Search results

This paper aims to understand how virtual influencers (VIs) can promote interethnic tolerance, online, among youth as a social good.

This paper conducted qualitative research using interpretive analysis with RTA (Reflexive Thematic Analysis) on data collected through focus groups.

This paper revealed that the quality of the VI’s content is a leading factor influencing VI's ability to promote interethnic tolerance, but creating content that is constantly authentic, appealing and inclusive to diverse ethnic groups in a particular context is challenging.

The study has some limitations related to the specific context on which it is focused and therefore transferring the findings to different contextual conditions requires caution, and also can be extended with positivist validation.

Findings from our study can drive future projects where real VI artifacts will play the role of a mediator in building strong relational trust among youth belonging to different ethnic groups. The findings indicate that VIs can be effectively used to foster interethnic tolerance if involve diverse team members who understand the ethnic culture deeply and social media experts, to create high-quality content to overcome some limitations.

VIs can be used as social interventions to promote interethnic tolerance and to reduce prejudices and anxiety in online youth communication.

To the best of the authors’ knowledge, no known studies investigated the potential of VIs for promoting interethnic tolerance among ethnically diverse youth groups. Hence, this study paves the way for further refinement on using cutting-edge technology for social good, since it is highly challenging, often resulting in wasted money.

This paper systematically reviews and scrutinises the current development of studies concerning digital platform use in firms’ internationalisation. It also provides a research agenda for future work. Despite more than two decades of research, the study of how traditional firms enter foreign markets using digital platforms remains in its infancy. This paper contributes insights into the academic and managerial relevance of this field.

A systematic review of the literature based on content analysis was undertaken, drawing from peer-reviewed journal articles in international business, international marketing, information systems, and electronic commerce. The articles were published between 1999 and 2023, and the review employed a vote-counting method.

This analysis of 61 papers indicates that research on digital platform use in firms’ internationalisation is growing rapidly. However, the field itself is fragmented, and the research findings are inconsistent. This dynamic area reflects a growing trend, is dominated by several theories, relies primarily on survey data, and frequently uses China as a research context.

In acknowledging the vibrancy and managerial importance of this field, the authors offer a comprehensive overview of the existing studies to serve as a repository of knowledge on digital platform use in internationalisation for both academics and practitioners. Based on the aforementioned analysis, this study develops a reconciling framework to address current research gaps and identify future study directions.

Advances in digital technologies and the growing number of touch points have had a significant impact on the shopping behaviour of omnichannel customers. Several research papers have explored different facets of omnichannel, but only a few have thoroughly explored the literature on showrooming and webrooming simultaneously. This paper aims to identify the key groups of antecedents influencing customer buying behaviour in omnichannel, under the influence of digital technologies, with a particular focus on showrooming and webrooming.

Our study conducted a systematic literature review to identify the factors influencing customers’ buying behaviour in omnichannel, which have been the subject of academic discussion over the last decade. We finalized 149 articles for the thematic analysis and identified three groups of antecedents: channel-related, product-related and consumer-related with their subgroups.

Under channel-related antecedents, cost and perceived benefits, search convenience, need for interaction and situational circumstances have been identified as major attributes. The expressiveness of the product, product demonstration and search and experienced products have been identified under product-related antecedents, followed by price consciousness, past experiences, perceived risks and shopping motivations as leading attributes under consumer-related antecedents. The study revealed the multifaceted influence of digital technologies on omnichannel buying behaviour. Digital technologies are shaping the antecedents related to channels, products and consumers. Digital technologies simultaneously mediate between antecedents and the selection of a specific path within an omnichannel environment. Showrooming and webrooming should no longer be seen as general concepts. The rise of digital technologies has led to the development of new consumer journey patterns and the blurring of distinctions between showrooming and webrooming. A conceptual framework has been proposed to understand consumers' omnichannel behaviour, having considered the identified antecedents and the role of digital technologies.

This study advances the academic understanding of consumer behaviour in omnichannel under the influence of digital technologies and provides important implications for omnichannel management. With the advancement of digital technologies such as augmented reality and virtual reality, retailers should implement channel integration strategies to bridge the gap between online and offline channels, providing a memorable shopping experience for omnichannel customers.

This study is unique because it identifies and analyses the antecedents of consumer behaviour in omnichannel settings under the influence of digital technologies. It also uncovers new potential combinations of showrooming and webrooming patterns. The proposed framework can help retailers in their future planning of omnichannel strategies.

Online shoppers feel insecure due to the various unethical practices of e-tailers. It is, therefore, crucial for online retailers to alleviate customer concerns. Extant literature indicates that country-of-origin (COO) cues influence consumer perception. A relatively underexplored phenomenon in an emerging market context, the COO image of the online retailer, i.e. a foreign-origin online retailer (FOOR) or an Indian-origin online retailer (IOOR), needs validation. The current study investigates customer expectations of online retailers' ethical behaviour against the backdrop of online retailer-based signals in emerging markets.

The researchers floated an online questionnaire using a seven-point Likert scale. The authors sought recipient responses in Google Forms shared via e-mails and social media connections. The authors analysed 1,018 useable responses using partial least square structural equation modelling (PLS-SEM) in Smart PLS 3.

The empirical study examined the influence of the consumer perception of ethics of online retailers (CPEOR) and COO on consumer purchase intention. It validated the proposed research model. The research findings inform that the CPEOR and the COO influence purchase intention through the mediation effects of trust and satisfaction. Results indicate that privacy, security, non-deception, fulfilment, customer service, FOOR and IOOR strongly predict consumer trust. In contrast, privacy, non-deception, fulfilment, customer service and FOOR strongly predict consumer satisfaction. However, security and IOOR did not influence consumer satisfaction.

