Re-examining online customer experience to include purchase frequency and perceived risk

This research examines the important emerging area of online customer experience (OCE) using data collected from an online survey of frequent and infrequent online shoppers. The study examines a model of antecedents for cognitive and affective experiential states and their influence on outcomes, such as online shopping satisfaction and repurchase intentions. The model also examines the relationships between perceived risk, trust, satisfaction and repurchase intentions. Theoretically, the study provides a broader understanding of OCE, through insights into two shopper segments identified as being important in e-retailing. For managers, the study highlights areas of OCE and their implications for ongoing management of the online channel.     

Online grocery shopping: the impact of shopping frequency on perceived risk

Online grocery shopping has enjoyed strong growth and it is predicted this channel will continue to grow exponentially in the coming years. While online shopping has attracted an abundance of research interest, examinations of online grocery shopping behaviour are only now emerging. Shopping online for groceries differs considerably from general online shopping due to the perishability and variability of the product, and frequency of the shopping activity. Two salient gaps underpin this research into online grocery shopping. This study responds to calls to investigate the online shoppers’ experience in the context of online purchasing frequency. Second, this study examines the mediating effect of perceived risk between trust and online repurchase intention of groceries. An online survey was employed to collect data from shoppers who were recruited from a multi-channel grocery e-retailer’s database. The online survey, comprising 16 reflective validated scale items, was sent to 555 frequent and infrequent online grocery shoppers. Results find that while customer satisfaction predicts trust for both infrequent and frequent online grocery shoppers, perceived risk fully mediates the effect of trust on repurchase intentions for infrequent online grocery shoppers. Furthermore, path analysis reveals that the developed behavioural model is variant across both groups of shoppers. Theoretically, we provide a deeper understanding of the online customer experience, while gaining insight into two shopper segments identified as being important to grocery e-retailers. For managers, this study tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk in grocery e-retailing, regardless of purchase frequency or experience.     

E-lifestyles of Indian online shoppers: A scale validation

Online shopping in India is growing at a dramatic rate and marketers are still working on understanding the lifestyles of online shoppers for purpose of segmentation, targeting and promotions. The scales for such requirements developed in other countries may not be apt for use in India. Hence there is a need to develop appropriate scales applicable in the Indian context. By way of review of the previous literature as well as exploratory study through interviews and focus group with online shoppers and experts in the field, the authors develop a pool of items relating to electronic lifestyles, henceforth called e-lifestyles of Indian online shoppers. Further using exploratory as well as confirmatory factor analysis, reliability and validity of the scale is confirmed and a six factor scale consisting of e-enjoyment, e-distrust, e-self-inefficacy, e-logistic concerns, e-negative beliefs and e-offers is developed. The study is a first step towards identifying a more holistic picture of factors that influence Indian online shopper lifestyles or e-lifestyles. The findings of this study can be integrated into marketing and promotional strategies of the web retailers.     

Consumer Shopping Styles and Online Shopping: An Empirical Study of Indian Consumers

ABSTRACT

The generalizability and applicability of the Consumer Shopping Inventory (CSI) scale on Indian sample in predicting online shopping behavior was examined. CSI scale has been adapted by researchers to validate its applicability in different countries. Results revealed new factors and different segments of consumers were identified by factor analysis. The findings posit that the original U.S. eight-factor model could not be confirmed completely on Indian sample. However, the study found support for five factors: quality-conscious shopper, fashion-conscious shopper, uninterested shopper, impulsive shopper, and brand-conscious shopper. Online shopping behavior was categorized under convenience, information availability, and cost factors. Demographic factors do not influence consumers' decision to shop online. Consumers shopping online frequently and Impulsive shoppers are likely to look at convenience factor of online shopping. Information availability was important for fashion-conscious shoppers, consumers frequently shopping online, and impulsive shoppers. Brand-conscious shoppers and quality-conscious shoppers were not likely to purchase online.     

Exploring online customer experience: A systematic literature review and research agenda

This review aims to examine the latest research on online customer experience (OCE), which can be defined as consumer's cognitive, emotional, and behavioral response to interactions between customer and company occurring through digital channels (e.g., websites, social media, mobile apps). To achieve this, we utilized a hybrid review approach that incorporates quantitative bibliometric analysis and qualitative systematic literature review techniques. We identified publication trends, prominent authors and outlets, and the evolution of research themes based on 141 articles published since the last systematic review 11 years ago. Our framework-based review identified frequently studied antecedents, dimensions, and outcomes of OCE, and identified new themes related to m-commerce and augmented/virtual reality. We also identified gaps in the current literature and proposed 14 areas of future research using the TCM framework.     

