Exploring the Preference Structure for Online and Traditional Retail Formats

retail, structure, formats

The Role of Attitude Strength in Marketing Intelligence Use Concerning Customer Satisfaction

attitude, marketing, customer satisfaction

In Chains? Automotive Suppliers and Their Product Development Activities

A conceptual framework is developed and tested in which supplier downstream position in the supply chain, supplier innovation strategy and customer development commitment are seen as the antecedents of supplier product development activity. Using partial least squares (PLS), we analyze the results of a survey of 161 Swedish automotive suppliers and test a series of nested models to test our hypotheses. We demonstrate that the position of the supplier in the supply chain and its strategic focus on innovation not only have a direct impact on (actual) supplier product development activity, but that there is also an interaction effect, implying that the effects of strategy are contingent on the supplier???s supply chain position. Additionally, we find that customer development commitment does not have any significant direct effect on supplier product development activities, but that this relation is fully mediated by supplier innovation strategy. The meaning of the findings for developing a more extensive conceptual framework for understanding supplier product development activities, some managerial implications, and future research are discussed.supply chain;product development;supplier relations

On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies

The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and precision of parameter estimates of a formative SEM specification. Two distinctive scenarios (normal and non-normal data scenarios) are compared with the aid of a Monte Carlo simulation study for various covariance-based structural equation modeling (CBSEM) estimators and various partial least squares path modeling (PLS-PM) weighting schemes. Thus, this research is also one of the first to compare CBSEM and PLS-PM within the same simulation study. We establish that the maximum likelihood (ML) covariance-based discrepancy function provides accurate and robust parameter estimates for the formative SEM model under investigation when the methodological assumptions are met (e.g., adequate sample size, distributional assumptions, etc.). Under these conditions, ML-CBSEM outperforms PLS-PM. We also demonstrate that the accuracy and robustness of CBSEM decreases considerably when methodological requirements are violated, whereas PLS-PM results remain comparatively robust, e.g. irrespective of the data distribution. These findings are important for researchers and practitioners when having to choose between CBSEM and PLS-PM methodologies to estimate formative SEM in their particular research situation.PLS, path modeling, covariance structure analysis, structural equation modeling, formative measurement, simulation study

On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies

The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and precision of parameter estimates of a formative SEM specification. Two distinctive scenarios (normal and non-normal data scenarios) are compared with the aid of a Monte Carlo simulation study for various covariance-based structural equation modeling (CBSEM) estimators and various partial least squares path modeling (PLS-PM) weighting schemes. Thus, this research is also one of the first to compare CBSEM and PLS-PM within the same simulation study. We establish that the maximum likelihood (ML) covariance-based discrepancy function provides accurate and robust parameter estimates for the formative SEM model under investigation when the methodological assumptions are met (e.g., adequate sample size, distributional assumptions, etc.). Under these conditions, ML-CBSEM outperforms PLS-PM. We also demonstrate that the accuracy and robustness of CBSEM decreases considerably when methodological requirements are violated, whereas PLS-PM results remain comparatively robust, e.g. irrespective of the data distribution. These findings are important for researchers and practitioners when having to choose between CBSEM and PLS-PM methodologies to estimate formative SEM in their particular research situation.marketing ;

Customer evaluations of after-sales service contact modes: An empirical analysis of national culture�s consequences

customer, service, culture, evaluation

Diagnosing member-customer ostracism in co-operatives and counterpoising its relationship-poisoning effects

Purpose: This paper aims to examine a core member-customer threat in co-operatives (co-ops) by drawing from ostracism research, assessing co-op ostracism’s impact on critical membership and relational exchange outcomes and discussing why relationship marketing research needs to pay more attention to the overlooked role of implicit mistreatment forms in customer harm-doing. Design/methodology/approach: Three studies were conducted. In Study 1, ostracism in co-ops was explored, and a measurement scale for co-op ostracism was developed. In Study 2, the core conceptual model was empirically tested with data from members of three different co-ops. In Study 3, a coping strategy was integrated into an extended model and empirically tested with a new sample of co-op members. Findings: Ostracism is present in co-ops and “poisons” crucial relational (and membership) outcomes, despite the presence of other relationship-building or relationship-destroying accounts. Coupling entitativity with cognitive capital attenuates ostracism’s impact. Research limitations/implications: Inspired by co-ops’ membership model and inherent relational advantage, this research is the first to adopt a co-op member-customer perspective and shed light on an implicit relationship-destroying factor. Practical implications: Co-op decision makers might use the diagnostic tool developed in the paper to detect ostracism and fight it. Moreover, a novel coping strategy for how co-ops (or other firms) might fend off ostracism threats is offered in the article. Originality/value: The present study illuminates a dark side of a relationally profuse customer context, painting a more complete picture of relationship marketing determinants. Little attention has been given to ostracism as a distinct and important social behaviour in marketing research and to co-ops as a research context

In Chains? Automotive Suppliers and Their Product Development Activities

A conceptual framework is developed and tested in which supplier downstream position in the supply chain, supplier innovation strategy and customer development commitment are seen as the antecedents of supplier product development activity. Using partial least squares (PLS), we analyze the results of a survey of 161 Swedish automotive suppliers and test a series of nested models to test our hypotheses. We demonstrate that the position of the supplier in the supply chain and its strategic focus on innovation not only have a direct impact on (actual) supplier product development activity, but that there is also an interaction effect, implying that the effects of strategy are contingent on the supplier???s supply chain position. Additionally, we find that customer development commitment does not have any significant direct effect on supplier product development activities, but that this relation is fully mediated by supplier innovation strategy. The meaning of the findings for developing a more extensive conceptual framework for understanding supplier product development activities, some managerial implications, and future research are discussed