Abstract: The operationalization of smart specialization policy has been rather limited because a coherent set of analytical tools to guide the policy directives remains elusive. We propose a policy framework around the concepts of relatedness and knowledge complexity. We show that diversifying into more complex technologies is attractive but difficult for European Union regions to accomplish. Regions can overcome this diversification dilemma by developing new complex technologies that build on local related capabilities. We use these findings to construct a policy framework for smart specialization that highlights the potential risks and rewards for regions of adopting competing diversification strategies.

Abstract: This article is a review of research on student self-assessment conducted largely between 2013 and 2018. The purpose of the review is to provide an updated overview of theory and research. The treatment of theory involves articulating a refined definition and operationalization of self-assessment. The review of 76 empirical studies offers a critical perspective on what has been investigated, including the relationship between self-assessment and achievement, consistency of self-assessment and others’ assessments, student perceptions of self-assessment, and the association between self-assessment and self-regulated learning. An argument is made for less research on consistency and summative self-assessment, and more on the cognitive and affective mechanisms of formative self-assessment.

Abstract: We propose measurement modeling from the quantitative social sciences as a framework for understanding fairness in computational systems. Computational systems often involve unobservable theoretical constructs, such as socioeconomic status, teacher effectiveness, and risk of recidivism. Such constructs cannot be measured directly and must instead be inferred from measurements of observable properties (and other unobservable theoretical constructs) thought to be related to them -- i.e., operationalized via a measurement model. This process, which necessarily involves making assumptions, introduces the potential for mismatches between the theoretical understanding of the construct purported to be measured and its operationalization. We argue that many of the harms discussed in the literature on fairness in computational systems are direct results of such mismatches. We show how some of these harms could have been anticipated and, in some cases, mitigated if viewed through the lens of measurement modeling. To do this, we contribute fairness-oriented conceptualizations of construct reliability and construct validity that unite traditions from political science, education, and psychology and provide a set of tools for making explicit and testing assumptions about constructs and their operationalizations. We then turn to fairness itself, an essentially contested construct that has different theoretical understandings in different contexts. We argue that this contestedness underlies recent debates about fairness definitions: although these debates appear to be about different operationalizations, they are, in fact, debates about different theoretical understandings of fairness. We show how measurement modeling can provide a framework for getting to the core of these debates.

Abstract: The empathy concept has central significance for social and personality psychology and in many other domains, including neuroscience, clinical/abnormal psychology, and the health professions. However, the current diversity in conceptual and operational definitions, and the promiscuous use of the term "empathy," threaten the ability of researchers to advance the field. The present article provides a quantitative review and conceptual analysis of empathy definitions and usages by examining 393 studies published between 2001 and 2013, and 96 studies published in 2017. We document the prevalence and diversity of definitions, as well as inconsistencies between conceptual definitions and measurements employed. We discuss ways to refine the conceptualization and operationalization of the empathy construct, including for many purposes, bypassing the term empathy in favor of lower-level construct labels that more precisely describe what is actually being measured. In many cases we see no added theoretical or empirical value in applying the term empathy.

Abstract: The problem of defining "child sexual abuse" (CSA), and the need to define this concept, has been recognized by major policy bodies and leading researchers since the 1970s. Recent demands for a more theoretically robust, explicit definition of CSA show this challenge remains urgent. In this article, we identify problems caused by variance in definitions of CSA for five domains: research and knowledge formation, legal frameworks and principles, prevention efforts, policy responses, and the establishment of social norms. We review and analyze definitions used in leading international epidemiological studies, national and international policy documents, social science literature, and legal systems in the United States, Canada, and Australia to demonstrate the continuing use of different concepts of CSA and identify key areas of conceptual disagreement. Informed by our literature review, we use a methodology of conceptual analysis to develop a conceptual model of CSA. The purpose of this model is to propose a more robust, theoretically sound concept of CSA, which clarifies its defining characteristics and distinguishes it from other concepts. Finally, we provide operational examples of the conceptual model to indicate how it would translate to a classificatory framework of typologies of acts and experiences. A sound conceptual model and classificatory system offers the prospect of more appropriate and effective methods of research, response, regulation, and prevention. While total consensus is unattainable, this analysis may assist in developing understanding and advancing more coherent approaches to the conceptual foundation of CSA and its operationalization.

