Store Reputation Research Articles

Detailed Study of Cultural Context Effects on Online Shopping Trust and Store Reputation

Online shopping allows consumers to save anytime, anywhere. However, cultural elements have a profound effect on consumer expectations and perceptions, affecting online shopping trust and in-keep popularity. Understanding these precise cultural factors is crucial to improve e-trade techniques and building consumer consideration. Consumers should buy products online, buying everywhere and anytime. However, purchaser expectancies and impressions are closely influenced by cultural context, affecting online purchasing self-assurance and in-save popularity. Gaining a higher expertise in these particular cultural aspects is critical to improving electronic-trade (e-trade) methods and triumphing over customers. The research looks at exploring the effect of cultural context on online popularity and considers the usage of Chi-Square tests, Two-Way Analysis of Variance (ANOVA), and regression analysis to apprehend purchaser behavior and perceptions.Two-way ANOVA results show Hypothesis 1 with the lowest p-value (0.0003) and highest F-value (8.00), representing a significant result. The Chi-square test highlights Hypotheses 2 (X² = 9.87) and H4 (X² = 12.34) as significant, while H1 (X² = 7.12) and H3 (X² = 4.56) are not. Regression analysis shows a strong correlation, especially trust shows a high correlation between attitude (0.828) and behavior (0.719), and attitude shows the strongest relationship with reputation (0.861). Integrating cultural context into online shopping strategies is critical to building trust, enhancing store reputation, and building stronger customer relationships, ultimately leading to global market success.

Factors determining shopping and selection of retail store outlets, A study

Retail business is in the limelight nowadays. Not only are their margins getting bigger but also are the sizes of the outlets. To intrude into the retail industry a questionnaire was designed wherein the following questions were asked. First of all the factors that drive customers to shop at certain and particular stores over others in the retail industry of Goa were looked into. Secondly, if there was any correlation between store digitization and consumer buying satisfaction. Thirdly, if there was any correlation between consumer buying behavior and brand loyalty. And lastly if there was any correlation between retail discount and consumer footfall. The findings were as follows: nearness to the residence was ranked number 1, followed by quality of the product, assortment of merchandise, ambience, discounts given and knowledgeable staff in the store. A low level of correlation existed between digitalization and consumer buying satisfaction, a high level of correlation existed between consumer buying behavior and brand loyalty and a high correlation existed between retail discount and store reputation.

A data sharing method for remote medical system based on federated distillation learning and consortium blockchain

With the development of Medical Internet of Things (MIoT) technology and the global COVID-19 pandemic, hospitals gain access to patients’ health data from remote wearable medical equipment. Federated learning (FL) addresses the difficulty of sharing data in remote medical systems. However, some key issues and challenges persist, such as heterogeneous health data stored in hospitals, which leads to high communication cost and low model accuracy. There are many approaches of federated distillation (FD) methods used to solve these problems, but FD is very vulnerable to poisoning attacks and requires a centralised server for aggregation, which is prone to single-node failure. To tackle this issue, we combine FD and blockchain to solve data sharing in remote medical system called FedRMD. FedRMD use reputation incentive to defend against poisoning attacks and store reputation values and soft labels of FD in Hyperledger Fabric. Experimenting on COVID-19 radiography and COVID-Chestxray datasets shows our method can reduce communication cost, and the performance is higher than FedAvg, FedDF, and FedGen. In addition, the reputation incentive can reduce the impact of poisoning attacks.

