Search results

Despite increased emphasis on diversity marketing, much remains unknown about how brands should approach diversity. This paper aims to understand what constitutes a brand’s approach to diversity (BATD), establish a categorisation of such approaches, outline the effects on audience connectedness and establish a future research agenda.

This conceptual paper draws on critical theory and practical exemplars to present a conceptualisation of BATD.

Using two determinants, depth of diversity integration and order of entry, it is possible to categorise BATD into four types: transformative, adaptive, passive and performative. Early adoption and greater depth of diversity approaches (i.e. multidimensional to an intersectional representation of identities) provide optimal opportunities for evoking connectedness.

The conceptual typological framework for BATD helps delineate how varying levels of diversity depth and order of entry influence audience connectedness. A detailed agenda for further research can guide ongoing diversity research.

Creating a typology reduces complexity and helps marketers recognise the differing components, manifestations and effects of their diversity approach. To increase connectedness and reduce audience scepticism, marketers must seek deeper-level diversity integrations and adopt approaches earlier.

This study offers a novel conceptualisation of BATD by defining it, distinguishing it from related research themes and moving beyond single diversity dimensions and marketing mix elements. Further, audience connectedness is positioned as a critical consequence as it can instigate desirable brand outcomes, benefit those identities represented and promote a more inclusive society.

This study aims to use social media data to identify brand communication strategies on Facebook. The analysis uncovers trends and statistics regarding engagement rates. This research leads to the development of a future research agenda for social media and engagement research.

The Facebook Insights data of 12 wine brands over a 12-month period informed this study. Descriptive analysis was undertaken to examine the social media communication strategies of these brands. The impact of these strategies on engagement metrics is also examined.

The findings demonstrate a low rate of engagement among the users of the wine brand Facebook pages. A majority of Facebook fans rarely engage with the brands. The results demonstrate that user engagement varies depending on the day of the week and hour of the day of the brand post.

Wine brands can use these findings as a guideline for effective practice and as a benchmarking tool for assessing their social media performance. The paper provides implications for marketing scholars through the development of a future research agenda related to social media, customer engagement and wine marketing.

This paper fulfils an identified need by offering practical advice to wine producers on the necessity to explore and understand social media strategy and customer engagement characteristics.

Organizations are investing heavily in social media yet have little understanding of the effects of social media content on user engagement. This study aims to determine the distinct effects of informational, entertaining, remunerative and relational content on the passive and active engagement behavior of social media users.

Facebook Insights and NCapture are used to extract data from the Facebook pages of 12 wine brands over a 12-month period. A multivariate linear regression analysis investigates the effects of content on consuming, contributing and creating engagement behavior.

Results reveal distinct effects of rational and emotional appeals on social media engagement behavior. Rational appeals in social media have a superior effect in terms of facilitating active and passive engagement among social media users, whereas emotional appeals facilitate passive rather than highly active engagement behavior, despite the social and interactive nature of the digital media landscape.

Results contribute directly to understanding engagement and customer experience with social media. Further theoretical and empirical examination in this area will aid in understanding the dynamic nature of the levels of engagement within social media.

Findings provide managers and practitioners with guidelines and opportunities for strategic development of social media content to enhance engagement among consumers in a social media forum.

This study is one of the first to empirically examine the construct of social media engagement behavior. It extends the utility of dual processing theory to demonstrate how rational and emotional message appeals result in online engagement.

The objective of this study is to provide a systematic review of the literature on artificial intelligence (AI) in customer-facing financial services, providing an overview of explored contexts and research foci, identifying gaps in the literature and setting a comprehensive agenda for future research.

Combining database (i.e. Scopus, Web of Science, EBSCO, ScienceDirect) and manual journal search, the authors identify 90 articles published in Australian Business Deans Council (ABDC) journals for investigation, using the TCCM (Theory, Context, Characteristics and Methodology) framework.

The results indicate a split between data-driven and theory-driven research, with most studies either adopting an experimental research design focused on testing the accuracy and performance of AI algorithms to assist with credit scoring or investigating AI consumer adoption behaviors in a banking context. The authors call for more research building overarching theories or extending existing theoretical perspectives, such as actor networks. More empirical research is required, especially focusing on consumers' financial behaviors as well as the role of regulation, ethics and policy concerned with AI in financial service contexts, such as insurance or pensions.

The review focuses on AI in customer-facing financial services. Future work may want to investigate back-office and operations contexts.

The authors are the first to systematically synthesize the literature on the use of AI in customer-facing financial services, offering a valuable agenda for future research.

This paper defines prosumers in light of the COVID-19 crisis and other contexts. It addresses how prosumers helped overcome challenges caused by COVID-19 and is the first paper to develop a taxonomy of prosumers, their differentiating characteristics and the degree to which they are useful in overcoming the challenges of COVID-19.

We conducted a literature search of the prosumer literature using the Web of Science and Scopus databases.

This study solves a definitional dilemma of prosumers and develops six prosumer archetypes displaying the nuances of prosumers. The study shows that the six prosumer archetypes vary in their usefulness in addressing challenges caused by COVID-19. The findings demonstrate the micro (individual), meso (organizational) and macro (societal) benefits offered by prosumers in times of crises.

