EAAL Framework - Selection of Antifragile literature

The following literature is the selection of literature that where deemed to be relevant to antifragility.

Literature was deemed relevant when the topic is resilience, complexity and/or when it discusses concepts that are refered to by other AF literature.

The list is NOT in alphabetical order.

1. Ahuja and Katila, 2004, Where do resources come from? the role of idiosyncraticsituations. Strategic Management Journal, 25(8-9):887–907.

2. Ambler, 2009, The agile scaling model (asm): Adapting agile methods for complex environments. Environments, pages 1–35.

3. Beck et al., 2006, The determinants of financing obstacles. Journal of International Money and Finance, 25(6):932–952.

4. Dobbs and Hamilton, 2007, Small business growth: recent evidence and new directions. International journal of entrepreneurial behaviour & research, 13(5):296–322.

5. Eckardt, 2018, Company maturity matrix. EMAJ: Emerging Markets Journal, 8(1):28–30.

6. Feindt et al., 2002, Identifying success factors for rapid growth in sme e-commerce. Small Business Economics, 19:51–62.

7. Jaaron and Backhouse, 2014a, Building antifragility in service organisations: Going beyond resilience. International Journal of Services and Operations Management, 19(4):491–513.

8. Jaaron and Backhouse, 2014b, Learning from chaos: the advent of antifragility in service organisations. In Proceedings of the 2014 POMS International Conference, Singapore,pages 1–8

9. Kinneen and Younas, 2018, Self-managing organisations in the context of entrepreneurial innovation. Master’s thesis, Uppsala University, Department of BusinessStudies, Uppsala, Sweden.

10. Love and Roper, 2015, SME innovation, exporting and growth: A review of existing evidence. International small business journal, 33(1):28–48.

11. Madrid-Guijarro et al., 2009, Barriers to innovation among spanish manufacturing smes. Journal of Small Business Management, 47(4):465–488.

12. Maveau, 2017, Agile organisations and human potential: in need for fast zebra’s? Master’s thesis, University of Gent, Master of Science in de Handelswetenschappen, Gent, Belgium.

13. Mazzei and Ravazzani, 2015, Internal crisis communication strategies to protect trust relationships: A study of italian companies. International Journal of Business Communication, 52(3):319–337.

14. Pincus et al., 2017, Nonlinear dynamical systems and humanistic psychology. Journal of Humanistic Psychology, 58(3):343–366

15. Porter, 1996, What is strategy? Harvard Business Review, 74(6):61–78

16. Rupeika-Apoga and Danovi, 2015, Availability of alternative financial resources for smes as a critical part of the entrepreneurial ecosystem: Latvia and Italy . Procedia Economics and Finance, 33:200–210

17. Simpson et al., 2012, Towards a new model of success and performance in smes. International journal of entrepreneurial Behavior & Research,18(3):264–285

18. Smallbone et al., 2012, small business responses to a major economic downturn: Empirical perspectives from New Zealand and the United Kingdom. International Small Business Journal, 30(7):754–777.

19. Vargo and Seville, 2011, Crisis strategic planning for smes: finding the silver lining. International Journal of Production Research, 49(18):5619–5635.

20. Aven, 2011, On some recent definitions and analysis frameworks for risk, vulnerability,and resilience. Risk Analysis: An International Journal, 31(4):515–522

21. Aven, 2012, The risk concept — historical and recent development trends. Reliability Engineering & System Safety, 99:33–44.

22. Aven, 2015, The concept of antifragility and its implications for the practice of risk analysis.Risk Analysis, 35(3):476–483.

23. Augusto Wrede and Simari, 2001, Temporal defeasible reasoning.Knowl. Inf. Syst.,3:287–318

24. Bennett and Lemoine, 2014a, What a difference a word makes: Understanding threats to performance in a vuca world.Business Horizons, 57(3):311 – 317

25. Bera et al., 2017, Randomness inquantum mechanics: philosophy, physics and technology.Reports on Progress in Physics,80(12):124001.

26. Bradnick, 2008, A pentecostal perspective on entropy, emergent systems, and eschatology. ZygonRc , Journal of Religion and Science, 43:925–942

27. Bradt, 2011, The fractography and crack patterns of broken glass.Journal of Failure Analysis and Prevention, 11(2):79–96

28. Chakrabarti and De, 2000, Boltzmann-gibbs entropy: Axiomatic characterisation and application.International Journal of Mathematics and Mathematical Sciences, 23:243–251.

