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

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Table 2.18 Questionnaire Items and Codes Item Response Scale Code 1.This supplier has high quality information regarding their channel partners (e.g., retailers, distributors, and us). 2.The supplier seems to be driven by the customer’s (your) perspective in new product development efforts. Extremely agree =1, Agree=2, Neutral=3, Disagree=4, Extremely disagree=5 Extremely agree =1, Agree=2, Neutral=3, Disagree=4, Extremely disagree=5 SIQ CustNPD 3.The supplier’s strategy in the marketplace optimally utilizes all of its various functional departments. 4.How satisfied are you with this supplier’s overall fairness and honesty while dealing with you? 5.How satisfied are you with the sales support provided by the manufacturer's local sales representative? 6.To what extent does being associated with the strategic supplier’s brand give you leverage with your customers? 7.How likely are you to repurchase from these suppliers? 8.To what extent does your supplier help you manage your inventory? Extremely agree =1, Agree=2, Neutral=3, Disagree=4, Extremely disagree=5 Extremely satisfied=1, Satisfied=2, Neutral=3, Dissatisfied=4, Extremely dissatisfied=5 Extremely satisfied=1, Satisfied=2, Neutral=3, Dissatisfied=4, Extremely dissatisfied=5 Highly positive=1, Positive=2, Neutral=3, Negative=4, Highly negative=5 Extremely likely=1, Likely=2, Neutral=3, Unlikely=4, Extremely unlikely=5 Highly helps=5, Helps=4, Neutral=3, Problematic=2, Highly problematic=1 CF Fair Sales AssBrand RP IM 9.To what degree does your strategic supplier influence your cash conversion cycle? Definitional clarification: The cash conversion cycle is the time duration in which a firm is able to convert its resources into cash. It is actually the total time period required to first convert resources into inventories, then inventories into finished goods, then goods into sales, and then sales into cash. Highly positively=5, Positively=4, Neutral=3, Negatively=2, Highly negatively=1 CCC 10.To what extent will your strategic supplier influence your future cash flow growth and stability? Extremely positive influence=1 Positive influence=2, Neutral=3, Negative influence=4, Extremely negatively=5. BFV In the second step, we investigated the model’s identification. The initial full, 38-item model was unidentifiable. However, after a repeated process of reducing the number of observed variables, we finally achieved a good model fit and identification with 10 items. Model identification is measured by the difference between the number of distinct sample moments (45) and the distinct parameters to be estimated (23). The resulting degrees of freedom are 22, indicating that the model has been identified. The reduction was attained by looking at the modification indices and low standardized regression weights. Table 2.21 presents the recommended fit indices and our measurement model’s actual fit indices. Our model fit indices are excellent. 60
In the third step, we used maximum likelihood estimation in AMOS to estimate the model. The recommended sample size is between 100-150, but valid results have also been found with smaller sample sizes of up to 50 (Hair et al., 2006).Therefore, since our sample size of 164 is over the 100 threshold and well above the minimum size of 50, we decided to use the maximum likelihood option. Another technique that we could have used was asymptomatically distribution free, which offers an advantage over all other techniques since it does not require normally distributed data. However, as the data we are using is within the acceptable range of the normal limit, this issue is not a consideration for us. In addition, asymptomatically distribution free requires larger sample sizes than our current sample size of 164. Therefore, we decided not to use it. We also used the options of fitting the saturated and independence models, minimization history, standardized estimates, and squared multiple correlations. The latter two components would eventually help us to estimate the average variance that was extracted and the reliability of the findings. The standardized residual covariances are less than two, which means the measurement model is acceptable. Another criterion is that the standardized regression weights should be above 0.5 (i.e., preferably 0.7). All of our measures, as presented in Table 2.19, fulfill this criteria. A close examination of the standardized regression weights within the CFA model indicates that none is extremely close to one. This result provides evidence that multicollinearity is not a problem with our data. The highest standardized regression weight we have is 0.838. Table 2.19 represents the average variance extracted (AVE) for each the constructs in the model tested. AVE is the shared amount of variance indicators have with a construct. The minimal acceptable level as a rule of thumb is 50%. Two of our constructs buyer satisfaction and IdRR pass the 50% threshold. Supplier responsiveness is close to the 50% threshold and supplier brand value does has bad construct validity. However, in Chapter 4 when we repeat this analysis using a sub sample of publically listed companies from the data used in Chapter 2 and we find that the construct supplier brand value satisfies the criteria of surpassing the 0.5 threshold for AVE. Table 2.19 Average Variance Extracted Construct Observed Variable (SRW) Squared Multiple Correlations Supplier Responsiveness SIQ (.773) .598 Supplier Responsiveness CustNPD (.643) .414 Supplier Responsiveness CF (.631) .398 Average Variance Extracted 47 % IdRR CCC (.682) .465 IdRR IM (.796) .633 Average Variance Extracted 54 % Supplier Brand Value AssBrand (.645) .415 Supplier Brand Value RP (.579) .335 Average Variance Extracted 37.5% Buyer Satisfaction Sales (.838) .703 Buyer Satisfaction Fairness (695) .483 Average Variance Extracted 59.2 % SRW=Standardized Regression Weights. 61
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ISBN 978-90-8980-055-8 © M. Abrahi
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Examination Committee Supervisor: P
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2.3 DEVELOPMENT OF THE CONCEPTUAL M
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5.1 RESEARCH FINDINGS 114 5.2 OVERA
Page 10 and 11: List of Tables Table 2.1 Representa
Page 12 and 13: PREFACE Oscar Wilde once said, “I
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Using the findings of our current s
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iii) iv) Indeed, there may not be m
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uyer firm performance through a ser
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specifically highlighted the import
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5.5 Practical Implications From a m
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Summary in English This dissertatio
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is that, when developing marketing
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isk by 0.98 standard deviations. Su
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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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erkennen dat dit niet altijd een mo
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ij de vraag of cultureel risico voo
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Businessweek. (2012). S&P/BusinessW
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-industry-09012011.html Grewal, R.,
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Langerak, F. (2001). Effects of mar
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Quelch, J. (2007). How to brand an
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Verhoef, P. C., & Leeflang, P. S. H
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1. The name of the company where yo
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9.The supplier seems to have good i
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17. The supplier takes a very long
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25. If the supplier were to find ou
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33.Does your strategic supplier als
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41.To what degree do those specific
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Supplier Brand Value 51.How likely
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Appendix B Scatter Plot Diagrams fo
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