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Essays on supplier responsiveness and buyer firm value - Nyenrode ...

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a similar offering. Hence, this locks the customer to the <strong>supplier</strong> <strong>and</strong> makes such br<strong>and</strong><br />

<strong>value</strong> sustainable.<br />

2.9 Limitati<strong>on</strong>s <strong>and</strong> Future Directi<strong>on</strong>s<br />

Many additi<strong>on</strong>al directi<strong>on</strong>s for future research can be suggested <strong>on</strong> the basis of the of the<br />

current research. The first <strong>and</strong> arguably the most fundamental limitati<strong>on</strong> deals with the<br />

research design. For instance, l<strong>on</strong>gitudinal managerial percepti<strong>on</strong> may not be c<strong>on</strong>sistent<br />

across the time period of measurement, which could imply that the relati<strong>on</strong>ships that we<br />

measured are not linear. The research design suggesti<strong>on</strong>s that future studies could utilize in<br />

order to improve up<strong>on</strong> our study are:<br />

L<strong>on</strong>gitudinal research design. Our cross-secti<strong>on</strong>al study allowed us to draw<br />

associati<strong>on</strong>s at best but not c<strong>on</strong>clusi<strong>on</strong>s about causality. To further improve this design,<br />

data collected for a time series analysis could allow the deducti<strong>on</strong> of evidence regarding<br />

causality. However, there has been some recent evidence that inferences from crosssecti<strong>on</strong>al<br />

studies about causality may not be much different from inferences about<br />

l<strong>on</strong>gitudinal studies (Rindfleisch et al., 2008).<br />

Limited sample of industries for depth. We traded off depth for width within our<br />

industry sectors. However, specific sectors may vary more with <strong>supplier</strong> resp<strong>on</strong>siveness<br />

than others. For instance, in the commodities industry, price may be more of a determining<br />

factor, whereas in the technical goods industrial sector the <strong>supplier</strong> resp<strong>on</strong>se may be a key<br />

determining factor as to whether relati<strong>on</strong>ships c<strong>on</strong>tinue. Future studies could c<strong>on</strong>centrate <strong>on</strong><br />

a few sectors <strong>and</strong> check the robustness of our findings across various moderators, such as<br />

market turbulence <strong>and</strong> increased technological risk.<br />

Quasi-experimental design using financial <strong>and</strong> perceptual data in t<strong>and</strong>em. Prior<br />

studies of market orientati<strong>on</strong> have found c<strong>on</strong>flicts between objective <strong>and</strong> subjective<br />

measures of performance (Narver & Slater, 1990). To determine whether our findings<br />

actually reflect real financial market sentiments <strong>and</strong> accounting data, future studies can use<br />

financial data in t<strong>and</strong>em with perceptual data.<br />

Other additi<strong>on</strong>s which might be added to the prior suggesti<strong>on</strong>s include:<br />

Wider comparis<strong>on</strong> of measurement metrics. In the current study, we <strong>on</strong>ly use<br />

idiosyncratic risk, which within itself is a important indicator of the potential returns<br />

involved with any relati<strong>on</strong>ship. However, risk is not the sole metric in the literature. Future<br />

studies might include a wider array of metrics to examine which are better indicators than<br />

others <strong>and</strong> why. For instance, examining idiosyncratic risk in comparis<strong>on</strong> to inventory<br />

turnover metrics or debt leverage metrics could be an interesting avenue.<br />

Comparis<strong>on</strong> of more strategies with <strong>supplier</strong> resp<strong>on</strong>siveness for reducing<br />

idiosyncratic risk. We <strong>on</strong>ly examine <strong>on</strong>e strategy, which is market orientati<strong>on</strong> as a means of<br />

reducing idiosyncratic risk. However, there are other strategies <strong>and</strong> orientati<strong>on</strong>s, such as a<br />

technology orientati<strong>on</strong> or a market leadership strategy. The ways in which these strategies<br />

<strong>and</strong> orientati<strong>on</strong>s influence strategic <strong>supplier</strong>-<strong>buyer</strong> relati<strong>on</strong>ships <strong>and</strong> their idiosyncratic risk<br />

outcomes could be of potential interest.<br />

2.10 C<strong>on</strong>clusi<strong>on</strong>s<br />

In summati<strong>on</strong>, we have empirically investigated a model that proposes a link between<br />

<strong>supplier</strong> resp<strong>on</strong>siveness <strong>and</strong> <strong>buyer</strong> cash flows in an inter-organizati<strong>on</strong>al c<strong>on</strong>text. We<br />

have found that, to a certain extent, <strong>supplier</strong> resp<strong>on</strong>siveness indirectly affects <strong>buyer</strong><br />

cash flows through the moderating of IdRR <strong>and</strong> <strong>supplier</strong> br<strong>and</strong> <strong>value</strong>. Specifically, we<br />

found that market orientati<strong>on</strong> has a negative relati<strong>on</strong>ship with IdRR. This is an<br />

72

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