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An analysis of process-tracing research on consumer decision-making

Zuschke, Nick·2020·Journal of Business Research

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Research works printed but not linked: 126

  1. Acedo, 2005, Current paradigms in the international management field: An author co-citation analysis, International Business Review, 14, 619, 10.1016/j.ibusrev.2005.05.003 · DOI · Paper page
  2. Alba, 1987, Dimensions of consumer expertise, Journal of Consumer Research, 13, 411, 10.1086/209080 · DOI · Paper page
  3. Anderson, 2004, Eye movements do not reflect retrieval processes: Limits of the eye-mind hypothesis, Psychological Science, 15, 225, 10.1111/j.0956-7976.2004.00656.x · DOI
  4. Ariely, 2010, Neuromarketing: The hope and hype of neuroimaging in business, Nature Reviews. Neuroscience, 11, 284, 10.1038/nrn2795 · DOI · Paper page
  5. Armel, 2008, Biasing simple choices by manipulating relative visual attention, Judgment and Decision making, 3, 396, 10.1017/S1930297500000413 · DOI · Paper page
  6. Atalay, 2012, Shining in the center: Central gaze cascade effect on product choice, Journal of Consumer Research, 39, 848, 10.1086/665984 · DOI · Paper page
  7. Baumgartner, 2003, The structural influence of marketing journals: A citation analysis of the discipline and its subareas over time, Journal of Marketing, 67, 123, 10.1509/jmkg.67.2.123.18610 · DOI · Paper page
  8. Bechara, 2005, The somatic marker hypothesis: A neural theory of economic decision, Games and Economic Behavior, 52, 336, 10.1016/j.geb.2004.06.010 · DOI · Paper page
  9. Becker, 1964, Measuring utility by a single-response sequential method, Behavioral Science, 9, 226, 10.1002/bs.3830090304 · DOI · Paper page
  10. Bettman, 1977, Effects of information presentation format on consumer information acquisition strategies, Journal of Consumer Research, 3, 233, 10.1086/208672 · DOI · Paper page
  11. Bettman, 1998, Constructive consumer choice processes, Journal of Consumer Research, 25, 187, 10.1086/209535 · DOI · Paper page
  12. Bettman, 1979, Information format and choice task effects in decision making, Journal of Consumer Research, 6, 141, 10.1086/208757 · DOI
  13. Bialkova, 2014, Attention mediates the effect of nutrition label information on consumers' choice. Evidence from a choice experiment involving eye-tracking, Appetite, 76, 66, 10.1016/j.appet.2013.11.021 · DOI
  14. Bialkova, 2010, What determines consumer attention to nutrition labels?, Food Quality and Preference, 21, 1042, 10.1016/j.foodqual.2010.07.001 · DOI
  15. Bialkova, 2011, An efficient methodology for assessing attention to and effect of nutrition information displayed front-of-pack, Food Quality and Preference, 22, 592, 10.1016/j.foodqual.2011.03.010 · DOI
  16. Boksem, 2015, Brain responses to movie trailers predict individual preferences for movies and their population-wide commercial success, Journal of Marketing Research, 52, 482, 10.1509/jmr.13.0572 · DOI · Paper page
  17. Chabowski, 2013, A bibliometric analysis of the global branding literature and a research agenda, Journal of International Business Studies, 44, 622, 10.1057/jibs.2013.20 · DOI
  18. Chandon, 2009, Does in-store marketing work?: Effects of the number and position of shelf facings on brand attention and evaluation at the point of purchase, Journal of Marketing, 73, 1, 10.1509/jmkg.73.6.1 · DOI · Paper page
  19. Chen, 1986, A relationship between Lotka's law, Bradford's law, and Zipf's law, Journal of the American Society for Information Science, 37, 307, 10.1002/(SICI)1097-4571(198609)37:5<307::AID-ASI5>3.0.CO;2-8 · doi:10.1002/(sici)1097-4571(198609)37:5<307::aid-asi5>3.0.co;2-8
  20. Cowburn, 2005, Consumer understanding and use of nutrition labelling: A systematic review, Public Health Nutrition, 8, 10.1079/PHN2005666 · DOI · Paper page
  21. Deppe, 2005, Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making, Journal of Neuroimaging, 15, 171, 10.1111/j.1552-6569.2005.tb00303.x · DOI · Paper page
