Accommodation Preferences of the Girlfriend Getaway Market: Self-Image, Satisfaction and Loyalty Abstract The study aims at identifying the dimensions of accommodation and service of importance to the girlfriend getaway (GGA) market and their relationship with self-image, satisfaction and loyalty. Analysis of data from 540 women travellers who participated in a GGA in Malaysia revealed eight dimensions of accommodation preferences such as Room Amenities, Safety, and Room Design and Decoration, among others. Not all accommodation dimensions predicted self-image, satisfaction and loyalty. In fact, self-image and satisfaction were stronger predictors of loyalty than accommodation dimensions. Theoretical and managerial implications are offered. Keywords: self-image, women, girlfriend getaway, satisfaction, Asia Introduction Existing studies on women’s accommodation preferences have focused primarily on female business travellers (for examples, Lutz & Ryan, 1993; Marzuki, Chin, & Razak, 2012; Sammons, Moreo, Benson, & Demicco, 1999). More recent research on women travel have highlighted the emergence of the GGA market (Berdychevsky, Gibson, & Bell, 2013; Gibson, Berdychevsky, & Bell, 2012; Khoo-Lattimore & Prayag, 2015), a market that sees females travelling with other female friends and relatives, typically in groups of between two and three. When compared to other female travel types (such as business, solo, romance or family), Khoo-Lattimore and Prayag (2015) argued that female guests on GGAs exhibit different accommodation and service preferences. Their study revealed that women in the allfemale travel market are heterogeneous and can be segmented into five clusters. However, an important area of research relevant to the study of women and their consumption behaviour is the role and influence of the self (Belk, 1988) and self-image (Grubb & Grathwohl, 1967). Studies in marketing have long theorized that self-image is an important determinant of consumer behaviour (Ericksen, 1997; Grubb & Grathwohl, 1967; Heath & Scott, 1998; Hong & Zinkhan, 1995; Landon Jr, 1974; Onkvisit & Shaw, 1987; Ross, 1971; Sirgy, 1982). Self-image as a concept has been shown to be positively related to satisfaction (Back, 2005; Kressmann et al., 2006; Sirgy & Samli, 1985), as well as loyalty (Sirgy, Grewal, & Mangleburg, 2000; Sirgy, Lee, Johar, & Tidwell, 2008). Currently, no research has been dedicated to understanding women’s self-image and its link to tourism decisions, including accommodation consumption choices. This study provides insight into how women’s self-image acts as an antecedent of satisfaction and loyalty in the context of accommodation. More specifically, the study ascertains the accommodation attributes of importance to the GGA market and their relationships with self-image, satisfaction and loyalty (see Figure 1). Figure 1: Theoretical Framework Accommodation Preferences Women SelfImage Satisfaction with Hotel Experience Loyalty Literature Review Accommodation Preferences of Female Travellers Various accommodation attributes such as room cleanliness, self-catering facilities, views from the room, food and location have been identified as antecedent of guest satisfaction (Chadee & Mattsson, 1996; Khoo-Lattimore & Ekiz, 2014; Nash, Thyne, & Davies, 2006). Whether the same attributes apply to female leisure travelers have been sparsely researched. Relative insights can be drawn from studies on female business travelers (Lutz & Ryan, 1993; Phadungyat, 2008; Sammons et al., 1999), which suggest women placed higher priorities than men on safety and security and comfortable dining experiences (Lutz & Ryan, 1993). McCleary, Weaver, and Lan (1994) also noted that women were more concerned with the hotel’s safety and security features such as peep hole, surveillance camera, and bright carpark. Sammons et al. (1999) study of female business travelers’ preference for accommodation revealed that women-only floor, feminine décor (such as pastel-colored rooms) and female toiletries (bubble bath and nail polish remover) were unimportant. Instead, they placed high importance on hotel cleanliness and security provisions. The issue of safety and security seems to be a consistent finding across many studies on women travelers and accommodation preferences. In the broader services marketing literature, gender differences on service evaluations are noted for advertising assessment (McDaniel & Kinney, 1998) and satisfaction judgments (Dubé & Morgan, 1998). Yet, in evaluating hotel and restaurant settings, Mattila (2000) failed to demonstrate the impact of gender on service encounter evaluations. Hence, contradictory evidence exists