UNIVERSITY OF

ILLINOIS LIBRARY

AT URBANA-CHAMPAIGN

BOOKSTACKS

Digitized by the Internet Archive

in 2011 with funding from

University of Illinois Urbana-Champaign

http://www.archive.org/details/sequentialcyclic142shet

Faculty Working Papers

SEQUENTIAL AND CYCLICAL NATURE OF INFORMATION PROCESSING MODELS IN REPETITIVE CHOICE BEHAVIOR

Jagdish N. Sheth and P. S. Raju

#142

College of Commerce and Business Administration

University of Illinois at Urbana-Champaign

FACULTY WORKING PAPERS College of Commerce and Business Administration University of Illinois at Urbana-Champaign December 31, 1973

SEQUENTIAL AND CYCLICAL NATURE OF INFORMATION PROCESSING MODELS IN REPETITIVE CHOICE BEHAVIOR

Jagdish N. Sheth and P. S. Raju

#142

SEQUENTIAL AND CYCLICAL NATURE OF INFORMATION PROCESSING MODELS IN REPETITIVE CHOICE BEHAVIOR

Jagdish M. Sheth and P. S. Raju University of Illinois

There is considerable controversy in consumer and social psychology about the role of attitudes as causal predictors of choice behavior Cohen, 1964; Bern, 1970; Insko, 1967; Crespi, 1971). The controversy can be classified into three distinct areas of concern. First, are atti- tudes either necessary or even relevant to the understanding of choice behavior processes? This has been the heart of heated disagreement between the behaviorists and the cognitivists in psychology (Hilgard and Bower, 1966; McGuire, 1969). It is even more vividly manifested in the recent interest in behavior modification as a substitute for cognitively based attitude modification in numerous areas of societal problems such as alcoholism, emotional disturbance and drug abuse. In consumer psychology, Bass has recently revived this concern by suggesting that stochastic models of choice behavior may be superior to attitude models of choice behavior because of better and more reliable prediction (Bass, 1973). This is analogous to earlier works of Kuehn, Frank, Massy and their associates (Frank, Kuehn and Massy, 1962; Massy, Montgomery and Morrison, 1970) in which almost a decade of research concentrated on the examination of the usefulness of stochastic models such as Bernoulli, Markov chains and linear learning models of brand choice behavior.

Second, are attitudes the cause and choice behavior the effect or vice versa? This concern about the directionality of attitude-behavior relationship is still very strong in social psychology (Triandis, 1971) almost a decade after Festinger raised it as part of the dissonance theory inferences in the area of cognitive consistency (Festinger, 1969). Fortunately, in consumer psychology, we seem to have a consensus that the attitudes and choice behavior are mutually interdependent over time (Howard and Sheth, 1969) due to the repetitive and dynamic nature of consumer choice behavior. However, the concern is still raised as to whether attitude change precedes behavior change.

Third, what specific model of attitude structure is most useful as a predictor of choice behavior? While there are numerous models of attitudes as contenders (Fishbein, 1967; Rokeach,1970; Rosenberg, 1956; Triandis, 1971; Sheth, 1970, 1973), there is virtually no agreement as to their relevance or appropriateness in specific situations. This is further complicated by the recent interest in forms of attitude struc- tures other than the linear additive models (Einhorn, 1970; Wright, 1972; Calder and Lutz, 1972; Bettman, 1970, 1971).

Our objective in this paper is to present a theoretical framework of attitude behavior relationship which hopefully will provide resolutions for some of the concerns raised above. Based on the dynamics of repetitive choice behavior in consumer psychology, we have developed a sequential typology of different information-processing models which indicates how

different choice situations are based on different models. In addition, the theory brings out in bold relief several other determinants of choice behavior in addition to attitudes.

Description of Four Choice Mechanisms

Attitudes are not the sole determinants of all choice behaviors in consumer psychology. Indeed, there are several systematic and biased choice behaviors manifested by the consumer without a concomitant presence of attitudes. However, we also do not believe that all choice behaviors are determined by factors other than attitudes. We believe that systematic choice behavior in consumer psychology is determined by any one of the following four choice mechanisms. Before we discuss each choice mechanism, several things should be pointed out. First, some choice mechanisms are fully in the control of the consumer while others are controlled by his environment including the marketing activities of companies. Second, at a point in time, a specific choice mechanism dominates the consumer's choice behavior. However, due to individual differences, it is necessary to build a linear additive model of these choice mechanisms as determ- inants of consumers' choice behavior. Third, the four choice mechanisms hypothesized in this paper are sequentially dependent on one another over time. The sequential nature of their relationships over a period of time will be discussed later.

