This study aims to establish an online shopping mall marketing strategy based on big data analysis methods. The customer cluster analysis method was utilized to analyze customer purchase patterns and segment them into customer groups with similar characteristics. Data was collected from orders placed over one year in 2023 at ‘Jeonbuk Saengsaeng Market’, the official online shopping mall for agricultural, fish, and livestock products of Jeonbuk Special Self-Governing Province. K-means clustering was conducted by creating variables such as ‘TotalPrice’ and ‘ElapsedDays’ for analysis. The study identified four customer groups, and their main characteristics. Furthermore, regions corresponding to customer groups were analyzed using pivot tables. This facilitated the proposal of a marketing strategy tailored to each group’s characteristics and the establishment of an efficient online shopping mall marketing strategy. This study is significant as it departs from the traditional reliance on the intuition of the person in charge to operate a shopping mall, instead establishing a shopping mall marketing strategy through objective and scientific big data analysis. The implementation of the marketing strategy outlined in this study is expected to enhance customer satisfaction and boost sales.

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

The phenomena of fashionable hijabi - headscarf-wearing women - who crowded social media has been seen in the past three years. Social media is progressively penetrating daily media using (Hinton & Hjort, 2013). Indonesian hijabis also use social media to show her creativity in styling their outfit and hijab and share it to others thus like-minded people are inspired to do the same thing too, to combine the fashion and faith. Indonesia, as the largest Muslim majority country has benefited this booming of hijab fashion in articulating the Muslim lifestyle. This trend is triggered by 30 young Muslim women who then formed Hijabers Community. One of them was Ria Miranda, who is known as one of hijab fashion movers in Indonesia, is then now a prominent Muslim fashion designer in Indonesia. Ria Miranda is actively using social media for her marketing strategy from the booming of blog, Facebook, Twitter then now Instagram and the newest one is YouTube. Her team is using many forms of social media to engange with customers. She has her own Instagram under the name @riamiranda which has more than 500.000 followers as for personal branding including her daily activities, her family story which is considered now as "family goals" and also her designer life. Her husband under the name @pandurosadi serves as her co-branding which sometimes tell a "behind-the-scene" of her designer wife's activities, his family and his romantic words to her wife. She also has an instagram as for the information about her brand named @inforiamiranda which has more than 80.000 followers. She builds a very good relationship with her customers who then claimed to be Ria Miranda Loyal Customer or RMLC. These customers are die-hard fans who always hunt her products and they also sometimes serve as word-of-mouth on their social media platform especially on Instagram. They always wear Ria Miranda’s products and post their photos under the hashtags that of Ria also uses, they also put their biodata as “Ria Miranda Loyal Customers” which becomes a pride for them. Ria Miranda uses a several hashtag to differentiate her timeline feeds and the most used ones are #riamirandastyle, #RMLC and #riamirandasale. These hashtags are also used by unofficial sellers of her products because her producst are not easy to get thus there are many people who sell their items to others. Apart from only selling her fashion products, Ria tells a story, she tells her lifestyles as her digital strategy engagement. That is what Indonesian people are looking for, a role model. Her product was once only women’s clothes but now it also ranges to accessories such as eyeglasses, necklaces, shoes and bags. It is not only designed for women but also kids and the newest one is for men. So it is a family-package brand. In 2016, she makes several activations including private preview collection show to several big cities around Indonesia that has its store branches and this program also included to invite her customers to travel together and it ended up with fashion show and bazaar. No need to explain, her products were all sold out in minutes. Other events are Ria Miranda Trend Show which is an annual event, this year is the forth time. It was held on December for two days, not only about fashion show but also talkshows about trend in fashion, beauty, e-commerce, lifestyle, music and family. Before this main event, it held several pre-events about Beauty and Make Up class and talkshows about Fashionpreneur that were also crowded by her customers. The most interesting was that it also made a challenge in Instagram called #30dailychallenges that has been used for more than 5.000 posts in Instagram. This program was about a challenge to post our photos on Instagram with several thematic topic such as about the style, hijab outfit of the day that mostly knonw as #HOTD and other daily activities related to Ria’s products and other products that are collaborated with her such as cosmetics and e-commerce. Ria can be said as a good designer in Indonesia. I have a high curiosity about how she can make her customers loyal to her and always want to buy more and more. Besides that she made a good and high quality product, her clothes are not cheap but her customers are always willing to buy and even compete to have her products. They have created many words that are only understood among them, we need a dictionary to know the meaning of them such as #PPCi, #RMLCii, #RMTSiii. I want to analyze them too. This research will employ a qualitative research method which will use more words than numbers (Stokes, 2003) with non-participants observation and visual semiotics analysis. Semiotics is the study of signs that is useful to interpreting the text (Berger, 2014; Howells, 2003; Jensen & Jankowski, 1991; Stoke, 2003). In here I will analyze the Instagram's photographs, captions and also the hashtags that contain meaning behind their usings. Globally, Instagram has reached 500 million users and Indonesia is ranked as the third countries with most users after Japan and Brazil. 89% of instagram users are between 18 – 34 years old and dominated by women with a portion of 63% (Edwin, 2016). Instagram helps designers to show their product freely and got global exposure as long as they can provide a good quality of photos. Fashion and technology are the most popular products among Indonesian Instagram users and they must have ever made a shopping experience from their Instagram’s brands they follow. Apart from that, Indonesians use instagram to find inspiration, share their travel experience and to find information about new trends. I also use in-depth interview to understand more about this brand. I have been able to interview her husband who serves as Business Development and who creates the strategy behind this brand. I want to know deeper about the digital strategy of Ria Miranda brand as it is actively using social media to engange with customers and how it creates consumer culture for fashionable hijabi. Consumer culture is simply the tendency of people who consume what is available on the market through different types of shopping platforms such as on the Internet, retail and shopping malls (Lury, 2011). This research’s goals are to examine the digital strategy of Ria Miranda and team that has been used on Instagram. I hope that this research will contribute to the way how we use social media to make a profit, share positive things and to know more about the new digital strategy. The future work will be possible to analyze about YouTube video that Ria Miranda has newly engaged with.