Role of Shopping Values and Web Atmospherics in E-Satisfaction and Repurchase Intention

Expected to touch US$55 billion in 2016, the e-commerce market in India presents an unprecedented growth opportunity for retailers. Existing studies have identified factors influencing shoppers’ online behaviour pertaining to the developed economies. Hence, it becomes pertinent to validate these antecedents for the economies like India. The article addresses this gap by examining the role of shopping values and web atmospherics, on e-satisfaction of Indian shoppers. Using multiple regression analysis, it also examines the influence of e-satisfaction on repurchase intention. The findings suggest that effectiveness of information content has the most significant impact on e-satisfaction. Web entertainment, utilitarian values and web informativeness are the other influencing factors. Contrary to the earlier studies, this study didn’t find any influence of hedonic shopping values on shoppers’ satisfaction. Also, e-satisfaction was found to have a positive influence on repurchase intention of e-shoppers. The article suggests select strategies that can be adopted by e-retailers.     

Fast-Expanding “Online” Markets in South Korea and China: Are They Worth Pursuing?

The online shopping craze in South Korea has been ongoing for more than a decade, but in China, online shopping is experiencing tremendous growth, with 64 million additional shoppers per year. Consumers in Asia are among the world's most prolific online shoppers. This study compares the evolution, cycle, and stages of the online shopping markets in South Korea and China. Using the fast-expanding market model as an initial analytical framework and multiple case approach, we find that Chinese online shopping corresponds to the take-off stage of a successful cluster, in which significant opportunities are still present in Chinese Tier 3 and Tier 4 cities. Conversely, the South Korean online market is nearing saturation, though major foreign players are still entering this perceived lucrative marketplace. © 2016 Wiley Periodicals, Inc.     

Influence of demographics,psychographics, shopping orientation,mall shopping attitude and purchase patterns on mall patronage in India

Retail boom in India is generating considerable interest from within the country as well as abroad. This growth in retail has been fueled by the mushrooming of shopping malls across the country. Despite this very little is known about the characteristics of the Indian mall shoppers. Also of special interest is the behavior of heavy shoppers because regardless of the footfalls at the mall, if the money spent is low, the mall does not benefit. The purpose of this study, therefore, was to profile Indian mall consumers, identify characteristics differentiating the high rupee volume purchasers at the mall and to evolve a model that can help predict heavy rupee volume purchasers in a catchment.The results of this study, spanning eight cities of India and 3026 mall consumers, indicate that the heavy shoppers are significantly different from the other groups along multiple demographic and socio-economic variables, behavioral variables, attitude and shopping orientation. Additionally, the study contributes to literature by evolving a typology of shoppers. The model evolved using Discriminant Analysis was used to predict potential heavy and low rupee volume purchasers for a city of interest, where currently there are no malls.     

Commitment to Employees: Does It Help or Hinder Small Business Performance?

This study used a sample of 4,637 small businesses to test the relationship between organizational commitment to employees (OCE) and company performance. OCE was significant in all five of the performance models. The results of the employee productivity model revealed a significant positive relationship between OCE and company performance, suggesting that small businesses might be able to realize some benefit in employee productivity from OCE programs. In addition, results from the return on assets, return on sales, return on cashflow, and employee growth models indicated that some OCE programs might be more beneficial to small businesses than others. Potential antecedents of OCE were also examined. Company size, owner education, and gender of the owner had positive relationships with OCE. Partial support was also found for a positive relationship between owner experience and OCE. Differences in the results of this study compared to studies for larger corporations and suggestions for future research are also discussed.     

