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Are your purchases planned or unplanned? A straightforward question, the answer to which can be oversimplified, ignoring the degrees to which customers can be reminded by advertising or attracted by a special offer. Concentrating on pharmacy customers, researchers at UMIST have taken an analytical look at impulse buyers.

The purposes of this paper are three‐fold: first, to examine the effect of diversity climate on professional employee of color outcomes, organizational commitment and turnover intentions; second, to investigate the moderating and mediating roles of interactional and procedural justice on the relationships between diversity climate and the outcomes; and third, to explore the interactive effect of racial awareness and diversity climate on reported psychological contract violation.

The authors conducted a survey of 182 professionals of color. Correlation, factor analysis, and regression were employed to test the hypotheses.

Results indicate that diversity climate affects organizational commitment and turnover intentions. Interactional and procedural justice played mediating roles between diversity climate and employee outcomes. Moderated mediation analysis indicated that for turnover intentions, there was moderated mediation under both low and high procedural justice conditions. When a diversity climate was perceived to be fair, racially aware respondents reported lower levels of psychological contract violation.

Professionals of color from one US industry completed the survey, so conclusions about generalizability should be drawn with caution. Data were cross‐sectional and single‐source. However, the findings were consistent with past research, lending credibility to the results.

Recent research on workforce diversity has highlighted the importance of effectively managing all organizational members. The paper shows that the diversity climate and organizational justice impact employee of color outcomes. Thus, for managers, creating and maintaining a positive, fair diversity climate will be important for attracting and retaining high‐quality professionals of color in US organizations.

The COVID-19 pandemic has brought dramatic life changes to consumers. From the perspective of fashion shopping, this study aims to provide an understanding of how consumers have coped with the pandemic to maintain their physical and mental well-being.

Utilizing an observational research method, this study extracted and analyzed text data from Twitter, focusing on fashion consumption-related tweets posted by consumers in May 2020. Content analysis was employed to reveal consumers' coping strategies during the pandemic.

Through fashion shopping, consumers have employed various strategies to cope with the problems incurred during the pandemic as well as the associated emotional stress. Specifically, problem-focused strategies included both active coping and restraint coping. Emotion-focused strategies included positive reinterpretation, acceptance, mental disengagement and seeking social support.

Theoretically, this study provides empirical evidence for the Coping Orientation to Problems Experienced (COPE) Inventory in the context of using fashion shopping as a venue to cope with a pandemic. Managerial implications are also provided for the fashion industry as well as human service providers to better prepare for future public health crises.

There is growing interest in the use of human-like social robots, able to undertake complex tasks whilst building consumer engagement. However, further exploration is needed on the optimal level of humanoid appearance for service robots. In particular, the literature is limited with respect to mitigating disconfirmed expectations for robots high in human-likeness. This paper aims to address this gap by testing the effect of robot appearance, disconfirmed expectations and warmth (vs competence) on customers’ responses.

The study adopts a mixed-method design by presenting a focus group (Study 1) that guides two laboratory experiments (Studies 2 and 3). Studies 2 and 3 test for the moderating effect of warmth (vs competence) and the mediating roles of perceived eeriness and disconfirmed expectations.

The findings show that a robot high (vs low) in human-likeness leads to higher negative customers’ responses, which is explained by disconfirmed expectations rather than perceived eeriness. However, when customers interact with a warm (vs competent) robot high in human-likeness, this negative effect vanishes.

The paper investigates boundary conditions and underlying mechanisms that affect customers’ experiences. Although the study adopts high realistic experiments, a limitation lies in not measuring customers’ actual behaviours in the field.

This study provides new insights on how the appearance and characteristics of social robots influence the consumers’ experience. By doing so, this study offers managers actionable insights (i.e. enhancing warmth) to lessen the risk of disconfirmed expectations.

The paper offers new explanations as to why human-like robots can generate negative responses from customers. Moving beyond the “uncanny valley” hypothesis, this study shows the key role of disconfirmed expectations in explaining consumers’ negative responses towards humanoid robots. Moreover, it sheds light on the moderating role of warmth (vs competence), which can mitigate such negative effects.