29. Christen and Franklin, 2002, The concept of emergence in complexity science:Finding coherence between theory and practice.Proceedings of the Complex Systems SummerSchool, 4

30. Chrousos, 2009, Stress and disorders of the stress system.Nature reviews endocrinology,5(7):374–381

31. Crutchfield, 2009, The hidden fragility of complex systems— consequences of change,changing consequences.Cultures of Change: Social Atoms and Electronic Lives, 98-111:98–111

32. Derbyshire and Wright, 2014, Preparing for the future: Development of an ‘antifragile’methodology that complements scenario planning by omitting causation.Technological Forecasting and Social Change, 82:215–225

33. Governatori and Terenziani, 2007, Temporal extensions to defeasible logic. In Orgun,M. A. and Thornton, J., editors,AI 2007: Advances in Artificial Intelligence, pages 476–485,Berlin, Heidelberg, Germany. Springer

34. Kraus et al., 2012, Entrepreneurial orientation and the business performance of smes: a quantitative study from the Netherlands. Review of Managerial Science, 6(2):161–182

35. Liu and Thompson, 2002, Randomness: Rethinking the foundation of probability.In Proceedings of the twenty fourth annual meeting of the North American chapter of the International Group for the Psychology of Mathematics Education, Athens, GA, volume 3, pages1331–133

36. Makridakis and Taleb, 2009a, Forecasting and uncertainty in the economic and business world.International Journal of Forecasting, 25(4):794–812

37. Makridakis and Taleb, 2009b, Decision making and planning under low levels of predictability.International Journal of Forecasting, 25(4):716–733.

38. Martin-Breen and Anderies, 2011, The bellagio initiative, background paper, resilience: A literature review. In Resilience: A Literature Review, Brighton:IDS. c CC BY-SA 4.0 – Version: v1.0 20200514 Edzo A. BOTJES – https: // gitlab. com/ edzob/ antifragile-research 110 Appendix D. Appendix - Antifragility Papers

39. Nute, 2003, Defeasible logic. In Bartenstein, O., Geske, U., Hannebauer, M., and Yoshie,O., editors,Web Knowledge Management and Decision Support, pages 151–169, Heidelberg,Berlin, Germany. Springer Berlin Heidelberg

40. Potsangbam, 2017, Adaptive performance in vuca era – where is research going?International Journal of Management (IJM), 8(6):99–108.

41. Santos, 2012, why resilience?ä review of literature of resilience and implications for further educational research. In Review of Resilience Research, Claremont, CA. Claremont Graduate University & San Diego State University

42. Scholz et al., 2012, Risk, vulnerability, robustness, and resilience from a decision-theoretic perspective.Journal of Risk Research, 15(3):313–330

43. Ruiz-Martin et al., 2018, What we know and do not know about organisational resilience.International Journal of Production Management andEngineering, 6(1):11–28

44. Taleb et al., 2009, The six mistakes executives make in risk management.Harvard Business Review, 87(10):78–81

45. Walker et al., 2004, Resilience, adaptabilityand transformability in social–ecological systems.Ecology and society, 9(2).

46. Wang et al., 2017, Analysis of the definitions of resilience.IFAC-PapersOnLine, 50(1):10649–10657.

47. Ansar et al., 2017, Big is fragile: An attempt at theorising scale.The Oxford Handbook of Mega project Management, 84:60–95

48. Danchin et al., 2011, Antifragility and tinkering in biology (and in business) flexibility provides an efficient epigenetic way to manage risk.Genes, 2(4):998–1016

49. Feygenson and Feygenson, 2017, Modern triz and the concept of antifragility.friends, enemies or frenemies? In The 13th International Conference. TRIZfest-2017

50. Ghasemi and Alizadeh, 2017, Evaluating organisational antifragility via fuzzy logic. the case of an Iranian company producing banknotes and security paper.Operations Research and Decisions, 1:21–43.

51. Grube et al., 2013, Niches and Adaptations of Polyextremotolerant Black Fungi, volume 27, pages 551–566. Springer, Dordrecht, the Netherlands

52. Jones, 2014, . Engineering antifragile systems: A change in design philosophy. Procedia computer science, 32:870–875

53. Kennon et al., 2015, An alternative view to assessing antifragility in an organisation: A case study in a manufacturing sme. CIRP annals :manufacturing technology, 64:177–180.

