Advertisement

Introduction

  • Michael I. C. Nwogugu
Chapter

Abstract

Unfortunately, during the last thirty years, most research about Financial Stability, systemic risk and aspects of sustainable growth (economic, social, urban and environmental sustainability) has focused on the financial sector and macroeconomic issues (i.e. correlations, systemic risk, monetary policy, volatility, derivatives, etc.), and has neglected the real sector, microeconomics (industrial organization; and analysis and failure of companies, households and individual financial institutions; etc.), online social networks and psychology issues (human biases; group-decisions; organizational psychology; etc.).

References

  1. Acquier, A., Daudigeos, T., & Pinkse, J. (2017). Promises and Paradoxes of the Sharing Economy: An Organizing Framework. Technological Forecasting and Social Change, 125, 1–10.CrossRefGoogle Scholar
  2. Adler, B. (1993). Financial and Political Theories of American Corporate Bankruptcy. Stanford Law Review, 45(2), 311–346.CrossRefGoogle Scholar
  3. Aghion, P., & Holden, R. (2011). Incomplete Contracts and the Theory of the Firm: What Have We Learned over the Past 25 Years? Journal of Economic Perspectives, 25(2), 181–197.Google Scholar
  4. Aguiar-Díaz, I., & Ruiz-Mallorquí, M. (2015). Causes and Resolution of Bankruptcy: The Efficiency of the Law. The Spanish Review of Financial Economics, 13(2), 71–80.CrossRefGoogle Scholar
  5. Aguinis, H., Cascio, W., & Ramani, R. (2017). Science’s Reproducibility and Replicability Crisis: International Business Is Not Immune. Journal of International Business Studies, 48, 653–663.CrossRefGoogle Scholar
  6. Akgün, A., Keskin, H., & Byrne, J. (2014). Complex Adaptive Systems Theory and Firm Product Innovativeness. Journal of Engineering and Technology Management, 31, 21–42.CrossRefGoogle Scholar
  7. Alghalith, M. (2008). Recent Applications of Theory of the Firm Under Uncertainty. European Journal of Operational Research, 186(2), 443–450.CrossRefGoogle Scholar
  8. Al-Musali, M. A. K., & Ismail, K. N. I. K. (2014). Intellectual Capital and Its Effect on Financial Performance of Banks: Evidence from Saudi Arabia. Procedia—Social and Behavioral Sciences, 164, 201–207.Google Scholar
  9. Amankwah-Amoah, J., Boso, N., & Antwi-Agyei, I. (2016). The Effects of Business Failure Experience on Successive Entrepreneurial Engagements: An Evolutionary Phase Model. Group & Organization Management, 43(4), 648–682.Google Scholar
  10. Anderson, P. (1999). Perspective: Complexity Theory and Organization Science. Organization Science, 10(3), 216–232.CrossRefGoogle Scholar
  11. Anderson, R., Fok, R., Springer, T., & Webb, J. (2002). Technical Efficiency and Economies of Scale: A Non-parametric Analysis of REIT Operating Efficiency. European Journal of Operations Research, 139, 598–612.CrossRefGoogle Scholar
  12. Aoyama, H., Fujiwara, Y., et al. (2011). Econophysics and Companies. Cambridge University Press.Google Scholar
  13. Argote, L., & Greve, H. (2007). A Behavioral Theory of the Firm—40 Years and Counting: Introduction and Impact. Organization Science, 18(3), 337–349.CrossRefGoogle Scholar
  14. Argyris, C. (1987). Bridging Economics and Psychology: The Case of the Economic Theory of the Firm. American Psychologist, 42(5), 456–463.CrossRefGoogle Scholar
  15. Auerswald, P. (2008). Entrepreneurship in the Theory of the Firm. Small Business Economics, 30(2), 111–126.CrossRefGoogle Scholar
  16. Augier, M. (2013). Behavioral Theory of the Firm: Hopes for the Past; Lessons from the Future. M@n@gement, 16(5), 636–652.CrossRefGoogle Scholar
  17. Baker, M. (2016). 1500 Scientists Lift the Lid on Reproducibility. Nature, 533(7604), 452–454.CrossRefGoogle Scholar
  18. Balcilar, M., Bonato, M., et al. (2018). Geopolitical Risks and Stock Market Dynamics of the BRICS. Economic Systems, 42(2), 295–306.CrossRefGoogle Scholar
  19. Ballow, J., Thomas R., & Roos G. (Accenture). (2004). Future Value: The $7 Trillion Challenge. Available at http://www.accenture.com/SiteCollectionDocuments/PDF/manage.pdf.
  20. Banks, G., Kepes, S., & McDaniel, M. (2015). Publication Bias: Understand the Myths Concerning Threats to the Advancement of Science. In C. E. Lance & R. J. Vandenberg (Eds.), More Statistical and Methodological Myths and Urban Legends (pp. 36–64). New York, NY: Routledge.Google Scholar
  21. Banks, G., O’Boyle Jr., E., Pollack, J., et al. (2016, in press). Questions About Questionable Research Practices in the Field of Management: A Guest Commentary. Journal of Management.Google Scholar
  22. Barr, J., & Saraceno, F. (2002). A Computational Theory of the Firm. Journal of Economic Behavior & Organization, 49(3), 345–361.CrossRefGoogle Scholar
  23. Barroso, J., Silva, J., et al. (2018). Identifying Systemic Risk Drivers in Financial Networks. Physica A: Statistical Mechanics and its Applications, 503, 650–674.CrossRefGoogle Scholar
  24. BEC Crew. (2015, August 28). Scientists Tried to Replicate 100 Psychology Experiments and 64% Failed. http://www.sciencealert.com/scientists-tried-to-replicate-100-psychology-experiments-and-64-failed.
  25. Bell, T., Landsman, W., Miller, B., & Yeh, S. (2002). The Valuation Implications of Employee Stock Option Accounting for Profitable Computer Software Firms. The Accoutning Review, 77(4), 971–996.CrossRefGoogle Scholar
  26. Bennett, G., Scharoun-Lee, M., & Tucker-Seeley, R. (2009). Will the Public’s Health Fall Victim to the Home Foreclosure Epidemic? PLoS Medicine, 6(6): e1000087.  https://doi.org/10.1371/journal.pmed.1000087.CrossRefGoogle Scholar
  27. Bhattacharjee, A., & Han, J. (2014). Financial Distress of Chinese Firms: Microeconomic, Macroeconomic and Institutional Influences. China Economic Review, 30, 244–262.CrossRefGoogle Scholar
  28. Boddy, C. (2011). The Corporate Psychopaths Theory of the Global Financial Crisis. Journal of Business Ethics, 102, 255–259.CrossRefGoogle Scholar
  29. Boddy, C. R. (2006). The Dark Side of Management Decisions: Organisational Psychopaths. Management Decision, 44(9/10), 1461–1475.CrossRefGoogle Scholar
  30. Bohannon, J. (2015, August 28). Many Psychology Papers Fail Replication Test. Science, 349(6251), 910–911. http://www.sciencemag.org/content/349/6251/910.full.pdf.CrossRefGoogle Scholar
  31. Bond, S., & Cummins, J. G. (2000). The Stock Market and Investment in the New Economy: Some Tangible Facts and Intangible Fictions. Available at http://www.brookings.edu/~/media/Projects/BPEA/Spring%202000/2000a_bpea_bond.PDF.
