• Title/Summary/Keyword: Strategic Activities

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A Study on the Financial Performance for Nonprofit Performing Arts Organizations: Focusing on American Symphony Orchestras (비영리 공연조직의 재정성과에 관한 연구 - 미국오케스트라를 중심으로 -)

  • Park, Sunmi;Choi, Young-Jun
    • Korean Association of Arts Management
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    • no.50
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    • pp.33-63
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    • 2019
  • This study examines financial performance of nonprofit performing arts organizations to provide concrete suggestions and improve their financial performance so that they can build strategies to continue organizational activities. This study investigates empirical data of IRS 990 tax form of top 73 US orchestras and analyzed GLS pannel. Dependent variables are measured as contributions and ticket sales, and independent variables are measured as economic environment, cultural capital, orchestra characters, government grants, and social capital. Based on the finding from the research, determination of contribution outcomes is positively affected by state employment and orchestra's internal characteristics including age, size and conductor's US nationality, government grants, and volunteer. Ticket sales are affected by employment, education level, orchestra's resources, government grants, and volunteer. However, a size of cultural market negatively influences on financial outcomes and cultural capital doesn't influence on results. Interesting finding is a relationship between volunteers and organizations is vital of their fiscal achievement. This is significant in empirical analysis on nonprofit performing arts organizations from an economic view point, and will contribute on organizations to improve their strategic plan to sustain a business.

The Impact of Hotel Firms' Marketing Agility on Employee Job Crafting and Service Innovative Behavior (호텔기업의 마케팅 민첩성이 직원의 잡크래프팅 및서비스 혁신행동에 미치는 영향)

  • Bae, Moon-Gyu;Jeong, Gap-Yeon
    • Journal of Service Research and Studies
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    • v.14 no.3
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    • pp.79-101
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    • 2024
  • This study aims to investigate the impact of hotel marketing agility on employee job crafting and service innovative behavior in the context of the uncertainties faced by the Korean hotel industry amidst a rapidly changing business environment. In the post-COVID era, hotel companies need to quickly detect market trends and respond flexibly to secure a competitive advantage and promote sustainable growth. Given the high proportion of face-to-face services in the hotel industry, marketing agility is emerging as a core competency to effectively cope with changing customer demands and market dynamics. However, an organization's agile marketing capabilities only take on true meaning when frontline employees voluntarily redesign their jobs and lead service process innovations. In this regard, job crafting, which refers to employees' active redefinition and modification of their job boundaries, can serve as a link between organizational agility and individual innovative behavior. By empirically analyzing the structural relationship between marketing agility, job crafting, and service innovative behavior in the hotel context, this study applies the concept of agility to the field of human resource management and provides new insights into the antecedents and outcomes of job crafting. The results show that hotel responsiveness has a significant positive impact on all three dimensions of job crafting. In the case of speed and flexibility, they had a significant positive effect on task and relational crafting, but the effect of speed on cognitive crafting was not significant. The implications of the study suggest that hotels' rapid decision-making and execution may actually constrain employees' cognitive crafting activities, such as reflecting on and reinterpreting the meaning and identity of their work. Furthermore, it is expected to provide meaningful insights for hotel managers facing environmental upheavals to seek practical measures to enhance agility and innovativeness.

Cannabidiol Promotes Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells in the Inflammatory Microenvironment via the CB2-dependent p38 MAPK Signaling Pathway

  • Lin Li;Jin Feng;Lei Sun;Yao-wei Xuan;Li Wen;Yun-xia Li;Shuo Yang;Biao Zhu;Xiao-yu Tian;Shuang Li;Li-sheng Zhao;Rui-jie Dang;Ting Jiao;Hai-song Zhang;Ning Wen
    • International Journal of Stem Cells
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    • v.15 no.4
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    • pp.405-414
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    • 2022
  • Background and Objectives: Chronic inflammation of bone tissue often results in bone defects and hazards to tissue repair and regeneration. Cannabidiol (CBD) is a natural cannabinoid with multiple biological activities, including anti-inflammatory and osteogenic potential. This study aimed to investigate the efficacy and mechanisms of CBD in the promotion of bone marrow mesenchymal stem cells (BMSCs) osteogenic differentiation in the inflammatory microenvironment. Methods and Results: BMSCs isolated from C57BL/6 mice, expressed stem cell characteristic surface markers and presented multidirectional differentiation potential. The CCK-8 assay was applied to evaluate the effects of CBD on BMSCs' vitality, and demonstrating the safety of CBD on BMSCs. Then, BMSCs were stimulated with lipopolysaccharide (LPS) to induce inflammatory microenvironment. We found that CBD intervention down-regulated mRNA expression levels of inflammatory cytokines and promoted cells proliferation in LPS-treated BMSCs, also reversed the protein and mRNA levels downregulation of osteogenic markers caused by LPS treatment. Moreover, CBD intervention activated the cannabinoid receptor 2 (CB2) and the p38 mitogen-activated protein kinase (MAPK) signaling pathway. While AM630, a selective CB2 inhibitor, reduced phosphorylated (p)-p38 levels. In addition, AM630 and SB530689, a selective p38 MAPK inhibitor, attenuated the enhancement of osteogenic markers expression levels by CBD in inflammatory microenvironment, respectively. Conclusions: CBD promoted osteogenic differentiation of BMSCs via the CB2/p38 MAPK signaling pathway in the inflammatory microenvironment.