Drivers of E-store Patronage Intentions: Choice Overload,Internet Shopping Anxiety,and Impulse Purchase Tendency

The dotcom era has infused a rapid increase in the usage of e-commerce in India, making online shopping the new way of retailing. This study investigates online consumers’ e-store patronage intentions, specifically modeling the ties from broad dispositional traits including choice overload, Internet shopping anxiety, and impulse purchase tendency among online shoppers. Based on the responses of 243 online shoppers, the findings suggest that consumers’ e-store patronage has a positive relationship with choice overload such that availability of larger assortments online results in a higher possibility of consumers’ patronage toward such e-tailers. Choice overload in the online context was also found to positively influence consumers’ impulse purchase tendency and showed a positive effect on Internet shopping anxiety. Furthermore, results indicate that the impulse purchase tendency of online shoppers had a significant positive effect on e-store patronage intentions, while Internet shopping anxiety was found to negatively affect the patronage intentions of shoppers.     

The effects of shopping value on retail outcomes: a comparison between department stores and hypermarkets

Shopping in various retail formats involves both utilitarian and hedonic value. Taiwan residents shop at department stores and hypermarkets frequently, compared to other retailers. This study contrasts the differential effects of shopping value on retail outcomes in department stores and hypermarkets. The results support predicted relationships: (1) in the department store context, (a) hedonic shopping value perceived by shoppers is higher than utilitarian shopping value; (b) hedonic shopping value has a greater effect on satisfaction and word-of-mouth than utilitarian shopping value; and (2) in the hypermarket context, (a) utilitarian shopping value perceived by shoppers is higher than hedonic shopping value; (b) utilitarian shopping value has a greater effect on satisfaction and repatronage intentions than hedonic shopping value.     

Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes

The theoretical understanding of online shopping behavior has received much attention. Less focus has been given to the formation of the customer experience (CE) that results from online shopper interactions with e-retailers. This study develops and empirically tests a model of the relationship between antecedents and outcomes of online customer experience (OCE) within Internet shopping websites using an international sample. The study identifies and provides operational measures of these variables plus the cognitive and affective components of OCE. The paper makes contributions towards new knowledge and understanding of how e-retailers can provide effective online experiences for customers.     

Do Vendor Cues Influence Purchase Intention of Online Shoppers? An Empirical Study Using S-O-R Framework

The purpose of the current research is to understand the influence of vendor cues like brand reputation. Brand familiarity and offline presence on trust and attitude of online shoppers and consequently on online purchase intention. Data was collected through a web based survey. The findings of the study reported that vendor offline cues have a strong and positive impact on the online purchase intentions of the shoppers. Further, this study also contributed by proving that the trust has a strong relationship with purchase intention as compare to attitude.     

Understanding Indian Online Clothing Shopper Loyalty and Disloyalty: The Impact of E-Lifestyles and Website Quality

Understanding loyalty and disloyalty in conjunction can ensure comprehensive understanding of loyalty which is important for sustained profitability of online retailers. This study examines the simultaneous impact of consumer-related (e-lifestyles) and technology-related (website quality) dimensions on loyalty and disloyalty of Indian online clothing shoppers. Two survey-based samples of data were collected from 217 (Sample 1) and 644 (Sample 2) experienced online shoppers. Exploratory factor analysis and confirmatory factor analysis techniques were used to validate e-lifestyle (three dimensions) and website quality dimensions (four dimensions). Sample 2 was divided into loyal and disloyal groups (based on loyalty scores) which were subject to logistic regression. While both e-lifestyle and website quality dimensions are significant in discriminating between the loyal and disloyal groups, the effect of website quality dimensions is more pronounced with website visual-engagement having the highest positive impact on loyalty. The study draws on conclusions for marketers and suggestions for future research.     

Negative and positive customer shopping experience in an online context

Underpinned by the Bagozzi and Dholakia (1999) goal setting and striving framework this research firstly develops a negative online customer experience model after which regulatory focus theory is used to compare this model with a positive online customer experience model. Analysis of responses from 201 respondents in the first study shows service failure causes negative affective and cognitive experience and has an impact on dissatisfaction and negative word of mouth in the online retailing context. Moreover, results of a second study among 200 respondents indicates that while customer priority in a successful shopping context is affective experience, in a service failure the customer priority moves from an affective to a cognitive experience. Similarly, compared to cognitive experience, affective experience has a higher impact on customer satisfaction and positive word of mouth in a successful shopping context, while in an unsuccessful shopping context cognitive experience has higher impact on dissatisfaction and negative word of mouth. The findings of this study contribute to customer experience management in both successful and unsuccessful shopping situations.     