  32. Bosco, F. A., Aguinis, H., Field, J. G., Pierce, C. A., & Dalton, D. R. (2016, in press). HARKing’s Threat to Organizational Research: Evidence from Primary and Meta-analytic Sources. Personnel Psychology.Google Scholar
  33. Bossaerts, P., Suzuki, S., & O’Doherty, J. (2018, in press). Perception of Intentionality in Investor Attitudes Towards Financial Risks. Journal of Behavioral and Experimental Finance.Google Scholar
  34. Brandtner, M. (2018). Expected Shortfall, Spectral Risk Measures, and the Aggravating Effect of Background Risk, Or: Risk Vulnerability and the Problem of Sub-additivity. Journal of Banking & Finance, 89, 138–149.CrossRefGoogle Scholar
  35. Brocal, F., Sebastián, M., & González, C. (2017). Theoretical Framework for the New and Emerging Occupational Risk Modeling and Its Monitoring Through Technology Lifecycle of Industrial Processes. Safety Science, 99(B), 178–186.Google Scholar
  36. Brounen, D., & Eichholtz, P. (2005). Corporate Real Estate Ownership Implications: International Performance Evidence. Journal of Real Estate Finance & Economics, 30, 429–445.CrossRefGoogle Scholar
  37. Brown, S., & Eisenhardt, K. (1997). The Art of Continuous Change: Linking Complexity Theory and Time-paced Evolution in Relentlessly Shifting Organizations. Administrative Science Quarterly, 42(1), 1–34.Google Scholar
  38. Bruneau, C., de Bandt, O., & El Amri, W. (2012). Macroeconomic Fluctuations and Corporate Financial Fragility. Journal of Financial Stability, 8(4), 219–235.CrossRefGoogle Scholar
  39. Buldyrev, S., Salinger, M., & Stanley, E. (2016). A Statistical Physics Implementation of Coase’s Theory of the Firm. Research in Economics, 70(4), 536–557.CrossRefGoogle Scholar
  40. Cairney, P., & Geyer, R. (2017). A Critical Discussion of Complexity Theory: How Does ‘Complexity Thinking’ Improve Our Understanding of Politics and Policymaking? Complexity, Governance and Networks, 3(2), 1–11.Google Scholar
  41. Cañibano, L., Covarsí, M. G. A., & Sánchez, M. P. (1999). The Value Relevance and Managerial Implications of Intangibles: A Literature Review. In Measuring and Reporting Intellectual Capital: Experiences, Issues and Prospects. Amsterdam: Organisation for Economic Co-operation and Development.Google Scholar
  42. Cao, J., Du, F., & Ding, S. (2013). Global Sensitivity Analysis for Dynamic Systems with Stochastic Input Processes. Reliability Engineering & System Safety, 118, 106–117.CrossRefGoogle Scholar
  43. Castro, P., & Parsons, S. (2014). Modeling Agent’s Preferences Based on Prospect Theory. Multidisciplinary Workshop on Advances in Preference Handling: Papers from the AAAI-14 Workshop.Google Scholar
  44. Chang, A., & Li, P. (2015). Is Economics Research Replicable? Sixty Published Papers from Thirteen Journals Say ‘Usually Not’. Finance and Economics Discussion Series, 2015(83), 1–26.CrossRefGoogle Scholar
  45. Cheong, S., Gerlach, R., et al. (2009). Equity and Fixed Income Markets as Drivers of Securitized Real Estate. Review of Financial Economics, 18(2), 103–111.CrossRefGoogle Scholar
  46. Ciepley, D. A. (2013). Beyond Public and Private: Toward a Political Theory of the Corporation. American Political Science Review, 107(1), 139–158.CrossRefGoogle Scholar
  47. Cohen, B. (1998). Public Perception Versus Results of Scientific Risk Analysis. Reliability Engineering & System Safety, 59(1), 101–105.CrossRefGoogle Scholar
  48. Collins, H. (2016). Reproducibility of Experiments: Experiments’ Regress, Statistical Uncertainty Principle, and the Replication Imperative. Chapter-4 in Atmanspacher & Maasen 2016b: 65–82.  https://doi.org/10.1002/9781118865064.ch4.CrossRefGoogle Scholar
  49. Coloumb, J. (2001). Absorbing Games with a Signalling Structure. Mathematics of Operations Research, 26(2), 286–303.CrossRefGoogle Scholar
  50. Colucci, M., Montaguti, E., & Lago, U. (2008). Managing Brand Extension Via Licensing: An Investigation into the High-End Fashion Industry. International Journal of Research in Marketing, 25(2), 129–137.CrossRefGoogle Scholar
  51. Correia, L., Reis, L., & Cascalho, J., eds. (2014). Progress in Artificial Intelligence. Berlin: Springer.Google Scholar
  52. Cotti, C., & Simon, D. (2018). The Impact of Stock Market Fluctuations on the Mental and Physical Well-Being of Children. Economic Inquiry, 56(2), 1007–1027.Google Scholar
  53. Cottie, C., Dunn, R., & Tefft, N. (2015). The Dow Is Killing Me: Risky Health Behaviors and the Stock Market. Health Economics, 24(7), 803–821.Google Scholar
  54. Craig, C. (2018, in press). Risk Management in a Policy Environment: The Particular Challenges Associated With Extreme Risks. Futures.Google Scholar
  55. Cristea, I., & Ioannidis, J. (2018). P-Values in Display Items Are Ubiquitous and Almost Invariably Significant: A Survey of Top Science Journals. PLoS One, 13(5), e0197440.  https://doi.org/10.1371/journal.pone.0197440.CrossRefGoogle Scholar
  56. Crowe, C., Dell’Ariccia, G., Igan, D., & Rabanal, P. (2013). How to Deal with Real Estate Booms: Lessons from Country Experiences. Journal of Financial Stability, 9(3), 251–450.CrossRefGoogle Scholar
  57. Damodaran, A. (2009, September). Valuing Companies with Intangible Assets (Working Paper) New York City, USA: NYU Stern School of Business. http://pages.stern.nyu.edu/~adamodar/pdfiles/papers/intangibles.pdf.