Enhancing Technology Learning Capabilities for Catch-up and Post Catch-up Innovations (기술학습역량 강화를 통한 추격 및 탈추격 혁신 촉진)

  • Bae, Zong-Tae;Lee, Jong-Seon;Koo, Bonjin
    • The Journal of Small Business Innovation
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    • v.19 no.2
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    • pp.53-68
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    • 2016
  • Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

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A Study on the Marine Design Base of Marine Leisure Facilities in Southeast Area of Korea - Focusing on the investigation of marine leisure facilities - (동남권 해양레저시설의 해양디자인기반에 관한 연구 - 해양레저시설 조사 중심으로 -)

  • Park, Kwang-Cheol
    • Management & Information Systems Review
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    • v.33 no.5
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    • pp.185-212
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    • 2014
  • This study investigated the base of marine leisure facilities and studied the future vision for development of marine industry by conducting a systematic analysis on the category of marine leisure products for development of design and specialization of southeast area of Korea. If the age of $20,000 of per capita national income is called 'the age of my car', $20,000 of per capita national income is called 'the age of my boat'. According to the report of UK-based Marine South East, the scale of world's small boat and personal waterborne equipment reached 277 trillion won in 2010 and domestic market scale is expected to be 11 trillion won. Marine leisure facilities are the new growth engine industry that the government should promote as a nation's strategic and core industry, and the government is pushing ahead with promotion of marine industry actively by announcing Marine Leisure Equipment Industry Activation Plan(June 2009, Ministry of Knowledge Economy), Marine Leisure Activation Plan(July 2010, Ministry of Land, Infrastructure and Transport), The 1st General Plan for Marina Port(January 2010, Ministry of Land, Infrastructure and Transport) etc. The purpose of marine design lies in seeking the status of the country and qualitative value in human life through functional, artistic, industrial and cultural development of design elements for all marine activities made around the sea. Related to all activities made in the ocean and cost, marine design is a sphere of design that includes special conditions centering around water. Considering the condition that 3 sides of land are facing the sea, this study systematically analyzed present condition of equipment possessed by each area, type of facilities, operational status, current status of sectoral use of marine leisure facilities and future prospect of marine leisure products that become the basis of value to raise the statue as an advanced marine power in 2010s through development of the qualitative level of the people, establishment of the direction of national strategy, convergence of industry and culture and specialization of area focusing on the actual condition survey of marine leisure facilities. Especially, this study will be predicting the basis of strategy for strengthening marketability and competitiveness by suggesting role and process of design in developing a promising marine leisure product through an actual condition survey of marine leisure products of southeast area.

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PRESENT SITUATION AND PROSPECT OF PEDIATRIC DENTISTRY IN KOREA - FOCUSED ON MANAGEMENT OF DENTAL CARIES - (한국 소아치과의 현재와 전망 - 치아우식증관리 분야를 중심으로 -)

