Tilburg University
Product Trials
de Groot, I.M.
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de Groot, I. M. (2003). Product Trials: The Effects of Direct Experience on Product Evaluation. Optima Grafische Communicatie.
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.--olo i
UNIVERSITEIT *12!f * VAN TILBURG |n 'L O
i--RIBLIOTHEEK
L____!-ILBURG
Product Trials:
Groot, I.M. de
ProductTrials:TheEffectsofDirect Experience on ProductEvaluation
Cover Design: A.J. Tas
Printedby:Optima GrafischeCommunicatie, Rotterdam
Product Trials:
The Effects of
Direct Experience on
Product
Evaluation
PROEFSCHRIFT
ter verkrijging van degraad van doctor aan de Universiteit van Tilburg, op gezag van de rector magnificus, prof.dr. F.A. van der Duyn Schouten,
in het openbaar te verdedigen ten overstaan van een door
het college voor promoties aangewezen commissie in de aula van de Universiteit
op maandag 2 juni 2003 om 14.15 uur
door
InekeManon de Groot
Promotores:
Prof.dr. W.F.vanRaaij
Acknowledgments V
Acknowledgments
Tijdenshetafronden vaneen proefschrift overproduct trials begin je je afte vragen
of
hetwerken aaneenproefschrift eigenlijk niet 66ngrote ontdekking is van wat een onderzoeker te wachten staat: het lezen van literatuur,bedenken van experimenten,verzorgen van materiaal, vinden van proefpersonen en
uiteindelijk
het rapporteren vandebevindingen. Promoveren is in duseigenlijk66nlangetrial.
Zonderproefpersonen hadden alle experimenten nietuitgevoerd kunnen worden en daarom wil
ik
iedereenbedanken dieheeft meegedaan aan 66nofmeerdere van deexperimenten die ikdeafgelopenjarenheb uitgevoerd: de(destijds) HAVO en VWO
scholieren van de Vlaardingse Openbare Scholengemeenschap (te Vlaardingen) en
het Libanon Lyceum (te Rotterdam). De studenten van verschillende universiteiten
dieallenbereidwareneenverscheidenheidaangoederen uit te proberen.Verder ben
ik
dank verschuldigd aan bedrijven die gratis producten verschaft hebben die gebruikt werden inhet onderzoek: BMGHilversum voordemuziek cd's enProcter &Gamble voordePringles.
Verder wil ik mijn
begeleiders bedanken die mij gedurende de afgelopenjaren
hebben geholpen: Daniel Read, Fred van Raaij en Gerrit Antonides. Ook ben ik JackKnetschdankbaar voordediscussies die wetussentijdshadden.
De enorme steun vanvriendenheeftenorm geholpen in alle fasen vanDeTrial. Ik wil danookRapail Akamavibedanken voor de tijd die we op
de'AiO
zolder'in
Leedsdoorbrachten en hij voor support zorgde. Ook wil
ik
Young-A Son en Maggie Kaska bedanken. Dankzij hun gezelligheid in huis werden de avonden langer en de dagenkorter. Natuurlijk mag ikdevolgendevrienden nietvergeten. Metzijn drieSnhebben
we inhetzelfde schuitje gezeten: Marina "Flambina" Pool die bijhet woord'grasveld'
.,
altijd wist hoe laat het was. Met Stdphanie "Pinga" van den Berg enAnnelise "Lies Notenboomwaren er
altijd
wel redenen te bedenken om portte drinken waarbij delangetreinreizen om dit doel tebereiken nietgeschuwd werden. Verder wil
ik
Joost Loef bedanken voor zijn tips omtrent achtergrondmuziek. Bij het schrijven van dit proefschrift heb ikdaar zekergebruikvan gemaakt.Tenslotte wil ik
mijn
familie bedanken: Bram, WilenZahuradeGroot.ZijhebbenVI Contents
Contents
1. Introduction 11
Introduction 12
AdvantagesandDisadvantages of DistantSelling 12
Definition of Risk 13
Taxonomy ofLosses 14
Benefits of SalesStrategies 15
ResearchonSalesStrategies 16
Objective of theThesis 17
Managerial Relevance 17
ScientificRelevance 18
Overview of theThesis 18
2.
Product
Trials and
Product
Evaluation 21
Introduction 22
Waysto ReducePerceived Risk 22
Rationalefor Studying ProductTrials 23
Direct and Indirect ProductExperience 23
Imperfect InformationinConsumer Judgment 25
A Three-StageModelofTrial Behaviour 27
AttitudeandAttitude Formation 29
The Elaboration Likelihood ModelofPersuasion 31
Implications oftheEndowmentEffectfor ProductTrials 33
Attribute Information Typesand Related ConsumptionBehaviour 34
Attitude Formationin Product Trials 34
Factors inthe TrialStage 36
Cognition andAffect 36
ExpectationsandDisconfirmation 39
Overcoming PoorPerformance 40
FomardandBackward Effects of ExpectationsonSatisfaction 41
Personal Involvementand InformationAcceptance 43
Involvement 43
Factors inthe Post-TrialStage 45
SatisfactionandDissatisfaction 45
Contents VII
Summary 47
3. Perspectives
on
Object Valuation and the Endowment
Effect 49
Introduction 50
Expected Utility Theory asaNormative Theory of Choice Behaviour 50
FromExpectedUtility Theory to Prospect Theory 52
The Implications of Prospect Theory fortheTheory of Choice Behaviour 55
ReferencePoints 55
Reference Pointsand Framing Effects 55
Labelling Changes from the ReferencePoint 58
Value
Function 60
DecisionWeights 61
TheAsymmetrical Treatment ofGains andLosses in aRiskless Context 62
The EndowmentEffect 62
Causes oftheEndowmentEffect 65
Cognitive Explanations of the EndowmentEffect 66
Cognitive DissonanceandConsolidation Processes 66
Affective Explanations of the EndowmentEffect 67
Loss Aversion 67
Mere Exposure 69
Mere Possession 69
Mere Ownership 70
Attachment 70
Conditions Affecting the Strength of the EndowmentEffect 70
Transaction Demand 70
Time 71
Product Related
Factors 71
The Transaction between MoneyandGoods:QuadrantsandMeasures 73
Implications of the EndowmentEffect 75
Summary 77
4 The Role of the Endowment Effect
in
Sales Strategies 79
TheoryandHypothesis 80
Overview of theExperiments 82
Experiment 1 83
Introduction 83
VIll Contents
ResultsandDiscussion 85
Experiment 2 86
Introduction 86
Method 86
Resultsand Discussion 88
Experiment 3 90
Introduction 90
Method 90
Resultsand Discussion 91
Experiment 4 95
Introduction 95
Method 95
ResultsandDiscussion 97
Experiment5 100
Introduction 100
Method 100
Resultsand Discussion 101
Limitations 110
Generaldiscussion 111
Implications 113
5 Measuring the
Value
of Product
Trial
115Introduction 116
Experiment6 117
Method 117
Resultsand Discussion 117
Experiment7 119
Method 119
ResultsandDiscussion 119
General Discussion 120
6 Expectation
and
Disconfirmation Effects for Trial Products
121Introduction 122
TheoryandHypothesis 122
When Expectations Dominate Disconfirmation 123
Contents IX
Which is More LikelytoDominatein Product Trials: Expectations or 126
Disconfirmation?