  58. Damodaran, A., Kose, J., & Liu, C. (1997). The Determinants of Organizational form Changes: Evidence and Implications from Real Estate. Journal of Financial Economics, 45(2), 169–192.CrossRefGoogle Scholar
  59. Date, P., & Gashi, B. (2013). Risk-Sensitive Control for a Class of Nonlinear Systems with Multiplicative Noise. Systems & Control Letters, 62(10), 988–999.CrossRefGoogle Scholar
  60. Davidson, S., DeFilippi, P., & Potts, J. (2016). Blockchain and the Economic Institutions of Capitalism. Journal of Institutional Economics, 14(4), 639–658.CrossRefGoogle Scholar
  61. de Camprieu, R., Desbiens, J., & Feixue, Y. (2007). ‘Cultural’ Differences in Project Risk Perception: An Empirical Comparison of China and Canada. International Journal of Project Management, 25(7), 683–693.CrossRefGoogle Scholar
  62. Dechenaux, E., Thursby, M., & Thursby, J. (2009). Shirking, Sharing Risk and Shelving: The Role of University License Contracts. International Journal of Industrial Organization, 27(1), 80–91.CrossRefGoogle Scholar
  63. Delis, M., & Mylonidis, N. (2015). Trust, Happiness, and Households’ Financial Decisions. Journal of Financial Stability, 20, 82–92.CrossRefGoogle Scholar
  64. DeLong, J. (2002). The Stock Options Controversy and the New Economy. Washington DC, USA: Competitive Enterprise Institute.Google Scholar
  65. Dominici, G. (2017). Governing Business Systems: Theories and Challenges for Systems Thinking in Practice. Systems Research & Behavioral Science, 34, 310–312.CrossRefGoogle Scholar
  66. Domshlak, C., Hullermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AI: An overview. Artificial Intelligence, 17(7–8), 1037–1052.CrossRefGoogle Scholar
  67. D’Orsogna, M., & Perc, M. (2015). Statistical Physics of Crime: A Review. Physics of Life Reviews, 12, 1–21.CrossRefGoogle Scholar
  68. Drummond, C. (2009). Replicability Is Not Reproducibility: Nor Is it Good Science. In Proceedings of the Evaluation Methods for Machine Learning Workshop at the 26th ICML, Montreal, Canada.Google Scholar
  69. Duca, J., Muellbauer, J., & Mur, A. (2010). Housing Markets and the Financial Crisis of 2007–2009: Lessons for the Future. Journal of Financial Stability, 6(4), 187–254.CrossRefGoogle Scholar
  70. Earnest, D., & Wilkinson, I. (2018). An Agent Based Model of the Evolution of Supplier Networks. Computational and Mathematical Organization Theory, 24(1), 112–144.Google Scholar
  71. Eliasson, G. (1994). The Theory of the Firm and the Theory of Economic Growth. In Chapter in L. Magnusson (Ed.), Evolutionary and Neo-Schumpeterian Approaches to Economics (Volume 36 of the Series Recent Economic Thought (pp. 173–201)). Berlin: Springer.Google Scholar
  72. Ernst & Young. (2010, July). IRS Concedes Stock Option Issue in Veritas Following Ninth Circuit’s Opinion in Xilinx. Available at http://www.ey.com/Publication/vwLUAssets/ITA_26July2010/$FILE/ITA_IRS_concedes_stock_option.pdf.
  73. Esteban, J., & Sakovics, J. (2008). A Theory of Agreements in the Shadow of Conflict: The Genesis of Bargaining Power. Theory and Decision, 65(3), 227–252.CrossRefGoogle Scholar
  74. Estola, M. (2001). A Dynamic Theory of a Firm: An Application of Economic Forces. Advances in Complex Systems, 4(1), 163–176.CrossRefGoogle Scholar
  75. Feest, U. (2016). The Experimenters’ Regress Reconsidered: Replication, Tacit Knowledge, and the Dynamics of Knowledge Generation. Studies in History and Philosophy of Science Part A, 58, 34–45.CrossRefGoogle Scholar
  76. Fong, T., Li, K., & Fu, J. (2018). Accounting for Sovereign Tail Risk in Emerging Economies: The Role of Global and Domestic Risk Factors. Emerging Markets Review, 34, 98–110.CrossRefGoogle Scholar
  77. Foss, K., Foss, N., & Klein, P. (2006). Original and Derived Judgment: An Entrepreneurial Theory of Economic Organization. Organization Studies, 28(12), 1893–1912.Google Scholar
  78. Frazier, M. L., & Tupper, C. (2016). Supervisor Prosocial Motivation, Employee Thriving, and Helping Behavior: A Trickle-Down Model of Psychological Safety. Group & Organization Management, 43(4), 561–593.Google Scholar
  79. Fu, D., et al. (2005). The Growth of Business Firms: Theoretical Framework and Empirical Evidence. Proceedings of the National Academy of Sciences, 102(52), 18801–18806.CrossRefGoogle Scholar
  80. Gao, S., Dong, H., et al. (2018, in press). Error-Driven Nonlinear Feedback-Based Fuzzy Adaptive Output Dynamic Surface Control for Nonlinear Systems with Partially Constrained Tracking Errors. Journal of the Franklin Institute.Google Scholar
  81. Garcia-Cabrejo, O., & Valocchi, A. (2014). Global Sensitivity Analysis for Multivariate Output Using Polynomial Chaos Expansion. Reliability Engineering & System Safety, 126, 25–36.CrossRefGoogle Scholar
  82. Gete, P., & Juan-Pedro Gómez, J. (2015). Compensation Contracts and Fire Sales. Journal of Financial Stability, 18, 154–171.CrossRefGoogle Scholar
  83. Ghiradato, P., & Marinacci, M. (2001). Risk Ambiguity and the Separation of Utility and Beliefs. Mathematics of Operations Research, 26(4), 864–890.CrossRefGoogle Scholar
  84. Ghoshal, S., Moran, P., & Almeida-Costa, L. (1995). The Essence of the Mega-corporation: Shared Context, Not Structural Hierarchy. Journal of Institutional and Theoretical Economics, 151, 748–59.Google Scholar
  85. Giannikis, D., & Vrontos, I. (2011). A Bayesian Approach to Detecting Nonlinear Risk Exposures in Hedge Fund Strategies. Journal of Banking & Finance, 35(6), 1399–1414.CrossRefGoogle Scholar
  86. Gifford, A. (1991). A Constitutional Interpretation of the Firm. Public Choice, 68(1–3), 91–106.Google Scholar
  87. Goldstone, R., de Leeuw, J., & Landy, D. (2015). Fitting Perception in and to Cognition. Cognition, 135, 24–29.CrossRefGoogle Scholar
  88. Gong, M., Baron, J., & Kunreuther, H. (2009). Group Cooperation Under Uncertainty. Journal of Risk & Uncertainty, 39(3), 251–270.CrossRefGoogle Scholar
  89. Goswami, G., Tan, S., & Waisman, M. (2014). Understanding the Cross-Section of the U.S. Housing Bubble: The Roles of Lending, Transaction Costs, and Rent Growth. Journal of Financial Stability, 15, 76–90.CrossRefGoogle Scholar
  90. Greenspan, A. (2013). The Crisis. Brookings Papers in Economic Activity, 2010, 33.Google Scholar
  91. Grishina, N., Lucas, C., & Date, P. (2017). Prospect Theory—Based Portfolio Optimization: An Empirical Study and Analysis Using Intelligent Algorithms. Quantitative Finance, 17(3), 353–367.CrossRefGoogle Scholar
  92. Guojonsdottir, G., Kristjansson, M., & Olafsson, O. (2011). Immediate Surge in Female Visits to the Cardiac Emergency Department Following the Economic Collapse in Iceland: An Observational Study. Emergency Medicine Journal, 29(9), 694–698.Google Scholar
  93. Hand, J. (2003). Increasing Returns-to-Scale of Intangibles. In J. R. M. Hand & B. Lev (Eds.), Intangible Assets: Values, Measures and Risks. Oxford: Oxford Management Readers.Google Scholar
  94. Hassett, K., & Shapiro, R. (2012). What Ideas Are Worth: The Value of Intellectual Capital And Intangible Assets in the American Economy. http://www.sonecon.com/docs/studies/Value_of_Intellectual_Capital_in_American_Economy.pdf.
