서 거의 동일하게 나타났다. 현존량은 삼나무림 108.75ton/ha, 편백림 112.56ton/ha로 추정되었다. 현존량구성비는 삼나무림에서 줄기, 잎, 가지, 편백림에서는 줄기, 가지, 잎 순으로 서로 다르게 나타났다. 순생산량은 삼나무림 13.32ton/ha/yr로 추정되었으며, 구성비는 줄기, 잎, 가지 순으로 동일하게 나타났다. 생산능률면에서 순동화율을 삼나무림 1.10kg/kg/yr, 편백림 1.21kg/kg/yr, 건재생산능률은 0.71kg/kg/yr, 0.75kg/kg/yr, 현존량축적률은 삼나무림 8.61kg/kg/yr, 편백림 9.63kg/kg/yr로 각각 나타났다.

• 중소기업연구
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• 제39권3호
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• pp.57-76
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• 2017

오늘날 국내외 경기 침체로 전반적인 실업률이 상승하고 있는 상황에서도 대졸자들의 중소기업 취업 기피현상으로 인한 인력수급의 불균형과 사회적 불안요인은 여전히 발생하고 있다. 이러한 문제를 해결하기 위한 시사점을 제공하기 위하여 본 연구는 대학생들의 중소기업 취업에 관한 신념과 태도가 어떻게 중소기업 취업의도에 영향을 미치는지를 Ajzen의 계획된 행동이론(TPB: Theory of Planned Behavior)을 바탕으로 조사 분석하였다. 본 연구는 Ajzen이 제시하는 2단계 실증 조사방법에 따라 진행되었으며, 1단계 설문조사에서는 중소기업 취업과 관련된 부각된 신념, 규범적 준거인 및 통제요인을 추출하고 이를 바탕으로 2단계의 본 설문을 설계하여 조사를 실행하고 그 결과를 분석하였다. 자료의 분석기법으로는 2세대 다변량 분석기법에 속하는 구조방정식 모형 중 특히 PLS 구조방정식 모형을 이용하였다. 이는 본 연구가 탐색적 성격을 지니므로 공분산 기반 구조방정식보다 PLS 구조방정식이 보다 적합할 것이라는 판단에 따른 것이다. 연구 결과, Ajzen의 TPB 이론이 대학생들의 중소기업 취업의도를 설명하고 예측하는 데에도 매우 효과적인 모형임을 입증하였다. 우선, 성별 요인은 중소기업 취업의도와 영향요인 간에 유의적인 조절변수로 작용함을 보였다. 중소기업 취업과 관련하여 여학생들은 사회적 압력을 나타내는 주관적 규범에 가장 큰 영향을 받는 반면, 남학생들은 중소기업 취업의 결과에 대한 태도가 가장 중요한 요인으로 작용하였다. 또한 조사대상자들은 학업성적이 높을수록 중소기업을 기피하는 현상을 보였다. 본 연구의 결과는 중소기업들이 보다 유능한 대졸 취업자 채용을 위한 홍보와 채용결정에 유익한 시사점을 제공해 줄 수 있을 것이다. 추후 다양한 전공을 대상으로 추가적인 매개변수와 조절변수를 포함하는 후속 연구들이 요구될 것이다.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• 마케팅과학연구
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• 제20권3호
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• pp.269-277
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• 2010

