A cross-cultural analysis of ridesharing intentions and compliance with COVID-19 health guidelines: The roles of social trust,fear of COVID-19, and trust-in-God

Ridesharing services such as Uber and Lyft have been substantially affected by the ongoing COVID-19 pandemic. Drawing on social capital theory, the current research investigates how social trust relates to three types of trust in compliance with COVID-19 guidelines and consumers' ridesharing intentions. Analyzing data from two economically and culturally distinct countries, the results suggest that social trust positively affects trust in platform companies' compliance with COVID-19 guidelines (TPC), but not (or to a lesser extent) trust in drivers' (TDC) and other riders (TRC) compliance with COVID-19 guidelines in both the United States and Bangladesh. Importantly, TPC, TDC, and TRC are positively related with consumers' ridesharing intentions in the United States but not in Bangladesh. Furthermore, the analysis reveals two counterintuitive moderating effects of fear of COVID-19 and trust in God. The results provide important insights on factors affecting the ridesharing industry in the context of the COVID-19 pandemic, and they emphasize the importance of considering cultural context in understanding consumers’ intentions to engage in the sharing economy.     

Product bundling strategies in Swedish markets: links to business orientation and perceived effects on consumer influence

Product bundling is an increasingly important marketing strategy within many industries, and consumer influence on companies' ranges of product bundles is, thus, becoming an important issue. The aim of this study was to investigate product bundling strategies consumers are exposed to by some selected companies in the Swedish automobile, travel and banking industries. Bundling strategies were considered in relation to business orientation as well as the consumer's potential to influence the product bundles offered by these companies. Fourteen qualitative telephone interviews were conducted with senior representatives from the three sectors. Interview respondents were selected in cooperation with their respective companies. Results underwent interpretative analysis, and the findings indicated that business orientation is linked to product bundling techniques and to the type of customer influence on product bundling. Consumers were exposed to mixed and complementary bundling strategies, and customers of companies that apply a market orientation were found to have greater opportunities to influence product bundles directly, whereas companies that apply a production‐oriented approach were less able to respond to their customers' wishes. Consumer influence on the product bundles of production‐oriented companies was found to be of a more indirect nature.     

From selling to supporting – Leveraging mobile services in the context of food retailing

To safeguard their existence in the face of harsh competition, food retailers have shifting their attention from goods to service. In this development, mobile services have emerged as suitable venues for intensifying companies' service orientation. To address this phenomenon, the purpose of this study is to explore and analyze how mobile services are leveraged to serve customers better in the context of food retailing. With the help of 10 case examples the perspective is extended from food retailers' in-store activities to supporting customers' processes at the pre- and post-purchase stages. As a result, a tentative framework is suggested that captures the ways in which companies can use mobile services in their strategic quest to move from selling to supporting.     

The effect of a hotel's star-rating-based expectations of safety from the pandemic on during-stay experiences

As a result of the COVID-19 pandemic, safety is one of the top priorities for travellers when choosing a hotel. This work examines the effect of customers’ pre-stay expectations of a hotel about its safety-focused services, shaped through its official star-rating, on the during-stay confirmation of those expectations, satisfaction, and revisit intentions. A cross-sectional research design is used spanning temporally from the pre-stay to the during-stay phases. The pre-stay phase was the peak COVID-19 period in India (June–July 2021) to stimulate the safety concerns in the travellers planning their travel, while the during-stay phase was when the planned travel was undertaken with the traveller staying at the planned hotel (October 2021–January 2022). Data were collected from 452 customers and the results supported the proposed model. Further, the star-rating, as a signal for safety-focused services, was found to have a serial effect on revisit intentions, through the pre-stay expectations of safety services, and the during-stay confirmation of expectations and satisfaction.     

Social distancing and store choice in times of a pandemic

Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.     

Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality

User-Generated-Content (UGC) has gained increasing attention as an important indicator of business success in the tourism and hospitality sectors. Previous literature has analyzed travelers' satisfaction through quantitative approaches using questionnaire surveys. Another direction of research has explored the dimensions of satisfaction based on online customers' reviews using the machine learning approach. This study aims to present a new method that combines machine learning and survey-based approaches for customers' satisfaction analysis during the COVID-19 outbreak. In addition, we investigate the moderating role of service quality on the relationship between hotels' performance criteria and customers' satisfaction. To achieve this, the Latent Dirichlet Allocation (LDA) was used for textual data analysis, k-means was used for data segmentation, dimensionality reduction approach was used for the imputation of the missing values, and fuzzy rule-based was used for the prediction of satisfaction level. Following that, a survey-based approach was used to validate the research model by distributing the questionnaire and analyzing the collected data using the Structural Equation Modeling technique. The result of this research presents important contributions from the methodological and practical perspectives in the context of customers' satisfaction in tourism and hospitality during the COVID-19 outbreak. The outcomes of this research confirm the significant influence of the quality of services during the COVID-19 crisis on the relationship between hotel services and travellers’ satisfaction.     

