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This chapter presents five differentiated models of curriculum, each designed with templates created from learning theories. The discipline of distributed leadership is chosen to develop a cognition-based curriculum, a behavior-based curriculum, a performance-based curriculum, a values-based curriculum, and collectively arranged into a competency-based curriculum. The research literature frames the attributes of a competency-based curriculum on psychological competence.

In this chapter, curricula are developed to demonstrate the process of adapting theories of learning, instruction, and environment into design templates with which to differentiate the dimensions and components of a curriculum. In these curricula, multiple conceptual frameworks are employed to translate the content and structure of the discipline into instructional objectives, instructional engagement, instructional experience, and instructional environment to align the instructional processes with the intended learning. For these demonstrations, the discipline of organizational leadership is chosen due to the multidimensional structure of this discipline and the opportunities it presents to differentiate the curriculum and learning. Each component of the curriculum adapts an appropriate framework to align and interconnect the instructional processes into an optimized learning experience. The result is curricula that have a coherent flow horizontally across the components for each outcome as well as interconnectedness vertically between the outcomes. This approach creates coherence, alignment, and interconnectedness to the curricula and order to the learning process for the learners.

This methodology is applied to design the curriculum for five instructional modules. Module 1 focuses on dualistic thinking developed through a cognition-based curriculum. Module 2 presents a multiplistic learning experience through a behavior-based curriculum. Module 3 presents relativistic learning through a performance-based curriculum. Module 4 delivers complex learning through a values-based curriculum. Module 5 compiles these four modules into a competency-based curriculum model.

Each of these modules employs a unique set of theories to configure the components of the curricula to reflect the structure of each discipline. The use of each theory is explained and demonstrated in the design process.

Since March (1991) presented his ideas on organizational learning, hundreds of empirical tests have been conducted on relationships among the activities of exploration, exploitation, ambidexterity, and firm performance. Despite continued interest in his ideas, there has not been a systematic assessment of extant research to reveal whether, and to what extent, these activities relate to firm performance. This study uses meta-analysis to take a next step by aggregating results of 117 studies from more than 21,000 firms. I find strong performance effects for exploration and exploitation, but contrary to received theory, I discover ambidexterity yields weaker effects than a focus on either exploration or exploitation. Thus, I leverage these findings to offer future research opportunities.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

In this chapter, each of the completed models of curriculum is presented and evaluated using criteria from the attributes of effective curricula discussed in Chapter 1. Explanations of the design strategies that are used to demonstrate each attribute in a differentiated manner are included. The evaluation process provides an evaluation methodology to demonstrate the effectiveness of each model of a curriculum in a credible and trustworthy way.

In the previous chapters, the individual parts of the curricula were configured, aligned, and interconnected to deliver specific outcomes in each learning module. In this chapter, the components of each curriculum are assembled into one table to exhibit the order contained within each learning module within the overall curriculum. The standards for curricular attributes adopted at the beginning of the design process are the criteria for the evaluation of the completed curriculum. The strategies used to configure the components of each curriculum provide evidence of the curriculum’s characteristics, which demonstrate compliance with each criterion.

The evaluation of these attributes within a curriculum serves several purposes. First, they provide a checklist to guide the design process toward curricula that reflect these standards as developed by the profession of curriculum design in higher education. Second, they provide a measurement of the attributes of the curriculum to demonstrate the compliance of each curricular design with conventional standards. Third, these measurements can be compared with other institutional data to uncover correlations between the design assumptions and learner performance. These correlations often reveal unanticipated results, which inform the effectiveness of the instructional system.

These criteria are applied to the evaluation of the curriculum for each module to demonstrate the diverse manner in which each can be achieved in a discipline-specific manner. The compliance with these criteria is explained to be a matter of demonstration, as used in the discipline of qualitative research. These qualitative evaluations can then be compared with other operational data to understand the effectiveness of the design assumptions for each curriculum.

The purpose of this chapter is to extend research and theory on learning and performance orientations to multiple levels of analysis. We begin by introducing a model describing the impact of individual learning and performance orientations on attentional focus, response to failure, experimentation, and motivation, and identify potential sources of these orientations. We then describe how learning and performance orientations are linked to incremental and profound change, and theoretically based propositions are presented to guide future research efforts. Leadership, organizational learning, and strategic human resource management are discussed in relation to the model, and implications of the framework for future research and practice are revealed.

This chapter focuses on the state-of-the-art modeling approaches used in Intelligent Tutoring Systems (ITSs) and the frameworks for researching and operationalizing individual and group models of performance, knowledge, and interaction. We adapt several ITS methodologies to model team performance as well as individuals’ performance of the team members. We briefly describe the point processes proposed by von Davier and Halpin (2013), and we also introduce the Competency Architecture for Learning in teaMs (CALM) framework, an extension of the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare, Brawner, Goldberg, & Holden, 2012) to be used for team settings.

Organizational behavior scholars have long recognized the importance of a variety of emotion-related phenomena in everyday work life. Indeed, after three decades, the span of research on emotions in the workplace encompasses a wide variety of affective variables such as emotional climate, emotional labor, emotion regulation, positive and negative affect, empathy, and more recently, specific emotions. Emotions operate in complex ways across multiple levels of analysis (i.e., within-person, between-person, interpersonal, group, and organizational) to exert influence on work behavior and outcomes, but their linkages to human resource management (HRM) policies and practices have not always been explicit or well understood. This chapter offers a review and integration of the bourgeoning research on discrete positive and negative emotions, offering insights about why these emotions are relevant to HRM policies and practices. We review some of the dominant theories that have emerged out of functionalist perspectives on emotions, connecting these to a strategic HRM framework. We then define and describe four discrete positive and negative emotions (fear, pride, guilt, and interest) highlighting how they relate to five HRM practices: (1) selection, (2) training/learning, (3) performance management, (4) incentives/rewards, and (5) employee voice. Following this, we discuss the emotion perception and regulation implications of these and other discrete emotions for leaders and HRM managers. We conclude with some challenges associated with understanding discrete emotions in organizations as well as some opportunities and future directions for improving our appreciation and understanding of the role of discrete emotional experiences in HRM.

Project networks are an increasingly salient organisational temporary form to deal with complex problems. It remains unclear, however, whether and how project networks adapt over time, and hence implement changes, both within the span of the specific project, and across projects. The authors apply the performance feedback (PF) perspective to explore how adaptive responses to PF are organised and absorbed within project networks. The authors investigate these matters in the area of humanitarian and development aid efforts, which represent complex social issues. In this context, project networks involve a multitude of actors at different distances from the implementation field, ranging from the donor, through an international Non-Governmental Organisation (NGO), to the NGO’s country offices, local NGOs and the beneficiary communities. This study’s qualitative findings, which the authors generate through an abductive analytical process, highlight that project networks dealing with complex social issues face six paradoxes based on work by DeFillippi and Sydow: the distance, difference, identity, learning, temporal and performance paradoxes. Collective goal setting, adaptive monitoring and evaluation practices, and continuous re-negotiation of aspiration levels emerge as coping mechanisms enabling project networks to internalise insights from the field and translate them into adaptive behavioural responses, mainly at the intra-project level. The authors contribute to a better understanding of adaption in these temporary forms, and particularly in its behavioural consequences. The study also advances knowledge on the PF perspective, through its application in temporary settings, on the level of the project network and in the context of complex social issues, where organisational arrangements strive to pursue multiple interdependent goals.

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.