Proceeding of Spring/Autumn Annual Conference of KHA
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2011.04a
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pp.267-272
/
2011
The purpose of this study was finding selecting attributes of serviced residence and suggesting right direction of serviced residences. Research methods weresocial survey research with questionnaire and field survey. Field survey was conducted from September 20, 2010 to November 9, 2010 on 6 serviced residences. 106questionnaire survey data collected near by CBD. SPSS 18.0 program was used for Statistical analysis. Majorfinding were following; analysis methods were Frequency, $x^2$-test and ANOVA. Selecting attributes were divided into general attributes, facilities, services and individual units. First, pleasant atmosphere was the most important item amonggeneral attributes. Second, buffet restaurant was the most important items among facilities. Third, mail delivery service was the most important item among services. Fourth comfort was the most important item among individual units. In conclusion, serviced residences need more elaborate management, improvement of lobby lounge, provision of optional services and comfortable environment of individual units.
The purpose of this study is to measure the effect of customers' waiting time on their revisit intention through their emotion. Also this study assessed the effect of restaurant selection attributes on consumers' revisit intention in Korea. This study used experimental scenario questionnaires for collecting data. Frequency analysis, Cronbach's alpha, correlation, t-tests and multiple regression analysis were assessed using SPSS. Customers preferred taste, sanitation and service when selecting a restaurant to dine out. The results of this study found that there were no significant differences between positive and negative emotions due to waiting time. Findings of this study suggested that waiting time, convenience, nutritional value, and emotion influenced consumers' revisit intention. Therefore, reducing waiting time and providing proper service will help consumers have positive emotions to return to dine at a restaurant.
The purpose of this study was to analyze the key factors considered important by customers in the selection of a Korean restaurant through the use of conjoint analysis techniques. A total of 400 questionnaires were distributed over a 2-week period in October 2011, of which 354 were completed (88.5%). Statistical analysis was then carried out using the Windows 18.0 Statistics package. The research was based on the analysis of two target areas - daily meals and special purpose meals. Responses were measured by using Zaichkowsky's Personal Involvement Inventory (PII) and a 7-point Likert Scale. Overall it was found that in all areas of the results regarding the involvement related analyses, daily meals scored lower than special purpose meals. This implied that the choice of daily meals is more applicable to customers with a low level of involvement, whereas high-involvement customers were more likely to focus on special purpose meals. The analysis of high-involvement customers revealed that the quality of food, price, service quality and physical environment, in order of priority, were the most important factors in selecting a restaurant. The use of the optimum attribute combination revealed the following results: delicious food (0.601); friendly staff (0.170); clean restaurant (0.191); price of 20,000 won (-0.513). Furthermore, low-involvement customers considered the following factors as important when selecting a Korean restaurant: quality of food, followed by price, physical environment and service quality in that order. In this instance, the optimum attribute combination showed the following outcomes: tasty food (0.645); friendly staff (0.418); clean restaurant (0.365); price of 5,000 won (-0.847). These results indicated the importance of developing a marketing plan which was based specifically on a customer's involvement level, focusing on their main selection criteria when choosing a Korean restaurant.
Kim, Bo-Min;Kim, Hyung-Min;Kim, Young-Hee;Yoon, Ji-Young
Journal of the East Asian Society of Dietary Life
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v.24
no.1
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pp.12-19
/
2014
The purpose of this research was to study the affects of atmosphere and convenience attributes on restaurant selection of customers aged between 50 to 60, referred to as new seniors. A survey was conducted with questions including convenience and atmosphere attributes (5 factors, 24 questions), respondents' dining-out behavior (6 questions), and general characteristics. For the analysis, SPSS 20.0 was used for the frequency analysis, factor analysis and ANOVA. The findings of this research are as follows : First, new seniors considered cleanliness (4.23) as the most important factor when choosing a restaurant. Convenient facility (3.89), ease of use (3.68), atmosphere (3.33) and children amenities (3.18) followed. Second, the importance of factors were compared according to the general characteristics. Based on gender, cleanliness and convenient facility showed a significant difference (p<0.05). Depending on whether they help raise their grandchildren and household type, the difference of ease of use and children amenities showed significance (p<0.05). Third, the importance of factors were compared based on their dining-out behavior. According to the average visits made to restaurants and the average payment per person, the difference of cleanliness and ease of use factors showed a significant difference (p<0.05). In addition, there were significant differences (p<0.05) on convenient facility and atmosphere factor depending on the average payment per person. The results of this research hopes to provide useful information to marketers targeting new seniors.
Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.
The purpose of this study was to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on pizza restaurant choice, and to predict probability of selecting a particular pizza restaurant The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurant based on the seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 students of university as respondents. Twenty students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequency, correlation, phreg procedure of SAS package. The results were as followed Based on the estimated model, the -2LL(B) statistic for a model with all explanatory variables was 5585.761 and the Chi-square statistic is 134.786 with 7 df (p<0.001). At p<0.001, we would reject the null hypothesis that the attributes do not influence choice. The parameter estimate for price was highest, followed by late delivery time, promised delivery time, money-back guarantee, discount, pizza variety, and pizza temperature. The result from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.
