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Corporations are confronted with growing demands to take a stand on socio-political issues, i.e. corporate social advocacy (CSA), which affects their reputation in the public. Companies use different CSA message strategies, including calling the public to support and act on the issue they advocate. Using reactance theory, the authors investigate the impact of CSA messages with a call to action on corporate reputation in the case of a company's gender equality initiative.

A one-factorial (CSA message with or without a call to action) between-subjects experiment was conducted by surveying 172 individuals living in Switzerland. The CSA messages were created in the context of gender equality.

The authors' study indicates that CSA messages with a call to action compared to those without overall harmed corporate reputation due to individuals' reactance, which is higher for CSA messages with a call to action, negatively affecting corporate reputation. The impact of the CSA message strategy with a call to action on corporate reputation remains significant after controlling for issue alignment and political leaning.

Communicating about socio-political issues, especially taking a stand, is a significant challenge for corporations in an increasingly polarized society and has often led to backlash, boycotts and damage to corporate reputation. This study shows that the possible adverse effects of advocating for socio-political issues can be related to reactance. It emphasizes that companies advocating for contested issues must be more cautious about the message strategy than the issue itself.

Public relations (PR) research has given little space to the opinions, innovations and experiences of those working in marginalised or ‘dirty’ roles or occupations. To ensure that the worlds of these ‘others’ are represented this chapter explores the lives and work of women working in PR and communication roles in the ‘adult’ industry (worth an estimated $15 billion worldwide). Tibbals notes that ‘the voices and experiences of women working in the adult film industry are often overlooked’ (2013, p. 21) and dismissing a highly profitable but ‘dirty’ sector is to overlook and denigrate the people who work in it and the experiences and knowledge created therein. To explore my research questions I gathered informal interview data from women working in PR and combined this with published literature which recorded the lives of women who carried out PR and communications roles in the adult industry. My research demonstrates that high quality PR work is carried out within the adult industry and that the industry attracts women from diverse backgrounds, many of whom progress quickly within a meritorious environment. Nonetheless, these women often feel difficulty in explaining or justifying their work to family and friends and have strategies to avoid discussing their work to those outside the industry. They also have to work within a media environment where adult industry issues are not well or correctly reported.

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.