2006
DOI: 10.1300/j033v13n04_02
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Estimating Firm-Specific and Relational Properties in Interorganizational Relationships in Marketing

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Cited by 15 publications
(11 citation statements)
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“…However, data on what they called sentiments variables were not comparable; there were real differences in perceptions across the dyad, which they attributed to key informants' inability to make the complex social judgments needed to estimate attitudinal scores at the organization level. Anderson et al (2016) reported similar findings, noting significant agreement across dyads about structural relationship properties, such as formalization and centralization of decision-making, but lack of agreement on scores for dyadic sentiments, including domain consensus and accomplishments from the relationship. Based on their empirical findings in a similar study, Roh et al (2013) recommended that research that uses a single source must either be positioned so that the research question is targeted at only one side of a relationship or provide an explicit theoretical, practical, and empirical rationale for the validity of using this design to explain a polyadic construct.…”
Section: Source-spanning Researchmentioning
confidence: 63%
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“…However, data on what they called sentiments variables were not comparable; there were real differences in perceptions across the dyad, which they attributed to key informants' inability to make the complex social judgments needed to estimate attitudinal scores at the organization level. Anderson et al (2016) reported similar findings, noting significant agreement across dyads about structural relationship properties, such as formalization and centralization of decision-making, but lack of agreement on scores for dyadic sentiments, including domain consensus and accomplishments from the relationship. Based on their empirical findings in a similar study, Roh et al (2013) recommended that research that uses a single source must either be positioned so that the research question is targeted at only one side of a relationship or provide an explicit theoretical, practical, and empirical rationale for the validity of using this design to explain a polyadic construct.…”
Section: Source-spanning Researchmentioning
confidence: 63%
“…Anderson et al. () reported similar findings, noting significant agreement across dyads about structural relationship properties, such as formalization and centralization of decision‐making, but lack of agreement on scores for dyadic sentiments, including domain consensus and accomplishments from the relationship. Based on their empirical findings in a similar study, Roh et al.…”
Section: Problem 2: Respondent Biasmentioning
confidence: 79%
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“…However, to measure firm-specific properties, either side of the dyad likely can provide adequate information as long as there is no key informant bias (i.e., the position of the person surveyed cannot influence his or her perspective) and the impact of measure specificity (i.e., variance due to stable measurement properties, such as wording) is reduced through careful selection of the key informants and questionnaire construction (Anderson, Zerrillo, & Wang, 2006). Because EO and dependence are both firm-level constructs and can be measured as firm-level properties, either side of the partnership can support data collection.…”
Section: Suggestions For Operationalizationmentioning
confidence: 99%