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The authors present an exploratory study on the effectiveness of in-store marketing communication appeals via digital signage applying the construal level theory (CLT) in a field experiment. According to this theory, the authors hypothesize that shoppers will on the one hand respond more favorably to messages focusing on the desirability of the offering, when they are further distanced from the actual purchase decision. On the other hand, the authors expect more favorable responses toward messages containing feasibility appeals, positioned closer by to the purchase decision. The purpose of this paper is to determine appropriate location-based content for in-store proximity marketing.

A field experiment was conducted in a Belgian coffee bar, examining temporal distance effects in a natural retail/service environment. A 2×2 between-subjects experimental design is implemented (i.e. low vs high temporal distance×concrete/cost vs abstract/brand-oriented appeal), examining the impact on marketing communication effectiveness.

Overall, the authors find some initial support for CLT on effectiveness measures regarding purchase intentions and actual purchase, but not in terms of self-reported noticing of the screen and the ad, nor in terms of (un)aided ad recall.

This experiment is a pilot study and such finds itself confronted with a limited number of observations.

The study is among the first to examine how message content (beyond price promotion) can be adapted to in-store locations.

The purpose of this paper is to empirically investigate the role of the placement (i.e. location) of humanoid service robots (HSRs) for entertainment applications in retailing by inspecting a multitude of performance metrics along the point-of-sale conversion funnel.

The study was conducted using unobtrusive observations at a Belgian chocolate store. In total, 42 h of video observation material was collected and analyzed, with an even spread over three conditions: (1) an HSR placed outside, (2) an HSR inside the store and (3) a control condition (no robot stimuli). All passersby and their interactions with the robot and the store were systematically coded and compared.

The study found that the better placement of HSRs (inside or outside the store) is contingent on the goals the retailer prioritizes. When the goal is to create awareness and interest toward the store, the HSR should be placed outside, as it has double the stopping power. To induce consumers to enter the store, placement of the HSR inside the store is the better option. Ultimately, however, in terms of the number of transactions and total amount spent, outside placement of the HSR outperforms inside placement.

This study was not able to verify the internal emotional/cognitive state of the passersby, as the method relied on unobtrusive camera observations. A longitudinal research design would be desirable to exclude potential bias due to the novelty effect.

While research on robots in retail services is emerging, this study is the first to provide insights on how retailers can decide on the placement of robots inside or outside the store, depending on the particular goals they are aiming to reach at the point of purchase.

A major factor hampering the continuing and explosive rise of e-commerce, particularly for experience goods, is the lack of tactile information that could help to reduce uncertainty in consumer purchase decision making online. The purpose of this paper is to identify the specific touch-related properties worthwhile to enable in online retailing and the type of customer value that can be provided, as well as the drivers and barriers for consumer acceptance toward touch-enabling technologies for online shopping.

By means of consumer focus groups, the authors address the research questions regarding touch-related properties, their value to consumers, and the drivers and barriers for consumer acceptance by taking into consideration two specific touch-enabling technologies.

The study reveals that touch-enabling technologies can provide utilitarian and hedonic value to consumers, mainly at the pre-purchase stages in the path-to-purchase. Valuable applications conceived by consumers primarily pertain to offering information on material and geometric product properties. A hurdle for consumer adoption seems to be the necessity of a dedicated output device, such as a glove.

Due to the early development stage of the new technologies under investigation, this study is exploratory in nature. The findings should be validated in the future, once these technologies actually get introduced for online marketing purposes.

This study aims to raise awareness among online retailers about marketing opportunities comprised of touch-enabling technology.

The authors provide a first outlook with regard to future consumer acceptance of touch-enabling technologies in online shopping and how and when such technologies can provide consumer value.

To date, to the best of the authors’ knowledge, the use of implicit measures in the service research domain is limited. This paper aims to introduce implicit measures and explain why, or for what purpose, they are worthwhile to consider; how these measures can be used; and when and where implicit measures merit the service researcher’s consideration.

To gain an understanding of how implicit measures could benefit service research, three promising implicit measures are discussed, namely, the implicit association test, the affect misattribution procedure and the propositional evaluation paradigm. More specifically, this paper delves into how implicit measures can support service research, focusing on three focal service topics, namely, technology, affective processes including customer experience and service employees.

This paper demonstrates how implicit measures can investigate paramount service-related subjects. Additionally, it provides essential methodological “need-to-knows” for assessing others’ work with implicit measures and/or for starting your own use of them.

This paper introduces when and why to consider integrating implicit measures in service research, along with a roadmap on how to get started.