on whether females evaluate services differently from males. Self-image Self-image consists of two main concepts - actual self and ideal self (Landon Jr, 1974). The self-image theory holds that a consumer’s image and concept of themselves can be upheld, expressed and augmented through the products they purchase and use. Later, scholars began extending the self-image theory to include self-congruence, that is the match between the consumer’s self- image and the image of the products they consume. Studies on selfcongruence have revealed that consumers who achieve self-image congruence maintain loyal attitudes toward, and consuming brands that are perceived to be comparable to their selfimage. Self-image has been measured using semantic scales that depict orientations such as traditional vs. modern and conformist vs. non-conformist, among others (Dolich, 1969). Arguably, a woman who prefers her accommodation to be tastefully decorated with stylish interior design and service customization should be indicative of her being sophisticated and modern rather than traditional and conformist. Although the notion that one’s self-image can direct specific purchase behaviours is well accepted, very few studies have applied the concept to tourists (Hosany & Martin, 2012). One of the earliest tourism studies on this topic Chon (1992) who investigated self-concept as an antecedent of destination choice. His work has been subsequently followed up on by several authors (Ahn, Ekinci, & Li, 2013; Goh & Litvin, 2000; Hosany & Martin, 2012; Litvin & Goh, 2002; Sirgy & Su, 2000), but such studies primarily focus on destinations. Outside the destination context, tourism scholars have studied the influence of self-image congruence on settings such as cruise vacations (Hosany & Martin, 2012; Hung & Petrick, 2011); time-share ownership (Sparks, Bradley, & Jennings, 2011); country clubs (Back & Lee, 2009) and hotels (Wilkins, Merrilees, & Herington, 2009). One notable omission in the literature is the role and influence of accommodation preferences on women’s actual and ideal self. Self-image, Satisfaction and Loyalty Studies have only begun to establish some relationships between self-image and satisfaction (Wilkin et al., 2009), and between image congruence and loyalty (Back, 2005; Han & Back, 2008). While some scholars claim that guest satisfaction is positively related to loyalty (Kandampully & Suhartanto, 2000), others however argued that satisfaction may not necessarily lead to loyalty (Bowen & Chen, 2001). As Wilkins, et al (2009) sums up, there needs to be more empirical work applying self-image theory on guest satisfaction and loyalty. Our study addresses this knowledge gap and investigates the accommodation attributes important to women on GGAs and their relationships with self-image, satisfaction and loyalty. Method Survey Instrument The constructs in this study were measured using items adapted from the literature and multiphases of qualitative research. Initially, 77 attributes of general importance to female hotel guests were identified from previous studies (Babakus et al., 2005; Lutz & Ryan, 1993; McCleary et al., 1994; Phadungyat, 2008; Sammons et al., 1999). This list is further refined after in-depth interviews with 13 women who had previously participated in a GGA. Further, three groups of four women were invited to experience a girlfriend getaway at a three star boutique hotel in Malaysia. At the end of their stay, these women were invited to participate in three focus groups. The qualitative data were used to refine the list of attributes to 63, of which 14 were safety and security items, and these were measured on a five-point importance scale (1=Not at all important and 5=Extremely important). Self-image was measured using 8 items representing the dimensions of actual (4 items) and ideal self (4 items) adapted from literature (Dolich, 1969; Grubb & Grothwohl, 1964) on a five-point semantic scale. Overall satisfaction was measured on a five point likert scale (1=Very Dissatisfied and 5=Very Satisfied) using one item adapted from Oliver (1997). Loyalty was measured using three items of intention to revisit, recommend and willingness to pay more adapted from Zeithaml, Berry, and Parasuraman (1996). Sampling and Data Collection Respondents for the survey were recruited from a resort’s membership database. First, only female members that are known to have shared their rooms with only other female guests between February and March 2013 were included. Second, the female guests were travelling mainly for holiday purposes. These criteria yielded 3,856 females that had holidayed in hotels of the group in Malaysia (96.7%) and Singapore (3.3%). The survey instrument was emailed to all respondents that had a recorded email address in the database (2,086). The survey resulted in 540 useable questionnaires. Data Analysis The data were randomly split into two halves to perform factor analysis. One-half of the data set (n=270) was used to conduct exploratory factor analysis (EFA) on the accommodation attributes. Confirmatory factor analysis (CFA) was conducted on the other half (n=270) to establish confidence in the measurement model of accommodation attributes and to test for convergent and discriminant validity. The maximum likelihood method of estimation was used for the CFA. Third, regression analysis was used to identify relationships between these accommodation dimensions, self-image, satisfaction and loyalty. Findings Sample Characteristics The sample profile (Table 1) indicated slightly more single (44.7%) than married (43.5%) female travellers. Travellers in the 18-20 age group composed 8.6% of the sample, followed by the 21-30 years old (25.7%). Almost a third (32.4%) of the sample had completed secondary education, with 37% holding a graduate degree (Table 1). The majority of respondents were of Malaysian nationality (54.7%) followed by Singaporean (22.5%). In terms of their stay, the majority of GGA customers stayed for 1-3 nights (89.5%) and described their main purpose of visit as being leisure oriented (51.4%). Table 1: Demographic and travel characteristics of the sample Variable Marital Status Age Educational level completed Percentage Single 44.7 Married 43.5 Separated/Divorced 11.8 18-20 8.6 21-30 25.7 31-40 30.5 41-50 22.7 51-60 Variable No. of nights stayed Main purpose of trip Percentage 1-3nights 89.5 4-6nights 6.2 >6nights 4.3 Leisure 51.4 Socializing 33.5 Bonding Previous stay with hotel group 5 Yes 96.9 12.5 No 2.8 Primary education 14.6 Don't know 0.3 Secondary education 32.4 Graduate degree 37 Post-graduate degree 13.6 Others 2.4 Nationality Malaysian 54.7 Singaporean 22.5 Indian 6.6 Indonesian 5.2 Chinese 5.5 Thai 3.1 Others 2.4 Exploratory Factor Analysis (EFA) Given that there are no established scales to measure accommodation attributes in the tourism and hospitality literature, a series of EFA was used to reduce the number of items depicting the various dimensions of accommodation attributes for GGA customers. Using a varimax rotation, cut-off value of an eigenvalue of 1 or above and a factor loading of 0.4 and higher, the 14 items of safety and security resulted in three underlying dimensions explaining 61.44% of total variance. As shown in Table 2, all three factors met the minimum requirement of 0.7 or 0.6 and above in exploratory studies (Hair et al., 2006) for internal consistency. Table 2: EFA safety and security items Safety & Security Factors/Items Item Loadings Factor 1: Safety and Security I SS10: Hotel has covered parking area 0.826 SS9: Hotel has brightly lit parking area 0.777 SS13: Hotel has a direct dial to security/police/safety authorities 0.622 SS11: Hotel offers smoke detector in individual room 0.579 SS12: Hotel room door has peep hole built in 0.573 SS14: Hotel has telephone call filter service 0.522 SS8: Hotel notifies you before room delivery service 0.521 Factor 2: Safety and Security II SS1: Hotel offers secure lifts and floor access 0.865 SS2: Hotel offers deadbolt/electronic door locks 0.797 SS4: Hotel offers surveillance/security cameras in hallways 0.756 SS6: The room has an emergency alarm 0.560 Factor 3: Safety and Security III SS7: The room allocated to you is located at the end of hallways or near stairwells) SS5: Hotel offers you to stay on higher floors SS3: Hotel offers female only staff (from housekeeping to room service) Eigenvalue Variance explained (%) Reliability alpha 3.32 23.73 0.863 3.32 23.73 0.858 1.96 13.98 0.605 0.814 0.683 0.578 The 49 items representing room amenities and other services offered to guests were factor analysed. Using the same criteria as before for factor extraction, the results suggested that one item did not load significantly on any of the factors and were thus removed. The final solution revealed the existence of fourteen underlying dimensions that explained 71.18% of total variance. As shown in Table 3, only eleven of the fourteen factors had Cronbach’s alpha > 0.6 for internal consistency and reliability. The factors were labelled as shown in Table 3. Table 3: EFA of accommodation attributes Factor/Items Item Loadings Factor 1: Hotel Room Amenities I HRA4: Room has full body mirror 0.832 HRA3: Room has ironing board and steam iron 0.830 HRA5: Room has make-up mirror with magnifier 0.795 HRA2: Room has high powered