User Reputation on E-Commerce: Blockchain-Based Approaches

User trust is a fundamental issue in e-commerce. To address this problem, recommendation systems have been widely used in different application domains including social media healthcare, e-commerce, and others. In this paper, we present a systematic review of the literature in the area of blockchain-based reputation models and we discuss the obtained results, answering the initial research questions. These findings lead us to conclude that the existing systems are based on a trusted third party (TTP) to collect and store reputation data, which does not provide transparency on users’ reputation scores. In the recent literature, on the one hand, blockchain-based reputation systems have been highlighted as possible solutions to effectively provide the necessary transparency, as well as effective identity management. On the other hand, new challenges are posed in terms of user privacy and performance, due to the specific characteristics of the blockchain. According to the literature, two major approaches have been proposed based on public and permissioned blockchains. Each approach applies adjusted models for calculating reputation scores. Despite the undoubted advantages added by a blockchain, the problem is only partially solved since there is no effective way to prevent blockchain oracles from feeding the chain with false, unfair, or biased data. In our future work, we intend to explore the two approaches discussed in the literature in order to propose a new blockchain-based model for deriving user reputation scores.

Research on the impact of consumer forgiveness on consumer continuous trust

Online shopping has become an important part of people’s life, but the current academic circles still lack attention to online shopping service recovery. Based on the online shopping service recovery scenario, this study takes the scenario experiment as the research method, discusses the influence mechanism of consumer continuous trust from the perspective of compensation and consumer forgiveness, and tests the moderating effect of online store reputation. Through empirical research, this paper obtains the following research findings: Both utilitarian compensation and spiritual compensation have a positive impact on consumer forgiveness, but spiritual compensation has a greater positive impact on consumer forgiveness; consumer forgiveness has a positive impact on consumer continuous trust, and consumer forgiveness plays a mediating effect between utilitarian compensation, spiritual compensation and consumer continuous trust; online store reputation plays a positive moderating effect in the impact of consumer forgiveness on consumer continuous trust. The research results of this paper are conducive to deepen the research on the relationship between compensation methods and consumer forgiveness, better explain the role of consumer forgiveness, consumer continuous trust and online store reputation in the impact mechanism of online shopping service recovery, and promote the healthy development of online shopping business model.

The Influence of Empathy and Consumer Forgiveness on the Service Recovery Effect of Online Shopping.

The service failure of online shopping has always plagued online stores, but the current academic circles still need to explore the service recovery of online shopping from the perspective of empathy and consumer forgiveness. Based on the service failure cases of real online shopping, this article uses the method of situational experiment to carry out empirical research, discusses the impact mechanism of service recovery effect from the perspective of empathy and consumer forgiveness, and tests the moderating role of online store reputation. The results show that in the online shopping service recovery scenario, empathy has a positive impact on consumer forgiveness, consumer forgiveness has a positive impact on consumer repurchase intention, and consumer forgiveness plays a mediating effect between empathy and consumer repurchase intention. Online store reputation plays a moderating role in the relationship between consumer forgiveness and consumer repurchase intention. The research conclusion of this article will help to expand the application of empathy and consumer forgiveness in the research of service recovery, enrich the theory of online shopping service recovery, improve the effect of online shopping service recovery, and promote the healthy development of online shopping business models.

Shouting Abuse, Harmless Jolly, and Promiscuous Flattery: Considering the Contours of Sexual Harassment at Macy's Department Store, 1910–1915

Abstract As the white slavery scare peaked in the United States in the early 1910s, department stores consistently figured among the most menacing sites mentioned by muckrakers for corrupting women’s morals. Worried about the reputation of departments stores in general and Macy’s in particular, the Straus brothers commissioned an anti-vice association, the Committee of Fourteen, to investigate why shopgirls might “go wrong.” Three women went undercover at Macy’s and reported on their experiences as department store employees. Their collected reports exposed the micropolitics of power that made some departments difficult places for women to work. This article alternates between general discussions of department stores and their workplace culture and specific case studies detailing how two male managers abused their power and the limited ways in which women could respond.