Experiment8 128
Introduction 128
Method 128
ResultsandDiscussion 130
GeneralDiscussion 137
7
General
Conclusions
and Final Remarks
141General Conclusions 142
The Relationship Between Product Trials and the Endowment Effect 142
Explaining Product Devaluation after Product Trial 143
The Role of Expectations 145
FinalRemarks 145
Limitations 147
Implications for the Marketplace 147
Future Research Suggestions 148
References
Chapter 1
12 Chapter 1
Introduction
On 15 March
1962, President JF Kennedydeclared to the
US Congress thatconsumers havefourbasicrights.Theseinclude:'
The right
tosafety. To
be protected against products, production methods and serviceswhicharehazardoustohealth or life;The right to
beinformed. To
begiven the facts needed to make informedchoice,to be protected against dishonestor misleading advertisingandlabelling;
The right
to choose. To be able to select from a rangeof
products and services, offered atcompetitive prices withanassuranceof
satisfactoryquality;The right to
beheard. To
haveconsumerinterests represented in themaking andexecution
of
government policy, and inthedevelopmentof
products andservices.Of these
four
basic rights, the focus here will be on consumers'right
to information.Namely, despitethis right,the
introduction of
new selling methodsbrings along thatconsumers have
little
information available. For example, mail order companiesstarted to offer an easy shopping method: choose what you want from a catalogue,
sendyour order by direct mail or over the phone, anddelivery
will
follow some days later. Likewise, with the introduction (and the
popularity) of
the Internet as a new medium, buyingproductsbecameeasier. Withasingle click on thePCconsumers can nowadays buy all sortsof
productsonline. Most popularcategories tobuyonline from arebooks, computerhardware/software, and music/video(Rasch& Lintner, 2001).Thus, increasingly, retailers do not
only
offer their goods in-store. Additionally, they have extended their services by sellingtheir
goods via methods that require alessdirect relationshipbetweenretailer and consumer. Werefertothesemethods as
distant
selling methods.2Advantages and Disadvantages of Distant Selling
Distant selling methods are becoming more popular among consumers. Online
selling,
for
example, offers many advantages. In Europe, the top five reasons for buying onlinecited by consumersare(Rasch& Lintner,2001):• The abilityto browse and purchaseonline;
• The ability to save time;
• The ease of theonlinepurchase process;
'
TheInternationalOrganisationofConsumerUnionshas added thefollowing four rights: the rightto satisfactionofbasic needs,therighttoredress,therightto education, and theright to
ahealthy environment. 2
Introduction 13
• The access to products not availableoffline;
• The ease
of
comparingprices and features.There are also disadvantages of Internet (or catalogue) purchases. For example, people havebeenfoundtodislike (Smith &Swinyard, 2001):
• Theadditionalcosts(shippingchargesandhandling);
• The difficulty of judging the quality of products as physical inspection is highly restricted;
• Thetransactioncostsof returningunwanted items.
Fromaretailer's point of view, the advantageof distant selling is that it cuts down
thetotalcosts.Salespersons arenotneeded and high rent rates (asinshoppingmalls)
are avoided. Instead, goods are storedin large warehouses rather than in expensive displays.3 On the other hand, distant selling couldbe disadvantageous
for
retailers, because interaction between a salesperson andcustomer does not
take place.Interaction effects, such as persuasion of consumers (Cialdini, 200la, 2O01b), or impulsebuying(e.g., Dittmar, Beattie, &Friese, 1996),which usually work
in
favourof
theretailer,areabsent.Thus, although the development of new selling methods is
attractive for both
consumers and retailers, there are also disadvantages such as lack
of
interactioneffects (retailers), and lack
of
important information (consumers).In
general, if the consumer has no product information and, consequently, is unable tojudge the
product, he or she
will
perceive the purchaseasriskier.The conceptof
consumer riskis discussed next. Definition of Risk
Risk and attempts to reduceits impactispervasiveinsociety. Forexample, youmight
not want to risk arriving late at work, so you go bycar.Alternatively, an investor on
the stock market may
intentionally take the risk
of losing money when he buys particularstocks. Nowadays, cigarette packageswarn (potential) smokers of the badconsequences of smoking withtextsloganslike: "Smokingenhances the riskof heart
andvascular diseases".
A
music chain inThe Netherlands advertises with a 'no-risk disk': when thepurchased CD is unsatisfactory, consumers mayclaim the purchase price back. Theseexamples show the use of the word risk
in different contexts(varying from financial risktohealth risk). Whattheseexamples have in common is that they all involve a negative feature ofa decision, orthe chance of some loss (of
3 This is how Dell Computers explains whytheir pricesarelowerthan those ofcompetitors:
14 Chapter 1
money, health) (Yates & Stone, 1992). Despite many
definitions of
risk, Yates and Stone (1992) propose that theriskconstruct always contains: (1) potentiallosses, (2) the significanceofthose losses, and (3)the uncertaintyof
thoselosses.The important distinction between riskand uncertainty is that the
probability of
occurrenceis unknownfor uncertainty,
but
known for risk(seeAntonides, 1996). In addition to this statisticaldifference, Slovic, Fischhoff, andLichtenstein(1984)foundthat the statistical difference between risk and uncertainty is reflected
in
people's perceptionof
events.They found that the risk construct consists of twodimensions:the 'dread risk' factor
(first
dimension), and the'unknown risk'
factor (seconddimension). Especially the second dimension distinguishes
between risk and
uncertainty. The endpoints of this dimension are defined by, among others, 'not
observable'vs.'observable'. Associated
with
theseendpoints areothercharacteristics such as 'unknown to those exposed' (vs. 'known to those exposed'), 'effect delayed' (vs.'effectimmediate'), 'new risk' (vs. 'old risk'), etc.Clearly, theendpointsrepresent the difference betweenevents with
an uncertain probability of occurrence(uncertainty), and events with a known probability
of
occurrence (risk). Thus, uncertainty and risk are two endpoints ofacontinuum,and peopleassociatedifferentcharacteristics ofasituation with uncertainty and risk.
Relating this definition of risk (vs. uncertainty) to the application of sales
strategies, we may see that
most techniques areaimed to
move consumersperception ofapurchasesituation from uncertainty to risk, or even from uncertainty to certainty. This research focuses on the
application of one of
such techniques designedtoestablish this,the producttrial.
