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Past research has shown there is a relationship between body image, sexual behavior, and pleasure. However, the majority of this research has centered on heterosexual participants. In this analysis, the author considers how this relationship between body image, sexual behavior, and pleasure may look within women and genderqueer individuals who are all AFAB (assigned female at birth) with 26 out of 30 participants identifying as LGBTQIA+. The author examines perceptions of body size, body hair, and genitals to consider how intersections of social structures – specifically internalized sexism, racism, and misogyny – influence the participants’ experience of sexual interactions. Both resistance and embodiment of traditional gender norms, even as queer women and genderqueer individuals, were examined in these narratives. The majority of the moments where traditional gender norms are examined describe situations when the participants were sexually interacting with cis-gendered men.

The purpose of this paper is to systematically review authenticity in the branding context and suggest avenues for future research.

This study applies a systematic literature review process and analyzes a total of 171 articles published from 1988 to 2021 and three items that are books or book chapters.

Brand authenticity has several definitions and dimensions. Although some common ground can be found among researchers, the study of authenticity is very fragmented. Even so, brand authenticity is often associated with a brand being genuine, real, true to itself and its consumers, and with consistent behavior, reflecting its values. A growing number of studies about the topic have been published, most of them empirical, applied in different industries and different geographical contexts. The authors also present several constructs associated with the topic (antecedents and consequences). Finally, this study shows paths for scholars to build on.

The main limitations are associated with the inherent subjectivity related to the inclusion and exclusion criteria defined to select articles for the analysis.

This systematic review maps the past, structures existing knowledge about authenticity in the branding context, and sheds light on what could be future research in this field.

We studied the relationship between job engagement and systematic problem solving (SPS) among shop-floor employees and how lean production (LP) and Internet of Things (IoT) systems moderate this relationship.

We collected data from a sample of 440 shop floor workers in 101 manufacturing work units across 33 plants. Because our data is nested, we employed a series of multilevel regression models to test the hypotheses. The application of IoT systems within work units was evaluated by our research team through direct observations from on-site visits.

Our findings indicate a positive association between job engagement and SPS. Additionally, we found that the adoption of lean bundles positively moderates this relationship, while, surprisingly, the adoption of IoT systems negatively moderates this relationship. Interestingly, we found that, when the adoption of IoT systems is complemented by a lean management system, workers tend to experience a higher effect on the SPS of their engagement.

One limitation of this research is the reliance on the self-reported data collected from both workers (job engagement, SPS and control variables) and supervisors (lean bundles). Furthermore, our study was conducted in a specific country, Italy, which might have limitations on the generalizability of the results since cross-cultural differences in job engagement and SPS have been documented.

Our findings highlight that employees’ strong engagement in SPS behaviors is shaped by the managerial and technological systems implemented on the shop floor. Specifically, we point out that implementing IoT systems without the appropriate managerial practices can pose challenges to fostering employee engagement and SPS.

This paper provides new insights on how lean and new technologies contribute to the development of learning-to-learn capabilities at the individual level by empirically analyzing the moderating effects of IoT systems and LP on the relationship between job engagement and SPS.