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To meet the complex technology needs of retail clients, technology providers must work in a close partnership with their clients and co-envisage a strategic vision for the role that technology should play in the client’s value chain. However, many providers lack the sales capabilities needed to do this. This study aims to examine the need for providers to transition from transaction-oriented to solution selling-oriented approaches. To do so, this study explores the impact outcomes of a knowledge-exchange intervention co-designed with a partner from industry.

Building on empirical insights from an ongoing research programme that examines retail technology implementations, this study developed a knowledge exchange intervention consisting of planning discursive channels, co-defining the scope, co-developing knowledge, executing the intervention and assessing impact outcomes. Discursive channels – multi-lateral communication channels that allow researchers to work collaboratively with the research partner and other stakeholders – emerge as a critical knowledge-exchange mechanism to generate impact outcomes.

The knowledge-exchange intervention provides impact by enabling the industry partner to establish cross-functional solutions teams, assess retail clients’ technological needs, aid decision-making, define barriers to implementation and develop a coaching approach to support clients’ technological investments. Impact outcomes vary in magnitude, intensity, scope and duration and can also be unintentional where unplanned changes are embedded into practice.

This impact framework offers a roadmap to orchestrate impact outcomes that emerge from academic enquiries.

This paper aims to explore how business-to-business (B2B) salespeople use social media and emulate value creation strategies used by social media influencers.

Using 28 interviews with salespeople, this paper develops six propositions and a conceptual framework that outlines when and how B2B salespeople use social media in value-creating sales.

This study’s findings provide a critical analysis of when social media are most effective and beneficial in supporting salespeople’s value-creating sales in various stages in the sales process (e.g. prospecting, opening relationships, qualifying prospects and serving accounts) and when they are less effective (e.g. presenting sales messages and closing sales).

This research yields a substantive understanding of the evolving role that social media play in B2B sales by examining B2B salespeople’s value creation strategies through the lens of social media influencers’ practice and outlines ideas for future research on B2B salespeople’s social media strategies.

The findings of this research can be used by B2B organizations to structure the training of B2B salespeople to use social media to the fullest extent by aligning specific strategies with different parts of the sales process.

This paper contributes by summarizing the B2B sales literature on social media and integrating recent insights from the social media influencer literature; empirically identifying how B2B salespeople use social media to create value, thus validating previous findings and extending understanding by offering a set of six theoretical propositions; and delineating B2B salespeople’s social media practice into 11 value creation strategies that are critically explored for their place in the sales process.

While the motivation for collecting art has received considerable attention in the literature, less is known about the characteristics of the typical art collector. This paper aims to explore these characteristics to develop a typology of art consumers using a mixed method approach over several studies.

This is achieved by analyzing qualitative data, gathered via semi-structured interviews of art collectors, and quantitatively by means of natural language processing analysis and automated text analysis and using correspondence analysis to analyze and present the results.

The study’s findings reveal four distinct clusters of art collectors based on their “Big Five” personality traits, as well as uncovering insights into how these types talk about their possessions.

In addition to contributing to the arts marketing literature, the findings provide a more nuanced understanding of consumers that managers can use for market segmentation and target marketing decisions in other markets. The paper also offers a methodological contribution to the literature on correspondence analysis by demonstrating the “doubling” procedure to deal with percentile data.

In addition to contributing to the arts marketing literature, the findings provide a more nuanced understanding of art collectors that managers can use for market segmentation and target marketing decisions. The paper also offers a methodological contribution to the literature on correspondence analysis by demonstrating a non-traditional application of correspondence analysis using the “doubling” procedure. Buyer behavior in the fine art market is not exhaustively studied. By understanding the personality traits of consumers in the art market, sales forces can better provide assistance and product to consumers. Further, understanding the personalities of consumers is better for art retail spaces to better serve consumers.

This paper demonstrates a unique mixed methods approach to analyzing unstructured qualitative data. It shows how text data can be used to identify measurable market segments for which targeted strategies can be developed.

This paper aims to examine how consumers respond to social media influencers that are created through artificial intelligence (AI) and compares effects to traditional (human) influencers.

Across two empirical studies, the authors examine the efficacy of AI social media influencers. With Study 1, the authors establish baseline effects for AI influencers and investigate how social-psychological distance impacts consumer perceptions. The authors also investigate the role of an influencer’s agency – being autonomous or externally managed – to test the boundaries of the results and determine the interactive effects between influencer type and influencer agency. Study 2 acts as an extension and validation of Study 1, whereby the authors provide generalisability and overlay the role of need for uniqueness as a moderated mediator.

The authors show that there are similarities and differences in the ways in which consumers view AI and human influencers. Importantly, the authors find no difference in terms of intention to follow or personalisation. This suggests that consumers are equally open to follow an AI or human influencer, and they perceive the level of personalisation provided by either influencer type as similar. Furthermore, while an AI influencer is generally perceived as having lower source trust, they are more likely to evoke word-of-mouth intentions. In understanding these effects, the authors show that social distance mediates the relationship between influencer type and the outcomes the authors investigate. Results also show that AI influencers can have a greater effect on consumers who have a high need for uniqueness. Finally, the authors find that a lack of influencer agency has a detrimental effect.

The studies investigate consumers’ general response to AI influencers within the context of Instagram, however, future research might examine consumers’ response to posts promoting specific products across a variety of category contexts and within different social media platforms.

The authors find that in some ways, an AI influencer can be as effective as a human influencer. Indeed, the authors suggest that there may be a spill-over effect from consumer experiences with other AI recommendation systems, meaning that consumers are open to AI influencer recommendations. However, the authors find consistent evidence that AI influencers are trusted less than traditional influencers, hence the authors caution brands from rushing to replace human influencers with their AI counterparts.

This paper offers novel insight into the increasingly prominent phenomenon of the AI influencer. Specifically, it takes initial steps towards developing understanding as to how consumers respond to AI influencers and contrast these effects with human influencers.

With the popularity of social media platforms, firms have now tangible means not only to reach out to their stakeholders, but also to closely monitor those interactions. Yet, there are limited methodological advances on how to measure a firm’s stakeholder networks, and the level of engagement firms have with these networks. Drawn upon the customer engagement and stakeholder theory literature, this study aims to propose an approach to calculate a firm’s stakeholder network engagement (SNE) index.

After deriving the SNE index formula mathematically, this study illustrates how the SNE index functions using eight firms’ online corporate social responsibility (CSR) networks across four diverse industries.

This study proposes and illustrates a new approach of capturing the SNE in a stakeholder network for use by academic and practical researchers.

Researchers can use the SNE index to assess engagement in stakeholder networks in various contexts.

Managers can use the SNE index to assess, benchmark and improve the nature and quality of their CSR strategies to derive greater return on their CSR investments.

Building on the stakeholder, communication and network analysis literatures, this study conceptualises SNE in four theoretical dimensions, namely, diffusion, accessibility, interactivity and influence. Then, an index that measures SNE is mathematically derived and empirically illustrated.

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.