Taxonomy of Losses
Assaidabove,riskinvolves some kind of loss. Whenwethink of a lossweoften
think
of something we used to have but do not
have anymore. In other words, whenexperiencing a loss we may feel deprived of something we had in the past. Another
loss experience may occur when we end up with an outcome that is perceived as worse than before, e.g., the amount of free time we experience when we work (vs. when we do not). In order toassesswhethersomething is perceived as a loss we need
areferencepoint.Thenotion ofareferencepoint willbediscussedinChapter 3. Losses may occur in different domains. Jacoby and Kaplan (1972) constructed a
taxonomy
of
losses. Their classification mainly applies to consumer behaviour andcontains financial losses, performance loss, physical loss, psychological loss, social loss, and time loss. The taxonomymainlyapplies to consumer behaviour. We speak
offinancial
losseswhen consumerslosemoneybecausetheproduct does not work atall, because it costs a lot to maintain the product, or when an equal or better
Introduction 15
Notethat performancelosses andfinanciallosses go hand in hand. For example, we may spend additional money to replace or fix a deficit product. An example of a financial loss
without
a performance loss is the purchase of a non-winninglottery
ticket. Physical losses are losses resulting from unsafe products (chemical or
toxic
liquids), orproducts that threaten our health (e.g., cigarettes). Psychological losses
follow from
a discrepancy between aproduct and
a consumer's self-image. For example, someone who aspires to be a vegetarian, but buys fast-food hamburgerstwice a week
will
experience a psychological loss whenconfronted with his food
intake. Social lossesare losses resulting froma negative way of howpeople
think of
you.Thisnegativeperception mayfollowwhen people associate you withaparticular
(purchase of)aproduct.For example,buying marihuanamay negativelyinfluence the way people
think
about you. Last,there is time (and e#ort) loss. It is the loss of timewhen consumers need to return, replace, or repair, etc., products. The focus in this
research is on avoiding the financial loss,i.e., offeringsalespromotions toconsumers as a waytoreduce
their
perceived risk ofapurchase.Benefits ofSalesStrategies
Sales promotions, such as price discounts, help both consumers and retailers. Irrespective ofthe appliedpromotion technique theygive consumers the
opportunity
to learnabout a product. As with many otherfactors, uncertaintyabouta product's
possible benefits in the future may strongly
inhibit
consumers' willingness to buy.Together with otherfactors (e.g.,budgetrestrictions) this uncertainty contributes to the perceived risk ofaparticularpurchase. In thedomainofconsumerbehaviour the perceived risk ofa purchase often involveslosingmoney, orafinancialloss(Yates & Stone, 1992).By making use ofsales strategies consumerscan reduce the risk of the negativefinancialconsequences
of their
purchase decisions(Roselius, 1971).Given the rapid development of new products, extended products, or improved
products, consumers mayhavegreat
difficulty
indeciding what to buy.Asmentioned earlier,retailersareobliged toprovideproduct information in order forconsumers to makebetter decisions. Theapplicationof
salesstrategies, especiallythose techniqueswhich provide product information before the purchase decision, is a good way for retailers to provide enough product information. Especially when the promotion techniqueisperceived as a'lowrisk'strategy, consumers may become more
willing to
try (e.g., product sampling, producttrials) or to buy
(e.g., in-store coupons,money-back guarantee). Thus, fromaconsumer's
point of
view, salesstrategiesmayprovideproduct information while froma retailer's point of view,
it
provides consumers'legalright
toinformation. Table 1.1. summarises common sales strategies as well astheir
objectives
(trial and/or
repeatpurchase)ofthese techniques. Generally,trial
isaimed16 Chapter 1
Table 1.1. Examples
of
salesstrategies and objectives(adapted from: Williams, 1996).
Salespromotion Trial Repeat purchase technique
Price
discount 4
Couponing 4 4
Freeproduct packs; 9/ 14 Bonus packs In-store 4 demonstrations Sampling 4
Cash refunds 4
Buy backs Mail-in premiums 4 4Research on SalesStrategies
Despite the existence and application of manysales strategies (for a more complete overview see Williams, 1996) these techniques have rarely been studied
in
terms ofhow they affect product choice or product evaluation. Searching the
literature it
appears that promotion
techniques are not the
main focus of many researchers. When studies report on retailing techniques they mainly focus on modelling thetechnique and hardly on possible effects of the techniques on actual consumer behaviour.
The most researched techniques found are product trials (Dubas, Dubas, &
Atwong, 1999; McGuiness, Gendall, & Mathew, 1992; Goering, 1985; Dickinson &
Wilby, 1997; Scott & Yalch, 1980; Simonson, Carmon, & O'Curry, 1994) and to a
lesser extent money-back guarantees (Heiman, MeWilliams, & Zilberman, 2001; Mann & Wissking, 1988; Moorty & Srinivasan, 1995; Davis, Gerstner, & Hagerty, 1995)· Closely related to product-trial research is research on direct vs. indirect productexperience(e.g., Fazio& Zanna, 1978,1981).
Most studies on salesstrategieshave focusedon building models to describe how
the techniques will work, or have focused on consumers' covert behaviour, such as attitudes and beliefs. When the
effects of,
for example, producttrials were
Introduction 17
Actual buyingdecisionshaverarelybeenstudied.
Thus, the gap in theliterature is the lack ofexperimental research inthedomain of how sales strategies, such as product trials and money-back guarantees,
will
affect consumers' actual purchase decisions. Although money-back guarantees areconsidered in the
first
twoexperiments ofthe thesis, themainfocusshiftstoproduct trialsandtheir
effectsonconsumers'productevaluationin
Experiments 3-7.Objective of
the
Thesis
The sales strategies presented here were introduced as ways (for consumers) to reduce theperceived risk in buying decisions. Claims in the psychological literature
(PloUS, 1993) as well as in the management literature (Smith &Nagle, 1995) bring
forth another perspective: not only are these techniques useful ways to reduce perceived risk
for
consumers, they are alsosubject to psychological effects, which arethought to be advantageous
for
retailers. Namely, it is expected that product trialswill
give consumers the sensation of ownership, thereby shiftingtheir
referencepoint. This shift
in
referencepoint will
then cause an endowment effect and,consequently,
result in
an increasedliking for
thetrial
goods.Without
going into detail right now, the endowment effect is the observation that people value goods, oncein
possession, more highly than goods not in possession (Thaler, 1980).Additionally, given the lack
of
experimental studies on the effectivenessof
product trials (orsalesstrategiesin
general), the aim of thisthesis is tostudy experimentallythe effectiveness
of
producttrials and, to
a lesser extent, money-back guarantees. This thesis reports aseriesof
experiments to testthe effects of temporalendowmentin
the producttrial
technique. In areal-purchase context, the effectof product trialsis studied.