Abstract: Social complexity has been one of the recent emerging topics in the study of animal and human societies, but the concept remains both poorly defined and understood. In this paper, I critically review definitions and studies of social complexity in invertebrate and vertebrate societies, arguing that the concept is being used inconsistently in studies of vertebrate sociality. Group size and cohesion define one cornerstone of social complexity, but the nature and patterning of social interactions contribute more to interspecific variation in social complexity in species with individual recognition and repeated interactions. Humans provide the only example where many other unique criteria are used, and they are the only species for which intraspecific variation in social complexity has been studied in detail. While there is agreement that complex patterns emerge at the group level as a result of simple interactions and as a result of cognitive abilities, there is consensus neither on their relative importance nor on the role of specific cognitive abilities in different lineages. Moreover, aspects of reproduction and parental care have also been invoked to characterize levels of social complexity, so that no single comprehensive measure is readily available. Because even fundamental components of social complexity are difficult to compare across studies and species because of inconsistent definitions and operationalization of key social traits, I define and characterize social organization, social structure, mating system, and care system as distinct components of a social system. Based on this framework, I outline how different aspects of the evolution of social complexity are being studied and suggest questions for future research. Animal and human societies differ in social complexity, i.e., the number and association patterns of group members as well as the nature and patterning of their social relationships, but the dimensions of social complexity, the processes that generate it, the selective forces that engender different levels of social complexity, and the evolutionary consequences of this variation remain to be comprehensively understood. Here, I offer a conceptual framework for the systematic and comparative studies of social complexity by defining its main components as well as their proximate and ultimate relationships.

Abstract: The pursuit of global food security and agricultural sustainability, the dual aim of the second sustainable development goal (SDG-2), requires urgent and concerted action from developing and developed countries. This, in turn, depends on clear and universally applicable targets and indicators which are partially lacking. The novel and complex nature of the SDGs poses further challenges to their implementation on the ground, especially in the face of interlinkages across SDG objectives and scales. Here we review the existing SDG-2 indicators, propose improvements to facilitate their operationalization, and illustrate their practical implementation in Nigeria, Brazil and the Netherlands. This exercise provides insights into the concrete actions needed to achieve SDG-2 across contrasting development contexts and highlights the challenges of addressing the links between targets and indicators within and beyond SDG-2. Ultimately, it underscores the need for integrated policies and reveals opportunities to leverage the fulfillment of SDG-2 worldwide.

Abstract: The circular economy has been heralded as a potential driver for sustainable development by business, academia, and policymakers. In a future circular economy, new business models are needed that slow, close and narrow resource loops to address key resource and climate challenges. After a phase of excitement and inspiration, an operationalization phase needs to start to ensure the best possible implementation and transition towards a circular economy. This operationalization phase will involve the development of products, processes and business models that significantly lower the negative impact on the environment, reduce waste and resource pressures and, rather, create a positive impact on society and environment. This paper focuses on the circular business model lens as a comprehensive way of addressing business innovation. Within this evolving circular economy operationalization phase, several tools, approaches and methods are emerging that could support circular business model innovation. This paper seeks to create a comprehensive tools overview through a literature and practice review. It provides structure to the emerging range of tools, methods and approaches, and, based on this, a guideline for future tool development. Finally, it gives an overview of opportunities and gaps as well as a future agenda for research and practice.

Abstract: Formulating data science problems is an uncertain and difficult process. It requires various forms of discretionary work to translate high-level objectives or strategic goals into tractable problems, necessitating, among other things, the identification of appropriate target variables and proxies. While these choices are rarely self-evident, normative assessments of data science projects often take them for granted, even though different translations can raise profoundly different ethical concerns. Whether we consider a data science project fair often has as much to do with the formulation of the problem as any property of the resulting model. Building on six months of ethnographic fieldwork with a corporate data science team---and channeling ideas from sociology and history of science, critical data studies, and early writing on knowledge discovery in databases---we describe the complex set of actors and activities involved in problem formulation. Our research demonstrates that the specification and operationalization of the problem are always negotiated and elastic, and rarely worked out with explicit normative considerations in mind. In so doing, we show that careful accounts of everyday data science work can help us better understand how and why data science problems are posed in certain ways---and why specific formulations prevail in practice, even in the face of what might seem like normatively preferable alternatives. We conclude by discussing the implications of our findings, arguing that effective normative interventions will require attending to the practical work of problem formulation.

