DOCSLIB.ORG

Giovanni Formilan Curriculum Vitae

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Giovanni Formilan Curriculum Vitae Giovanni Formilan Curriculum Vitae Centre for Interdisciplinary Methodologies University of Warwick, Social Sciences B0.08 Library Road, Coventry CV4 7AL (UK) [email protected] EDUCATION 2016 Ph.D. in General Management. University of Bologna. 2011 M.S. in Decision-making, Entrepreneurship, Social Responsibility. University of Trento. 2009 B.S. in Economics. University of Trento. ACADEMIC APPOINTMENTS AND AFFILIATIONS 2018–present Post-Doctoral Research Fellow. University of Warwick, Centre for Interdisciplinary Methodologies. 2017–2018 Post-Doctoral Research Fellow. University of Bologna, Department of Management. 2019 Visiting Scholar. Department of Management, Freie Universität Berlin. 2017, 2018 Visiting Scholar. Columbia University, Center on Organizational Innovation (COI). 2014–2015 Visiting PhD Candidate. Columbia University, Department of Sociology. RESEARCH INTERESTS Organization theory, strategy, economic sociology, creative and cultural industries. Multivariate Regression, Social Sequence Analysis, Social Network Analysis, Image Processing and Analysis. PUBLICATIONS Forthcoming Formilan G. (2019). Organizational style, style typologies, and stylistic coherence in the ranking distribution of creative producers. Advances in Strategic Management. In Press Formilan G., Ferriani S., and Cattani G. (2019). A methodological essay on the application of social sequence analysis to the study of creative trajectories. In Dörfler, V., Stierand, M. (eds.). Handbook of Research Methods on Creativity, Edward Elgar Publishing. 1 2018 Formilan G. and Boari C. (2018). “Social and cognitive dimensions of categorization in the evaluation of category-spanning creative products”. In Canonico P., Consiglio S., Mangia G., Martinez M., Mercurio R., Moschera L. (eds.). Organizing in the shadow of power: voices from the Italian community of organization studies. 555-606. Studi MOA, Roma: Minerva Bancaria. 2016 Formilan G. (2016). Essays on identity social construction, multidimensionality, and its effect on creative products’ performance in Electronic Dance Music. Alma Mater Studiorum – University of Bologna, Ph.D. Thesis in General Management, XXVIII cycle, Dissertation Committee: Cristina Boari, Simone Ferriani, David Stark. WORKING PAPERS Formilan G. (2019). Stylistic Erraticism in early-career creative production. Market reception and the immunity of newness. University of Warwick, Centre for Interdisciplinary Methodologies. Formilan G. and Stark D. (2019). Moments of Identity. Artists and their Aliases in Electronic Music. University of Warwick, Centre for Interdisciplinary Methodologies. Under review at Organization Studies. Formilan G. and Stark D. (2019). Testing the Creative Identity. Personas as Probes in Underground Electronic Music. University of Warwick, Centre for Interdisciplinary Methodologies. Under review at British Journal of Sociology. Formilan G. and Boari C. (2019). The reluctant preference. Categorical recombination and the effect of community endorsement. University of Bologna, Department of Management. Under review at Industrial and Corporate Change. CONFERENCE AND SEMINAR PRESENTATIONS 2019 Formilan G. “Stylistic erraticism in early-career creative production. Market reception and the immunity of newness”. Accepted at 35th Annual Meeting of the European Group of Organizational Studies, July 4-6, 2019, Edinburgh, Scotland UK. 2018 Formilan G. and Stark D. “Moments of Identity. Artists and their Aliases in Electronic Music”, Undergraduate Seminar at Sociology, Columbia University, October 2018. 2018 Formilan G. and Stark D. “Moments of Identity. Artists and their Aliases in Electronic Music”, 34th Annual Meeting of the European Group for Organizational Studies, July 5-7, 2018, Tallinn, Estonia. 