Actors in competitive environments are bound to decide and act under conditions of uncertainty because they rarely have accurate foreknowledge of how their opponents will respond and when they will respond. Just as a competitor makes a move to improve their standing on a given variable relative to a target competitor, she should expect the latter to counteract with an iterative lagged asymmetric response, that is, with a sequence of countermoves (iteration) that is very different in kind from its trigger (asymmetry) and that will be launched at some unknown point in the future (time lag). The paper explicates the broad relevance of the newly proposed concept of “iterative lagged asymmetric responses” to the social study of temporality and to fields as diverse as intelligence and counterintelligence studies, strategic management, futures studies, military theory, and long-range planning. By bringing out in the foreground and substantiating the observation that competitive environments place a strategic premium on surprise, the concept of iterative lagged asymmetric responses makes a contribution to the never-ending and many-pronged debate about the extent to which the future can be predicted.
AbbottA (2001) Time Matters: On Theory and Method, Chicago, IL: University of Chicago Press.
2.
AbbottA (2016) Processual Sociology, Chicago, IL: University of Chicago Press.
3.
AinslieG (2013) Grasping the impalpable: The role of endogenous reward in choices, including process addictions. Inquiry56(5): 446–469.
4.
AligicaP (2003) Prediction, explanation and the epistemology of future studies. Futures35(10): 1027–1040.
5.
AllenB (2015) Vanishing Into Things. Knowledge in Chinese Tradition, Cambridge, MA: Harvard University Press.
6.
AnandJMulotteLRenCR (2016) Does experience imply learning?Strategic Management Journal37: 1395–1412.
7.
AngstromJWidénJJ (2015) Contemporary Military Theory: The Dynamics of War, London: Routledge.
8.
ArmstrongJSGreenKCGraefeA (2015) Golden rule of forecasting: Be conservative. Journal of Business Research68(8): 1717–1731.
9.
AvenT (2016) Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research253(1): 1–13.
10.
AxelrodR (2006) The Evolution of Cooperation, New York: Basic Books.
11.
BergmanAKarlssonJCAxelssonJ (2010) Truth claims and explanatory claims – An ontological typology of futures studies. Futures42(8): 857–865.
12.
Borshchev A and Filippov A (2004) From system dynamics and discrete event to practical agent based modeling: Reasons, techniques, tools. In: Proceedings of the 22nd international conference of the system dynamics society (Vol. 22), Oxford: Oxford University Press.
13.
BowlesSGintisH (2011) A Cooperative Species: Human Reciprocity and Its Evolution, Princeton: Princeton University Press.
14.
BrandenburgerAMNalebuffBJ (1996) Co-opetition, New York: Doubleday.
15.
BrunswikE (1943) Organismic achievement and environmental probability. Psychological Review50(3): 255–272.
16.
CalvertKSimandanD (2010) Energy, space, and society: A reassessment of the changing landscape of energy production, distribution, and use. Journal of Economics and Business Research16(1): 13–37.
17.
CapocciaGKelemenRD (2007) The study of critical junctures: Theory, narrative, and counterfactuals in historical institutionalism. World Politics59(03): 341–369.
18.
ChangWTetlockPE (2016) Rethinking the training of intelligence analysts. Intelligence and National Security31(6): 903–920.
19.
ChenMJ (2008) Reconceptualizing the competition–cooperation Relationship: A transparadox perspective. Journal of Management Inquiry17(4): 288–304.
20.
ChenMJMacMillanIC (1992) Nonresponse and delayed response to competitive moves: The roles of competitor dependence and action irreversibility. Academy of Management Journal35(3): 539–570.
ChestertonGK (1927) Orthodoxy, New York: Dodd, Mead & Co.
23.
CiprianiR (2013) The many faces of social time: A sociological approach. Time & Society22(1): 5–30.
24.
CirilloPTalebNN (2016) On the statistical properties and tail risk of violent conflicts. Physica A: Statistical Mechanics and its Applications452: 29–45.
25.
ClarkA (2013) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences36(03): 181–204.
ClemensES (2007) Toward a historicized sociology: Theorizing events, processes, and emergence. Annual Review of Sociology33: 527–549.
28.
