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.

Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

This research aims to assess the current status of online trade relations between Kuwait and Portugal. To do so, we examine how firm managers from Portugal and Kuwait use online platforms to engage customers to enhance firm performance. A set of existing constructs was chosen (Online Experience, Customer Inspiration, Online Customer Engagement, Firm Performance, National Culture), which were included in a proposed model of structural equations, in order to assess the contribution of Online Experience and Customer inspiration to the current status of online trade relations (through Online Customer Engagement), and how these can be improved to the further development of e-commerce between the two countries.

Indonesia is currently intensifying its level of awareness of the importance of starting a business as an entrepreneur. How to respond to technological developments to help support the growth of a start-up entrepreneur. Usually before buying a product, customers always think of many factors that can influence their buying decisions in online shopping. The two factors that most influencing are, Discounts and Promotions, which can greatly determine people's purchase intention, before finally buying the product. The researcher begin research with the aim to understand whether these 2 factors are factors that really affect someone's buying interest before doing online shopping. For this study, information and data collected by the survey by using means of questionnaires. And it standard measurements using a 5-point Likert scale, and processed by IBM SPSS Statistics 25 program. In this study, it has been found that indeed these two factors, Discounts and Promotions, are both influential in encouraging someone's purchase intention in conducting online shopping transactions. We found that both factors are significant and influence each other. The results of this study expected to help broaden the horizons of buyers and sellers about the benefits of discounts and promotions in online shopping.

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.

In the era of digital retailing, consumer-empowering technologies greatly facilitate the dissemination of complaint messages. Consumer audiences, who view consumer complaints and the subsequent responses made by retailers, consider these messages as critical information sources for decision-making (Weitzl & Hutzinger, 2017). We argue that retailers can use two types of response strategies (warmth- vs. competence-related response) to regulate the information distributed online, and that these strategies may influence consumer audiences’ perceptions and subsequent attitudes and behaviors differently based on their different levels of power (Rucker, Galinsky, & Dubois, 2012). Two experimental studies using a 2 (retailer response: warmth vs. competence) X 2 (audience power: low vs. high) between-subjects design were conducted. Study 1 (N = 240) revealed an interactive effect of power and retailer response on perceived diagnosticity and perceived fairness; and Study 2 (N = 233) showed that the significant moderated mediation for audiences’ perceptions on the relationship between retailer response X audience power and outcome variables. Theoretically, this study enriches the consumer complaint management literature from the perspective of consumer audience. It also sheds light on the power theory by validating its notion in the context of service failure and recovery. Practically, results demonstrate how retailers can effectively respond to negative consumer reviews to maintain customer relationship management with consumer audiences in digital age.

With the development of e-commerce, firms have now a greater interest than before in investing in intangible assets, especially their e-reputation. The literature review shows that studies in the field of e-reputation are still limited. Furthermore, existing studies (e.g. Walsh et al., 2009) tend to focus on antecedents and consequences of reputation that are associated with the offline context, but do not analyze variables related to e-consumer behavior. The objectives of this paper are hence twofold: (1) examining the dimensions of the customer-based online reputation; (2) introducing a causal model that associates online reputation with some key antecedents and consequences. Our results show that a high level of trust positively impacts the online reputation. The same is true for heritage, but with less impact, maybe because the online commerce is relatively new, and e-commerce websites do not have a heritage yet compared to well-established brick and mortar companies. In terms of consequences, a favorable reputation increases the customer commitment toward the website, meaning that online customers will have a higher desire to maintain this valued relationship. In addition, the positive influence on WOM is very important especially in our digital era where brand choices and personal influences are increasingly taking place online. As for the measure of e-reputation, our results confirm that it can be assessed through 8 specific factors: Customer orientation, Reliable Delivery, Innovativity and Singularity, High Standard Offerings, Price, Social and Environmental Responsibility, Good employer, and Financially Strong Company. From an operational point of view, the customer-based e-reputation scale could be used repeatedly as a barometer enabling to periodically asses the e-reputation of diverse online companies. Our results also point out some potential managerial implications as far as improving customer-based online reputation is concerned. From the perspective of antecedents, increasing trust should be the choice in order to improve online reputation. With regards to the consequences, online reputation is a significant indicator of customer commitment to the website and spreading a positive word-of-mouth. Hence, and in order to have a positive e-WOM, managers should focus on enhancing their online reputation.