2018 Formilan G. and Stark D. “Moments of Identity. Artists and their Aliases in Electronic Music”, July 26, 2018 – Department of Management, Freie Universität Berlin, Seminars of the Department of Management. 2 2017 Formilan G. and Stark D. “The Organization of Self in the Age of Projected Identity”, CODES Seminar, Center on Organizational Innovation, Columbia University, New York. 2016 Formilan G. and Boari C. “Do you note me? The impact of multidimensional identity on Electronic Dance Music performance”, 32nd Annual Meeting of the European Group for Organizational Studies, July 7-9, 2016 – Naples, Italy. PARTICIPATION IN INTERNATIONAL RESEARCH GROUPS 2017-2019 Diversity and Performance: Networks of Cognition in Markets and Teams (Blindspot). ERC Grant, PI: David Stark. Member of the research team. 2017-2018 Recognize the Novelty (RINO). ALMA Idea Grant, PI: Simone Ferriani. Member of the research team and co-applicant. 2016-2017 Disentangling network and entrepreneurial roles in clusters: preparing for a joint research project (NET-WINE). FIBRA and UNIBO grant. PI: Cristina Boari. Member of the research team. 2014 Marco Polo Program. UNIBO research grant. Applicant; fully funded. PARTICIPATION IN ACADEMIC WORKSHOPS 2019 Crete workshop on innovation and creativity. Crete, July 25-26, 2019. Co-sponsored by University of Bologna, University of Warwick, and ESADE Business School. 2019 Creative Industries Conference. Paris, June 21-22, 2019. Business Incubator Station F, co-hosted by HEC Paris, INSEAD, IESEG School of Management, and ESSEC Business School. 2019 7th Austrian Early Scholars Workshop in Management. Vienna, May 6-7, 2019. WU – Wirtschaftsuniversität Wien. 2018 Put to the Test. Critical Evaluations of Testing. International Workshop. December 10-11, 2018. Warwick in London, UK. 2018 Medici Summer School in Management Studies. Organizations as Vehicles and Settings for Social Change. Bologna, June 11-15, 2018. 2018 Performances of Value. International Workshop. 5-6 May 2018. Warwick in London, UK. 2018 Creativity and Fields. 2nd International Conference of the Research Training Group (GRK 1672) “Innovation Society Today” and 2nd Annual Conference of the Research Unit (FOR 2161) “Organized Creativity“. Technische Universität Berlin, June 28-29, 2018. 2016 Essex Summer School in Social Science Data Analysis. Courses of Advanced Quantitative Data Analysis (instr. Prof. Vera Tröger) and Mathematics (part 3, instr. Dan Brown). 3 2014 New Directions in Economic Sociology. PhD course (instr. Prof. David Stark), Columbia University, New York. 2014-2015 CODES Seminars. Center on Organizational Innovation, Columbia University, New York. TEACHING, T.A. AND MENTORING Entrepreneurship – The Start Up Game Simulation (co-instructor). Bologna Business School & Cass Business School. 2018-2019 Entrepreneurship (co-instructor). CLAMDA Master’s Program, University of Bologna. 2016–2018. Business Venturing (co-instructor). CLAMDA International Management Master’s Program, University of Bologna. 2016–2018. Business Model definition (instructor). University of Bologna, Department of Chemistry, PhD Program. 2017 Knowledge Management in Art Organizations (co-instructor). GIOCA Master’s Program, University of Bologna. 2016–2019. Managing Networks in the Arts (co-instructor). GIOCA Master’s Program, University of Bologna. 2016–2018. Corporate Strategy (T.A.). CLAMEP Master’s Program, University of Bologna. 2016/2017. Sustainable Innovation Laboratory (T.A.). CLAMDA International Management Master’s Program, University of Bologna. 2016/2017. Business Plan Laboratory (T.A.). CLAMDA Master’s Program, University of Bologna. 2016–2018. Accounting and Cost Analysis (trainer). Industrial Engineering Undergraduate, University of Bologna. 2016/2017. Business Model and Value Creation in the digital era: case studies from the music industry (2015). Master’s Thesis Supervision. Candidate: Emilio Tropea, Supervisor: Simone Ferriani. LANGUAGES Italian (native); English (fluent); German (fair); French (basic). May 2019 4 .