The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19

The COVID-19 pandemic has disrupted the customers habits of purchasing as well as shopping behaviours. This study seeks to develop an integrated model of the critical role of trust and privacy concerns in influencing consumers purchase behaviour through social media. It also explored the moderating role of COVID-19 on these relationships. Quantitative data were collected using survey strategy through questionnaires to address different levels of the study. Our proposed model was tested with 1,200 consumers, 600 prior to COVID-19 and 600 during COVID-19. Partial Least Squares Structural Equation Modelling was conducted to assess the hypotheses. The findings revealed that purchase intention depends on trust and privacy concerns. Information quality, security concerns, ease of use, privacy/security assurance seal, and disposition to third party certification are the main drivers of trust and privacy concerns. Furthermore, our proposed model during COVID-19 period has higher explanator power (R2 = 0.741) than before COVID-19 period (R2 = 0.603 and consumers buying behaviour has been increased during COVID-19. The results offer important implications for retailers and are likely to stimulate further research in the area of purchase behaviour through social media.     

How do customers change their purchasing behaviors during the COVID-19 pandemic?

This study focuses on examining how customers' shopping behaviors have changed during the pandemic and contributing variables. Three primary shopping modes include online purchases, curbside pickup, and in-store shopping. The dependent variables are the changes in customers' spending in those three modes during the pandemic. The theory of fear appeal was used as the theoretical foundation for selecting independent variables. Based on this theory, two groups of independent variables were identified, fears for health and fears for financial conditions due to COVID-19. Additionally, demographic variables were also included in the analysis. The data from Census Bureau's Household Pulse Survey Phase 3.1 collected from June 23 to July 5, 2021, was used with 24,998 useable cases. Logistic regression was used to analyze the data to test the effects of independent variables on customers' shopping behavior changes in the three modes. The results show that both fears for health and fears for financial conditions have effects on the shopping behavioral changes. Due to those fears, residents change their shopping behaviors by considering the shopping modes that allow them to deal with or avoid the risks. Additionally, demographic variables, including age, gender, race, income, and marriage status, also have significant impacts on their shopping decisions.     

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.     

A Comparative Analysis of the Relative Importance of Service Quality for Two UK Grocery Retailers

This article identifies the relative importance of service quality across two grocery store formats. Research to date, indicates that within the grocery sector, customers expect value for money in terms of product quality, nutritional value and service quality. If these attributes are met in relation to the customers' perceived risk, it is more likely that customer satisfaction and retention will occur. In difficult competitive, social and economic circumstances, some sources indicate that there will be a trading down in customer shopping habits, with more customers expecting higher levels of service provision across a wider range of store formats, including the discounters. This study examines the relative importance of service quality for a quality-led retailer, compared to a discounter. Quantitative and qualitative research was carried out to obtain both a demand and supply–side perspective. Research findings demonstrate that despite the fact that consumer expectations are rising in relation to the overall shopping experience, distinctions in relation to customers' expectations between the levels of service provided across quality-led stores, compared to discounters, is still evident.     

Effects of face masks and photo tags on nonverbal communication in service encounters

Facial expressions convey critical information for customers to evaluate a service encounter. Widespread mask-wearing since the pandemic began has brought challenges in decoding individuals' facial expressions. This study investigates the effects of face masks on customers' interpretations of frontline employees’ facial expressions across retailing and healthcare service contexts. The findings show that mask-wearing improves customer perception of service employees and behavioral intention when the employees display neutral or negative emotions. Photo tags, as an additional nonverbal signal, can enhance the positive perceptions of masked employees. This research suggests that service companies could incorporate face masks and photo tags as a cost-effective practice to improve service encounters beyond the current pandemic.     

