Current Problems in Consumer Behavior Research - American [PDF]

IMPROVING CONSUMER BEHAVIOR. RESEARCH. How can a genuine research tradition in consumer behavior emerge? This is an extr

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DAVID T. KOLLAT, JAMES F. ENGEL, and ROGER D. BLACKWELL*

This article supplements other critical evaluations of consumer research by discussing several issues and problems that impede the development of a consumer behavior research tradition.

Current Problems in Consumer Behavior Research

Compared to the history of most disciplines, the study of consumer behavior is in its infancy, dating back less than 50 years. Moreover, a significant percentage of this research has occurred during the last decade. It seems likely that the next decade will witness an even greater acceleration of research on consumer behavior, making it one of the areas of marketing receiving the greatest empirical emphasis. Relative to many other areas of inquiry, there have been few attempts to evaluate consumer research critically. Past efforts have concentrated primarly on summarizing and synthesizing findings into proposition inventories [42, 55, 84]. With notable exceptions [84], these critical evaluations have been confined to particular aspects of consumer behavior such as cognitive dissonance [20], brand loyalty [18, 27], and the diffusion of innovations [47, 48]. These summaries and evaluations have been useful, but many important issues have not been explored. This article is intended to supplement other critical evaluations, not attempting to compare and synthesize findings or develop propositional inventories, but to deal with complementary and equally important issues involved in a research tradition or strategy of inquiry. Discussion and resolution of these problems could contribute greatly to the development of a growing body of knowledge.

Greater Utilization of Consumer Behavior Models Several aspects of the "model problem" have been discussed elsewhere [67, 84]. The issue is raised here because some of its dimensions have not been explored and because it generates other problems discussed below. The majority of consumer research has used hypothetical constructs and what Nicosia has called "reducedform" models [67]. Examples include motivation [14], perception [37, 71], learning [52, 53], personality [5, 25], attitudes and attitude change [2, 49], social class [54, 62], reference groups [35], cognitive dissonance [19], and risk taking [3, 13]. These constructs have been used to explain and/or predict aspects of consumer behavior. These constructs are of significance although each plays a limited role because consumer behavior is infiuenced by a variety of factors interacting in complex ways. Yet few comprehensive models specifying construct interrelationships [22, 43, 67] have been designed. A comprehensive literature review [22] reveals that a very small percentage of consumer research has used a comprehensive, integrative model. While this is understandable, given the recency of model development, it poses certain problems. How many findings of past research are artifacts of conceptualizations used? If research had been based on comprehensive models rather than relatively insular constructs, how many of the significant and nonsignificant findings would change because of variables not included or controlled? This problem will continue to plague future consumer research efforts, because without integrative models, how does the researcher know what variables should be included and controlled? The severity of what might be called the conceptualization artifact problem suggests the need for more development, testing, and revision of comprehensive models. Are those already developed [22, 43, 67] adequate.

IMPROVING CONSUMER BEHAVIOR RESEARCH How can a genuine research tradition in consumer behavior emerge? This is an extraordinarily complex question, and there are a number of subissues which must be resolved before progress can be made. * David T. Kollat and Roger D. Blackwell are Associate Professors of Marketing and James F. Engel is Professor of Marketing. All are at The Ohio State University. 327