An increasing number of Internet users use hotel booking websites and online travel agencies to arrange trips and search for information related to their travels. This study investigates the impact of customer engagement on user perceptions of the quality and value of an online hotel-booking website, as well as whether such perceptions further influence user trust in online websites (eTrust) and result in behavioral intention of eLoyalty. The empirical results of structural equation modeling analysis of 400 questionnaire results collected in Taiwan reveal that customer engagement has a positive impact on perceived website quality (i.e., usability, ease of use, entertainment, and complementarity), which in turn influences perceived value. The results do not show a direct impact from customer engagement on perceived value. Finally, the results verify that eTrust mediates the relationship between consumers’ perceived website quality and behavioral intention of eLoyalty toward an online hotel-booking website; eTrust also mediates the relationship between consumers’ perceived value and behavioral intention of eLoyalty toward an online hotel-booking website. The findings provide both academic researchers and practitioners with a better understanding of customer engagement and facilitate development of more effective customer engagement strategies for online booking platforms.

As information technology advanced, customers’ service consumption process heavily shifted to the online environment, particularly social media and mobile. A new topic, customer engagement, has emerged along with the fast advancement of social media. Customer engagement refers to a type of customer behavior that is beyond purchase such as spreading word-of-mouth, providing recommendations to family and friends, interacting with fellow customers, and writing online reviews (Bijmolt et al., 2010; Verhoef, Reinartz, & Krafft, 2010). This study introduces the Flow theory, which is especially important to understand consumers’ online experiences, with the intention to shed light on how to better engage consumers in the hospitality industry (Bilgihan, Okumus, Nusair, & Bujisic, 2014; Hoffman & Novak, 2009). The purpose of this study is to examine the antecedents of flow and further investigate its influence on positive attitude and continuance intention among restaurant social media users. This study specifically examines restaurant customers who use social media through their smart phones in searching information and sharing experiences with others. A self-administered questionnaire was developed and a Structure equational modeling (SEM) was employed to test the proposed hypotheses. Study results support the hypotheses, indicating the importance of creating flow to increase customer engagement. Academically, this study contributes to the limited body of literature on flow experience and customer engagement in the hospitality context. Additionally, it provides practical insights for hospitality marketers on how to gain competitive advantages by strategically managing customer engagement on social media marketing through flow.

This study builds on prevalent approaches of extending the applications of importance performance analysis (IPA) tool. Thus, we analyse the influence of Performance expectancy on Customer Satisfaction. The instruments employed were adapted from previous studies and pilot tested with a group of master students to verify clarity of meaning and comprehension. Findings reveal the stronger influence of three factor that emerge from performance expectancy: Usability, Reliability, Information Quality.

The goal of this study is to get a better understanding of the relationship between online customer reviews (OCRs), product returns and sales after returns in online fashion. Furthermore, we generate deeper insights about the moderating role of mobile shopping usage, product involvement and brand equity in this context. We answer our research questions by empirically analyzing a unique data set from a European fashion e-commerce company. This study links a wide range of transaction data (2.5 billion page clicks, 46 thousand different products, 700 brands, 40 product categories, 72 million sold and 33 million returned items) with a large set of OCRs (0.9 million). Our results show that positive OCRs can lead to higher sales, lower returns, and better conversion rates. Considering higher search costs on mobile devices, we reveal a weaker impact of OCRs in the mobile than in the desktop sales channel. Furthermore, in line with involvement theory, we see a significant impact of product involvement in this context such as the influence of positive OCRs is stronger for high-involvement products than vice versa. Moreover, we find strong support for statements from brand signaling literature, that OCRs matter more for weak than for strong brands.