The first mechanism is called Situation Controlled Choice Mechanism wouil. It implies that the consumer makes a biased choice among alter- natives such as products or brands solely due to the motivational impact of the situational stimuli and without any comparisons of the cognitive belief structures of the alternatives. It is, however, possible that the motivational impact of the situational stimuli may also heighten emotive tendencies such as affect, fear, love, anxiety and the like. Finally, the SCCM entails only binary choices such as buy or no buy responses toward a product class or brand.

The SCCM is analogous to the S~R relationships hypothesized and heavily researched in psychology. It is irrelevant to include the learning or the conditioning aspects here. Also, individual differences are presumed but not as widespread as in other choice mechanisms. We can, in genera? , identify four different types of stimuli . These are Personal Stimuli , Social Stimuli, Significative Stimuli and Symbolic Stimuli. The latter three have been identified by Howard and Sheth (1969). Personal Stimuli are stimuli which are internal to the consumer such as hunger, thirst, etc. Social Stimuli are those that emanate from other people, such as friends and relatives of the buyer either through words or action. Significative Stimuli refers to stimuli that emerge from the physical object itself and Symbolic Stimuli refers to stimuli that emanate from symbols of the actual object such as words, writing or pictures.

There are several types of systematic choice behaviors in consumer — v^nlncry which can be explained by the SCCM. These include all the unplanned but biased choices the consumer makes due to time and place stimuli which arouse and heighten either the specific motives or the non specific motivational level. For example, many stimuli can arouse

anxiety or fear in the consumer (Wheatly and Oshikawa, 1970; McGuire, 1963) and also housewives tend to impulsively buy many ready to eat items in the supermarket when they shop during lunch or dinner time. Many studies (Kollat and Willet, 1967; Stern, 1962; West, 1951) point to the importance of impulse buying where a biased brand choice of unplanned products often arises due to the display or communication at the time and place of shopping.

The second mechanism is called Belief -Controlled Choice Mechanism (BCCM) . It implies that the consumer makes a systematic choice among several alternatives after performing a mental utility analysis by cognit- ively structuring his beliefs about their' potential to satisfy a set of needs, wants or desires. It is presumed, that the consumer minimizes the impact of the environmental stimuli except as they become relevant to his choice process.

The BCCM represents the rational decision-making process which consumers manifest in some of their buyer behavior activities and which the society normatively considers as the ideal way for the individual to behave. The cognitive psychologist is the prime believer in this choice mechanism and various models of cognitive consistency are efforts to discover the under- lying processes by which the Belief -Controlled choice mechanism works. This is, therefore, the heart of inforrrat ion-processing modeling effort and we will provide a detailed sequential typology later in the paper.

The BCCM is generally presumed to be the dominant mechanism in those consumer choice situations which are important to him, have higher perceived risk or he is involved. While there is some controversy, most researchers believe that all the initial choice behaviors for major consumption areas are dominated by the BCCM.

The third mechanism is called the Habit-Controlled Choice Mechanism (KCCM) . It implies that the consumer makes a biased choice based on past rewarded experiences, and that the choice is reduced to a binary choice between the habituated alternative and any other alternative. While he may have a belief structure related to the habituated alternative , it is not consciously or actively taken into account in his actual choice. Instead, we presume that he somehow has converted his belief structure into either a strong affective or conative tendency which is the sole criterion he utilizes at the time of choice behavior. It should also be noted that strong affective or conative tendencies may also arise without any belief structure.

The habitual choice behavior in consumer psychology is widespread, especially for frequently purchased products and services. The instru- mental conditioning seems to be the direct basis for habitual choice behavior and, therefore, the role of learning theory is very critical in this choice mechanism (Kuehn, 1962).

The last mechanism is called the Curiosity-Controlled Choice Mechanism (CCCM). It implies that the consumer makes a systematic choice based on a nonspecific motivation and, therefore, the intrinsic utility of the alternatives is irrelevant to his choice behavior. The nonspecific motivation implied as the impelling force in CCCM is what Berlyne (1960, 1963, 196U, 1966) has labelled as novelty, curiosity or exploratory behavior. While we will discuss the nature of CCCM, it is sufficient to

note that the systematic choice behavior determined by the CCCM is more common in consumer behavior than suspected. Furthermore, similar to the SCGuI and the HCCM, the choice is reduced to a binary proposition.

What are the similarities and differences among the four choice mechanisms? First, the Situation-Controlled and the Curiosity-Controlled choice mechanisms are least controlled by the individual. On the other hand, the Belief -Controlled and the Habit ••••Controlled choice mechanisms are most controlled by the individual. Second, only the Belief-Controlled choice mechanism entails systematic analysis and choice from among several alternatives. In the case of all the other three choice mechanisms, the choice is reduced to a binary proposition. Third, attitudes models are relevant only where the Belief -Controlled choice mechanism operates while attitude measurement may correlate in other choice situations determined by the other three choice mechanisms, it is less fruitful as a model for future predictions.

Thus, we propose that neither one of the extreme beliefs (i.e. attitudes are not useful predictors or attitudes are the only predictors of choice behavior) is relevant or correct in consumer psychology. There is enough empirical evidence to believe in the presence of all the four choice mechanisms in consumer behavior. What remains to be done is to identify types of consumer behavior in which each choice mechanism predominates. We, therefore, propose the following model of choice behavior in consumer psychology:

Choice Behavior = B., (SCCM) + B0 CBCCM) + B, (HCCM) + B„ (CCCM) + error

12 3 4

We must first isolate random choice behavior from total choice behavior, which is then determined by any combination of the four choice mechanisms. It should lead to an empirical determination of the following questions: (a) Which choice mechanism is more important in consumer behavior? (b) Is the hypothesized linear additive relationship among the choice mechanisms true in the real world or are there any interactions among the choice mechanisms? (c) If there are interactions, what is the complexity of interaction among the four choice mechanisms? (d) Are there any specific consumer choice situations in which any one choice mechanism pr^ominates?

Dynamics of Choice Mechanisms and The Underlying Information Processing Models

To examine more carefully the interrelationships among the four choice mechanisms we propose a cyclical sequential linkage among the four choice mechanisms. This cyclical sequential linkage is a direct function of the learning entailed in repetitive choice behaviors and it is based on the cycle of psychology of complication and simplification proposed by Howard and Sheth (1969). The full cycle is summarized in Figure 1. The left half of the figure, where the flow is from HCCM to SCCM, represents the psychology of complication and the right half where the flow is from SCCM to HCCM represents the psychology of simplification.

Before we discuss the elements and rationale of the cycle of choice mechanisms there are several points which should be explicitly stated.

Figure 1

Cycj \1 Linkage Among

I

Simple Camper

P -

Curiosity- Controlled Choice Mechanism

Disjunctive

v| Choice "'I Behavior

Disjunctive

Situation-Controlled Choice Mechanism

\.-. ^i ■>

First , it is ve : lit , if n . I how the cycle is activated in consul ue to product differences and consumer

differences. However, sine is an ongoing process, we

presume that fo rts and services, the cycle

is at the Habit-Controlled choice me , In otto is, most consumers

for well-established products and se ts manifest habitual choice behavior1.

Accordingly, we will HCCM even though

this may not be I arting pc I for new products.

Second, whil cedent and sub- sequent psychological satisfaction and Consistency) are sequentially presume that the consumer can and often does, --circuit the Fore, he may skip or bypass the sequential steps in some :>ns. This is especially relevant to the purchase of durable versus non durable goods since the HCCM stage is predominant only in the case of frequent and less important purchases.

Third, we believe that different types of information-processing models underlie each of the four choice mechanisms . Therefore, there is a sequential hierarchy among the different information-processing models. We will limit our analysis in this paper to the following five information- processing models even though we believe there are several other possible models in the consumer choice process: (a) conjunctive model (Coombs, 1964;

Eirihom, 1970) in which that alternative is chosen which meets the minimum levels of utility on a vector of choice criteria; (b) disjunctive model (Coombs, 196U; Einhorn, 1970) in which that alternative is chosen which provides the maximum level of utility on any one element of a vector of choice criteria; (c) lexicographic model (Coombs, 1961*) in which that alternative is chosen which ly provi.de s the maximum level of

utility on a criteria >r satisfying the maximum levels of more salient choice criteria; (d) pensat del in which that alternative

is chosen which has t] til.it- from an optimum linear'

combination of a vectc oice criteria which are weighted by their importances; and (e) si ompens model in which that alternative is chosen which provides the n om an optimum linear

combination of a vec choice criteria .