hair dryers 0.691 HRA6: Room has dressing mirror with white light 0.621 HRA8: Hotel offers superior quality bath towels 0.468 Factor 2: Room Design and Atmosphere RDD4: Hotel room is bright and airy 0.881 RDD3: Hotel offers non-smoking rooms and floors RDD2: Hotel uses neutral/light coloured scheme in the room RDD5: Hotel room has easy to operate light and sound system 0.860 RDD1: Hotel offers a bigger room for female customers RDD6: Room has a different feel and atmosphere from other standard hotels 0.756 Reliability alpha 4.01 8.36 0.936 3.80 7.91 0.917 3.01 6.27 0.872 2.98 6.21 0.814 2.72 5.68 0.889 2.40 5.01 0.845 2.37 4.94 0.921 2.36 4.92 0.784 0.825 0.815 0.434 Factor 3: Core Services COS3: Hotel offers hair stylist on site 0.818 COS4: Hotel has indoor swimming 0.779 COS2: Hotel offers free airport transfers 0.726 COS1: Hotel offers 24 hour room service 0.696 COS5: Hotel offers free local telephone call from room 0.637 Factor 4: Room Amenities II HRA7: Hotel offers branded amenities and luxury bath products 0.712 HRA10: Room has extra skirt hangers 0.662 HRA1: Room has comfortable mattress & pillows 0.653 HRA14: Room has DVD player 0.583 Factor 5: Room Comfort & Cleanliness RCC2: Hotel has well maintained furniture and room fittings RCC1: Hotel has clean facilities (e.g. bathroom, lobby, lifts) 0.908 RCC3: Hotel offers pre-arranged check-in 0.823 0.895 Factor 6: Staff Service Delivery STF4: Staff provide a prompt service STF5: Staff have knowledge to provide accurate information and assistance 0.888 STF3: Staff provide a sincere service 0.670 0.872 Factor 7: Staff Attitude STF2: Staff are respectful and courteous 0.883 STF1: Staff are friendly 0.880 Factor 8: Room Amenities III Eigenvalue Variance explained (%) HRA11: Room provides additional bottles of drinking water 0.744 HRA12: Room has scented candles 0.710 HRA16: Room has sanitary pads 0.563 HRA15: Room smells nice 0.545 Factor 9: Food & Beverage FNB2: Hotel offers healthy options in room-service menu 0.819 FNB1: Hotel offers healthy options in restaurant menu 0.703 FNB3: Hotel offers a good breakfast buffet 0.701 Factor 10: Room Amenities IV HRA13: Room has yoga mat HRA9: Hotel offers luxury feminine toiletries (e.g. nail polish, nail polish remover) Factor 11: Augmented Services I AUS2: Hotel offers discounts for massages and spa treatments AUS1: Hotel offers shopping vouchers and discounts AUS3: Hotel offers free transport to nearby shopping malls 4.01 0.688 1.90 3.96 0.814 1.89 3.93 0.674 1.86 3.88 0.592 1.66 3.46 0.590 1.29 2.68 0.398 0.798 0.532 0.826 0.661 0.651 Factor 12: Hotel Activities HOA2:Hotel offers activities that female guests can do together 0.818 HOA3: Hotel offers board games in room 0.716 HOA1: Hotel offers yoga classes 0.527 Factor 13: Augmented Services II AUS4: Hotel organizes bonding activities with girlfriends (e.g. lunch, dinner or pool chats AUS5: Hotel offers loyalty cards with added value (e.g. discount on next stay or packaged hotel offers 1.92 0.760 0.739 Factor 14: Bath Amenities HRA18: Room has bath salts 0.865 HRA17: Room has bathtub 0.507 Confirmatory Factor Analysis (CFA) A CFA was used to establish confidence in the measurement model for accommodation attributes (Anderson & Gerbing, 1988). Several goodness-of-fit indices such as NFI >0.9, CFI>0.9, TLI>0.9, RMSEA<0.08 and χ2/d.f.<3 (Hair et al., 2006) were used to evaluate the measurement model in terms of parsimony and substantive meaningfulness. While the initial model displayed poor fit on some indices (e.g., CFI=.831, TLI=.810) and acceptable fit on others (RMSEA=0.05, χ2/d.f.=1.79), modification indices suggested a more parsimonious model could be obtained by deleting several dimensions and items. Dimensions with Cronbach’s alpha < 0.7, as expected, displayed poor consistency and reliability and, hence, the dimensions of Safety (Factor 3), Staff (Factor 2), Bath Amenities, Food and Beverage, and Augmented Service (Factors 1 and 2) were deleted. Along with these, five items were deleted (RDD6, RDD7, COS5, COS6, and SS10). The final model (Table 4) displayed good fit (χ2=557.36, d.f=399, χ2/d.f.