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1 – 10 of 491Constantin Bratianu, Alexeis Garcia-Perez, Francesca Dal Mas and Denise Bedford
Running an organization in a rapidly changing world is no easy task. Members of supervisory or executive boards must take the interests of all stakeholders into account. From…
Abstract
Running an organization in a rapidly changing world is no easy task. Members of supervisory or executive boards must take the interests of all stakeholders into account. From shareholders, employees and suppliers, to customers, and beyond. Yet reaching the boardroom is equivalent to running a Spartan marathon. At a time when complexity is increasing and technological developments are hard to keep up with, the stakes for organizations and candidates are high. In this chapter, we explore the context of executive search: major trends, the profile of the executive search sector and the types of firms that operate in it. We de-mystify the process: the selection, search, presentation and accompaniment of candidates, looking at the responsibilities of the key players and the accompanying performance pressure and stress. Finally, we propose a vision for the future of executive search and potentially re-think about a professional code of conduct.
An earlier form of this chapter by the author was published in Dutch in “Bestemming Boardroom: over zoeken en gevonden worden” (Boom, Amsterdam, 2018) and in English (online) by the Amrop Partnership (2021) as “Destination Boardroom 1: Three Trends Redefining the Executive Talent Domain.”
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In an era where sustainability and digital transformation are becoming indispensable pillars of successful business operations, this chapter explores the potent synergy between…
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In an era where sustainability and digital transformation are becoming indispensable pillars of successful business operations, this chapter explores the potent synergy between these two paradigms. As businesses strive to align their operations with Environmental, Social, and Governance (ESG) goals, digital transformation emerges as a powerful enabler. This chapter delves into how digital technologies are not only revolutionizing traditional business models but are also paving the way toward more sustainable practices. From data-driven decision-making to improved resource management, this chapter discusses the diverse ways in which digital transformation contributes to sustainability. It also offers an in-depth analysis of real-world case studies, illustrating how businesses have successfully integrated digital transformation in their pursuit of sustainability. Recognizing the potential roadblocks, this chapter also addresses the challenges businesses may face in this journey, including cybersecurity risks, data privacy issues, and the need for technological literacy. It further presents strategies to navigate these challenges and underscores the importance of preparedness in managing potential risks. Finally, this chapter ventures into the future of digital transformation, evaluating current trends and predictions, and their potential impact on sustainable business practices.
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N. Padmaja, Rajalakshmi Subramaniam and Sanjay Mohapatra
Hsing-Hua Chang, Chen-Hsin Lai, Kuen-Liang Lin and Shih-Kuei Lin
Factor investment is booming in global asset management, especially environmental, social, and governance (ESG), dividend yield, and volatility factors. In this chapter, we use…
Abstract
Factor investment is booming in global asset management, especially environmental, social, and governance (ESG), dividend yield, and volatility factors. In this chapter, we use data from the US securities market from 2003 to 2019 to predict dividends and volatility factors through machine learning and historical data–based methods. After that, we utilize particle swarm optimization to construct the Markowitz portfolio with limits on the number of assets and weight restrictions. The empirical results show that that the prediction ability using XGBoost is superior to the historical factor investment method. Moreover, the investment performance of our portfolio with ESG, high-yield, and low-volatility factors outperforms baseline methods, especially the S&P 500 ETF.
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Cara A. Chiaraluce and Lloyd Levine
This chapter demonstrates the ways in which digital inclusion functions as a super social determinant of health, particularly within the arena of family carework and healthcare…
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This chapter demonstrates the ways in which digital inclusion functions as a super social determinant of health, particularly within the arena of family carework and healthcare for vulnerable disabled US communities. The focus on vulnerable populations, including the elderly, chronically ill, young disabled, neurodivergent, and/or medically complex children and the families that care for them, is a useful case to present a compelling argument for the need to take seriously digital inclusion to maximize health, safety, and well-being for growing populations of Americans today. The authors argue that digital inclusion is an increasingly influential social determinant of health and a key dimension of health equity that offers important benefits and potentials, especially for vulnerable patient populations, for whom in-home and family-centered care are necessary parts of health maintenance, prevention, and well-being. The chapter ends with a discussion of ways that the US government can mitigate digital barriers and facilitate equitable access to broadband internet and e-health resources that address the intersections of digital, health, and care inequalities, with significant impacts in all three dimensions.
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Ziwen Gao, Steven F. Lehrer, Tian Xie and Xinyu Zhang
Motivated by empirical features that characterize cryptocurrency volatility data, the authors develop a forecasting strategy that can account for both model uncertainty and…
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Motivated by empirical features that characterize cryptocurrency volatility data, the authors develop a forecasting strategy that can account for both model uncertainty and heteroskedasticity of unknown form. The theoretical investigation establishes the asymptotic optimality of the proposed heteroskedastic model averaging heterogeneous autoregressive (H-MAHAR) estimator under mild conditions. The authors additionally examine the convergence rate of the estimated weights of the proposed H-MAHAR estimator. This analysis sheds new light on the asymptotic properties of the least squares model averaging estimator under alternative complicated data generating processes (DGPs). To examine the performance of the H-MAHAR estimator, the authors conduct an out-of-sample forecasting application involving 22 different cryptocurrency assets. The results emphasize the importance of accounting for both model uncertainty and heteroskedasticity in practice.
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Valerie A. Yeager, Jyotsna Gutta, Lisa Kutschera and Sarah M. Stelzner
This chapter qualitatively explored the impact of including parent liaisons (i.e., parents with lived experience caring for a child with complex needs, who support other…
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This chapter qualitatively explored the impact of including parent liaisons (i.e., parents with lived experience caring for a child with complex needs, who support other caregivers in navigating child and family needs) in a case conferencing model for children with complex medical/social needs. Case conferences are used to address fragmented care, shared decision-making, and set patient-centered goals. Seventeen semi-structured interviews were conducted with clinicians and parent liaisons to assess the involvement of parent liaisons in case conferencing. Two main themes included benefits of parent liaison involvement (10 subthemes) and challenges to parent liaison involvement (5 subthemes). Clinicians reported that liaison participation and support of patients reduced stress for clinicians as well as family members. Challenges to liaison involvement included clinical team/parent liaison communication delays, which were further exacerbated by the COVID-19 pandemic. Parent liaison involvement in case conferences is perceived to be beneficial to children with complex needs, their families, and the clinical team. Integration of liaisons ensures the familial perspective is included in clinical goal setting.
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