  22. Drèze, 1994, Shelf management and space elasticity, Journal of Retailing, 70, 301, 10.1016/0022-4359(94)90002-7 · DOI · Paper page
  23. Enax, 2016, Salient nutrition labels increase the integration of health attributes in food decision-making, Judgment and Decision making, 11, 460, 10.1017/S1930297500004563 · DOI
  24. Erk, 2002, Cultural objects modulate reward circuitry, Neuroreport, 13, 2499, 10.1097/00001756-200212200-00024 · DOI · Paper page
  25. Esch, 2012, Brands on the brain: Do consumers use declarative information or experienced emotions to evaluate brands?, Journal of Consumer Psychology, 22, 75, 10.1016/j.jcps.2010.08.004 · DOI · Paper page
  26. Fetscherin, 2015, Consumer brand relationships research: A bibliometric citation meta-analysis, Journal of Business Research, 68, 380, 10.1016/j.jbusres.2014.06.010 · DOI · Paper page
  27. Feunekes, 2008, Front-of-pack nutrition labelling: Testing effectiveness of different nutrition labelling formats front-of-pack in four European countries, Appetite, 50, 57, 10.1016/j.appet.2007.05.009 · DOI · Paper page
  28. Ford, 1989, Process tracing methods: Contributions, problems, and neglected research questions, Organizational Behavior and Human Decision Processes, 43, 75, 10.1016/0749-5978(89)90059-9 · DOI · Paper page
  29. Fowles, 1981, Publication recommendations for Electrodermal measurements, Psychophysiology, 18, 232, 10.1111/j.1469-8986.1981.tb03024.x · DOI · Paper page
  30. Gilbride, 2004, A choice model with conjunctive, disjunctive, and compensatory screening rules, Marketing Science, 23, 391, 10.1287/mksc.1030.0032 · DOI · Paper page
  31. Glaholt, 2011, Eye movement monitoring as a process tracing methodology in decision making research, Journal of Neuroscience, Psychology, and Economics, 4, 125, 10.1037/a0020692 · DOI
  32. Graham, 2011, Location, location, location: Eye-tracking evidence that consumers preferentially view prominently positioned nutrition information, Journal of the American Dietetic Association, 111, 1704, 10.1016/j.jada.2011.08.005 · DOI
  33. Graham, 2012, Predictors of nutrition label viewing during food purchase decision making: An eye tracking investigation, Public Health Nutrition, 15, 189, 10.1017/S1368980011001303 · DOI
  34. Graham, 2012, Eye tracking and nutrition label use: A review of the literature and recommendations for label enhancement, Food Policy, 37, 378, 10.1016/j.foodpol.2012.03.004 · DOI · Paper page
  35. Grosenick, 2008, Interpretable classifiers for fMRI improve prediction of purchases, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16, 539, 10.1109/TNSRE.2008.926701 · DOI
  36. Grunert, 2007, A review of European research on consumer response to nutrition information on food labels, Journal of Public Health, 15, 385, 10.1007/s10389-007-0101-9 · DOI · Paper page
  37. Grunert, 2010, Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK, Appetite, 55, 177, 10.1016/j.appet.2010.05.045 · DOI · Paper page
  38. Gurzki, 2017, Mapping the luxury research landscape: A bibliometric citation analysis, Journal of Business Research, 77, 147, 10.1016/j.jbusres.2016.11.009 · DOI · Paper page
  39. Hare, 2009, Self-control in decision-making involves modulation of the vmPFC valuation system, Science (New York, N.Y.), 324, 646, 10.1126/science.1168450 · DOI · Paper page
  40. Hawley, 2013, The science on front-of-package food labels, Public Health Nutrition, 16, 430, 10.1017/S1368980012000754 · DOI · Paper page
  41. Helgeson, 1984, Trends in consumer behavior literature: A content analysis, Journal of Consumer Research, 10, 449, 10.1086/208985 · DOI
  42. Janiszewski, 1998, The influence of display characteristics on visual exploratory search behavior, Journal of Consumer Research, 25, 290, 10.1086/209540 · DOI · Paper page
  43. Jones, 2007, An objective examination of consumer perception of nutrition information based on healthiness ratings and eye movements, Public Health Nutrition, 10
  44. Just, 1980, A theory of reading: From eye fixations to comprehension, Psychological Review, 87, 329, 10.1037/0033-295X.87.4.329 · DOI · Paper page