  95. Henderson, J., Leleux, B., & White, I. (2006). Service-for-Equity Arrangements: Untangling Motives and Conflicts. Journal of Business Venturing, 21(6), 886–909.CrossRefGoogle Scholar
  96. Hölzl, W. (2005). The Evolutionary Theory of the Firm. Routines, Complexity and Change. Working Papers Series “Growth and Employment in Europe: Sustainability and Competitiveness”, 46. Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business, Vienna, Austria.Google Scholar
  97. Hosek, W. (1975). Macroeconomic Theory. Homewood: Richard D. Irwin Inc.Google Scholar
  98. Hsiao, C., Chang, P., & Ho, S. (2010). Applying Evolutionary Perspective to Analyse the TFT-LCD Industry Development in Taiwan. Systems Research & Behavioral Science, 28(3), 283–300.Google Scholar
  99. Hughes, J., & Mester, L. (2011, July). Who Said Large Banks Don’t Experience Scale Economies? Evidence from a Risk-Return-Driven Cost Function (Working Paper 11–27). Philadelphia, USA: Federal Reserve Bank of Philadelphia.Google Scholar
  100. Hulten, C. (2008). Intangible Capital and the “Market to Book Value” Puzzle. https://www.conference-board.org/pdf_free/workingpapers/E-0029-08-WP.pdf. The Conference Board—Economics Program Working Paper Series. Available at http://raw.rutgers.edu/docs/intangibles/Papers/Intangible%20Capital%20and%20the%20Market%20to%20Book%20ValuePuzzle.pdf.
  101. Ioannidis, J. P. A. (2005). Why Most Published Research Findings Are False. PLoS Medicine, 2(8), e124.  https://doi.org/10.1371/journal.pmed.0020124, http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124.CrossRefGoogle Scholar
  102. István, B. (2016). Empirical Research and Practice-Oriented Physics for the Humanities and Sciences. Comparative Literature & Culture, 18(2), 2.Google Scholar
  103. Jakimowicz, A. (2016). Econophysics as a New School of Economic Thought: Twenty Years of Research. Acta Physica Polonica, 129(5), 897–907.CrossRefGoogle Scholar
  104. James, H. (2003). Employment Contracts, US Common Law and the Theory of the Firm. International Journal of the Economics of the Firm, 10(1), 49–65.Google Scholar
  105. Jensen, A., & Terje Aven, T. (2018). A New Definition of Complexity in a Risk Analysis Setting. Reliability Engineering & System Safety, 171, 169–173.CrossRefGoogle Scholar
  106. John, L. K., Loewenstein, G., & Prelec, D. (2012). Measuring the Prevalence of Questionable Research Practices with Incentives for Truth Telling. Psychological Science, 23, 524–532.CrossRefGoogle Scholar
  107. Johnson, V. (2013). Revised Standards for Statistical Evidence. Proceedings of the National Academy of Sciences, 110, 19313–19317.CrossRefGoogle Scholar
  108. Jovanovic, F., & Schinckus, C. (2017). Econophysics and Financial Economics: An Emerging Dialogue. Oxford University Press.Google Scholar
  109. Joia, L. A. (2000). Measuring Intangible Corporate Assets: Linking Business Strategy with Intellectual Capital. Journal of Intellectual Capital, 1(1), 68–84.CrossRefGoogle Scholar
  110. Kaisla, J. (2001). Extending the Constitutional Theory of the Firm by Introducing Conventions (Working Paper).Google Scholar
  111. Karadam, D. (2018). An Investigation of Nonlinear Effects of Debt on Growth. The Journal of Economic Asymmetries, 18, Article e00097.Google Scholar
  112. Katyou, A. (2013). The Link Between HR Practices, Psychological Contract Fulfilment, and Organisational Performance in Greece: An Economic Crisis Perspective. Journal of Industrial Engineering and Management, 6(2), 568–594.Google Scholar
  113. Kekik, Y., Hachicha, W., & Boujelbene, Y. (2014). Agent-Based Modeling and Investors’ Behavior Explanation of Asset Price Dynamics on Artificial Financial Markets. Procedia Economics & Finance, 13, 30–46.CrossRefGoogle Scholar
  114. Kelly, K. (2010). The Effects of Incentives on Information Exchange and Decision Quality in Groups. Behavioral Research In Accounting, 22(1), 43–48.CrossRefGoogle Scholar
  115. Kerr, N. L. (1998). HARKing: Hypothesizing After the Results Are Known. Personality and Social Psychology Review, 2, 196–217.CrossRefGoogle Scholar
  116. Kitchovitch, S., & Liò, P. (2010). Risk Perception and Disease Spread on Social Networks. Procedia Computer Science, 1(1), 2345–2354.CrossRefGoogle Scholar
  117. Kobberling, V., & Wakker, P. (2003). Preference Foundations for Non-Expected Utility: A Generalized and Simplified Technique. Mathematics of Operations Research, 28(3), 395–423.CrossRefGoogle Scholar
  118. Kok, V., Lim, M., & Chan, C. (2016). Crowd Behavior Analysis: A Review Where Physics Meets Biology. Neurocomputing, 177, 342–362.CrossRefGoogle Scholar
  119. Konakli, K., & Sudret, B. (2016). Global Sensitivity Analysis Using Low-Rank Tensor Approximations. Reliability Engineering & System Safety, 156, 64–83.CrossRefGoogle Scholar
  120. Kopp, M., Stauder, A., et al. (2008). Work Stress and Mental Health in a Changing Society. European Journal of Public Health, 18(3), 238–244.CrossRefGoogle Scholar
  121. Korniotis, V., & Kumar, A. (1993). Do Behavioral Biases Adversely Affect The Economy? Review of Financial Studies, 24(5), 1513–1559.CrossRefGoogle Scholar
  122. Kreiger, J., & Higgins, D. (2002). Housing and Health: Time Again for Public Health Action. American Journal of Public Health, 92(5), 758–768.CrossRefGoogle Scholar
  123. Kuang, Y. (2008). Performance-Vested Stock Options and Earnings Management. Journal of Business Finance & Accounting, 35(9–10), 1049–1078.CrossRefGoogle Scholar
  124. Kucherenko, S., Delpuech, B., et al. (2015). Application of the Control Variate Technique to Estimation of Total Sensitivity Indices. Reliability Engineering & System Safety, 134, 251–259.CrossRefGoogle Scholar
  125. Kuttner, K., & Shim, I. (2016, in press). Can Non-interest Rate Policies Stabilize Housing Markets? Evidence from a Panel of Fifty-Seven Economies. Journal of Financial Stability, 31–44.Google Scholar
  126. Kwasnicki, W. (2001). Firm Decision Making Processes in an Evolutionary Model of Industrial Dynamics. Advances In Complex Systems, 4(1), 101–125.CrossRefGoogle Scholar
  127. Kyrtsou, C., & Sornette, D., eds. (2012). New Facets of Economic Complexity in Modern Financial Markets. European Journal of Finance.Google Scholar
  128. Laitinen, E. (2001). Management Accounting Change in Small Technology Companies: Towards a Mathematical Model of the Technology Firm. Management Accounting Research, 12(4), 507–541.CrossRefGoogle Scholar
  129. Langlois, R. (2007). The Entrepreneurial Theory of the Firm and the Theory of the Entrepreneurial Firm. Journal of Management Studies, 44(6), 1107–1124.CrossRefGoogle Scholar
  130. Langlois, R., & Robertson, R. (2002 [1993]). Business Organization as a Coordination Problem: Toward a Dynamic Theory of the Boundaries of the Firm. Business and Economic History, 22(1), 31–41. Reprinted in Langlois, R., Yu, T., & Robertson, P., eds., Alternative Theories of the Firm. Cheltenham: Edward Elgar, 2002, Volume III.Google Scholar
  131. Langlois, R. (1995). Do Firms Plan? Constitutional Political Economy, 6, 247–61.CrossRefGoogle Scholar
  132. Langlois, R. (2006). Competition Through Institutional Form: The Case of Cluster Tool Standards. In S. Greenstein & V. Stango (Eds.), Standards and Public Policy (pp. 60–86). New York: Cambridge University Press.Google Scholar
  133. Lawrence, D. S. (2002). An Examination of Agency Costs: The Case of REITs. PHD Thesis, Department Of Urban & Regional Science; Texas A&M University, Texas, USA. Available at http://txspace.tamu.edu/bitstream/handle/1969/127/etd-07082002-153205-1.pdf?sequence=1.