Load more

Recommended publications
  • Gilbert Ritschard · Matthias Studer Editors Innovative Methods and Applications
    Life Course Research and Social Policies 10 Gilbert Ritschard · Matthias Studer Editors Sequence Analysis and Related Approaches Innovative Methods and Applications Life Course Research and Social Policies Volume 10 Series editors Laura Bernardi Dario Spini Jean-Michel Bonvin Life course research has been developing quickly these last decades for good reasons. Life course approaches focus on essential questions about individuals’ trajectories, longitudinal analyses, cross-fertilization across disciplines like life-span psychology, developmental social psychology, sociology of the life course, social demography, socio-economics, social history. Life course is also at the crossroads of several fields of specialization like family and social relationships, migration, education, professional training and employment, and health. This Series invites academic scholars to present theoretical, methodological, and empirical advances in the analysis of the life course, and to elaborate on possible implications for society and social policies applications. More information about this series at http://www.springer.com/series/10158 Gilbert Ritschard • Matthias Studer Editors Sequence Analysis and Related Approaches Innovative Methods and Applications Editors Gilbert Ritschard Matthias Studer NCCR LIVES and Geneva School NCCR LIVES and Geneva School of Social Sciences of Social Sciences University of Geneva University of Geneva Geneva, Switzerland Geneva, Switzerland ISSN 2211-7776 ISSN 2211-7784 (electronic) Life Course Research and Social Policies ISBN
    [Show full text]
  • Social Sequence Analysis: Methods and Applications Benjamin Cornwell Frontmatter More Information
    Cambridge University Press 978-1-107-10250-7 - Social Sequence Analysis: Methods and Applications Benjamin Cornwell Frontmatter More information Social Sequence Analysis Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories, and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science, and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social sci- entists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/fam- ily schedules, communication scholars and micro-sociologists who study conversation, interaction structures, and small-group dynamics, as well as social epidemiologists. Benjamin Cornwell is an associate professor of sociology at Cornell University. He received his PhD in sociology at the University of Chicago. His research has been published in journals such as American Journal of Sociology, American Sociological Review, and Social Forces. His work has been covered in many media outlets, including CNN, the New York Times, MSNBC, and the Los Angeles Times. In 2012, he taught one of the first graduate
    [Show full text]
  • Benjamin Cornwell
    BENJAMIN CORNWELL 342 Uris Hall Sociology office: (607) 255-4266 Department of Sociology Fax: (607) 255-8473 Cornell University Email: [email protected] Ithaca, NY 14853 ACADEMIC POSITIONS 2020- Professor and Chair, Department of Sociology, Cornell University 2014-2020 Associate Professor, Department of Sociology, Cornell University 2008-2014 Assistant Professor, Department of Sociology, Cornell University 2007-2008 Postdoctoral Fellow, Center on the Demography and Economics of Aging, University of Chicago EDUCATION 2007 Ph.D., Sociology, University of Chicago Dissertation: Physical Function and Social Action: Implications for Social Connectedness. Committee: Edward O. Laumann (chair), Linda J. Waite, Jason Beckfield 2001 M.A., Sociology, The Ohio State University (chair, James Moody) 2000 B.A., Magna Cum Laude, high honors in Sociology, University of Cincinnati BOOKS Cornwell, Benjamin. 2015. Social Sequence Analysis. New York: Cambridge University Press. Carr, Deborah, Shelley Correll, Robert Crosnoe, Jeremy Freese, Mary Waters, Benjamin Cornwell, and Elizabeth Boyle. 2017. The Art and Science of Social Research. New York: W. W. Norton & Company. JOURNAL ARTICLES Cornwell, Benjamin, Xuewen (Shelley) Yan, Rachel Y. Moon, Rebecca F. Carlin, Linda Fu, Jichuan Wang, and Yao I. Cheng. “Social Network Influences on Mothers’ Infant Sleep Adjustments.” Forthcoming in Social Science & Medicine. Weeden, Kim, and Benjamin Cornwell. 2020. “The Small World Network of College Classes: Implications for Epidemic Spread on a University Campus.” Sociological Science. [Press coverage: The Atlantic, The Boston Globe, Chronicle of Higher Education, CNN’s “Chris Cuomo Primetime,” Forbes, NPR’s “Morning Edition,” The Wall Street Journal, WSKG] Benjamin Cornwell, 11/10/2020, Page 2 of 16 Cornwell, Benjamin, Alyssa Goldman, and Edward O.