  45. Kable, 2007, The neural correlates of subjective value during intertemporal choice, Nature Neuroscience, 10, 1625, 10.1038/nn2007 · DOI · Paper page
  46. Kaiser, 1974, Little jiffy, mark iv, Educational and Psychological Measurement, 34, 111, 10.1177/001316447403400115 · DOI · Paper page
  47. Karmarkar, 2017, Consumer neuroscience, Organizational Research Methods, 3
  48. Khushaba, 2013, Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking, Expert Systems with Applications, 40, 3803, 10.1016/j.eswa.2012.12.095 · DOI · Paper page
  49. Kim, 2008, Evaluation of internet advertising research: A bibliometric analysis of citations from key sources, Journal of Advertising, 37, 99
  50. Krajbich, 2011, Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions, Proceedings of the National Academy of Sciences of the United States of America, 108, 13852, 10.1073/pnas.1101328108 · DOI · Paper page
  51. Krugman, 1994, Do adolescents attend to warnings in cigarette advertising? An eye tracking approach, Journal of Advertising Research, 39, 10.1080/00218499.1994.12466981 · DOI
  52. Kuntner, 2016, The scope of price promotion research: An informetric study, Journal of Business Research, 69, 2687, 10.1016/j.jbusres.2015.11.004 · DOI
  53. Levy, 2011, Choice from non-choice: Predicting consumer preferences from blood oxygenation level-dependent signals obtained during passive viewing, The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 31, 118, 10.1523/JNEUROSCI.3214-10.2011 · DOI
  54. Lin, 2015, A think-aloud study of strategy use by EFL college readers reading Chinese and English texts, Journal of Research in Reading, 38, 286, 10.1111/1467-9817.12012 · doi:10.1111/1467-9817.12012
  55. Linder, 2010, Organic labeling influences food valuation and choice, NeuroImage, 53, 215, 10.1016/j.neuroimage.2010.05.077 · DOI
  56. Lohse, 1997, Consumer eye movement patterns on yellow pages advertising, Journal of Advertising, 26, 61, 10.1080/00913367.1997.10673518 · DOI · Paper page
  57. Lohse, 1996, A comparison of two process tracing methods for choice tasks, Organizational Behavior and Human Decision Processes, 68, 28, 10.1006/obhd.1996.0087 · DOI · Paper page
  58. Luce, 1991, Response times: Their role in inferring elementary mental organization (1. issued as paperback), vol. 8
  59. McCain, 1990, Mapping authors in intellectual space: A technical overview, Journal of the American Society for Information Science, 41, 433, 10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q · DOI
  60. McClure, 2004, Neural correlates of behavioral preference for culturally familiar drinks, Neuron, 44, 379, 10.1016/j.neuron.2004.09.019 · DOI · Paper page
  61. McMillan, 2008, Mapping the invisible colleges of R&D management, R&D Management, 38, 69, 10.1111/j.1467-9310.2007.00495.x · DOI
  62. Meißner, 2016, Eye tracking reveals processes that enable conjoint choices to become increasingly efficient with practice, Journal of Marketing Research, 53, 1, 10.1509/jmr.13.0467 · DOI
  63. Meißner, 2017, The promise of eye-tracking methodology in organizational research, Organizational Research Methods, 8
  64. Meißner, 2017, Combining virtual reality and mobile eye tracking to provide a naturalistic experimental environment for shopper research, Journal of Business Research
  65. Milosavljevic, 2012, Relative visual saliency differences induce sizable bias in consumer choice, Journal of Consumer Psychology, 22, 67, 10.1016/j.jcps.2011.10.002 · DOI · Paper page
  66. Nerur, 2008, The intellectual structure of the strategic management field: An author co-citation analysis, Strategic Management Journal, 29, 319, 10.1002/smj.659 · DOI · Paper page
  67. Orquin, 2014, A Brunswik lens model of consumer health judgments of packaged foods, Journal of Consumer Behaviour, 28
  68. Orquin, 2013, Attention and choice: A review on eye movements in decision making, Acta Psychologica, 144, 190, 10.1016/j.actpsy.2013.06.003 · DOI · Paper page
  69. Paulus, 2003, Ventromedial prefrontal cortex activation is critical for preference judgments, Neuroreport, 14, 1311
