The purpose of this study is to find out the relationship between job fitness, organizational justice(distributive, procedural, interactional), job satisfaction, organizational trust, organizational commitment, and voluntary turnover intention in private organization such as in small fire in Korea. To identify the these relationships, the secondary data or past studies that were related with job fitness, organizational justice, job satisfaction, organizational trust, organizational commitment, voluntary turnover intention was collected and theoretically arranged. I made the theoretical proposed model to explain these relationships between the constructs, identify the operational definitions and 18 hypotheses was established, there was executed the survey of 262 in employees. Using the collected data, previous performances to confirm the construct validity and internal consistency by EFA(Exploratory Factor Analysis); i.e. factor analysis by SPSS, reliability by cronbach's a, and by the CFA(Confirmative Factor Analysis) and structural equations modelling the proposed model was tested by LISREL v. 8.52. The research came to the conclusions as follows: First, three perceived justice had the positive effect to the job satisfaction empirically. Second, procedural justice in three perceived justice only had the positive effect to the organizational trust empirically. Third, distributive justice in three perceived justice only had the positive effect to the organizational commitment empirically. Forth, job fitness had the positive effect to the organizational commitment, organizational trust, job satisfaction empirically in perspective. Fifth, I found the relationship between job satisfaction and organizational commitment, between job satisfaction and organizational trust was positive, between organizational commitment and trust. Finally, job satisfaction, organizational trust had not the positive effect directly, but indirect effect via organizational commitment was identified in voluntary turnover intention by empirical test.
Journal of the Korean Society of Clothing and Textiles
/
v.33
no.4
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pp.622-633
/
2009
I need to study variations which affect Chinese internet shopping-mall vendor and Chinese buyer's long term relationship and utilize that insight on marketing strategy. For that, I studied effect of shopping propensity, internet shipping-mall quality on satisfaction, trust, commitment and purchase intention of fashion products, mainly fashion goods consumers in their 20s-30s at Shanghai and Beijing. 453 respondents' survey was used for this study by random sample selection and analyzed through frequency analysis, factor analysis, regression analysis, cross-tab, ANOVA test with SPSS12.0. Through this study, I found out that Chinese fashion goods consumer can be categorized as information seeker, variety seeker and innovation seeker. Among them, innovation seeker was most sensitive on shopping mall's quality, satisfaction, trust, commitment and purchase intention and Chinese consumer's evaluation on internet shopping-mall' perceived quality affect satisfaction, absorption, trust and fashion goods purchase intention. Based on that, I need to understand more about target consumer before enter the market, because there is difference of shopping-mall quality, satisfaction, trust, absorption and purchase intention according to shopper's propensity and demographic factors.
This study examines the differences of enacting models and influential causes of benefit-sharing practices between Korean automobile networks and the Japanese networks. The case study method is chosen for this research because only small numbers of supply networks adopt benefit-sharing practices. I employ semi-structured interviews with managers from four automobile manufacturers and eight of their suppliers in South Korea and Japan. I find that Japanese automobile networks have adopted a higher level of trust-demanding, with a higher level of value-creating models such as supplier development, joint-new-product development. Whereas, the Korean networks have adopted the lower trust demanding, also less profitable models such as supplier's suggestion and buyer's suggestion. In terms of work-related cultural values, I find that Japanese networks emphasized collectivism. Both buyers and suppliers in the Japanese networks are supposed to have common causes. In contrast, Korean networks emphasized individualism. Both buyers and suppliers of Korea generally do not identify that they are common group members with a common cause. I also find that a slight differences of the enacting models and the causes between foreign-owned networks and domestic-owned networks within each country. Foreign-owned networks have adopted lower trust demanding, also less profitable models. The findings demonstrate that the cultural values have a decisive influence on the adoption of benefit sharing models for the networks in Japan, and South Korea.
Many firms have been utilizing SNSs such as Facebook and Twitter actively in order to boost interactions with customers that promote product and service innovations and effective marketing. Although positive outcomes of the customer interactions in SNSs are expected, there exist few studies on the effects of interactions between customers and firms in the SNS context. This study empirically examines how customer experiences in multi-dimensional interactions (i.e., pragmatic, sociability, usability, and hedonic interaction) in corporate SNSs influence customer trust in the firm, and how customer learning benefits are associated with firm benefits such as gaining customer trust. The results indicate that all four dimensions of customer interactions in SNSs have significant effects on customer learning benefits, which in turn significantly influence customer trust in the firm. Meanwhile, the results reveal that there are also direct relationships between specific dimensions of customer interactions in SNSs and the two dimensions of customer trust (i.e., ability-based and benevolence/integrity-based). Based on the findings, this study diagnoses the status of corporate SNSs in terms of collaboration with customers and provides practical implications for firms which attempt to capitalize on the multi-dimensional customer interactions in SNSs and to facilitate innovative activities with customers.
