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This paper investigates the degree to which self-selection explains the apparent higher purchase value of research shoppers.

An online survey was administered to 594 retail shoppers. The purchase value of research shoppers and single-channel shoppers was compared before and after propensity score matching to account for self-selection effects.

Prior to matching, research shoppers spend significantly more than single-channel shoppers. This difference persists after accounting for self-selection but is reduced by 25%. The impact of self-selection differs across product categories and channels, with the online channel most likely to lead to higher purchase value.

The findings build on existing literature on the value of omni-channel retail strategies and provide insights for retailers to determine the likely impact of encouraging research shopping among their customers.

The research provides important insights into the role that self-selection plays in the value of multi-channel shoppers, and the likely value to retailers of omni-channel strategies.

Increasingly, retailers are adopting technologies such as augmented reality (AR) as tools to enhance the customer experience. However, little is known about consumers' differing attitudes towards AR. The aim of this study is to explore how consumers differ in terms of the value they receive from using AR, as well as the trade-offs they experience when using the technology for shopping. Moreover, the study explores the individual characteristics that lead to these differences by segmenting consumers according to their perceptions of and attitudes towards AR as a shopping tool.

To identify the segments, latent class analysis was conducted on the data collected from an online survey of 503 US consumers.

The analysis yielded four distinct segments of consumers who vary in their attitude towards AR as a shopping tool – AR Averse, AR Hesitant, AR Open and AR Enthusiastic. Covariate analysis indicated that the factors which drive membership of these segments include perceived ease of use, perceived usefulness and psychographic characteristics such as innovativeness, time pressure and shopping enjoyment.

The heterogeneity of consumer attitudes towards AR is driven by consumers' perceptions of decision confidence (how they see AR enhancing their ability to make choices), information overload (the potential for AR to over-stimulate shoppers) and experiential value (the derived value from engaging with AR). Hence, retailers should leverage these dimensions when communicating the value of AR in assisting consumers when shopping.

This study highlights that heterogeneity exists in consumer attitudes towards AR, and suggests that the attitude towards AR is not a fixed value, but can change through education.

This research explores anticipated long-term change in the retail and services marketplace, directly arising as a result of the Covid-19 pandemic.

A series of 20 in-depth interviews were conducted with retail and service stakeholders (executives, suppliers and thought-leaders) from across Asia-Pacific (New Zealand and Australia), the United Kingdom, Europe and the United States.

We identify six guiding principles for long-term change in the retail and services sector required to guide future business development and practice, including embedding new ways of working, rethinking the role and purpose of physical space, prioritizing digital elements, integrating employees in community, building agile supply and planning for future turbulence.

The Covid-19 pandemic is different from prior disruptive experiences in that it was a sudden shock to business and was collectively experienced by firms, workers and consumers across the globe. This research provides a view of decision-makers’ sensemaking and anticipated changes impacting the future retail and services marketplace.

Brands are increasingly considering the use of chatbots to supplement, or even replace, humans in service interactions. Like humans, chatbots can follow certain service scripts in their encounters, which can subsequently determine the customer experience. Service scripts are verbal prescriptions that seek to standardize customer service interactions. However, while the role of service scripts is well documented, despite the increasing use of chatbots as a service mechanism, less is known about the effect, on consumers, of different service scripts presented during chatbot service encounters.

An experimental scenario was developed to test the research hypotheses. Respondents were randomly allocated to scenarios representing a 2 (service interaction: human, chatbot) × 2 (service script: education, entertainment) design. A total of 262 US consumers constituted the final sample for the study.

The findings indicate that when employing an education script, a significant positive effect occurs for human service agents (compared to chatbots) in terms of both satisfaction and purchase intention. These effects are fully mediated by emotion and rapport, showing that the bonds developed through the close proximity to a human service agent elicit emotion and develop rapport, which in turn influence service outcomes. However, this result is present only when an educational script is used.

This paper contributes to the emerging service marketing literature on the use of digital services, in particular chatbots, in service interactions. We show that differences occur in key outcomes dependent on the type of service script employed (education or entertainment). For managers, this study indicates that chatbot interactions can be tailored (in script delivered) in order to maximize emotion and rapport and subsequently consumer purchase intention and satisfaction.

The purpose of this paper is to examine the indirect relationship between dynamic capabilities (DCs) and organizational outcomes through matching and creating market change. In addition, the research aims to gain a deeper understanding of the role of marketing in DCs and to extend beyond a simplistic discussion of DCs by studying proactive market orientation and value innovation as specific DCs.

A questionnaire was developed and data were collected from 270 senior executives. After ensuring reliability and validity, the hypotheses were examined by applying structural equation modeling and Monte Carlo simulation.

The findings indicate that dynamic marketing capabilities (DMCs) are critical in the reconfiguration of operational marketing capabilities, which in turn lead to enhanced organizational performance. The results also suggest that organizations with enhanced DMCs are able to initiate market disruption and achieve superior performance by out-competing their rivals.

The research provides guidelines for managers wanting to exploit their DMCs by showing that organizations can match the environment, create market turbulence or combine both strategies to fully exploit their DMCs. This study also provides managers with actionable tools that are specific, robust and easily applied.

