January 1999
·
155 Reads
·
249 Citations
This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.
January 1999
·
155 Reads
·
249 Citations
December 1994
·
23 Reads
·
9 Citations
European Management Journal
This paper investigates the changing business environment of the pharmaceutical industry as a result of regional integration. Peggy Chaudhry, Peter Dacin and J. Paul Peter develop specific research propositions on such issues as regulated prices, Pan-European selling tactics, gray markets, and strategic alliances and test these propositions by means of a content analysis of interviews conducted with pharmaceutical managers. In general, the perceptions of the pharmaceutical managers supported the propositions developed for this exploratory research.
March 1993
·
710 Reads
·
1,268 Citations
Journal of Retailing
SERVQUAL, which involves the calculation of the differences between expectations and perceptions on a number of prespecified criteria, is currently the most popular measure of service quality. However, there are some serious problems in conceptualizing service quality as a difference score; these are reviewed and empirically investigated in this paper. An alternative method for measuring service quality is found to have favorable psychometric properties and to be more efficient than SERVQUAL.
February 1993
·
112 Reads
·
595 Citations
Journal of Consumer Research
This article illustrates the common use of difference scores in consumer research and discusses a number of potential problems with using them. Difference scores often have problems in the areas of reliability, discus validity, spurious correlations, and variance restriction. The article concludes that difference scores should generally not be used in consumer research and offers alternatives that overcome their limitations. Copyright 1993 by the University of Chicago.
January 1989
·
10 Reads
·
16 Citations
February 1986
·
25 Reads
·
190 Citations
Journal of Marketing Research
The purpose of the article is to propose and empirically test a model of the relationships among research design variables and the psychometric criteria of reliability, convergent validity, discriminant validity, and nomological validity, and among the psychometric criteria themselves. A fundamental premise of the article is that these relationships are much more complex than a casual analysis would suggest. More specifically, though all of the research design variables and psychometric criteria are related at a conceptual level, there is no necessary relationship between many of the variables at an empirical level. Meta-analysis techniques are applied to 162 measures found in the marketing literature to examine the relationships among the research design choices of sampling characteristics, measure characteristics, and measure development processes and the various psychometric criteria of measure quality. The proposed model makes predictions for positive, negative, and no effects relationships. All of the hypotheses in the model except one are supported, with systematic variance apparently the common element producing correlations among the various indicants of measure quality. The primary conclusion is that researchers must pay much greater attention to non-empirical evidence when judging construct validity. Three recommendations are offered for measurement research in marketing.
November 1984
·
61 Reads
·
551 Citations
Journal of Marketing Research
This meta-analysis investigates the effects of research design on the reliability of rating scale measures used in marketing research. Three sets of independent variables—sampling characteristics, measure characteristics, and measure development processes—are investigated. The overall results suggest that measure characteristics have a major influence on obtained reliability estimates and that sampling characteristics and measure development processes have little impact. These results support measurement theory. The implications for measure development are discussed.
October 1983
·
142 Reads
·
314 Citations
Journal of Marketing
Science is analyzed as a special case of marketing-the marketing of ideas in the form of substantive and methodological theories. The marketing mix, target markets, and marketing objectives are developed for the scientific arena, and a formal analysis of a relativistic/constructionist view of science is used to support the approach. This view is contrasted with the positivistic/empiricist perspective of science currently dominant in marketing and other social sciences. Recommendations are offered for improved methods of developing knowledge.
September 1983
·
28 Reads
·
168 Citations
Journal of Marketing
Science is analyzed as a special case of marketing—the marketing of ideas in the form of substantive and methodological theories. The marketing mix, target markets, and marketing objectives are developed for the scientific arena, and a formal analysis of a relativistic/constructionist view of science is used to support the approach. This view is contrasted with the positivistic/empiricist perspective of science currently dominant in marketing and other social sciences. Recommendations are offered for improved methods of developing knowledge.
August 1983
·
10 Reads
·
11 Citations
Journal of Marketing Research
... The other criterion for assessing the model is discriminate validity, which indicates the extent to which the measure is unique and not merely a reflection of other variables (Peter & Churchill, 1986). The square root of each construct's AVE is a widely used technique for determining discriminant validity (Anderson & Gerbing, 1988). ...