Does online relationship marketing enhance customer retention and cross-buying?

One characteristic of online consumer behavior is the low cost of searching for alternatives. Therefore, customer loyalty is more difficult to achieve in the online context than in the offline one. Although studies have discussed the effectiveness of relationship marketing, nearly all studies examining such constructs have been in the context of ‘offline’ consumer behavior. With regard to the ‘online’ context, the integration of Internet technology with the customer loyalty concept is rarely discussed in the relationship marketing literature. Furthermore, empirical research that integrates the actual purchase behavior of customer retention and cross-buying is relatively sparse. In response to this, the current study develops and empirically tests a model that examines the relations among relationship-bonding tactics, perceived relationship investment, perceived relationship quality, customer loyalty, customer retention, and cross-buying. Using survey data from 766 online customers of a securities corporation, the results demonstrate the effectiveness of relationship marketing as it positively influences online customers' perception, then their loyalty, and ultimately, their actual purchase behavior.     

The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?

More and more grocery retailers are becoming multi-channel retailers, as they are opening an online alternative next to their traditional offline supermarkets. While the number of multi-channel grocery shoppers is also expanding at a fast growth rate, there are still large differences in online shopping frequency, and as a result, in the levels of experience with buying in the online grocery channel. This study wants to (i) identify the underlying drivers of online store choice and (ii) explore if and how these drivers change when multi-channel shoppers gain online grocery shopping experience. We investigate this question with an online store choice model using purchase data of an extensive UK household panel over a two-year period, covering all multi-channel retailers in the grocery market. Our results show that multi-channel shoppers, at the start of online grocery shopping, tend to select the online store belonging to the same chain as their preferred offline store, especially when the online store is strongly integrated with the offline store in terms of assortment. When online grocery shopping experience increases, multi-channel shoppers’ focus shifts from a comparison within a chain across channels to a comparison across chains within the online channel, resulting in an increasing importance of online assortment attractiveness and online loyalty when choosing an online store.     

Comparing online and non‐online shoppers

A web‐based survey was completed by 130 faculty and staff from a university located in the south‐eastern United States. The purposes of this study were to investigate: (a) consumer characteristics related to online shopping; (b) benefits of online shopping as perceived by online shoppers; and (c) concerns about online shopping as perceived by non‐online shoppers. Responses were analysed using SPSS for tests of chi‐square. Findings suggest that the differences between online shoppers and non‐online shoppers correspond with Rogers’ 1 categories of adopters, and that the educational needs of consumers also differ based on their previous experience with online shopping.     

Electronic logistics service quality and repurchase intention in e-tailing: Catalytic role of shopping satisfaction,payment options,gender and returning experience

This paper empirically examines the mediating role of shopping satisfaction between electronic logistics service quality (e-LSQ) and repurchase intention. Further, this paper investigates the moderating role of gender, payment options, and returns or replacement experience on the link between e-LSQ and shopping satisfaction (and repurchase intention). Empirical data comprising 640 Indian online shoppers are analyzed with covariance-based structural equation modeling. The findings indicated that the condition of the shipment is the most crucial e-LSQ dimension and its linkage with shopping satisfaction varies across payment options, gender, and returning experience. The poor condition of the shipment might have triggered the returns in e-tailing in the Indian context. The findings will help e-tail managers design a robust logistics network to retain and win despondent customers.     

E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers

Customer satisfaction has emerged as one of the most important factors that guarantee the success of online store; it has been posited as a key stimulant of purchase, repurchase intentions and customer loyalty. A comprehensive review of the literature, theories and models have been carried out to propose the models for customer activation and customer retention. Five major factors that contributed to the success of an e-commerce store have been identified as: service quality, system quality, information quality, trust and net benefit. The research furthermore investigated the factors that influence the online customers repeat purchase intention on the basis of the Means End Chain theory (MEC) and Prospect theory. By hypothesising that a combination of both utilitarian value and hedonistic values are needed to affect the repeat purchase intention (loyalty) positively, Structural equation model has been presented on the primary data collected from the Indian online shoppers. Results indicate the e-retail success factors, which are very much critical for customer satisfaction. By increasing the utilitarian value and hedonistic values derived by the customers, customer satisfaction and hence the customers repeat purchase intention can be increased significantly.