ࡱ> [ qbjbj Wΐΐ8M7j_uuu7777777_9<7@,"@,@,7uu^7D5D5D5@,uu7D5@,7D5D5D5uHߢ*1D57707D5<3<D5<D5@* D5#&}7747@,@,@,@,< : Marketing Segmentation of Culinary Tourists Tanya MacLaurin University of Guelph School of Hospitality & Tourism Management Macdonald Stewart Hall University of Guelph Guelph, ON N1G 2W1 Phone: (519) 824-4120 ext. 56309 Fax: (519) 823-5512 E-mail: tmaclaur@uoguelph.ca Julia Blose, Ph.D College of Charleston 5 Liberty Street Charleston, SC 29401 Phone: (843) 953-7659 Fax: (843) 953-5697 E-mail:  HYPERLINK "mailto:blosej@cofc.edu" blosej@cofc.edu Rhonda Mack, Ph.D College of Charleston 5 Liberty Street Charleston, SC 29401 Phone: (843) 953-6565 Fax: (843) 953-5697 E-mail:  HYPERLINK "mailto:mackr@cofc.edu" mackr@cofc.edu ABSTRACT The tourism industry has witnessed a dynamic evolution with increasing focus on the use of technology, relationship formation, and ever-expanding fields of tourism. While the excitement surrounding the eco-tourism movement of the previous twenty years continues, a new focus on culinary tourism has arrived. Since one-third of travel dollars go to food, strategic decision makers wanting to capitalize on the growth in culinary tourism must identify and better understand culinary tourists to achieve more profitable segmentation. While some studies have addressed segmentation within the culinary tourism market, researchers have made little headway into understanding differences across the various sub-segments. For instance does the agri-tourist behave differently from the festival tourist and are they different from the restaurant tourist? Do they manifest similar culinary behaviors? Early efforts have been targeted broadly and the question regarding the possible existence of a culinary generalist has not been closely addressed. This study examines culinary tourists from the perspective of whether there is a culinary generalist and attempts to clarify differences across any existing sub-segments. The study sample includes 550 individuals in a U. S. tourist city. The existence of a culinary generalist identified in the study has major implications to the tourism industry. Also, the identification of the culinary innovator is interesting as is the identification of a large percentage of respondents in this study comprising a potentially sizeable segment of very engaged culinary consumers. Given their innovative behavior, these are likely to be heavy users in the market. The studys results present evidence of a significant segment which is quite enthusiastic across a wide variety of culinary tourism activities. This speaks to potential economies of scale in successfully communicating with and attracting culinary tourists. INTRODUCTION The tourism industry has witnessed an extremely dynamic evolution in recent years seeing an increasing focus on the use of technology, relationship formation, and ever-growing fields of tourism. While the excitement surrounding the eco-tourism movement of the previous twenty years continues, an exciting new focus on culinary tourism has arrived. Culinary tourism is a relatively newly defined niche tourism market segment that intersects and impacts both the travel and food/beverage industries (Wolf, 2002). The term culinary tourism was first used by Dr. Lucy Long in 1998 to express the idea of experiencing other cultures through food (Wolf, 2002). Dr. Long states that culinary tourism is about food; exploring and discovering culture and history through food and food related activities in the creation of memorable experiences (Long, 2005). The International Culinary Tourism Association in an effort to designate an encompassing classification and frame what culinary tourism in-fact entails, has adopted a definition stating, Culinary tourism refers to the search for prepared food or drink while in a travel context. Within this defining field, culinary tourism is a subset of cultural tourism denoting that cuisine is an expression of local culture. Culinary tourism can include agri-tourism activities and may stem from an urban or rural experience (International Culinary Tourism Association, 2006). Examples presented by the ICTA included: restaurants, wineries, breweries and road-side stand (Van Dongen, 2004b). Culinary tourism describes a form of tourism that has food as the focal point of travel. Food is a manifestation of a destinations culture and provides endless opportunities for the tourism industry to provide authentic experiences (Hotel Industry News, 2005). Limited research has been conducted on various aspects of culinary tourism. Research has looked at food as a tourism attraction and component of the tourism experience (Cohen and Avieli, 2004; Hjalager and Richards, 2002; Hjalager and Corigliano, 2000; Quan and Wang, 2003); culinary tourists profile (Wade and Martin, 2005; Hall, 2003; Au and Law, 2002); categorical classification of culinary tourists (Kivela and Crotts, 2005; Ignatov, 2003; Au and Law, 2002; Lang-Research, 2001); culinary experiences as powerful marketing tools for destinations (Kivela and Crotts, 