Abstract: Despite an abundant use of the term “Out of the loop” (OOTL) in the context of automated driving and human factors research, there is currently a lack of consensus on its precise definition, how it can be measured, and the practical implications of being in or out of the loop during automated driving. The main objective of this paper is to consider the above issues, with the goal of achieving a shared understanding of the OOTL concept between academics and practitioners. To this end, the paper reviews existing definitions of OOTL and outlines a set of concepts, which, based on the human factors and driver behaviour literature, could serve as the basis for a commonly-agreed definition. Following a series of working group meetings between representatives from academia, research institutions and industrial partners across Europe, North America, and Japan, we suggest a precise definition of being in, out, and on the loop in the driving context. These definitions are linked directly to whether or not the driver is in physical control of the vehicle, and also the degree of situation monitoring required and afforded by the driver. A consideration of how this definition can be operationalized and measured in empirical studies is then provided, and the paper concludes with a short overview of the implications of this definition for the development of automated driving functions.

Abstract: The purpose of this paper is to add clarity to the multidimensional concepts of agility and resilience. In addition, this paper seeks to clarify the differences and similarities between the two concepts by integrating the distinct bodies of knowledge on agility and resilience.,A multidisciplinary systematic literature review is conducted. The concept of agility is explored through a review of the sports science, manufacturing, organizational, information systems and information systems development and supply chain literature bases. The concept of resilience is investigated through a review of the psychological and psychopathological, ecological, economic, organizational and supply chain literature bases.,Examining the complex relationship between the two constructs led to the emergence of six major dimensions to capture the concept of agility (i.e. ability to quickly change direction, speed/accelerate operations, scan the environment/anticipate, empower the customer/customize, adjust tactics and operations (flexibility), and integrate processes within and across firms). Similarly, six dimensions were uncovered for resilience (i.e. ability to resist/survive disruptions, avoid the shock altogether, recover/return to original form following disruption, speed/accelerate operations, adjust tactics and operations (flexibility) and scan the environment/anticipate). Agility and resilience were found to share three common dimensions (i.e. ability to adjust tactics and operations (flexibility), speed/accelerate operations and scan the environment/anticipate).,The identification of the common characteristics of agility and resilience carries important managerial implications from a resource allocation perspective. Allocating resources to the development of the common characteristics of agility and resilience can help firms maximize the impact of such investments. That is, by investing in the common characteristics of both they can improve supply chain agility and supply chain resilience. If firms approach the development or improvement of supply chain agility or resilience independent from one another, without an awareness of the common characteristics, they could be duplicating their investments resulting in supply chain redundancies and inefficiencies.,Not having a clear and comprehensive understanding of the similarities and differences between agility and resilience is problematic from a theoretical perspective. A clear understanding of what each construct represents provides a platform for building generalizable theory by helping researchers operationalize these constructs in a consistent manner. Further, providing a generalizable, comprehensive and multidisciplinary perspective on agility and resilience within supply chain management literature can help increase the visibility of the field of supply chain management across other disciplines as scholars outside the field of supply chain management can utilize the results of this research effort.

Abstract: The effects of the ongoing digital revolution have been profound and have been studied in many contexts such as government interaction with the public (e-participation) and administrative structure...

Abstract: Given the noticeable and quick progress of digitalization it is well accepted that digital practices are changing business landscapes. However, while this concept is being labelled in the literature it is also often used indistinctively. To avoid misconceptions, we propose to clarify the concept by providing an overview of the existing theory. This research is one of the first attempts to define the “digitalization” term, and to make a distinction between similar ones. The authors have conducted a systematic review of the existing literature, by identifying and synthesizing the existing body of knowledge. While going digital, firms are expecting to enhance their competitive advantage by offering services throughout virtual channels and operationalize its operations management. Furthermore, the literature suggested the development of new digital technologies along with automation and artificial intelligence is enabling a new wave of smart companies, a topic that deserves to be studied in the future.

