The purpose of this study was to analyze the brand loyalty formation by positive labeling. Affecting such factors as involvement, self-image, community engagement, preference, and choice cutback, positive labeling can be seen as one of psychological factors that shapes consumer's behavior and their decision. This study was carried out because little research was done to examine the influence of positive labeling toward brand loyalty, and also to find out the benefits that consumers can get from being labeled in positive terms. Data were collected through survey questionnaire and 151 usable responses were used. Following a series of pretests and confirmatory factor analysis helped to purify measures and verify the psychometric properties of the scale. Structural equation modeling with AMOS was used for testing of research hypotheses. The result of data analysis demonstrated the positive relationship between labeling and brand loyalty, i.e. positive labeling indirectly leads to consumers' loyalty toward a brand. Findings revealed significant relationship between involvement and emotional attachment, as well as the relationship between community engagement and choice cutback. The results gave support for the hypothesis of moderating effect of buzz on the relationship between involvement and emotional attachment, even though the hypothesis of moderating effect of distinction was rejected. Taking Apple's rivalry strategy as initial point, this study highlights the role of labeling in creating social identity. The study attempts to show the positive consequences of labeling strategy for firms that seeks ways of good competition without engaging into conflicts.
Objectives: The purpose of this study was to examine the coverage of the current mandatory nutrition labeling system on the nutrient intake of Koreans. Methods: KNHANES dietary intake data (2013) of 7,242 subjects were used in the analysis. KNHANES dietary intake data were collected by a 24-hour recall method by trained dietitians. For analysis, all food items consumed by the subjects were classified into two groups (foods with mandatory labeling and other foods). In the next step, all food items were reclassified into four groups according to the food type and nutrition labeling regulations: raw material food, processed food of raw material characteristics, processed foods without mandatory labeling, and processed foods with mandatory labeling. The intake of energy and five nutrients (carbohydrate, protein, fat, saturated fat, and sodium) of subjects from each food group were analyzed to determine the coverage of the mandatory nutrition labeling system among the total nutrient intake of Koreans. Results: The average intake of foods with mandatory labeling were 384g/day, which was approximately one quarter of the total daily food intake (1,544 g/day). The proportion of energy and five nutrients intake from foods with mandatory labeling was 18.1%~47.4%. The average food intake from the 4 food groups were 745 g/day (48.3%) for the raw food materials, 54 g/day (3.5%) for the processed food of raw material characteristics, 391 g/day (25.3%) for the processed foods without mandatory labeling, and 354 g/day (22.9%) for the processed foods with mandatory labeling. Conclusions: Although nutrition labeling is a useful tool for providing nutritional information to consumers, the coverage of current mandatory nutrition labeling system on daily nutrient intake of the Korean population is not high. To encourage informed choices and improve healthy eating habits of the Korean population, the nutrition labeling system should be expanded to include more food items and foodservice menus.
Objectives: The study examined the status on the use of nutrition labeling and nutrition claims among university students as well as the diet quality and nutritional status using the nutrition quotient (NQ) according to the use of nutrition labeling and claims. Methods: A cross-sectional survey was conducted on university students (86 males and 131 females) from March to April in 2019 in Chungbuk area. Results: The percentage of subjects who reported that they recognized nutrition labeling was 80.2% of the total, and 63.8% of them indicated that they used nutrition labeling for their food choices. In addition, 22.6% of the total subjects said that they used nutrition claims. The group of subjects using nutrition labeling showed significantly higher mean scores in balance (P < 0.01), diversity (P < 0.05), moderation (P < 0.01), and dietary behavior (P < 0.001) along with higher mean NQ score (P < 0.001) compared to the group not using nutrition labeling. The group using nutrition claims had significantly higher mean scores in balance (P < 0.001), diversity (P < 0.01), moderation (P < 0.001), and dietary behavior (P < 0.001) as well as total NQ scores (P < 0.001) compared to the group not using nutrition claims. The group of subjects using both nutrition labeling and nutrition claims showed significantly higher mean NQ scores than the group of subjects using either nutrition labeling or nutrition claims (P < 0.05). Conclusions: In this study, university students' use of nutrition labeling and nutrition claims appeared to be related to their diet quality and nutritional status.