  • Lee, Sang-Ho
    • Journal of the korean academy of Pediatric Dentistry
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    • v.39 no.2
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    • pp.206-225
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    • 2012
  • General status of pediatric dentistry in Korea is to conduct vigorous academic activities and specialized medical care centering the Korean Association of Pediatric Dentistry (KAPD) that has about 1,000 pediatric dentists as members, pediatric dentistry departments of 11 Colleges of Dentistry, numbers of pediatric dentistry training institutions and private clinics specialized in children. From 1996, the accredited pediatric dentists were produced by the KAPD and from 2008, the state began to produce the accredited pediatric dentists. Since then, doctors with expertise in pediatric care had opened private clinics in addition to the university hospitals, it became the basis of a momentum to deepen the specialty of pediatric dentistry. The Dentistry community of Korea is going through rapid and profound changes recently, and the underlying reasons for such changes can be classified largely into a few categories: (1) Decreasing population and structural changes in population (2) Increase in numbers of dentists, (3) Changes in the pattern of dental diseases and (4) Changes in medical environment. In Korea, the children population in the age range of 0 ~ 14 years old had been decreased by 2 million in 2010 compared to that of 2000 due to reduction of birth rate. The current population of children in the age range of 0 ~ 4 years old in 2010 takes up 16.2% of the total population, but it is estimated that such percentage would decrease to 8.0% by 2050. Such percentage is largely behind the estimated mean global population of 19.6% by 2050. On the other hand, the number of dentists had been largely increased from 18,000 in 2000 to 25,000 in 2010. And it is estimated that the number will be increased to 41,000 by 2030. In addition, the specialized personnel of Pediatric dentistry had been shown as increased by 2.5 times during past 10 years. For the changes in the pattern of dental diseases, including dental caries, each df rate of 5 years old children and 12 years old children had been decreased by 21.9% and 16.7% respectively in 2010 compared to 2000. Each df Index also had been decreased by 2.5 teeth and 1.2 teeth respectively. The medical expenditure of Korea is less than that of OECD and more specifically, the expenditure from the National Health Plan is less than OECD but the expenditure covered by households is larger than OECD. These facts indicate that it is considered as requiring the coverage of the national health plan to be reinforced more in the future and as such reinforcement needs continuous promotion. In medical examination pattern of Pediatric dentistry, the preventive and corrective treatment were increased whereas the restorative treatment was decreased. It is considered that such change is caused from decrease of dental caries from activation of the prevention project at national level. For the restorative treatment, the restorations in use of dental amalgam, pre-existing gold crowning and endodontic treatment had been decreased in their proportion while the restorative treatment in use of composite resin had been increased. It is considered that such changes is caused by the change of demands from patients and family or guardians as they desired more aesthetic improvement along with socio-economic growth of Korean society. Due to such changes in dentistry, the pediatric dentistry in Korea also attempts to have changes in the patterns of medical examination as follows; It tends to implement early stage treatment through early diagnosis utilizing various diagnostic tools such as FOTI or QLF. The early stage dental caries so called white spot had been included in the subjects for dental care or management and in order to do so, the medical care guidelines essentially accompanied with remineralization treatment as well as minimally invasive treatment is being generalized gradually. Also, centering the Pediatric dentists, the importance of caries risk assessment is being recognized, in addition that the management of dental caries is being changed from surgical approach to internal medicinal approach. Recently, efforts began to emerge in order to increase the target patients to be managed by dentists and to expand the application scope of Pediatric dentistry along with through such changes. The interest and activities of Pediatric dentists which had been limited to the medical examination room so far, is now being expanded externally, as they put efforts for participating in the preventive policy making process of the community or the state, and to support the political theories. And also opinions are being collected into the direction that the future- oriented strategic political tasks shall be selected and researches as well as presentations on the theoretical rationale of such tasks at the association level.

The Study on the Balance of Ambidextrous Strategy of Exploration and Exploitation for Startup Performance (조직의 탐색과 활용에 대한 양손잡이 전략의 균형이 스타트업 성과에 미치는 영향)

  • Choi, Sung Chul;Lee, Woo Jin
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.131-144
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    • 2021
  • The organizational ambidexterity is an organizational strategy designed to pursue exploration activities to seize new opportunities and exploitation activities to efficiently use resources. Most of these ambidextrous structures have been studied for large corporations with slack resources, and there are still not many studies on the necessity of an ambidextrous structure for startups with relatively low-level resources. However, recently, the startup ecosystem is being advanced globally, and the amount of VC investment is rapidly increasing. This is a time when a lot of venture fund is invested in startups and a startup-friendly environment for rapid growth is created. This is the time to discuss the necessity and applicability of an ambidextrous organizational structure for startups. Therefore, this study conducted a hypothesis test whether the importance and necessity of balance that startups solving market problems with new ideas and utilizing accumulated resources have. To conduct this study, we analyzed 140 startups data gathered from the survey and the moderation effect was also analyzed. As a result of the study, it was verified that the balance of startup exploration and exploitation had a significant effect on startup performance, and the moderating effect of environmental dynamics was found to have a significant effect on the relationship with non-financial performance. Therefore, for startups with insufficient resources, it was concluded that the surplus resources generated in the process of a firm's growth should be effectively utilized and the balance between exploration and exploitation should be balanced from the initial stage of searching for a new business. In other words, it was confirmed that it is important for continuous growth and survival to seek the structure of an ambidextrous organization in order to internalize a mechanism that enables startups to pursue both effectiveness and efficiency in the long term. This study suggests a strategic direction for the growth of startups from the perspective of organizational structure. We expect that this meaningful results on the relationship between the ambidextrous capabilities of startups and performance contribute to the growth of startups in the rapidly growing startup venture environment.