ConverseBAReinhardDA (2016) On rivalry and goal pursuit: Shared competitive history, legacy concerns, and strategy selection. Journal of Personality and Social Psychology110(2): 191–213.
29.
CornelissenJPWernerMD (2014) Putting framing in perspective: A review of framing and frame analysis across the management and organizational literature. Academy of Management Annals8(1): 181–235.
30.
CsaszarFLevinthalD (2016) Mental representation and the discovery of new strategies. Strategic Management Journal37(10): 2031–2049.
31.
DeedsErmarth E (2010) What if time is a dimension of events, not an envelope for them?Time & Society19(1): 133–150.
32.
DerbyshireJ (2016) The implications, challenges and benefits of a complexity-orientated futures studies. Futures77: 45–55.
33.
DerbyshireJ (2017a) The siren call of probability: Dangers associated with using probability for consideration of the future. Futures88: 43–54.
34.
DerbyshireJ (2017b) Potential surprise theory as a theoretical foundation for scenario planning. Technological Forecasting and Social Change124: 77–87.
35.
ElsterJ (2007) Explaining Social Behavior: More Nuts and Bolts for the Social Sciences, Cambridge: Cambridge University Press.
36.
EndsleyMR (1995) Toward a theory of situation awareness in dynamic systems. Human Factors: The Journal of the Human Factors and Ergonomics Society37(1): 32–64.
37.
FaheyL (1999) Competitors: Outwitting, Outmaneuvering, and Outperforming, Texas: University of Texas Press.
38.
FeduziARundeJ (2014) Uncovering unknown unknowns: Towards a Baconian approach to management decision-making. Organizational Behavior and Human Decision Processes124(2): 268–283.
39.
FelinTKauffmanSKopplR, et al.(2014) Economic opportunity and evolution: Beyond landscapes and bounded rationality. Strategic Entrepreneurship Journal8(4): 269–282.
40.
FestingerL (1954) A theory of social comparison processes. Human relations7(2): 117–140.
41.
FjeldstadØDSnowCCMilesRE, et al.(2012) The architecture of collaboration. Strategic Management Journal33: 734–750.
42.
FligsteinNMcAdamD (2011) Toward a general theory of strategic action fields. Sociological Theory29(1): 1–26.
43.
ForresterJW (1971) Counterintuitive behavior of social systems. Technological Forecasting and Social Change3: 1–22.
44.
FreedmanL (2015) Strategy: A History, Oxford: Oxford University Press.
45.
GavettiG (2012) Toward a behavioral theory of strategy. Organization Science23(1): 267–285.
46.
GavettiGMenonA (2016) Evolution cum agency: Toward a model of strategic foresight. Strategy Science1(3): 207–233.
47.
GerritsLMarksP (2015) The evolution of Wright's (1932) adaptive field to contemporary interpretations and uses of fitness landscapes in the social sciences. Biology & Philosophy30(4): 459–479.
48.
GodsonRWirtzJ (2011) Strategic Denial and Deception: The Twenty-first Century Challenge, New Brunswick, NJ: Transaction Publishers.
49.
GnyawaliDRMadhavanR (2001) Cooperative networks and competitive dynamics: A structural embeddedness perspective. Academy of Management Review26(3): 431–445.
50.
Group TMADFawcettTWFallensteinB, et al.(2014) The evolution of decision rules in complex environments. Trends in Cognitive Sciences18(3): 153–161.
51.
Grzymala-BusseA (2011) Time will tell? Temporality and the analysis of causal mechanisms and processes. Comparative Political Studies44(9): 1267–1297.
52.
HammondKR (1996) Human Judgment and Social Policy: Irreducible Uncertainty, Inevitable Error, Unavoidable Injustice, Oxford: Oxford University Press.
53.
HeuerRJ (1999) Psychology of Intelligence Analysis, Washington, DC: Center for the Study of Intelligence.
54.
HillGDattaPAcarW (2015) Shifting perspectives: A process model for sense making under uncertainty. International Journal of Strategic Decision Sciences6(1): 33–52.
55.
HirshJBMarRAPetersonJB (2012) Psychological entropy: A framework for understanding uncertainty-related anxiety. Psychological Review119(2): 304–320.
