Online loyalty and its interaction with switching barriers

The results of empirical research on online retail switching tendencies is quite mixed and only a few have specifically examined the presence, frequency or impact of switching barriers and switching inducements in the context of online services. Empirical evidence shows that there is “stickiness to certain sites” experienced by online customers and that they do less comparative shopping than might be expected. This paper conceptualises online switching behaviour as the interaction of barriers and inducements (both real and perceived) using Oliver׳s four-stage loyalty model. It also highlights the need to re-examine the concept of online loyalty and its interaction with switching barriers and inducements in the online context.     

Analysing reviews in the Web 2.0: Small and medium hotels in Portugal

This study presents a characterisation of online reviews for small and medium hotels (SMH) in Portugal. We collected and analysed 1500 online reviews from 50 SMH. The findings show that room, staff and location were the concepts most frequently appeared in the reviews, with cleanliness, friendliness, helpfulness, and centrality of position the terms most frequently used to qualify the concepts. This study points out the main features which SMH managers should prioritize.     

On the interplay between environmental reporting and management accounting change

This paper investigates how environmental reporting (ER) and environment-related management accounting (EMA) practices may interact in the process of responding to disturbances of the natural environment (e.g., changes in environmental regulation, green consumerism, societal pressures for environmentally-responsible conduct). Based on data gathered in four Belgian case companies, we find that the emergence of an interplay between ER and EMA practices is related to the change pathways followed by these disturbances. Moreover, the strength of the environmental disturbances, top management commitment and the presence of an environmental champion are important contingent factors in understanding the development of a recursive relationship. Finally, the findings illustrate that an interplay between ER and EMA practices has the potential to foster or stifle organizational greening.     

Peer Effects among Swimmers

We develop a novel identification strategy and examine various aspects of peer effects using swimming data. We find that the performance of adjacent competitors positively influences swimmers' performances. In particular, swimmers are influenced by slower‐lane peers, suggesting that being chased improves one's performance. We use absenteeism data to directly compare the performances of swimmers with and without peers. We have found that swimmers swim faster with peers swimming behind them than when swimming alone, but that they swim slower with peers swimming ahead. Finally, we find that observability is a key determinant of peer effects, by comparing freestyle and backstroke competitions.     

Spread of E-commerce,prices and inflation dynamics: Evidence from online price big data in Korea

The so-called Amazon effect is generally defined as such that the increasing competition in the online market and between online and traditional retailers is reducing retail markups and putting downward pressure on prices. This paper investigates the existence of the Amazon effect using online price big data in Korea where e-commerce has been rapidly spreading. For this task, the direct comparison between the online and offline prices were conducted in terms of the levels, trends, inflations, and dynamic correlations for two prices. Online prices for products were collected and classified under the identical classification in the CPI for 14 items in two divisions: food and non-alcoholic beverages and clothing and footwear. Laspeyres formula with identical weights as for the CPIs was applied to compilation of the item- and division-level OPIs (online price indexes) from July 2018 to June 2019. The empirical analyses overall indicated that persistent decreasing trends in the online prices were found when compared to those in the offline prices represented by the CPIs, indicating the existence of the Amazon effect in Korea. More specifically, the OPI covering two divisions decreased by 1.8%, while the CPI increased by 3.6% for the period. In addition, the close dynamic correlations between on-month inflations of two indexes were also found in panel regression and VAR estimations, indicating that a 1% increasing shock to OPI inflation led to an around 0.3% increasing response in the CPI inflation. The dynamic correlations, however, were quite different across the divisions. Those were more pronounced for the division of food and non-alcoholic beverages while they were found little in the division of clothing and footwear.     