Analysis of Success Cases of InsurTech and Digital Insurance Platform Based on Artificial Intelligence Technologies: Focused on Ping An Insurance Group Ltd. in China (인공지능 기술 기반 인슈어테크와 디지털보험플랫폼 성공사례 분석: 중국 평안보험그룹을 중심으로)

  • Lee, JaeWon;Oh, SangJin
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.71-90
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    • 2020
  • Recently, the global insurance industry is rapidly developing digital transformation through the use of artificial intelligence technologies such as machine learning, natural language processing, and deep learning. As a result, more and more foreign insurers have achieved the success of artificial intelligence technology-based InsurTech and platform business, and Ping An Insurance Group Ltd., China's largest private company, is leading China's global fourth industrial revolution with remarkable achievements in InsurTech and Digital Platform as a result of its constant innovation, using 'finance and technology' and 'finance and ecosystem' as keywords for companies. In response, this study analyzed the InsurTech and platform business activities of Ping An Insurance Group Ltd. through the ser-M analysis model to provide strategic implications for revitalizing AI technology-based businesses of domestic insurers. The ser-M analysis model has been studied so that the vision and leadership of the CEO, the historical environment of the enterprise, the utilization of various resources, and the unique mechanism relationships can be interpreted in an integrated manner as a frame that can be interpreted in terms of the subject, environment, resource and mechanism. As a result of the case analysis, Ping An Insurance Group Ltd. has achieved cost reduction and customer service development by digitally innovating its entire business area such as sales, underwriting, claims, and loan service by utilizing core artificial intelligence technologies such as facial, voice, and facial expression recognition. In addition, "online data in China" and "the vast offline data and insights accumulated by the company" were combined with new technologies such as artificial intelligence and big data analysis to build a digital platform that integrates financial services and digital service businesses. Ping An Insurance Group Ltd. challenged constant innovation, and as of 2019, sales reached $155 billion, ranking seventh among all companies in the Global 2000 rankings selected by Forbes Magazine. Analyzing the background of the success of Ping An Insurance Group Ltd. from the perspective of ser-M, founder Mammingz quickly captured the development of digital technology, market competition and changes in population structure in the era of the fourth industrial revolution, and established a new vision and displayed an agile leadership of digital technology-focused. Based on the strong leadership led by the founder in response to environmental changes, the company has successfully led InsurTech and Platform Business through innovation of internal resources such as investment in artificial intelligence technology, securing excellent professionals, and strengthening big data capabilities, combining external absorption capabilities, and strategic alliances among various industries. Through this success story analysis of Ping An Insurance Group Ltd., the following implications can be given to domestic insurance companies that are preparing for digital transformation. First, CEOs of domestic companies also need to recognize the paradigm shift in industry due to the change in digital technology and quickly arm themselves with digital technology-oriented leadership to spearhead the digital transformation of enterprises. Second, the Korean government should urgently overhaul related laws and systems to further promote the use of data between different industries and provide drastic support such as deregulation, tax benefits and platform provision to help the domestic insurance industry secure global competitiveness. Third, Korean companies also need to make bolder investments in the development of artificial intelligence technology so that systematic securing of internal and external data, training of technical personnel, and patent applications can be expanded, and digital platforms should be quickly established so that diverse customer experiences can be integrated through learned artificial intelligence technology. Finally, since there may be limitations to generalization through a single case of an overseas insurance company, I hope that in the future, more extensive research will be conducted on various management strategies related to artificial intelligence technology by analyzing cases of multiple industries or multiple companies or conducting empirical research.

