Crafting Spaces: Deleuzian Perspectives on Women's Identity Work in Male‐Dominated Jobs

ABSTRACT This paper proposes Deleuzian concepts of becoming minor, lines of flight, and deterritorialization and reterritorialization as a way of understanding identity work based on the experiences of women in male‐dominated jobs. We suggest that Deleuze's frame emphasizes fluidity and rejects category‐limited choices, and it opens up the possibility of engaging with new agentic framing for women utilizing identity work to craft spaces for themselves in a male‐dominated work environment. Through a thematic analysis of the experiences of 15 (semi‐)skilled women in routine‐task, manual, male‐dominated jobs across three male‐dominated industries in South Africa, we propose an alternative lens for examining women's identity work. This lens both challenges and expands traditional theories, highlighting the nuanced strategies and agentic behavior employed by workplace minorities to carve out niches for themselves in job spaces that often position them at the periphery.(German Academic Exchange Service

Decomposing informed trading in equity options

We develop a multi-asset model to decompose informed trading into the components concerning the underlying stock-value and the volatility in equity options. We isolate the stock-value and volatility components by characterizing their distinct intraday price responses in contracts with different option deltas and vegas, respectively. The stock-value (volatility) component represents on average 41 % (19 %) of the option spread, which remains substantial under various statistical validity analyses and robustness checks. In daily empirical applications, we also show that volatility-informed trading anticipates a 'Volmageddon' high-volatility event, and straddle trades are positively associated with volatility-informed trading.(Agencia Nacional de Investigación y Desarrollo, Division of Grants & Agreements, Directorate for Computer & Information Science & Engineering, City University of New York

A state-market interplay framework for strategic knowledge management in Chinese MNEs

The internationalization of Chinese multinational enterprises (MNEs) has triggered a rapid rise in research on their knowledge management practices. However, this literature lacks a coherent theory to explain variation in Chinese MNEs’ knowledge management strategies in and over time. In particular, we still lack an understanding of how firms navigate the unique tension between a home-country state-as-strategist and the market-led logic of global competition. To address this theoretical gap, this paper draws on a systematic review of 150 articles to develop a state-market interplay framework for the strategic knowledge management of Chinese MNEs. Our framework explains how the relationship between state-led and market-led logics generates three distinct strategic modes, each with a corresponding dominant knowledge management strategy: (1) Subordinated Interplay emphasizing knowledge acquisition; (2) Conflicting Interplay focused on knowledge transfer; and (3) Integrated Interplay concentrating on global knowledge creation. We also identify firm-level capabilities and external and internal catalysts that influence transitions between modes. The study contributes to International Business theory and the knowledge-based view by offering a typology of state–market interplay in state-capitalist economies and by explaining the institutional contingencies of firms’ knowledge strategies. We conclude by outlining avenues for future research

Make Talent Work: Unravel the 6 B's of Talent Management in Your Company

Based on the 6 Bs - Buy, Build, Bind, Borrow, Boost and Bounce - this book shows how to unlock human potential and turn it into real business value. Talent doesn't manage itself. In a world where people make the difference, smart talent management is your biggest competitive edge. This book reveals a clear, strategic approach to attracting, developing and retaining the people who truly matter. Based on the 6 Bs - Buy, Build, Bind, Borrow, Boost and Bounce - it shows how to unlock human potential and turn it into real business value. A must-have for leaders who take talent seriously

Does Algorithmic Trading Induce Herding?

ABSTRACT Algorithmic trading (AT) plays a major role in the trading activities of developed markets. This research breaks new ground by investigating how AT influences herding behaviour in stock markets. Utilising the implementation of the Markets in Financial Instruments Directive (MiFID II), we show that AT‐induced herding is quantitatively 14 times more pronounced compared to herding triggered by non‐AT elements. Algorithmic traders herd more when international volatility and market uncertainty are high, revealing a heightened sensitivity to global market signals. However, during periods of high local volatility, AT seems to disregard these fluctuations, indicating an ‘inattention effect’. AT‐induced anti‐herding is prominent in the volatile aggressive stocks, while no such behaviour is observed in the more stable defensive stocks. The findings carry critical implications for both regulators and market professionals, as we uncover dual behaviours of AT‐induced herding and anti‐herding in varying market conditions

Does Algorithmic Trading Induce Herding?