This survey was conducted to evaluate with 457 health professionals from July, 1999 to September, 1999 the awareness of and satisfaction with the nutrition labeling system in Korea and to determine a desirable labeling system. Professors of food and nutrition and nutrition researchers in the food industry had the hightest scores on awareness of the nutrition labeling system(75.6% and 73.4%, respectively), which was significantly different from each other by occupation(p < 0.01). Frequently checked labeling information were expiration date, production date, price, and company respectively. Special nutrient food producers(56.9%), dietitians(49.3%), nurses(48.1%), researchers(42.3%) answered moderately on satisfaction with nutrition information for products, which was statistically significant(p < 0.01). This suggests that health professionals were unsatisfied with the present nutrition labeling system. In nutrition focusing statements, nutrient content claims, health claims, and working periods were significantly related with nutrition focusing statements and health claims, but not with nutrient content claims : the subject who had been working for more than 10 years and less than 5 years had positive thoughts or those matters while the subjects whose working periods were between 10 and 5 years had the lowest score. The most desirable labeling units were serving size(65.1%). Ninety two percent of the subjects wanted absolute nutrient contents in food and their percentage of the KRDA. Eight nine percent of health professionals agreed that the health claims should be used only with scientific approval by the government or food research institutions. Only 4.4% of subjects were satisfied with current regulations of health claims(p < 0.001). More studies regarding labeling units, their range and nutrient reference values are needed. The opinions of health professionals in nutrition labeling system should discussed to establish a desirable nutrition labeling system.
This study was performed to investigate the level and recognition and interest in nutrition labeling in restaurants according to consumer interest levels in health and to suggest its application to restaurant lunches. By considering various statistics and data on the frequency of reasons for dining-out, this study examined worker restaurant lunches and investigated the level of recognition of interest in nutrition labeling, the type of nutrition information that is of interest and the preferred format of labeling according to the level of interest in health. According to the results, while the frequency of dining-out by workers was high, their consideration for health and nutrition labeling in restaurants was low. However, a high percentage of consumers responded that nutrition labeling was a customer right and necessary to improve the quality of menu items as well as public health. Therefore, active promotion of nutrition labeling in the dining industry is necessary. Interest levels in additives, product origin and menu ingredients indicated in restaurant menus were higher than for nutritional information such as nutrients and calories. When the preferred format for providing nutrition information was investigated, consumers preferred information written on a menu board, and they wanted to broaden the range of information included in nutrition labeling for menu items beyond calories and nutritional facts. Based on these results, recognition of nutrition labeling in restaurants was found to below and the interest level in health was also lower than expected. However, most consumers responded that nutrition labeling was helpful in choosing menu items can be a tool for nutrition education and can play a role in improving the recognition of nutrition. Therefore, active promotion of nutrition labeling by the dining industry is necessary.
BACKGROUND/OBJECTIVES: This study examined the effect of nutrition labeling formats on parents' food choices for their children at different restaurant types. SUBJECTS/METHODS: An online survey was conducted with 1,980 parents of children aged 3-12 years. Participants were randomly assigned to fast food or family restaurant scenarios, and one of four menu stimuli conditions: no labeling, low-calorie symbol (symbol), numeric value (numeric), and both low-calorie symbol and numeric value (symbol + numeric). Participants selected menu items for their children. Menu choices and total calories were compared by nutrition labeling formats in each type of the restaurant. RESULTS: Low-calorie item selections were scored and a two-way analysis of variance (ANOVA) was conducted for an interaction effect between restaurant and labeling type. In the fast food restaurant group, parents presented with low-calorie symbols selected the lowest calorie items more often than those not presented with the format. Parents in the symbol + numeric condition selected significantly fewer calories (653 kcal) than those in the no labeling (677 kcal) or numeric conditions (674 kcal) (P = 0.006). In the family restaurant group, no significant difference were observed among different labeling conditions. A significant interaction between restaurant and labeling type on low-calorie selection score (F = 6.03, P < 0.01) suggests that the effect of nutrition labeling format interplays with restaurant type to jointly affect parents' food choices for their children. CONCLUSIONS: The provision of easily interpretable nutritional information format at fast food restaurants may encourage healthier food choices of parents for their children; however, the effects were negligible at family restaurants.