The study results have theoretical and practical implications for academic researchers and online retailing managers. Future studies can validate the model in different geo-demographic scenarios and e-commerce settings.

The study enriches the extant literature on CPEOR in the Indian context. This study is pioneering work examining consumer purchase intention by adding the COO construct to the CPEOR model.

Consumers send billions of messages with high ephemerality each day, yet the effects of this type of communication are relatively unknown. Online ephemeral communication refers to sending and receiving information with a predetermined, finite lifespan in computer-mediated environments. The purpose of this paper is to conceptually understand online marketing communications with high ephemerality relative to messages with low ephemerality within a consumer’s goal system.

This paper is an attempt to conceptually understand how high ephemerality differs from low ephemerality, particularly as online ephemeral communication has emerged and is widely used by consumers and firms. Goal systems theory is applied to understand how ephemerality is a means for consumers to reach their communication goals.

Consumers are more likely to use messages with high ephemerality to impress with narrowly relevant content, regulate emotions, build social relationships, persuade others through peripheral cues and protect privacy, but messages with high ephemerality are less likely to help consumers manage their impression, acquire or share useful information or present strong arguments. It is also proposed that messages with high ephemerality can help marketers increase interest through frequent peripheral cues, including fun and friendly content, drive sales by creating a sense of urgency and increase loyalty, but are less likely to increase awareness, build interest through flattering or informative content or drive sales through transactional messages.

This study primarily advances the goal systems literature by introducing ephemerality. The defining feature of ephemerality, lifespan, also has research implications for studies of word-of-mouth marketing. The propositions in this study are ready for empirical investigation as to when consumers and firms choose to send messages with low or high ephemerality.

Firms need to understand how consumers are using messages sent with low and high ephemerality in order for firms to best move consumers through the sales funnel.

To the best of the author’s knowledge, this is the first paper to differentiate messages with low and high ephemerality, identify the presence and effects of ephemerality in offline and online communication and explain how and why sending messages with low or high ephemerality can help consumers and firms reach their communication goals. There is only one other paper in marketing on ephemerality in online marketing communications and no other conceptual work.

Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).

Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.

According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.

This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.

This research aims to fill the research gaps regarding customer preferences for digitalisation to create value for retailers and customers, as well as focus on retail change and shopping behaviour in grocery retail stores in the emerging market.

This paper contributes to the research in this area by evaluating customers' and retailers' attitudes towards digital transformation in retailing through interviews. Methodologically, 200 questionnaires were gathered, and data were analysed with the partial least squared structural equation modelling method.

The findings of this study reveal that the effect of digital transformation in the retail industry will be more apparent in an emerging market.

The paper's originality consists in understanding the future retail structure in an emerging market. Notably, focussing on business-to-consumer businesses appears helpful in distinguishing between behavioural (buying) intention and online buying behaviour (actual usage) in an emerging market.

Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

Grounded in self-congruency theory, this study aims to investigate the impact of different types of congruence in social media influencer marketing on consumers’ online impulse buying intentions under the moderating influence of wishful identification.

This study collects survey responses from an online sample of 232 social media users and analyses them using partial least squares structural equation modelling.

This study delineates two distinct pathways influencing online impulse buying intentions within influencer marketing: direct consumer–product congruence and the conditional role of consumer–influencer congruence. Particularly, the alignment between a consumer’s self-image and the product’s attributes independently drives online impulse buying intentions. Conversely, consumer–influencer congruence, despite high alignment, fails to spur online impulse buying intentions unless amplified by wishful identification – the consumer’s aspirational desire to emulate the influencer. This finding underscores the complexity of impulsive consumer behaviours in the digital marketplace, highlighting the pivotal role of product appeal and the conditional influence of influencer relationships on spontaneous purchasing decisions.

This study pioneers by elucidating the congruence interplay between consumers, influencers and products in online impulse buying, emphasising wishful identification as a critical moderating factor. Theoretically, it expands self-congruency theory by detailing the distinct roles of congruence types on impulsive behaviours, notably underlining the essential role of wishful identification for the effect of consumer–influencer congruence. Practically, the insights equip brands with a deeper understanding of the key drivers behind impulsive purchases in an influencer-centric digital marketplace, offering strategic guidance for optimising influencer collaborations and product presentations to enhance consumer engagement and sales.

This paper aims to explore consumers’ post-pandemic (COVID-19) motivations for an e-retailer preference in an emerging market like India.

This study applied qualitative methodology to explore the research question, and 44 in-depth interviews were conducted with online consumers. The interviews were transcribed and analysed using open, axial and selective coding strategies.

This study identified seven post-pandemic motivations for consumers’ e-retailer preference, and the motivations were classified into: utilitarian (remote location and fast delivery, product choice and availability, comparative price and discounts and customer service), hedonic (aesthetics of the e-retailer store) and both utilitarian and hedonic (mobile-friendliness and user interface and interactivity).

Creating knowledge post-pandemic period is essential. This study communicates empirical evidence to suggest consumers are motivated through both utilitarian and hedonic motivation for an e-retailer preference in an emerging market. Furthermore, the researchers are encouraged to collect data from more developing countries and test the proposed e-retailer preference factors.

The study offers new knowledge to online retail managers to understand how emerging market consumers prefer an e-retailer and strive to attract and retain customers in the market.

Past studies have highlighted the importance of consumer online shopping motivations and channel preferences. However, there is limited literature investigating how consumers prefer an e-retailer over other e-retailers for online shopping. This study addresses the gap in the existing retailing literature and offers fresh insights into how consumers prefer an e-retailer post-pandemic from an emerging market context.