    [Show full text]
  • Organizational Deference As Strategic Behavior1
    The Price of Admission: Organizational Deference as Strategic Behavior1 Julien Jourdan Université Paris—Dauphine/PSL Rodolphe Durand HEC Paris Patricia H. Thornton Texas A&M University Why would market organizations engage in symbolic and material acts conveying appreciation and respect to other organizations that confirm their inferior position in an established hierarchy? The au- thors argue that deference is the price outsider organizations pay to pass categorical and symbolic boundaries and gain acceptance in con- texts where insiders regard them as impure. Because not all organiza- tions can or are willing to pay the price, deference varies according to positional, dispositional, and interactional characteristics. The authors examine and find support for the view of organizational deference as strategic behavior using empirical evidence on market finance organi- zations investing in film production in France over two decades. The analysis expands research on nonconflictual interactions and symbolic boundaries in market settings. INTRODUCTION Goffman’s (1956, 1959, 1967) seminal work emphasizes the role that defer- ence plays in enabling strangers and people of different standings, occupa- 1 We would like to acknowledge valuable feedback from Rich Burton, Mukti Khaire, Pierre-Antoine Kremp, Dalhia Mani, John Meyer, and Markus Perkmann, as well as © 2017 by The University of Chicago. All rights reserved. 0002-9602/2017/12301-0006$10.00 232 AJS Volume 123 Number 1 (July 2017): 232–275 This content downloaded from 071.202.037.210 on July 02, 2017 11:50:41 AM All use subject to University of Chicago Press Terms and Conditions (http://www.journals.uchicago.edu/t-and-c).
    [Show full text]
  • Trajectories of Union Transition in Emerging Adulthood: Socioeconomic Status and Race/Ethnicity Differences in the National Longitudinal Survey of Youth 1997 Cohort
    Yang Zhang University of Michigan Shannon Ang University of Michigan and Nanyang Technological University∗ Trajectories of Union Transition in Emerging Adulthood: Socioeconomic Status and Race/Ethnicity Differences in the National Longitudinal Survey of Youth 1997 Cohort Objective: The objective of this study was to assess the probability of membership in each to describe the patterns of union transition cluster. in emerging adulthood for the 1980 to 1984 Results: The findings showed the follow- cohort and examine its associations with ing six key clusters of trajectories: mostly socioeconomic status and race/ethnicity. single (37.6%), some cohabiting (13.8%), Background: Research on diverging destinies serial cohabiting (10.6%), early 20s marriage of cohabitation and marriage tends to focus on (11.4%), late 20s marriage (22.5%), and tur- singular transitions rather than entire individ- bulent (4.1%). We found that young adults ual trajectories composed of dimensions such as were most likely to be in the “mostly single” timing, order, duration, and number of transi- cluster, regardless of socioeconomic status and tions. race/ethnicity. Individuals with college degrees Method: Drawing on monthly prospective data tended to marry in their late 20s, whereas from the National Longitudinal Survey of Youth individuals without college degrees were more 1997, social sequence analysis was used to clas- likely to be in “serial cohabiting” and “tur- sify union transition trajectories from ages 16 bulent” clusters. Individuals who lived with to 30. Multinomial logistic regression was used neither of their biological parents were more likely to belong to “early 20s marriage” and “turbulent” clusters when compared with those who lived with at least one of their biological Department of Sociology, University of Michigan, 500 S.