Finally, the information-processing models vary with respect to two aspects both of which are relevant to the consumer (Wright, 1973). They vary with respect to the effort (search, deliberation and evaluation) required on the part cf the consumer to base his choice behavior upon them. For example, the conjunctive and the lexicographic models are more effortful than the disjunctive or simple compensatory models. Secondly, the models also vary with respect to the unique choice they enable the con- sumer to make based on those choice criteria. Some models provide so much restriction that only a few alternatives can meet their requirements, whereas, other models are less restrictive so that the consumer still has a choice problem among several alternatives all of which meet the model requirements .

We believe that the consumer's need to differentiate among alternatives varies significantly as he passes through the various stages of psychology of simplification and complication. Accordingly, he is likely to choose only those models at , : ific stage of the cycle which are optimal in terms of the effort needed to make the differentiated choice.

We will now describe the cycle o ice mechanisms starting with the Habit-Controlled Choice Mechanism (HCC3 s stated before, the HCCM can exist without any underlying cognitive-, stn i consisting of a vector of choice criteria es if the consumer has short circuited his learning process by bypassing the Belief-Controlled Choice Mechanism (BCCM) stage.

When there : :riyin e HCCM, we believe

that none of the infc dels is useful as a predictor of

choice behavior. At best, some erne icies such as affect, fear, compliance, etc. or some conative tend< ich as prior history of choices, plans and intent kely to be useful predictors of choice behavior, Thus, naive models based on pattern of the past choice behaviors may be sufficient in this situation.

On the other hand, the HCCM may 'be based on some cognitive structure learned in the past. We believe, however, that the dimensionality of the choice criteria is narrowed down to one or at best two criteria. In other words, it is a highly simplified cognitive structure which underlies the HCCM. At the same time, the consumer is not interested in exerting effort in his choice behavior nor is he seeking any high degree of differenti- ability among the alternatives. This may be partly due to the fact that

The learning has vastly increased his ability to discriminate among alternatives even though the simple information-processing model used does not indicate substantial differences among alternatives. In fact, he has reduced his choice process to a binary level of choosing between the habituated response and any alter s response. We, therefore, believe that the most appropriate information-processing model is the simple compensatory model where the choice is on a single dimension.

From the habitual behavior, t) *r passes into the stage of exploratory behavior due to the satiation, boredom or monotony in con- sumption. The consumer is now in search for new criteria and new alternat- ives. The exploratory behavior is therefore strongly controlled by the nonspecific and unrelated motives such as curiosity, novelty and the like. The novelty or curiosity itself may be with respect to any one particular aspect of the product e.g. its packaging, name, display, etc. Further novelty, curiosity, surprisingness , complexity, etc. are the different dimensions of the exploratory behavior and as long as a brand or product is maximum on any one of these dimensions it could be chosen. In this sense a disjunctive model is used and the consumer does not care as much about the utility of the brand or product on the actual choice criteria (which he may or may not know) . We should , therefore , expect considerable choice switching by the consumer despite his prior1 experience.

The choice criteria dominated by CCCM results in greater- sensitization of the environmental stimuli with respect to new alternatives on the part of the consumer. This heightened sensitization to informational stimuli enables the situational variables to dominate the choice behavior. He passes now to the stage of choice behavior where SCCM operates most effectively.

Again, in the SCCM, the consumer may or may not have a set of choice criteria based on the extent of his previous experience. This is more so in the case of a new product or the first purchase of an existing product. Using the Howard and Sheth (1969) terminology the buyer may be in the extensive problem solving stage c limited problem solving stage. In SCCM the purchase behavior is imp: ; ls compared with exploratory behavior in the case of CCCM... The logical information-processing model in this stage would be. the disjunctive model due to the following reasons:

le consumer usually does not spend much time in evaluating alternat- ives in impulse purchase. (2) The lack of a well ordered, set of choice criteria. (3) The strategy with established minimum levels at this point in time would be mere oriented, toward creating a subset of acceptable alternatives rather than determining one best choice.

Accordingly, we hypothesize that the disjunctive model is the most appropriate choice model. However, unlike the CCCM, the disjunctive model is not limited to any predefined choice criterion such as novelty or curiosity but is open to as many choice criteria as the environmental stimuli suggest to the consumer. Thus, any competitive effort by the industry will be effective in precipitating a choice behavior.

The consequences of choice behavior determined by the SCCM are evaluated in terms of consumer satisfaction. The consumer learns more about the alternatives from several trial and error choices. He learns about the choice criteria which are relevant to his needs. He also learns about the

payoffs each alternative provides to him. Also with increased learning the need to gather more information about the alternatives decreases (Swan, 1969). Further, positive reinforcement rather than mere experience seems to be the key factor in the learning (Bennett and Mandell, 1969).

