Examining product managers’ job satisfaction and performance using selected organizational behavior variables

The product management form of organization has been around for quite a while; yet little empirical research has been done on product managers. This article reports a study of product managers and some organizational behavior factors which contribute to their job satisfaction and job performance. These factors include centralization of decision making, job structure, job scope, role ambiguity, and role conflict. Finally, several suggestions are made for creating an environment more conductive to having product managers who are satisfied with their jobs.     

A path analytic model of store loyalty involving self-concept,store image,geographic loyalty,and socioeconomic status

A model is introduced which posits that store loyalty is primarily determined by store-image evaluation and shopping-complex loyalty. Store image-evaluation, in turn, is hypothesized to be determined, to a major extent, by self-image/store-image congruity, and shopping-complex loyalty by area loyalty and socioeconomic status. The model was tested using a path analytic procedure and the results were consistent with the model. A replication study was attempted and the results reinforced the validity of the proposed model.     

Question order effects in taste testing of beverages

The effect of order position has been demonstrated in marketing research, sometimes compromising survey results. This paper studies the influence of order position in product taste trials of carbonated beverages using a sequential monadic design. The authors measure attitude ratings across product trials rather than across products to examine the effect of order position on preference ratings.     

Strategy in research design and hypothesis testing

The efficiency of a research design may be measured in terms of the degree to which knowledge is enhanced within given resource constraints. Thus, two different types of research design, even though they contain the same number of expected observations, may differ considerably in the amount of information provided. An example is the number N of 32 observations obtained with an analysis of variance witheither 2 factors, 2 levels per factor and a replication of 8or 4 factors, 4 levels per factor and a replication of 2. We analyze and compare the relative efficiencies of regression and variance analysis models and their implications to research strategy development. Three major considerations are evaluated: (1) short versus long time horizon (interval until effects of a decision are realized), (2) small versus large cost of erroneous rejection of the Null Hypothesis and (3) gross versus refined stage of development of the research study. A set of general guidelines towards improved designs is developed.