Table 2.9 Matrix of Supplier Br<strong>and</strong> Value Comp<strong>on</strong>ents Supplier Br<strong>and</strong> Value 1.To what extent does being associated with your strategic <strong>supplier</strong>'s br<strong>and</strong> give you leverage with your customers? Comp<strong>on</strong>ent 2.How likely are you to repurchase from these <strong>supplier</strong>s? .744 3.How likely are you to tolerate a price increase by your strategic <strong>supplier</strong>? .583 Extracti<strong>on</strong> Method: Principal Comp<strong>on</strong>ent Analysis. KMO = 0.574, Chi-Square= 22.576, p
een m<strong>on</strong>itored to make sure they gave the most accurate reply possible. However, since it was an Internet survey, we were able to look at whether informants rapidly clicked through a survey by examining the time it took them to complete the survey <strong>and</strong> whether they just choose <strong>on</strong>e opti<strong>on</strong> as an answer throughout the survey. Hence, we removed those resp<strong>on</strong>ses that had resp<strong>on</strong>ses that had <strong>on</strong>e resp<strong>on</strong>se filled throughout the questi<strong>on</strong>naire. For example, if resp<strong>on</strong>dents just choose the opti<strong>on</strong> 1 for all the answers. This, as a result, reduces the potential CMV bias in our sample resp<strong>on</strong>se. Two comm<strong>on</strong> survey procedures that were particularly pr<strong>on</strong>e to CMV are single-point format (i.e., using a five- or seven-point scale throughout the survey) <strong>and</strong> comm<strong>on</strong> scale anchors (for example, 1= str<strong>on</strong>gly agree <strong>and</strong> 5= str<strong>on</strong>gly disagree). For the first c<strong>on</strong>cern, we had to make a trade off <strong>and</strong> accept a single point format almost throughout the survey. There were two main reas<strong>on</strong>s for our decisi<strong>on</strong>, such as time c<strong>on</strong>cerns (i.e., since we needed a number of questi<strong>on</strong>s answered in a limited amount of time <strong>and</strong> the use of a different point format would increase the amount of time required per survey filling) <strong>and</strong> the fact that our use of panel data would significantly increase the per resp<strong>on</strong>se cost. For the comm<strong>on</strong> scale anchors, we decided to use different terminology throughout the survey, hence reducing the error caused by these anchors (Rindfleisch et al., 2009). Marketing has lower CMV error than other social science disciplines (Rindfleisch et al., 2009). CMV is a cause for c<strong>on</strong>cern because it reduces the researchers’ ability to correctly critically infer informati<strong>on</strong> from the data (Rindfleisch et al., 2009). Specifically, it increases the probability of type I <strong>and</strong> type II errors. One important way in which comm<strong>on</strong> method variance increases is as the level of c<strong>on</strong>struct abstracti<strong>on</strong> increases (Rindfleisch et al., 2009). Some scholars have suggested a three-level tax<strong>on</strong>omy for categorizing the level of c<strong>on</strong>struct abstracti<strong>on</strong> (Crampt<strong>on</strong> & Wagner, 1994; Rindfleisch et al., 2009). The first <strong>and</strong> least abstract levels of c<strong>on</strong>structs are those that can be externally verified, for example, advertising expenditure. The sec<strong>on</strong>d <strong>and</strong> middle level of abstracti<strong>on</strong> are the outer expressi<strong>on</strong> of internal states. For example, <strong>firm</strong> experience in high technology markets. The third <strong>and</strong> most abstract level is an internal state, such as customer satisfacti<strong>on</strong>. Based <strong>on</strong> this tax<strong>on</strong>omy, we have <strong>on</strong>e variable that is at the most abstract level (i.e., <strong>buyer</strong> satisfacti<strong>on</strong>); we have two variables that are moderately abstract (i.e., market orientati<strong>on</strong> <strong>and</strong> IdRR), <strong>and</strong> two variables that are at the least abstract level (i.e., <strong>supplier</strong> br<strong>and</strong> <strong>value</strong> <strong>and</strong> <strong>buyer</strong> <strong>firm</strong> <strong>value</strong>). Therefore, we tried to find existing scales wherever possible, as they have been tried <strong>and</strong> tested, <strong>and</strong> help minimize any fears of CMV error in our study. 2.4.2 Sample Table 2.12 provides a descripti<strong>on</strong> of the sample. Our sample was collected by using the GMI <strong>on</strong>line panel <strong>and</strong> we received a resp<strong>on</strong>se rate of 6% in the United States. Firms were chosen <strong>on</strong> the basis of whether they were situated in the United States. Whenever possible we tried to collect <strong>firm</strong>s that were publically listed. Although the <strong>firm</strong>s in our sample have a variety of products <strong>and</strong> have had relati<strong>on</strong>ships that range from transacti<strong>on</strong>al to strategic in nature, we <strong>on</strong>ly investigated their strategic relati<strong>on</strong>ships. The sample frame was comprised of 164 purchasing managers of strategic products. We sent out the questi<strong>on</strong>naire via email to the GMI panel in three waves according to D<strong>on</strong>ney <strong>and</strong> Can<strong>on</strong>’s (1997) recommendati<strong>on</strong>s. Specifically, the entire list (N=2800) was mailed a questi<strong>on</strong>naire <strong>and</strong> a letter requesting their participati<strong>on</strong> <strong>and</strong> <strong>on</strong>e week later, a reminder was sent via email to those participants who had not resp<strong>on</strong>ded. A total of 194 resp<strong>on</strong>ses were received; of that total, 164 were finally used in our analysis. Thirty were discarded because they were incomplete or incorrectly filled. For instance, 55
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Jaowrski and Kohli (1993) provided
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collectivist culture and a Confucia
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Overwegende dat Verhoef en Leeflang
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van de waarde te communiceren dat d
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Businessweek. (2012). S&P/BusinessW
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Langerak, F. (2001). Effects of mar
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