Managerial Relevance
The applicationof risk-reducingtechniques canbeadvantageous forbothconsumers and retailers. Consumers may reduce the perceived risk and retailers can make
products more
familiar
toconsumers. Giventhe applicationof
producttrials it
isstill
not known to what extent product trials are successful techniques. For example, areproduct trials by definition successful, or is a successful application dependent on otherfactors?What determinesthe successfulapplication
of
product trials? How do product trialsaffect consumers'productevaluation(attitudes,monetaryevaluation).This researchhasseveral managerialimplications. A
first
implication follows from our study onthe effectsof
product trialsonattitudes and economicvaluation. These I are two different aspectsof
product evaluation: attitudes are more indicative of an18 Chapter 1
behaviour(e.g.,purchaselikelihood). Asecondimplication follows from ourstudy on
conditions under which product
trials may be more (or
less) successful. First, wefocus on the type
of
trial
product. Knowledge about what typeof product will be moresuitable to use as a
trial
product may help retailers to decide on whetherto offer a producttrial or
not. Second, westudy the roleofexpectations. Expectationsareoften created by television commercials orprinted ads, and
may influence people's attitudes. For example, a TV commercial for shampoo showing happy women withshiny hair
may create high expectations (and a favourableattitude) of the
effectiveness of the shampoo. Consumers may then use aproducttrial to find out if,
and to what extent, their attitudes are justified. Thus, knowledge about the role ofexpectations in product trials givesretailers insight into whetherexpectations affect
productevaluation,whetherdirect experience affectsproduct evaluation, or that both contribute to productevaluation.
ScientificRelevance
The effectiveness
of
producttrials is alessstudied (ifnotunstudied at all) topic in themarketing andthe psychological literature. In the marketing, orconsumerbehaviour
literature we
find hypotheses of how producttrials may work (e.g., Hoch &
Loewenstein, 1991). However, thesehypotheses have not yet
been testedexperimentally.
This research helps to complete the literatureon product trials. First,
it
providesexperimental evidence of the working
of
product trials. Second,it
contributes to abetter understanding of the role
of
endowment in promotion techniques. It makes use ofan important phenomenon inthedecision-making literature, the endowmenteffect, to test theeffectivenessof product trials.
Until now it
has oftenbeen thought that product trials benefit from the endowment effect (Plous, 1992; Smith & Nagle, 1995) andthisseriesofexperiments teststhis assumption. To conclude,thisresearchhas implications for
the marketing literature (adding experimental research to hypothetical research), and the social and economic psychological literature (testing an application of theendowment effect ondirect productexperience).Overview of
the
Thesis
Thisdissertationconsists ofsevenchapters. Chapter2 gives atheoretical description of product trials as one ofseveral retailing techniques. It starts with a comparison
between different retailing techniques and gives a rationale for a study on product trials. The concept of attitude is introduced and product trials are discussed in
relation to
a theory of attitude formation, the elaboration likelihoodmodel of
Introduction 19
for
product trials this chapter continues with a discussionof
different aspects of attitude formationin
(different stages of) a producttrial
andtheir role
in product trials.Chapter3 gives possible explanations for the endowment effect, which serves as
the basis for the assumed effectiveness of product trials. It discusses terms such as prospect theory, value function, loss aversion, reference point, framing effects, and explains how prospect theory may affect product evaluation. The term endowment effectisintroduced andanoverviewofexperiments on the endowment effect, as well as implications oftheendowment effect
for
differentdomainsisgiven.Chapter 4 reports five experiments designed to test the idea that theendowment
effect would make the evaluation
of trial
products more favourable.4Experiments 1-3measure consumer willingness to pay (WTP)
for
different consumergoods (CDs in Experiment i and2;variety ofgoodsin
Experiment 3) as afunctionofsalesstrategy(product
trial,
money-back guarantee, normal sale). Product trials performed notbetterthan money-back guarantees; theyeven performed worse than whennosales promotion techniquewasoffered. Experiment4tests the role ofactual ownership in
trial-based product evaluation. To complete our research design in line with a more
valid test for
the endowment effect, Experiment 5 wasconducted to test the
relationship between product
trial
and endowment, and how this affects economicproductevaluation. Evidence that the endowment effect had occurredduring product
trial,
therebyincreasing the value of the good, wasnot found.Giventheresults of the analyses, additional structural equation modelling (SEM) analyses were performedwhere people'sattitudeswere assigned the roleof mediatorvariable.
A
two-foldeffectof
producttrial
oneconomicproduct valuationwasfound.In Chapter 5 two experiments are reported that seek explanations for the poor
performanceof product trials. In Experiment 6 itwas argued that the status ofatrial
good ('second-hand' after
trial)
could explain this finding. Indeed, when subjectswere asked
for
their WTP for
a brand newradio and a
testradio, WTP was
significantly lower for thetest radio.Thiseffect
of trial on
WTPimplies thatthetrial
itself canbe represented bysomepositivevalue. Experiment7testedthe value of thetrial
itself, and showed thattrial
can indeed be represented by a positive economicvaluation.
In Chapter 6 the role
of
expectations (Oliver, 1980) prior toaproducttrial
istaken into account. Two alternative hypotheses are tested: the perceived performance hypothesis and thedisconfirmation ofexpectations hypothesis. Theformerstates that consumersassigngreaterweight tothedisconfirmation of expectations in satisfaction judgments thanto actual performance,while the latterassumes the opposite: actual performance receives greater weight in satisfactionjudgment than disconfirmation. Neither hypothesis was confirmed. Both expectations and disconfirmation were20 Chapter 1
found to contribute to attitude
formation, with
a two-fold effectof
expectations onattitude formation.
To conclude the thesis, Chapter7gives general conclusions andadiscussion of all
Chapter 2
22 Chapter 2
Introduction
Consumers want to spendtheir money in the best possibleway, given
their
budgetconstraint. Many purchasesareroutine, and apart fromthefirstpurchase, consumers
buy them without thinking much. Routine purchases are common low-priced,
frequently purchased products, or
fast-moving
consumer goods (e.g., toothpaste,washing-up liquid).5 When these types
of products do not
meet expectations thefinancial consequencesare minimal.However,whenproducts areunknown or more expensive, consumers become more reluctant to buy, or they want more product informationbefore they make a decision. Lack
of
product information, especially forexpensive goods, generates perceived risk on the consumer's side, and the retailer's task is to reduce this perceived risk by providing
information, or
by reducing the potential financial loss. There are different retailing tactics, each of which reduces perceived risk in its own way. Although the strategies are closely related, there are someessentialdifferences that willbediscussed inthischapter. Further, thischapterwill
alsojustify
astudyonproducttrials as well asthefactors in two ofthetrial
stagesofconsideration. Finally, this chapter ends withadiscussion concerningwhy product
trials might beaneffectivetactic fromadecision-makingperspective.
