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1

1941-, Fuchs Jürgen, a cura di. Das Biokybernetische Modell: Unternehmen als Organismen. Wiesbaden: Gabler, 1992.

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2

Huang, Kevin X. D. Why does the cyclical behavior of real wages change over time? Kansas City [Mo.]: Research Division, Federal Reserve Bank of Kansas City, 2002.

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3

Oster, Emily. HIV and sexual behavior change: Why not Africa? Cambridge, Mass: National Bureau of Economic Research, 2007.

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4

L, Albrecht Gary, a cura di. Advances in medical sociology: A research annual. : a reconsideration of health behavior change models. Greenwich, Conn: Jai Press, 1994.

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5

Paula, Nurius, e Osborn Cynthia J, a cura di. Interviewing and change strategies for helpers. 7a ed. Belmont, CA: Brooks/Cole, Cengage Learning, 2013.

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6

Contini, Bruno. Econometric explorations on bounded rationality: The case of job changing behavior. Bonn, Germany: IZA, 2007.

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7

Asiimwe, Delius. A review of behavioural change models in the context of HIV/AIDS in Uganda. [Kampala?: s.n., 2002.

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8

Oxfam e We Can South Asia Regional Secretariat, a cura di. We can: A model of behavioural change concerning violence against women : Bangladesh report. Dhaka: Amrai Pari Paribarik Nirjaton Protirodh Jot, 2013.

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9

Reznik, Semen. Organizational behavior. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1089957.

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The textbook discusses the processes of managing the labor behavior of personnel in a modern organization. Special attention is paid to the qualities and competencies of the Manager, organizational and administrative and socio-psychological methods of management, relationships with subordinates and managers, delegation of authority, conflict management, formation of the Manager's team, leadership, change management and reputation of the organization. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For students studying in the areas of training "personnel Management", "Economics", "Management".
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10

Smitasiri, Suttilak, e Mahāwitthayālai Mahidon. Sathāban Wičhai Phōtčhanākān., a cura di. Social marketing Vitamin A-rich foods in Thailand: A model nutrition communication for behavior change process. 2a ed. Nakhon Pathom, Thailand: Institute of Nutrition, Mahidol University, 1993.

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11

Dalbert, Claudia. Ein Veränderungsmodell prosozialer Handlungen. Regensburg: S. Roderer, 1987.

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12

A, Ruzmaĭkin A., e Sokolov D. D. 1952-, a cura di. Almighty chance. Singapore: World Scientific, 1990.

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13

B, Handy Charles. The age of unreason. 2a ed. London: Business Books, 1991.

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14

Rotemberg, Julio. Customer anger at price increases, time variation in the frequency of price changes and monetary policy. Cambridge, Mass: National Bureau of Economic Research, 2002.

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15

Clarke, Patricia. Exercise behaviour change in a GP referred sample and a 'Typical' sample: Application of the transtheoretical model and multidimensional scaling techniques. Birmingham: University of Birmingham, 1996.

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16

R, Hines James. On the sensitivity of R&D to delicate tax changes: The behavior of U.S. multinationals in the 1980s. Cambridge, MA: National Bureau of Economic Research, 1991.

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17

J, MacLeod Murdo, e Rawski Evelyn Sakakida, a cura di. European intruders and changes in behaviour and customs in Africa, America, and Asia before 1800. Brookfield, VT: Ashgate, 1998.

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18

Watne, T. A., Linda Brennan, Lukas Parker, Wayne Binney e Dang Nguyen. Social Marketing and Behaviour Change: Models, Theory and Applications. Elgar Publishing Limited, Edward, 2014.

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19

Brennan, Linda, Lukas Parker, Wayne Binney, Dang Nguyen e Torgeir Aleti. Social Marketing and Behaviour Change: Models, Theory and Applications. Elgar Publishing Limited, Edward, 2016.

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20

Social Marketing and Behaviour Change: Models, Theory and Applications. Elgar Publishing Limited, Edward, 2014.

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21

Chan, Emily Ying Yang. Health promotion planning approaches, human behavioural change models, and health promotion theories. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198807179.003.0003.

