The practice of ‘greenwashing’ may be characterized as the fabrication of green claims by organizations to portray a positive image. Greenwashing has not been examined in the United Arab Emirates, and the fashion sector is considered the second largest consumer of harmful chemicals, excessive water use, and non-compliant waste management practices behind the oil and gas sector. Using in-depth semi-structured interviews with fast fashion consumers in the UAE, an exploratory qualitative inquiry was conducted with a focus on the ‘seven sins (...) of greenwashing’ and ‘competitive altruism’ theories and the consumer perceptions of green claims made by major apparel manufacturing and retail firms in the UAE were investigated. A conceptual framework was developed to better understand the nature of corporate altruistic behavior and perceived advantages of green initiatives. The exploratory qualitative inquiry used for this study provided a great opportunity for gathering detailed information on consumer perceptions of greenwashing practices in the UAE. Future research and statistical representation are needed to cross reference the data and test the framework suggested here. (shrink)

Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker. More popularly known by its commercial moniker, Emotional AI, the technology stems (...) from advancements in affective computing. But whereas previous generations of biometric monitoring targeted the exterior physical body of the worker, concurrent with the writings of Foucault and Hardt, we argue that emotion-recognition tools signal a far more invasive disciplinary gaze that exposes and makes vulnerable the inner regions of the worker-self. Our paper explores attitudes towards empathic surveillance by analyzing a survey of 1015 responses of future job-seekers from 48 countries with Bayesian statistics. Our findings reveal affect tools, left unregulated in the workplace, may lead to heightened stress and anxiety among disadvantaged ethnicities, gender and income class. We also discuss a stark cross-cultural discrepancy whereby East Asians, compared to Western subjects, are more likely to profess a trusting attitude toward EAI-enabled automated management. While this emerging technology is driven by neoliberal incentives to optimize the worksite and increase productivity, ultimately, empathic surveillance may create more problems in terms of algorithmic bias, opaque decisionism, and the erosion of employment relations. Thus, this paper nuances and extends emerging literature on emotion-sensing technologies in the workplace, particularly through its highly original cross-cultural study. (shrink)