2006), and economic impact (Deneault, 2002; Canadian Tourism Commission (n.d.). Adequately understanding culinary tourists and their behaviors enables the identification of market segments. Market segmentation assists in determining culinary tourists buying behaviors, determines their appropriateness for targeting, and provides insight into planning a marketing strategy reflecting their needs, wants and preferences. The recognition that consumers differ in their behavior is basic to traditional marketing strategy development. To date some studies have focused on culinary tourists segmentation but limited research has been designed and conducted on the concept of a culinary tourist generalist, an individual that is interested in an array of culinary tourism activities versus those that are segmented by special interests (Kivela and Crotts, 2005; Ignatov, 2003; Au and Law 2002, Lang-Research, 2001). Johnson studied wine tourists looking at the concept of a specialist versus generalist (Johnson, 1998). Results indicate that the two segments are different. The potential of niche or special interest tourism such as culinary tourism as a trip generator has been questioned by some researchers (McKercher and Chan 2005). What is known is that food is an experiential tourist component of any tourist experience, there are tourists that will seek out food related activities at a destination instead of going to other attractions and that some tourists travel just for food. This paper attempts to fill this research gap. The purpose of this exploratory research is to examine the concept of a culinary tourist generalist by analyzing self classified culinary tourists responses to a set of culinary tourism activities and to determine the impact of innovativeness on their responses. The results of the study will contribute to our understanding of culinary tourist segmentation to assist tourism product developers and marketers to enhance their marketing and product development. If a culinary tourist generalist does exist . . . . BACKGROUND Culinary Tourist Profile Previous research studies have profiled the culinary tourist as older, approximately ten years older than the generic tourist, more highly educated and more affluent with annual average incomes of $125,000 and spend approximately twice as much as a generic tourists during their visit (Wade and Martin, 2005), while other researchers found that young couples were also interested in culinary tourism (Lang-Research, 2001). Additional research segmenting culinary tourists reveled significant differences among visitors interested in food-based tourism, wine-based tourism, and food and wine-based tourism, with the three segments differing in demographic characteristics, travel activities and spending during travel. Visitors interested in both food and wine tended to have the highest socio-economic profiles, engaged in more activities than the other two sectors, traveled for different reasons and were most likely to stay at spas, hotels, inns and resorts (Ignatov, 2003). Segmentation Market segmentation is one of the major marketing concepts with its purpose of achieving more effective and efficient segmentation. The increasing cost of doing business today makes effective segmentation even more important. Organizations must be able to identify segments, derive information regarding their buyer behavior, determine their appropriateness for targeting, and properly plan a marketing strategy reflecting their needs, wants and preferences. The recognition that consumers differ in buyer behavior is basic to traditional marketing strategy development. Whether an organization is offering automobiles, IPods, a hotel stay, or a gourmet meal, marketing segmentation just makes sense. Since the early 1990s, market segmentation has evolved to consider the ultimate segment of the individual via mass customization and the importance of customer relationship management (CRM) has come to play a large role in the business strategy of many organizations. Companies that recognize the importance of the customer relationship are often able to increase customer value and ultimately the success of the enterprise (Rogers, 2005). Yankelovich and Meer in the Harvard Business Review discussed the evolution of segmentation stating that segmentation initiatives are often disappointing for three reasons: excessive interest in consumers identities (distracting from the product features); insufficient emphasis on consumer behavior; and absorption in technical segmentation details (Yankelovich, 2006). Even if organizations may find their segmentation strategies falling short of ideal, however, the belief in the importance of segmentation is strong and the development of marketing strategies not reflecting segmentation considerations would, at best, be quite risky. Segmentation in Tourism Marketing Middleton lists seven main ways to segment markets which are used in the travel and tourism industry: purpose of travel; buyer needs, motivations, and benefits sought; buyer