The brand new detailed analytics regarding, and you will inter-correlation matrix certainly one of, independent details are given in Desk I. Suggest thinking range between 2.92 having thought of individual argument (PPC) to help you 5.68 for personal character (PR). Frequency delivery of one’s production (maybe not found here however, provided upon demand) by reacting communities reveals ISM that have thirty two.8 per cent, CLM which have 30 %, ASQ which have 20.one percent and you can APICS having sixteen.one percent. In the event that returns is categorized by job headings, nearly 34 % came from director profile, followed by directors (20.1 percent), CEO/President/COO (19 %), have chain specialist (8 percent), customers and you may representatives (5.dos % per) and others (3.cuatro per cent).
Pertinent statistics to the some demographic details is placed in Dining table II. The duration of providers that have a specific lover ranges from season so you can 50 years having a mean away from 8.couple of years (average = half dozen age). The typical “man-days” for each partner spends face-to-deal with is all about 97 “man-days” annually (average = twenty-five weeks) that have a wide version ranging from one-day to just one,800 days. More 74 per cent of the business might have been restored between no so you’re able to 100 percent. It seems that few also have strings lovers very own inventory out of the people; only 1.07 per cent out of participants owned the latest partner’s inventory. (1)
The OLS regression model was used to test Hypothesis 1 through Hypothesis 6. The model appears to be fairly satisfactory with adjusted R-square (0.756) and F-value (56.5, p < 0.01) and seems to support that the research model fits well into the data. The results from OLS regression are summarized in Table III.
Consistent with H1, a respondent firm’s asset specificity (RAS) is negatively related to trust in the partner, but the relationship is marginally significant (p < 0.1). It is assumed that the firm's concern about a partner's investment in specific assets is the main route that lowered its trust in partners, given that opportunistic behavior is always possible.
The second hypothesis was also supported. The partner’s asset specificity (PAS) has a significantly positive impact on trust (t = 3.475; p < 0.01).
Behavioral uncertainty (BU), measured by decision-making uncertainty, is negatively associated with trust in a partner as hypothesized (t = -5.202; p < 0.01). Therefore, H3 is supported. The impact of behavioral uncertainty on trust and other subsequent business decisions is becoming more important due to the increasing uncertainty in the ever-changing business environment in the post-modern world. Continuous, two-way communication should be implemented so as to lower the level of uncertainty in supply chain partnerships.
Information sharing has been cited by many studies (e.g., Bowersox arabisches Dating et al. 2000) as the most critical agent in the trust-building process of supply chain implementation. 438; p < 0.05). Also, a path analysis was conducted in order to confirm the mediating role of information sharing on behavioral uncertainty, and the degree of relationship between behavioral uncertainty and trust. The result is shown in Figure 2. The path model seems to be acceptable based on several benchmarking statistics. The model appears to indicate that information sharing reduces the degree of uncertainty (t = -4.146; p < 0.01), which in turn enhances the level of trust (t = -; p < 0.01). Accordingly, H4 is supported.
As expected in H5-A, the level of perceived satisfaction (SAT) has a positive and significant impact on the level of trust (t = 2.482; p < 0.05). Any business relationship that results in a sustained degree of satisfaction usually creates an environment where the trust-building process becomes much more conducive. This study seems to support such an argument.
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