  134. Lee, Y., et al. (1998). Universal Features in the Growth Dynamics of Complex Organizations. Physics Review Letters, 80(15), 3275–3278.CrossRefGoogle Scholar
  135. Lewin, P. (1998). The Firm, Money and Economic Calculation: Considering the Institutional Nexus of Market Production. American Journal of Economics and Sociology, 57(4), 499–512.CrossRefGoogle Scholar
  136. Lewis, D., Springer, T., & Anderson, R. (2003). The Cost Efficiency of Real Estate Investment Trusts: An Analysis with a Bayesian Stochastic Frontier Model. Journal of Real Estate Finance and Economics, 26(1), 65–80.CrossRefGoogle Scholar
  137. Lhaopadchan, S. (2010). Fair Value Accounting and Intangible Assets: Goodwill Impairment and Managerial Choice. Journal of Financial Regulation & Compliance, 18(2), 120–130.CrossRefGoogle Scholar
  138. Li, G., & Rabitz, H. (2017). Relationship Between Sensitivity Indices Defined by Variance- and Covariance-Based Methods. Reliability Engineering & System Safety, 167, 136–157.CrossRefGoogle Scholar
  139. Li, S. (1997). Transaction-Efficiency Analysis of Franchising Arrangements Through Change Cross-Constrained Game Theory. Computers & Operations Research, 24(10), 919–935.CrossRefGoogle Scholar
  140. Li, S., & Chen, S. (2012). Complexity and Non-Linearities in Financial Markets: Perspective from Econophysics. International Review of Financial Analysis, 23.Google Scholar
  141. Lin, C., Chen, C., & Liu, T. (2014). Do Stock Prices Drive People Crazy? Health Policy and Planning, 30(2), 206–214.Google Scholar
  142. Lin, H., Zhang, Y., et al. (2013). Large Daily Stock Variation Is Associated With Cardiovascular Mortality in Two Cities of Guangdong, China. PloS One, 8(7), e68417.CrossRefGoogle Scholar
  143. Lin, S., Wang, C., Liu, T., & Chen, C. (2015). Stroke: A Hidden Danger of Margin Trading in Stock Markets. Journal of Urban Health, 92(5), 995–1006.Google Scholar
  144. Ling, D., Naranjo, A., & Ryngert, M. (2010). Real Estate Ownership, Leasing Intensity, and Value: Do Stock Returns Reflect a Firm’s Real Estate Holdings? The Journal of Real Estate Finance and Economics, 44, 184–202.CrossRefGoogle Scholar
  145. Liow, K., & Nappi-Choulet, I. (2008). A Combined Perspective of Corporate Real Estate. Journal of Corporate Real Estate, 10(1), 54–67.CrossRefGoogle Scholar
  146. Liow, K. H. (1995). Property in Corporate Financial Statements: The U.K. Evidence. Journal of Property Research, 12, 13–28.CrossRefGoogle Scholar
  147. Liu, C. (2015, November). How Does the Stock Market Affect Investor Sentiment?—Evidence from Anti-depressant Usage. Available at SSRN https://ssrn.com/abstract=2691824 or http://dx.doi.org/10.2139/ssrn.2691824.
  148. Llorca, N., Sánchez-Soriano, J., Tijs, S., & Timmer, J. (2004). The Core and Related Solution Concepts for Infinite Assignment Games. TOP, 12(2), 331–350.CrossRefGoogle Scholar
  149. Loken, E., & Gelman, A. (2017). Measurement Error and the Replication Crisis. Science, 355(6325), 584–585.CrossRefGoogle Scholar
  150. Lopera, M., & Marchand, S. (2018). Peer Effects and Risk-Taking Among Entrepreneurs: Lab-in-the-Field Evidence. Journal of Economic Behavior & Organization, 150, 182–201.CrossRefGoogle Scholar
  151. Love, J. (2010). Opportunism, Hold-Up and the (Contractual) Theory of the Firm. Journal of Institutional and Theoretical Economics, 166(3), 479–501.CrossRefGoogle Scholar
  152. Ma, W., Chen, H., Jiang, L., et al. (2011). Stock Volatility as a Risk Factor for Coronary Heart Disease Death. European Heart Journal, 32(8), 1006–1011.CrossRefGoogle Scholar
  153. Macho-Stadler, I., & Pérez-Castrillo, D. (2010). Incentives in University Technology Transfers. International Journal of Industrial Organization, 28(4), 362–367.CrossRefGoogle Scholar
  154. Mahar, S., & Wright, D. (2009). The Value of Postponing Online Fulfillment Decisions in Multi-channel Retail/e-Tail Organizations. Computers & Operations Research, 36, 3061–3072.CrossRefGoogle Scholar
  155. Mama, H. (2018). Innovative Efficiency and Stock Returns: Should We Care About Nonlinearity? Finance Research Letters, 24, 81–89.CrossRefGoogle Scholar
  156. Mantegna, R., & Stanley, E. (2000). An Introduction to Econophysics: Correlations and Complexity in Finance. Cambridge: Cambridge University Press.Google Scholar
  157. Mara, T., & Tarantola, S. (2012). Variance-Based Sensitivity Indices for Models with Dependent Inputs. Reliability Engineering & System Safety, 107, 115–121.CrossRefGoogle Scholar
  158. Martín, M., & Saracho, A. (2010). Royalty Licensing. Economics Letters, 107(2), 284–287.CrossRefGoogle Scholar
  159. Marwala, T. (2013). Economic Modeling Using Artificial Intelligence Methods. Berlin: Springer.Google Scholar
  160. Masicampo, E. J., & Lalande, D. R. (2012). A Peculiar Prevalence of p Values Just Below. 05. The Quarterly Journal of Experimental Psychology and Aging, 65, 2271–2279.CrossRefGoogle Scholar
  161. McShane, B., Gal, D., et al. (2018). Abandon Statistical Significance. arXiv.org.Google Scholar
  162. Mendes, A., & Themido, I. H. (2004). Multi-outlet Retail Site Location Assessment. International Transactions in Operations Research, 11, 1–18.CrossRefGoogle Scholar
  163. Menninger, D. (1985). Political Science and the Corporation. PS, 18(2), 206–212.CrossRefGoogle Scholar
  164. Metjahic, L. (2018). Deconstructing the Dao: The Need for Legal Recognition and the Application of Securities Laws to Decentralized Organizations. Cardozo Law Review, 39, 1533–1550.Google Scholar
  165. Milman, E. (2002). The Semi-Algebraic Theory of Stochastic Games. Mathematics of Operations Research, 27(2), 401–418.CrossRefGoogle Scholar
  166. Minhat, M., & Mazni Abdullah, M. (2016). Bankers’ Stock Options, Risk-Taking and the Financial Crisis. Journal of Financial Stability, 22, 121–128.Google Scholar
  167. Mnasri, M., Dionne, G., & Gueyie, J. (2017). The Use of Nonlinear Hedging Strategies by US Oil Producers: Motivations and Implications. Energy Economics, 63, 348–364.CrossRefGoogle Scholar
  168. Mollona, E., & Marcozzi, A. (2008). FirmNet: The Scope of Firms and the Allocation of Task in a Knowledge-Based Economy. Computational and Mathematical Organization Theory, 15(2), 109.Google Scholar
  169. Moloughney, B. (2004). Housing and Population Health: The State of Current Research Knowledge. Prepared for the Canadian Population Health Initiative, part of the Canadian Institute for Health Information, Canada Mortgage and Housing Corporation. https://secure.cihi.ca/free_products/HousingPopHealth_e.pdf.