56.
HogarthRLejarragaTSoyerE (2015) The two settings of kind and wicked learning environments. Current Directions in Psychological Science24(5): 379–385.
57.
JordanMRJordanJJRandDG (2017) No unique effect of intergroup competition on cooperation: Non-competitive thresholds are as effective as competitions between groups for increasing human cooperative behavior. Evolution and Human Behavior38(1): 102–108.
58.
KahnemanD (2011) Thinking, Fast and Slow, New York: Macmillan.
59.
KarlssonNLoewensteinGSeppiD (2009) The ostrich effect: Selective attention to information. Journal of Risk and Uncertainty38(2): 95–115.
60.
KauffmanSJohnsenS (1991) Coevolution to the edge of chaos: Coupled fitness landscapes, poised states, and coevolutionary avalanches. Journal of Theoretical Biology149(4): 467–505.
61.
Keefer LA, Stewart SA, Palitsky R, et al. (2017) Time–space distanciation: An empirically supported integrative framework for the cultural psychology of time and space. Time & Society, OnlineFirst, DOI: 10.1177/0961463X17716736.
62.
KeynesJM (1923) A Tract on Monetary Reform, London: Macmillan.
63.
KeynesJM (1936) The General Theory of Employment, Interest and Money, London: Macmillan.
64.
KhannaTGulatiRNohriaN (1998) The dynamics of learning alliances: Competition, cooperation, and relative scope. Strategic Management Journal19(3): 193–210.
65.
KiechelW (2010) The Lords of Strategy: The Secret Intellectual History of the New Corporate World, Boston: Harvard Business Review Press.
66.
KunischSBartunekJMuellerJ, et al.(2017) Time in strategic change research. Academy of Management Annals11(2): 1–60.
67.
KwakkelJHPruytE (2013) Exploratory modeling and analysis, an approach for model-based foresight under deep uncertainty. Technological Forecasting and Social Change80(3): 419–431.
68.
ListD (2004) Multiple pasts, converging presents, and alternative futures. Futures36(1): 23–43.
69.
LiptonP (2004) Inference to the Best Explanation, 2nd ed. London: Routledge.
70.
LoriniECastelfranchiC (2007) The cognitive structure of surprise: Looking for basic principles. Topoi26(1): 133–149.
71.
LuomaJRuutuSKingA, et al.(2017) Time delays, competitive interdependence, and firm performance. Strategic Management Journal38(3): 506–525.
72.
MagnusonJJ (1990) Long-term ecological research and the invisible present. BioScience40(7): 495–501.
73.
MarchJG (1994) Primer on Decision Making: How Decisions Happen, New York: Simon and Schuster.
74.
MarchJG (2010) The Ambiguities of Experience, Ithaca: Cornell University Press.
75.
MartignoniDMenonASiggelkowN (2016) Consequences of misspecified mental models: Contrasting effects and the role of cognitive fit. Strategic Management Journal37(13): 2545–2568.
76.
McNamaraJM (2013) Towards a richer evolutionary game theory. Journal of the Royal Society Interface10(88): 1–9. .
77.
MendonçaSe CunhaMPKaivoojaJ, et al.(2004) Wild cards, weak signals and organisational improvisation. Futures36(2): 201–218.
78.
MiekiszJ (2008) Evolutionary game theory and population dynamics. In: CapassoVLachowiczM (eds) Multiscale Problems in the Life Sciences, Berlin, Heidelberg: Springer, pp. 269–316. .
79.
MilevskiL (2014) Asymmetry is strategy, strategy is asymmetry. Joint Force Quarterly75: 77–83.
80.
MillerD (2003) An asymmetry-based view of advantage: Towards an attainable sustainability. Strategic Management Journal24(10): 961–976.
81.
MillerDSardaisC (2013) How our frames direct us: A poker experiment. Organization Studies34(9): 1381–1405.
82.
MillerJPageS (2009) Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton: Princeton University Press.
83.
MillikenF (1987) Three types of perceived uncertainty about the environment: State, effect, and response uncertainty. Academy of Management Review12(1): 133–143.
84.
MoranC (2015) Time as a social practice. Time & Society24(3): 283–303.
