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Calls for empirical and theory-based outcome measures in the place marketing literature are made more pressing as policymakers manage post-COVID high street recovery. This study aims to evaluate how knowledge of repeat buying established in the consumer marketing domain might be adapted to benchmark place marketing effectiveness, applying the Law of Double Jeopardy to capture the predictable relationship between footfall and visit frequency on competing high streets.

The authors match footfall and survey data collected simultaneously on nine local high streets in one London borough to ask if a predictable Double Jeopardy relationship exists. The authors then test the theoretical assumptions of independence that underpin the Law in patterns of switching; the predictable distribution of regular, infrequent and new visitors; and the absence of user segmentation.

The authors observe that Double Jeopardy constrains behavioural outcomes, that a simple model fits high street footfall data well and that its theoretical assumptions are supported.

This paper makes several practical and theoretical contributions. The authors demonstrate a method to model expected repeat visit frequency from footfall density and elaborate footfall data into its frequency classes. The authors also locate the effects of loyalty over time within existing knowledge of spatial competition for high street patronage and demonstrate how place marketing insights can be derived from applications of this useful law.

The paper frames modern slavery as a global wicked problem and aims to provide a set of international business (IB) policy recommendations for taming it. The outlined approach can also guide IB policymaking to address other kinds of wicked problems.

This is a conceptual paper that reviews existing literature on wicked problems and integrates it with an IB policy double helix framework. The paper focuseses on the role multinational enterprises (MNEs) play in moderl slavery globally, either through global value chains or within global factory modes of operation.

As a global wicked problem, modern slavery will never be solved, but it can be re-solved time and time over. Understanding the social reproduction of modern slavery can help shift the focus from labor governance and a narrow supply chain focus toward the role of transnational governance and the need to address institutional, market and organizational failures.

The paper contributes to the gap in an overarching theory of modern slavery and systematically applies the concept of wicked problems and wickedness theory to modern slavery. Drawing on an IB policy double helix framework, the paper addresses the governance nexus between modern slavery, IB and policymaking which can in turn advance IB policy research and theory.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

This paper outlines a contemporary conceptual framework for the embedding of experiential learning into a business consultancy module. Experiential learning is a fundamental teaching approach that allows students to apply theory into a working business context.

As a conceptual and not an empirical paper, the methodological approach was to draw upon the literature reviewed and to build a framework to support student learning through a business consultancy module.

Exploration of the literature suggests that there are four elements critical to student learning in experiential learning environments: action, reflection, social and context. A framework has been developed utilising these elements with the interaction between the factors being key to developing learning.

So far, the framework is conceptual, and further research is needed to explore its use when staff members are developing these types of modules and to understand the interaction of the factors over the course of the student learning experience.

The originality comes from the intersection and interaction between the core factors in experiential learning, which enables this framework to move thinking beyond more static models and hence work in a more fluid student learning environment.

Sport organizations increasingly emphasize their support for lesbian, gay, bisexual, transgender and queer (LGBTQ) inclusion by promoting a perfect score on the Athlete Ally Equality Index, partnering with nonprofits to increase awareness of LGBTQ individuals in sport (e.g. Rainbow Laces campaign), or hosting a pride night for LGBTQ fans. Despite these and similar efforts, LGBTQ fans historically have felt unwelcome in sport settings, thereby signaling the need for inclusive fan codes of conduct. The purpose of this study was to examine both the prevalence and antecedents of such policies.

Using publicly available data sources, the authors focused on 350 Division 1 college athletic departments in the USA.

Results illustrate factors at both the macro (i.e. institution) and meso- (i.e. athletic department) levels interact to explain whether a school will possess a fan code of conduct. Specifically, research-intensive institutions with strong gender equity are more likely to possess a code of conduct than schools that are not research oriented and have weak gender equity. This project extends the understanding of LBGTQ inclusion in the sports industry.

The current study is the first to examine the prevalence and predictors of LGBTQ-inclusive fan codes of conduct. Understanding these dynamics can help athletic programs that want to create safe and inclusive sport spaces for LGBTQ fans and spectators.

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French, 2009). While appearance is critical to political marketing, most of the research focusing on appearance in politics is experimental in nature (Lenz & Lawson, 2011; Olivola & Todorov, 2010; Todorov et al., 2005). This study investigates the importance of appearance for marketing politicians through a qualitative interpretivist framework that offers implications for theory. Moreover, this chapter offers a specific focus on the importance of appearance for female politicians.

Research shows women face greater scrutiny on their appearance (Carlin & Winfrey, 2009; Sanghvi, 2018). This chapter examines myriad of issues women in politics face based on their appearance. It also examines how women have successfully managed the issue of appearance at local, state and national levels. Thus, this study delivers a multifaceted view of the topic and facilitates the understanding of how appearance management enters into the political marketing process.

Police procedural justice is essential in shaping police legitimacy and public willingness to cooperate, yet factors that affect police fair treatment of citizens are not fully understood. Using the data of the National Police Research Platform (NPRP), Phase II, this study examines the effects of three key organizational factors (i.e. effective leadership, supervisory justice and department process fairness) on officers’ procedural justice in police stops.

Innovatively, this study links police data with citizens’ data and conducts multilevel analyses on the effects of a host of citizen, officer, incident, and, importantly, agency characteristics on officer behaviors during over 5,000 police stops nested within 48 police agencies.

The results showed that the fairness of the departmental process had a positive effect on officer procedural justice, while the fairness of the supervisor was inversely associated with procedural justice on the street.

The linked data demonstrated that organizational fairness affected street procedure justice.