Recently, with the development of technology, social network service (SNS) has become a hot topic. Lots of companies are now making online marketing strategy to promote their products and brand identities using SNS. Through these strategies, companies can produce more profit as well as make better brand images by performing online public relations. Among the SNSs, Facebook has a lot of users, it has been regarded by companies as a suitable platform with respect to online marketing for latent customers. The companies of today typically have at least one account and a Facebook page, and constantly make relationships with customers. However, companies have been thoughtless in this process, and usually provide information to customers through one-way communication. Based on this phenomenon, a study was conducted herein on how to use Facebook pages for promoting products and brand identities, keeping good relationships between companies and customers. This study assumed that the types of interaction on Facebook pages and user involvement are the key factors affecting decision making of purchase. Four types of Facebook pages which were made virtually were used in analysis with 56 participants who were selected for the experiment. The results indicated partial verification of the hypothesis. Particularly, product involvement had an effect on decision making of purchase in all conditions. According to these results, it can be explained that there are close relationships between the psychological status of online behaviors and Facebook corporate pages. In addition, through linear tendency of this phenomenon, this can infer how to setup a positive relationship with latent customers and make improve brand images of products.
This study is the research about the internet marketing strategy and the impact factors of psychological well-being of customers of restaurants. For the purpose of study, firstly, the paper was carried out in order to verify the cause and effect relationships of life satisfaction and psychological well-being of the customers in the food service industry. The customers of restaurants in Busan are the objectives for which the survey for empirical analysis was conducted. The result of the testing of hypothesis showed that life satisfaction will have positive influences on psychological well-being, it reveals that life satisfaction has positive influences on three factors of psychological well-being such as personal growth, self acceptance, independence. However, factor of autonomy is rejected. Secondly, the results of the study suggest the importance of introducing variegated internet marketing programs and deciding the appropriate information contents for the customer to activate the use of hands on restaurants. Internet information contents on customer satisfaction and customer loyalty to have a good understanding of the attitude will improve of life satisfaction and psychological well-being of the customers. Strategic information contents of internet marketing for customers of the restaurants must be consider "CRM(customer relationship management)".
A Study on the strategic methods for internal marketing of Family Restaurant. We know that customer satisfaction in measuring the effect of marketing performance on employees in service industry. There are four strategies of internal marketing for service-employee, which are participation-promotion and manner-management of employee, classification to employee, communication strategy, motivation environment for employee. First, communication, sales and service technology of employee can be developed and improved through the education and training. Second, company can make better achievement by classifying life-style and individual desire. Third, communication strategy can improve service quality by development of team-work through the confidence and joint-responsibility. Fourth. the company make environment which employee can compete by offering incentive fairly and properly. In the conclusion, when employees serve customers in a depressed attitude, they neglect service process and bring about customer non-satisfaction. This have negative effect on external customer satisfaction in the short term. And so that customer-satisfaction can't exist without employee-satisfaction. that is job-satisfaction is the goal of company. therefore study about internal marketing action should be go on.
(Most companies that perform BPR have not achieved satisfactory results or have not performed successful BPRs. There are many reasons for this, but the most important one has caused problems that do not accurately reflect the requirements of various stakeholders. In this paper, we will apply the BPR consulting methodology to a new value innovation requirements engineering process based on the Blue Ocean strategy, which is a way to create a new market without competition by customerizing potential customers by satisfying new customer expectations and needs. This paper uses a requirements engineering process that can generate customer value by applying the ERRC(Erasure Reduce Raise Create) analysis method, which is the core of the Blue Ocean Strategy Framework[1,2]. We will also apply the Six Sigma DFSS (Design For Six Sigma) methodology to improve quality and process through quantitative and systematic analysis. The proposed approach was presented to the BPR consulting to present a practical case, and the results of the empirical analysis of the system user to validate the results of BPR consulting.
Journal of Applied Tourism Food and Beverage Management and Research
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제7권
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pp.231-266
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1997
TQM is a whole process of systemizing, documenting and measuring of service quality scientifically to achieve zero defects in product quality and to continue to improve the body of the product quality by itself. To have this process be improved continuously, first of all it needs to prepare an ideal environment to understand and to conform to its internal and external customers', that is every guests' and employees' expectations and demands. Then it has to be followed by the next step removing some negative aspects that could be derived from the first mentioned process The third step is to cut the cost be suitable compensation rather than an attitude trying to solve the problems in an easy way. The last essential factor for setting up TQM system is to make good use of the outstanding feature or process as it is reviewed against the superior benchmark. The purpose of this study is meet the customers' expectations and to maximize the hotel's profits by searching TQM(total quality management) strategy in hotels. To attain this research's objective, it follows these three details. Firstly, it defines TQM and its contents. Secondly, it provides the standard of hotel TQM throughout some case studies. Thirdly, it suggests TQM strategic plan in tourism hotel as one of professional management strategies. Two useful methods are used together to achieve the goal of this study. To confirm its theoretical consideration, descriptive studies by the research documents its theoretical consideration, descriptive studies by the research documents published in and out of the country is used. The other is case studies of TQM execution in real hospitality industry, which present the cases of the airline, Jefferson Memorial and the hotel. This research is targeting to demonstrate the successful TQM's exercise in a hotel industry by completing the theoretical studies and case studies on service product quality with an understanding of its importance. As it is said earlier, to lead to the successful TQM's practice, it is necessary to maintain a constant training of the employees. Secondly, it also must identify where it has to focus on to deliver a professional quality management. Thirdly, effective quality management organization needs to be build up. The manager's strong will to accomplish and the employee' active participations are the last condition to be succeed. Once again this study places an emphasis on the fact that TQM is critical to maximize the customers' satisfaction and the hotel's profitability. It is also very worthwhile to have every people working on front line recognize why the TQM is important and further more how they can contribute to improve their service quality by a positive participation and a careful observation of TQM's operating in their property.