Journal of Marketing Research, Vol. VII (August 1970), 327-32

JOURNAL OF MARKETING RESEARCH, AUGUST 1970

328

or are they too simplistic? Is it possible to have a model of consumer behavior, or are several necessary? If several are required, what are the relevant assumptions and conditions under which each is appropriate? While these issues may probably never be resolved completely, progress toward solution would unquestionably increase the overall efficiency and relevance of consumer research. Establishing Research Priorities The consumer research literature shows that a substantial percentage of research was the result of the availability of data, the convenience of research and mathematical techniques, and/or the appeal of certain behavioral constructs. In other words, most research has been data-technique-construct motivated and oriented [16, 19, 21, 31, 38] and has typically been conducted independently with Uttle apparent coordination. The infancy and complexity of consumer research make this orientation understandable in the short run. But is it the best long-run strategy? Is it time for some changes? The fundamental issue here is whether it is desirable to establish general research priorities. Some may feel that it is not, and some plausible reasons can be cited for support. For example, some feel that each researcher should pursue his own research interests in an unstructured approach which will produce the best longrun results. On the other hand, without guideline priorities, it is difficult to decide what to do and in what order. Without priorities, progress is likely to be substantially slower and to require a greater investment of resources—time, money, and people. Moreover, as those who use this approach in corporate research and development would contend, general goals and priorities do not eliminate the individuality and freedom of the researcher, they merely give it better focus and direction. It is not the authors' intention to.advocate any point of view, but to encourage dialogue on the need to formulate general research priorities. If priorities are desirable, it is necessary to design a conceptual approach to define them. One approach would be to become more problem-oriented. This approach to establishing priorities could consider, for example: 1. Those behavorial constructs and relationships that, if understood, would permit the understanding of the greatest number of other constructs and relationships; and/or 2. Those that, if understood, would make the greatest contribution to business firms' rate of return on investment and appropriate measures of performance and efficiency for other organizations. These illustrate some of the most difficult problems in attempting to specify research priorities. First, why should they be key" problem areas? What about other types of problems? What are the criteria used in establishing priorities? Second, even if the above priorities

were acceptable it is clear that they are not operationally defined. What specific constructs and relationships satisfy these two requirements? For example, if the second approach is followed, should research efforts focus on those problems with the greatest immediate payout or on problems with fewer immediate applications but potentially greater numbers of longer-range uses? To sum up: (1) Is it desirable to attempt to establish priorities? (2) What areas of consumer behavior are of the greatest importance? and (3) What phenomena need to be investigated, in what order, so that these key areas can be understood? Such research priority issues have never been publicly raised or resolved. Discussion, debate, and resolution of these issues should accelerate progress. Greater Use of Longitudinal and Experimental Designs Consumer behavior researchers typically use crosssectional surveys, longitudinal, and experimental or quasi-experimental research designs. Cross-sectional surveys are the most common because the effects of several types of variables can be efficiently measured [34]. In recent years, compelling reasons for studying consumer behavior as a dynamic ongoing process occurring over time [22, 67j""have been recognized. Simultaneously there has been increased interest in isolating cause and effect relationships. Cross-sectional surveys are useful for many types of inquiries but are the least appropriate method of studying newer views of consumer behavior because of serious biases from inaccurate memory, interaction, and response style [34]. Moreover, cross-sectional designs cannot rigorously isolate cause and effect relationships. A clear delineation of the effects of a variable can be achieved only through true or quasi-experimental designs [69]. In the last several years more use has been made of designs that minimize these biases: longitudinal studies [46, 73, 77, 79] and experimental designs [38, 58, 74]. Accelerated use of these designs should increase the quality of future consumer research [69].

OVERCOMING VARIABLE AND CONSTRUCT PROBLEMS Future progress in consumer behavior research will depend on overcoming several pi'oblems with commonly used variables and constructs, including the need for standardized definitions and categories and richer dependent variables. Standardized

Definitions

The literature is replete with examples of widely varying definitions of what arc presumably the same variables and constructs. Brand loyalty, for example, has been defined in terms of brand choice sequences [6], proportion of purchases [12], repeat purchase probabilities [30, 53], and brand preference over time [36].