Waysto ReducePerceived Risk
Several strategies may be employed to reduce risk, including rebates, product
samples, product trials, and money-back guarantees. When offered a rebate,
consumers arepromised to receive (part of) the purchase price backafter purchase. Theonly requirement is to send in acoupon that goes withtheproduct.The product
mustbeboughtbeforethe coupon can be sent in,solimited product information may
be available at themoment
of
purchase.In product
sampling,oftenapplied with food or drinks, consumers receive a trial-sizeportion of
a product. The aimof
product sampling is togenerate product trial sothat
consumerswouldbecomefamiliar with
and, finally, committed tothe
trial
product (MeGuiness, Gendall, & Mathew, 1992).Information
about a product is not available at the moment ofsampling (assumingthe sampling of unknownproducts). Examples
of
productsampling are the provision offreeCD-ROMswith computermagazines, andprovidingsnacks inashopping mall.After product sampling the actual
product
trial
takes place and consumers caninteract with the product (trying out the software, or tasting the snack). The trial
provides information about, and direct experience with the product and consumers are informed about its properties. Sampling and
trial
are closely related. Samplinginvolves only the distribution
of
products among consumers, and thetrial
allows consumers to assess a product's properties. Thus, samplingprecedes trial. The lastProduct Trialsand ProductEvaluation 23
strategy is the money-back guarantee. Consumers areofferedthe guarantee that the
full
retailprice will
berefunded if
the product is not satisfactory. Like free trials,consumers whoareofferedamoney-back guarantee are abletolearn abouta product (information acquisition), but unlikefreetrialsthe money is paid upfront. The main
difference between free trials and money-back guarantees is thus the
moment of
paymentrelative tothe moment
of
information acquisition. It is only withfreetrials
that the moment of payment takes place
after
information acquisition. Thus, consumers will formtheir
attitudestowardaproductbeforepurchase witha product trial, andafter purchase with a money-back guarantee. Finally, there is the
no-tactics-at-all wayofsellingproducts. Itisreferred to asanormal
sale. Consumers areneither promised a
trial,
guarantee, or refund. They buy aproduct. Of all tactics
discussed here, the risk of a bad purchase is highest with a normal sale. Table 2.1 summarises the different retail tactics and how different
factors play a role in the
purchaseprocess.
Rationale for Studying Product Trials
A product
trial
gives the consumer the opportunity to learn about, or receiveinformation about a product before the actual purchase. Product trials are often
offered
in-store, as well as at
home.Apart from
the transactioncosts for the
consumer, namely, the consumers must repackagetheproductand returnit, product
trialsarehighlyadvantageous
for
consumersbecauseit
givesthem plenty of time andopportunity to
interact with
the product before deciding on a purchase. This opportunity reduces, among others, the risk ofa financialloss:
In addition, product trialsprovide reliable anddirect information totheconsumer about theproduct.From a retailer's
point of
view product trials could serve as a signal to the consumer that theproduct is of
a certain level of quality (aretailer will
only offerproduct
trials for
good products). This should create confidence at the consumer's side. The down side ofthis tactic is that theretailer runs the riskof
ending up with a pile ofused, unsoldproduct that did not meet expectations. Reviewingthe research onproducttrialsthere are two reasonsthatsupport the choice fora study onproduct trials.Thefirst isthe differences between directandindirectexperience on consumerjudgments. The second is the typeofjudgment that is used inproduct trials.
Direct and Indirect Product Experience
Information is better accepted when it is obtained by first-hand experience (direct experience) than when it is obtained by other sources (indirect experience). Also, direct experience is considered more reliable than indirect experience. Hence, it is 6
Othertypesoflossesare discussed in Chapter 1 (cf., Yates, 1992; Roselius, 1971; Jacoby &
24 Chapter 2
Table2.1. Retail tactics used to reduce perceived risk and the role
of
differentfactorsinthe purchaseprocess
Coupon/ Money-back
Factor Rebate Product
trial
guarantee Normal saleDirect
After
purchase BeforeAfter
purchase Afterpurchaseproduct purchase through through
experience decision interaction interaction through
trial
Accessto
After
purchase BeforeAfter
purchaseAfter
purchasedirect purchase
product decision
experience
Way of risk Throughprice Through Purchase can be No
reduction reduction disclosureof undone
product information
Potentialrisk Coupon isnot Norisk Money isnot Product does
for
consumer sentin
because claimedback not satisfy, i.e.,of
transaction becauseofhigh
financial loss.Costs. transaction
Costs
Commitment Yes No No Yes
to purchase
expected that product trials are perceived as more reliable sources of information
than othersources (e.g.,printed ads).Indeed,information isbetteracceptedthrough
trial
than through indirectsources(Smith & Swinyard, 1982,Wright &Lynch, 1995). Moreover, there is evidence that direct experience yields different results thanadvertising. Attitudes toward a food snack were more extreme (e.g., theextremity of
affect) after
trial of
the snack than afterexposure to an ad of it.
In addition,confidence with one's own attitude was also higher after
trial
than afterexposure toads (Smith &Swinyard, 1982,1983; Marks & Kamins, 1988).7Moststudies ondirect
vs. indirect experience have focused on the contribution
of
cognitions and affect(Fazio & Zanna, 1978, 1981;
Millar
& Millar 1996) in consumerjudgments. ResultsProduct Trialsand ProductEvaluation 25
fromtheseexperiments showed, among others, that the role
of
cognitions and affectdepends onwhether direct or indirectjudgments were made. Also,directandindirect experience predicteddifferent types ofconsumerbehaviour
(Millar
&Millar, 1996). What these studies have not investigated is whether and how the type of product experience affects subsequent purchase behaviour (e.g., WTP). Should retailers provide freeproduct trials at all?Imperfect Information in Consumer Judgment
By studying product trials we might gain
insight into
how missing informationinfluences consumers' evaluation of an item when it is the only option (non-comparative
judgment) compared to when it is one of
several in a set of goods(comparativejudgment)(Kivetz &Simonson, 2000; Moon &Tikoo, 1997).
