• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.3
• /
• pp.65-72
• /
• 2018

The purpose of this paper is to understand the influence of country personality dimensions and product involvement on European consumers purchase and visit intentions, considering the Portuguese context. The increasing economic globalisation has resulted in the reducing of trade barriers between nations and the availability of more foreign products and services across borders. Therefore, the place associations of these products and services might be regarded as a potential competitive differentiator in their respective markets. Despite the proliferation of literature devoted to assessing the effects of country-of-origin, the symbolic dimension of a country's image remains understudied. A questionnaire measuring country personality dimensions, product involvement, and consumer's purchase and visit intention was passed on a sample of 335 European consumers. Country personality indeed matters both positively and negatively. Findings show that while assiduousness positively influences consumer's visit intentions, wickedness has a negative influence on consumer's purchase intentions. Findings also reveal that product involvement has a positive significant influence on consumer's purchase and visit intentions. On developing marketing strategies, international marketers and governmental decision-makers should consider product involvement attributes and specific country personality traits to provide the country's products with a competitive edge, as well as to promote the country as a travelling destination.

• Journal of Korean Society for Quality Management
• /
• v.30 no.3
• /
• pp.20-37
• /
• 2002

In this paper, we studied the purpose of this paper is like that; the first one is to find the factors associated with operational strategy by variable website types classified into information-providing type, product-providing type and service- providing type by user approach purposes. The second one is to propose the successful operational strategy through analyzing the factors affecting the financial and non-financial performance of websites. A framework of research model including above factors is developed and tested statistically. The data are collected from Internet website experts of 80 Korean firms through survey. The main results of this research are as follows. First, in information-providing websites, the community factor is regarded as the most important factor But for the Improvement of the performance, not only community factor but also user interface, customization, total quality and playfulness factors should be regarded as important factors equally. Second, in product-providing websites, customization, total quality and visual design factors are regarded as important factors. But for the improvement of the performance, community and visual design factors should be regarded as important factors. Third, in service-providing websites, user interface, customization and community factors should be regarded as important factors in order to improve the performance.

• Knowledge Management Research
• /
• v.12 no.3
• /
• pp.1-25
• /
• 2011

This research empirically examined the determinants of competitive advantages and performance of Korean film industry from 1996 to 2003 over a sample of 396 movies. Especially, the effects of knowledge-based resources, social capital, product differentiation strategy, and market entry strategy on a film performance were hypothesized and empirically tested. Findings of this study are as follows; First, confirming the importance of knowledge-based resources in film industry, both the superior business track records of producers and the superior artistic track records of directors and actors had positive effects on film performance. Second, supporting social capital hypotheses, while the strong ties between directors and producers had positive effects, the strong ties between directors and actors had negative effects on film performance. Third, confirming the importance of product differentiation strategy, genre differentiation against competing films had positive effects on film performance. Finally, confirming the importance of market entry timing, the number of competing films released following a film opening within a week had negative effects on film performance. The findings of this research suggest that producers, directors, and actors are not only the critical knowledge-based resources to create competitive advantages indeed, but the pattern of relationships among them also systematically influences the film performance. Moreover, it is suggested that film performance may be improved by the proper genre differentiation and opening day selection.

• Journal of Korean Society for Quality Management
• /
• v.40 no.3
• /
• pp.347-358
• /
• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• Journal of the Korea Safety Management & Science
• /
• v.13 no.1
• /
• pp.151-160
• /
• 2011

Cosmetic industry is a typical industry for domestic demand and is closely connected with domestic demand growth. In 2006, domestic cosmetics market is showing high growth rate due to the recovery of domestic demand and the market reorganization of sales channels is proceeding rapidly due to the recent global economic slowdown, Due to the situation, many companies are launching low-priced brand shop. The purpose of this study was to clarify the impact of marketing strategy of cosmetic brand-shop on consumers' purchasing intention. As the result of analyses, it was found that product, place, promotion factors of cosmetic brand-shop affect brand image. Also only product factor affects corporate image, perceived quality. And using regression analysis between brand image, corporate image, perceived quality and customer behaviors. Brand image and perceived quality factors influence consumers purchasing intention. Brand image has a positive impact on corporate image. And corporate image affects the perceived quality.

• Journal of Information Technology Applications and Management
• /
• v.12 no.3
• /
• pp.41-56
• /
• 2005

Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability Problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

• Korean Management Science Review
• /
• v.25 no.3
• /
• pp.101-122
• /
• 2008

A wide variety of convergent digital products are emerging through the combination of multiple independent digital technologies. Digital convergence provides new revenue sources for businesses and new ways of satisfying individual needs of consumers. Despite its business and consumer implications, little research has addressed how people perceive or evaluate convergent products. This study aims at understanding how consumers interpret and evaluate convergent digital products by conducting two consecutive studies. Firstly, a survey was conducted to understand how people interpret convergent products in three ways suggested by the conceptual combination theory based in cognitive science. Secondly, an experiment was conducted to investigate the impact of combination strategies and product similarities on user evaluation of convergent products. Study results indicate that similarity of constituent products has a substantial effect on the interpretation of concept combination strategies. Moreover, combination strategy and product similarity were found to have substantial effects on user comprehension, perceived newness, and preferences for convergent products. This paper ends with an examination of the implications and limitations of the study results.

• Korean Management Science Review
• /
• v.13 no.3
• /
• pp.91-104
• /
• 1996

The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

• Asia pacific journal of information systems
• /
• v.11 no.4
• /
• pp.27-41
• /
• 2001

CRM is at the core of any customer-focused business strategy and includes the people, processes, and technology questions associated with marketing, sales, and service. In today's hyper-competitive world, organizations looking to implement successful CRM strategies need to focus on a common view of the customer using integrated information systems and contact center implementations that allow the customer to communicate via any desired communication channel. A CRM solution contains a number of sophisticated tools that enable to extract detailed information about customers. This information can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customers' needs and target new products to particular customer groups. This paper presents an approach for forming the product-customer groups using neural networks for customer relationship management. The Carpenter-Grossberg's neural network, which has been used for manufacturing cell formation in group technology, is modified and applied for product-customer group formation. As a result of numerical experiments, it is also useful for more complex problems in which customers have different preferences for each product.

• Management & Information Systems Review
• /
• v.3
• /
• pp.257-285
• /
• 1999

Korea Postal Service(KPS) nowadays lies in competitive environment with alternative business such as door-to-door delivery service. Customers began to complain about postal service quality and ask the government to reform a public firm through management innovation. But, Korea Postal Service has not met the break-even point between it's revenue and expenditure because the service is under the government system and cannot independently make major decisions on products, pricing, services, personnel management, financial policies and etc. The objective of this study is to provide marketing planners and practitioners with some guidelines when they establish marketing strategies and to help marketers on theories and practical instructions about postal service marketing when they interact with customers. I. A field survey on both customer satisfaction and internal staff satisfaction was conducted to get some ideas for the marketing strategy planning. II. Practical guidelines and instructions were made for marketers to communicate with customers in various areas such as pricing, product, service demand, marketing channel, promotion, and etc. III. Some suggestions on marketing policies for planners and mangers in the marketing strategy were described including personnel resource as well as physical resource. IV. Special issues on small packet market and direct mail market were discussed and some alternative solutions were proposed. V. Database marketing strategy was emphasized to get new business opportunities such as direct mail, and to provide differential services to customers as much as their contribution into the profitability for KPS. VI. Cyber Post Office should be constructed on Internet to provide new services which are combined with physical material flow and information technologies.