Journal of the Korean Society of Clothing and Textiles
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v.27
no.9_10
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pp.1124-1133
/
2003
The purpose of this study was to investigate relationships among partnership variables and sourcing performance. Partnership variables were included as: contract conditions, information sharing, communication, conflict, job understanding, monitoring, culture understanding, trust and commitment. Sourcing performance included perceived benefits and sourcing satisfaction. The survey research design was employed with the structured questionnaire. A sample of 104 Korean apparel firms' managers participated in this survey. Apparel firms selected for this study were casual, sports, children's wear firms doing actively international sourcing. For the data analysis, descriptive statistics (i.e., frequency, percent), factor analysis, correlation, and multiple regression analysis were used. Information sharing and job understanding were positively related with trust. That is to say, the better information sharing and the better job understanding apparel firms had higher scores of trust than others. Contract conditions, communication, conflict, and culture understanding were known as predictions of commitment to international outsourcing. The more trust firms had with their vendors, the more commitment the firms had in the international sourcing. This result showed that trust is the essential factor of commitment. Trust and commitment were significantly related with outsourcing performance (i.e., perceived benefits, satisfaction of the international sourcing). Partnership information of international sourcing assembled in the review of literature and the results from this empirical study may assist the domestic apparel firms to make better decision in the adoption process of international sourcing.
Collaboration works on R&D project have many characteristics in interoranizational relationships. There are many variables on explaining the their relationships. In the previous study, I chose some relevant variables and some hypotheses. Base on service marketing theories and relationship marketing perspective I suggest 5 hypotheses. Independent variables are fairness and quality, and dependent variable is loyalty. And trust are treated as the intervening variable between the independent variables and dependent variable. To test the research model and some hypothesis empirically, I collected the data using the questionnaire. Sample size was 448, it was enough to analyze statistically. Data were analysed using the SPSS and AMOS. In the previous study, H1($fairness{\rightarrow}trust$), H2($quality{\rightarrow}trust$), H5($trust{\rightarrow}loyalty$) were accepted, but H3 and H4 were rejected. The reason H3($fairness{\rightarrow}loyalty$) and H4($quality{\rightarrow}loyalty$) were not accepted might be attributed to the fact that trust was the mediating variable between fairness and loyalty, quality and loyalty. Specific research methodologies and statistical findings from AMOS were referred in the previous study(Jeong 2018). In this study, I suggested some hypotheses on the mediating role trust between fairness and loyalty and service quality and loyalty. Using the PROCESS-macro, I found that trust was the mediating variable between fairness and loyalty as well as service quality and loyalty. This research is the complementary and extended study from previous research.
The purpose of this study is to empirically examine the causal relationship of CSR activities, customer trust and CCID, customer behavior intention(B.I) in the relationship between CSR activities and customer behavior intention(B.I) in the insurance industry, thereby enable top management of insurance company to take it in their consideration that CSR activity help link to customer behavioral intention by customer trust in them and CCID. To achieve the purpose of the study, the hypothesis was established based on preceding research and theoretical background regarding CSR, trust, CCID, behavioral intention(B.I). And this study conducted AMOS statistical analysis based on effective 526 survey data collected from insurance customers across country through online research company. The result of this empirical study is as follows. First, insurance company's CSR activity has a positive impact on customer's trust and CCID, but it did not have a direct significant effect on the customer's behavioral intention(B.I). Second, both customer's trust and CCID have a positive and significant effect on customer's behavioral intention. Third, we have also found that both Trust and CCID played a mediating role between CSR activity and B,I. Fourth, it was found that authenticity did not moderate the enfluence relationship between CSR activity and Trust, CCID. The result of this study shows that insurance company's active CSR activity increase customer trust, thereby create a sense of unity between the customer and the company, In addition, it shows that when CSR activities are mediated by customer trust and CCID, it could lead to customer behavioral intention(B.I) such as repurchasing and positive word-of-mouth activities. to others. The result of this study will contribute to the future research on CSR literature and the marketing strategy of insurance companies.
