Search results

This study sheds light on the differential impact of social media brand engagement on two distinct types of purchase intentions, i.e. online and physical, in the special context of the post-COVID-19 situation in Pakistan. It has shed light on the factor (trust in online purchases during COVID-19) that has shaped the post-pandemic purchasing attitude. The above-stated association is unlocked based on the mediating role of brand equity.

The people who followed the social media pages of major sellers (apparel, grocery, food items and medical supplies) in Pakistan were included as the target population. A time-lagged web-based survey method was employed to collect primary data which generated 308 responses. Quantitative data were analyzed using SPSS 26.0. After checks for validity and reliability, mediation and moderation analysis were run by Hayes PROCESS model 4 and 14 respectively.

Results show that brand equity mediates the relationship of social media engagement with both online and physical purchase intentions. Further, results confirm that trust in online purchases during COVID-19 19 weakens the relationship of social media engagement with physical purchase intentions but strengthens with online purchase intentions.

This study attempts to unveil the moderation of trust in online purchases during COVID-19 on the relationship of social media engagement with online and physical purchase intentions through the mediation of brand equity.

Online shopping around the world is growing exponentially, especially during the COVID-19 pandemic. This study aims to examine how an online customer's purchasing experience influences his/her buying intention and willingness to believe in fraud news, as well as the ripple impact of satisfaction and trust, with gender as a moderator in an emerging economy during COVID-19.

Based on the underpinning of the stimulus-organism-behavior-consequence (SOBC) theory, the research model was developed, and collected data from 259 respondents using convenience samples technique. Next, the data were analyzed using partial least squares-based structural equation modeling (PLS-SEM), SPSS (Statistical Package for the Social Sciences) and Hayes Process Macro.

The study results confirmed that the online shopping experience (OSE) has positive impact on customers' satisfaction (CS), purchase intention (PI) and customer trust (CT); CS has positive effects on trust toward online shopping and their future product PI; future product PI significantly affects customers' propensity to believe and act on fraud news (PBAFN). The finding also states that gender moderates the relationships of CS to PI, OSE to PI and PI to PBAFN, but doesn't moderate the CT to PI relationship.

The study findings will assist policymakers and online vendors to win customers' hearts and minds' through confirming satisfaction, trust and a negative attitude toward fake news, which will lead to customer loyalty and the sustainable development of the industry. Finally, the limitations and future research directions are discussed.

This study aims to scrutinize the halal trust model by integrating the quality and valence theory in the mobile food purchasing service during the COVID-19 outbreak.

This research uses data from 368 Muslim customers collected via an online survey from Bandung, West Java, Indonesia. This study uses partial least square modelling to appraise the formation of halal trust, including halal food quality, mobile apps quality, perceived benefit and health risk as drivers and loyalty as the consequence.

The data analysis notes that the combination of perceived quality and valence theory provides a comprehensive understanding of halal trust in mobile halal food purchasing during COVID-19. This study also verifies the crucial role of halal food quality and mobile apps quality in gaining halal trust.

This study used data from Muslim customers of the greater Bandung, Indonesia. The data limited the generalization of this study's findings. Moreover, this study predicted halal trust by integrating perceived benefit, perceived trust and quality as the predictors, whereas other determinants such as commitment and reputation were not included. Therefore, future researchers can incorporate these issues in their future halal trust research.

To gain Muslim trust, this study recommends managers whose halal food is sold via mobile apps ensure that their halal food has a quality standard, made of, and processed according to Islamic values. Next, having a high-quality mobile app is also a must.

This study is early research that examines the integration of the quality and valence theory to evaluate halal trust in mobile halal food purchasing during COVID-19.

The COVID-19 pandemic and its related economic meltdown and social unrest severely challenged most countries, their societies, economies, organizations, and individual citizens. Focusing on both more and less successful country-specific initiatives to fight the pandemic and its multitude of related consequences, this chapter explores implications for leadership and effective action at the individual, organizational, and societal levels. As international management scholars and consultants, the authors document actions taken and their wide-ranging consequences in a diverse set of countries, including countries that have been more or less successful in fighting the pandemic, are geographically larger and smaller, are located in each region of the world, are economically advanced and economically developing, and that chose unique strategies versus strategies more similar to those of their neighbors. Cultural influences on leadership, strategy, and outcomes are described for 19 countries. Informed by a cross-cultural lens, the authors explore such urgent questions as: What is most important for leaders, scholars, and organizations to learn from critical, life-threatening, society-encompassing crises and grand challenges? How do leaders build and maintain trust? What types of communication are most effective at various stages of a crisis? How can we accelerate learning processes globally? How does cultural resilience emerge within rapidly changing environments of fear, shifting cultural norms, and profound challenges to core identity and meaning? This chapter invites readers and authors alike to learn from each other and to begin to discover novel and more successful approaches to tackling grand challenges. It is not definitive; we are all still learning.

In an emerging market, understanding shoppers' behavior in an online market is essential to developing online retail strategies. This research study examines the effects of intrinsic factors, namely, perceived utilitarian, hedonic value, materialism, fashion interest and enjoyment, on impulsive online shopping with mediating role of trust and online shopping attitude in the Indian emerging market.

Data are collected from 443 Indian respondents, using purposive and snowball sampling. The data were analyzed using the IBM Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS) package using structural equation modeling.

The results showed that perceived utilitarian, hedonic value, materialism and enjoyment factors significantly impacted perceived trust and online shopping attitude, but fashion interest had no effect. Mediating factors positively impacted impulsive online shopping and showed a significant association between intrinsic factors and impulsive online shopping.

The geographical area of study was limited to only India. Consequently, the findings and conclusions of the study had their limits. The research used the information continuum with a purposive and snowball approach that does not necessarily generalize the findings of the analysis. This work looked at factors stimulating the impulsive online shopping pattern of Indian shoppers in an emerging market.