behaviour/characteristics of product usage; demographic, economic, and geographic profile; psychographic profile; geodemographic profile; and price (Middleton and Clarke, 2001). He also continues to stress that most organizations target more than one segment. Categories/Segments Kivela and Crotts examined the presence of a gastronomy-tourism market segment in Hong Kong in 2005 (Kivela and Crotts, 2005). Their results provided evidence that motivation to travel for gastronomy reasons is a valid construct for use for market segmentation purposes. Ignatov identified segments of culinary tourists from the Travel Activities and Motivations Survey (TAMS) dataset (Ignatov, 2003). The segments were compared in terms of demographics, psychographics, vacation and getaway trip characteristics and media consumption habits. Three segments of culinary tourists were formed. The results showed Canadian culinary tourists exhibit characteristics and behaviours that clearly distinguish them from other tourists. Segments identified from the research were food, wine, food and wine; and rural, sophisticated, indifferent and true cuisine. Hjalager used Cohens 1984 phenomenological categorization of tourist lifestyles to develop a model of culinary tourism experiences (Hjalager and Richards, 2002). Four categories recreational, existential, diversionary, and experimental were created to categorize gastronomy tourists (Kivela and Crotts, 2006). Cohen and Avieli attempted to integrate culinary sociology into culinary tourism acknowledging segments such as the experiential tourist and the recreational tourist stressing that these tourists will approach food differently at destinations (Cohen and Avieli, 2004). Market Strategy Culinary tourism has increasingly gained attention over the last decade, and researchers have made some headway into actually understanding the differences across the various sub-segments of culinary tourism Ignatov, 2003; Lang-Research, 2001; Travel activities and motivational survey: Wine and cuisine profile report, 2004). Does the agri-tourist behave differently from the festival tourist and are they different from the restaurant tourist? Do they all manifest similar culinary behaviors? Most early efforts have been targeted broadly and the question regarding the possible existence of a culinary generalist has not been closely addressed. Innovation Strategic decision makers wanting to catch onto the growth in culinary tourism need to be able to identify and better understand culinary tourists in order to more effectively target those segments who make sense for the bottom line. The importance of the travel innovator has previously been examined with findings indicating they play a vital role in a destinations early acceptance leading to mainstream acceptance (Goldsmith and Litvin, 1998). Innovators in a market are those that are most likely to adopt a new product when it first becomes available. These consumers are described as venturesomeeager to try new ideas and products, almost as an obsession (Lamb, Hair and McDaniel, 2006). The extent to which an individual is innovative is thought to vary from one product category to the next. RESEARCH METHOD The two-page self-administered questionnaire was distributed in tourist areas throughout the city of Charleston, South Carolina on different days of the week over a several week period in the fall of 2005. Research assistants were instructed to approach individuals randomly who appeared to have the time and willingness to assist with the research. Potential respondents were pre-qualified by asking the following four questions. Do you watch the Food Network? Do you read food and travel magazines? Would your friends call you a foodie? Do you seek out new restaurants. The screening questions were utilized to obtain individuals that were interested in food and report engaging in food related behaviors. Only those individuals who answered yes to two or more of these questions were asked to complete a questionnaire. A total of 554 surveys were collected. Survey Questions A three-section questionnaire was developed for the research. The items were derived from previous research and pilot tested before use. Respondents were first asked to indicate whether they considered themselves a culinary tourist or not. Next, participants read a battery of items related to their participation in culinary activities and were asked to indicate the extent to which they agreed with each statement. Appendix A lists these items. The first two sections relate to general culinary and vacation behaviors and the remaining three relate specifically to restaurant, festival, and agriculturally oriented culinary activities. Within each of these three latter categories innovativeness was measured using the Goldsmith and Hofacker Domain Specific Innovativeness Scale (DSI) (Goldsmith and Hofacker, 1991). as previously modified in a tourism context by Litvin, Goh and Goldsmith (Litvin, Goh, and Goldsmith, 2001). This scale reveals a respondents tendency to purchase a product soon