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Policy-capturing is an experimental technique potentially capable of providing powerful insights into the cognitive bases of work-related decision processes by revealing actors’ “implicit” models of the problem at hand, thereby opening up the “black box” of managerial and organizational cognition. This chapter considers the strengths and weaknesses of policy-capturing vis-à-vis alternative approaches that seek to capture, in varying ways, the inner workings of people’s minds as they make decisions. It then outlines the critical issues that need to be addressed when designing policy-capturing studies and offers practical advice to would-be users concerning some of the common pitfalls of the technique and ways of avoiding them.

In this article, an analytical framework that can be used by educational administrators to evaluate and modify policy development in curriculum innovation is presented. The framework is applicable to curriculum innovation of varying types and magnitudes, being relevant both to small‐scale innovation at individual schools and tertiary institutions as well as to large‐scale innovation emanating from centralised educational bureaucracies. Three criteria guided the generation of the analytical framework. Firstly, the framework must be sufficiently comprehensive to permit analysis of all the major components in policy development. Secondly, it should be systematic and enable orderly examination of issues and behaviour. Thirdly, it should facilitate objectivity in analysis. In producing the framework, a considerable volume of literature in areas such as administration, politics, decision‐making and policy‐making, educational planning and educational change was scrutinised. On the basis of this literature review, broad and generalised questions were generated so that diverse manifestations of policy development in curriculum innovation can be analysed. The framework derived relates to the four major interacting variables found to be operative in policy development in curriculum innovation, namely, the participants, the decision‐making and policy‐making processes, the innovation and the environment. It is also designed to allow examination of the interaction of the variables.

This study aims to explain the primacy that rapid, centralised decision-making gained in higher education institutions during the COVID-19 pandemic, with a particular focus on Australian universities.

This paper draws on discussions regarding policy problems of an international, purpose-convened on-line policy network involving over 100 registrations from multiple countries. It analyses emerging institutional policy governance texts and documents shared between network participants, applies policy science literature regarding traditional institutional policy-making routines and rapid decision-making, and references media reportage from 2020. The paper traces how higher education institutions rapidly adjusted to pandemic conditions and largely on-line operations.

The study finds that higher education institutions responded to the COVID-19 crisis by operationalising emergency management plans and introducing rapid, centralised decision-making to transition to remote modes of operation, learning and research under state-imposed emergency conditions. It highlights the need to ensure robust governance models recognising the ascendance of emergency decision-making and small-p policies in such circumstances, notwithstanding longstanding traditions of extended collegial policy-making routines for big-P (institutional) Policy. The pandemic highlighted practice and policy problems subject to rapid reform and forced institutions to clarify the relationship between emergency planning and decision-making, quality and institutional policy.

In covering a range of institutional responses, the study advances the possibility of institutions planning better for unexpected, punctuated policy shifts during an emergency through the incorporation of rapid decision-making in traditionally collegial environments. At the same time, the paper cautions against the normalisation of such processes. The study also highlights key practices and policies that require urgent reconsideration in an emergency. The study is designed as a self-contained and freestanding narrative to inform responses to future emergencies by roundly addressing the particularities of the 2020 phase of the COVID-19 pandemic as it affected higher education.

There is only limited research on policy-making in higher education institutions. This research offers an original contribution on institutional policy-making during a prolonged emergency that deeply changed higher education institution’s governance, operations and outlook. Particularly significant is the synthesis of experiences from a wide range of sector personnel, documenting punctuated policy shifts in policy governance (meta-policy), institutional policy-making routines and quality assurance actions under great pressure. This paper is substantially developed from a paper given at the Association for Tertiary Education Management Institutional Policy Seminar, 26th October 2020.

The purpose of this paper is to investigate the role of the special interests of key decision makers in entrepreneurship policy formation at the national level. The core question is: what is the role that special interests play in a situation with significantly improved evidence through a growing number of high-quality international benchmark studies on entrepreneurial performance.

An ethnographic method is applied to analyse in depth the 2005 decision by the Danish Government to shift from a volume-oriented to a growth-oriented entrepreneurship policy. This decision process is an extreme case since Denmark has world-class evidence of its entrepreneurial performance.

Even in such a well-investigated country, which since 2000 has had a pioneering role in the development of the Global Entrepreneurship Monitor study and international register-based studies, the special interests of a few top-level politicians and civil servants have significantly influenced the decision to shift the overall policy. These special interests guided the interpretation of the ambiguous evidence provided by these two benchmark studies.

Policy makers are made aware of the need to take a critical view on international benchmark studies, asking what is studied and how and realising that “the truth” about a country’s entrepreneurial performance cannot be found in just one study.

The theoretical value of this paper is its challenge to the widespread rationality view in the entrepreneurship policy field and a deepened understanding of how the pursuit of special interests is related to ambiguous evidence and system-level rationality.

The purpose of this paper is to explore health researchers’ involvement of policy or decision makers in knowledge translation activities in Malawi.