A Methodology of Customer Churn Prediction based on Two-Dimensional Loyalty Segmentation (이차원 고객충성도 세그먼트 기반의 고객이탈예측 방법론)

  • Kim, Hyung Su;Hong, Seung Woo
    • Journal of Intelligence and Information Systems
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    • v.26 no.4
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    • pp.111-126
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    • 2020
  • Most industries have recently become aware of the importance of customer lifetime value as they are exposed to a competitive environment. As a result, preventing customers from churn is becoming a more important business issue than securing new customers. This is because maintaining churn customers is far more economical than securing new customers, and in fact, the acquisition cost of new customers is known to be five to six times higher than the maintenance cost of churn customers. Also, Companies that effectively prevent customer churn and improve customer retention rates are known to have a positive effect on not only increasing the company's profitability but also improving its brand image by improving customer satisfaction. Predicting customer churn, which had been conducted as a sub-research area for CRM, has recently become more important as a big data-based performance marketing theme due to the development of business machine learning technology. Until now, research on customer churn prediction has been carried out actively in such sectors as the mobile telecommunication industry, the financial industry, the distribution industry, and the game industry, which are highly competitive and urgent to manage churn. In addition, These churn prediction studies were focused on improving the performance of the churn prediction model itself, such as simply comparing the performance of various models, exploring features that are effective in forecasting departures, or developing new ensemble techniques, and were limited in terms of practical utilization because most studies considered the entire customer group as a group and developed a predictive model. As such, the main purpose of the existing related research was to improve the performance of the predictive model itself, and there was a relatively lack of research to improve the overall customer churn prediction process. In fact, customers in the business have different behavior characteristics due to heterogeneous transaction patterns, and the resulting churn rate is different, so it is unreasonable to assume the entire customer as a single customer group. Therefore, it is desirable to segment customers according to customer classification criteria, such as loyalty, and to operate an appropriate churn prediction model individually, in order to carry out effective customer churn predictions in heterogeneous industries. Of course, in some studies, there are studies in which customers are subdivided using clustering techniques and applied a churn prediction model for individual customer groups. Although this process of predicting churn can produce better predictions than a single predict model for the entire customer population, there is still room for improvement in that clustering is a mechanical, exploratory grouping technique that calculates distances based on inputs and does not reflect the strategic intent of an entity such as loyalties. This study proposes a segment-based customer departure prediction process (CCP/2DL: Customer Churn Prediction based on Two-Dimensional Loyalty segmentation) based on two-dimensional customer loyalty, assuming that successful customer churn management can be better done through improvements in the overall process than through the performance of the model itself. CCP/2DL is a series of churn prediction processes that segment two-way, quantitative and qualitative loyalty-based customer, conduct secondary grouping of customer segments according to churn patterns, and then independently apply heterogeneous churn prediction models for each churn pattern group. Performance comparisons were performed with the most commonly applied the General churn prediction process and the Clustering-based churn prediction process to assess the relative excellence of the proposed churn prediction process. The General churn prediction process used in this study refers to the process of predicting a single group of customers simply intended to be predicted as a machine learning model, using the most commonly used churn predicting method. And the Clustering-based churn prediction process is a method of first using clustering techniques to segment customers and implement a churn prediction model for each individual group. In cooperation with a global NGO, the proposed CCP/2DL performance showed better performance than other methodologies for predicting churn. This churn prediction process is not only effective in predicting churn, but can also be a strategic basis for obtaining a variety of customer observations and carrying out other related performance marketing activities.

Dual Path Model in Store Loyalty of Discount Store (대형마트 충성도의 이중경로모형)