after it appears on the market. The three sets of DSI items (restaurant innovativeness, festival innovativeness and agricultural innovativeness) are marked with an asterisk. All measures in this portion of the survey utilized a five-point Likert Scale with strongly disagree and strongly agree as endpoints. The final section of the survey assessed participant demographics. DATA ANALYSIS In order to develop a profile of the culinary tourist and to determine if significantly different segments of culinary tourists exist, cluster analysis was performed. Given the fact that culinary tourism encompasses such a wide range of food-related activities, it was suspected several groups with distinctive attitudes and interests might emerge. The variables chosen for the basis for the clusters are items 15 through 30 from the survey as listed in Appendix A, those that capture restaurant-oriented, festival-oriented and agriculturally-oriented culinary behavior. Since clustering techniques are sensitive to extreme data points, any observations with values outside plus or minus three standard deviations of the mean for any of these clustering variables were deleted from the sample. This resulted in a reduced sample size of 517. Also, since a number of these clustering variables were somewhat too highly correlated with one another, the variables were factor analyzed using principal components analysis with Varimax rotation and then the uncorrelated factor scores for each observation were used as the basis for clustering. Factors with eigenvalues greater than 1 were included in the analysis. A two-stage clustering approach was utilized. A hierarchical cluster analysis (between linkage with squared Euclidian distance) was conducted first on a randomly selected subsample of the data to obtain some idea of what the appropriate number of clusters would be for this dataset. Upon examination of the resulting dendogram and the agglomeration schedule, it appeared a three-cluster solution would be the most appropriate. Therefore, next, a K-means cluster analysis was generated with a three cluster solution. Cluster 1 includes 161 observations, Cluster 2 includes 134 observations and Cluster 3 includes 222 observations. RESULTS AND DISCUSSION Participants ages ranged from 18 to 87 with an average age of 45 (SD = 14.12). The sample was pretty evenly split between men (44%) and women (56%). The majority were married (63%) and a little over half (54%) had incomes of $75,000 or more. In order to test whether significant differences existed between the three groups of culinary tourists, a multivariate analysis of variance (MANOVA) was conducted using the clusters as the independent variable and items 1 to 14, the general food-related and vacation activity items as displayed in Appendix A, as the dependent variables. The results of this analysis are displayed in Table 1. Table 1 MANCOVA Results and Post-Hoc ComparisonsMANCOVA ResultsPost-Hoc DifferencesCluster 1Cluster 2Cluster 3FP1 vs. 21 vs. 32 vs. 3Cooking Classes2.933.313.5816.250.00**TV2.993.373.9534.200.00***New Food3.243.764.2734.460.00***Magazines2.863.003.7326.250.00**Specialty Food Stores2.913.103.7732.050.00**Arts3.703.994.149.730.00**Travel Programs/Mags3.123.624.0033.630.00***Wineries3.413.644.0011.850.00**Culture3.954.374.4823.340.00**Food Experiences4.014.384.5629.830.00***Information on Food3.343.474.1636.990.00**Purchase Food2.993.333.8129.490.00***Food Tours2.512.663.4545.100.00**Dining Experience4.094.244.4912.690.00** As one can see from the Tukey post-hoc comparisons, Cluster 3 members agreed with each item significantly more strongly than Cluster 1 members for all of the variables under consideration. In much the same way, Cluster 3 members agreed significantly more strongly with all but three of the items when compared to Cluster 2 members. More specifically, upon examination of the average responses for each of the three groups, one can see that Cluster 3 members tended to agree more strongly with each statement than did Cluster 2 members who, in turn, tended to agree more strongly with each of the statements than did Cluster 1 members. Thus, while these differences may confirm that some separate, market segments exist among culinary tourists, the results really provide no evidence of important, distinguishing characteristics between the segments. On the other hand, the results do seem to suggest there exists a segment of the culinary tourism market (Cluster 3 members) in which individuals are particularly enthusiastic about culinary tourism activities and this enthusiasm applies to culinary activities across the board. Before drawing any final conclusions though, to explore the nature of the culinary tourist further, the data was segmented into two groups based on participants responses to the first question of the survey, whether they considered themselves to be a culinary tourist or not. T-tests for each of the items listed in Appendix A were conducted to determine if there were any significant differences in the responses of the