CURRENT PROBLEMS IN CONSUMER BEHAVIOR RESEARCH

Definitions of impulse purchasing [10, 50] and opinion leaders [68] vary from study to study. The importance of information sources is sometimes defined in terms of exposure, other times in terms of effectiveness [29]. There are at least 45 definitions of innovation and over 164 definitions of culture [22, p. 627]. Motive, a concept often borrowed from social psychology, is one of the most ambiguous. Motive may include needs, drives, and directive tendencies [51, 83], or, more precisely, a disposition to strive toward a generic class of goal [66, 83]. This latter definition provides a basis for establishing measuring instruments, a real advantage in predicting or explaining aspects of human behavior [57]. Definitions, of course, are only means, rather than ends. Even so, it is difficult to see why there are so many different purposes. So many definitions make it difficult and hazardous to compare, synthesize, and accumulate findings. Definition and classification of terms and variables are essential in the scientific method [57]. It may not be possible to develop a single definition of each construct and variable in all situations, but, at the very least, it would be useful to agree on points of departure. Standardized Variable Categories There is also considerable heterogeneity in categories used to measure many variables and constructs. For example, a thorough review of the family life cycle literature by Wells and Gubar showed wide variation in life cycle category definitions in published research [85]. There are also variations in the categories measuring infiuence of family members in purchasing decisions [1, 86], and nearly every social class researcher uses a different typology [8, 9]. Similarly, a plethora of variable categories is used to measure learning [22, pp. 116-7]. Because of lack of standardized variable categories, the researcher faces a dilemma in comparing and integrating research findings and in project design. Standard or recommended categories would contribute to progress in and usefulness of future empirical efforts. Ridker Dependent

Variables

In recent years multivariate techniques have been used more by consumer researchers. These studies have often demonstrated that single independent variables are not statistically related to the dependent variable investigated. On the other hand, combinations of independent variables often prove to be statistically significant and/or much more strongly related to the dependent variable [26, 78]. However, no matter how complex a dependent variable is, researchers typically measure it unidimensionally, even though in many cases, from a conceptual and empirical point of view, it is clearly multidimensional in nature. Brand loyalty studies, for example, often indicate that consumers purchase and are loyal to several brands in a product category [6, 12]; however, this construct is usually measured as the proportion of purchases or the repeat purchase probability for a single brand. Simi-

329

larly, although there is evidence that information seeking is a cumulative process involving several sources [45], most attempts to determine characteristics of information-seeking consumers and the determinants of search utilize unidimensional scales [7, 44]. In attitude studies, also, more social psychologists note three basic related dimensions of an attitude: (1) cognitive information and beliefs about the object or phenomenon in question; (2) affective feelings of likedislike, etc.; and (3) behavioral tendencies to act in a certain way [51, 60]. Most studies, however, measure only the valence of certain affective dimensions selected by the researcher [2]. Attitudes are frequently poor predictors of behavior [28], perhaps because measuring instruments used typically isolate only one dimension. In most consumer research studies, if the relationship between dependent and independent variables is not statistically significant, it is concluded that the independent variables are not important in understanding the dependent variable. In some instances the dimensionality artifact may provide an alternative explanation, for if dependent variables were measured multidimensionally, significant and nonsignificant independent variables might change. Extensions and modifications of the multidirriensional techniques suggested by Frank and Green [32] should be useful in this effort.

DEVELOPING A REPLICATION

TRADITION

In many disciplines replication is rigorously practiced. In the physical and behavioral sciences, findings must be replicated a number of times. The literature of psychology has many examples of replication, where a problem is intensively studied to be sure that methodological artifacts did not dictate findings. For example, later studies generated by the 1948 discovery that highvalued stimuli are more quickly perceived than lowvalued ones revealed artifacts in that the low-valued words were more infrequently used and thus unfamiliar .[75]. After replication, substantial evidence indicates that perceptual defense can be demonstrated when proper experimental controls are used [70]. Replication is rarely practiced in consumer research. Most findings and propositions are based upon single studies by a single researcher, which unfortunately invites invalid conclusions due to unusual sample characteristics, distortion in experimental control, and other methodological artifacts. All too frequently, findings are used uncritically in the marketing literature, especially general textbooks, and the dangers of misleading conclusions increase as the body of consumer behavior findings grows. A replication tradition would allow researchers to determine the conditions under which an effect may exist, establish hierarchies of effects, and test validity of previously reported findings. The Research Environment

and Design

To what extent are consumer behavior findings artifacts of the research design, subjects used, and variables

