Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 Modeling the Relationship between Servicescape, Self-Image Congruity and Loyalty Intention of Customers toward Department Stores Zuraini Alias, Rosmimah Roslin and Siti Halijjah Shariff The number of customers shifting to online shopping is increasing, and gaining their loyalty is becoming increasingly difficult. Thus, to attract customers to shop at store-based outlets, retailers and policy makers need to understand how customers experience the store environment and how such experiences affect their self-image congruity. Reference to previous studies has shown little or no evidence of agreement on the relationship between servicescape and self-image congruity on loyalty intention. Although the importance of servicescape is noticeable, there is still a lack of strong empirical evidence which focuses on its function in consumption settings. The objective of this study is to examine the extent of servicescape’s influence on customers’ self-image congruity and to determine the extent to which self-image congruity influences loyalty intention. The scope of this study will cover selected department stores from five regions in Malaysia. Data will be gathered via questionnaires administered to customers. Based on previous theories (Mehrabian and Russell,1974, and Sirgy, 1985), approach–avoidance and self-congruity have a positive relationship with customer loyalty. Confirmatory factor analysis and structural equation modeling will be applied to identify the underlying dimensions of the constructs 1. Introduction The Malaysia Retail Report forecasts that total retail sales will grow from MYR168.72bn in 2011 to MYR284.02bn by 2015 (Business Monitor international, 2011).The Malaysian retail industry is indeed expanding and the number of shopping malls has increased in this country. As a result, competition among retailers has become more profound. Retailers are competing with each other in terms of pricing, promotions, products and services. Customers have become the main focus for retailers when strategizing their retail activities; indeed, customers are now a major priority for retailers (Ahmed, Ghingolg & Dahari, 2007). Customers are also becoming more sophisticated and are aggressively seeking value, more choices, and a consuming experience when they visit retail stores (Keng et al., 2007). Furthermore, the number of customers shifting to buy online is increasing, and it is becoming more difficult to gain their loyalty (McBreaty 2011; Baker et al., 2002). Baker et. al (2002) also found that brick-and–mortar retailers are facing growing competition from online e-retailers because they (the latter) are carrying similar products at the same (or lower) prices. ________________________________________________________ Zuraini Alias, Faculty of Business, Universiti Selangor, Malaysia. E-mail: zuraini1971@yahoo.com Prof.Dr.Rosmimah Roslin, Faculty of Business Management Universiti Teknologi, Malaysia. E-mail: rosmimahm@hotmail.com Assoc. Prof. Dr. Siti Halijjah Shariff, Faculty of Business Management Universiti Teknologi MARA, Malaysia. E-mail : sitihali@salam.edu.my 1 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 According to the Malaysian Communications and Multimedia Commission (as cited in Euromonitor International, 2012), this is clear as by the end of the first quarter of 2011, more than 57 percent of Malaysia household broadband had been diffused. The demand has increased to new heights for computers, laptops and smart phones and timely internet connectivity has become wider. As a result, the consumers can surf the Internet from anywhere, not only from their homes. This situation exposes the consumer to internet retail and offers them more selection of purchasing channels. Gull and Tariq (2011) indicate in their research that loyalty programs are not the only drivers of loyalty among customers. There may be other factors influencing loyalty intention. On a practical basis, retailers like Bizrate, Groupon, Nextag, and ShopLocal offer new business models for customers seeking special offers and discounts through loyalty programs. This is moving traditional retailers to seek innovative measures to develop competitive advantage when loyalty programs are commoditized. McBreaty (2011) suggests that there is a need to support the emotional connection to a brand through a differentiated experience and highlights the need for retailers to outline how to offer a rich in-store experience as customers shift to buy online. It is important that brands including retail brands enhance the experiences of their customers based on their specific lifestyle or usage needs. It is also important for retailers to be different and more competitive especially in this aggressive retail environment. Hence, retailers spend millions of dollars each year to design, build, and furnish their establishments. Aggressive competition has moved many retailers to employ the store environment as a source of differential advantage (Brüggen, Foubert , & Gremler, 2011). The differentiating factor that can be adopted by retailers is through the servicescape that is tailored to meet customers' needs, not only in terms of products, convenience and pricing but also in providing an enjoyable and, possibly, exciting shopping atmosphere (Baker, Levy, & Grewal,1992; Tai & Fung, 1997). In addition, according to an expert in retail studio