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Download PDF (82.5 Index abstraction 8, 92, 200, 243, 266, 267, affective dynamics 280–82, 385, 462 addressing complexity 190–93 achievement motivation 87, 92, 94, definition and distinction with 95–6, 100 cognitive dynamics 184–6 failure and success motivations 98–9 enduring versus episodic nature measuring 96–7 193–7 necessity versus opportunistic research implications of time and entrepreneurs 97–8 planes of influence 209–14 action methodological implications of time cognitive structure 414–18 and planes of influence 214–17 implications of exchange creation and opportunity identification 435–7 research 205–9 recursive relationship with cognition and planes of influence 197–205 347–9 affective events theory 157, 166–7, 286 action research 120–21, 436 affective valuation 254, 255, 258, 267, action-oriented cognition 10–11, 12, 269, 270, 272–5, 276, 284, 287, 402, 413, 436–7, 444 290–91, 298, 299, 300 adaptability 337, 344 definition 262 adaptation 274, 291, 293, 347, 386 role in judgment 302–3 and metacognition 42 affordable loss 450, 463, 466–7 applying neuroscience to 337–9 African cultures 231 neural representation 294–6 agency theory 28 and opportunity belief formation agent-based modelling 423–4, 443–4 336–7, 351, 352–3 agreeableness 334–5 role of dopamine 296–8 aggression 63–4, 286 affect alertness 13, 14, 17, 19, 25, 29, 31, 34, definition 155–6 141, 162, 337, 338–9, 343 ephemeral nature 172–3 altruism 81, 450, 461, 467 intersection with cognition 38, ambiguity 28, 137, 142, 332, 339 155–6, 231–2 amygdala (AMG) 260, 262, 263, 265, and intuition 140, 142 267, 273–5, 284, 286–90, 292–3, key role in entrepreneurial process 295, 318, 335, 346 156 analogies 30, 46, 388–9, 390, 391, 393, methods to study 172–6 394, 460 promising areas for research 161, anger 63–4, 66, 158–9, 160, 163, 164, 165–8 166, 173, 174, 207 regulation and its impact 168–72 Anglo-Saxon countries, cultural summary of studies 157–65 environment 229, 238 transfer to employees 38–9 anterior cingulate cortex (ACC) 260, affect control theory 236 263, 295, 324, 338–9 affect infusion (AIM) model 157 Apple 364–5 affect-as-information theory 40, 157, appraisal tendency framework 158–9, 159–60, 161 160, 164 497 J. Robert Mitchell, Ronald K. Mitchell and Brandon Randolph-Seng - 9781781006597 Downloaded from Elgar Online at 10/02/2021 01:59:41AM via free access 498 Handbook of entrepreneurial cognition approach-oriented thinking 344–6 importance to cognition research arousal 103, 169–70, 262–3, 288, 291, 114–15 296 linking to motivation, intentions and Arrow’s impossibility theorem 451, 455 goals 90–91 artifacts theory 458–62, 464, 466 measurement 124–5 artificial intelligence 186, 386, 458 observed behavior 123–4 as-if models 122, 448, 460–61, 463–4, psychometric measurement 125–7 466, 467 segmentation 116 Asian cultures 231 select behaviors 126 aspirations, and motivations 92, 95, behavioral complexity 4–5, 48, 61–2, 105–6 64–5, 88, 318–19, 412–16 asset specificity 416 behavioral economics 407–8 assimilative learning 32, 336, 337, 338, behavioral research, complexity of 121 340 behaviorally relevant perceptions 254, associative processing 269–71, 272, 262, 269–72, 275, 284, 289, 294 273, 277, 279–81, 284 behaviorist approach 4–5, 7, 17, 18, 61, attention 16, 40, 155–6, 158, 162, 267 62–3, 65 deployment 169 biases 26, 27, 28, 30, 32, 33, 41, 43, 44, focusing 336, 347–8 45, 69–70, 123, 141, 142, 250, 257, heightening 288 264, 344, 376, 378 relationship to action 338–9 biological analysis 326 selective 5 bird-in-hand heuristic 463, 464–6 sensitivity to episodic stimuli 194 blood-oxygenation-level-dependent shifting 74, 194, 294, 320 (BOLD) contrast 321–2 attributions 64, 342–3 bodily movements 147, 233, 371, audience design 392 388–9, 394–5 auto-associative recall 279–80 books, as learning resources 365, 372, autobiographical memory 267 373, 374 automaticity 143, 145 Bose–Einstein distributions 454 autonomic control 274, 295 bottom–up information processing autonomic nervous system (ANS) 346, 347–8 measures 286, 288, 319–20 bounded rationality 23, 202, 416, 417, autonomy 418, 458, 461 definition 136 brain imaging technologies 215, 261, as non-conscious process 142–4 265, 299, 319–23, 324, 338, 439 availability heuristic 20 brain neuroscience avoidance-oriented thinking 345–6 general brain anatomy 318 regions of the brain 323–4 basic level behaviors 116, 118, 119, social cognition and the brain 319 125–6 bricolage 31, 127 basolateral amygdala (BLA) 263, 274, broaden-and-build theory 157 287, 289, 292, 293–4, 295, 296 business plan approach 23–4, 120, 139 behavior broad domain of 121–3 capabilities 20, 23, 213, 301, 393, building new ‘school of thought’ 407–8 128 belief in 22, 240–41 connecting emotional value 293–8 dynamic 36, 234, 337–9 definition 121–2 firm-level 35, 46, 234 economics of research 119–21 cardiovascular/heart-rate readings 174 impediments to research 115–21 career choice intentions 25 J. Robert Mitchell, Ronald K. Mitchell and Brandon Randolph-Seng - 9781781006597 Downloaded from Elgar Online at 10/02/2021 01:59:41AM via free access Index 499 caste, idealized cognitive model 457 cognitive maps 