E-commerce is a global phenomenon that reshapes retailing and the appropriate multinational corporations. The goal of this study is to get a better understanding of the relationship between online customer reviews (OCRs), sales and sales after returns in the cross-national and cross-cultural context. We discuss our hypotheses by empirically analyzing a large and unique data set from a European fashion e-commerce company. This study links a wide range of transaction data (0.8 billion page clicks, 17 thousand different products, 499 brands, 50 product categories, 22 million sold and 11 million returned items) from six different countries (Austria, France, Germany, Italy, Netherlands, Poland) with a large set of OCRs (0.7 million). Our results show that positive OCRs can lead to higher sales and sales after returns with considerable cross-country differences. We argue that differences in culture provide a substantial explanation for these effects by using Hofstede's cultural framework.

The Internet is considered as a competitive marketing instrument in advancing business-related information and real-time transaction opportunities (Kumar, 2013). Several brand managers are questioning whether the existent marketing approaches to position their brands, with the purpose to operate in a traditional and online setting, may be enhanced (Liu, 2012). The Internet is recognized as an influential instrument that has changed the manner brands conduct business and the way consumers and businesses interact (Boyland et al., 2013). The distinctive value that the Internet offers over conventional media is the capacity to interact with consumers. This permits practitioners to adjust their presentation to adapt specific consumers’ needs. Contrary to other forms of media, the Internet assists companies to create long-term relationships with its consumers as it allows a distinctive reciprocal communication. This reciprocal communication that distinguishes the latest marketing channels from conventional media is website interactivity (Wang et al., 2013). a mechanized environment the same way as a company does in a traditional environment. It includes communicating with consumers directly, generating an exclusive and individual interaction with them. As a central aspect in technology-mediated communication, Website interactivity has been identified as a critical component to create strong brands (Voorveld et al., 2013). Regardless of the significance of Website interactivity, very limited research was identified in the branding and marketing literature that investigate the influential role of interactivity on brand equity. To this date very few researchers have devoted efforts to investigate the influential impact of Website interactivity on branding constructs. Therefore, this study closes this gap with the conceptualization and the impact of the two dimensions of Website interactivity namely social interactivity and system interactivity on brand equity. Additionally, another contribution is to examine the mediating effect of brand image and brand awareness in the formation of brand equity in the online environment. The study propose a theory-based model of Website interactivity as a precursor to build online brand equity and to examine the relationships among Website interactivity, bran image, brand awareness, and brand equity in the context of branded Websites. Leaning on the fundamentals of branding literature and the Website interactivity theory, a theoretical framework is designed and seven hypotheses are examined. A two-phase analysis is considered, first a Confirmatory factor analysis (CFA) and then a Structural Equation Modeling (SEM). The findings show that the dimensions of Website interactivity impact significantly on the brand awareness and brand image which in turn influence online brand equity. As today limited research has been focused on studying the impact of Website interactivity as a branding instrument. In this study, the authors consider Website interactivity to be the interaction between Websites and individuals. In this sense, Website interactivity is viewed as an essential high-tech capability for building brands (Voorveld et al., 2013) as it allows a reciprocal communication with the system and other users. Current literature indicates that for a more real illustration of the dual dimensions of Website interactivity, studies devote user control as an expression of system interactivity and two-way communication as an expression of social interactivity (Wang et al., 2013). Two-way communication (social interactivity) refers to reciprocal communication between individuals. The dimension is perceived as the interaction between the users and the system (e.g. Website) (e.g. through e-mail, chat or toll-free telephone access to customer service, etc.). The user control (system interactivity) perspective is more concerned with the ability of the user to select content and guide the interaction (Lowry et al., 2006). User control is manifested when individuals are granted the opportunity to select the content and influence the communication. For instance, Web users may feel themselves as possessing user control because they have the capacity to select without restrictions (through an internal search engine).