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Abstract (sommario):
Based on the conceptual building blocks introduced in the previous chapter, this chapter further sketches theoretical approaches and models that can be employed to guide rural health and disaster preparedness education programmes, namely the MAP-IT approach, precede–proceed model, P-Process, Health Belief Model, Transtheoretical (Stages of Change) Model, Theory of Planned Behaviour, Social Cognitive Theory, and complex interventions. These theories and models are intended to conceptualize human thought and behaviour and systematically explain the reasons behind actions such that they can be utilized to set the objectives and content of health intervention projects. Health literacy will also be discussed, with relevant examples for illustrative purposes.
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22

Burton, Derek, e Margaret Burton. Fish behaviour. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.003.0014.

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Behaviour involves reacting to stimuli and may be innate (colour change) or include input via cognition (learning, memory). Understanding the complex behaviour of some fish, as in interaction with conspecifics, potential prey or predators, may require consideration of neurobiology and endocrinology. Whereas fish may show behaviours associated with tetrapods (play, sleep), some of their behaviour follows a preset pattern, for example in feeding and reproduction. Communication between fish depends on cues such as colour, sound, electroception or pheromones. Long-term behaviour includes migration and territoriality, with schooling a group phenomenon. Within the brain a neuropil may indicate a region capable of memory, in fish it is abundant in the optic tectum with up to 15 laminae (layers), with some in the olfactory bulb; however, the laminated cerebral cortex of mammals is lacking. Current research includes the role of engrams in memory and the use of zebrafish as models.
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23

Moyer, Cheryl A. Learning and health behaviour change: An holistic model. 1991.

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24

Learning and health behaviour change: An holistic model. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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25

Kiviniemi, Marc T., e Lynne B. Klasko-Foster. The Behavioral Affective Associations Model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190499037.003.0009.

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Abstract (sommario):
This chapter presents a conceptual overview of the role of affective associations in behavioral decision-making. It focuses first on the mechanisms through which affect influences behavior. It then describes the behavioral affective associations model and provides a summary of the research using the model with examples showing promotion of protective behavior and reduction of risky behavior. While observational studies are included, experimental studies in both laboratory and field settings are highlighted to model how interventions can manipulate affective associations to change behaviors. As affect is central to decision-making, new directions for research, such as the role of constructs related to affect, are explored as they relate to decision-making. Finally, implications for real-world interventions and techniques to use affect as a tool for behavior change are discussed.
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26

Martin, Jeffrey J. Theory of Planned Behavior and Stages of Change Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190638054.003.0035.

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The theory of planned behavior (TPB) and stages of change (SOC) models have been used to predict physical activity (PA) in people with disabilities. The purpose of this chapter is to give an overview of the TPB and SOC models and the research findings stemming from testing them in people with impairments. The health action process approach (HAPA), designed with individuals with disabilities, is also introduced, along with suggested future research using the HAPA. The HAPA is in many ways a meta-theory, as it incorporates many constructs from theories discussed here and in other chapters. For instance, various forms of self-efficacy, outcome expectations, coping, planning, and social support are all included in the HAPA. In addition, the HAPA includes a three-stage model in which people are labeled as pre-intenders, intenders, or actors. Researchers intending to use the SOC theories and the TPB should know that they have come under criticism, and these criticisms are addressed in the chapter.
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27

Health behaviour goal model: Towards a theoretical framework for health behaviour change. [Leiden: Department of Clinical and Health Psychology, Leiden University], 1997.

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28

Harrison, Michael I. Diagnosing Organizations: Methods, Models, and Processes. SAGE Publications, Incorporated, 2014.

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29

Karpyn, Allison. Behavioral Design as an Emerging Theory for Dietary Behavior Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190626686.003.0003.