Service robots have increasingly been utilized in retail settings, yet empirical research on how frontline employees (FLEs) might deal with this new reality remains scarce. This mixed-methods study aims to examine how FLEs expect physical service robots to impact job characteristics and affect their job engagement and well-being.

First, explorative interviews (Study 1; N = 32) were conducted to investigate how FLEs currently experience job characteristics and how they believe robots might impact these job characteristics and job outcomes. Next, a survey (Study 2; N = 165) examined the relationship between job characteristics that retail FLEs expect to be impacted by robots and their own well-being and job engagement.

While the overall expectations for working with robots are mixed, retail FLEs expect that working with robots can alleviate certain job demands, but robots cannot help to replenish their job resources. On the contrary, most retail FLEs expect the pains and gains associated with robots in the workspace to cancel each other out, leaving their job engagement and well-being unaffected. However, of the FLEs that do anticipate that robots might have some impact on their well-being and job engagement, the majority expect negative effects.

This study is unique in addressing the trade-off between expected benefits and costs inherent to job demands-resources (JD-R) theory while incorporating a transformative service research (TSR) lens. By integrating different streams of research to study retail FLEs' expectations about working with robots and focusing on robots' impact on job engagement and well-being, this study offers new insights for theory and practice.

As online travel marketing is evermore gaining importance, in particular regarding the pre-purchase presentation of travel destinations, it is imperative to examine how various media can engage consumers. The purpose of this paper is to identify how three prominent virtual representation media in tourism marketing differ regarding their potential in engaging customers. In particular, the authors examine whether they differ in the levels of interactivity, vividness and telepresence they elicit; and the impact of these dimensions on flow, enjoyment and online purchase intentions. The authors hereby focus specifically on millennials, who represent an important target market for the travel industry and are hard to reach via traditional media.

This study presents a between-subjects experimental design comparing three virtual representation media portraying New York City, namely, photographs, 360° video and virtual reality (VR). The findings are analysed with ANCOVA analysis and PLS path modelling.

The findings reveal that various media indeed generate different levels of customer engagement. In particular, VR scores the highest on all dimensions, with interactivity having the largest effect on consumers’ perception of telepresence. Such higher levels of telepresence in turn positively affect purchase intentions via mediation through flow and enjoyment.

Future research should examine whether these findings are impacted by moderators, like consumer characteristics (e.g. socio-demographics, personality traits) and destination types.

This study provides guidelines for tourism providers seeking to promote their sites in innovative and effective ways, in the anticipatory stage of the customer journey.

This study identifies interactivity as the most important driver for consumers’ perception of telepresence in the context of pre-travel tourism information. Moreover, the findings also reveal the mechanisms behind enhanced customer engagement via various media.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

In confining the COVID-19 pandemic, social distancing was key, with traditional, bricks-and-mortar retailing being shut-down for weeks, and have nearly universally moved into online channels. At the same time, online players have started to operate physical stores. This chapter provides an analysis of how COVID-19 has accelerated the digitalization of retailing, focusing on the shift towards the online and mobile shopping channel. On the basis of success stories and failures in retail business practice, lessons are distilled for developing effective future phygital scenarios.

Determining the right number of customers inside a store (i.e. human or customer density) plays a crucial role in retail management strategies. On the one hand, retailers want to maximize the number of visitors they attract in order to optimize returns and profits. On the other hand, ensuring a pleasurable, efficient and COVID-19-proof shopping experience, would go against an excessive concentration of shoppers. Fulfilling both retailer and consumer perspectives requires a delicate balance to be struck. This chapter aims at supporting retailers in making informed decisions, by clarifying the extent to which store layouts influence (perceived) consumer density. Specifically, the chapter illustrates how new technologies and methodologies (i.e. agent-based simulation) can help in predicting a store layout's ability to reduce consumers' perceived in-store spatial density and related perceptions of human crowding, while also ensuring a certain retailers' profitability.

This chapter provides an overview of technology management to support retailing, before and during the COVID-19 pandemic. Specifically, it focuses on the technologies developed and in use before the pandemic, the ones further developed as response to the pandemic, while the final part of the chapter proposes a new technology implementation process (cycle) to support retailers in introducing new technology. In particular, the process in based on seven main activities: (1) Technology need recognition; (2) Technology screening; (3) Initial development and testing; (4) Business analysis; (5) Technology development; (6) Market acceptance testing; and (7) Technology adoption, while monitoring and learning actions should occur constantly throughout the process to evaluate the benefit of the technology at each stage (or to discard for further investment).