    [Show full text]
  • Politicized Business Ties: Network Dynamics of a Democratizing Polity and a Globalizing Economy, Hungary 1987-2006 David Stark
    Politicized Business Ties: Network Dynamics of a Democratizing Polity and a Globalizing Economy, Hungary 1987-2006 David Stark (PI) and Balazs Vedres (Co-PI) Project summary This project analyzes the interactions of firms and parties across an entire epoch of economic and political transformation from 1987 to 2006 in a case where market-oriented enterprises and competitive political parties emerged in tandem. The proposed case involves the simultaneous transformation of political and economic fields, the separation of state from economy and a possible re-politicization of the economic field. In examining newly market-oriented firms and newly competitive political parties, a key question arises: What is the relationship between business networks and political ties? By collecting data on political business groups from the first moment of network formation, the project will test rival hypotheses from political sociology and political science about the causal relations and timing of business ties and political affiliations. The case provides an opportunity to study how the dynamics of network evolution at the national level are shaped additionally by transnational processes, both economic and political. From a relatively autarchic, closed economy, Hungary is now integrated into the EU and has one of the most open economies in the world, with unprecedented levels of foreign direct investment. Does massive foreign investment lead to the break up of business groups? Or does it precipitate group restructuring, perhaps in the direction of more defensively cohesive groups composed of firms without foreign investment but with even stronger ties to national politicians? Similarly, as regulatory policy shifts from Budapest to Brussels, do we see an attendant decline in affiliations to national parties, or perhaps a shift from national to supranational or even to local level affiliations? To study the formation and dynamics of political business groups, the investigators will construct an unprecedented dataset.
    [Show full text]
  • A Methodological Essay on the Application of Social Sequence Analysis to the Study of Creative Trajectories*
    A Methodological Essay on the Application of Social Sequence Analysis to the Study of Creative Trajectories* Giovanni Formilan Management Department University of Bologna [email protected] & University of Warwick Centre for Interdisciplinary Methodologies Simone Ferriani Management Department University of Bologna [email protected] & Cass Business School City University London Gino Cattani Department of Management & Organizations Stern School of Business – NYU [email protected] To appear in abbreviated format in Formilan G., Ferriani, S. and Cattani, G. (2019). A methodological essay on the application of social sequence analysis to the study of creative trajectories. In Dörfler, V. and Stierand, M. (eds.). Handbook of Research Methods on Creativity, Edward Elgar Publishing. Acknowledgments The authors gratefully acknowledge financial assistance from the University of Bologna (Alma Idea Funding Scheme), the MIUR-PRIN (“Creativity, Audiences and Social Evaluation” [Grant: 2015LJXRXJ] and the European Research Council (“Blindspot” [Grant: 695256]). 1 Abstract In this essay, we present and illustrate a few applications of social sequence analysis (SSA) to the study of creativity. Focusing on complete sequences of events rather than on localized situations, SSA enables the analytical treatment of creativity as a process that unfolds over time, offering a fuller representation of temporal dynamics of creativity than is typically possible with other methods such as event history analysis, repeated measures, or panel design methods. We suggest that SSA holds great promise for research on creative industries, as it is particularly well suited to detect similarities among diverse creative trajectories while at the same time preserving their singularities. To substantiate our suggestions we employ data from the underground electronic music to examine trajectories of stylistic variation and illustrate how to implement sequence methods to augment and/or complement other research designs.