Among the techniques for recommendation, collaborative filtering (CF) is commonly recognized to be the most effective for implementing recommender systems. Until now, CF has been popularly studied and adopted in both academic and real-world applications. The basic idea of CF is to create recommendation results by finding correlations between users of a recommendation system. CF system compares users based on how similar they are, and recommend products to users by using other like-minded people's results of evaluation for each product. Thus, it is very important to compute evaluation similarities among users in CF because the recommendation quality depends on it. Typical CF uses user's explicit numeric ratings of items (i.e. quantitative information) when computing the similarities among users in CF. In other words, user's numeric ratings have been a sole source of user preference information in traditional CF. However, user ratings are unable to fully reflect user's actual preferences from time to time. According to several studies, users may more actively accommodate recommendation of reliable others when purchasing goods. Thus, trust relationship can be regarded as the informative source for identifying user's preference with accuracy. Under this background, we propose a new hybrid recommender system that fuses CF and social network analysis (SNA). The proposed system adopts the recommendation algorithm that additionally reflect the result analyzed by SNA. In detail, our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and trust relationship information between users when calculating user similarities. For this, our system creates and uses not only user-item rating matrix, but also user-to-user trust network. As the methods for calculating user similarity between users, we proposed two alternatives - one is algorithm calculating the degree of similarity between users by utilizing in-degree and out-degree centrality, which are the indices representing the central location in the social network. We named these approaches as 'Trust CF - All' and 'Trust CF - Conditional'. The other alternative is the algorithm reflecting a neighbor's score higher when a target user trusts the neighbor directly or indirectly. The direct or indirect trust relationship can be identified by searching trust network of users. In this study, we call this approach 'Trust CF - Search'. To validate the applicability of the proposed system, we used experimental data provided by LibRec that crawled from the entire FilmTrust website. It consists of ratings of movies and trust relationship network indicating who to trust between users. The experimental system was implemented using Microsoft Visual Basic for Applications (VBA) and UCINET 6. To examine the effectiveness of the proposed system, we compared the performance of our proposed method with one of conventional CF system. The performances of recommender system were evaluated by using average MAE (mean absolute error). The analysis results confirmed that in case of applying without conditions the in-degree centrality index of trusted network of users(i.e. Trust CF - All), the accuracy (MAE = 0.565134) was lower than conventional CF (MAE = 0.564966). And, in case of applying the in-degree centrality index only to the users with the out-degree centrality above a certain threshold value(i.e. Trust CF - Conditional), the proposed system improved the accuracy a little (MAE = 0.564909) compared to traditional CF. However, the algorithm searching based on the trusted network of users (i.e. Trust CF - Search) was found to show the best performance (MAE = 0.564846). And the result from paired samples t-test presented that Trust CF - Search outperformed conventional CF with 10% statistical significance level. Our study sheds a light on the application of user's trust relationship network information for facilitating electronic commerce by recommending proper items to users.
Trust is essential for tax compliance. Various tax management issues might diminish taxpayer trust. As a result, as a measure of transparency in the services of the Indonesia's Directorate General of Taxes (DGT), a method for filing various taxpayer complaints is necessary. Whistleblowing is a service given by the DGT that accepts taxpayer issues and complaints. It may be accessed on the DGT's official website. This strategy was intended to increase compliance by instilling trust among taxpayers. This study aims to show how whistleblowing affects tax compliance by utilizing trust as a mediating variable. The study relied on 400 questionnaires issued directly to East Java I DGT Region taxpayers. SEM-PLS with the Smart-PLS tool was utilized for data analysis. According to the study's findings, whistleblowing positively impacts tax compliance, and trust partially mediates the effect of whistleblowing on tax compliance. The outcomes of this study provide empirical proof for the Slippery Slope Framework's contention that building trust is an essential technique for increasing taxpayer compliance.
Purpose This study investigates the effects of trust and distrust on intention to purchase in open market, based on the idea that trust and distrust can co-exist. Specifically, this study approached the effects of trust and distrust of the open market on the intention to purchase from a two-dimensional perspective, and examined trustworthiness as the antecedents of trust and distrust. Design/Methodology/Approach In this study, we conducted a questionnaire survey on consumers who have actually purchased a product from open markets in Korea for two months. As a result, 141 users are chosen for the sample. We apply PLS (Partial Least Squares) structural equation modeling (SEM) to verify our theoretical model using the software application SmartPLS 3.0. Findings First, trust in open market positively affects intention to purchase, whereas distrust in open market negatively affects intention to purchase. Second, the three antecedents of trust (i.e. three factors constituting trustworthiness such as ability, benevolence and integrity) affect trust in open market. Third, integrity negatively affects distrust in open market. Since integrity plays an important role in building both trust and distrust in open market, the operators of open market should pay attention to managing their integrity.
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