Abstract: Purpose International and national bodies have identified tackling ageism in health care as an urgent goal. However, health professionals, researchers, and policy makers recognize that it is not easy to identity and fight ageism in practice, as the identification of multiple manifestations of ageism is dependent on the way it is defined and operationalized. This article reports on a systematic review of the operational definitions and inductive conceptualizations of ageism in the context of health care. Design and methods We reviewed scientific articles published from January 1995 to June 2015 and indexed in the electronic databases Web of Science, PubMed, and Cochrane. Electronic searches were complemented with visual scanning of reference lists and hand searching of leading journals in the field of ageing and social gerontology. Results The review reveals that the predominant forms of operationalization and inductive conceptualization of ageism in the context of health care have neglected some components of ageism, namely the self-directed and implicit components. Furthermore, the instruments used to measure ageism in health care have as targets older people in general, not older patients in particular. Implications The results have important implications for the advancement of research on this topic, as well as for the development of interventions to fight ageism in practice. There is a need to take into account underexplored forms of operationalization and inductive conceptualizations of ageism, such as self-directed ageism and implicit ageism. In addition, ageism in health care should be measured by using context-specific instruments.

Abstract: The concept of resilience continues to grow in influence and prominence in national and international programs seeking to improve individual and collective capacity to prepare for and respond to disasters. This review of the literature published in 2018 examines how disaster scholars and professionals are conceptualizing and applying the concept of community disaster resilience. Three trends in the literature on community disaster resilience are observed: (1) advancements in the measurement of resilience continue to refine the concept and its related mechanisms using both primary and secondary data, (2) social capital continues to be a central mechanism through which community resilience reduces disaster impact and enhances recovery, and (3) programs across the globe are advancing the practice of improving resilience through community interventions to enhancing adaptive capacities. Community disaster resilience offers much promise as a guiding paradigm for the promotion of disaster risk reduction and the enabling of disaster recovery through attention to, and investment in, local capacities for adaptation to a changing and uncertain environment. However, there remains work to be done in the clarification of the concept and the operationalization of the mechanisms leading to enhancing community capacity for resilience.

Abstract: Quantitative text analysis tools have become increasingly popular methods for the operationalization of various types of discourse analysis. However, their application usually remains fairly simple...

Abstract: Despite the normative nature of sustainability, values and their role in sustainability transformations are often discussed in vague terms, and when concrete conceptualizations exist, they widely differ across fields of application. To provide guidance for navigating the complexity arising from the various conceptualizations and operationalization of values, here, we differentiate four general perspectives of how and where values are important for transformation related sustainability science. The first perspective, surfacing implicit values, revolves around critical reflection on normative assumptions in scientific practices. Sustainability transformations concern fundamental ethical questions and are unavoidably influenced by assumptions sustainability scientists hold in their interactions with society. The second perspective, negotiating values, is related to the values held by different actors in group decision processes. Developing and implementing solution options to sustainability problems requires multiple values to be accounted for in order to increase civic participation and social legitimacy. The third perspective, eliciting values, focuses on the ascription of values to particular objects or choices related to specific sustainability challenges, for example, valuations of nature. The fourth perspective, transforming through values, highlights the dynamic nature and transformational potential of values. Value change is complex but possible, and may generate systemic shifts in patterns of human behaviours. Explicit recognition of these four interconnected values perspectives can help sustainability scientists to: (1) move beyond general discussions implying that values matter; (2) gain an awareness of the positionality of one’s own values perspective when undertaking values related sustainability research; and (3) reflect on the operationalizations of values in different contexts.

