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Selective electron beam melting (SEBM) is a highly versatile powder bed fusion additive manufacturing method. SEBM is characterized by high energy densities which can be applied with nearly inertia free beam deflection at high speeds (<8.000 m/s). This paper aims to determine processing maps for Ti-6Al-4V on an Arcam Q10 machine with LaB6 cathode design.

Scan line spacings of 100, 50 and 20 µm in a broad parameter range, focusing on high deflection and build speeds are investigated.

There are broad processing windows for dense parts without surface flaws for all scan line spacings which are defined by the total energy input and the area melting velocity.

The differences and limitations are discussed taking into account the beam properties at high beam energy and velocity as well as evaporation related loss of alloying components.

Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes (DT pillars). Artificial intelligence (AI) plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”.

Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software.

The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars.

The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research.

Strengthening the nation’s technological workforce, competing and expanding its relevance in the global economy, and maintaining personal as well as homeland security will be highly dependent on the quantity, quality, and diversity of the next generations of scientists, engineers, technologists, and mathematicians. Production of a diverse generation of human resources with relevant, competitive skills is critical. However, so too is the need to raise an enlightened citizenry with cross-cultural experience and cultural awareness competency, with a broad worldview and global perspectives. These requirements are critical to understanding the challenges and opportunities of scholarly activity in a pluralistic global environment and positioning ourselves to capitalize upon them. Scholars with cross-cultural experience and competency are empowered to adapt and work collaboratively, nationally and globally, with scholars of different races, geopolitical, socioeconomic, and cultural backgrounds. Development of effective strategies to transform science, technology, engineering, and mathematics (STEM) departments for inclusion and to broaden the participation in STEM across cultures, socioeconomic standing, race, and gender in higher education has been a dominant topic of pedagogical interest of national priority in the last several decades. However, success in these endeavors is achievable only through systemic change and a cultural shift to address the underlying root causes of socioeconomic disparity, gender, and racial disparities and a paucity of cultural awareness among all educational stakeholders. STEM departments can only be truly transformed for inclusion through the development of sensitive, creative, and student-engaging curricula and targeted recruitment and retention of underrepresented minorities in STEM. Formation of well-coordinated alliances spanning educational sectors, governmental and non-governmental organizations, and community engagement and outreach are also critical to promoting inclusive and broad participation in STEM education.

The first section of the chapter gives an introduction to various challenges, obstacles, and hindrances that prevent a successful transformation of K–12 science education as well as STEM departments in higher education for inclusion. The second section discusses historical perspectives of the University of Arkansas-Fort Smith (UAFS) – the institutional profile, missions, and visions of UAFS as a regional university. Policies and strategies for addressing the socioeconomic disparity, faculty gender, and racial disparities and cultural competency awareness at UAFS are also highlighted in this section. Other approaches including targeted efforts to recruit and retain underrepresented minority students, provision of financial assistance for students from low-income families, and a creative “Math-up” curriculum innovation to promote inclusive and broad participation in STEM at UAFS are highlighted in the latter section of the chapter. Formation of alliances between UAFS, local K–12 school districts, and governmental and non-governmental agencies to promote broad participation in STEM at UAFS are discussed. The last section of the chapter provides recommendations for adaptation and sustainability of strategies and efforts aimed at transforming national STEM departments for inclusion.

The attempt to establish a common European framework for core platforms' duties and responsibilities toward other actors in the digital environment is at the core of the recent scholarly debate surrounding the Digital Markets Act (DMA) proposal. In particular, the everlasting juxtaposition between the “data power” – as emerging from recent cases (Section 2) – that dominant tech companies enjoy and the concept of consumer sovereignty (Section 3) lies at the core of the proposal's attempt to identify digital core platforms as market gatekeepers. Accordingly, this chapter critically investigates the divide between power imbalance and consumer sovereignty in light of the architecture designed by the DMA, with a specific focus on its effectiveness in identifying gatekeepers' power drivers (Section 4). After highlighting the main critical aspects of the pertinent rules, opportunities for fruitful developments are then identified through the reframing of some of the notions considered in the proposal, and namely the role of “lock-in” effects and “data accumulation” (Section 5). Lastly, this chapter suggests that the DMA advancements – while desirable – are bound to be fragmentary in the absence of a wider appraisal of the nature of data power imbalance dynamics in the modern digital markets (Section 6).

