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Health professionals are in an ethical dilemma. The patients should be assumed as competent. Involuntary treatment is a violation of human rights. Therefore incompetent patients should be protected. However, one cannot determine a patient's incompetency without testing him/her, which is a violation of the assumption of competency. Thus, we propose two different types of uses for competency tests. One is to measure the appropriateness of information disclosed,but with a poor test result the information should be repeated. Another is to measure the competency of the patients when making major decisions. A poor test result will be followed by the designation of a proxy so that incompetent patients can be protected.

This chapter introduces the concept of “competency labor” and illustrates its important role in organizational life for both researchers and practitioners. In the contemporary workplace environment individuals face increasing expectations of competence. However, demonstrating competence is no simple task – rather, to demonstrate competence requires a concerted effort in terms of individuals’ affect, cognition, and behavior. Accordingly, new models are needed that can explain these emergent processes. The present work integrates the literatures related to emotional labor and impression management, and builds a theory-based framework for investigating the processes (affective, cognitive, and behavioral) of making desired impressions of competency at work and how these processes impact critical individual and organizational outcomes. Our conceptual model proposes how growing demands in the workplace for individuals to display competence affect how they think, feel, as well as act. In sum, our work advocates that a new research stream is needed to better understand the “competency labor” phenomenon and its theoretical as well as practical implications.

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.

This chapter presents a new model for developing and assessing the decision competencies of executive decision-makers. Prior models consider individual and group decision-making but neglect to consider the impact of group-interactive decision-making on real-world problem-solving and sense-making activities. In the present study experimental protocols represent an approximation of a realistic business decision-making process, where decision-makers consult with groups of stakeholders and then make decisions on their own. The model juxtaposes decision competence with the level of decision confidence with which decisions are made. The study furnishes an objective test for this phenomenon, resulting in quantitative empirical evidence of either follow-the-herd (FTH) behavior, or group-forged individual decisions (GFID), or follow-my-own-mind (FMOM) individual decision behavior. The study investigates the impact of group-interactive decision processes on hubristic behavior – decision-makers who make poor/wrong decisions, but remain confident in their choices, judgments, and decisions. The resulting management decision competency model provides an inter-disciplinary matrix, of benefit to human resource development specialists, and provides scholars in organizational behavior and leadership development with guidance for current and future research into group dynamics and decision competencies.

The traditional and still dominant logic among nearly all empirical positivist researchers in schools of management is to write symmetric (two-directional) variable hypotheses (SVH) even though the same researchers formulate their behavioral theories at the case (typology) identification level. Cyert and March’s (1963), Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm. Englewood Cliffs, NJ: Prentice-Hall), Howard and Sheth’s (1969, Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. New York, NY: Wiley), and Miles, R. E., & Snow, C. C.’s (1978, Miles, R. E., & Snow, C. C. (1978). Organizational strategy, structure, and process. [A. D. Meyer, collaborator; H. J. Coleman Jr., contributor]. New York, NY: McGraw Hill) typologies of organizations’ strategy configurations (e.g., “Prospectors, Analyzers, and Defenders”) are iconic examples of formulating theory at the case identification level. When testing such theories, most researchers automatically, nonconsciously, switch from building theory of beliefs, attitudes, and behavior at the case identification level to empirically testing of two-directional relationships and additive net-effect influences of variables. Formulating theory focusing on creating case identification hypotheses (CIH) to describe, explain, and predict behavior and then empirically testing at SVH is a mismatch and results in shallow data analysis and frequently inaccurate contributions to theory. This chapter describes the mismatch and resulting unattractive outcomes as well as the pervasive practice of examining only fit validity in empirical studies using symmetric tests. The chapter reviews studies in the literature showing how matching both case-based theory and empirical positivist research of CIH is possible and produces findings that advance useful theory and critical thinking by executives and researchers.

This chapter examines the role that resource support and decision autonomy play in the successful launch of corporate entrepreneurial initiatives. Specifically, this study assesses whether entrepreneurial initiatives receiving higher levels of support from top management and more resource contributions in key functional areas actually have higher levels of performance. Additionally, this study investigates whether or not the entrepreneurial initiatives that receive greater decision autonomy in the same critical functional areas will experience higher levels of performance. Hypotheses arguing these points are tested using data obtained from the Internet divisions of major metropolitan newspapers. This allows for the discovery and evaluation of an opportunity (i.e., the Internet) to be held constant, so that a better understanding of the exploitation stage of the entrepreneurial process might be obtained. Results suggest the importance of resource support and decision autonomy to initiative performance, but with more importance being placed on the marketing functional group for resource support and the accounting and legal functional areas for decision autonomy.

After establishing that the requirement that those criminals who stand for execution be mentally competent can be given a recognizably retributivist rationale, I suggest that not only it is difficult to show that executing the incompetent is more cruel than executing the competent, but that opposing the execution of the incompetent fits ill with the recent abolitionist efforts on procedural concerns. I then propose two avenues by which abolitionists could incorporate such opposition into their efforts.

Gender equality is a part of the United Nation’s championed sustainable development goal which reflects the global policy priority of bringing women to the table as decision-makers. The year 2021 has seen the highest record of women serving as heads of state and/or government and political representation at national parliaments. However, there seems to be a greater challenge for women to achieve equal political representation as the COVID-19 pandemic that hit the world in 2020 has slowed down women’s political progress at the global level. Until April 2021, COVID-19 has resulted in more than six million casualties and many countries have resorted to taking strict measures to contain the widespread of the virus especially prior to the administration of the vaccines. The strict measures taken by governments worldwide include border closures, extensive contact tracing, physical distancing, and restriction of movements. The pandemic is proven to be precarious not only to public health but also to democracy around the world as governments are given a free pass to silence protests, clamp down on opposition and critics as well as greater control over public movements by using COVID-19 management as a justification. This also has halted the progress made by women’s movements and political activists in championing women’s political representation. Malaysia is one of the countries that imposed long and strict COVID-19-related security and safety measures. This chapter seeks to analyse how COVID-19 is utilized by political institutions specifically the state to embrace or resist changes. COVID-19 is a possible critical juncture that provides opportunities for the state and political parties to renegotiate their structures, values, and positions in society to accommodate women. To explore the gendered responses of political institutions to COVID-19, this chapter identifies two areas to be examined within the Malaysian context (1) the gendered effects of the changes in state structures due to political instability during COVID-19, and (2) government policies that address women during the peak of the COVID-19 period. The results of this study will provide useful insights into the important factors that influence the utilisation of critical junctures either to break a new path or maintain the existing path dependency on political institutions’ policymaking related to gender issues.

The study here helps to fill the gap between the current practices of management performance audits for firms and government agencies. The study advances recent theories of program evaluation and marketing management auditing. While the application in this chapter refers to government agencies managing destination marketing programs (tourism agencies), the algorithmic model construction is applicable for all management audits. The study applies the perspectives from two streams of theory to describe five relevant activities for managing destination marketing programs: scanning, planning, implementation, assessing, and administering. The analysis proposes impact assessments to improve management performances of DMOs via checklists for assessing the quality of information in tourism-management performance audits. Checklists can serve as a management tool by management performance auditors and by DMO executives to enhance the quality in executing destination marketing programs. A meta-evaluation of 10 tourism management audit reports identifies good and bad practices. The findings indicate that substantial improvements are possible in the practice of DMO’s management performance auditing, and the proposed checklist may ensure both high quality performance audit reports and improved performances in DMO practices.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.