The Effect of Store Image on Store Loyalty Mediated by Customer Satisfaction and Trust

Purpose: This study aims to identify the influence of store image on store loyalty in the context of the Bangladesh retail market. It also observes the mediating roles of trust and customer satisfaction on store image and store loyalty. Methods: This is a quantitative cross-sectional study based on survey data. Data were collected through a structured questionnaire. The study used a non-probability, convenience sampling technique. Responses from 534 supermarket shoppers were included for analysis. Partial Least Square (PLS) based Structural Equation Modeling (SEM) was used to analyze the data. Results: The results revealed that the store image has a direct relationship with store loyalty. The study also validates an indirect relationship between store image and store loyalty via customer satisfaction and trust. Implications: This paper contributes to the theoretical and practical knowledge to formulate effective retail marketing strategies which may affect customer loyalty. The results of the study also have a contribution to the overall development of the retailing industry of Bangladesh. Originality: This study envisioned a unique model considering the multi-dimensional hierarchical concept of store image and customer loyalty. Additionally, this study validated the intervening role of trust between store image and store loyalty which is a pioneering attempt in this regard. Limitations: The study would have been made more effective if other variables like service quality, store choice, purchase intention, store reputation affecting store loyalty, etc. were also included. In addition, the use of non-probability sampling (convenience sampling) also restricts the generalizability of the findings.

Consumers' trust in food safety indicators and cues: The case of Vietnam

Who consumers trust is crucial for the efficiency and sustainability of the market of safe food, especially in transitional economies. This paper empirically investigates the role of indicators and cues considered by consumers when purchasing safe vegetables. Safe vegetables are chosen as the subject of the study as they are typical credence goods: it is very hard for consumers to know whether or not the vegetables are safe, even after consumption. We employ the rank ordered logit model in an analysis on surveyed data. The sources of indicators and cues include: labeling, existence of the place of production, store's reputation, government certificate, information from friends, price, and appearance of the product. After controlling for factors such as education, age, income, gender, our results reveal that Vietnamese consumers trust supply side indicators the most, followed by government certification, while information from friends and others comes last. Further, different demographics have different attitudes towards their information source of choice. This result can be applied to other markets for credence goods with similar properties, such as organic vegetables, in transitional economies.

Why do online retailers succeed? The identification and prioritization of success factors for Indian fashion retailers

Abstract The exponential growth in online fashion retailing in India has brought several structural changes. Changing consumer needs and value propositions have made it imperative for online retailers to identify factors that are critical for its growth. The current study attempts to identify factors that influence consumers’ preference for online fashion retailers (OFR). The factors were identified and their weights were evaluated using the AHP methodology. Furthermore, the potential alternatives were ranked using VIKOR technique in R. Initially, 40 factors were identified, spread across 7 categories and in line with earlier research on online retail and views of retail experts from Indian online fashion retail sector. The analysis revealed that the category ‘webstore-image’ is most preferred and that the factors ‘online shop recognition’, ‘price’ and ‘reputation of stores’ were of importance. The study identified new factors that are important for the success and growth of online fashion retailing that are specific to India.

Understanding affective evaluation in retail: consumers perspective

PurposeThe purpose of this paper is to analyze the effect of the consumer’s emotional shopping experience on the perception of benefits and on the corporate reputation of a department store.Design/methodology/approachThis study was applied to a non-probabilistic sample survey proportionally distributed among the main department stores in Chile and Mexico.FindingsThe findings show for both countries that the functional and symbolic benefit perceived by consumers significantly influences the reputation of department stores. However, the hedonic benefit perceived by the consumer had a negative effect on the reputation of the store.Practical implicationsThe companies could redirect their marketing and commercial management strategies based on the variables and relationships of the model proposed in this study. For instance, managers should implement strategies to improve the emotional experience of their clients. In addition, future studies also could use other variables inherent to the consumer’s purchasing behavior to evaluate their effects on the corporate reputation of the department store.Originality/valueThis research contributes with the proposal of an explanatory model for decision making, using structural equations that suggest that the affective evaluation of the shopping experience is a key antecedent of the functional, hedonic and symbolic benefits perceived by the consumer. Moreover, the emotional experience plays a key role as an antecedent for the corporate reputation of a company.