107, 190, 440 causal heuristics 376, 462 cognitive reappraisal 168–72 causal logic 23, 127, 203, 340–41 cognitive representations 18, 144, 147, causal maps 25 193, 296, 347–8, 349, 385 CEOs, impact on venture performance cognitive resources 43, 74, 169, 182, 81–2 187, 190, 194, 195, 197, 200–201, change responsiveness, and 207–8, 215–16, 379 metacognition 76 cognitive revolution 6–7, 64–6, 383 circumstances implications 186–7 affective and cognitive consequences cognitive style 36, 39, 187, 190, 401–2, 191–5, 198, 200, 206, 208–10, 406 212, 216–17 collaborative communication 386 variations in formal properties collectivistic culture 248, 250 204–5, 212 ‘Commander Data’ model 143 climate, as explanatory variable 455–6 commitment 8, 72, 105–6, 137, 163, co-creation of value 41 176, 325, 389, 393 codified knowledge 139, 364, 367, 371, competency 20, 30, 44, 122, 141, 171, 372, 373, 374, 375, 376 369–70, 407, 453–4 cognition development 234–5, 371–2 building blocks 264, 267, 291, competition 12, 30, 35, 81, 96–7, 212, 299–300 326, 369, 416–18 definitions 62, 262 mental representations 190, 197–8 recognition of central role in competitive advantage 116–17, 118, entrepreneurship 66–7 120, 408 as umbrella concept 438–9 competitive altruism 81 cognition–action–cognition complex problems, characterization applying neuroscience to 348–9 200–201 and opportunity belief formation complex systems, properties 418–19 347–8 complexity cognitive complexity 16, 88, 121, 143, affective and cognitive dynamics 209–10, 214–17 190–93 cognitive dynamics and dynamic environments 412–18 addressing complexity 190–93 and use of heuristics 26 definition and distinction with complexity theory 347 affective dynamics 184–6 comprehension 190, 258, 272–3, 280, enduring versus episodic nature 298, 299, 301–2, 349 193–7 computational models 185, 280, 386, implications for entrepreneurship 389 research 186–90 computer simulations 414, 419, 422–4 methodological implications of time advantages/disadvantages 441–3 and planes of influence 214–17 selection issues 443–4 and opportunity identification conceptual models 27, 32, 45, 120–21, research 205–9 195, 238 and planes of influence 197–205 conceptual pacts 391–5 research implications of time and conceptualizations, juncture between planes of influence 209–14 perceptions and 272, 280–82 cognitive difference 349–52 conditioned stimulus (CS) 286, 288 cognitive dissonance 63, 92, 98, 99, congenital learning 366–7 101, 102, 182 connectivity 201, 270–71 cognitive error 26, 27, 28, 68–9, 76 conscientiousness 334–6 J. Robert Mitchell, Ronald K. Mitchell and Brandon Randolph-Seng - 9781781006597 Downloaded from Elgar Online at 10/02/2021 01:59:41AM via free access 500 Handbook of entrepreneurial cognition conscious processes 3, 6–7, 384 importance of study 247 entrepreneurial intentions 137–9 latent-means statistics for US sample entrepreneurial intuition 139–42 245 intersection with non-conscious measures 240–41 processes 134–7 model-fit statistics for latent-means self-regulation as explanatory analysis 244 mechanism 142–4 multi-group analyses of passion consciousness, definition 136 domains 243 ‘consilience’ 91 results 242–7 constitutive models 455–8, 464, 466, sample characteristics 240 467, 468–9 theoretical contribution of study construct validity 174–5 247–8 construction of meaning 229–30, theory and hypothesis development 384 230–38 constructive models 450, 458–62 cultures effectuation as example 462–9 cognitive properties 189 constructivist approach 4, 5, 6 susceptibilities to change 196, 211 contemporary views on cognition 384–7 data collection context-control simulations 422 opportunity discovery 120 contextual processing 276–7 techniques 214–15 convergent learning 32, 297, 340 decision environments coping behaviors 164, 236, 257 and biases 30, 44, 250, 423–4, cortisol tests 174 461 counterfactual thinking 28, 31, 45 and confidence 19, 344 coups, distinguishing from miscues conscious/non-conscious 138–40 276–9 effects of risk and uncertainty 15, crazy-quilt heuristic 463, 467 26, 345, 464 creative problem solving 163, 236 experimentation 114 creative self-efficacy 206–8, 216 information search/processing 19, creativity 32, 37, 38, 48, 77, 156, 26, 28 159–60, 162, 202, 257 and intuition 140–42 cues 8, 9, 35, 142, 156, 276–9, 280–85, market conditions 13 296, 303, 385, 389–90 new venture growth as 402 cultural dimension taxonomy 232–3 as non-comprehensive/non-rational cultural norms 140, 194, 205, 232, 16, 18 249–50, 368–9 role of emotion 38, 157–8, 160–61, culturally situated model of passion 162, 166–7, 170, 187 and self-efficacy social nature 13, 323 AMOS results for structural value-based 264, 291 equation models 246 default mode network (DMN) 254, analysis 241–2 262, 263, 264, 267, 281–2, 291, conceptual model 238 295, 297, 298–9, 300, 302 correlations among variables 246 delayed gratification 32, 72, 77, 291, culture, emotions and cognitions 296, 304 227–30 demand characteristics 121, 123, 124, data 238–40 125 discussion 247–50 dentate gyrus (DG) 263, 268, 272, 273, implications for future research 276, 277–9, 283, 284, 342 248–9 design logic 203, 324, 466 J.
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