How managerial responses to online reviews affect customer satisfaction: An empirical study based on additional reviews

This study investigates the internality of managerial responses (MRs) to online reviews on the responded customers' (i.e., customers who have posted an initial review and then being responded by the company through an MR) satisfaction. By utilizing the data of additional reviews (ARs), an innovative social media module for customers to express follow-up opinions that complement their initial reviews, we examine the impact of MR treatment on the customers' AR valence. We leverage the insight that the observability of MR at the time of the responded customer posts an AR is a crucial condition to the impact of the MR, and thus regard the observability of MR as an exogenous treatment for model identification. Fixed effects models with extensive control variables are proposed to estimate the MR treatment effects. The results show that MRs have significant positive impacts on customers' satisfaction in ARs. Further explorations show that the positive impacts are mainly due to the positive effects of MRs on nonpositive initial reviews (MR-Ns), suggesting that MR-Ns are an effective management tool for customer complaints. Moreover, this study identifies MR delay as a boundary condition for the internality of MRs because MR delay negatively moderates the positive impacts of MRs. Therefore, companies should promptly respond to customers' negative opinions in their reviews. This study is among the very first to clearly identify the internality of MRs on the responded customers’ satisfaction. We show that the existing results on the externality of MRs are not directly applicable to the internality of MRs, highlighting the novelty of this study. The obtained new insights provide practical guidelines for companies to adjust their intervention strategies on e-commerce platforms.     

Panic buying in the COVID-19 pandemic: A multi-country examination

The global crisis of COVID-19 pandemic has ravaged the world economy and healthcare, igniting much fear, panic, and uncertainty among billions of people. As lockdowns being implemented in many places, panic buying has emerged as a reliable feature of the Coronavirus outbreak. Therefore, it is of urgent needs to examine consumers' panic buying behaviors during COVID-19 to gain a better understanding of the phenomenon and to provide managerial insights for policy-makers and marketers alike. In this study, under the theoretical guidelines of the Stimuli-Organism-Response model and the Competitive Arousal model, we investigate how in the panic situation created by the pandemic, external stimuli such as Limited Quantity Scarcity (LQS) and Limited Time Scarcity (LTS) affect the emotional arousal among people, which in turn influences consumers’ impulsive and obsessive buying behaviors. This study is conducted in a multi-country setting including the U.S., China, India, and Pakistan. Online surveys were conducted during the peak time of pandemic. Our findings show that LQS and LTS significantly increase perceived arousal in consumers, which further leads to more impulsive and obsessive buying. In addition, our results also reveal that excessive social media use intensifies the relationship between scarcity messages and perceived arousal whereas the urge to buy impulsively moderates the relationship between perceived arousal and behavioral outcomes in all selected countries except for India. Theoretical and managerial implications are discussed in details.     

Service worker appearance and the retail service encounter: the influence of gender and age

This study explores how the age and gender of service workers influence customers' perceptions of the retail service encounter in a health and beauty retailer. An analysis of qualitative interviews with 40 customers and 20 service workers suggests that customers seek reassurance in the service encounter by ‘matching’ and ‘mirroring’ the age and gender of customer-facing staff with their expectations of who should deliver appropriate service during the retail service encounter. These non-verbal cues, as a way of assessing the credibility of the service provider, are particularly important when customers are involved in high-involvement purchase occasions.     

The contribution of macroprudential policies to banks' resilience: Lessons from the systemic crises and the COVID-19 pandemic shock

This study examines the effectiveness of macroprudential policies in reducing the banks' risk during the COVID-19 pandemic and compares these results with the systemic banking crises years. Based on a sample of 624 banks across 40 countries during the period 2006–2020, we find that loosening capital-aimed macroprudential policies effectively reduced banks' risk during the COVID-19 pandemic, while this behavior led to increased risk during the systemic crises years. In contrast, tightening the remaining macroprudential policies during the systemic crises years and during the pandemic proved effective in reducing banks' risk. Furthermore, we show that the magnitude of the impact of macroprudential policies was stronger during the systemic crisis than that during the pandemic. Finally, we show that the results are driven by the capital requirement prudential policy, both during the systemic crisis and the COVID-19 pandemic, although the conservation buffer and the leverage limit also contributes to the ineffectiveness of these policies during the COVID-19 pandemic. The banks' leverage and loan growth also play an enhancing role of the effects of the macroprudential policies.     

Qualitative analysis of customer behavior in the retail industry during the COVID-19 pandemic: A word-cloud and sentiment analysis approach