This study is one of the few to incorporate induced market turbulence into the DC literature and conceptualize, develop and validate scales to measure it. The study provides empirical evidence for the claim that operational marketing capabilities are necessary to utilize the benefits of DMCs.

This paper aims to use systems thinking, systems theory and Camillus’ framework for responding to wicked problems to provide social marketers with a theoretically based framework for approaching strategy formation for wicked problems. The paper treats fast fashion as an illustrative case and takes a step back from implementation to provide a framework for analysing and gaining understanding of wicked problem system structure for social marketers to then plan more effective interventions. The proposed approach is intended as a theory-based tool for social marketing practitioners to uncover system structure and analyse the wicked problems they face.

Following Layton, this work provides theoretically based guidelines for analysing the black box of how to develop and refine strategy as first proposed in Camillus’ (2008) framework for responding to wicked issues.

The prescription thus developed for approaching wicked problems’ system structure revolves around identifying the individuals, groups or entities that make up the system involved in the wicked problem, and then determining which social mechanisms most clearly drive each entity and which outcomes motivate these social mechanisms, before determining which role the entities play as either incumbent, challenger or governance and which social narratives drive each role’s participation in the wicked problem.

This paper shows that using systems thinking can help social marketers to gain big picture thinking and develop strategy for responding to complex issues, while considering the consequences of interventions.

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.

For consumers, cross-channel behaviour is increasingly prevalent. Such behaviour involves consumers actively engaging in (and deriving benefit) from one channel during a product search but switching to another channel when making a purchase. Drawing on multi-attribute utility theory, this study proposes a cross-channel behaviour typology consisting of three key aspects: channel choice behaviour, functional and economic outcomes and consumer-specific psychographic and demographic variables.

Segmentation analysis conducted via latent class analysis (LCA) was performed on a sample of 400 US consumers collected via an online survey.

Cross-channel behaviour is not always intentional. We identify a specific segment of consumers that most often engage in unplanned, rather than intentional, cross-channel switching. We find that of all shoppers that engage in cross-channel behaviour, a fifth (20%) are forced to switch channels at the point of purchase.

Cross-channel behaviour can be mitigated by retailers via a deep understanding of the driving factors of different configurations of showrooming and webrooming.

In contrast with existing conceptualisations, this study suggests that cross-channel behaviour often stems from consumers being “forced” by factors outside of their control, but within the retailers' control. This research presents a nuanced approach to decompose consumer cross-channel behaviour from the consumer perspective as planned, forced or opportunistic.

Although saving for retirement is critical, many people are reluctant to contribute money now in anticipation of a future event, namely their retirement. This study aims to investigate the interaction effect between message frame and message appeal on individual preparedness for retirement, specifically in terms of an individual’s willingness to contribute to retirement savings.

Across three studies, the authors show that message frames with a gain-orientation are more persuasive when self-oriented rather than oriented towards socially distant others. In Study 1, the authors use a 2 (gain-loss message frame) × 3 (self, close-other, distant-other message appeal) experimental design with ad copy manipulating the scenarios. In Study 2, the authors replicate and extend Study 1 to validate the findings. In Study 3, the authors overlay life-stage to determine how consumers differ in terms of their willingness to contribute to retirement.

Across the studies the authors find that message frame and message appeal influence consumer preparedness for retirement. The authors investigate these effects in terms of willingness to contribute to retirement savings (Studies 1–3) as well as satisfaction with retirement savings, anticipated retirement enjoyment, positive emotions and negative emotions (Studies 1 and 2).

While a substantive amount of research has been devoted to retirement planning, gaps remain as to the efficacy of communication message strategies on influencing retirement preparedness. This research seeks to contribute towards this literature stream by uncovering the ways in which individuals can be encouraged to contribute towards retirement planning.

Increasingly, customers are demanding products that fit their individual needs. Many firms respond by cultivating product individualization via mass customization, often integrating this capability via interactive platforms that connect them with customers. Despite such customization, research to date has lacked cohesion, often taking the organizational, rather than customer, view. The purpose of this paper is to provide inconclusive theorizing in regard to customization from the consumers’ perspective.

The review and synthesis of the literature revealed that co-configuration is an underexplored domain of mass customization. Consequently, an initial conceptualization of co-configuration is developed and compared with current customization strategies. Specifically, the definition and boundary conditions of co-configuration are compared with three domains of mass customization, namely, co-production, co-construction and co-design. This led to the development of research priority areas to establish an agenda for future research on mass customization and its role in customer’ firm relationships.

This paper provides the delineation of four distinct consumer customization strategies, conceptualized in a matrix, and proposes separate customer journey visualizations. In advancing the theoretical understanding by means of a unifying typology, this paper identifies three existing Cs of mass customization (co-production, co-construction and co-design) and focuses specifically on a fourth (co-configuration), identified as an understudied mass customization strategy.

This paper extends the previous conceptualizations of mass customization comprising co-production, co-design and co-construction. The proposed typology establishes a foundation for four research priority areas that can improve both academic rigor and practical application.