February 1986
Journal of Marketing Research
... The discussions with the practitioners helped us to establish the content validity of the identified measures. Similar approaches were used in the previous studies focused on developing measurement items (Parasuraman et al., 1985;Peter et al., 1982). The literature search was Table 2 Literature review on performance measures in smart manufacturing systems. ...
February 1982
Journal of Marketing Research
... Path coefficients, standard errors, t-values and p-values for the structural model were presented using a bootstrapping approach with 5,000 replicate samples as suggested by Hair et al. (2019) and Ramayah et al. (2018). Based on Hahn and Ang's (2017) critique that p-values are not a good criterion for testing the significance of hypotheses, several alternative methods were suggested, including the use of replication studies (Sawyer & Peter, 1983;Singh, Ang, & Leong, 2003), effect size estimates, and confidence intervals (Aguinis et al. 2010;Ely, 1999;Hubbard and Meyer, 2013;Lin, Lucas, and Shmueli, 2013). Therefore, several decision rules were used in the study, including the p-value criterion, effect size, and confidence intervals. ...
May 1983
Journal of Marketing Research
... The principal components analysis as recommended by scholars (Pedhazur and Schmelkin, 1991;Churchill and Peter, 1980) for the cleaning of the scales and to testing the dimensionality of the constructs was applied. To measure sampling adequacy and relevant axes, we employed the Kaiser-Meyer-Olkin test, the Bartlett's test of sphericity and Kaiser's eigenvalues (Evrard et al., 1993). ...
November 1980
Journal of Marketing Research
... Another limiting factor may be the validity of the research instrument, as Peter (1981) recommends, the research instrument be compared with other, already validated research instruments that measure the same or completely different constructs. However, in our case, we could not compare the research instrument with other validated instruments because it is difficult to find a validated research instrument due to the selection of tested inquiry skills. ...
May 1981
Journal of Marketing Research
... Subsequently, ignoring such aspects would prevent clients to buy the introduction of subsidiaries [72][73][74][75][76][77][78][79][80]. In a further step, we tried to both identify churners as well as the specific cases where they decided not to buy ( Figure 12) [81][82][83][84][85][86]. The decision was to focus on people who picked up ecological products (PHEV & EV) less than 50% (in 5 cases there were only combustion cars) among all 12 choice situations [87][88][89][90][91][92][93][94][95]. ...
July 1982
Journal of Marketing
... Experience logic decade by moving towards further development of a general theory of value cocreation i.e., consumer experience management (Vargo and Lusch, 2017). Nord and Peter (1980) elaborate how behaviour modification perspective can be used to facilitate the development of a comprehensive set of strategies and tactics which encompass those environmental and situational factors which directly influence customer behaviour. It has been advanced that services are experiential (Wirtz and Bateson, 1999). ...
March 1980
Journal of Marketing
... This image reflects customers' emotions and feelings toward the brand, ultimately leading to satisfaction and the desire to recommend it to others. In addition, the intention to recommend is often considered valuable information that can influence customer decision-making (Peter & Olson, 1983). ...
September 1983
Journal of Marketing
... However, depending on the nature of the phenomenon, researchers may view constructs as representing constructions of the human mind and not real phenomena because words cannot be interpreted without involving human sensations and perceptions (Peter, 1992). Different approaches to viewing constructs refer to the area of research philosophy as a separate subject of discussion: realists think of phenomena in terms of real world entities (Edwards & Bagozzi, 2000); constructionists argue that all phenomena are ultimately perceptions of the human mind, and as such, cannot be real in a pure sense (Peter & Olson, 1989). In both cases, theoretical constructs themselves are not real in the objective sense but instead are "verbal surrogates" (Edwards & Bagozzi, 2000, p. 157) for phenomena of interest regardless of whether the latter are perceived as real or not. ...
January 1989
... software is mainly used in the specific verification. The reliability adopts the standard proposed by Fornell and Larcker [14] , Nunnally [15] , Churchill, and Peter [16] . Cronbach coefficient's reliability in different ranges indicates as below: when it is above 0.6, it means acceptable. ...
November 1984
Journal of Marketing Research