Terry S. Overton

Bio: Terry S. Overton is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Non-response bias & Demand forecasting. The author has an hindex of 3, co-authored 4 publications receiving 11376 citations. Previous affiliations of Terry S. Overton include Merck & Co..

Estimating Nonresponse Bias in Mail Surveys

Abstract: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations

Estimating Nonresponse Bias in Mail Surveys

Abstract: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies. For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations.

Brief vs. Comprehensive Descriptions in Measuring Intentions to Purchase

Abstract: In forecasting demand for expensive consumer goods, direct questioning of potential consumers about their future purchasing plans has had considerable predictive success [1, 2, 4]. Any attempt to apply such "intention to purchase" methods to forecast demand for proposed products or services must determine some way to convey product information to the potential consumer [3]. Indeed, all the prospective consumer knows about the product or service is what he may infer from the information given to him by the researcher. This paper presents a study of the effect upon intention to purchase of this seemingly crucial element—the extent and type of description of the new service. How extensive must the description of the new service be in order to measure intention to purchase?

Brief Vs. Comprehensive Descriptions in Measuring Intentions to Purchase

Abstract: In forecasting demand for expensive consumer goods, direct questioning of potential consumers about their future purchasing plans has had considerable predictive success [1, 2, 4]. Any attempt to apply such intention to purchase methods to forecast demand for proposed products or services must determine some way to convey product information to the potential consumer [3]. Indeed, all the prospective consumer knows about the product or service is what he may infer from the information given to him by the researcher. This paper presents a study of the effect upon intention to purchase of this seemingly crucial element - the extent and type of description of the new service. How extensive must the description of the new service be in order to measure intention to purchase?

The Chain of Effects from Brand Trust and Brand Affect to Brand Performance: The Role of Brand Loyalty:

Abstract: The authors examine two aspects of brand loyalty, purchase loyalty and attitudinal loyalty, as linking variables in the chain of effects from brand trust and brand affect to brand performance (market share and relative price). The model includes product-level, category-related controls (hedonic value and utilitarian value) and brand-level controls (brand differentiation and share of voice). The authors compile an aggregate data set for 107 brands from three separate surveys of consumers and brand managers. The results indicate that when the product- and brand-level variables are controlled for, brand trust and brand affect combine to determine purchase loyalty and attitudinal loyalty. Purchase loyalty, in turn, leads to greater market share, and attitudinal loyalty leads to a higher relative price for the brand. The authors discuss the managerial implications of these results.

Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model

Abstract: This paper aims to predict consumer acceptance of e-commerce by proposing a set of key drivers for engaging consumers in on-line transactions. The primary constructs for capturing consumer acceptance of e-commerce are intention to transact and on-line transaction behavior. Following the theory of reasoned action (TRA) as applied to a technology-driven environment, technology acceptance model (TAM) variables (perceived usefulness and ease of use) are posited as key drivers of e-commerce acceptance. The practical utility of TAM stems from the fact that e-commerce is technology-driven. The proposed model integrates trust and perceived risk, which are incorporated given the implicit uncertainty of the e-commerce environment. The proposed integration of the hypothesized independent variables is justified by placing all the variables under the nomological TRA structure and proposing their interrelationships. The resulting research model is tested using data from two empirical studies. The first, exploratory study comprises three experiential scenarios with 103 students. The second, confirmatory study uses a sample of 155 on-line consumers. Both studies strongly support the e-commerce acceptance model by validating the proposed hypotheses. The paper discusses the implications for e-commerce theory, research, and practice, and makes several suggestions for future research.

Index Construction with Formative Indicators: An Alternative to Scale Development

Abstract: Although the methodological literature is replete with advice regarding the development and validation of multi-item scales based on reflective measures, the issue of index construction using formative measures has received little attention. The authors seek to address this gap by (1) examining the nature of formative indicators, (2) discussing ways in which the quality of formative measures can be assessed, and (3) illustrating the proposed procedures with empirical data. The aim is to enhance researchers’ understanding of formative measures and assist them in their index construction efforts.

Consumer Trust, Value, and Loyalty in Relational Exchanges:

Abstract: The authors develop a framework for understanding the behaviors and practices of service providers that build or deplete consumer trust and the mechanisms that convert consumer trust into value and loyalty in relational exchanges. The proposed framework (1) uses a multidimensional conceptualization for the trustworthiness construct; (2) incorporates two distinct facets of consumer trust, namely, frontline employees and management policies and practices; and (3) specifies value as a key mediator of the trust–loyalty relationship. The authors test the proposed model using data from two service contexts—retail clothing (N = 264) and nonbusiness airline travel (N = 113). The results support a tripartite view of trustworthiness evaluations along operational competence, operational benevolence, and problem-solving orientation dimensions. Moreover, the authors find evidence of contingent asymmetric relationships between trustworthiness dimensions and consumer trust. For frontline employees, benevolent b...

Do formal contracts and relational governance function as substitutes or complements

Abstract: Relational exchange arrangements supported by trust are commonly viewed as substitutes for complex contracts in interorganizational exchanges. Many argue that formal contracts actually undermine trust and thereby encourage the opportunistic behavior they are designed to discourage. In this paper, we develop and test an alternative perspective: that formal contracts and relational governance function as complements. Using data from a sample of information service exchanges, we find empirical support for this proposition of complementarity. Managers appear to couple their increasingly customized contracts with high levels of relational governance (and vice versa). Moreover, this interdependence underlies their ability to generate improvements in exchange performance. Our results concerning the determinants of these governance choices show their distinct origins, which further augments their complementarity in practice. Copyright © 2002 John Wiley & Sons, Ltd.