  170. Mondani, H., Holme, P., & Liljeros, F. (2014). Fat-Tailed Fluctuations in the Size of Organizations: The Role of Social Influence. PLoS One, 9(7), e100527.  https://doi.org/10.1371/journal.pone.0100527.CrossRefGoogle Scholar
  171. Montoro-Sánchez, A., Ortiz-de-Urbina-Criado, A., & Romero-Martínez, A. (2009). The Decision to Use Alliances as Corporate Entrepreneurship: The Role of Resources and Skills. Group Decision and Negotiation, 18(5), 431–448.CrossRefGoogle Scholar
  172. Mukherjee, A. (2010). Licensing a New Product: Fee vs. Royalty Licensing with Unionized Labor Market. Labour Economics, 17(4), 735–742.CrossRefGoogle Scholar
  173. Muro, S. (2008). Bankruptcy Control and the Theory of the Firm. In Latin American and Caribbean Law and Economics Association (ALACDE) Annual Papers.Google Scholar
  174. Nadendla, S., Brahma, S., & Varshney, P. (2016, October). Towards the Design of Prospect-Theory Based Human Decision Rules for Hypothesis Testing. https://arxiv.org/abs/1610.01085.
  175. Nakagawa, R., Oiwa, H., & Takeda, F. (2012). The Economic Impact of Herd Behavior in the Japanese Loan Market. Pacific-Basin Finance Journal, 20(4), 600–613.CrossRefGoogle Scholar
  176. Nakamura, L. (1999, July/August). Intangibles: What Put the New in the New Economy? Federal Reserve Bank of Philadelphia Business Review, 3–16.Google Scholar
  177. Nakamura, L. (2010). Intangible Assets and National Income Accounting. Review of Income and Wealth, 56(1), S135–S155. Also available at http://www.philadelphiafed.org/research-and-data/publications/working-papers/2008/wp08-23.pdf.CrossRefGoogle Scholar
  178. Nandi, A., et al. (2012). Economic Conditions and Suicide Rates in New York City. American Journal of Epidemiology, 175(6), 527–535.CrossRefGoogle Scholar
  179. Nelson, K., Umarov, S., & Kon, M. (2017). On the Average Uncertainty for Systems with Nonlinear Coupling. Physica A: Statistical Mechanics and Its Applications, 468, 30–43.CrossRefGoogle Scholar
  180. Nettleton, S. (1998). Losing Homes Through Mortgage Possession: A ‘New’ Public Health Issue. Critical Public Health, 8(1), 47–58.CrossRefGoogle Scholar
  181. Niamir, L., Filatova, T., et al. (2018). Transition to Low-Carbon Economy: Assessing Cumulative Impacts of Individual Behavioral Changes. Energy Policy, 118, 325–345.CrossRefGoogle Scholar
  182. Nofsinger, J. (2012). Household Behavior and Boom/Bust Cycles. Journal of Financial Stability, 8(3), 161–173.CrossRefGoogle Scholar
  183. Nunez, M., & Rafels, C. (2008). A Cooperative Bargaining Approach to the Assignment Market. Group Decision and Negotiation, 17(6), 553–563.CrossRefGoogle Scholar
  184. Nwogugu, M. (2005). Corporate Governance, Credit Risk and Legal Reasoning: The Case of Encompass Services, Inc. International Journal of Law & Management, 47(1/2), 2–43. Reprinted in ICFAI Journal Of Financial Economics.Google Scholar
  185. Nwogugu, M. (2006). A Further Critique of Cumulative Prospect Theory and Related Approaches. Applied Mathematics and Computation, 179, 451–465.CrossRefGoogle Scholar
  186. Nwogugu, M. (2007). Some Game Theory and Financial Contracting Issues in Large Corporate Transactions. Applied Mathematics and Computation, 186(2), 1018–1030.CrossRefGoogle Scholar
  187. Nwogugu, M. (2008a). Some Corporate Governance Problems Pertaining to REITs—Part One. Journal of International Banking Law & Regulation, 23(2), 71–89.Google Scholar
  188. Nwogugu, M. (2008b). Some Corporate Governance Problems Pertaining to REITs—Part Two. Journal of International Banking Law & Regulation, 23(3), 142–162.Google Scholar
  189. Nwogugu, M. (2008c). Prospective Home-Buyers’ Propensity-to-Buy in the Housing Industry. Chaos & Complexity Letters, 3(2), 169–190.Google Scholar
  190. Nwogugu, M. (2008d). On the Choice Between Renting and Buying in the US Housing Industry. Chaos & Complexity Letters, 3(2), 191–208.Google Scholar
  191. Nwogugu, M. (2009). On the Choice Between A Strategic Alliance and an M&A Transaction. International Journal of Mathematics, Game Theory & Algebra, 17(5/6), 269–278.Google Scholar
  192. Nwogugu, M. (2012). Risk in the Global Real Estate Markets. Hoboken: Wiley.Google Scholar
  193. Nwogugu, M. (2013). Decision-Making, Sub-Additive Recursive “Matching” Noise and Biases in Risk-Weighted Index Calculation Methods in In-Complete Markets with Partially Observable Multi-Attribute Preferences. Discrete Mathematics, Algorithms & Applications, 05, 1350020.Google Scholar
  194. Nwogugu, M. (2015a). Goodwill/Intangibles Rules and Earnings Management. European Journal of Law Reform, 17(1), 117.Google Scholar
  195. Nwogugu, M. (2015b). Real Options, Enforcement of and Goodwill/Intangibles Rules and Associated Behavioral Issues. Journal of Money Laundering Control, 18(3), 330–351.Google Scholar
  196. Nwogugu, M. (2016). Indices, Index Funds and ETFs: Exploring HCI, Nonlinear Risk and Homomorphisms (book manuscript; forthcoming 2018). Basingstoke: Palgrave Macmillan.Google Scholar
  197. Nwogugu, M. (2019). Indices, Index Funds and ETFs: Exploring HCI, Nonlinear Risk and Homomorphisms. Palgrave Macmillan.Google Scholar
  198. Nys, E., Tarazi, A., & Trinugroho, I. (2015). Political Connections, Bank Deposits, and Formal Deposit Insurance. Journal of Financial Stability, 19, 83–104.CrossRefGoogle Scholar
  199. O’Boyle, E. H., Banks, G. C., & Gonzalez-Mule, E. (2016, in press). The Chrysalis Effect: How Ugly Initial Results Metamorphosize into Beautiful Articles. Journal of Management, 43(2), 376–399.Google Scholar
  200. O’Kelley, C., (2012). Coase, Knight, and the Nexus-of-Contracts Theory of the Firm: A Reflection on Reification, Reality, and the Corporation as Entrepreneur Surrogate. Seattle University Law Review, 35(4), 1247.Google Scholar
  201. Ongkowijoyo, C., & Doloi, H. (2018). Understanding of Impact and Propagation of Risk Based on Social Network Analysis. Procedia Engineering, 212, 1123–1130.CrossRefGoogle Scholar
  202. Open Science Collaboration. (2015, August 28). Estimating the Reproducibility of Psychological Science. Science, 349(6251), 943–945. http://www.sciencemag.org/content/349/6251/aac4716.full.pdf.