Hsee (1996)differentiates betweenjudgments following from
joint
evaluation andjudgment following separate evaluation. In
joint
evaluation (JE) there are several options available and onecan compare (attributes of) oneoption with (attributes of) another option. In separate evaluation (SE) there is only one option available andjudgment is made
without
any other available alternatives to compare with. Theevaluation mode has an effect on object evaluation. For example, Hsee (1998) asked subjects
in
different conditionstoindicate how much theywerewilling to pay for icecream. In the JE condition subjects werepresented
with
drawings of two servings of ice cream: 8 oz. oficecream in a 10 oz. cup(underfilled), and 7 oz. oficecream in a 5oz. cup(overfilled). In each of the SEconditionssubjects werepresented with one of
the two servings and asked how much they were
willing to pay for the
ice cream. It was found that in JE people werewilling to pay more for the 8 oz. ice crearn/10 oz.cup, while inSEpeople werewilling to pay more for the 5 oz./7 oz. cup. Obviously, in
JE people had focused more on the amount of ice cream,
while in
SE people hadfocused more on the
amount of
ice cream relative to the size of the cup. In otherwords, whenmakingSEpeople alsofocus onirrelevant attributes (such as the size of the ice cup),while in JEpeople arelesslikely topayattentiontoirrelevant attributes.
In addition
to above example, the following example alsoillustrates the two
judgments types. When deciding on the purchase of a cell phone we
might find
ourselves contemplating one particular mobile phone (A). Suppose we know its
stand-bytime,storagecapacity
for
phonenumbers, but not itsreceptionquality. Our evaluation of A depends on the weight assigned to the separate attributes, and the decision is made onthebasis of comparison oftheattribute values ofone single cell phone (separate evaluation). In another situationwe mightthink of
the purchase ofoneofthree cell phones (includingA). Again, there are thethree attributes stand-by
time, storage capacity, and reception quality. Assume that
for
neither ofthe phoneswe haveinformation of all three attributes. Forphone A, we knowthe stand-by time
26 Chapter 2
Table 2.2 Example of choices
with
missing information (Kivetz & Simonson, 2000)PortablePC PortablePC Portable PC
A B C
Speed (Information 166
MHz
100 MHz(range: 85 -200 unavailable)
MHz)
Memory 12 MBRAM
(Information 24 MB RAM
(range: 4 - 32 MB unavailable)
Ram)
Battery life 8hours 3 hours
(Information
(range: 1 - 11hours) unavailable)
and
for
phone C the reception quality and storage capacity isknown. Now our
evaluation ofthe attributes
of
phoneAinvolvesa comparison between theattributesof
three phones(joint
evaluation),rather than
a trade-off between the attributevalues
of
phone A only.In general, the evaluation of attribute performance ofoneoption (and hence the overall evaluation of that option) depends on whether the evaluation is made in isolation, or simultaneously. When making separate evaluations, people focus more
on attributes for which it is easyto determine independently how gooda particular
value is (easy-to-evaluate
attribute).
When makingjoint
evaluations, they focus more onattributesfor
which it is hardto determineindependently how goodavalue is(hard-to-evaluateattribute) (e.g., Hsee, 1996; Hsee &LeClerc, 1998). Examples ofeasy-to-evaluateattributes are formand weight.Qualitative properties, like reception quality, ornumber
of
entries ina dictionaryarehard-to-evaluate attributes.Theshift in the relative impact of the two typeof
attributes in judgment is referred to as theevaluability hypothesis (Hsee, 1996).
The type
of
judgmentbeing made not onlyaffects theevaluation ofan option, it also affectstheweightassignedtodifferenttypesof
attributes. Kivetz and Simonson(2000) studied
the effects of missing information on consumer choice. Theypresenteddifferentgroups
of
subjectswith
differentpairsof
options andthe subjects'task was tomake binarychoices.An example ofastimulus (portable PC)isshown in
Table 2.2. For example, one group chose between PC A and B, a second group between B and C, anda
third
group between PC A and C. Using a variety of stimulithey found
that common attributes (valuesavailable for
alloptions) were 2
significantly more often used than unique attributes (values not available for all
Product Trialsand ProductEvaluation 27
attribute of
an option on product judgment was dependent on whether that option was superioror inferior onthe common attribute. When an option was superior on thecommon attribute (e.g., Aissuperior to B on thecommon attribute 'battery life'),missing
information on
the unique attribute (Speed) was not a significant reasonagainstthat option. But whenanoptionwas inferior on thecommonattribute (e.g., A is inferior to C onthecommon attribute 'memory')missinginformation (Speed) was
found a significantreason against that option. Thus, theattractiveness ofan option
may change when anoptionbecomes
inferior
(or superior) onthe commonattribute.Also, missing information was found to result in intransitive preferences. For
example, 62%preferred A to B, 64%preferred B to C, but79%preferred C to A in the PC example.
In another study on missinginformation and product valuation, MoonandTikoo
(1997) found that
when subjects perceived attributes as correlated (a camera'sdurability and
lens sharpness), they used a correlatedattribute from the same
product (e.g., lens sharpness) to infer thevalue of
a missingattribute (e.g.,
durability). Information from other products' attributes (e.g.,lens sharpness of other
cameras) was only used when the variance of that attribute was lowacross products (i.e., low inter-brand variance). In the camera example, people only used other
cameras' lens sharpness valuesto inferthe
durability of
a camera when thevalues oflens sharpness didnot differ too much.
In sum, despite the large amount
of
research on the effects of directand indirectproduct experience on consumer choice, research that relates the role of direct and
indirect experienceto actual purchasebehaviouris
still
lacking. Last, much researchhas investigated the impact of missing information on product evaluation when multiple options were available. Using only one option, a study on product
trials
wouldgive
insight into
how missing informationwithin
a single option may affectsconsumers'judgmentsand purchase decisions.
AThree-Stage Modelof Trial Behaviour
In this section we
will
describe a model oftrial
behaviour. We conceptualise it as a three-stage model as shown in Figure 2.1. In each stage factorsrelated to both
cognitionandemotions arepresent. First, consumers must havea minimum level of
interest in
a productbefore they will try it. One way
to inducetrial
is throughsampling. Presumably the morecostly it istoundertake the trial, themoreinterest is
required. However, the prior interest does not have to be very high to get people to try something new. For instance, product samplinghasproven to beaneffective way to persuade peopleinto
trial
(McGuiness et al., 1992). The focus is therefore not on how people canbeinduced to try, but on theprocesses oncethetrial
hascommenced.A product
trial
provides newinformation and theconsumer's task is to process the28 Chapter 2
(IPre-#iallitage l Tdallstage l cpost-Irialstage
No or indirect product Direct product experience Evaluation of direct product
experience experience
Cognitions Cognitions Cognitions
• Perception of a • Processingincoming • Finalobject evaluation need information • Purchasedecision
• Initialopinion • Integrating new information • Updating initial
opinion • Disconfirmation
judgment
Emotions Emotions Emotions
• Curiosity • Attachment • Satisfaction/ dissatisfaction
Effects resulting in Effects resulting inparticular particular emotions emotions
• Mere-exposureeffect • Endowment effect • Mere-possession
effect
Figure 2.1.Athree-stage model
of trial
behaviourflow of informationrequiresthatconsumers update
their
attitudes ineach stages i.e.,each time a newpiece
of
information is encountered. Like purchase behaviour,trial
behaviour canbecategorisedintothreestages: apre-trialstage,theactual
trial
stage and apost-trial stage: Inthepre-trial
stagethe consumermightconsider whether he or she is interested enough in an object to engage in a producttrial. It is
the stage where interest, need, orcuriosity for
a product is induced through advertising,product sampling, etc. Sufficiently interested consumers move to the
trial
stage where they actively interact with the object in the store or at home. The consumer processes incominginformation that will
be integratedinto existingknowledge. Theintegration of the new information is cognitive
in
nature and is a cyclical, step-wiseprocess: new
information-integration-attitude
updating-newinformation, etc.