design, traditional shopping experience is diminishing and therefore retailers need to make some improvements in in-store environment (face-to-face interview, 23rd July 2012, at Parkson, one of Malaysia‘s more established department stores). This is also supported by Bodhani (2012) who claims that new retail technology has emerged in retail brick and mortar retail that consumers cannot get from online shopping, indicating that some retailers and their technology partners have started using technology to personalize the customers shopping experience. Furthermore, customers like to shop at stores where the store‘s image matches their own self-image (Sirgy, Grewal, & Mangleburg, 2000). This is another aspect that has not been given much attention by researchers. Barnes (1998) has suggested image congruency as a variable to explore in the retail setting because he found that it (image congruency) is an affective variable in influencing close, pleasing customer relationships and is more important than situational and behavioral variables. Addressing the issue highlighted above requires more detailed understanding of how to attract customers to shop at store-based outlets and understand their self-image congruity. This understanding is then linked to the aspect of loyalty to the store. Loyalty 2 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 can impact customer retention and a firm‘s profitability (Crosby, Evans, & Cowles, 1990). Therefore, retailers need an understanding of current customers' store loyalty intention, and the determinants of such loyalty is an important basis for the identification of optimal actions (Sirohi, Mclaughlin & Wittink ,1998). Since it is becoming more difficult for retailers to take advantage of common marketing offerings such as products, prices, promotions, and retailing network (Ashley, 1997; Templin, 1997; McBreaty, 2011), it has been suggested that servicescape may have a strong influence on customers‘ loyalty intention (Foxall and Yani-de-Soriano, 2005) and through improving its in-store environment, a store can create an effective ambience to stimulate consumers‘ immediate purchasing intention (Hoffman and Turley, 2002). Servicescape also can reflect customers‘ self-image congruity (Breazeale & Ponder, 2011), and since customers like to shop at stores where the store‘s image matches their own self-image (Sirgy, Grewal, & Mangleburg, 2000), the contribution of servicecape can be very significant. Although the importance of servicescape is noticeable, there is still a lack of strong empirical evidence which focuses on its function in consumption settings (Wakefield and Blodgett, 1999; Tombs and McColl-Kennedy, 2003). For this reason, Hoffman and Turley (2002, p. 33) have raised the issue of the need for empirical development in the area and claim that ―to date few empirical researches have been conducted that investigate the impact of atmospherics as they relate to the customer‘s service experience‖. 2. Literature Review This segment focuses on the relevant literature in interaction to servicescape, selfimage congruity and loyalty intention, which leads to the conceptualization of these identified constructs and development of hypotheses as discussed below: 2.1 The importance of loyalty intention to retailers Söderlund and Öhman (2005) state that loyalty intention is significantly correlated with true repurchase behavior but only when ―intention-as-expectations‖ is present as opposed to when ―intention-as-wants‖ is engaged. In other words, loyalty intention refers to the possibility of repurchasing or revisiting a retail outlet with only expectation as the influencing factor. To stress further, Sirohi, Mclaughlin & Wittink (1998) assert that an understanding of current customers' store loyalty intention and their determinants is an important basis for the identification of optimal retailer actions. For example, the research by Reichheld and W.Earl Sasser (1990) reveals that 25 to100 percent profit increases by five percentage-point shift in customer retention. Meanwhile, Parthasarathy and Bhattacherjee (1998) discovered that it is important to keep existing customers because given the costs of searching for new customers, it may cost as much as five times more than retaining existing ones. 3 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 Reichheld (1996) reports that relative retention is usually associated with competitive advantage and it is better in clarifying profits than market share, scale, cost position, or any other variable. It has been proven in a recent study that strategies focusing on retaining current customers could improve the profits of the company. Though small increases in retention rates can significantly increase profits (Reichheld and Sasser, 1990; Fornell and Wernerfelt, 1987), keeping loyalty customers and focusing on one‘s customers may result in satisfaction and possibly create other benefits such as the cause of positive word-of-mouth (Urbany, Dickson, & Kalapurakal, 1996). In addition, Lin and Ding (2006) highlight that for boosting loyalty, identifying the loyalty antecedent and mediating variables is important in enhancing management strategies. As a result, management should design suitable strategies to cultivate customer loyalty due to its impact on customer retention and firm‘s profitability (Crosby, Evans, & Cowles, 1990). Pritchard, Havitz, and Howard (1999, p. 333) stated that ―understanding how or why a sense of loyalty develops in customers remains one of the crucial management issues of our day‖. 