The COVID-19 pandemic caused a paradigm shift in customer behavior within the retail industry. Pandemic-induced restrictions and fear of product scarcity led to a change in purchasing frequency, with customers stockpiling non-perishable products such as basic foods and hygiene items. Media and social networks also played a significant role in fueling panic-buying behavior. Although sales decreased, consumption in all food categories increased due to the closure of restaurants and the need to prepare meals at home. The pandemic had a significant impact on both customers and retailers, resulting in staff reductions and a change in business strategies.To explore how Romanian food retailers’ representatives responded to the COVID-19 pandemic and adjusted to changing consumer behavior, the authors employed a qualitative research approach based on an interview guide. The data collected were analyzed using the statistical software R. In data analysis with R, the choice of functions used depends on various factors, such as the type of data, research questions, and analysis methods. Generally, commonly used functions in R for data analysis include data cleaning and manipulation functions such as subset, merge, and transform, data visualization functions such as ggplot2, and statistical modeling functions such as lm and glm, resulting in world clouds and a sentiment analysis.The results show that to develop effective business strategies, qualitative analysis helps identify the root causes of these changes. Sentiment analysis can reveal how retail chains representatives perceived the safety measures implemented in stores, such as social distancing and mask-wearing mandates, and how these measures affected customers’ shopping behavior. It also sheds light on how customers shopped and whether they planned to continue using these methods post-pandemic. Understanding these insights is crucial for retail companies to adapt their operations and better serve their customers in the post-pandemic world.     

The Determinants of Retail Loyalty of Indian Consumers

This study investigated the influence of expectations and evaluation of functional and social attributes on Indian consumers' food retail loyalty. Structural equation modeling results indicate that social self-congruity is an important determinant of food store patronage in India. Food assortment and services are critical drivers of supermarket loyalty, whereas relative advantage is the only determinant of store loyalty among traditional food retail customers. Positive store experiences lead to increased store commitment and perception of greater relative advantage for traditional retail shoppers, whereas positive store experiences increase switching costs for supermarket customers. Implications for food market entry into India are presented.     

Customer desire expectations about service employees: An analysis of hierarchical relations

This article proposes a hierarchical model of customers' desire expectations about service employees, and of the motivations underlying the expectations. The model is based on recent developments in means–end chain theory. A paper-and-pencil laddering methodology is applied to collect data among 231 customers in Austria concerning their desire expectations about service employees of clothing stores. Additive tree and social network analyses reveal three orientations in customer desire expectations, covering the process, outcome, and relational aspects of service encounters. Meanings within orientations are mutually linked and hierarchically organized from desire expectations about specific service employees' behaviors, via customer goal attainments and feelings, to behavioral responses. Implications for service marketing theory and practice are offered. © 1998 John Wiley & Sons, Inc.     

Online shopping continuance after COVID-19: A comparison of Canada,Germany and the United States

The COVID-19 pandemic brought about an increase in online shopping because of government-imposed restrictions and consumer anxiety over the potential health risk associated with in-store shopping. By end of 2021, many health concerns had been alleviated through efforts such as vaccinations and reductions in hospitalizations in certain countries. Some governments started to relax their restrictions and consumers started to return to in-store shopping, creating the possibility that the volume of online shopping would decrease once stores reopened. However, consumers may continue to shop online more than they did prior to the pandemic because of their experience during the lockdown. This study seeks to understand the factors that explain the potential of online shopping continuance. A novel model is constructed by extending ES-QUAL, and adding hedonic motivation, social shopping and health susceptibility as mediators. Empirical data is collected from Canada, Germany and the US. We find that convenience and efficiency, as well as security for some females, are important factors contributing to online shopping's perceived usefulness and, ultimately, intentions to continue shopping online. In addition, creating an enjoyable online shopping experience adds to these continuance intentions.     

The role of social media in internet banking transition during COVID-19 pandemic: Using multiple methods and sources in qualitative research

Social distancing practices and staying at home have increased the time people spend on social media with the purpose of exchanging and consuming information about completing their routine practices safely. The Covid-19 pandemic has disrupted in-person banking operations and increased the physical threat for both retail bankers and customers. Consequently, the world has moved toward internet banking with the purpose to continue routine transactions for paying bills, purchasing groceries, and shopping of brands. The present study aims to explore how the fearful environment of Covid-19 pandemic increased the social practices of internet banking and what challenges are faced by different customers during their use of internet banking. By understanding these experiences, system developers and marketers can improve their internet banking apps to address the needs and expectations of different customers. The study has opted for a relativist ontological position and social constructionist epistemological position to understand different realities in the same context and how customers experience internet banking in a fearful environment. The study used multiple qualitative research methods: Gibbs reflection cycle, semi-structured interviews with internet banking users, and focus group interviews with executives of public and private sector banks. Social actors through social media played a role with respect to understanding the nature of uncertainty during Covid-19 pandemic that changed customers’ behavior from traditional banking to internet banking. Information was shared through social media to avoid ATMs, debit and credit card exchange with cashiers, and cash exchange as these are no longer safe options for both bankers and customers. The major theoretical contribution of this study is to merge social practice theory and affordance of technology theory in the context of internet banking adoption. This study has discussed practical implications for marketers and system developers of retail banks.