=1.397, CFI=.925, IFI=.953, TLI=.944, RMSEA=.039). The accommodation dimensions showed good internal consistency reliability (Table 4), with CR values exceeding the value of 0.7 (Fornell & Larcker, 1981). Convergent validity was supported by AVE values exceeding the value of 0.5. The square root of the AVE of each construct was larger than the correlation coefficients involving the construct, thus confirming discriminant validity (Fornell & Larcker, 1981) Table 4: Confirmatory Factor Analysis Results for Accommodation Dimensions Factors/items Std. β C.R. S.E. Room Amenities Room Amenities Factor 1 0.929 N/A Room Amenities Factor 2 0.686 12.146*** 0.063 Room Amenities Factor 3 0.565 9.583*** 0.063 Room Amenities Factor 4 0.764 13.85*** 0.073 Room Design and Decoration Hotel room is bright and airy 0.863 N/A Hotel offers non-smoking rooms and floors 0.827 14.524*** 0.069 Hotel uses neutral/light coloured scheme in the room 0.895 14.699*** 0.074 Hotel room has easy to operate light and sound system 0.680 14.068*** 0.055 Hotel offers a bigger room for female customers 0.705 12.227*** 0.066 Core Services Hotel has indoor swimming 0.551 7.001*** 0.1 Hotel offers hair stylist on site 0.856 8.921*** 0.126 Hotel offers free airport transfers 0.692 7.934*** 0.113 Hotel offers 24 hour room service 0.774 N/A Room Comfort and Cleanliness Hotel has clean facilities (e.g. bathroom, lobby, lifts) 0.865 N/A Hotel has well maintained furniture and room fittings 0.956 19.48*** 0.056 Hotel offers pre-arranged check-in 0.782 15.748*** 0.051 Hotel Activities Hotel offers board games in room 0.755 N/A Hotel offers activities that female guests can do together 0.785 4.249*** Staff Staff provide a sincere service Staff provide a prompt service Staff have knowledge to provide accurate information and assistance AVE 0.831 0.559 0.897 0.638 0.814 0.529 0.903 0.758 0.745 0.593 0.821 0.615 0.773 0.514 0.710 0.502 0.252 0.625 N/A 0.998 9.293*** 0.174 0.678 9.810*** 0.112 Safety Factor 1 Hotel has brightly lit parking area 0.618 N/A Hotel room door has peep hole built in 0.567 7.370*** 0.142 Hotel has a direct dial to security/police/safety authorities 0.742 8.817*** 0.152 Hotel has telephone call filter service 0.577 6.624*** 0.19 Hotel notifies you before room delivery service 0.510 6.792*** 0.158 Hotel offers smoke detector in individual room 0.586 7.552*** 0.172 Safety Factor 2 The room has an emergency alarm 0.625 N/A Hotel offers surveillance/security cameras in hallways 0.676 7.993*** 0.133 Hotel offers deadbolt/electronic door locks 0.537 6.911*** 0.117 Hotel offers secure lifts and floor access 0.587 7.397*** 0.131 ***significant at p<0.001 CR Regression Models of Self-Image, Satisfaction and Loyalty Due to the large number of items for the accommodation dimensions, composite measures were created and the full sample (N=540) was used for the regression models. Five step-wise regression models were run. Prior to this, the main assumptions of regression in terms of multicollinearity and homocedasticity were tested. All models had Durbin-Watson statistic close to 2 and VIF/Tolerance values were all within the limits. Accommodation Dimensions and Self-Image A step-wise regression model showed no significant relationship between a woman’s actual self-image and the importance of accommodation dimensions on a GGA. However, there was a significant relationship between accommodation dimensions and ideal self-image. The stepwise model showed that only four accommodation dimensions explained 7.8% of the variance in social self-image. The more women travellers assigned higher importance levels to Hotel Activities (β=-0.239, p<0.001), the less likely they would like to see themselves as unsophisticated, traditional, conformist and disliking new experiences. The more they assigned higher importance levels to Core Services (β=0.118, p<0.01), Safety Factor 2 (β=0.088, p<0.05), Room Amenities (β=0.088, p<0.05), the more likely they would like to see themselves as unsophisticated, traditional, conformist and disliking new experiences. Accommodation Dimensions, Self-Image and Overall Satisfaction Overall satisfaction with the hotel experience was significantly predicted by three dimensions explaining 4.9% of total variance. The step-wise model showed that ideal self-image (β=0.15, p<0.001) entered the model first, followed by actual self- image (β=-0.115, p<0.01) and room comfort and cleanliness (β=0.11, p<0.05). For example, the more women travellers perceived their ideal self-image as being unsophisticated, traditional, conformist and disliking new experiences, the more satisfied they were. Accommodation Dimensions, Self-Image, Overall Satisfaction and Loyalty Loyalty was represented by intention to return, recommend and willingness to pay more. Intention to return was significantly predicted by two dimensions, overall satisfaction (β=0.176, p<0.001) and actual self-image (β=0.143, p<0.01), explaining 4.6% of total variance. Intention to recommend was significantly predicted by two dimensions, overall satisfaction (β=0.353, p<0.001) and actual self-image (β=0.095, p<0.05) explaining 12.6% of total variance. Willingness to Pay More was predicted by overall satisfaction (β=-0.158, p<0.001) and