We Eat First with Our (Digital) Eyes: Enhancing Mental Simulation of Eating Experiences via Visual-Enabling Technologies

This research examines how consumers’ intentions to purchase food change depending on the visualisation mode (3D vs. AR) and product format (served vs. packaged). In three studies, we demonstrate that mental simulation of eating experiences (process and outcome) mediate these effects. Study 1 shows that AR visualisation of a served food improves simulation of the eating process over 3D visualisation, with a positive effect on purchase intention. Study 2 reveals that 3D visualisation improves purchase intention for packaged products (high instrumental properties) over served products (low instrumental properties) while the opposite is true for AR visualisation. In addition, interactivity and immersion mediate the effects of 3D (vs. AR) on mental simulation of the eating process for packaged products. Study 3 extends these results by showing that 3D increases purchase intention by eliciting mental simulation of the eating outcome, when the food is visible due to transparent (vs. opaque) packaging (displaying both sensory and instrumental properties), but that no such differences emerge for AR. This research highlights the importance of using different visualisation modes to promote food depending on the product format. The findings have important implications for both offline and online retailers.     

Drivers of consumer adoption of e-Commerce: A meta-analysis

E-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping has received keen attention and fueled a rich strand of studies. To help managers and researchers synthesize this growing body of evidence, we conducted a comprehensive meta-analysis to unearth the factors that influence consumers’ online shopping. Our main takeaways reveal that the most important drivers of online shopping (a) conform to the TAM and TPB theories, in addition to (b) website characteristics and past experience. In particular, the multiple predictors are strongly related to online purchase intentions and purchase behavior, where attitude and convenience show the strongest impact. Furthermore, moderator analyses indicate that cultural traits have specific moderating effects on the links between purchase intention and some of its drivers. For instance, power distance and uncertainty avoidance have a positive effect, while individualism, indulgence and masculinity have a negative one. Finally, we apply meta-analytic structural equation modeling to test a conceptual framework including four groups of drivers (consumer–channel interactions, website characteristics, social influence, and consumer characteristics) and different aspects of online shopping. The findings provide valuable insights for online shopping research and practice.     

Status reinforcing: Unintended rating bias on online shopping platforms

Online shopping platforms have gradually begun to use hierarchical loyalty programs to distinguish customers. Previous studies have focused mainly on the effect of such programs on loyalty and repurchase behavior, and little is known about how customer statuses in hierarchical loyalty programs affect their online product evaluations. Drawing on social status and social conformity theory, this study investigates the impact of customer status on the valence of online reviews. An instrumental variable is proposed to address the endogeneity issue. The results show that a customer's need for status leads to a negative rating bias when leaving online reviews. At the same time, people encounter social pressure from crowds. The need for social conformity can alleviate such rating bias. This study contributes to the understanding of the effect of social status on post-purchase behavior and provides practical implications for both managers and platforms.     

What drives product involvement and satisfaction with OFDs amid COVID-19?

Online food delivery services (OFDs) have gained the attention of researchers due to the rapid growth of society. With COVID-19 wreaking havoc on markets worldwide, it compelled retailers and service providers to adjust their way of doing business drastically. OFD's emerged as an option either due to consumers' inability to cook, fear of exposure to Covid if they leave the house, monotony of eating home-cooked meals, and safety measures practiced by them. Hence, during this pandemic, the OFDs created a win-win situation for restaurant owners and consumers. However, the current literature does not clearly picture the factors influencing customers' behavioural intentions while using hospitality services in the wake of the COVID-19 pandemic. The primary objective of our study is to understand the factors influencing customer satisfaction during the pandemic. In addition, explore the mediating role of consumer resilience and consumer attitude to strengthen the relationship between product involvement and customer satisfaction in the OFDs context. We have used the social cognitive theory as the theoretical framework for framing our hypotheses. The present study focuses on Indian consumers who have used OFDs during the pandemic. We employed a cross-sectional survey method to test the proposed research model. Two hundred forty valid questionnaires were collected to empirically test the research model using tools like confirmatory factor analysis (CFA) using AMOS-28, direct and indirect relationships were tested using SPSS PROCESS macro. The results indicate that all the proposed hypotheses were supported. Theoretical and Practical implications of the study along with limitations are discussed.     

Post-script—Retail forecasting: Research and practice

This note updates the 2019 review article “Retail forecasting: Research and practice” in the context of the COVID-19 pandemic and the substantial new research on machine-learning algorithms, when applied to retail. It offers new conclusions and challenges for both research and practice in retail demand forecasting.