85.
NadkarniSChenTChenJ (2016) The clock is ticking! Executive temporal depth, industry velocity, and competitive aggressiveness. Strategic Management Journal37(6): 1132–1153.
86.
OhlssonS (2011) Deep learning: How the Mind Overrides Experience, Cambridge: Cambridge University Press.
87.
OlsenJP (2008) The ups and downs of bureaucratic organization. Annual Review of Political Science11: 13–37.
88.
OsingaF (2007) Science, Strategy and War: The Strategic Theory of John Boyd, London: Routledge.
89.
PartnoyF (2012) Wait: The Art and Science of Delay, New York: Public Affairs.
90.
PeterMKJarrattDG (2015) The practice of foresight in long-term planning. Technological Forecasting and Social Change101: 49–61.
91.
PhillipsF (2007) On S-curves and tipping points. Technological Forecasting and Social Change74(6): 715–730.
92.
PhillipsFKimN (1996) Implications of chaos research for new product forecasting. Technological Forecasting and Social Change53(3): 239–261.
93.
PhillipsFSuYS (2013) Chaos, strategy, and action: How not to fiddle while Rome Burns. International Journal of Innovation and Technology Management10(06): 1340030.
94.
PhillipsFTuladharSD (2000) Measuring organizational flexibility: An exploration and general model. Technological Forecasting and Social Change64(1): 23–38.
95.
PoliR (2010) The many aspects of anticipation. Foresight – The journal of Future Studies, Strategic Thinking and Policy12(3): 7–17.
96.
PorterM (1996) What is strategy?Harvard Business Review1996: 61–78.
97.
RahmandadHRepenningNStermanJ (2009) Effects of feedback delay on learning. System Dynamics Review25(4): 309–338.
98.
RandDG (2016) Cooperation, fast and slow: Meta-analytic evidence for a theory of social heuristics and self-interested deliberation. Psychological Science27(9): 1192–1206.
99.
Rao VG (2011) Tempo: Timing, Tactics and Strategy in Narrative-driven Decision-making. Seattle, Washington: Ribbonfarm.
100.
RescherN (1998) Predicting the Future: An Introduction to the Theory of Forecasting, New York: SUNY Press.
101.
RescherN (2009) Ignorance (On the Wider Implications of Deficient Knowledge), Pittsburgh, PA: University of Pittsburgh Press.
102.
RichardsonGP (1999) Feedback Thought in Social Science and Systems Theory, Waltham, MA: Pegasus Communications.
103.
RichterH (2014) Fitness landscapes that depend on time. In: RichterHEngelbrechtA (eds) Recent Advances in the Theory and Application of Fitness Landscapes, Berlin, Heidelberg: Springer, pp. 265–299.
104.
RuniaE (2014) Moved by the Past: Discontinuity and Historical Mutation, New York, NY: Columbia University Press.
105.
San CristóbaJR (2014) Cost allocation between activities that have caused delays in a project using game theory. Procedia Technology16: 1017–1026.
106.
SchwartzB (1975) Queuing and Waiting: Studies in the Social Organization of Access and Delay, Chicago, IL: University of Chicago Press.
107.
ShackleGLS (1970) Expectation, Enterprise, and Profit: The Theory of the Firm, London: George Allen & Unwin.
108.
ShapiroIBediS (2006) Political Contingency: Studying the Unexpected, the Accidental, and the Unforeseen, New York: New York University Press.
109.
SchilkeO (2014) On the contingent value of dynamic capabilities for competitive advantage: The nonlinear moderating effect of environmental dynamism. Strategic Management Journal35(2): 179–203.
110.
SimandanD (2002) On what it takes to be a good geographer. Area34(3): 284–293.
111.
SimandanD (2005a) New Ways in Geography, Timisoara: West University Press.
112.
Simandan D (2005b) Pragmatic Scepticism and the Possibilities of Knowledge. Timisoara: West University Press (Editura Universitatii de Vest).
113.
SimandanD (2010) Beware of contingency. Environment and Planning D: Society and Space28(3): 388–396.
114.
SimandanD (2011a) Kinds of environments – A framework for reflecting on the possible contours of a better world. The Canadian Geographer/Le Géographe canadien55(3): 383–386.