  203. O’Sullivan, K. (2009). Strategic Intellectual Capital Management in Multinational Organizations: Sustainability and Successful Implications. Hershey: IGI Global.Google Scholar
  204. Palar, P., Zuhal, L., et al. (2018). Global Sensitivity Analysis via Multi-fidelity Polynomial Chaos Expansion. Reliability Engineering & System Safety, 170, 175–190.CrossRefGoogle Scholar
  205. Paredes-Frigolett, H., Nachar-Calderón, P., & Marcuello, C. (2017). Modeling the Governance of Cooperative Firms. Computational and Mathematical Organization Theory, 23(1), 122–166.CrossRefGoogle Scholar
  206. Pasman, H. (2015). Chapter 12: Risk, Risk Perception, Risk Communication, Risk Acceptance: Risk Governance. In Risk Analysis and Control for Industrial Processes—Gas, Oil and Chemicals (pp. 431–454).CrossRefGoogle Scholar
  207. Paulus, M., & Kristoufek, L. (2015). Worldwide Clustering of the Corruption Perception. Physica A: Statistical Mechanics and its Applications, 428, 351–358.CrossRefGoogle Scholar
  208. Peng, E., Yan, A., & Yan, M. (2016). Accounting Accruals, Heterogeneous Investor Beliefs, and Stock Returns. Journal of Financial Stability, 24, 88–103.CrossRefGoogle Scholar
  209. Pennings, J., & Wansink, B. (2004). Channel Contract Behavior: The Role of Risk Attitudes, Risk Perceptions, and Channel Members’ Market Structures. The Journal of Business, 77(4), 697–724.CrossRefGoogle Scholar
  210. Perc, M., Jordan, J., et al. (2017). Statistical Physics of Human Cooperation. Physics Reports, 687, 1–51.CrossRefGoogle Scholar
  211. Pidgeon, N. (1998). Risk Assessment, Risk Values and the Social Science Programme: Why We Do Need Risk Perception Research. Reliability Engineering & System Safety, 59(1), 5–15.CrossRefGoogle Scholar
  212. Powell, J., Mustafee, N., et al. (2016). System-Focused Risk Identification and Assessment for Disaster Preparedness: Dynamic Threat Analysis. European Journal of Operational Research, 254(2), 550–564.CrossRefGoogle Scholar
  213. Quint, T., & Wako, J. (2004). On House-Swapping, The Strict Core, Segmentation and Linear Programming. Mathematics of Operations Research, 29(4), 861–877.CrossRefGoogle Scholar
  214. Ratcliffe, A., & Taylor, K. (2015). Who Cares About Stock Market Booms and Busts? Evidence from Data on Mental Health. Oxford Economic Papers, 67(3), 826–845.Google Scholar
  215. Raviv, A., & Sisli-Ciamarra, E. (2013). Executive Compensation, Risk Taking and the State of the Economy. Journal of Financial Stability, 9(1), 55–68.CrossRefGoogle Scholar
  216. Reijers, W., O’Brolchain, F., & Haynes, P. (2016). Governance in Blockchain Technologies and Social Contract Theories. Ledger, 1(1), 134–51.CrossRefGoogle Scholar
  217. Replicability Research Group. (2015). Replicability vs. Reproducibility. Tel Aviv University, Department of Statistics and Operations Research. http://www.replicability.tau.ac.il/index.php/replicability-in-science/replicability-vs-reproducibility.html.
  218. Riccaboni, M., et al. (2008). The Size Variance Relationship of Business Firm Growth Rates. Proceedings of the National Academy of Sciences, 105(50), 19595–19600.CrossRefGoogle Scholar
  219. Rosenbaum, S., Billinger, S., et al. (2012). Market Economies and Pro-social Behavior: Experimental Evidence from Central Asia. The Journal of Socio-Economics, 41(1), 64–71.CrossRefGoogle Scholar
  220. Rundmo, T. (1996). Associations Between Risk Perception and Safety. Safety Science, 24(3), 197–209.CrossRefGoogle Scholar
  221. Saichev, A., Malevergne, Y., & Sornette, D. (2010). Theory of Zipf’s Law and Beyond. Series: Lecture Notes in Economics and Mathematical Systems, 632, XII, 171, 44. illus., Softcover – ISBN: 978-3-642-02945-5.Google Scholar
  222. Salinas, G. (2009). The International Brand Valuation Manual (1st ed.). Hoboken, UK: Wiley.Google Scholar
  223. Samuel, Y., & Jacobsen, C. (1997). A System Dynamics Model of Planned Organizational Change. Computational & Mathematical Organization Theory, 3(3), 151–171.CrossRefGoogle Scholar
  224. Schmidt, F. L., & Hunter, J. E. (2015). Methods of Meta-analysis: Correcting Error and Bias in Research Findings (3rd ed.). Newbury Park, CA: Sage.Google Scholar
  225. Schnellenbach, J., & Schubert, C. (2015). Behavioral Political Economy: A Survey. European Journal of Political Economy, 40B, 395–417.CrossRefGoogle Scholar
  226. Sen, D. (2005). Fee Versus Royalty Reconsidered. Games and Economic Behavior, 53(1), 141–147.CrossRefGoogle Scholar
  227. Shefrin, H. (2009). Ending the Management Illussion: Preventing Another Financial Crisis. Ivey Business Journal, 73, 1–7. http://iveybusinessjournal.com/topics/innovation/ending-the-management-illusion-preventing-another-financial-crisis#.VDMq4_ldVOE.
  228. Shen, J., Dumont, J., & Deng, X. (2016). Employees’ Perceptions of Green HRM and Non-Green Employee Work Outcomes: The Social Identity and Stakeholder Perspectives. Group & Organization Management, 43(4), 594–622.Google Scholar
  229. Shi, X., & Yan, Z. (2018). Urbanization and Risk Preference in China: A Decomposition of Self-Selection and Assimilation Effects. China Economic Review, 49, 210–228.CrossRefGoogle Scholar
  230. Sirmans, G., Sirmans, C., & Turnbull, R. (1999). Prices, Incentives and Choice of Management Form. Regional Science and Urban Economics, 29(2), 173–195.CrossRefGoogle Scholar
  231. Sjoberg, L. (2001). Political Decisions and Public Risk Perception. Reliability Engineering & System Safety, 72(2), 115–123.CrossRefGoogle Scholar
  232. Smith, S., & Wall, L. (2010). Debt, Hedging and Human Capital. Journal of Financial Stability, 6(2), 55–63.CrossRefGoogle Scholar
  233. Song, I., & Bae, J. (2016). Politics, Strong Institution and Competitive Advantage: An Examination of Organizational Aspiration for Competition. Computational & Mathematical Organization Theory, 22(4), 412–443.CrossRefGoogle Scholar
  234. Song, Y., Yao, H. et al. (2017). Risky Multicriteria Group Decision Making Based on Cloud Prospect Theory and Regret Feedback. Mathematical Problems in Engineering. Article ID 9646303.  https://doi.org/10.1155/2017/9646303.Google Scholar
  235. Sornette, D. (2003). Why Stock Markets Crash? Critical Events in Complex Financial Systems. New York: Springer.Google Scholar
  236. Spoor, J., & Chu, M. (2017). The Role of Social Identity and Communities of Practice in Mergers and Acquisitions. Group & Organization Management, 43(4), 623–647.Google Scholar
  237. Stanford Encyclopedia of Philosophy. (2018, December 3). Reproducibility of Scientific Results. https://plato.stanford.edu/entries/scientific-reproducibility/.