Lojas on-line de materiais esportivos: fatores influentes na decisão de compra

The phenomenon of online shopping has already been widely explored by researchers in Brazil and worldwide. However, the online shopping for sports supplies still presents as a segment little explored in literature. This article aimed to investigate the factors that influence consumers to choose among online retailers specialized in sports goods. For this purpose, data were collected through a survey with a non-probabilistic sample, for convenience, of university consumers. The results indicate that the main factors that may influence the choice of these consumers are: site security, brand and / or store reputation, and price. These factors converge with evidence from other studies on online shopping behavior, suggesting that companies operating in this segment, or entrepreneurs wishing to enter the industry, should invest in the construction and strengthening of the brand and / or the site, have competitive prices, that deliver value to the consumer, while also providing a security structure in the digital purchasing platforms which is adequate to the needs of customers.

Pengaruh Jumlah Pengunjung, Ulasan Produk, Reputasi Toko Dan Status Gold Badge pada Penjualan Dalam Tokopedia

This study aims to find out the influence of some items in Tokopedia's product pages (product popularity, customer reviews, store reputation, and gold badges) toward sales. We were using quantitative as the research design, descriptive research analysis and correlation category. We collect data and tested it using the multiple regression analysis method with SPSS version 21. The results show that product review is the most important variable than other variables such as popularity, reputation, and gold merchants.
 Keywords : C2C, Marketplace, Online, Sales, Tokopedia

Apparel Customer Loyalty Determination using Retail Servqual and Store Reputation- A SEM Research

Customer loyalty is a buzzing word in this multifaceted business state of affairs. Deriving loyalty is not so effortless. Apparel sector is a trend oriented industry. Retail apparel sectors facing sturdy competition in the industry, however it remains healthy. The researcher wants to find out the responsible factors of apparel customer loyalty in Chennai city. Research gap The Researcher has validated the Dabholkar et al (2000) to derive the apparel customer loyalty as a outcome variable while store reputation serves as a mediating variable. Earlier studies concentrated on validating Retail service quality model on Apparel Customer Satisfaction. Methodology Selected Retail outlets were chosen and 276 samples was obtained using mall intercept method. Structural path was constructed by the researcher using Dabholkar et al (2000). Store Reputation is the mediating variable between loyalty and RSQL constructs. Findings The researcher found strong relation between Service quality constructs and loyalty while store reputation serves as a mediation variable. However store policy is having direct relationship with loyalty intention of the apparel customer.

How should online stores implement coping strategies to fight against deceptive promotions?

Abstract Deceptive promotions occur frequently, not only having negative impacts on the offending stores, but also affecting other online stores and the entire e-commerce platform. Existing research has not yet answered how online stores ought to respond. Through the scenario experimental method, this paper explores the effect of their coping strategies on consumer purchase intention, and investigates the moderating effect of store reputation and the mediating roles of psychological risk and promotion skepticism. The study found that after deceptive promotion occurs, the higher the reputation of a stores is, the higher consumers' purchasing intention will be. For such stores’ coping strategies, a segmentation strategy is best, a denial strategy is worse, and a silence strategy is least beneficial. Store reputation moderates the effect of coping strategies on purchase intention. For high-reputation online stores affected by another store’s deceptive promotion, in terms of the effect of online stores’ coping strategies on promoting purchase intention, a segmentation strategy and a denial strategy are superior to a silence strategy, and there is no difference between the segmentation and denial strategies. For low-reputation online stores in deceptive promotions, segmentation strategy is superior to a denial strategy and a silence strategy, and there is no difference between the denial and silence strategies. Psychological risk and promotion skepticism mediate the interaction effect of coping strategy and store reputation on purchase intention. The results of this study offer theoretical insights on customer responses in deceptive promotions and contribute managerial implications for practitioners.