    [Show full text]
  • Machine Learning for Sociologya
    Machine Learning for Sociologya Mario Molina ([email protected])∗ Filiz Garip ([email protected])∗ *Department of Sociology, Cornell University, Ithaca, NY, 14853, USA January 9, 2019 aThis manuscript is forthcoming in the Annual Review of Sociology, vol. 45, 2019. Abstract Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information and knowledge from data. Its applications increasingly find their way into economics, political science, and sociology. We offer a brief intro- duction into this vast toolbox, and illustrate its current uses in social sciences, including distilling measures from new data sources, such as text and images; characterizing pop- ulation heterogeneity; improving causal inference, and offering predictions to aid policy decisions and theory development. In addition to providing similar use in sociology, we argue that ML tools can speak to long-standing questions on the limitations of the linear modeling framework; the criteria for evaluating empirical findings; transparency around the context of discovery, and the epistemological core of the discipline. Keywords: supervised learning, unsupervised learning, causal inference, prediction, het- erogeneity, discovery Introduction Machine learning (ML) seeks to automate discovery from data. It represents a break- through in computer science where intelligent systems typically involved fixed algorithms (logical set of instructions) that code the desired output for all possible inputs. Now, intelligent systems `learn' from data, and estimate complex functions that discover rep- resentations of some input (X), or link the input to an output (Y ) in order to make predictions on new data (Jordan & Mitchell, 2015). ML can be viewed as an off-shoot of non-parametric statistics (Kleinberg et al., 2015).
    [Show full text]
  • Do Different Approaches in Population Science Lead to Divergent Or Convergent Models? Daniel Courgeau
    Do Different Approaches in Population Science Lead to Divergent or Convergent Models? Daniel Courgeau To cite this version: Daniel Courgeau. Do Different Approaches in Population Science Lead to Divergent or Convergent Models?. Sequence analysis and related approaches, pp.15-33, 2018, 10.1007/978-3-319-95420-2_2. hal-02918485 HAL Id: hal-02918485 https://hal.archives-ouvertes.fr/hal-02918485 Submitted on 20 Aug 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Do Different Approaches in Population Science Lead to Divergent or Convergent Models? Daniel Courgeau 1 Introduction Since its introduction by Graunt in 1662, the scientific study of population, initially called political arithmetick, has become possible not only for demography but also for epidemiology, political economy, and other fields. For more than 200 years, researchers adopted a cross-sectional approach in which social facts in a given period exist independently of the individuals who experience them, and can be explained by various characteristics of the society of that period. After the end of World War II, researchers examined social facts from a new angle, introducing individuals’ life experience. This longitudinal approach holds that the occurrence of a given event, during the lifetime of a birth cohort, can be studied in a population that maintains all its characteristics as long as the phenomenon persists.
    [Show full text]
  • Using Sequence Analysis to Quantify How Strongly Life Courses Are Linked Tim F
    Using Sequence Analysis to Quantify How Strongly Life Courses Are Linked Tim F. Liao University of Illinois Abstract: Dyadic or, more generally, polyadic life course sequences can be more associated within dyads or polyads than between randomly assigned dyadic/polyadic member sequences, a phe- nomenon reflecting the life course principle of linked lives. In this article, I propose a method of U and V measures for quantifying and assessing linked life course trajectories in sequence data. Specifically, I compare the sequence distance between members of an observed dyad/polyad against a set of randomly generated dyads/polyads. The U measure quantifies how much greater, in terms of a given distance measure, the members in a dyad/polyad resemble one another than do members of randomly generated dyads/polyads, and the V measure quantifies the degree of linked lives in terms of how much observed dyads/polyads outperform randomized dyads/polyads. I present a simulation study, an empirical study analyzing dyadic family formation sequence data from the Longitudinal Study of Generations, and a random seed sensitivity analysis in the online supplement. Through these analyses, I demonstrate the versatility and usefulness of the proposed method for quantifying linked lives analysis with sequence data. The method has broad applicability to sequence data in life course, business and organizational, and social network research. Keywords: sequence analysis; life course; linked lives; dyads; polyads MONG the five general life course principles of life span development—agency, A time, space, timing, and linked lives (Elder, Johnson, and Crosnoe 2003)—the principle of linked lives is the only one that directly connects life course trajectories of people in salient relationships.