  238. Sterling, T. (1959). Publication Decisions and Their Possible Effects on Inferences Drawn from Tests of Significance—Or Vice Versa. Journal of the American Statistical Association, 54(285), 30–34.Google Scholar
  239. Stracca, L. (2014). Financial Imbalances and Household Welfare: Empirical Evidence from the EU. Journal of Financial Stability, 11, 82–91.CrossRefGoogle Scholar
  240. Sudhoter, P., & Peleg, B. (2004). A Note on an Axiomatization of the Core of Market Games. Mathematics of Operations Research, 27(3), 441–444.Google Scholar
  241. Sudret, B., & Mai, C. (2015). Computing Derivative-Based Global Sensitivity Measures Using Polynomial Chaos Expansions. Reliability Engineering & System Safety, 134, 241–250.CrossRefGoogle Scholar
  242. Sun, J., & Fang, Y. (2015). Executives’ Professional Ties Along the Supply Chain: The Impact on Partnership Sustainability and Firm Risk. Journal of Financial Stability, 20, 144–154.CrossRefGoogle Scholar
  243. Sutter, M. (2009). Individual Behavior and Group Membership: Comment. American Economic Review, 99(5), 2247–2257.CrossRefGoogle Scholar
  244. Świątkowski, W., & Dompnier, B. (2017). Replicability Crisis in Social Psychology: Looking at the Past to Find New Pathways for the Future. International Review of Social Psychology, 30(1), 111–124.CrossRefGoogle Scholar
  245. Taksar, M. (2001). Optimal Risk and Dividend Distribution Control Models for an Insurance Company. Mathematical Methods of Operations Research, 51, 1–42.CrossRefGoogle Scholar
  246. Taleb, N., & Martin, G. (2012). How to Prevent Other Financial Crises. SAIS Review, XXXII(1). http://www.fooledbyrandomness.com/sais.pdf.
  247. Teece, D. (2015). Intangible Assets and a Theory of Heterogeneous Firms. In A. Bounfour & T. Miyagawa (Eds.), Intangibles, Market Failure and Innovation Performance (pp. 217–239). New York: Springer.Google Scholar
  248. Teece, D. (2016). Dynamic Capabilities and Entrepreneurial Management in Large Organizations: Toward a Theory of the (Entrepreneurial) Firm. European Economic Review, 86, 202–216.CrossRefGoogle Scholar
  249. Thompson, S., & Valentinov, V. (2017). The Neglect of Society in the Theory of the Firm: A Systems-Theory Perspective. Cambridge Journal of Economics, 41(4), 1061–1085.CrossRefGoogle Scholar
  250. Tissot, J., & Prieur, C. (2012). Bias Correction for the Estimation of Sensitivity Indices Based on Random Balance Designs. Reliability Engineering & System Safety, 107, 205–213.CrossRefGoogle Scholar
  251. Tsay, A., Gray, J., Noh, I. & Mahoney, J. (2018). A Review of Production and Operations Management Research on Outsourcing in Supply Chains: Implications for the Theory of the Firm. Production & Operations Management, 27(7), 1177–1220.Google Scholar
  252. Tuzel, S. (2010). Corporate Real Estate Holdings and the Cross-Section of Stock Returns. Review of Financial Studies, 23(6), 2268–2302.CrossRefGoogle Scholar
  253. Venkatasubramanian, V. (2017). How Much Inequality is Fair? Mathematical Principles of a Moral, Optimal, and Stable Capitalist Society. Columbia University Press.Google Scholar
  254. Voit, J. (2003). From Brownian Motion to Operational Risk: Statistical Physics and Financial Markets. Physica A: Statistical Mechanics and Its Applications, 321(1–2), 286–299.CrossRefGoogle Scholar
  255. Wang, P., Lu, Z., et al. (2013). The Derivative Based Variance Sensitivity Analysis for the Distribution Parameters and Its Computation. Reliability Engineering & System Safety, 119, 305–315.CrossRefGoogle Scholar
  256. Wang, T., & Lin, Y. (2009). Using a Multi-Criteria Group Decision Making Approach to Select Merged Strategies for Commercial Banks. Group Decision and Negotiation, 18(6), 519–536.CrossRefGoogle Scholar
  257. Wasserstein, R., & Lazar, N. (2016). The ASA’s Statement on p-Values: Context, Process, and Purpose. The American Statistician, 70(2), 129–133.CrossRefGoogle Scholar
  258. Witt, U., & Schubert, C. (2008). Constitutional Interests in the Face of Innovations: How Much Do We Need to Know About Risk Preferences? Constitutional Political Economy, 19, 203–225.CrossRefGoogle Scholar
  259. Wong, N., & Wong, J. (2001). The Investment Opportunity Set and Acquired Goodwill. Contemporary Accounting Research, 18(1), 173–183.CrossRefGoogle Scholar
  260. Wright, C. (June 2017). Proof-of-Work As It Relates to the Theory of the Firm. Available at SSRN https://ssrn.com/abstract=2993312 or http://dx.doi.org/10.2139/ssrn.2993312.
  261. Wu, P., Liu, S., & Zhai, R. (2018). Nonlinear Impacts of Operating Risk and Demand Management Policy on Banks’ Performance: The Role of Leading Indicator. Economic Analysis & Policy, 59, 40–53.CrossRefGoogle Scholar
  262. Wyatt, A. (2005). Accounting Recognition of Intangible Assets: Theory and Evidence on Economic Determinants. The Accounting Review, 80(3), 967–1003.CrossRefGoogle Scholar
  263. Xiao, S., Lu, Z., & Wang, P. (2018). Multivariate Global Sensitivity Analysis for Dynamic Models Based on Wavelet Analysis. Reliability Engineering & System Safety, 170, 20–30.CrossRefGoogle Scholar
  264. Xie, W., Zhao, Y., Jiang, Z., & Chow, P. (2013). Optimizing Product Service System by Franchise Fee Contracts Under Information Asymmetry. Annals of Operations Research, 240(2), 709–729.Google Scholar
  265. Xu, G., & Chen, J. (2008). Group Decision-Making Procedure Based on Incomplete Reciprocal Relations. Soft Computing—A Fusion of Foundations, Methodologies and Applications, 12(6), 515–521.Google Scholar
  266. Yamasaki, N., et al. (2006). Preferential Attachment and Growth Dynamics in Complex Systems. Physics Review-E, 74(035103R), 1–4.Google Scholar
  267. Yang, X., Haugen, S., & Paltrinieri, N. (2018). Clarifying the Concept of Operational Risk Assessment in the Oil and Gas Industry. Safety Science, 108, 259–268.CrossRefGoogle Scholar
  268. Ye, X., Xue, R., et al. (2018). Optimization in Curbing Risk Contagion Among Financial institutes. Automatica, 94, 214–220.CrossRefGoogle Scholar
  269. Yun, Y., Lu, Z., & Jiang, X. (2018, in press). An Efficient Method for Moment-Independent Global Sensitivity Analysis by Dimensional Reduction Technique and Principle of Maximum Entropy. Reliability Engineering & System Safety.Google Scholar
  270. Zeng, A., Shen, Z., & Zhou, J. (2017). The Science of Science: From the Perspective of Complex Systems. Physics Reports, 714–715, 1–73.CrossRefGoogle Scholar
  271. Zhang, W., Wang, P., et al. (2018). Twitter’s Daily Happiness Sentiment and International Stock Returns: Evidence from Linear and Nonlinear Causality Tests. Journal of Behavioral and Experimental Finance, 18, 50–53.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Michael I. C. Nwogugu
    • 1
  1. 1.EnuguNigeria

Personalised recommendations