ABSTRACT Algorithmic trading (AT) plays a major role in the trading activities of developed markets. This research breaks new ground by investigating how AT influences herding behaviour in stock markets. Utilising the implementation of the Markets in Financial Instruments Directive (MiFID II), we show that AT‐induced herding is quantitatively 14 times more pronounced compared to herding triggered by non‐AT elements. Algorithmic traders herd more when international volatility and market uncertainty are high, revealing a heightened sensitivity to global market signals. However, during periods of high local volatility, AT seems to disregard these fluctuations, indicating an ‘inattention effect’. AT‐induced anti‐herding is prominent in the volatile aggressive stocks, while no such behaviour is observed in the more stable defensive stocks. The findings carry critical implications for both regulators and market professionals, as we uncover dual behaviours of AT‐induced herding and anti‐herding in varying market conditions

Entrepreneurial Finance

Rigorously revised, with brand new chapters on additional private sources of funding, due diligence, sustainable finance, and deep tech investing, the second edition of this successful textbook provides a cutting-edge, practical, and comprehensive review of the financing of entrepreneurial ventures. From sourcing and obtaining funds, to financial tools for growing and managing the financial challenges and opportunities of the startup, this engaging text will help entrepreneurs, students, and early-stage investors to make sound financial decisions at every stage of a business' life. The text is grounded in sound theoretical foundations with a strong European perspective and reference to the Middle East and Africa. New case studies and success stories, and up-to-date perspectives from experts and the media, provide real-world applications, while a wealth of activities give students abundant opportunities to apply what they have learned. A must-have text for graduate and undergraduate students in entrepreneurship, finance, and management programmes, as well as aspiring entrepreneurs and early-stage investors in any field

A data-driven Component Risk Matrix to assess supply chain disruption risk

We present a data-driven approach to assess supply chain disruption risk at the component level. Our ‘Component Risk Matrix’ categorizes components based on their predicted stock break frequency and severity. Our predictive models employ an XGBoost model with historical disruption data and each component's unique characteristics. Our approach enables prioritizing components for resilience measures by quantifying their criticality and identifying the key drivers behind this criticality. We validate our methodology on 1867 components from an original equipment manufacturer, demonstrating its practical applicability and providing insights toward risk mitigation. This data-driven approach empowers companies to strategically build supply chain resilience in designing their products and supply chains

Who I Am Not: Enhancing Self-Clarity through Cultivating Not-Me Identities

How do people develop and leverage self-definitions of who and what they are not, or their “not-me” identities, to navigate their work lives? In contrast to dominant portrayals of not-me identities as negative or oppositional, we explore how they can serve as resources in identity work. Drawing on a grounded theory study of 80 interviews with independent workers and clients, we identify a process we call “identity filtering.” Through this process, individuals identify and disconfirm misaligned role or relational elements, cultivating not-me identity repertoires that serve as reference points for how they engage in and shape their role-relationships. We identify two distinct pathways: some individuals enact their not-me identities through setting boundaries and role screening, which in turn enhance their self-clarity. Others suppress their not-me identities by engaging in enmeshment, which generates emotional strain. These diverging paths emerge through distinct underlying mechanisms: self-worth and desire for control both enable enactment, while adaptability constrains it. By reconceptualizing not-me identities as resources, this study advances identity theory and deepens understanding of how (independent) workers navigate fluid role-relationships and uncertainty in contemporary work.(Academic Research Fund (ARF) (ARF)

When CEOs Win, So Do Shareholders: Evidence From Well-Aligned Firms

This paper explores distinguishing characteristics related to CEO traits and the design of CEO compensation in firms where total CEO compensation levels are well-aligned with shareholder returns. It utilizes a hand-collected dataset drawn from STOXX Europe 600 firms. Adopting an exploratory, industry-relative approach, the analysis compares CEO compensation rankings with total shareholder return (TSR) rankings across companies within the same industry. Firms are grouped based on the degree of consistency between granted CEO compensation and shareholder returns. The study identifies distinguishing characteristics of firms where CEO compensation is strongly aligned with shareholder returns. These firms feature shorter-tenured and externally appointed CEOs, a more limited proportion of long-term incentives, and more targeted use of ESG criteria, with climate metrics more often linked to short-term incentives and workforce-related goals tied to long-term incentives