Emotions in thisstage arethoseproducedby, among others, mere-exposure (Zajonc,
1968), mere-possession (e.g., Sen & Johnson, 1997) andproduct attachment(Schultz Kleine,
Kleine III,
&Allen, 1995). After thetrial
stagethe consumermoves into thepost-trial stage in which the cognitive
factors represent objectvaluation and the
purchase decision. Emotions are satisfaction/dissatisfaction (Oliver, 1980) and, as proposed here, the endowment effect (Thaler, 1980) is assumed aconsequence of the
8 At a higherlevel thesetrial stages are part ofthe pre-purchasestage, becausetheyprecede
Product Trialsand ProductEvaluation 29
emotions and effects in the
trial
stage.The research reported here focuses on the second
(trial)
andthird
stage (posttrial).
The reason for not including thefirst
stage is that it is relatively easy to getpeople to try
a product, and this stage has previously received ample research. Rather,thefocus is on how the newproduct information affects attitudes, howtheseattitudes yield some final product evaluation and how this final judgment affects
buying behaviour (willingness to pay). To summarise, the
focus is on how the
disclosure of missing information, through
trial,
affects subsequent product evaluation and purchase decisions. The next sectionwill
describe to process ofevaluation, especially howattitudescontribute to productevaluation.
Attitude
and
Attitude Formation
When evaluating objects (ideas, issues, events) people makejudgments about them.
The objects being evaluated are
attitude
objects and the evaluationsofthose objects areattitudes.There are manydefinitions of attitudes, butmost refer to anattitude assome evaluative judgment or feeling toward an object. For example, Petty and Cacioppo (1986) define attitudes as"(...) general evaluations people hold
in
regard tothemselves, otherpeople, objects, and issues" (p. 129). FazioandZanna (1981)define
an attitude as "(...) the evaluative feeling that is evoked by a given object" (p. 162).
Thus, an attitude is an evaluativejudgmentabout an object and canbe expressed in threedifferentways: cognitive, affective, andbehavioural (foran overview see Eagly
& Chaiken,1,993).Cognitiveresponses arerepresentedby thoughtspeople haveabout
an attitude object ("Dancing is a nice way to spend my free time"). The affective category consists offeelings oremotionstowardtheattitudeobject ("Dancingmakes me feelhappy"). Thebehavioural response contains the overt actions with respect to the attitude objects ("I often go to discotheques to dance"). Figure 2.2 depicts the
three classes
of
evaluative responsesof
attitudes. This model is called thethree-component modelof attitude.
In line with the idea
that attitudes can be categorised into different classes ofresponses, is the assumption that attitudes have different antecedents as shown in
Figure 2.3. These antecedents are cognitive, affective, and behavioural in nature.
Note that from
this perspective, attitudes are considered as a productof
cognitive,affective, and behavioural components (see Eagly & Chaiken, 1993). The cognitive
component
of
attitudesrefers tocognitive learningprocessesthatoccur when peopleform
their
attitudes. These processes occur when people gain information about an object to form beliefs. The information can be obtained by direct experience (e.g.,30 Chapter 2
Cognitive Processes
AttitudeObjects Attitude Affective
Processes
Behavioural Processes
Observable Inferred Observable
Figure2.2.Three-component modelof attitude(Eagly & Chaiken).
Cognitive
ProcessesAffective
Attitude
ProcessesBehavioural
ProcessesFigure2.3·Attitudesasconsequences
of
responses (Eagly&Chaiken, 1993).they learn from it) to form their beliefs and attitudes. Second,
the affective antecedent refers to the pairing ofan attitude object (conditionedstimulus) with a
stimulus that elicitsa particularresponse (unconditioned stimulus). For example, an
advertisement for
softdrink
(unconditioned stimulus) mayrepeatedly be
accompaniedwithfeelings
of
freshness, energy, (conditioned stimulus) etc., such thatfeelings
of
freshness become associated with the drink. Thus, affective antecedentsProduct Trialsand ProductEvaluation 31
emotions.9 Last, behavioural components of attitudes are included in theories of cognitive dissonance (Festinger, 1957) and self-perception theory (Bem, 1972). For example, Bem's (1972) self-perception theory poses that people's attitudes are inferred from
their
ownbehaviour ("I
often visitdiscotheques, so I must like
dancing"). Likewise, cognitive dissonance poses that people's need
for
dissonancereduction results
in
attitudes that display the least discrepancy betweentheir
cognitions andtheir
overtbehaviour. For example, peoplewhosmokelight
cigaretteswill reduce dissonanceby claiming that thelight cigarettesbeing advertised are less
harmfulto
their
health than regularcigarettes.Anotherfamous model inthedomain of attitudes willbediscussed next.TheElaboration Likelihood Modelof Persuasion
According to elaboration likelihood model
of
persuasion (ELM) (Petty& Cacioppo, 1986b) attitudes areformed by
the elaboration on the information (arguments) relevant to the objectbeingevaluated (issue-relevantthinking). In the ELMthere aretwo variables that determine whether people engage
in
issue-relevantthinking
(elaboration): motivation and
ability
(Petty & Cacioppo, 1986b; Petty & Cacioppo,19868).10
Motivation
refers to the extent towhichpeople aremotivatedto consciouslyprocesstheinformation (ormessage). People'smotivation is influencedby variables
in a communication. Forexample, is theattitudeobjectofpersonal relevance? Is the person motivatedtolearn (see "needfor cognition",Cacioppo& Petty, 1982).
Abuity
refers to the extent to which people are able to process the
information. Both
personal and environmental factor may affect people's ability. For example, are
people distracted byexternal sources? Do they understandthe arguments? Do they
havetopic-relevantknowledge?Elaboration likelihood is highwhen peoplearehighly
motivated and able to engage
in
issue-relevantthinking. If, on
the other hand, conditionsinhibit
people's motivation andability
elaboration islikely to be low.
Depending on the degree
of
elaboration people either follow the'central' or
'peripheral' route of persuasion to form their attitudes (e.g., Petty & Cacioppo, 19868).Central-route attitudesareformedwhenelaboration is high.Theinformation provided is carefully scrutinised and information processing is extensive (much
cognitive effort). Alternatively, peripheral-route attitudes are
formed when
elaboration is low.