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In the past two decades, public health interventions have moved from education strategies aimed at individuals to broad, multilevel interventions incorporating environmental and policy strategies to promote healthy food behaviors. These intervention programs continue to employ classic behavior change models that consider individuals as deliberate, intentional, and rational actors. Contrary to the ideas posited by rational choice theory, diet-related literature draws little correlation between an individual’s intentions and his/her resultant behavior. This chapter adds to the dual-system model of cognition—reflective or slow thinking, and automatic or fast thinking—and introduces an emerging theory for dietary behavior change called behavioral design. Behavioral design recognizes that human decisions and actions lie on a continuum between spheres and are continually shaped by the interactions between an agent (individual, group) and his/her/their exposure (environment). More specifically, behavioral design considers the importance of the “experience” left as time passes, such as conditioning, resilience, expectation, repeated behaviors, and normality, as the central and iterative influence on future decisions. Behavioral interventions must consider the individual’s “experience” resulting from his or her interaction with the environment, while acknowledging the fast and slow mechanisms by which choices are made. This chapter introduces aspects to consider when using behavioral design to increase healthier food behaviors and physical activity, and briefly discusses ethics questions related to intentional modification of environment for health behavior change.
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30

Brownstein, Michael. Perception, Emotion, Behavior, and Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190633721.003.0002.

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This chapter describes the four components of unplanned spontaneous inclinations. These are (1) noticing a salient Feature in the ambient environment; (2) feeling an immediate, directed, and affective Tension; (3) reacting Behaviorally; and (4) moving toward Alleviation of that tension in such a way that one’s spontaneous reactions can improve over time. Noticing a salient feature (F), in other words, sets a relatively automatic process in motion, involving co-activating particular feelings (T) and behaviors (B) that either will or will not diminish over time (A), depending on the success of the action. The interaction of FTBA components is described in terms of recent debates about the contents of perception, affective representation, and model-free and model-based evaluative learning.
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31

Advances in Medical Sociology: A Reconsideration of Health Behavior Change Models. JAI Press, 1994.

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32

Maruska, Karen P., e Russell D. Fernald. Social Regulation of Gene Expression in the African Cichlid Fish. A cura di Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.012.

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How does an animal’s social environment shape its behavior and physiology, and what underlying molecular and genetic mechanisms lead to phenotypic changes? To address this question, the authors used a model system that exhibits socially regulated plastic phenotypes, behavioral complexity, molecular level access, and genomic resources. The African cichlid fishAstatotilapia burtoni, in which male status and reproductive physiology are under social control, has become an important model for studying the mechanisms that regulate complex social behaviors. This chapter reviews what is known about how information from the social environment produces changes in behavior, physiology, and gene expression profiles in the brain and reproductive axis ofA. burtoni. Understanding the mechanisms responsible for translating perception of social cues into molecular change in a model vertebrate is important for identifying selective pressures and evolutionary mechanisms that shape the brain and ultimately result in diverse and complex social behaviors.
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33

Azzopardi, Leif, e Guido Zuccon. Economic Models of Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0012.

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Abstract (sommario):
This chapter provides a tutorial on how economics can be used to model the interaction between users and systems. Economic theory provides an intuitive and natural way to model Human-Computer Interaction which enables the prediction and explanation of user behaviour. A central tenet of the approach is the utility maximisation paradigm where it is assumed that users seek to maximise their profit/benefit subject to budget and other constraints when interacting with a system. By using such models it is possible to reason about user behaviour and make predictions about how changes to the interface or the users interactions will affect performance and behaviour. In this chapter, we describe and develop several economic models relating to how users search for information. While the examples are specific to Information Seeking and Retrieval, the techniques employed can be applied more generally to other human-computer interaction scenarios. Therefore, the goal of this chapter is to provide an introduction and overview of how to build economic models of human-computer interaction that generate testable hypotheses regarding user behaviour which can be used to guide design and inform experimentation.
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34

Barzilay, Shira, e Abbie Cohen. Psychological Models of Suicide. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0002.

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A comprehensive model of suicidal processes and behavior is essential for the assessment of imminent risk for suicide and for the design of informed interventions. This chapter provides descriptions of the three generations of the most influential theories of suicidal behavior as well as an assessment of their strengths and limitations. First-generation models were based on clinicians’ individual experiences and, more recently, on consensus opinion and clinical judgment. Second-generation prognostic models hypothesized that suicide risk was determined by measurable long-term biological, clinical, or demographic risk factors. Third-generation models of suicidal behavior focused on dynamic risk elements, which appear later in life, change over time, and are operational immediately proximal to suicide. This chapter provides a historical perspective on the evolution of the theoretical approaches to the understanding of psychological processes that make suicide possible.
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35

Goldberg-Glen, Robin S. Adult day care paraprofessionals becoming behavior change agents: A training model. 1989.