  • Ji, Seong-Goo;Lee, Ihn-Goo
    • Journal of Distribution Research
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    • v.15 no.1
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    • pp.1-24
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    • 2010
  • I. Introduction The industry of domestic discount store was reorganized with 2 bigs and 1 middle, and then Home Plus took over Home Ever in 2008. In present, Oct, 2008, E-Mart has 118 outlets, Home Plus 112 outlets, and Lotte Mart 60 stores. With total number of 403 outlets, they are getting closer to a saturation point. We know that the industry of discount store has been getting through the mature stage in retail life cycle. There are many efforts to maintain existing customers rather than to get new customers. These competitions in this industry lead firms to acknowledge 'store loyalty' to be the first strategic tool for their sustainable competitiveness. In other words, the strategic goal of discount store is to boost up the repurchase rate of customers throughout increasing store loyalty. If owners of retail shops can figure out main factors for store loyalty, they can easily make more efficient and effective retail strategies which bring about more sales and profits. In this practical sense, there are many papers which are focusing on the antecedents of store loyalty. Many researchers have been inspecting causal relationships between antecedents and store loyalty; store characteristics, store image, atmosphere in store, sales promotion in store, service quality, customer characteristics, crowding, switching cost, trust, satisfaction, commitment, etc., In recent times, many academic researchers and practitioners have been interested in 'dual path model for service loyalty'. There are two paths in store loyalty. First path has an emphasis on symbolic and emotional dimension of service brand, and second path focuses on quality of product and service. We will call the former an extrinsic path and call the latter an intrinsic path. This means that consumers' cognitive path for store loyalty is not single but dual. Existing studies for dual path model are as follows; First, in extrinsic path, some papers in domestic settings show that there is 'store personality-identification-loyalty' path. Second, service quality has an effect on loyalty, which is a behavioral variable, in the mediation of customer satisfaction. But, it's very difficult to find out an empirical paper applied to domestic discount store based on this mediating model. The domestic research for store loyalty concentrates on not only intrinsic path but also extrinsic path. Relatively, an attention for intrinsic path is scarce. And then, we acknowledge that there should be a need for integrating extrinsic and intrinsic path. Also, in terms of retail industry, this study is meaningful because retailers want to achieve their competitiveness by using store loyalty. And so, the purpose of this paper is to integrate and complement two existing paths into one specific model, dual path model. This model includes both intrinsic and extrinsic path for store loyalty. With this research, we would expect to understand the full process of forming customers' store loyalty which had not been clearly explained. In other words, we propose the dual path model for discount store loyalty which has been originated from store personality and service quality. This model is composed of extrinsic path, discount store personality$\rightarrow$store identification$\rightarrow$store loyalty, and intrinsic path, service quality of discount store$\rightarrow$customer satisfaction$\rightarrow$store loyalty. II. Research Model Dual path model integrates intrinsic path and extrinsic path into one specific model. Intrinsic path put an emphasis on quality characteristics and extrinsic path focuses on brand characteristics. Intrinsic path is based on information processing perspective, and extrinsic path emphasizes symbolic and emotional dimension of brand. This model is composed of extrinsic path, discount store personality$\rightarrow$store identification$\rightarrow$store loyalty, and intrinsic path, service quality of discount store$\rightarrow$customer satisfaction$\rightarrow$store loyalty. Hypotheses are as follows; Hypothesis 1: Service quality perceived by customers in discount store has an positive effect on customer satisfaction Hypothesis 2: Store personality perceived by customers in discount store has an positive effect on store identification Hypothesis 3: Customer satisfaction in discount store has an positive effect on store loyalty. Hypothesis 4: Store identification has an positive effect on store loyalty. III. Results and Implications We examined consumers who patronize discount stores for samples of this study. With the structural equation model(SEM) analysis, we empirically tested the validity and fitness of the dual path model for store loyalty in discount stores. As results, the fitness indices of this model were well fitted to data obtained. In an intrinsic path, service quality(SQ) is positively related to customer satisfaction(CS), customer satisfaction(CS) has very significantly positive effect on store loyalty(SL). Also, in an extrinsic path, the store personality(SP) is positively related to store identification(SI), it shows significant effect on store loyalty. Table 1 shows the results as follows; There are some theoretical and practical implications. First, Many studies on discount store loyalty have been executed from various perspectives. But there has been no integrative view on this issue. And so, this research was theoretically designed to integrate various and controversial arguments into one systematic model. We empirically tested dual path model forming store loyalty, and brought up a systematic and integrative framework for future studies. We want to expect creative and aggressive research activities. Second, a few established papers are focused on the relationship between antecedents and store loyalty; store characteristics, atmosphere, sales promotion in store, service quality, trust, commitment, etc., There has been some limits in understanding thoroughly the formation process of store loyalty with a singular path, intrinsic or extrinsic. Beyond these limits in single path, we could propose the new path for store loyalty. This is meaningful. Third, discount store firms make and execute marketing strategies for increasing store loyalty. This research provides real practitioners with reference framework needed for actual strategy formation. Because this paper shows integrated and systematic path for store loyalty. A special feature of this study is to represent 6 sub dimensions of service quality in intrinsic path and 4 sub dimensions of store personality in extrinsic path. Marketers can make more analytic marketing planning with concrete sub dimensions of service quality and store personality. When marketers of discount stores make strategic planning like MPR, Ads, campaign, sales promotion, they can use many items which are more competitive than competitors.

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