Clustering Babyshop at Marketplace X with Cluster Ensemble based on Squeezer Algorithm

Marketplace is one of the most popular digital business in Indonesia. One of the category that grow in Marketplace X is shops that sell baby equipment or better known as babyshop. In order to provide the best service and keep the credibility of babyshop specialty shops, important to do qualitry monitoring on of them through clustering. Clustering based on store reputation assessment indicators consisting of variables that are categorical and numerical in scale. This study aims to classify babyshop on Marketplace X based on the characteristics of the store using cluster analysis with cluster ensemble based mixed data clustering (CEBMDC) based on the weigthed squeezer algorithm. This study use the stream data from 218 babyshop at Marketplace X which consists of service factors, reputation level, type and location of the babyshop. The optimal cluster results was into three clusters in which cluster one consists of 21% babyshop, cluster two 48% babyshop, and 31% babyshop at cluster three. The first cluster is a cluster with the tendency of the babyshop to be classified as good, the cluster two tend to have a normal (neutral) reputation, while members of cluster three has a for poor reputation.

Two Step Method for Clustering Mixed Data untuk Menggerombolkan Toko Mainan Anak Digital

The development of digital trading system today, triggering the proliferation of shops that sell various needs in various marketplace. This is supported by the large number of internet users in Indonesia that facilitate the store with commercial-based digital to reach market share. One of the growing categories in a marketplace is the stores that sell toys. However, not all toy stores have a good reputation. Clustering based on store reputation indicators can be done to find out how the condition of toy stores in a marketplace. The store reputation indicators used are categorical and numerical scale variables. This study uses A Two-Step Method for Mixed Categorical and Numerical Data (TMCM), which is a clustering method that can cluster mixed numerical and categorical data that using a co-occurence concept. The result of this clustering found that the optimal number of cluster is five cluster based on the maximum value of Pseudo-F and the minimum value of ratio (R ).

온라인 구매에서 소매점 명성이 소매점 태도에 미치는 영향 - 지각된 위험, 웹사이트 품질의 매개효과 -

온라인 구매에서 소매점 명성이 소매점 태도에 미치는 영향 - 지각된 위험, 웹사이트 품질의 매개효과 -

Factors differentiating between concentric and sprinkled multiple-patronage shoppers in Kuwait

Abstract Two types of hypermarket spenders with multi-patronage behavior were identified; namely, “Concentric” and “Sprinkled.” The objective of this study is to examine which of hypermarket store attributes differentiate between the two types of spenders, and to determine the differences of their demographic characteristics. Six store attributes including the depth of the product assortment, store services, location convenience, sales promotion, prices, and store reputation were examined. Also, five different demogrpaphics were tested including gender, nationality, marital status, education and monthly income.. A cross sectional design with an intercept survey was used. Three hundered cusdtomers were intercepted at diffeerent hypermarket store locations and asked to fill out the survey instrument. Two research hypotheses were tested using the survey data. The interpretation of the discriminant function showed that “concentric” spenders score quite high on store services, moderately on convenience and sales promotion, and low on prices. Both product assortment depth and store reputation were not important to the discriminant function interpretation. Results also indicated that only two demographics were significantly differentiating between the two types of spenders. Several recommendations were made based on the study findings to enable each hypermaqrket store in Kuwait to increase its share of a consumer’s wallet.

Predictors of customer acceptance of and resistance to smart technologies in the retail sector

In recent decades, rapid advances in Internet technology have led to numerous innovative smart technologies. This research investigates the customer acceptance of and resistance to smart technologies in the retail sector, by integrating the literature on technology acceptance model, system characteristics, technology readiness, and store reputation. Data were collected using a quantitative survey and analysed using symmetrical PLS path modelling and asymmetrical fuzzy set qualitative comparative analysis (fsQCA). Results show complex relationships among perceived technology readiness, perceived ease of use, perceived usefulness, superior functionality, perceived adaptiveness, and store reputation in determining customers’ attitudes and behavioural intentions towards smart retail technologies. The findings also show that technology readiness does not directly affect customer attitude but does indirectly through perceived innovation characteristics. The findings indicate that retail stores should focus on smart technologies that are simple, yet offer enhanced customer value through improved shopping efficiency. Findings also suggest that retail stores can engage in brand management strategies to improve customers’ acceptance of smart technologies.