2.2 The importance of servicescape to a retailer in creating customers loyalty Intention. Kotler (1973) defined atmospherics as an effort to create a conducive shopping environment to produce arousing effects in the shopper that increase his/her buy intention. According to Bitner (1992), service environment or servicescape is associated with the appearance and style of the physical surroundings and other experiential elements experienced by customers at service delivery sites. Both the definitions can be said to be consistent with each other. Furthermore, by creating a unique physical environment, service providers are able to differentiate themselves from their competitors and create brand equity in the minds of the consumers. Bitner (1992) also stresses that servicescape influences consumer and employee behavior to either approach or to avoid a physical situation. Baker et al. (1994) discovered that store environment influenced customers in making conclusions about store merchandise and service quality and had significant impact on the overall store image. The impact of servicescape on quality perception (Reimer & Kuehn, 2005) shows that it (servicescape) played a greater role in most previous studies. Servicescape is not only a sign for the expected service quality but also impacts customers‘ evaluations of other factors determining perceived service quality. Thus, servicescape has both a direct and an indirect effect on perceived service quality, leading to a high overall effect. Thang & Tan (2003) revealed that servicescape is a more important variable to persuade consumer preference. It certifies that a positive relationship exists between the emotive response of consumers and the physical aspects of stores. A pleasing servicescape which offers comfort and gratifications that contribute to consumers‘ sense of well being in the stores enhances the quality of their visit and this increases consumer preference for the store. The appropriateness of product-image-store image is significant in predicting purchase intention (Naderi, 2011). 4 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 A well-blended product assortment and store environment can enhance both product quality and image. The service environment or the atmospheric changes will positively influence consumer emotions and also stimulate positive purchasing behavior and therefore lead to higher buying and spending. Shoppers who are having a pleasant experience will build a more lasting relationship with the store and seek to return. Sherman (1997) finds that the store environment plays a mediating role on consumer emotion and hence on customer purchasing behavior. Hoffman (2002) has mentioned servicescape in broad term comprising three parts: 1) Outdoor service, for example, outdoor plans, signage, parking, landscaping, and the surrounding environment 2) Indoor service, for example, example indoor plan, tools, signage, layout, air quality and temperature 3) Other tangibles like business cards, stationary, billing statements, reports, employee appearance, uniforms and brochures In addition, Baker, Grewal, & Parasuraman, (1994) and Harris and Ezeh, (2008) have determined that the servicescape dimension includes ambient conditions, design factors, staff behavior and staff image. The current research examines these indoor factors. A lot of studies (Baker et al., 1994; Sherman ,1997; Harris and Ezeh, 2008; Lin and Liang, 2011) have proven that these dimensions have a positive relationship with the behavior. Mehrabian and Russell‘s (1974) approach–avoidance framework has been used to explain the effect of the environment on consumer behavior. This theory is based on the Stimulus-Organism-Response (S-O-R) paradigm. This widely referenced S-O-R model proposes that servicescape stimuli affect emotional states of consumers and thus leads to approach-avoidance responses. This relationship is confirmed in extensive literature (Donovan and Rossiter,1982). As noted by Ezeh and Harris (2007), that customers do indeed respond to servicescape stimuli. Their behavioural responses can be classified as either approach or avoidance. Mehabrian and Russell (1974) suggest that consumers‘ individualized reactions to an environment result from one or a combination of the following responses—pleasure, arousal and dominance. The above theories guide the authors to the following hypothesis: H1: There is a relationship between servicescape and the loyalty intention of customers of department stores. 