The case study collected quantitative through questionnaire from health researchers from the University of Malawi. The study used inferential statistics for the analysis of the quantitative data. Pearson χ² test was used to establish the relationship between categorical data and determine whether any observed difference between the data sets arose by chance. The Kruskal–Wallis H test was used to determine if there were statistically significant differences between independent variable and dependent variables. Data has been presented in a form of tables showing means, standard deviation and p-values.

Health researchers sometimes involve policy or decision makers in government-sponsored meetings (M=2.5, SD=1.17). They rarely involve policy or decision makers in expert committee or group meetings (M=2.4, SD=1.20). Researchers rarely involve policy or decision makers in conferences and workshops (M=2.4, SD=1.31). Rarely do researchers involve policy or decision makers in formal private or public networks (M=2.4, SD=1.17). In events organised by the colleges researchers rarely involve policy or decision makers (M=2.3, SD=1.11); and rarely share weblinks with policy or decision makers (M=2.0, SD=1,17). On average, health researchers occasionally conduct deliberate dialogues with key health policy makers and other stakeholders (M=2.5, SD=1.12). The researchers rarely established and maintained long-term partnerships policy or decision makers (M=2.2, SD=1.20). They rarely involve policy or decision makers in the overall direction of the health research conducted by themselves or the Colleges (M=2.1, SD=1.24).

The study recommends that there should be deliberate efforts by health researchers and policy makers to formally engage each other. Individuals need technical skills, knowledge of the processes and structures for engaging with health research evidence to inform policy and decision making. At the institutional level, the use of research evidence should be embedded within support research engagement structures and linked persons.

Formal interactions in a form of expert meetings and technical working groups between researchers and policy makers can facilitate the use of health research evidence in policy formulation.

In terms of framework there is need to put in place formal interaction frameworks between health researchers and policy makers within the knowledge translation and exchange.

There is dearth of literature on the levels of involvement and interaction between health researchers and health policy or decision makers in health policy, systems and services research in Malawi. This study seeks to bridge the gap with empirical evidence.

This book is a policy proposal aimed at the democratic left. It is concerned with gradual but radical reform of the socio‐economic system. An integrated policy of industrial and economic democracy, which centres around the establishment of a new sector of employee‐controlled enterprises, is presented. The proposal would retain the mix‐ed economy, but transform it into a much better “mixture”, with increased employee‐power in all sectors. While there is much of enduring value in our liberal western way of life, gross inequalities of wealth and power persist in our society.

The inconsistency between the appearance of incoherence and chaos in the US policymaking process bringing about a historic record of legislative achievements in the 1960s and 1970s, on the one hand, and the emergence of hierarchical order bringing about a prolonged period of legislative impotence in the early 2000s, on the other hand, has led legislative scholars to revisit strongly held prior beliefs about legislative organization. Similar reevaluations of the garbage can model that emphasize the potential for conflict-ridden and chaotic organizations to be adaptively rational are ongoing in organizational theory. This paper adapts recent research on organizational design to explore the conditions under which decentralized, chaotic decision making facilitates more desirable legislative outcomes than centralized decision making controlled by a benevolent dictator. The author demonstrates that normative claims about legislative organization – much like normative claims about organizational design – should vary depending on the task environment faced by the legislature. In the face of rugged uncertainty in the mapping from policies to outcomes, decentralized decision making among modestly polarized legislators with fluid participation in decisions facilitates a functional mix of exploitative and exploratory search.

This research aims to aid product development managers to estimate the expected cost associated with the development of cost-intensive physical prototypes considering transitions associated with pertinent states of quality of the prototype and corresponding decision policies under the Markovian setting.

The authors evolve two types of optimization-based mathematical models under both deterministic and randomized policies. Under the deterministic policy, the product development managers take certain decisions such as “Do nothing,” “Overhaul,” or “Replace” corresponding to different quality states of prototype such as “Good as new,” “Functional with minor deterioration,” “Functional with major deterioration” and “Non-functional.” Under the randomized policy, the product development managers ascertain the probability distribution associated with these decisions corresponding to various states of quality. In both types of mathematical models, i.e. related to deterministic and randomized settings, minimization of the expected cost of the prototype remains the objective function.

Employing an illustrative case of the operator cabin from the construction equipment domain, the authors ascertain that randomized policy provides us with better decision interventions such that the expected cost of the prototype remains lower than that associated with the deterministic policy. The authors also ascertain the steady-state probabilities associated with a prototype remaining in a particular quality state. These findings have implications for product development budget, time to market, product quality, etc.

The authors’ work contributes toward the development of optimization-driven mathematical models that can encapsulate the nuances related to the uncertainty of transition of quality states of a prototype, decision policies at each quality state of the prototype while considering such facets for all constituent subsystems of the prototype. As opposed to a typical prescriptive study, their study captures the inherent uncertainties associated with states of quality in the context of prototype testing, etc.