The purpose of this study was to investigate the status of current nutrition labeling on the packaging of the processed foods that provide consumers with a reliable and consistent source of information, which has been considered as a useful aid for food selection and a potent educational tool for nutrition in daily life. The 2,160 processed foods purchased at the supermarket on September, 2002, were divided by food category issued from the 2002 food codes and assessed in the terms of the nutrition composition labeling and nutrition claims. Nutrition composition labeling was found on 356 of the 2160 processed foods items. Milk and dairy products had 49.7% of nutrition composition labeling, which was the largest number among the food category. Tables were most frequently used as the type of nutrition composition labeling (79.8%). Nutrition composition including many different ways of expression, such as a table of nutrition composition, indication of nutrition composition, analysis table of nutrition composition and comparative table of nutrition composition, made frequent use of nutrition composition labeling titles (78.7%). The various unit of measures were use in the nutrition labeling of the processed foods, per l00g or 100$m\ell$ was the highest (44.6%) under the currently practiced nutrition labeling. The correct labeling standard with nutrient content and % RDA except energy, was used on 47.8% of labels, and those with only liability indication nutrient and liability indication nutrients plus discretion indication nutrients were 25.3 and 22.5% respectively. The processed foods with nutrition claims were 8.0% (172 items). Nutrition claims were divided in two ways: nutrient content claims and nutrient comparative claims. The most frequently used claims were contained in the former (44.4%) and more or plus in the latter case (16.3%). Ca was the most popular item as a nutrition claim nutrient (50.6%).
The labeling for functionality of food or food components are recognized globally and are essential for the growth of dairy product industry. To expand the functional claims of dairy product especially fermented milk product, the regulations restricting the labeling of functionality should be amended as soon as possible. The labeling regulations of functionality and efficacy for processed and functional foods in related Acts and subordinated statues such as definition, scope of claims, etc. were reviewed and the problems existed in the system were identified. The definition and classification of efficacy for processed food in Food Sanitation Act were analyzed to revise the labeling regulation of dairy product. A draft of amended labeling regulation for the functionality of dairy product is proposed, which provides consumers with appropriate information of beneficial effects on health purpose for human body structure and function. In order to develop the dairy products and related industries, these contents should be considered when the annexed Table 14 in the Enforcement Rule of the Processing of Livestock Products Act is amended.
Recently, Reinforcement Learning(RL) methods have been used far teaming problems in Partially Observable Markov Decision Process(POMDP) environments. Conventional RL-methods, however, have limited applicability to POMDP To overcome the partial observability, several algorithms were proposed [5], [7]. The aim of this paper is to extend our previous algorithm for POMDP, called Labeling Q-learning(LQ-learning), which reinforces incomplete information of perception with labeling. Namely, in the LQ-learning, the agent percepts the current states by pair of observation and its label, and the agent can distinguish states, which look as same, more exactly. Labeling is carried out by a hash-like function, which we call Labeling Function(LF). Numerous labeling functions can be considered, but in this paper, we will introduce several labeling functions based on only 2 or 3 immediate past sequential observations. We introduce the basic idea of LQ-learning briefly, apply it to maze problems, simple POMDP environments, and show its availability with empirical results, look better than conventional RL algorithms.
The purpose of this study is to investigate the importance-performance analysis for country-of-origin labeling at restaurants. There is a growing concern over food safety as well as interest in the country-of-origin for food ingredients served at restaurants. In this study, the importance-performance analysis for the labeling of country-of-origin at restaurants, revealed that there were significant differences in all 12 attribute items, and the importance was scored higher than the performance in all items. Also, the importance-performance analysis for the attributes of the country-of-origin labeling showed that 'supportive government policies', 'system of controls for violation of the country-of-origin labeling', and 'penalty for violation of the country-of-origin labeling' are included in the second quadrant, which has a high level of importance but a low level of performance.
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