Abstract: As the world continues to urbanize, identifying and implementing new urban development models and strategies is necessary to face sustainable development challenges. To this end, the circular economy model can be implemented in cities in order to operationalize and achieve human sustainable development managing simultaneously, in a systemic perspective, the social inequalities issue and the ecological and economic crisis. Today there are many cities that are defining themselves as a “circular city” but, to date, a clear definition of this does not exist. In the transition towards the circular city, tools (such as evaluation, governance, financial, business tools) play a fundamental role. The aim of this paper is (after an analysis of the concept of the circular city and its implementation, starting from literature, official documents and reports) to identify and analyze tools for implementing the circular city model. In particular, a set of indicators to assess (positive and/or negative) impacts of projects and initiatives of the circular city agenda is identified.

Abstract: Variation in communicative complexity has been conceptually and empirically attributed to social complexity, with animals living in more complex social environments exhibiting more signals and/or more complex signals than animals living in simpler social environments. As compelling as studies highlighting a link between social and communicative variables are, this hypothesis remains challenged by operational problems, contrasting results, and several weaknesses of the associated tests. Specifically, how to best operationalize social and communicative complexity remains debated; alternative hypotheses, such as the role of a species’ ecology, morphology, or phylogenetic history, have been neglected; and the actual ways in which variation in signaling is directly affected by social factors remain largely unexplored. In this review, we address these three issues and propose an extension of the “social complexity hypothesis for communicative complexity” that resolves and acknowledges the above factors. We specifically argue for integrating the inherently multimodal nature of communication into a more comprehensive framework and for acknowledging the social context of derived signals and the potential of audience effects. By doing so, we believe it will be possible to generate more accurate predictions about which specific social parameters may be responsible for selection on new or more complex signals, as well as to uncover potential adaptive functions that are not necessarily apparent from studying communication in only one modality. Animals exhibit an astonishing diversity of communicative systems, with important variation in both the nature and the number of signals they produce. The roles of phylogenetic history, genetic drift, environmental factors, and sexual selection in shaping interspecific variation in communicative systems have long been acknowledged, whereas social complexity has only more recently emerged as a potential fundamental factor determining signal diversification. While a number of comparative studies support the key prediction of this hypothesis, i.e., that individuals living in more complex social environments exhibit more signals and/or more complex signals, we discuss several gaps in the current state of the art concerning this hypothesis and point out what we believe are neglected perspectives. By emphasizing the importance of the multimodal nature of communicative systems and the social context in which signals are exchanged, we hope to stimulate the development of new tests and specific questions based on this expanded framework.

Abstract: The purpose of this paper is to introduce a framework that presents how internal audit effectiveness can be operationalized and what factors are available to influence the effectiveness. Internal audits have become one of the key practices for organizations to control the adherence of their processes to standard procedures and regulations. The benefits of conducting internal audits are well acknowledged in the literature. However, it is difficult for organizations to assess the effectiveness of internal audits and to understand the factors that influence audit effectiveness.,A systematic literature review was conducted to identify relevant publications and collect and synthesize evidence on the operationalization of internal audit effectiveness and the factors that potentially influence the effectiveness of internal audits.,A thorough analysis of the relevant studies resulted in a comprehensive list of indicators used for the operationalization of audit effectiveness and a list of potentially influencing factors. The results of the systematic review are synthesized into a framework.,The researchers should consider this study as a comprehensive source that offers pointers on the factors investigated in the literature and a basis for future research in this field to address the gaps that are identified.,Awareness about how the effectiveness of internal audits can be measured, and the factors that can potentially influence this effectiveness can help organizations to understand their current performance and ultimately improve it in the future.,The contributions of this study will help in better understanding the state of the research on internal audit effectiveness, including the influential factors, and gaps and opportunities for future research.

Abstract: The deficit (knowledge transmission) model of science communication is widespread and resistant to change, highlighting the limited influence of science communication research on practice. We argue that scholar–practitioner partnerships are key to operationalizing science communication scholarship. To demonstrate, we present a transformative product of one such partnership: a set of ethics and values competencies to foster effective communication with diverse audiences about scientific research and its implications. The 10 competencies, focused on acknowledging values, understanding complexities of decision making, strategies to deal with uncertainty, and diversifying expertise and authority, provide a guiding framework for re-envisioning science communication professional development.