[논문]IOS 활용의 관계적 관점 분석

한현수; 최영진

IOS 활용의 관계적 관점 분석
Relationship Perspective Analysis for IOS Usage 원문보기

經營科學 = Korean management science review, v.27 no.3, 2010년, pp.87 - 98

Abstract ▼ AI-Helper

In this paper, we drew upon IMP group's Interaction model to investigate the contributing impact of Inter-organizational system (IOS) on performance through enhancing inter-organizational relationship. While most extant literature studied the contribution of IOS from transaction efficiency perspective, the relational aspect of IOS contribution on the supply chain was addressed only by a few researches. As such, we intended to fill this gap of the IOS research stream. The conceptual model was developed, with reference to process theory, to analyze how the relational perspective could be applicable to IOS impact on performance. With the 129 sample data collected at the firm level,structural equation model using the LISREL was employed to validate the proposed research model. The empirical results supported the hypotheses such as the extent of IOS usage positively influences the interaction between the firms, which thereby enhances the extent of inter-firm partnership and performance. The results help better understanding the strategic use of IOS from relationship perspective.

주제어

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문제 정의

As such, this paper addresses this research gap of how the IOS could influences the nontransactional inter-organizational relationship. Indeed, we intended to theorize the distinguished benefits of IOS usage accountable for the gains resulting from partnership enhancement.
The contribution of this study is to theorize the relationship model that encompasses the effect of IOS usage on firm performance through interaction process of information exchange and social exchange. We believe that the model provides a better understanding on how the IOS could be utilized to enhance the performance.
Their study suggested significant relational view paradigm shift compared to prevailed transaction oriented exchange focus. The focus of the IMP model is on the factors which lead to close relationship between buyer and seller. They identified four elements which are exchanged by buyer and seller：a product or service, money, information, and sociality.

가설 설정

H1-1：The level of IOS usage positively influences the level of information exchange.
H2-1：The level information exchange positively influences the level of trust.
H2-2：The level of social exchange positively influences the level of trust.
H2-3：The level of information exchange positively influences the level of commitment.
H2-4：The level of social exchange positively influences the level of commitment.
H3-1：The level of trust positively influences the level of firm performance.
H3-2：The level of commitment positively influences the level of firm performance.
H4：The level of IOS usage positively influences the level of firm performance.

제안 방법

In order to analyze the data collected from the survey, we adopted a two-stage analysis for structural equation modeling in which the measurement model was first estimated. Subsequently, a process much like factor analysis was used, with the measurement model fixed in the second stage when the structural model was estimated (Anderson and Gerbing [2]).
Confirmatory factor analysis was first conducted on each construct independently to validate the scale, since each variable was measured by multi-item constructs. Second, an overall confirmatory factor analysis was conducted on all items. To validate the measurement model, three types of validity were assessed：content validity, convergent validity, and discriminant validity of the instrument.
Second, an overall confirmatory factor analysis was conducted on all items. To validate the measurement model, three types of validity were assessed：content validity, convergent validity, and discriminant validity of the instrument.

대상 데이터

Among them, we collected 145 questionnaires. Next, total 129 questionnaires were used in this research, after excluding 16 questionnaires which contained extreme quotients data and uncompleted items. The demography of the 129 samples is presented in [Table 1].
Finally, firm performance was measured in terms of supply chain performance (Iacovou and Benbasat[16]). The measures included 22 items for 6 constructs.
The survey study was conducted with the small and medium sized supplier firms in Korea. We first selected 235 small and medium sized firms that implemented IOS at least six months before.

이론/모형

The interaction process variables were developed by revising the instrument proposed by Kalafatis [18]. The measures of the partnership quality variables were based on the commitment- trust theory (Morgan and Hunt [26]) and the relationship theory (Mohr and Spekman [25]). Finally, firm performance was measured in terms of supply chain performance (Iacovou and Benbasat[16]).
As illustrated in [Figure 1], our research model was developed to depict the successive causal relationships between the IOS usage, interaction process, partnership, and performance. The model was constructed with reference to process theory which implies a set of causations consisting of sequential, necessary conditions (Markus and Robey [22]). The process model focuses on a sequence of events in order to explain how and why particular outcomes are reached.

성능/효과

The statistical test results indicated that overall fitness of the other model was guaranteed with the chi-square result was significant X²=105.13, d.f = 81, normed X²= 1.298. And, the values of GFI, AGFI, and CFI were 0.

후속연구

Secondly, this study was conducted as a snapshot research without considering the dynamic nature of partnership. On the base of this research, further research could be expandable in the fields of IOS and supply chain collaboration.
The sample profile was more focused on manufacturing sector and the data was collected only from limited Korean companies. Secondly, this study was conducted as a snapshot research without considering the dynamic nature of partnership. On the base of this research, further research could be expandable in the fields of IOS and supply chain collaboration.

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