This research would help e-retailers develop new strategies and plans to increase sales volume and create strong relationships with online customers by providing trustworthiness and security in buying practices.

This study helps to understand the consumer impulsive buying during coronavirus disease 2019 (COVID-19), and it helps e-retailers to adopt a new online store to draw the attention of the consumers and enhance their online sales.

In this COVID-19 situation, this study explores the inherent factors influencing impulsive online shopping in the emerging Indian market. As a result, it contributes to visual identity literature by expanding the field of impulsive online shopping behavior.

This paper aims to examine consumers’ behavioral intention (BI) to order food and beverage items using e-commerce during COVID-19 by incorporating trust (TRU) with the theory of planned behavior (TPB).

Data were collected via an online questionnaire, and the study used a total of 306 accurate and usable responses. The population of the study includes Indian consumers. Data were analyzed using SPSS 25 and AMOS 22.0. The proposed hypotheses were statistically tested.

The empirical results show that attitude (ATT), subjective norms (SN) and trust significantly and positively influence behavioral intention, while perceived behavioral control (PBC) is insignificant. This study reveals that the proposed model explained approximately 51% of the variance in the behavioral intention.

Several theoretical and practical implications are drawn on the basis of the findings of the current study that can be used to make recommendations to e-commerce companies and help them understand the behavioral intention of consumers during COVID-19. Since the research is primarily focused on India, it is difficult to extrapolate the findings to other countries.

To the best of researchers’ knowledge, no single study was carried out in the Indian context that tested the influence of trust on the behavioral intention of ordering food and beverage items using e-commerce during COVID-19. Hence, the present study attempts to understand the factors influencing purchase intention in e-commerce and analyzes the relationship between these factors in the backdrop of COVID-19.

The paper explores how consumer behavior for purchasing impulse products changed in the complex and disruptive (emergency) situation of the COVID-19 pandemic when the customer is shopping in-home and not visiting the offline stores in an emerging economy context. This paper further explores how digital transformations like the use of blockchain technology can aid offline/omnichannel retailers in reviving sales via permission marketing for impulse products.

The authors followed a qualitative research design and conducted 24 personal interviews with millennials and 15 interviews with offline/omnichannel retailers from an emerging economy. The data collected were analyzed using the thematic analysis procedure.

The authors discuss their findings under three themes – customers' conscious impulse buying during the pandemic, customers' unconscious impulse buying during the pandemic, and a viable solution for retailers in response to the pandemic.

The authors suggest that marketers primarily from an offline/omnichannel store should adapt to permission marketing and use technologies like blockchain for the digital transformation of their marketing strategies. Doing so can help offline retailers minimize future damages in the retail sector during emergency situations.

This paper is one of the first that explores how impulse – pure, suggestion, planned and reminder – purchases got affected during the COVID-19 pandemic disruptions in an emerging economy. This paper is also one of the first to explore the role of permission marketing and digital transformation by the use of blockchain in helping offline retailers in forming swift trust and practice trust-based marketing.

Online food delivery applications (OFDAs) provide an expedient platform, and consumers’ access to food has been drastically altered, especially during and after the COVID-19 pandemic. This study aimed to completely explore the attributes that influence consumers' purchase intention and how an app's aesthetics can evoke feelings that predict continuous usage intentions for OFDAs. The food industry, especially restaurants, heavily relies on mobile technology to facilitate critical online food delivery during the pandemic crisis.

The data for this study are gathered from 477 food consumers located in the federal capital territory (FCT) of Islamabad, Pakistan, through convenient sampling by developing a self-administrated online survey. SmartPLS is used for structural equation modeling to test the proposed research model and perform bootstrapping and algorithmic analysis.

Our findings revealed that perceived value positively predicted consumers’ purchase intentions. Moreover, perceived value mediates the association of information quality, familiarity, time-saving, usability and reputation with purchase intentions and fear of COVID-19 moderates the relationship between perceived value and purchase intention.

This research work has significant implications for researchers, web developers, app designers, delivery services, restaurants and other enterprises as it demonstrates the importance of aesthetically pleasing OFDAs in eliciting positive emotions and bolstering consumers’ intentions to continue using the app for efficient food delivery services.

This study expanded the application of the technology acceptance model (TAM) and attention, interest, desire and action (AIDA) by examining consumers’ purchase intentions in the context of OFDAs. Further, the successful utilization of TAM enhanced the understanding of consumer perceptions and behavioral intentions about the usage of OFDAs.

Online fresh food shopping has become increasingly popular in recent years, especially during the COVID-19 crisis. Online fresh food shopping provides consumers with an alternative to shopping in a traditional market, while also enabling procurement of such goods at a reduced risk of infection. The purpose of this study is to investigate whether online fresh food shopping behaviors change during public health emergency periods.

The data were collected through a web-based survey (508 respondents in China). Descriptive analysis, ordinal logistic regression analysis, and the Apriori algorithm were employed to explore what characteristics influence purchase frequency as well as food and delivery time preferences among different customer groups.

Based on the survey data, this study found that purchase frequency grew 71.2% during the COVID-19 crisis. City type and online shopping frequency of respondents are positively correlated with purchase frequency in normal and COVID-19 crisis periods. Number of daily hours worked by respondents only showed a significant impact for the normal period. People perceiving the risk of infection from going out are more willing to purchase fresh food online.

This is the first study to explore and compare online fresh food shopping behaviors during normal and COVID-19 crisis periods with a sample from China. The findings indicate a key role that online fresh food shopping can perform during a crisis and contribute to our understanding of fresh food online shopping behaviors during other possible public health emergency scenarios.