Robert W. Palmatier

Bio: Robert W. Palmatier is an academic researcher from University of Washington. The author has contributed to research in topics: Relationship marketing & Marketing research. The author has an hindex of 44, co-authored 111 publications receiving 13479 citations. Previous affiliations of Robert W. Palmatier include University of Cincinnati & University of Missouri.

Factors Influencing the Effectiveness of Relationship Marketing: A Meta-Analysis

Abstract: Relationship marketing (RM) has emerged as one of the dominant mantras in business strategy circles, though RM investigations often yield mixed results. To help managers and researchers improve the effectiveness of their efforts, the authors synthesize RM empirical research in a meta-analytic framework. Although the fundamental premise that RM positively affects performance is well supported, many of the authors' findings have significant implications for research and practice. Relationship investment has a large direct effect on seller objective performance, which implies that additional meditated pathways may explain the impact of RM on performance. Objective performance is influenced most by relationship quality (a composite measure of relationship strength) and least by commitment. The results suggest also that RM is more effective when relationships are more critical to customers (e.g., service offerings, channel exchanges, business markets) and built with an individual person rather than a selling firm (which partially explains the mixed effects between RM and performance reported in previous studies).

Factors Influencing the Effectiveness of Relationship Marketing: A Meta-Analysis

Abstract: Relationship marketing (RM) has emerged as one of the dominant mantras in business strategy circles, though RM investigations often yield mixed results To help managers and researchers improve the effectiveness of their efforts, the authors synthesize RM empirical research in a meta-analytic framework Although the fundamental premise that RM positively affects performance is well supported, many of the authors’ findings have significant implications for research and practice Relationship investment has a large, direct effect on seller objective performance, which implies that additional meditated pathways may explain the impact of RM on performance Objective performance is influenced most by relationship quality (a composite measure of relationship strength) and least by commitment The results also suggest that RM is more effective when relationships are more critical to customers (eg, service offerings, channel exchanges, business markets) and when relationships are built with an individual person rather than a selling firm (which partially explains the mixed effects between RM and performance reported in previous studies)

The Role of Customer Gratitude in Relationship Marketing

Abstract: Most theories of relationship marketing emphasize the role of trust and commitment in affecting performance outcomes; however, a recent meta-analysis indicates that other mediating mechanisms are at work. Data from two studies—a laboratory experiment and a dyadic longitudinal field survey—demonstrate that gratitude also mediates the influence of a seller's relationship marketing investments on performance outcomes. Specifically, relationship marketing investments generate short-term feelings of gratitude that drive long-lasting performance benefits based on gratitude-related reciprocal behaviors. The authors identify a set of managerially relevant factors and test their power to alter customer perceptions of relationship marketing investments to increase customer gratitude, which can make relationship marketing programs more effective. Overall, the research empirically demonstrates that gratitude plays an important role in understanding how relationship marketing investments increase purchase int...

A Comparative Longitudinal Analysis of Theoretical Perspectives of Interorganizational Relationship Performance

Abstract: Four theoretical perspectives currently dominate attempts to understand the drivers of successful interorganizational relationship performance: (1) commitment–trust, (2) dependence, (3) transaction cost economics, and (4) relational norms. Each perspective specifies a different set and distinct causal ordering of focal constructs as the most critical for understanding performance. Using four years of longitudinal data (N = 396), the authors compare the relative efficacy of these four perspectives for driving exchange performance and provide empirical insights into the causal ordering among key interorganizational constructs. The results demonstrate the parallel and equally important roles of commitment–trust and relationship-specific investments as immediate precursors to and key drivers of exchange performance. Building on the insights gleaned from tests of the four frameworks, the authors parsimoniously integrate these perspectives within a single model of interfirm relationship performance con...

Effect of Service Transition Strategies on Firm Value

Abstract: The authors investigate the effectiveness of service transition strategies for generating shareholder value by evaluating secondary data pertaining to 477 publicly traded manufacturing firms during 1990–2005. The impact of a firm's transition to services on firm value (as measured by Tobin's q) remains relatively flat or slightly negative until the firm reaches a critical mass of service sales (20%–30%), after which point they have an increasingly positive effect. Furthermore, the effect of service sales on firm value depends on both firm and industry factors. Service transition strategies are more effective at enhancing value when the service offerings are related more to the firm's core business and when firms have more available resources (i.e., resource slack). The impact of adding services to core products on firm value amplifies as industry turbulence increases but diminishes when the firm's core products are in high-growth industries.

Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis

Abstract: Baron and Kenny’s procedure for determining if an independent variable affects a dependent variable through some mediator is so well known that it is used by authors and requested by reviewers almost reflexively. Many research projects have been terminated early in a research program or later in the review process because the data did not conform to Baron and Kenny’s criteria, impeding theoretical development. While the technical literature has disputed some of Baron and Kenny’s tests, this literature has not diffused to practicing researchers. We present a nontechnical summary of the flaws in the Baron and Kenny logic, some of which have not been previously noted. We provide a decision tree and a step-by-step procedure for testing mediation, classifying its type, and interpreting the implications of findings for theory building and future research.

Estimation and Inference in Econometrics

Abstract: Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Economic growth and income inequality

Abstract: We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline