Measurement of factors influencing online shopper buying decisions: A scale development and validation

The paper attempts to develop an ‘Online Susceptibility Scale’ (OSS) by focusing on the factors that influence shopper buying decisions in an online environment as they are not adequately addressed in the literature. The proposed scale supports the understanding of the impact of online information which leads to consumer decisions. The study involves qualitative and quantitative studies to develop the scale. Eleven items are identified for the scale development which were borrowed from literature and modified through focus group discussions. Exploratory Factor Analysis (EFA) resulted in three factor groups: Evidential online influence (five items), Confirmational online influence (three items), and Experiential online influence (three items). Confirmatory Factor Analysis (CFA) has validated the factor structure. Results indicate that the three factors explaining online information sources have a significant impact during buyer purchase decision-making. The study relates ‘Online Susceptibility Scale’ (OSS) to online retailers for exploring the online shopping influences, thereby managing their campaigns accordingly. Managerial and theoretical implications of this new scale are discussed.     

Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables

This paper examines individuals' choice of in-store and online grocery shopping channels using stated preference (SP) choice experiments. The study uses 1,391 records from a stated preference choice experiment in the Greater Toronto Area (GTA), Canada. It applies a Semi-Compensatory Independent Availability Logit (SCIAL) Model with latent variables. The methodology accounts for semi-compensatory choice behaviour through probabilistic choice set formation considering effects from socioeconomic and psychological variables. This study demonstrates the advantage of considering probabilistic choice set formation and semi-compensatory behaviour in modelling the adoption of innovative products. Empirical results reveal that shoppers demonstrated similar myopic behaviours once they firmly considered in-store grocery and subscribed free delivery services in their choice sets. They are equally likely to choose both channels without careful comparison to alternative channels once they firmly consider both channels in the choice set. However, considering the latter in choice sets is much costlier than in-store shopping. Therefore, in-store grocery shopping will still dominate the grocery shopping channel unless all home delivery services become free. Moreover, grocery shoppers value same-day delivery service. For typical delivery services charged between $4 and $20 in the GTA, Canada, grocery shoppers are willing to pay between $3.91 and $8.44 for same-day delivery. The latent variable describing shoppers’ perceived pandemic fear significantly contributes to the choice set inclusion probability of in-store grocery pick-up services, but the effect is not significant for other home delivery channels. This highlights heterogeneity in grocery shoppers' choice behaviour within the online channel.     

Low-carbon decision-making model of online shopping supply chain considering the O2O model

A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.     

Exploring the impact of different factors on brand equity and intention to take up online courses from e-Learning platforms

Understanding service branding from the customer perspective is helpful for various organizations to attain a competitive edge and build a strong customer base. This research work aims to evaluate the various dimensions and constructs that affect brand equity and user's willingness to undertake courses from various e-Learning providers. Data for the quantitative study was obtained using a questionnaire based survey. Analysis of the 378 responses reveals that consumer experience is a strong predictor of both brand meaning and customer satisfaction. Although brand meaning positively impacts brand equity, brand awareness demonstrates a negative effect on brand equity. However, brand equity and customer satisfaction have a significant and positive impact on intention to undertake courses from online learning platforms. The study concludes with discussion on different implications, shortcomings, and directions for future research.     

The influence of consumer decision‐making styles on online apparel consumption by college students

Apparel purchases now constitute one of the fastest‐growing segments of e‐commerce. Thus, there are strong theoretical and managerial reasons to better understand consumer characteristics associated with buying apparel online. This paper investigates motivations for online apparel consumption using the Consumer Styles Inventory. Data from a sample of 357 US college students showed that quality consciousness, brand consciousness, fashion consciousness, hedonistic shopping, impulsiveness and brand loyalty were positively correlated with online apparel shopping. Price sensitivity was negatively correlated with online spending.     

Understanding the role of situational factors on online grocery shopping among older adults

This paper seeks to identify the situational factors that drive the adoption of online grocery shopping among older adults. A two-step research process is employed. First, exploratory qualitative research is carried out to identify situational factors that older adults take into account when deciding whether to buy groceries online. This is followed by a conjoint experiment to determine which situational factors are considered most important when making such a decision. The sample consisted of 9 participants in the in-depth individual interviews and 206 respondents in the conjoint experiment. The findings indicate that health, mobility issues, and distance to a store are the most important situational factors driving older adults to buy groceries online. Moreover, the findings confirm that the adoption of online grocery shopping among older adults is a result of a complex trade-off of situational variables. The findings contribute to managerial practice by providing online grocery retailers with insight that can be applied when designing promotional programs targeted at older adults.     

The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity

Pandemic-related shocks have induced an unexpected volatility into the evolution of online sales, making it difficult for retailers to cope with frequently occurring, drastic changes in demand. Relying on a socio-technical approach, the purpose of this paper is to (a) offer a deeper insight into the driving forces of online sales during the pandemic, and (b) investigate whether pandemic-related shocks accelerate the long-term growth of online retail. Novel, high-frequency data on GPS-based population mobility and government stringency is used to demonstrate how time spent in residential areas and governmental restrictions drive the monthly evolution of online sales in 23 countries. We deconstruct these effects into three main phases: lure-in, lock-in, and phase-out. Lastly, using time series analysis, we show that the pandemic has induced a level shift into the long-term growth trend of the online retail sector in the majority of countries investigated.     

Retail formations: tracing the fluid forms of an online retailer

ABSTRACT

Change has often been said to characterise retailing, and research on retail change is extensive. However, though much of that research has focused on retail formats, it has not sufficiently addressed the fluid nature of retailing and how its formats emerge. This paper offers a more dynamic conceptualisation of retail format change by introducing the concept of retail formation. Taking a constructivist market studies approach and drawing upon an ethnographic study of a Swedish consumer electronics retailer, the paper shows how retail formations are continually being made in a dynamic process that can be initiated by various actors, does not necessarily follow a logical order, and commonly produces unexpected results. The concept of retail formation allows us to better understand the increasing fluidity of retailing enabling us to trace complex market processes, examine multiple actors simultaneously, and taking into account the socio-historical and socio-cultural dynamics involved in shaping retail markets.     

Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category

Online reviews, which significantly influence product sales, have been a central research topic in the field of marketing. Meanwhile, some motivating factors related to online retailers have been linked to product sales. While several articles have examined the impact between online reviews and motivating factors on product sales, many of the conclusions drawn are contradictory. From 28 studies focusing on online reviews and sales, this study performs a meta-analysis to analyze the true impacts of six review-related factors (i.e., the number of reviews, star ratings, standard deviation of ratings, helpfulness, review length and sentiment), and two motivating factors (i.e., price discounts and special shipping) on product sales. Meanwhile, this paper also studies how one product-related factor (i.e., product age) and one reviewer-related factor (i.e., reviewer's reputation) influence the relationship between online reviews and product sales. In addition, to study the moderating effect of product category, we divide the selected literature into two subgroups which are search and experience products. The results indicate that only review length and special shipping have no significant impact on product sales, while product category has a valid and specific moderating effect on the relationship between these determinants and sales. The presented conclusions will have important implications for academic research and for future industry practice.     

Exploring the drivers of customer engagement behaviours in social network brand communities: towards a customer-learning model

Customer learning is regarded as a process that alters either individual cognition or the outcomes of socialisation. Understanding how the learning process works enables a brand firm to identify a customer’s latent needs. Prior studies have primarily focused on effectively positioning brand knowledge in the minds of customers, but that linear learning process does not apply to the interactive and proactive social media setting. Based on the uses and gratifications perspective, this study proposes a customer-learning model and analyses 373 online questionnaires using partial least squares structural equation modelling. The empirical results confirm that learning motivation and collaborative learning are two core components of customer learning that have positive influences on satisfaction, which in turn has a positive influence on customer engagement behaviours (CEBs) and loyalty. In addition, learning motivation is the driver of collaborative learning. Finally, CEBs also have a positive influence on loyalty. This study also concludes that the social network brand community is an informative customer-learning platform that is characterised by interactivity, collaborative learning and co-creation. Theoretical and managerial implications are also discussed.