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Seeking to escape: sights over approach-avoidance dialectics

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INTERNATIONAL

TOURISM

CONFERENCti.

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SEEKING TO ESCAPE: SIGHTS OVER APPROACH-AVOIDANCE DIALECTICS

Carlos Peixeira Marques, CETRAD, UTAD, Portugal. E-mail: [email protected]

Introduction

Pleasure travel motivation has been identified as the initial stage of the process by which travellers set goals that are attainable by their travel behaviour (Mansfeld 1992). In this sense, people engage in pleasure travel because they have some socio-psychological needs eventually satisfied by experiencing a different environment for a limited time. This study assesses the structure of Portuguese domestic pleasure travel motivations in an approach-avoidance framework, conceptualized by Fennell (1975, 1978) and Rossiter and Percy (1987) for the generic consumer motivation, and by Iso-Ahola (1980, 1982,

1983) for the specific leisure, travel and tourism motivations.

From a marketing perspective, one should be aware that marketing programmes only work effectively if based on the motivation that is relevant for the target market (Rossiter and Percy 1987). In the approach-avoidance conception of consumer motivation, one should expect the prevalence of escape motivation to occur when the dominant experiences are stressful, i.e. when people experience unpleasant high levels of arousal, in the terms of environmental psychology " (Russell and Pratt 1980). On the other hand, approach motivation forces ariseeither from a sense of unpleasant low levels of arousal or from a neutral state. In reversal theory (Apter 1989) one would say that escape is a telic mode of need satisfying, by "relaxing", while the increase in excitement sought by approach motivation dimensions is the paratelic mode of need satisfying. Note i: that what matters is the level of arousal felt and, for instance, in a telic state a (physically or intellectually) demanding leisure activity may be felt as "relaxing" (O'Connell and Calhoun 2001).

According to Iso-Ahola (1982) the relative importance of approach and avoidance motivations is due to the experience of contradictions and conflicts within the individual and between him or her and others, thus when setting goals for travelling, tourists tend to optimize/compensate their levels of arousal. Nevertheless, he repeatedly stresses that tourists usually are motivated by both seeking (approach) and escape (avoidance): "tourism is a dialectical process because it provides an outlet for avoiding something and for simultaneously

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Building up on Iso-Ahola's theory, this article aims to suggest that tourism products and services positioning options should be assessed on the basis of the relative importance of approach dimensions.

Data and Methods

This study is part of a research on motivation, attitudes and behaviour of Portuguese domestic traveIlers. Data .for this analysis were coIlected from telephone interviews conducted during July 2004 with a stratified sample of households from mainland Portugal (i.e. NUTS I Continente). The strata were formed by grouping municipalities on the bases of geographical location and of some demographic variables known to be linked to the probability of engaging in domestic pleasure travel - age and education. Municipalities were selected at random in each strata, household telephone numbers at random in each municipality and respondents at random in each household, provided they were aged between 18-84. Total sample size was 1700, but only Y3of interviewees were identified as pleasure travellers and given all questions, including travel behaviour and recreational activities and pleasure travel motivation; the remaining 73 answered only to the common questions on attitudes to particular destinations and some psychographic and demographic variables.

The subsample analysed is composed by respondents who answered all motivation items (n = 558). In the research project respondents were weighted to match the variables gender, age and education at the municipality level, but the analysis reported here was done on the unweighted sample, since it acceptably matches the characteristics of Portuguese domestic travellers in all variables, according to data from National Bureau of Statistics (PORTUGAL 2004).

The motivation items were assessed by a seven point scale with poles labeIled "not at all important" and "fuIly important" and the points in-between unlabeIled. Based on literature review and personal interviews, 33 items were developed and tested in 100 telephone interviews with pleasure traveIlers. The data from this test were factor analysed and items that had less common variance and/or most extreme positive or negative skewness were eliminated, with the aim to have about 20 items in the final questionnaire. The actual number of items included in the study was 19, but two of them - "do nothing

at all'' and "seek solitude" - were further removed from the analysis because they showed poor correlations with other items on the respective factors, thus degrading scale reliability. The final solution is a four factor analysis resulting from principal axis factoring (P AF) extraction of a correlation matrix with squared multiple correlations in the main diagonal, and oblimin rotation, done

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with SPSS 12. The number of factors retained was detennined by paraIlel analysis (PA) via a Monte Carlo simulation with

1000

matrixes of the same size of the data matrix and composed of random aenerated numbers; the

eingenvalues of the data analysis were compared

with the 9Sth

percentile of the

values :trom the PA (O'Connor 2000)

The use of common factor analysis instead of the widely

used

principal component analysis (PCA) is justified for theoretical realon., viz. the fact that we intend to measure latent variables that "cause" the common variance of the observed variables (Bartholomew, Steele, Moustaki and Galbraith 2002; Ford, MacCaIlum and Tait 1986; Preacher and MacCaIlum 2003)

and

oblique rotation is justifiable since we don't have any reason to sustain an orthoionality assumption (Ford et aI., 1986).

OIj\\t To analyse the influence of background variables, as proxies for the routine environment experienced by respondents, on travel motivations. we executed a multivariate analysis of variance (MANOV A) with some of those variablel as factors and standardized noncentred factor scores (Thompson

1993)

as

dependent variables. Results and Discussion

Factors are interpretable on the basis of the pattern matrix, so the first factor. being related to items expressing the needs for relatedness and ego-enhancement, is labelled social factor. The second factor relates to items expressing avoidance motivation and, to a less extent, the need to have fun, thus it is equivalent to Iso-Ahola's escape dimension. Intellectual needs are linked to the third factor, labelled knowledge, while in the fourth the highest loadings are from items related to the need to experience something new and different, so the label novelty was chosen.