54. Markey-Towler, 2018, Antifragility, the black swan and psychology.Evolutionary and Institutional Economics Review, 15(2):367–384

55. Martinetti et al., 2017, Storytelling as a strategy in managing complex systems: using antifragility for handling an uncertain future in reliability.Safety and Reliability, 37(4):233–247

56. Passos et al., 2018, From resilience to the design of antifragility. In pesaro 2018, volume 1, pages 7–11.

57. Pineda et al., 2018, Antifragility of random booleannetworks.arXiv preprint arXiv:1812.06760, abs/1812.06760

58. Starossek et al., 2011, Report of the terminology and procedures sub-committee (sc1): Recommendations for design against disproportionate collapse of structures. In Structures Congress 2011,pages 2090–2103

59. Taleb and Douady, 2013, Mathematical definition, mapping, and detection of(anti) fragility.Quantitative Finance, 13(11):1677–1689

60. Tseitlin, 2013, The antifragile organisation.Communications of the ACM, 56(8):40–44

61. Bennett and McGinnis, 2008, Coupled and complex: Human–environment interaction in the greater Yellowstone ecosystem, USA. Geoforum, 39(2):833–845

62. Buldyrev et al., 2010, Catastrophic cascade of failures in interdependent networks.Nature, 464(7291):1025

63. Dahlberg, 2015, Resilience and complexity: Conjoining the discourses of two contested concepts. Culture Unbound: Journal of Current Cultural Research, 7(3):541–557.

64. Dietz et al., 2013, The discipline of enterprise engineering.International Journal of Organisational Design and Engineering, 3:86–114

65. Kurtz and Snowden, 2003, The new dynamics of strategy: Sense-making in a complex and complicated world.IBM systems journal, 42(3):462–483

66. Liening, 2013, The breakdown of the traditional mechanistic worldview, the development of complexity sciences and the pretence of knowledge in economics.Modern Economy, 4(04):305

67. Nurmi et al., 2019, Systems Approaches in the Enterprise Architecture Field of Research: A Systematic Literature Review, pages 18–38. Springer International Publishing, Cham.

68. Wojcik and Hoffman, 2006, Systems of systems engineering in the enterprise context: a unifying framework for dynamics. In 2006 IEEE/SMC International Conference on System of Systems Engineering, pages 8–pp

69. Proper and Lankhorst, 2014, Enterprise architecture – towards essential sense-making. Enterprise Modelling and Information Systems Architectures, 9:5–21.

70. Abid et al., 2014, Toward antifragile cloud computing infrastructures. Procedia Computer Science, 32:850– 855.

71. Monperrus, 2017, In Companion to the First International Conference on the Art, Science and Engineering of Programming, Programming ’17, pages 1–4, New York, NY, USA. ACM.

72. Ramirez and Itoh, 2014, An initial approach towards the implementation of human error identification services for antifragile systems. In 2014 Proceedings of the SICE Annual Conference (SICE), pages 2031–2036.

73. Rinaldi et al., 2001, Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems, 21(6):11–25.

74. Müller et al., 2013, Resilience-a new research field in business information systems? In International Conference on Business Information Systems, pages 3–14.

75. O’Reilly, 2019, No more snake oil: Architecting agility through antifragility. Procedia Computer Science, 151:884–890.

76. Russo and Ciancarini, 2016, A proposal for an antifragile software manifesto. Procedia Computer Science, 83:982–987.

77. Gorgeon, 2015, Anti-fragile information systems (completed research paper). In Antifragile Information Systems, Fort Worth.

78. Guang et al., 2014, Positioning antifragility for clouds on public infrastructures. Procedia Computer Science, 32:856–861

79. Kim et al., 2019, A multilayer structure facilitates the production of antifragile systems in boolean network models. arXiv preprint arXiv:1902.11214, abs/1902.11214:15

80. Monperrus, 2017, Principles of antifragile software. In Companion to the First International Conference on the Art, Science and Engineering of Programming, Programming ’17, pages 1–4, New York, NY, USA. ACM.

81. Lehman, 1980, Programs, life cycles, and laws of software evolution. Proceedings of the IEEE, 68(9):1060–1076.

82. Lehman, 1996 Laws of software evolution revisited. In Proceedings of the 5th European Workshop on Software Process Technology, EWSPT ’96, pages 108–124, Berlin, Heidelberg. Springer-Verlag.

83. Bar-Yam, 2013, The limits of phenomenology: From behaviorism to drug testing and engineering design. New England Complex Systems Institute (NECSI) Report, 2013- 08-01.

84. Turner et al., 2003, A framework for vulnerability analysis in sustainability science. Proceedings of the national academy of sciences, 100(14):8074–8079.

85. Tversky and Kahneman, 1974, Judgment under uncertainty: Heuristics and biases. Science, 185(4157):1124–1131.

86. Open Science Collaboration et al., 2015, Estimating the reproducibility of psychological science. Science, 349(6251).

87. Zeng et al., 2017 The science of science: From the perspective of complex systems. Physics Reports, 714:1–73.