2.3 The importance of Self-Image Congruity to a retailer in creating customers loyalty intention. According to Sirgy (1982), consumer attitudes can be executed by the retailer‘s personality and the apparatus called self-image congruence (SIC). The SIC process works on the principle that the cognitive and affective judgment on a brand (store) is affected by the the qualities of the consumer's own self-image (Sirgy, 1982). According 5 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 to the image congruence theory by Sirgy (1985), when the personality characteristic of a consumer‘s self-image matches with the brand image, the consumers have a tendency to form a positive approach to the brand when making purchasing decisions or repurchasing a product. Barnes (1998) has suggested image congruency as a variable to be explored in the retail setting because he found that image congruency is an affective variable in nurturing close, pleasing customer relationships, and more influential than situational and behavioral variables. In addition, it also provides perceived value to customers when the store‘s image has compatibility with the customer‘s image. Thus retailers need to consider synergising it with core service, service delivery and servicescape in order to make the most of customer preferred stores (O'Cass & Grace, 2008). Chebat, Sirgy, & St-James (2006) claim that every shopping mall will reflect customers' stereotypic images. For example, chic customers may be perceived to shop at one mall while another mall may be perceived as being frequented by average customers. As a result, the stereotypic image of customers will contribute to the store or mall being referred to according to the image of its customers. Customers like to shop at stores where the store‘s image matches their own self-image (Sirgy, Grewal, & Mangleburg, 2000). Consistent with this self-image congruity process, the theory also includes the idea that a main brand (store) should have cognitive and affective judgment qualities that reflect the consumer's own self-image (Sirgy, 1982). According to Orth, et al.,( 2012) managers will be able to build personality impressions more precisely when they refer to the taxonomy of generic design factors and holistic types and the variation in evaluative responses that they have created. Levy (1959) mentioned that consumers made purchases to show not only their capability, but also to indicate what they mean. He added that the image of the person and what he /she wants to be must be consistent in order to improve his/her sense of self. Therefore, based on the earlier study, the following hypotheses are proposed: H2: There is a relationship between servicescape and self-image congruency of customers of department stores. H3: There is a relationship between self-image congruity and loyalty intention of customers of department stores. Referring to the above research context, we strongly believe that the proposed hypothesized model is novel as it attempts to explain the effect of servicescape and in turn, its subsequent effect on self-image congruity and loyalty intention. 6 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 Figure 1 : The Hypothesized Model H2 Servicescap e SelfImage Congruity H1 H3 Loyalty Intention 3. Research Methodology This section describes the methods to be used to achieve the research objectives and test the research hypotheses that were put forth earlier. This study adopts the descriptive method as the main mode of data collection. For the purpose of this study, stratified sampling methods will be chosen where the states in Malaysia will be divided into five zones or regions, namely, the Northern Region, Central Region, Eastern Region, Southern Region and the region of Borneo (comprising of Sabah, Sarawak and Labuan). The samples of respondents are customers of department store and will be selected based on the regions or the zones representing Malaysia as a whole (Cedric Hsi-Jui Wu & Liang, 2009). The department stores will be selected based on the store popularity where there must be more than five outlets operated by the chain in Malaysia, the location of the malls and the condition that the department stores must be anchor tenants in the malls. The target population is adult consumers (over 18 years of age) who have been shopping at the selected department stores in Malaysia. This field of study will be chosen because the researchers want to get the information directly from customers about their opinion, observations, and experiences with the retail stores that will be the center of the study and in the real shopping mall (Wakefield & Baker, 1998; Dawson, Bloch, & Ridgway, 1990). The researcher will undertake a mall intercept method of encountering respondents at the cash register and ask consumers to complete the questionnaire after they make a purchase. The reason for stationing the researchers near the cash register is because we believe that the customers who have made the purchases have already enjoyed or experienced the department store‘s environment and therefore are in a better position to answer the questionnaire. The sample size is 384. The questionnaire will be selfadministered with clipboards and pencils provided by the interviewer. The method allows collection of anonymous data from a large number of respondents at a low cost (Strand and Weiss, 2005). The respondents will randomly chosen by using quota sampling according to race, that is, Malays, Chinese, Indians and others (the combination of other small races). 23 respondents will represent each race in each department store. 7 Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1 All the data will be analyzed using Structural Equation Modeling (SEM) so that: a) the causal process under study is represented by a series of structural (i.e., regression) equations, and b) these structural relations can be modeled pictorially to enable a clearer conceptualization of the theory under study. The hypothesized model can then be tested statistically in a simultaneous analysis of the entire system of variables to determine the extent to which it is consistent with the data. 5. 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