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How do organizations respond to negative feedback regarding their innovation activities? In this chapter, the authors reconcile contradictory predictions stemming from behavioral learning and from the escalation of commitment (EoC) perspectives regarding persistence under negative performance feedback. The authors core argument suggests that the seemingly contradictory psychological processes indicated by these two perspectives occur simultaneously in decision makers but that the design of organizational roles and reward systems affects their prevalence in decision-making tasks. Specifically, the authors argue that for decision makers responsible for an individual project, responses given to negative performance feedback regarding a project are dominated by self-justification and loss-avoidance mechanisms predicted by the EoC literature, while for decision makers responsible for a portfolio of projects, responses to negative performance regarding a project are dominated by an under-sampling of poorly performing alternatives that behavioral learning theory predicts. In addition to assigning decision-making authority to different organizational roles, organizational designers shape the strength of these mechanisms through the design of reward systems and specifically by setting more or less ambiguous goals, aspiration levels, time horizons of incentives provided, and levels of failure tolerance.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

Although tax relief on pensions is a controversial area of government expenditure, this is the first study of the tax effects for a real-world defined benefit pension scheme. First, we estimate the tax and national insurance contribution (NIC) effects of the scheme's change from final salary to career average revalued earnings (CARE) in 2011 on the gross and net wealth of the sponsor, government, and 16 age cohorts of members, deferred pensioners, and pensioners. Second, we measure the size of the twelve income tax and NIC payments and reliefs for new members and the sponsor, before and after the rule changes. We find the total subsidy split is roughly 40% income tax subsidy and 60% NIC subsidy. If lower tax rates in retirement and the risk premium effect of the exempt-exempt-taxed (EET) system are not viewed as a tax subsidy, the tax subsidy to members largely disappears. Any remaining subsidy drops, as a proportion of pension benefits, for high earners, as does that for NICs.

Drawing from theories of structural power and relational competence, this paper proposes an innovative theoretical model able to predict relationship outcomes during adolescence by mapping the partners’ resources and patterns of exchange in four contexts (family, work/school, leisure time, and survival) as power bases in the relationship. Adolescent dating is an important juncture in the developmental pathway to adult partnership, both in terms of relational satisfaction and relationship violence. Power processes can capture the dynamics of both healthy and unhealthy relationships, regardless of gender, contingent to the power advantage (or disadvantage) within the relationship and can produce predictable consequences for partner’s behavior. Knowing which partner holds what kind and amount of power and in which decision-making areas may be used to predict the actions of either partner and ultimately identify the trajectories of their relationships.

This chapter examines the inauguration of the university study of Education in Scotland and its relation to teacher education in the late nineteenth and early twentieth century. The chapter outlines moves to establish Education as a disciplinary field in higher education and the junctures at which this movement aligns with and is in tension with concurrent moves to advance teaching as a profession. Academisation and professionalisation are the twin poles of this debate. This is not a parochial or obsolete debate. The place of teacher preparation in higher education has been the focus of sustained discussion across Anglophone nations. Three examples – the inauguration of chairs and lectureships, the governance of teacher education and deliberation on the content and purpose of a degree in Education – are used to help explain the apparent paradox between the historic place of education in Scottish culture and identity and the relatively recent full involvement of Scotland's universities in the professional preparation of teachers. Investigating the activities of the first academic community of educationists in Scotland may help to understand continuing struggles over jurisdiction and authority in this contested and yet neglected field.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.