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Between crisis and reform: developing a causal mechanism of Indonesian healthcare reform with process tracing

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Abstract
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Purpose The article discusses social policy changes, connecting insights on successful reform in the Indonesian healthcare system with a causal mechanism through which the policy has been transformed. Design/methodology/approach The study employs modified Bayesian process tracing to examine how the Indonesian production regime and political bargains from 1998 to 2014 influenced these reforms. It commences with generating synthesized mechanisms based on previous studies, which are then tested using 25-elite interview data as a primary source. The analytical strategy then connects the theoretically expected causality with data, reconstructing a revised graph of causal mechanisms that links the crisis and reforms for theory-building. Findings A principal causal mechanism connecting crisis and reform was discovered, namely, policy entrepreneurs’ cooperation mechanism, which highlights the role of policy entrepreneurs, particularly welfare bureaucrats and Academic Administrative Entrepreneurs, in driving policy solutions that align with political interests, especially under conditions of uncertainty. In addition, based on the modularization analysis, an additional mechanism was identified, namely the policy learning-driven interest-interdependence mechanism. It illustrates how policy reform experiences from external contexts were assimilated domestically to address a domestic political concern. Originality/value The implication of the article to literature is outlined. Theoretically, a process-oriented analysis of Indonesian healthcare mitigates the bias of power-resources-based mechanisms in connecting crisis and reform, as illustrated in previous studies and general social policy scholarship in developing countries. Moreover, this article demonstrates that crises alone are insufficient drivers of systemic reform without endogenous changes that have already set in motion a cumulative process of divergence from the existing path. In the meantime, methodologically, this article shows broader relevance in enhancing the understanding of the complementary role of inductive reasoning within the Bayesian process-tracing model.

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A key mission of many applied linguists is to understand how language-related processes work. The inner workings of a process can be explained by theorizing about the underlying causal mechanism that enables the process to unfold and evidencing the mechanism with empirical material. However, the methodological repertoire of applied linguistics is limited in this regard. Thus, we step outside of our field-specific literature and showcase Process Tracing, a family of qualitative, within-case research methods often used in political science to trace causal mechanisms. We describe Process Tracing's key tenets that are applicable to most variations. We then refer specifically to the systems understanding of Process Tracing. This variation views mechanisms as systems with interlocking parts. Each part is theorized to transmit causal force from a hypothesized cause to an outcome. Our concentrated focus enables us to provide specific recommendations for researchers looking to maximize the method's practical explanatory power without over-formalizing its procedures. As such, our coverage bridges the gap between broad introductions to Process Tracing currently available in applied linguistics and an increasingly technical literature found elsewhere. We also provide a preliminary state-of-the-art review of studies that have claimed to use Process Tracing in applied linguistics, often to very different ends. Finally, we demonstrate how we have applied the systems understanding of Process Tracing in one of our own studies as a methodological exemplar. We conclude with a call for researchers to explore the affordances of Process Tracing alongside us as we adapt it for future use in applied linguistics.

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Process tracing is an in-depth within-case study method used in the social sciences for tracing causal mechanisms and how they play out within an actual case. Process tracing can be used to build and test theories of processes that link causes and outcomes in a bounded population of causally similar cases, in combination with comparative methods, or, when used in a more pragmatic fashion, to gain a greater understanding of the causal dynamics that produced the outcome of a particular historical case. The strength of process tracing is that detailed knowledge is gained through the collection of within-case, mechanistic evidence about how causal processes work in real-world cases. Process tracing enables only within-case inferences to be made, making comparative methods necessary to enable inferences to causally similar cases. Comparisons make generalization possible because we can then claim that as a set of other cases are causally similar to the studied one, we should expect similar mechanisms to also be operative in these cases. Process tracing as a method can be broken down into three core components: theorization about causal mechanisms linking causes and outcomes, the development and analysis of the observable empirical manifestations of the operation of parts of theorized mechanisms, and the complementary use of comparative methods to enable generalizations of findings from single case studies to other causally similar cases.

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The purpose of the research is to study the survival strategies of small and medium-sized businesses within the framework of the state policy in conditions of uncertainty, including in crisis situations. Methodology. Qualitative and quantitative research methods were used to conduct this study. To analyze the state policy regarding small and medium-sized businesses and their adaptation to new conditions in Kazakhstan, this study uses the method of primary and secondary data research. The primary data were obtained during an online sociological survey among representatives of small and medium-sized businesses of the Karaganda region. The survey was conducted using the Google Forms tool, which was attended by 287 entrepreneurs of micro, small and medium-sized businesses. The purpose of the survey was to study measures of state support, the consequences of the pandemic and strategies for the survival of SMEs, as well as to assess the understanding of SMEs of state policy in relation to them. Secondary data are obtained from open sources:statistical data of state bodies, international organizations. The advantages of the chosen research strategy are the possibility of conducting a comprehensive analysis of both the state strategy in relation to entrepreneurship and the adaptation of business in conditions of uncertainty. Originality / value of the research. Small and medium-sized businesses implement socially signifi cant functions for the economy. The results of this study can fi nd their application in the improvement and transformation of state policy in the fi eld of entrepreneurship support. Findings. Within the framework of this study, an analysis of the current situation of state policy in the field of entrepreneurship is presented. In the course of conducting a sociological survey among SMEs, the main di ffi culties of doing business during the pandemic were identifi ed, as well as the main survival strategies within the framework of state policy were presented. Recommendations are given regarding the emphasis of the policy on encouraging and stimulating the introduction of digitalization of SMEs.

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