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36

Kahn, Wallace J. The A-B-C's of Human Experience: An Integrative Model. Wadsworth Publishing, 1998.

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37

Rottenberg, Emery. Physical Self-Care : How to Change Mindset and Behavior: Wellness Fitness Model. Independently Published, 2021.

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38

Zander, Fabio. Climate Change Risk Perception and Pro-Environmental Behavior. Toward a Comprehensive Model. GRIN Verlag GmbH, 2018.

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39

Travino, Betty. Physical Self-Care : How to Change Mindset and Behavior: Wellness Fitness Model. Independently Published, 2021.

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40

Diagnosing organizations: Methods, models, and processes. 2a ed. Thousand Oaks, Calif: Sage Publications, 1994.

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41

Diagnosing organizations: Methods, models, and processes. 2a ed. Thousand Oaks, Calif: Sage Publications, 2005.

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42

Diagnosing organizations: Methods, models, and processes. Newbury Park: Sage Publications, 1987.

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43

Conrad, Karen Maria. DEVELOPING AND TESTING A THEORETICAL CAUSAL MODEL OF SMOKING BEHAVIOR CHANGE AT THE WORKSITE (HEALTH BELIEF MODEL). 1989.

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44

Promoting Exercise and Behavior Change in Older Adults: Interventions with the Transtheoretical Model. Springer Publishing, 2001.

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45

Sr, Ralph E. Saucier. Success Through Behavioral Change: Change Your Behavior, Environment, and Life for the Better, with This Self-Help Model. iUniverse, Inc., 2006.

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46

Railsback, Steven F., e Bret C. Harvey. Modeling Populations of Adaptive Individuals. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691195285.001.0001.

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Abstract (sommario):
Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible. This book features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. The book explains how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good—not optimal—decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.
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47

Harrison, Richard, Alessandro Lomi e Michael Lounsbury. Garbage Can Model of Organizational Choice: Looking Forward at Forty. Emerald Publishing Limited, 2015.

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48

Harrison, Richard, Alessandro Lomi e Michael Lounsbury. Garbage Can Model of Organizational Choice: Looking Forward at Forty. Emerald Publishing Limited, 2012.

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49

Stoolmiller, Mike. An Introduction to Using Multivariate Multilevel Survival Analysis to Study Coercive Family Process. A cura di Thomas J. Dishion e James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.27.

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Multivariate multilevel survival analysis is introduced for studying hazard rates of observed emotional behavior relevant for coercion theory. Finite time sampling reliability (FTSR) and short-term retest reliability (STRR) across two occasions (sessions) of observation during structured problem-solving tasks several weeks apart were determined for hazard rates of emotional behaviors for parent–child dyads. While FTSR was high (.80–.96), STRR was low (.16–.65), suggesting that emotional behaviors in the context of parent–child social interaction are not very stable over a period of several weeks. Using latent variable structural equation models that corrected for the low STRR, two hazard rates were predictive of change in child antisocial behavior over a 3-year period (kindergarten to third grade) net of initial child antisocial behavior. Low levels of parent positive emotion and increases from session 1 to 2 of child neutral behavior both accounted for unique variance in third grade antisocial behavior.
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50

Sargent, Thomas J. Rational Expectations and the Reconstruction of Macroeconomics. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691158709.003.0001.

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This chapter discusses the rational expectations reconstruction of macroeconomics. In particular, it examines how the hypothesis of rational expectations has been used to develop econometric models that take into account that people's behavior patterns will vary systematically with changes in government policies—the rules of the game. The chapter looks at two examples that illustrate the general presumption that the systematic behavior of private agents and the random behavior of market outcomes both will change whenever agents' constraints change, as when government policy or other parts of the environment change. The first example deals with investment decision, and the second concerns the inflationary effects of government deficits. The chapter also considers the implications of the rational expectations approach for the ways in which policymakers and their advisers think about the choices confronting them.
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