self-perceived culinary tourists in the sample and those individuals who were surveyed that did not consider themselves to be culinary tourists. Across the board, the results of these tests showed self-perceived culinary tourists agreed more strongly with each item when compared to the self-perceived non-culinary tourists. Since responses were clearly different between these two groups and there is a possibility inclusion of the self-perceived non-culinary tourists affected the original clustering process (where the basic intent was to profile culinary tourists), self-perceived non-culinary tourists were dropped from the dataset and a second cluster analysis was run using the same procedure described before. The sample size for this second analysis was 308. The participants in this subset of the sample had demographic profiles very similar to that of the entire sample with the exception that slightly more of these individuals were married (68%) and a slightly larger percentage had incomes of $75,000 or more (57%). Again, three clusters were generated with Cluster 1 including 140 observations, Cluster 2 including 98 observations and Cluster 3 including 70 observations. Table 2 displays the MANOVA results and the Tukey post-hoc comparisons for this second analysis. Table 2 MANCOVA Results and Post-Hoc ComparisonsMANCOVA ResultsPost-Hoc DifferencesCluster 1Cluster 2Cluster 3FP1 vs. 21 vs. 32 vs. 3Cooking Classes3.343.773.594.480.120*TV3.643.963.593.650.027New Food4.034.404.146.010.003*Magazines3.343.953.578.060.000*Specialty Food Stores3.363.913.647.760.001*Arts3.784.274.239.950.000**Travel Programs/Mags3.453.993.818.310.000**Wineries3.734.064.062.620.074Culture4.194.624.6414.500.000**Food Experiences4.324.734.6115.230.000**Information on Food3.774.323.8711.680.000**Purchase Food3.403.943.668.250.000*Food Tours2.823.543.1413.630.000**Dining Experience4.164.634.7120.850.000** As the table suggests, with a few exceptions, very little about the results changed when self-perceived non-culinary tourists were not included in the analysis. Again, in this second analysis, a single group (this time Cluster 2) agreed with each item significantly more strongly than Cluster 1 members with the exception of two items in which no groups differed in their average responses and Cluster 3 averages tended to fall between the responses of Clusters 2 and 1. This time, however, there were fewer significant differences between Cluster 3 and the other two groups. What do these results suggest? The authors interpret this as an indication that at the very least two market segments exist and the distinguishing characteristic is one groups enthusiasm for all culinary tourism activities. In other words, a culinary generalist exists in the culinary tourism market that is enthusiastic about a wide variety of culinary activities and there is much opportunity to appeal to these individuals on a broad level. To further validate these findings, the extent to which the culinary generalists in the dataset tended to represent the innovators in the restaurant, festival and agricultural tourism markets was examined. Goldsmith and Hofackers Domain-Specific Innovativeness Scale (DSI) is designed to measure the extent to which individuals are innovative with respect to a particular product category (Goldsmith and Hofacker, 1991). Using this scale, three innovativeness scores were calculated for each of the individuals included in the study, one for restaurant innovativeness, one for festival innovativeness and one for agricultural innovativeness. To generate the innovativeness scores, participants responses to each of the six DSI items were summed. Since the possible responses to the DSI items are five-point Likert scales the minimum possible innovativeness score was a 6 and the maximum a 30. Since, innovators typically represent a minority of the market (Foxall and Goldsmith, 1994), those individuals whose scores fell into roughly the top ten percent of possible innovativeness scores were labeled as innovators (top 9% of restaurant innovativeness scores; top 8% of festival innovativeness scores; top 9% of agricultural innovativeness scores). We next examined cross-tabulations of the three culinary tourist clusters by whether an individual had been designated an innovator. For all three types of innovativeness (restaurant, festival and agricultural), the culinary generalists (Cluster 2 members from the second cluster analysis) tended to be the innovators in the market. The culinary generalists were not only interested in trying new restaurants, but they tended also to be the consumers most interested in trying new festival and new agriculturally-oriented culinary activities. This again provides evidence supporting the idea that these individuals are enthusiastic about all aspects of culinary tourism. CONCLUSION The results of this study are important for several reasons. While culinary tourism has increasingly gained attention over the last decade, researchers have made limited headway into actually understanding the differences