The amountof
cognitiveeffort that has
beenspent on the
9 The ideathatcognitiveresponses,likelearning,change andformattitudesisincorporated in the cognitiveresponsemodelofattitude formation(e.g.,Hovland, Janis, &Kelly, 1953)
'° In addition to ELM, Batra & Ray (1986) discuss a thirdelement in relation to cognitive processing:opportunity. In their MAO model (motivation, ability, opportunity) they use the
32 Chapter 2
PersuasiveCommunication ,
Peripheral AttitudeShift
,C Attitude is relatively temporary.
; susceptible. and unpredictive of ; ; behaviour. ;
Motivated to Process? .
(personalrelevance: need for cognition: NO Yes I
personal responsibility: etc.)
\ * PeripheralCuePresent?
Yes Positive/negativeaffect; attractive
V /expertsources:number of
Ability toProcess? / arguments: etc.
Idistraction;repetition:priorknowledge: NO A
message comprehensibility) No
Yes
V
Nature of CognitiveProcessing
i Retain or
Favourable Favourable Neither or
Regain Initial
thoughts thoughts neutral
Attitude
predominate predominate predominate
V V
CognitiveStructureChange:
No
Arenew cognitions adopted and stored
in memory@ Aredifferentresponses
mode salientthanpreviouslyg
1
Yes 1 Yes
(favourobie) unfavourable) ' Central i Central ; ; positive ; negative ; 1 attitude ; attitude i ; change t change Z ; Attitudeisrelatively 1endunng. resistant, and
' predictiveofbehaviour.
Figure 2.4. The elaborationlikelihoodmodel
of
persuasion(Petty &Cacioppo, 1986b).
information islow. People's attitudes are more orless formed on the basis ofsimple cues in the environment or on existing schemata. It is
further
argued that central-route attitudesarepersistent, resistant, consistent and more predictive ofbehaviour,while peripheral-route attitudes are more orlesstemporary, superficial, susceptible, and less predictive of behaviour. For example, someone who has extensively processed the relevant information (arguments) andanalysed the pros and cons of
each piece
of information is
morelikely to form a
more persistent attitude thansomeonewhotakesworth-to-mouth information asaprincipalsourceof information.
Product TrialsandProductEvaluation 33
Implications of the Elaboration Likelihood Model for Product Trials
TheELMdescribesconditions under whichpeople
form
particulartypesof
attitudes.Depending on the elaboration
likelihood of
an information source theywill
adopt eithertemporary attitudes (peripheral route) or persistent attitudes (central route).Especially
in
highly competitive environments,retailers wishto persuade consumersof
the benefitsof their
products over all other competitor brands, and persistent attitude changes through central-route persuasion is whatretailers may wish to
reach.
Let us consider the two
factors in the
ELM, motivation and ability, whichdetermine the amount ofelaboration.
In
order for a producttrial to be
an effective tactic, consumers must be motivated to engage with the producttrial. When
consumers do not expect to learn anything new
from trial, they are
lesslikely to
appreciate thetrial and
this resultsin
low-order beliefs. Once a product has beenselected as appropriate
for trial,
product sampling can increase motivation. Thesecond
factor in the
ELM, ability, asserts that consumer'sprior
knowledge,environmental factors, or clarity of
information may act on
theamount of
elaboration. It will not make sense to ask anon- mechanic to assessthequality of a
car engine. Likewise, the true advantagesof walking shoes cannotbe assessed when they areworn during acycle tripor duringa5-minute walk to the railway station. In
short, when the credibility and representativeness of a product's true performance
cannotbe assessedduring the
trial
period it is said that thetrial
validity is low. When the credibilityand representativeness of true performance canbejudged inthe giventrial
period thetrial validity is high
(e.g., Kempf & Smith, 1998). Related totrial
validity is the trial diagnosticity and is defined as the degree to which consumers believethe
trial
isusefulin evaluatingaproduct's attributes (Kempf &Smith, 1998). The degreeof diagnosticityisinfluenced bywhetheraproduct'ssalientattributes canbe evaluated by
trial or not.
Atrial
is highly diagnostic when, throughtrial, the
product's attributes can directlybe evaluatedwithout ambiguity in the information, orwithout
problems due to lackof
expertise. On theother hand, atrial
ishighlynon-diagnostic when a product's salient attributes cannotbe evaluated bytrial, or when
expertise is missing. An example of a highly diagnostic
trial
is eating an entirechocolate bartoassessitssweetness.
34 Chapter 2
Attribute Information Typesand RelatedConsumption Behaviour
Product attributes can roughly be classified in three types: search attributes,
experience attributes, and credence attributes (e.g., Nelson, 1970; Wright & Lynch,
1995; Kempf, & Smith, 1998). Search attributes can be evaluated
without
direct experience, and can be obtained indirectly (e.g., through advertisement claims,product reviews). Examples are form, shape, and colour. Experience attributes can
onlybe evaluatedthrough directexperience. Examples aretaste, userfriendliness of appliances, speed, or, more generally, true performance of a good. Products that
consist
of
mainly search attributes are labelled search goods and products thatconsist
of
mainly experienceattributes are labelled experience goods. In addition tothese goodsthere is also the type of good
of
whichanattribute cannotbe evaluatedbut has tobebelieved.These goods arecalled credence goods. Examples
of
credence goods are green electricity, free-range eggs, and biological products.In
short, there aresearchgoods,experiencegoods, and credencegoods.Searchand experiencegoods fit more or less into two perspectives
of
consumptionbehaviour: theinformation processing view and the experiential view (see Holbrook & Hirschman, 1982). According to the information processing view theconsumer's task is to evaluate andjudge through'secondary process' thinking. Thesesecondary processes include search
for
information, retrieval from memory and weighting of evidence.Alternatively, the experiential view emphasises 'primaryprocess'thinking andhedonic responses. This typeof consumptionis pleasureoriented andresults in pleasure, fun, and gratification.Attention is paid to
the hedonic components ofconsumption (e.g., a
visit to
a theme park).11 In product trials, consumers aresearching
for
information about search attributes, so producttrials fit into the
information processing view.12Attitude Formation
inProduct Trials
The purpose of a product
trial is
for
consumers to evaluate products, and assessproduct quality while interacting with them. Productinformation isobtaineddirectly and continuously. Because of the interactive learning process (new
information is
encountered and integratedinto
existing knowledge), attitudes toward the product (or productfeatures) arelikely to be 'updated' instantly. For example, once in a PC11
It should bementioned thatthere is no one-to-one relationshipbetween the information processing view and search attributes, and the experiential viewand experience attributes. For example, one maysearchfor information (informationprocessing view) about the taste of
a newsnack(experienceattribute).
12