115.
SimandanD (2011b) On time, place and happiness. New Zealand Geographer67(1): 6–15.
116.
SimandanD (2011c) Is engaged pluralism the best way ahead for economic geography? Commentary on Barnes and Sheppard (2009). Progress in Human Geography35(4): 568–572.
117.
SimandanD (2011d) The wise stance in human geography. Transactions of the Institute of British Geographers36(2): 188–192.
118.
SimandanD (2012) Options for moving beyond the canonical model of regional path dependence. International Journal of Urban and Regional Research36(1): 172–178.
119.
SimandanD (2013a) Introduction: Learning as a geographical process. The Professional Geographer65(3): 363–368.
120.
SimandanD (2013b) Learning wisdom through geographical dislocations. The Professional Geographer65(3): 390–395.
121.
SimandanD (2016) Proximity, subjectivity, and space: Rethinking distance in human geography. Geoforum75: 249–252.
122.
Simandan D (2017) Competition, contingency, and destabilization in urban assemblages and actor-networks. Urban Geography, (advanced online publication): pp. 1–12.
123.
SimandanD (2018) Wisdom and foresight in Chinese thought: Sensing the immediate future. Journal of Futures Studies. 22(3): 35–50.
124.
SimpsonBWillerR (2015) Beyond altruism: Sociological foundations of cooperation and prosocial behavior. Annual Review of Sociology41: 43–63.
125.
SmithKGFerrierWJNdoforH (2001) Competitive dynamics research: Critique and future directions. In: HittMAFreemanREHarrisonJS (eds) Handbook of Strategic Management, London: Blackwell Publishers, pp. 315–361. .
126.
SmithKGGrimmCMGannonMJ (1992) Dynamics of Competitive Strategy, Newbury Park, CA: Sage Publications, Inc.
127.
SoberE (2009) Absence of evidence and evidence of absence: Evidential transitivity in connection with fossils, fishing, fine-tuning, and firing squads. Philosophical Studies143(1): 63–90.
128.
SoiferHD (2012) The causal logic of critical junctures. Comparative Political Studies45(12): 1572–1597.
129.
SolingenE (2012) Of dominoes and firewalls: The domestic, regional, and global politics of international diffusion. International Studies Quarterly56(4): 631–644.
130.
StermanJ (2000) Business Dynamics: Systems Thinking and Modeling for a Complex World, Irwin: McGraw-Hill.
131.
StieglitzNKnudsenTBeckerMC (2016) Adaptation and inertia in dynamic environments. Strategic Management Journal37: 1854–1864.
132.
TalebNN (2007) The Black Swan: The Impact of the Highly Improbable, New York: Random House.
133.
TavoryIEliasophN (2013) Coordinating futures: Toward a theory of anticipation. American Journal of Sociology118(4): 908–942.
134.
Tembine H, Altman E and El-Azouzi R (2007) Asymmetric delay in evolutionary games. In: Proceedings of the 2nd international conference on Performance evaluation methodologies and tools. ICST, p. 36, Brussels, Belgium.
ThorntonR (2007) Asymmetric Warfare: Threat and Response in the 21st Century, Cambridge: Polity Press.
137.
TuckerA (2011) A Companion to the Philosophy of History and Historiography, Chichester, UK: John Wiley & Sons.
138.
TuomiI (2012) Foresight in an unpredictable world. Technology Analysis & Strategic Management24(8): 735–751.
139.
VecchiatoR (2012) Environmental uncertainty, foresight and strategic decision making: An integrated study. Technological Forecasting and Social Change79(3): 436–447.
140.
VespignaniA (2009) Predicting the behavior of techno-social systems. Science325(5939): 425–428.
WildenRGuderganSP (2015) The impact of dynamic capabilities on operational marketing and technological capabilities: Investigating the role of environmental turbulence. Journal of the Academy of Marketing Science43(2): 181–199.
143.
WinterY (2011) The asymmetric war discourse and its moral economies: a critique. International Theory3(03): 488–514.
144.
ZwartF (2015) Unintended but not unanticipated consequences. Theory and Society44(3): 283–297.