across the various sub-segments of culinary tourism. Most early efforts have been targeted broadly and the question regarding the possible existence of a culinary generalist has not been closely addressed. First, the existence of a culinary generalist has major implications to the tourism industry. The advantages of cross-selling in marketing can be quite extensive and many tourism events/destinations afford ample opportunities for cross sell efforts whether it is a regional restaurant offering its packaged sauces or chef-led cooking classes, a u-pick blueberry farm offering pies, or a plantation offering interpretive tours, classes in sweet-grass basket weaving, or an on-site restaurant which offers lunches reminiscent of regional foods during the plantations height of success. Cross-selling also enables the various components of the tourism industry (hotel, restaurant, transportation, events, etc.) to work as a team in successfully packaging offerings to reach a customer who has a high probability of a positive response. Another important implication of this study especially to the field of marketing, is the apparent generalizability of the culinary innovator. While innovation is typically domain specific (reference), the culinary generalists in this study tended to be innovators across new trial for restaurant, festival and agriculturally-oriented culinary activities. Third and probably most important is the identification of a large percentage of respondents in this study comprising a potentially sizeable segment of very engaged culinary consumers. Given their innovative behavior, these are likely to be the consumers who are heavy users in the market. The identification of a heavy user in any industry is noteworthy bringing the 80/20 rule to mind. In this study, however, it is not a small percentage accounting for a large amount of activity. This studys results present evidence of a significant segment which is quite enthusiastic across a wide variety of culinary tourism activities. These factors all speak to potential economies of scale in successfully communicating with and attracting culinary tourists. The fact that innovators in general are more active seekers of information, accompanied by the results of this study identifying a culinary generalists, greatly enhances the ability of the tourism organization to place marketing information more efficiently and effectively. While the focus of this study was on examining differences across the various sub-segments of culinary tourists, no meaningful differences across demographic profiles surfaced. Future directions for research need to address other aspects such as motivation, values, additional behavioral issues which might provide rich bases for segmentation. Appendix A Food and Food-Related Activity Items A. FOOD RELATED ACTIVITIES: 1. I enjoy attending cooking classes. 2. I frequently watch food TV programs e.g. Food Network. 3. I will go out of my way to experience a new food. 4. I read food-oriented magazines (e.g. Bon Appetit, Gourmet, Southern Living, Martha Stewart etc.). 5. I frequently shop at specialty food-oriented stores. 6. I enjoy visiting museums, art galleries and theaters. 7. I often watch travel programs/read travel magazines. 8. I enjoy visiting wineries and/or attending wine tastings. B. VACATIONS: 9. Experiencing a destinations culture is important to me. 10. I believe that food and food related experiences are an important part of the culture of a destination. 11. I obtain information about restaurants, food and food related activities before I arrive at a destination. 12. While on vacation, I often purchase food products to take home. 13. I often take food related tours while on vacation. 14. My dining experiences are important to my overall vacation satisfaction. C. RESTAURANTS: 15. If I have heard of a new restaurant I would be interested to try it.* 16. I will consider going to a new restaurant even if I have not heard of it before. * 17. I know about new restaurants before most people do.* 18. I purposefully dine at restaurants offering local/regional foods. D. FOOD FESTIVALS and EVENTS: 19. If I have heard of a new food-oriented festival and event, I would be interested to attend it.* 20. I will consider going to a new food-oriented festival or event even if I have not heard of it before.* 21. I know about new food-oriented festivals or events before most people do.* 22. I often attend food-oriented festivals and events. E. AGRICULTURALLY ORIENTED FOOD EVENTS: 23. If I have heard of a new agriculturally oriented food event I would be interested to attend it.* 24. I will consider going to a new agriculturally oriented food event even if I have not heard of it before.* 25. I know about new agriculturally oriented food events before most people do.* 26. I often go to you-pick or pick-yourown locations. 27. I frequently go to farmers markets. 28. I often purchase locally grown produce/food. 29. I often purchase organic produce/food. 30. 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