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This chapter examines the effect of mutual monitoring and the personality trait of need for achievement on subordinates’ budgetary-slack creation in a team-based environment. Experimental results show that the creation of budgetary slack is lower when mutual monitoring is present than when it is absent. The results also show that a two-way interaction between mutual monitoring and the personality trait of need for achievement affects subordinates’ budgetary-slack creation.

This chapter focuses on two aspects of the achievement gap – underachievement and low achievement among Black males in urban school contexts. More specifically, the authors explain several problems/issues confronting Black male students in P-12 gifted and talented, advanced placement, and special education programs, along with the school-to-prison pipeline – inequitable discipline in the form of suspensions and expulsions. We parse underrepresentation and overrepresentation for this student group. A central part of this discussion is grounded in the achievement gap literature on Black students in general with implications for Black males in particular. Another fundamental aspect of this discussion is the need for educators to adopt an anti-racist (social justice or civil rights) and cultural competence approach to their work, which means being equity-based and culturally responsive in philosophy and action. Suggestions for closing the achievement gap and otherwise improving the achievement of Black males are provided for educators. We also compel educators to go beyond talking about equity by setting quantifiable equity goals for minimum and maximum percentages (and numbers).

The literature on post-completion reviews (PCRs) either does not deal with the tying of PCRs to extrinsic rewards or provides scant theoretical reasoning or empirical analysis to back up its recommendations.

Based on research from psychology and empirical studies, the present chapter proposes that several effects of a PCR, which must be deemed rather dysfunctional, will increase when extrinsic rewards are linked to such a review. At the same time some possibly functional effects, however, are likely to remain constant. The propositions, therefore, call the usefulness of tying PCRs to rewards into question and call for further investigation.

Implicit motives are capacities to experience specific types of incentives as rewarding and specific types of disincentives as aversive (Atkinson, 1957; Schultheiss, 2008). Because implicit motives determine which stimuli are affectively “hot”, they also orient the person's behavior toward those stimuli, energize behavior aimed at attaining (or avoiding) them, and select stimuli that predict their proximity and behaviors that are instrumental for attaining (or avoiding) them (McClelland, 1987).

Due to the strategic, economic, and social significance of information and communication technology development and use, a better understanding of factors that contribute to technology acceptance and use decisions can be extremely important. In this chapter, we posit that one of the fundamental reasons that people utilize technology is to support their well-being by fulfiling their various needs. Taking this motivational perspective, we suggest that the purposes and utilities of information and communication technology should support various human needs. Using a motivational approach to study technology design is intended to be positive. We revisit some fundamentals that may have been forgotten and we unearth the intrinsic drive of technology development and use. As a first step toward a design theory, we propose ten design principles to achieve high motivating information and communication technology.

We argue that entrepreneurship research should use meta-analysis to integrate the findings of the field. A meta-analytical approach has several advantages as compared with narrative reviews: First, narrative reviews are likely to bias empirical evidence because they are limited by the information-processing capacities of the reviewers (Tett, Jackson, & Rothstein, 1991). This is often a downward bias leading to the conclusion of little positive knowledge in the field. For example, frequency counts of significant results ignore sampling errors of individual studies, reliability problems of instruments, range restrictions of samples, dichotomization of continuous variables, imperfect construct validity, and extraneous factors (Hunter & Schmidt, 2004). These issues usually result in a higher incidence of Type II errors (i.e., rejecting the hypothesis wrongly). Thus, narrative reviews are more likely to lead to the conclusion that there are no relationships between independent and dependent variables in entrepreneurship when in fact they are (Hunter & Schmidt, 1990; Tett et al., 1991). Second, meta-analysis accumulates studies based on a set of explicit decision rules and, therefore, is less biased by subjective perceptions of the reviewer than narrative reviews. Meta-analyses require judgments as well, e.g., when defining the area of the study or coding moderator variables. However, the decisions are public and open to criticism and replication by other scientists (Johnson & Eagly, 2000). Third, meta-analysis is based on many studies and, thus, avoids the influence of single studies. Fourth, meta-analysis controls for sampling error variance and, thus, controls for power deficits of individual studies (Hunter & Schmidt, 2004). For example, the Brockhaus and Nord (1979) study is frequently cited in the entrepreneurship literature for providing evidence that there is no relationship of personality characteristics with entrepreneurship. However, this study is based on a small sample of 31 business owners and therefore, has serious statistical power problems. Noteworthy, the effect sizes of small samples are less precise in estimating a population value than effect sizes of larger samples. Fifth, meta-analyses can correct many errors of individual studies (Hunter & Schmidt, 2004). Since meta-analyses estimate population correlations between given variables, it is important to correct for errors of studies (e.g., unreliability, range restriction, and sampling error) to achieve unbiased estimates. Sixth, meta-analysis allows an assessment of the magnitude of relationships and, thus, provides more precise and often comparable assessments of the validity of concepts. Thus, meta-analyses support the assessment of the practical significance of findings. Seventh, meta-analysis tests for variations in relationships across studies and, therefore, allows an assessment of the generalizeability of effects. If the size of reported relationships varies considerably between different studies, there will be context conditions that account for these variations. These context conditions are moderators that affect the size of relationships. The moderators may include study characteristics, method moderators, and theoretical moderators. Thus, meta-analyses also help to identify areas for new studies. Finally, meta-analysis techniques allow to test more than one independent and/or moderator variable by using methods based on regression analysis (Lipsey & Wilson, 2001). Using such procedures allows to estimate the independent contribution of variables on results, to control for methodological variables, and to test the interactions between moderator variables.

This study aims to examine the relationship between Achievement Motivation (AM), Smart Work (SW), and human resources (HR) performance. It questions how moral global leadership (MGL) could moderate the relationship between AM, SW, and HR performance. A theoretical model was developed and tested on sample data representing 219 employees, educators, and educational staff of Islamic Higher education (IHE). The data were collected through surveys and applied to structural equation modeling using SEM-PLS. This study found that AM and SW significantly affect HR performance. While MGL substantially moderates the relationship between AM, SW, and HR performance. This study contributes to the literature on MGL, AM, and SW in creating HR performance that has yet to be studied so far. This study offers the concept of MGL, which plays a central role in moderating the relationship between AM, SW, and HR performance.