With si xperiences and | lecision evaluations of the choices, the ci less on the situational i and more on

his own cognitive elief system about each alternative

and .he wishes to u behavior. At this stage the

BCCM predominai.

It is in ecome most useful

and relevant in on ivior. This is

also the stage publii ml in the deter-

mination of ration y.

We belie at least three sequential strategies the

consumer fol e he makes his choices based on the BCCM. The first strategy is the use of the conjunctive model in which he specifies the minimum acceptable levels of a vector of choice criteria. He is striving to achieve a very rational decision making process and wishes to maximize his joint utility of a number of benefits in a single choice behavior.

However, the conjunctive model is more effortful even though it might lead to a smaller choice set than other information processing strategies. The logical step is for the consumer to switch to lexico- graphic model in which he orders the choice criteria. Since the lexico- graphic model entails the ordering of choice criteria, the consumer has to compare the alternatives on on3.y one criterion at a time. Also at each step, the number of alternatives to compare will reduce substantially. This results in an enormous simplification of the task which is consistent with the simplification strategy adopted by the consumer. The first step in the ordering of the choice criteria could be the selection of a subset of the choice criteria by giving a 1-0 weight to each criterion (Bettman, 1973). The consumer may then order in a more refined manner, the criteria which are in the subset.

Though the lexicographic model enables the consumer to evaluate alternatives on one criterion at a time- it is still a multidimensional model in the sc hat the consumer has to keep in mind the rating of each alternative on every choice criteria. The ne ical step in the simplification process would then be to create a summary measure for each alternative based on its rating on each criterion and just use this summary measure for evaluation purposes. The comp w on a single dimen-

sion. The summary measure is the weighted line-;:- ;atory model. The weights are the direct result of the conversion c ordinal scale used in the lexicographic model to a higher order (interval or ratio) scale to form the sunmary measure.

The rational behind the use of the weighted linear compensatory model during the BCCM versus the simple linear compensatory model during the HCCM is as follows:

With increased learning the consumer reduces down the choice criteria to just a few, that really make the difference. These few choice criteria

are all likely to be the most important ones for the consumer, and accordingly there is not necessity to weight these criteria.

All throughout itinuously restruc- tures his cognitive consistency theories. We

believe that this the shift

from the conjunct i compensatory

strategies of c; s restructuring

also enables the c >r such that he

is able to reduce ■ aria to a minimum number essential to his n

This simplify rocess enables

the consumer to mc :h the HCCM

dominates his c [repeated again but for a higher level of

: Discussion

The four major 'types of purchase behaviors, namely the Habitual, Exploratory, Impulsive and Belief based behaviors' have often been researched individually in the buyer behavior area. This paper ties in all these four behaviors into the larger framework of the total purchase behavior of the consumer* The paper describes four types of mechanisms, namely the Habit-Controlled Choice Mechanis CM), Curiosity-Controlled Choice Mechanism (CCCM), Situation-Controlled Choice Machanism (SCCM) and the Belief-Controlled i Mechanism (BCCM) which are linked sequentially in the purchase process. At any point in time one of these mechanisms is presumed to be domi lehavior. The total choice

behavior is thus a w of the four mechanisms

with the weights cl icates in which

stage of the ch< ng models that

might be use ;s.

Finally, ng the djnpact

of individual ition of an

individual in tend to s products

there sonv.

I j.viduals particular e.g. Are Lse or by

habit. Perhaps swer these

questions .

1. Jagdish N. Sheth is Pre;. id Research Professor and

P. S. Raju is a doctoral candidate at the University of Illinois.

References

Bass, F. M. The theory of stochastic preference and brand switching,

Working Paper, sst Lafayette: Krannert Graduate School

of Industr: Lstration, Purdue University, 1973. Bern, D. J. Beliefs', attitudes and human affairs, Belmont, California:

Brooks/Cole, 1970. Bennett, R. D. S Mandell, K Prepurchase information seeking behavior

of new car purchasers-The learning hypothesis . Journal of Marketing

Research . , 6_, 430-2 Beriyne, D. E. Conflict, arousal and curiosity. New York: McGraw Hill,

196 Beriyne, D. E. blems raised by exploratory and epistemic

behavior. In ) , Psychology, A Study of Science, 5.

New York: McGraw-Hill, 1963. Beriyne, D. E. Novelty. Mew Society. 1964, 3, 23-24. Beriyne, D. E. Curiosity and exploration. Science , 1966, 153, No. 3731,

25-33. Bettman, J. R. Information processing models of consumer behavior.