In the approach-avoidance conception of motivation, this structure is determined by one sole avoidance dimension identical to Iso-Ahola' s (1980,

1982) escape dimension, and three approach dimensions, two of which resembling the social and intellectual components of the Leisure Motivation Scale (Beard and Ragheb 1983), the third best described as expressing the need for novelty and adventure.

As to the relative strength of motivation factors, results clearly show that escape is the main motivator of (domestic, at least) pleasure travel, in accordance to Iso-Ahola (1982) assumption. After all, getting away is the most obvious reason for taking a holiday (Ryan 2002) and the escapade concept is dominant in the

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increasing short-break market (Mannell and Iso-Ahola 1987). We found significant relations between motivation factors and age, education, urbanization and employment status of respondents, but the most parsimonious model of the relation between motivation dimensions and background variables was found to be the one considering only the fixed-effects from age and employment status. The effect of being young in novelty is the largest from the model. Compared to other age groups, young adults tend to score higher on social motivation, while mature present the highest knowledge scorcs. Regardless of age, those employed have a stronger need to escape. As expected, escape was estimated to be the main motivator for all combination of age and employment levels, despite being considerably higher for young employed than for mature non-employed (mostly retired). Young non-employed (mostly students) have relatively higher social needs and relatively lower knowledge needs, while mature employed show the opposite trend. The largest difference in motivation importance, however, is between young and mature, in the need for novelty.

Resorting to Rossiter and Percy (1987), we assert that avoidance motivation is primarily related to the category need in tourism, whereas approach motivations are relevant to brand attitude. The basic idea is to assume that escape needs are a necessary condition for people to go on holidays, thus avoidance motivation is present on every market segment; it is on the basis of approach motivations that destination marketers must position their offer, finding the benefits that best match the relevant (approach) motivation(s) to their target(s) in a unique way. According to the results of our analysis, if the target are students, for example, marketing efforts should accentuate benefits linked to opportunities to socialize and adventure oneself; if the target are young employed, emphasis on adventure should surpass contact occasions; to the mature segments, on the other hand, efforts may be directed to the opportunity to gain knowledge on established sights.

Finally we maintain that this idea adds to the theory of Iso-Ahola by showing that market segments may be identified not by splitting between seekers and avoiders, but by the way travellers seek to avoid, i.e. to which (or in which combination of) approach dimension they resort to increase excitement (i.e. pleasant stimulation) in order to avoid unpleasant states, and we suggest that these approach dimensions are social, intellectual and adventure or novelty, admitting others not apparent in our data, such as hedonism or indulgence.

References

Apter, MJ. (1989) Reversal Theory: Motivation, Emotion, and Personality.

London; New York: Routledge.

Bartholomew, D.J., Steele, F., Moustaki, I., and Galbraitl), J.I. (2002) The Analysis and Interpretation of Multivariate Data for Social Scientists.

Boca Raton, Fla.: Chapman & Hall/CRe.

Beard, J.G. and Ragheb, M.G. (1983) Measuring Leisure Motivation, Journal of Leisure Research, 15 (3): 219-228.

Fennell, G. (1975) Motivation Research Revisited, Journal of Advertising Research, 15 (3): 23-28.

Fennell, G. (1978) Consumers' Perceptions of the Product-Use Situation.

Journal of Marketing, 42 (2): 38-47.

Ford, J.K., MacCallum, R.e. and Tait, M. (1986) The Application of Exploratory Factor Analysis in Applied Psychology: A Critical Review and Analysis. Personnel P.\ycllOlog"y. 39 (2): 291-314.

Iso-Ahola, S.E. (1980) The Social Psychology of Leisure alJd Recreation.

Dubuque, Iowa: W.e. Brown.

Iso-Ahola, S.E. (1982) Toward A Social Psychological Theory of Tourism Motivation: A rejoinder, Annals (~lTourism Research, 9 (2): 256-262. Iso-Ahola, S.E. (1983) Towards A Social Psychology of Recreational Travel,

Leisure Studies, 2 (1): 45-56.

Mannell, R.e. and Iso-Ahola, S.E. (1987) Psychological Nature of Leisure and Tourism Experience, Annals of Tourism Research, 14 (3): 314-331. Mansfeld, Y. (1992) From Motivation to Actual Travel, Annals of Tourism

Research, 19 (3): 399-419.

O'Connell, K.A. and Calhoun, J .E. (2001) The Telic/paratelic State Instrument er/PSI): Validating A Reversal Theory Measure, Personality and Individual Differences, 30 (2): 193-204.

O'Connor, B.P. (2000) SPSS and SAS Programs for Determining the Number of Components Using Parallel Analysis and Velicer's MAP Test. Behavior

Research Methods, Instruments, & Computers, 32 (3): 396-402. PORTUGAL, LN.E. (2004) Estatisticas Do Turismo 2003. Lisboa: LN.E.

Preacher, K.J. and MacCallum, R.e. (2003) Repairing Tom Swift's Electric Factor Analysis Machine. Understanding Statistics, 2 (1), 13-43.

Rossiter, J.R. and Percy, L. (1987) Advertising and Promotion Management

(International ed.). Singapore: McGraw-Hill Book Co.

Russell, J.A. and Pratt, G. (1980) A Description of the Affective Quality Attributed to Environments, Journal of Personality and Social P.\ychology, 38 (2): 311-322.

Ryan, e. (2002) Motives, Behaviours, Body and Mind. In e. Ryan (Ed.), The

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Thompson, B. (1993) Calculation of Standardized, Noncentered Factor Scores: An Alternative to Conventional Factor Scores. Perceptual and Motor

Skills, 77 (3): 1128-1130.

Acknowledgement: This research was funded by the project INTERREG III A SP2 P11 - Douro-Duero Sec. XXI.

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