This study has some clear implications for the prosumer literature, the services literature and the crisis literature by clarifying the role of prosumers in times of crisis.

This paper offers several implications at the micro (individual), meso (organizational), and macro (societal) levels that are offered by prosumers in times of crises. The benefits of prosumers afford individuals, service practitioners and other organizations ways to remain resilient and strong in the face of significant crises such as COVID-19.

This paper makes three specific contributions. First, it contributes to the service literature by highlighting the role and value of prosumers in crises, an area currently under-researched. Secondly, it developed six prosumer archetypes displaying the nuances of prosumers, contributing to the prosumer literature by sharpening the focus of this versatile phenomenon and demonstrating the differential value of each type of prosumer in times of crises. Lastly, the study advances the prosumer literature by resolving the definitional dilemma of prosumers and by providing a broad, yet specific definition of prosumers that captures the different perspectives evident in the prosumer literature.

The continued evolution of influencer marketing has created a need to better understand influencer marketing effectiveness. With brands increasingly partnering with influencers, research is yet to provide an integrated perspective examining the critical role of both parties. This study aims to draw on the source credibility model and signaling theory to explain the mechanisms that matter in influencer marketing effectiveness.

The proposed model of influencer marketing effectiveness is analyzed using partial least squares with data from 281 followers of social media influencers.

The authors establish influencer characteristics of popularity and attractiveness as heuristic cues that inform judgments of influencer efficacy. Further, category involvement and altruistic motives for collaboration are shown to moderate followers’ reliance on these heuristic cues. Then, a sequential mediating effect demonstrates the critical roles of the influencer and partner brand in three desired outcomes: enhanced perception of brand authenticity, enhanced brand engagement and positive attitudes toward influencer posts.

Future research should consider other heuristic cues that could inform influencer efficacy judgments and switch the focus toward the partner brand’s impact on such judgments.

A step-by-step visual framework is presented to help marketers and influencers translate these findings into key responsibilities for developing more effective and collaborative partnerships.

Besides presenting an integrated perspective, signaling theory provides an original lens for explaining influencer marketing effectiveness, addressing the need to expand the theoretical boundaries of influencer marketing research. 

The purpose of this paper is to explore why and how sharing economy users switch from consumer (e.g. Airbnb guest) to provider (e.g. Airbnb host), and how this helps enrich self-determination theory.

The authors conducted an exploratory study with users who had been consumers (i.e. Airbnb guests) and had switched to being providers (i.e. Airbnb hosts).

Consumers switch to being providers across four phases: “catalysts”, “enablers”, “drivers” and “glue”. The authors identify various extrinsic and intrinsic motivations unique to the switch and map these against motivators postulated by self-determination theory.

The authors propose a four-phase process through which consumers become providers. The present study enriches self-determination theory by showing how users' psychosocial needs are addressed through a variety of intrinsic and extrinsic factors that are unique to the role switch. The authors further show how the importance of the three key psychosocial self-determination needs varies through the switch process, thus providing a more nuanced understanding of users' drive for self-determination.

This study offers several recommendations to help sharing economy platforms improve their processes and communication to encourage a greater number of consumers to switch roles and become providers. These recommendations address two aspects: (1) encouraging consumers to switch roles and become providers (i.e. acquisition) and following this (2) encouraging providers to continue to perform that role (i.e. retention).

Much research has investigated why users become consumers (e.g. Airbnb guests) or providers (e.g. Airbnb hosts) in the sharing economy. However, research to date has not fully embraced the two-sided nature of the sharing economy. Therefore, this is the first paper to explore why and how consumers switch roles and become providers in the sharing economy, and how this helps enrich self-determination theory.

Drawing upon the evolutionary psychology perspective, the current research aims to investigate the conditions under which power (high vs low) and emotion (pride vs gratitude) can influence consumers to purchase products for others via two fundamental motives (the signaling and affiliative motives).

Three experiments are conducted. Study 1 demonstrates that consumers with high (low) power are more likely to choose a wine promoted with pride (gratitude) appeals. Study 2 shows that consumers in the high- (low-) power condition report a higher willingness to pay for a wine promoted with pride (gratitude) appeals. Study 3 replicates the findings of Study 2 using a different product advertisement (chocolate bars).

This study provides concrete empirical evidence that powerful consumers experiencing pride will engage in gift giving because of an increased signaling motive. In contrast, powerless consumers experiencing gratitude will engage in gift giving because of an increased affiliative motive.

This study explores the context of gift giving using wine and chocolate bars as the products. It would thus be of interest to examine and extend the effects in motivating other prosocial behaviors such as donating and volunteering.

The findings suggest how different states of power can be temporarily and purposively triggered and matched with the desired emotional appeals within adverting messages to increase persuasion.

This study illustrates a novel mechanism for gift giving from the evolutionary psychology perspective by showing that gift giving can be motivated by two distinct pathways – affiliative and signaling motives. Further, it tests how the interactive effects of power (high vs low) and emotion (pride vs gratitude) can activate such motives.