Journal of Marketing Research. 1970 (August), 7, 370-76. Bettman, J. R. The structure of consumer choice processes. Journal of

Marketing Research. 1971 (November) , £, 465-71. Bettman, J. R. To add importance or not to add importance: that is the

question. Paper to be presented at the. Fall Conference of the

Association for Consumer' Research, Boston, 1973. Calder, B. J, and Lutz, R. J. An investigation of some alternatives to the

linear attitude model. In M. Venkatesan (ed.). Proceedings of the

Third Annual Conference of the Association For Consumer Research,

1972, 812-15. Cohen, A. R. Attitude Change and Social Influence, New York: Basic Books,

1964 . ' ~ "—"

Coombs, C. H. The Theory of Data. New York: Wiley, 19 Crespi, I. What kinds of attitude measures are predictive of behavior?

Public Opinion Quarter iy, 1971, 35, 327-34." Einhorn, H. J. The use ' of' nonlinear , noncompensatory models in decision

making . Psychological Bulletin 1970, 75 , 221-3 0 . Festinger, L. Behavioral support for opinion change. Public Opinion

% 71, 28, 404-17.

Fishbe ! 'e and the. predi of behavior - M. Fishbein

(ed.), jte 3 in attitude theory and measurem New York:

Wiley j 1967. Frank, R. E., Kuehn, A. A. and Massy, W. F. Qua Techniques in

Marketing Ai Ls: Text and Re. Hdmewood, Illinois: Irwin,"

I962V ■" "" --*-

Hilgard, E. R. and Bower, G. H. .Theories of Learning (3rd edition).

New York: Appleton-Century-Crof ts , 1966. Howard, J. A. and Sheth, J. N. The Theory of Buyer Behavior. New York:

Wiley, 1969. Insko, C. A. Theories of Attitude Change, New York: Appleton-Century- Crof ts, 196T. Kbllat, D. T. and Willett, R. P. Consumer impulse purchasing behavior.

Journal of Marketing Research, 1967 (Feb.), 4, 21-31. Kuehn, A. A. Consumer brand choice as a learning process. Journal of

Advertising Research, 1962 (Dec), 2, 10-17.

Massy, W. F., Montgomery, D. B., and Morrison, D. G., Stochastic Models

of Buyer Behavior. Cambridge, Massachusetts: The MIT Press, 1970. McC W* J. iTr ctiveness of Fear Appeals in Advertising. Advertising

Research Foundation, 1963. McGuire, W. J. The nature of attitudes and attitude change. In G. Lindzey

and E. Aron ids.), The Handbook of Social Psychology. Cambridge,

Massachu .idison-Wesley, i969,™T36~3l4. Rokeach, M. Beliefs , Attitudes and Values. San Francisco: Jossey-Bass,

1970. Rosenberg, M, J, Cot :ture and attitudinal effect. Journal of

Abnormal arid Social Psychology . 1355, S3., 357-72. Sheth, J. N. ArTlnvestlgation of relationships among evaluative beliefs,

affect, behavioral intention ehavior hpublished working paper,

Urbana, Univers Lnois, College of Commerce and Business

Administration 0 . Sheth, J. M. A field study of attitude structure and attitude-behavior

relationship. In J. N. Sheth Ced.)s Models of Buyer Behavior:

Conceptual , Quantitative, Empirical . New Ifork": Harper 8 Row, 1973

(in press). Stern, H. The significance of impulse buying today. <£22££nal of t^<e^n£,

1962 (April), 26, No. 2, 59-62. Swan, J. E. Experimental analysis of predecision information seeking.

Journal feting Research. 1963 (May), 65 192-97. Triandis, H. Attitude and Attitude Change. New York: Wiley, 1971. West, J. C. Results of two years or study into impulse buying. Journal

of Iteketing. 1351 (January), 15, 362-363. Wheatly, J. J. and Qshikawa, S. The relationship between anxiety and

positive and negative advertising appeals . Journal of Marketing

Research. I (February), 7, 85-9. Wright, W. L. Consum idgjnent strategies: beyond the compensatory

assumption. In M. Venkatesan Ced.), Proceedings of The Third Annual

Conference of the Association For Consumer rch, 1972, 316-2~4. Wright, P. L. The iimpTIry: c: perspectives "ori information

processing strategic . ipei presented at the '.can Marketing

Association Doctoral Consortium, East. Lansing, Michigan. University

of Michigan , 1973 (August) .