现有文献表明, 影响服务业顾客忠诚的最重要因素是服务质量. 然而, 在服务质量是直接还是间接影响顾客忠诚方面, 学者们的观点有着明显的分歧. 目前, 中国国内专门针对移动通信行业服务质量与顾客忠诚之间关系的文章较少. 此外, 以往相关文献多是将顾客忠诚作为一个整体变量进行研究, 没有进一步将其细分为多个维度. 基于此, 本文拟通过实证研究来探析移动通信业服务质量各维度与顾客忠诚各维度之间的直接和间接影响机理, 其中选择顾客满意作为二者关系的中介变量, 希望研究结论能给国内移动通信企业的服务管理提供有效的理论指导. 为了使搜集到的数据有效, 本次调研范围仅限于黑龙江哈尔滨市, 调查对象为移动通信公司的用户. 本次调研采取随机抽样的方式, 共发放问卷350份, 收回问卷325份, 回收率为 92.9%. 剔除无效问卷, 有效问卷为289份, 即有效回收率为82.6%. 本文借鉴国内外现有文献所使用的量表, 这些量表已经在实证研究中得到验证. 本文提出六个假设, 总体而言, 只有四个假设没有得到支持. 为了验证服务质量构成要素量表的合理性, 本文对289份有效样本进行探索性因子分析. 同样, 对顾客忠诚的维度进行检验. 本研究采用Cronbach's ${\alpha}$系数来评价量表的信度. 本研究从内容效度, 结构效度和聚合效度三方面对问卷进行效度检验. 本研究对数据和模型的拟合优度进行检验, 以提高假设检验的准确程度. 通过文献资料的收集, 整理及数据处理, 本文提出了服务质量五维度模型以及服务质量与顾客忠诚度之间相互关系模型, 通过实证分析验证了有形性, 可靠性, 反应性, 保证性和关怀性是服务质量的五个构成要素, 验证了PZB对于服务质量的SERVQUAL的测量方法, 研究了移动通信服务质量各维度对顾客忠诚各维度的直接影响机理, 以及服务质量各维度如何通过顾客满意这一中介变量对顾客忠诚各维度的间接影响机理, 建立了相应的关系模型,并运用结构方程分析方法,对模型进行实证检验, 得出如下研究结论: 第一, 移动通信服务质量由有形性, 可靠性, 响应性, 保证性和移情性五个要素构成, 顾客忠诚由态度忠诚和行为忠诚两个维度构成. 在PZB设计的SERVQUAL量表基础上, 本文针对移动通信行业设计了服务质量测量量表, 通过探索性因子分析得出五个因子. 这五个因子与五构成要素基本一致, 说明服务质量五要素概念适用于移动通信行业. 同样, 对顾客忠诚量表进行因子分析, 得出两个因子, 与本文中的态度忠诚和行为忠诚相一致. 第二, 移动通信服务质量对顾客忠诚存在直接和间接的正向影响作用. 其中, 服务质量对态度忠诚有直接和间接的正向作用, 间接作用是通过顾客满意这一中介变量影响的; 服务质量对行为忠诚有直接和间接的正向作用, 间接作用是通过顾客满意和态度忠诚这两个中介变量影响的. 这说明移动通信服务质量越好, 顾客的满意度越高, 其对服务提供商的态度就越积极, 在行为上就越容易表现出对服务提供商的忠诚. 而且, 服务质量各维度对顾客忠诚各维度的影响机理是不同的, 比如: 有形性对顾客满意有直接的正向作用, 但对顾客忠诚却没有显著的直接作用; 保证性对顾客满意没有显著的直接作用, 但对顾客忠诚有直接和间接的正向作用. 第三, 顾客满意在移动通信服务质量与态度忠诚, 行为忠诚之间的具有显著的中介作用, 这说明服务质量的提高可以增加顾客的满意度, 而满意的顾客更容易成为忠诚的顾客; 而态度忠诚在移动通信服务质量与行为忠诚之间的具有显著的中介作用, 这说明顾客行为上表现出忠诚可能是虚假忠诚, 只有态度和行为都忠诚的顾客才是真正的忠诚顾客. 本文的研究结论对中国及其它国家的电信运营商如何提升服务质量有一定的借鉴意义. 本文存在两方面的局限性: 首先, 本研究仅在黑龙江哈尔滨地区进行问卷调研, 针对移动公司用户, 统计数据会存在一定的抽样误差, 影响最终的统计分析结果. 第二, 本研究主要探讨了服务质量对顾客忠诚的影响关系, 并引入了顾客满意作为中介变量, 但没有考虑其他可能影响顾客忠诚的因素, 例如顾客价值, 消费者特征等.