Customers are regarded as the key intangible assets of a company. It is necessary to have the capability to anticipate customer value. The study discusses the relationship among customer value anticipation, product innovativeness, and customer lifetime value from customer perspective. 178 MBA students were surveyed by questionnaire in this study. The results show that customer perceived customer value anticipation can significantly influence product innovativeness. Product innovativeness not only positively affects customer lifetime value, but also plays a partial mediating role between customer value anticipation and customer lifetime value. Both functional and emotional advertising can play a moderating role on the relationship between product innovativeness and customer lifetime value. At the end, managerial implications are discussed.

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

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.

The purpose of this study was to determine the detailed customer satisfaction and dissatisfaction factors of family restaurants in Korea, and to then classify the factors into 3 groups, inlcuding core service, quality service, and basic service. ‘Core service’ represents the critical factors that generate both satisfaction and dissatisfaction; ‘quality service’ generates only satisfaction; and ‘basic service’ generates only dissatisfaction. This categorization is based on Herzberg’s motivation-hygiene theory (1976) as well as Cadotte & Turgeon (1988). Based on the characteristics of the three groups, differentiation strategies in managing customer service were suggested to the family restaurant managers. A qualitative research method, termed the critical incident technique (CIT), was used in the study. This method helps researchers find new factors or attributes by grouping key issues from the anecdotes (critical incidents) and then categorizing common factors from the key issues. This research categorized key satisfiers and dissatisfiers into 33 factors, which were from 402 critical incidents described by 261 respondents. Eleven factors (response to service failures, food taste and quality, attention paid to customers, coupon/mileage point/discount card, customer’s ordinary requests, waiting, food diversity, food price, facility sanitation, checking out, customer’s special requests) were classified into core service, which required maximum management not regarding the level of customer satisfaction. Six factors (employee attitude, event, education and explanation, complementary food, customer’s mistakes, attention paid to children) were classified into quality service, which required differentiation strategy management. Finally, nine factors (speed of food service, employee’s mistakes, food sanitation, atmosphere and interior, seating, forcing orders, parking, other customers, reservations) were classified into basic service, which required minimum management at the level of the industry standards.

Quality function deployment(QFD) is becoming a widely used customer oriented approach. The aim of this paper is to present an analytic method of quality function deployment that is to maximize customer satisfaction, using a customer satisfaction survey conducted in the college in Korea. Combining weights and satisfaction indices, "performance/important" diagrams are to develop and this grid can be used in order to identify priorities for decision making. Also, this paper shows a 0-1 integer programming model for maximizing customer satisfaction subject to a budget constraint in QFD planning process with case study.

  Internet shopping mall has become a huge distribution channel with dramatic growth in recent years. The number of consumers has exponentially increased as the scale of shopping mall has been large so that shopping malls with thousands or millions of con

The purpose of this research is to develop the management strategy for a take-out specialty sore on the basis of SWOT analysis which requires analysis of internal and external environmental informations. The survey was performed in order to gather the internal and external customer informations for a take-out specialty store. The questionnaires developed were distributed to customers (N=188) and employees (N=23) at 5 take-out specialty store branches from April 25, 2002 to April 29, 2002. The statistical data analysis was completed by SPSS WIN 10.0 for descriptive analysis, factor nalaysis, and Pearson's correlation. IPA(Importance-Performance Analysis) was applied in order to identify the critical management issues which would be explained with the organization's weakness or strength. SWOT analysis was performed through identifying the organizational strength and weakness as internal environment factors and external environmental opportunity and threat as uncontrollable external factors.

PurposeThemaingoalsofthisstudyare(1)tostudythe–informationsourcesusedthemostbycustomersofIslamicbanks;and(2)tocomparethiswithconventionalbankcustomers. Researchdesign,data,andmethodology125Islamicbank–customersand125conventionalbankcustomersweresurveyed.Thestudyemployedtwoindependentsampletests.Additionally,anexploratorystudywasconductedtosupportthequantitative analysis. ResultTheresultsshowthatIslamicbankcustomersuse–personalaswellasmarketinginformationsourcesmorein-tenselythanconventionalbankcustomers,althoughtheresultdifferenceswerenotsignificant.Specifically,customersofIslamicbanksusecertainpersonalresources(parentsandfriends)andmarketinginformation(marketers)intenselythancon-ventionalbankcustomers. ConclusionThestudyrevealedthatfriendsandparentsare–themostimportantinformationsourcesfortheselectionoftheIslamicbank.Inaddition,basedontheresourcesused,Islamicbankingcustomerscanbeclassifiedastraditionalandreligiouscommunities.Therefore,themosteffectivecustomercommunica-tionswillbethroughIslamicgroupssuchasIslamicsocialin-stitutionsandIslamiceducationalinstitutions.