This study aims to redefine people's attitudes about well-being trend LOHAS(Lifestyles Of Health And Sustainability) by a systematic research on diners' perspectives about LOHAS and menu-selecting behavior since well-being trend has been a main interest of the media and the food service industry. Also, this study has focused on understanding customers' menu-selecting behavior through a customer interest survey and on customers' interests and verifying factors for healthy food inclination and satisfaction level to give basic information and marketing suggestions for healthful menu. SPSS 12.0 was used for the data analysis, and $x^$-test was carried to make clear the different perspectives about well-being trend LOHAS according to the general characteristics of those polled. Factor analysis was done to menu-selecting behavior. Differences between sampling menu-selecting factors and general characteristics(t-test & ANOVA) were inspected and multiple regression analysis between health inclination and satisfaction level was also conducted. According to the survey, customers' well-being menu selecting behavior showed highly in married women, relatively older people, those with higher general income and higher education. Regression analysis showed that menu-selecting behavior influenced customers' inclination toward health and satisfaction level. Therefore, the food service industry should target those groups and improve its promotional communication strategy with proper menu development and an improved concept.
Journal of the Korea Fashion and Costume Design Association
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제9권2호
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pp.155-166
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2007
The purpose of the research is to provide the operation plans of internet marketing for effective application as marketing tools by analyzing the application status of marketing mix through the 30 websites of sportswear brands. Firstly, a study on the marketing mix strategy of sportswear brands presents that most brands put a high priority on promotion strategy by achieving online marketing. Secondly, compared with the other company brands which have online shopping mall, the website of sportswear brands consists of centered brand image. Therefore, based on the analysis about the variety of products and merchandise picture in each item and detailed information offer of neo-products introduction, marketing mix is insufficient in the website of sportswear and the price strategy has the least information. After website of sportswear brands is connected with online-shopping mall, guidance for its price and product is performed mainly. Consequently the sales promotion strategy of price needs development through the incentive and discount price. Promotion strategy occupies more parts than any other strategy. Especially, it allows a high proportion of the variety of events and information for the customer services. Also it needs to improve its bulletin board and Q&A board on the website for better communication with customers. Furthermore distribution strategy focuses on information such as location, contact numbers and address of the online shopping mall. Although online shopping mall has its own advantage which is marketing on the internet, it is not yet in progress.
Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.
This study investigates the effect of Alpha-numeric brand name on the product suitability, brand personality, and attitude. To do that we have chosen the functional sportswear, knowing the fact that the Alpha-numeric brand names are not hard to find in this industry. The changes have been made to Alpha-numeric names, such as the usage/non-usage of number, the size of number being used, the writing method, and the different typeface to suit for the study purpose. The results indicate that the Alpha-numeric brand names do have the effect on increasing the fitness for the product's brand. The bigger number and the cursive script will improve the product's suitability. The customers form positive attitude and favorability on the Alpha-numeric brand name compared to the regular brand name in this industry. The contribution of the study is to dig out the distinction of the communicational effects on the customers when the Alpha-numeric brand names take on the different forms. Therefore the current study enlights the practical value of Alpha-numeric brand name as part of the branding strategy.
Haming, Murdifin;Murdifin, Imaduddin;Syaiful, A. Zulfikar;Putra, Aditya Halim Perdana Kusuma
Journal of Distribution Science
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제17권2호
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pp.25-34
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2019
Purpose - This research strives to analyze and investigate customers' perception of the dimensions of service quality at retails in Makassar Municipality of Indonesia Country. This research tries to present its results empirically, which might be helpful to prepare a strategy to improve the service quality at retail companies. Research design, data, and methodology - The research uses Parasuraman's in 1985 unmodified SERVQUAL approach. This research is conducted using a questionnaire by purposive random sampling with 150 housewives customers who are met while they are shopping. The object of the study included several retail companies such as Alfa Mart, Alfa Midi, and Indomart operating in Makassar, Indonesia, which has been serving in 2017. Analysis was conducted by quantitative descriptive analysis, measurement of variable dimensions on the questionnaire using a Likert scale, and using cartecius graph and quadrant graphs to determine the gap size of each variable. Result - This research finds that the tangible and empathy dimensions such as product layout and lighting condition should be prioritized, and the empathy dimension whose gap value is too prominent such us peak load time condition and problem-solving adjustment. Conclusion - The second priority is responsiveness dimensions, and the last priority is reliability and assurance dimensions.
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