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The ‘Terrible Mother’ traditionally connotes monstrous aspects of motherhood and devouring femininity, encompassing two stereotypical representation of women in myth, fairy tale and fantasy: The Seductress and the Wicked stepmother. The Seductress personifies female malevolence and is characterized as rebellious, manipulative and relentless. Furthermore, she often adopts male aggressiveness, especially sexual, thus usurping male prerogative. Ironically, the temptress is condemned for exhibiting traits which the male hero is lauded for, while also embodying a warning to other women regarding their fate should they rebel against male authority. These narrative strands converge in Cersei, who becomes an embodiment of male anxiety and stands as the chief moral foil and greatest sociopolitical threat to male hegemony.

Concomitantly, Cersei plays the part of the wicked stepmother to Sansa Stark, the series' archetypal damsel in distress. Like Sansa, Cersei began with starry-eyed dreams of womanhood, but quickly grew disillusioned. Despite this, Cersei subjects Sansa to the same injustices she suffered. This re-enactment of her own mistreatment situates Cersei as the female accomplice to the patriarchy. Yet, Cersei also attempts to educate Sansa about women's position vis-à-vis the patriarchy and the tools at their disposal, thus layering the role of the wicked stepmother. Furthermore, Cersei's narrative is complicated as she becomes a point of view character: her focalization becomes a fertile ground for myriad challenges to an androcentric culture, opening avenues for social criticism and possible reimagining of gender roles.

In this paper, we conduct a conceptual and bibliographic analysis of the literature that deals with the international strategy of state-owned enterprises (SOEs), with particular attention to SOEs from emerging economies (EEs). We first review the state of the art in defining the concepts of EEs and SOEs. We then conduct a detailed bibliographic analysis of the literature pertaining to SOEs’ involvement in international activities, whether as outward foreign investors or as potential local partners of inward-investing multinational enterprises. The analysis covers general trends in the literature, prominent research questions and outcome variables, use of theories, and choices pertaining to methodology (type of research and effects, empirical contexts). We document a literature that is fast-growing and well balanced in some respects. In other respects, we advance recommendations pertaining to (a) consistency and precision in the use of the concepts of “state-owned enterprise” and “emerging economy”; (b) search for specific evidence on the outward activities of EE SOEs in less-developed economies and even in other EEs, and on their performance; (c) understanding of relative propensities of local SOEs and inward investors to collaborate, and what happens when SOEs encounter each other across borders; (d) opportunities to strengthen the theoretical foundations and contributions of this research; and (e) minding the mix of home and host countries in studies and avoiding undue generalization from what has become a predominantly China-centric literature.

This paper synthesizes existing experimental research in the area of investor perceptions and offers directions for future research. Investor-related experimental research has grown substantially, especially in the last decade, as it has made valuable contributions in establishing causal links, examining underlying process measures, and examining areas with little available data. Within this review, I examine 121 papers and identify three broad categories that affect investor perceptions: information format, investor features, and disclosure credibility. Information format describes how investors are influenced by information salience, information labeling, reporting and accounting complexity, financial statement recognition, explanatory disclosures, and proposed disclosure changes. Investor features describes investors’ use of heuristics, investor preferences, and the effect of investor experience. Disclosure credibility is influenced by external and internal assurance, management credibility, disclosure characteristics, and management incentives. Using this framework, I summarize the existing research and identify areas that would benefit from additional research.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

We study the decision-making process behind business model change, focusing specifically on the tactics managers employ to gain support for such changes. We first argue for the prominent role of middle management in business model change, and second, we revisit the literature on issue selling and championing as they may apply to business model change decision-making. We subsequently analyze the case of a business model change initiative in the Dutch water authority sector, revealing two specific tactics that middle management employed to obtain top management’s agreement to business model change: leveraging external agreements and continuously informing top management. We discuss how these findings extend and in some ways suggest a rethink of the literature on organizational change. Finally, we describe the specificities of business model change that distinguish it from other types of change. In sum, this paper demonstrates the interest of research at the nexus of business models and organizational change.

The management of consumer privacy has become a critical concern for organizations in the age of artificial intelligence–powered marketing. The impact of data on the market environment has brought both benefits and challenges, with marketers gaining valuable insights but also raising privacy concerns. As artificial intelligence–powered marketing advances, consumer vulnerability increases due to the sensitivity of collected data. This vulnerability leads some consumers to resort to falsifying information, posing a significant threat to the digital economy. Privacy empowerment and customer control play a vital role in addressing these challenges. This chapter explores the influencing factors and ethical considerations surrounding data falsification. It also discusses strategies to mitigate perceived vulnerability through privacy controls and explores the consequences of data breaches and customer vulnerability. The chapter further emphasizes the need for organizations to balance benefits, risks, and customer trust while harnessing the value of customer data. An ethical framework for data privacy marketing audits is proposed to help organizations assess their data practices responsibly and competitively. By integrating personal data protection strategies within an ethical framework, organizations can protect consumer privacy, enhance customer trust, and maintain their competitive edge in the market.

Perinatal mental health (PMH) is acknowledged as a significant public health issue associated with significant personal, family, social and economic burden. Research demonstrates that healthcare practitioners lack knowledge and confidence in this area but there is likely to be a complexity of factors that may influence practitioner behaviours, including negative attitudes towards people with mental health and inaccurate illness perceptions. The purpose of this paper is to evaluate the psychometric properties of the Perinatal Illness Perceptions Scale (PIPS), a conceptual derivation of the Illness Perception Questionnaire – Revised.

A cross-sectional and exploratory instrument development design, using exploratory factor analysis, was employed.

The scale demonstrated good psychometric properties revealing three sub-scales: causes, consequences (mother); consequences (baby).

The findings implicate the PIPS as the first robust psychometric measure, which can be used to in the assessment of practitioner knowledge of the causes and consequences of PMH. The PIPS could offer the opportunity to assess these domains within both educational and training context and identify practitioner attitudes which may affect clinical decision making and referral decisions.

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.