Purpose - This research examined the effect of hedonic and utilitarian eating-out motivations on the evaluation of restaurant selection attributes in a fashion premium outlet. Additionally, the influence of experimental and functional attributes on customers' preference for hedonic eating-out motives and utilitarian eating-out motives, and variation of moderating effects through the gender was examined. Research design, data, and methodology - A survey was conducted to verify the established research hypothesis. The questionnaire items for the research were modified to fit the situation of the present study. In order to elaborate the questionnaire, the literature of the previous researchers was reviewed and supplemented. The survey conducted 207 online questionnaires for consumers who have visited domestic fashion premium outlets from July 4, 2017 to July 27, 2017. A total of 207 questionnaires were collected, and a total of 206 questionnaires were used for the empirical analysis after excluding one inappropriate response. In order to verify the reliability and validity of the measured variables, exploratory factor analysis and reliability analysis were performed using SPSS 20.0. Next, the structural equation model (SEM) statistical method was used to test the hypotheses of the study. Results - Hedonic motivation had more influence on experimental attribute importance than the functional attribute importance of the restaurant. However, this result was different depending on the gender. The effects of hedonic motives on empirical attributes were more influenced by female groups, and when influencing functional attributes, male groups were more influenced. However, it was statistically significant (p <0.05) in the female group only when the hedonic eating out motives influenced empirical attributes. Conclusions - This study analyzed the effect of eating-out motivation on the restaurant preference attributes and suggested practical implications. First, customers with hedonic eating-out motivations were evaluating experiential attributes to be more important than functional attributes. Second, for customers who are motivated to use practical eating-out habits, companies should provide services that meet practical and economic needs. In particular, female customers visiting restaurants need differentiated marketing strategies that make them feel new experiences rather than practical ones. In addition, it is necessary to study more complex and integrated studies which will influence restaurant selection attributes of premium outlets customers by adding various eating out motives and selection attributes.
The purpose of this study was to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on pizza restaurant choice, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurant based on the seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 students of university as respondents. Twenty students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, $X^2$, independent samples t-test, phreg procedure of SAS package. The results are as follows. Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by gender. Based on the estimated models developed for male student group and female student group, the Chi-square statistics were significant at p<0.001. The parameter estimate for late delivery time with male student group was highest, and the parameter estimate for price with female student group was highest. The pizza restaurant that charged \20,000, offered 100% discount on eleventh pizza, promised to deliver pizza in 40 mins, usually delivered the pizza as promised time, offered only 1 type of pizza crust, delivered warm pizza, offered the money-back guarantee was favored by each of male student group and female student group. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.
The purpose of this study was to compare high-school students importance and performance toward restaurant service attributes for the marketing strategy development. Specific objectives were to: a) investigate restaurant patronage characteristics of high school students; b) identify the difference of patronage behavior among three types of restaurants; and c) analyze the importance and performance among three types of restaurants. A questionnaire was developed and hand-delivered to 400 students enrolled 9th grade in 4 different high schools in Seoul. A total of 320 students (80%) was responded to this study. The questionnaire was composed of two parts with 47 restaurant service attribute statements. Results of this study were as follows: 1. A total of 57% was female and 61% of respondents spent less than ₩5,000 per week on eating out. 2. The frequency of visiting the low-priced restaurant was 8.9 times per week. 3. Reasons for being a patronage to low- (${\geq}$₩2,000) and mid-priced ( <₩2,000 and ${\geq}$₩5,000) restaurants were hunger, appointment, and seeking favorites with freinds but the reason for high-priced (<₩5,000) restaurants was celebrating special days with parents. 4. The main source of information for selecting restaurants was family and friends, T.V. advertising, and bulletin board. 5. For the low-priced restaurants, food, hygiene, price, and location were rated as important; location, price, menu, and food were rated as satisfied. 6. For the mid-priced restaurants, hygiene, food, price, and menu were rated as important; food, hygiene, service, and menu were rated as satisfied. 7. For the high-priced restaurants, hygiene, food, and atmosphere were rated as important; food, hygiene, atmosphere, and menu were as satisfied. 8. According to paired t-test, the score gap between importance and performance was the highest in the hygiene attribute; differences were high with the low-priced and low with high-priced restaurants.
The purpose of this study is to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on choice of pizza restaurant, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurants based on seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 university students as respondents. Twenty one students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, $X^2$, independent samples t-test, phreg procedure of SAS package. The results were as followed: Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by purchase frequency. Based on the estimated models developed for the two purchase frequency groups, the Chi-square statistics were significant at p<0.001. The parameter estimate for late delivery time with frequently purchase frequency group was highest, and the parameter estimate for price with frequently purchase frequency group was highest. The pizza restaurants that charged 20,000 won, offered 100% discount on eleventh pizza, promised to deliver pizza in 20 min, usually delivered the pizza as promised, offered 2 or more types of pizza crust, delivered steaming hot pizza, and did not offer a money-back guarantee which was favored by each of the two purchase frequency groups. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers can receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.
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