As social media platforms (e.g., Facebook) and related online communication channels (e.g., review websites and community forums) grow in quantity and commercial orientation, marketing practitioners and scholars alike have recognised the importance of understanding and influencing online consumer communication processes. Specifically, it is suggested that online opinion leaders (‘Epinion leaders’) can be utilised as a target group to manage negative e-word-of-mouth (‘e-WOM’) and e-complaints. This study identifies and targets Epinion leaders and explores three central personality characteristics – altruism, self-confidence and the need for uniqueness – as a means of understanding Epinion leaders’ motivations to communication and tailoring corporate communication campaigns. The study focusses herby on the rapidly growing and increasingly influential 50-years+ e-commerce segment (i.e., ‘silver surfers’). Based on an online survey of 1,700 e-consumers aged 50 years and older, the proposed structural equation model verifies the positive influence of Epinion leadership on the propensity to spread negative e-WOM and e-complaints while demonstrating the applicability of personality characteristics as means of influencing consumers’ online communication strategies. The findings demonstrate that addressing consumers’ self-confidence can be an essential way of reducing negative e-WOM and encouraging e-complaints, which show opposing effects on customer satisfaction. For practitioners, this study emphasises the usefulness of negative Epinion leaders as a target group and recommends fostering consumers’ self-confidence in order to prevent negative online opinion-cascades and increase overall satisfaction.

본 연구에서는 온라인 쇼핑몰 상황에서 이전사업경험, 제품속성과 온라인 고객 의견이 신제품 매출성과에 미친 영향을 살펴보았다. 인터넷 쇼핑몰에서 제품 성과에 대한 연 구들은 선진국 온라인 쇼핑몰을 중심으로 고객들의 구전효과에 초점을 두고 연구를 진행해 왔으며 상대적으로 기업특성이나 제품속성에 대한 연구는 미흡하였다. 본 연구에서는 중국 인터넷 쇼핑몰에서 판매중인 총 407개 TV모델들을 대상으로 기업특성, 제품속성 및 온라인 고객의견이 제품 매출성과에 미친 영향을 살펴보았다. 기업특성에서는 이전TV제조업체들의 제품이 신규 진입기업들의 제품들보다 매출성과가 높았다. 제품속성에서는 경쟁제품 대비 초기 가격수준이 낮을수록 성과가 높으며 가격할인율이 높은 경우에는 오히려 매출성과가 낮았다. 전반적인 제품의 기술경쟁력 수준이 높을수록 판매성과가 높으며 신기능의 특성에 따라 매출성과에 미친 효과는 다르게 나타났다. 제품별 온라인 고객평가 의견수가 많을수록 해당 제품의 매출성과는 높은 것으로 나타난 반면, 온라인 고객평가 점수는 매출성과에 유의 한 영향관계나 나타나지 않았다. 본 연구에서는 온라인 쇼핑몰 상황에서 신제품 매출성과 향 상을 위한 이론적 실무적 의의를 제시하고 향후 연구과제들을 제시하였다.

Impacts of Relationship value on Loyalty of Online Group-Buying Customer in China With the development of e-commerce industry, online group-buying pattern has been one of the most popular online shopping patterns in China. Although the online group-buying platform has a large number of consumers, the consumer loyalty to specific online group-buying platform is low. For this phenomenon, scholars usually studied from the perspective of factors which influenced consumer behavior intentions. However, few studies focus on the component and measuring of relational benefits in the process of group-buying. Based on the perspective of consumers, this paper studied the relational benefits between consumers and online group-buying platform, and the perceived benefits of consumers who are in different relationship life cycle.This paper used SPSS to test the reliability and validity of data and carried some discussions about research model through factor analysis and regression analysis. The results indicated that relational benefits were significantly related to customer loyalty, that relationship quality and relationship life cycle was considered as mediator and moderator, respectively. Further, we made some management recommendations for operators in the online group-buying platform.