This chapter develops a novel bootstrap procedure to obtain robust bias-corrected confidence intervals in regression discontinuity (RD) designs. The procedure uses a wild bootstrap from a second-order local polynomial to estimate the bias of the local linear RD estimator; the bias is then subtracted from the original estimator. The bias-corrected estimator is then bootstrapped itself to generate valid confidence intervals (CIs). The CIs generated by this procedure are valid under conditions similar to Calonico, Cattaneo, and Titiunik’s (2014) analytical correction – that is, when the bias of the naive RD estimator would otherwise prevent valid inference. This chapter also provides simulation evidence that our method is as accurate as the analytical corrections and we demonstrate its use through a reanalysis of Ludwig and Miller’s (2007) Head Start dataset.

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this chapter, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in Austria, and discuss implementation issues that may arise in similar settings, including the use of bandwidth selection algorithms and bias-correction procedures. Although recent developments in nonparametric estimation (Calonico, Cattaneo, & Farrell, 2014; Imbens & Kalyanaraman, 2012) are sometimes interpreted by practitioners as pointing to a default estimation procedure, we show that in any given application different procedures may perform better or worse. In particular, Monte Carlo simulations based on data-generating processes that closely resemble the data from our application show that some asymptotically dominant procedures may actually perform worse than “sub-optimal” alternatives in a given empirical application.

The efficient market hypothesis (EMH) states that asset prices in financial markets always reflect all available information about economic fundamentals. The purpose of this paper is to provide a guide as to which predictions of the EMH seem to be borne out by empirical evidence.

Rather than following the classic three groups of tests for the different forms of EMH that are common in the literature, the authors consider how the two alternative definitions of the EMH and the joint hypothesis problem impact on the tests and leave the controversy unsolved. The authors briefly report the antecedents, the main theoretical and empirical contributions and recent literature on each type of tests.

Eventually, as a summary for each type of tests, the authors provide a critical view on the main sources of acrimony between the alternative schools of thought in understanding asset price formation.

The paper may be seen as an up-to-date introductory review for researchers on the different tests of the EMH performed, and for newcomers to understand the key sources of acrimony between rationalists and behaviorists.

The transfer of organizational practices or management instruments in the multinational firm often requires adaptations to the local context of subsidiaries and is, as such, revealing cultural and institutional particularities. Among the multinational firm’s management instruments, the codes of conduct are closely linked to the values and standards of conduct of the parent company. Being instruments of North American origin, codes of conduct were, in the last 20 years, gradually institutionalized first in North American multinational companies and then more frequently in European multinational companies. Several studies showed the difficulties of implementing these instruments in countries as diverse as France, Germany, Israel and China and stressed the importance of coherence between values, local organizational practices and acceptability of codes by employees of the subsidiaries. The purpose of this paper is to study the specificity of the Lebanese context from a new perspective by showing whether codes of conduct were adapted and by explaining the reasons of these adaptations. This research also highlights the differences between American and European multinational companies regarding the transfer of their codes of conduct.

The study used a multiple case study approach. Interviews were conducted in ten Lebanese subsidiaries of multinational companies, four of North American origin and six of European origin.

The study showed adaptations done to transferred codes of conduct in Lebanese subsidiaries. The study also reveals differences between American and European MNCs.

The study sheds light on host-country factors explaining the adaptation of codes of conducts transferred to Lebanese subsidiaries.

The purpose of this paper is to provide empirical evidence on the gender wage differential of labor market entrants and the determinants of their starting wages.

The paper makes use of a unique data set on graduates in economics from a large German university that contains detailed information on the graduates’ course of study, their additional qualifications and their transition from university to the labor market. Based on these data, Mincer-type earnings functions as well as wage decompositions as proposed by Blinder (1973) and Oaxaca (1973) are performed.

The paper finds a significant gender wage differential of 7 percent. Blinder-Oaxaca decompositions suggest that the major part of this gap remains unexplained by gender differences in observable characteristics.

The main feature of our analysis – having a highly homogeneous sample of graduates from a single university – comes at the costs of reduced ability to draw generalized conclusions from our findings.

This paper investigates the determinants of entry wages for a homogeneous group of high-skilled workers using a unique data set of graduates in business and economics from a large German university. Concentrating on a highly homogeneous sample limits the problem of unobserved heterogeneity, which results in an overestimation of the unexplained component of standard decompositions analyses. Hence, the finding that a large part of the gender pay gap remains unexplained can be considered as an indicator for gender discrimination in the labor market for economics graduates.