Room Amenities (β=-0.098, p<0.05), explaining 3.4% of total variance. Discussion and Implications The objective of this study was to identify relationships between preferences for accommodation attributes and self-image, satisfaction and loyalty. The results show that of the eight dimensions of accommodation attributes of importance to GGA customers, only Hotel Activities, Core Services, Safety Factor 2, and Room Amenities can significantly predict a women’s ideal self-image. Similar to the study of Dolich (1969), the results confirm that ideal self has more influence on consumer choices than actual self. In fact, in the hospitality sector, it seems that some hotel attributes are capable of explaining a women’s desired level of sophistication, modernity, non-conformity and new experiences. Accordingly, hoteliers should offer activities that females can do together (e.g., group spa treatments, culinary workshops, wine and chocolate tours). Yet, some safety and security items such as room emergency alarm, surveillance cameras, and deadbolt/electronic door locks are of importance to women even when they perceive their ideal self-image as being traditional and conformist. This is unsurprising given Asian women are more susceptible to travel risks, especially when travelling without male companions (Asbollah, Lade, & Michael, 2013). Likewise, if the ideal self-image of a woman corresponds more to traditional and conformist types of experiences as well as a dislike for new experiences, she is more likely to place high importance to standard offers of hotels such as free airport transfers, swimming pool, and hair stylist on site. The implication for hoteliers is that: (i) they should understand the self-orientation of their female customers, and (ii) female friendly offerings to attract the GGA market should not be treated as trade-offs against core services. Overall satisfaction with hotel experience is predicted by self-image, i.e. both actual and ideal. Interestingly, the more they perceived their actual self as being sophisticated, modern and non-conformist, the more they were satisfied. Despite this satisfaction, they are less likely to return and recommend the hotel to others. This is not surprising for tourism and hospitality products, given that previous studies have shown negative relationships between satisfaction and loyalty (Bowen & Chen, 2001). GGA being an emerging niche market (Khoo-Lattimore & Prayag, 2015), guests are more likely to try other competing hotel products and experiences rather than being loyal to a specific provider or set of experiences. However, overall satisfaction is positively related to ideal self-image, suggesting that the more they perceived their ideal self as being traditional and conformist, the more satisfied these women were with their hotel experience. A plausible explanation for this could be their associated expectations of amenities and service provided by a three-star hotel that were adequately fulfilled. However, these Asian women who would like to see themselves as conformist and traditional would follow conventional Asian values and social expectations and therefore would not express dissatisfaction. Moreover, in line with other studies (Nash et al., 2006), the findings confirm a positive relationship between overall satisfaction and room comfort and cleanliness. Also, in conformance to the literature (Bowen & Chen, 2001), a negative relationship was found between overall satisfaction and willingness to pay more. GGA women are not likely to pay more despite being satisfied possibly due to consideration for the financial capabilities of others within group travel dynamics. Likewise, the negative relationship between willingness to pay more and room amenities confirm that despite GGA women placing high importance on attributes such as extra-coat hangers, full body mirror and superior quality bath towels, they are willing to pay extra for such amenities possibly due to the women’s sense of entitlement. This sense of entitlement could be amplified by group travel. In conclusion, the study identified eight dimensions of the hotel offer that are of importance to GGA customers and how they predict significant relationships with self-image, satisfaction and loyalty. However, this study is not without limitations. First, the study does not investigate self-congruence which possibly would have identified stronger relationships between accommodation dimensions and self-image. Second, the findings pertain to Asian women only and it would worthwhile to compare the findings of this sample with those of Western women. 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