    [Show full text]
  • If Parsons Had Pajek: the Relevance of Midcentury Structural-Functionalism to Dynamic Network Analysis*
    If Parsons had Pajek: The Relevance of Midcentury Structural-Functionalism to Dynamic Network Analysis* Benjamin Cornwella and Edward O. Laumannb Abstract Social network analysis has been one of the most influential scientific revolutions of the past century. Its success has been due, in part, to its methodological sophistication and the emphasis it places on identifying and clearly depicting features of social structure. As such, social network analysis is often viewed in stark contrast to the structuralist paradigm that dominated the social sciences prior to its rise – structural-functionalism – in the mid-20th century. In this paper, we highlight important connections that exist between the key assumptions of social network analysis and the key tenets of some of the most influential structural-functional theories – especially those of Robert K. Merton and Talcott Parsons and their collaborators and followers. We reveal a substantial affinity between some of their most influential ideas and contemporary analysis of social network dynamics, in particular, and several ways in which their work could inform promising advances in this line of research. Our ultimate goal is to highlight the prospect of using these theories to guide future analyses of the dynamics of large social systems and the sequences of real-time action that compose them. _____________________________ a Corresponding author: Department of Sociology, Cornell University, 342 Uris Hall Ithaca, NY 14853, [email protected]. We thank Maoz Brown, Claude Fischer, Joseph Galaskiewicz, Mark Granovetter, James Iveniuk, Markus Schafer, Alan Sica, Richard Swedberg, Erin York Cornwell, an anonymous reviewer, and John Skvoretz for reading early drafts and providing insightful comments that improved this paper b Department of Sociology,University of Chicago, 1126 E.
    [Show full text]
  • Stockholm Studies in Sociology New Series 67
    ACTAUNIVERSITATISSTOCKHOLMIENSIS Stockholm Studies in Sociology New Series 67 Modeling Organizational Dynamics Distributions, Networks, Sequences and Mechanisms Hernan Mondani c Hernan Mondani, Stockholm University 2017 Cover image: c Hernan Mondani, 2017 Typeset in LATEX ISBN 978-91-7649-673-2 (print) ISBN 978-91-7649-674-9 (digital) ISSN 0491-0885 Printed in Sweden by US-AB, Stockholm 2017 Distributor: Department of Sociology, Stockholm University To my indomitable tenacity and my generous creativity Contents List of Figures xi List of Tables xiii List of Papers xv Acknowledgments xvii Sammanfattning xxv 1 Organizational Dynamics and the Logics of Change1 1.1 Introduction and Research Challenges . .1 1.1.1 Social Organizing and Organizational Change . .1 1.1.2 Theories on Organizational Change . .3 1.1.3 Methods for Organizational Change . .4 1.2 Organizational Dynamics . .6 1.2.1 The Logics of Change . .6 1.2.2 Aim of the Thesis . .6 1.3 Outline of the Thesis . .7 2 Modeling Organizational Dynamics9 2.1 A Phenomenology of Organizational Dynamics . .9 2.1.1 Counting and Sorting Objects . 10 2.1.2 Dependencies Between Objects . 12 2.1.3 Change Events . 13 2.2 The Modeling Process . 14 2.3 Modeling Stages . 16 2.3.1 Observation: the Realm of Data . 16 2.3.2 Abstraction: the Realm of Concepts . 16 2.3.3 Representation: the Realm of Measures and Methods . 17 2.3.4 Analysis: the Realm of Result Representations . 20 2.4 Articulating the Logics of Change . 20 vii 3 Data 25 3.1 The Database . 25 3.1.1 Brief Data Description .
    [Show full text]