330

controlled? The question has long been of concern to researchers. The study of attitude change provides an example. Attitude change has been extensively analyzed in laboratories and field experiments. In a typical laboratory study, it is not difficult to generate attitude change in response to persuasion, yet such a result is less frequently demonstrated in field studies, partly because of the artificiality of the laboratory experiment which seldom provides the opportunity for selective exposure [41]. Also, most studies of consumer decision making find variation among consumers in decision behavior, probably because of complex interactions of many independent variables. One researcher has concluded that the validity of studies in which variables are not controlled is subject to question [33]. What is the optimum research environment that achieves the control advantages of laboratory experiments without generating artificial biases? This difficult question deserves serious attention. Generalizing Across Types of Decisions To what extent are findings derived from analysis of a specific type of consumer decision applicable to other types of decisions? There is considerable evidence that many consumer behavior findings are apphcable only to the type of decision or choice being studied, and this creates another dilemma. For example, many studies reveal that family members' roles in purchase decisions vary widely across products [1, 86]. Other studies indicate that attitude change depends in part on the centrality and other conditions of attitude strength [23, 41]. The extent of information seeking and the importance of information sources vary from one type of decision to another [7, 29, 45]. Unplanned purchasing [10] and the effectiveness of point-of-purchase displays [15, 17], end-aisle displays [56, 61], number of shelf facings [11, 39], and shelf height [81, 82] vary widely across products. Analysis of various studies of the diffusion of innovations suggests that the amount of decision making involved, the sources of information used, and other important dimensions often vary from one type of innovation to another [22, p. 546]. Certainly in many cases it is not proper to generalize findings across products or decision situations. On the other hand, generalizing as far as possible avoids researching consumer behavior in unnecessarily minute detail. There is a growing need for classification systems for types of decisions and choices which, if properly designed, would permit a legitimate degree of generalization. Research to date suggests that the traditional convenience, specialty, and shopping goods typology [40] has too wide intercategory variation in behavior. Future efforts using alternative conceptual schemes [4] or empirically derived classifications [63] should increase the progress of consumer research.

JOURNAL OF MARKETING RESEARCH, AUGUST 1970

Broadening the Horizons and Uses of Consumer Research With relatively few, but notable exceptions, most consumer research has been oriented toward business interests. Relatively little research has been concerned with consumer exploitation or protection, behavioral problems of the disadvantaged, or behavioral contributions to legislation and decisions of regulatory agencies. Few consumer researchers appear as expert witnesses in judicial proceedings. Is there a social and professional responsibihty to broaden the horizons and uses of consumer research into these other areas? There are, of course, several problems in trying to represent both business and consumer interests, but there are also many risks in avoiding consumer interest issues. Perhaps the most severe is to allow less qualified individuals to raise these issues or formulate consumer legislation [64]. Developing Information Summary and Retrieval Systems The amount of consumer research is increasing exponentially and today's research studies will represent only a fraction of the literature of 1980. It will become increasingly difficult for both researchers and practitioners to have an awareness and working knowledge of published research relevant to their problems. Two steps can be taken to accommodate the research explosion. First there should be literature reviews to evaluate and summarize evidence published or available during the year. This technique is widely used in other areas including, for example. The Annual Review of Psychology. A complementary approach would be to establish a consumer behavior research retrieval system. Although this type of system presents numerous complex problems, other disciplines such as law, medicine, and chemistry have used it. An example is the American Chemical Society, which through its subsidiary. Chemical Abstracts, operates a service which makes possible computer search across the full range of the world's current chemical literature. Machine-searchable tapes contain the title, authors' names, complete bibliographic citation, and key descriptive indexing terms for each journal article and patent abstracted in current issues of Chemical Abstracts. Furthermore, within consumer research itself, the Diffusion Documents Center at Michigan State University has devised procedures for cataloging and summarizing over 1,000 different studies [80]. Although serious problems must be solved before such a system could be made operational, it is important to begin work immediately rather than waiting until the research explosion has become even more formidable. CONCLUSIONS Most of the problems discussed are attributable to the complexity and infancy of consumer research and

331

CURRENT PROBLEMS IN CONSUMER BEHAVIOR RESEARCH

the fact that research to date has been conducted relatively independently by researchers in various universities, businesses, and governmental agencies. The issues raised here and others that have undoubtedly been overlooked are of sufficient importance to deserve further discussion and debate. If they are resolved, or even if some significant progress toward their resolution is made, a significant stride will be taken toward the development of a consumer behavior research tradition.

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