  70. Payne, 1976, Task complexity and contingent processing in decision making: An information search and protocol analysis, Organizational Behavior and Human Performance, 16, 366, 10.1016/0030-5073(76)90022-2 · DOI · Paper page
  71. Payne, 1992, Behavioral decision research: A constructive processing perspective, Annual Review of Psychology, 43, 87, 10.1146/annurev.ps.43.020192.000511 · DOI · Paper page
  72. Pfeiffer, 2014, On the influence of context-based complexity on information search patterns: An individual perspective, Journal of Neuroscience, Psychology, and Economics, 7, 103, 10.1037/npe0000021 · DOI
  73. Pieters, 1999, Visual attention to repeated print advertising: A test of scanpath theory, Journal of Marketing Research, 36, 424, 10.1177/002224379903600403 · DOI · Paper page
  74. Pieters, 2002, Breaking through the clutter: Benefits of advertisement originality and familiarity for brand attention and memory, Management Science, 48, 765, 10.1287/mnsc.48.6.765.192 · DOI · Paper page
  75. Pieters, 2004, Attention capture and transfer in advertising: Brand, pictorial, and text-size effects, Journal of Marketing, 68, 36, 10.1509/jmkg.68.2.36.27794 · DOI · Paper page
  76. Pieters, 2007, Goal control of attention to advertising: The Yarbus implication, Journal of Consumer Research, 34, 224, 10.1086/519150 · DOI · Paper page
  77. Pilkington, 2006, Operations management themes, concepts and relationships: A forward retrospective of IJOPM, International Journal of Operations & Production Management, 26, 1255, 10.1108/01443570610705854 · DOI
  78. Plassmann, 2007, What can advertisers learn from neuroscience?, International Journal of Advertising, 26, 151, 10.1080/10803548.2007.11073005 · DOI
  79. Plassmann, 2007, Orbitofrontal cortex encodes willingness to pay in everyday economic transactions, The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 27, 9984, 10.1523/JNEUROSCI.2131-07.2007 · DOI · Paper page
  80. Plassmann, 2008, Marketing actions can modulate neural representations of experienced pleasantness, Proceedings of the National Academy of Sciences of the United States of America, 105, 1050, 10.1073/pnas.0706929105 · DOI · Paper page
  81. Plassmann, 2012, Branding the brain: A critical review and outlook, Journal of Consumer Psychology, 22, 18, 10.1016/j.jcps.2011.11.010 · DOI · Paper page
  82. Plassmann, 2015, Consumer neuroscience: Applications, challenges, and possible solutions, Journal of Marketing Research, 52, 427, 10.1509/jmr.14.0048 · DOI · Paper page
  83. Poels, 2006, How to capture the heart?: Reviewing 20 years of emotion measurement in advertising, Journal of Advertising Research, 46, 18, 10.2501/S0021849906060041 · doi:10.2501/s0021849906060041
  84. Rapp, 2015, “Lordy, Lordy, look Who's 40!:” The journal of consumer research reaches a milestone, Journal of Consumer Research, 42, 19, 10.1093/jcr/ucv011 · DOI
  85. Rayner, 2008, Eye movements when looking at print advertisements: The goal of the viewer matters, Applied Cognitive Psychology, 22, 697, 10.1002/acp.1389 · DOI
  86. Rayner, 2001, Integrating text and pictorial information: Eye movements when looking at print advertisements, Journal of Experimental Psychology: Applied, 7, 219
  87. Reimann, 2010, Aesthetic package design: A behavioral, neural, and psychological investigation, Journal of Consumer Psychology, 20, 431, 10.1016/j.jcps.2010.06.009 · DOI · Paper page
  88. Reutskaja, 2011, Search dynamics in consumer choice under time pressure: An eye-tracking study, American Economic Review, 101, 900, 10.1257/aer.101.2.900 · DOI · Paper page
  89. Rosbergen, 1997, Visual attention to advertising: A segment-level analysis, Journal of Consumer Research, 24, 305, 10.1086/209512 · DOI · Paper page
  90. Russo, 1983, Strategies for multiattribute binary choice, Journal of Experimental Psychology. Learning, Memory, and Cognition, 9, 676, 10.1037/0278-7393.9.4.676 · doi:10.1037/0278-7393.9.4.676 · Paper page
  91. Russo, 1994, An eye-fixation analysis of choice processes for consumer nondurables, Journal of Consumer Research, 21, 274, 10.1086/209397 · DOI · Paper page
  92. Ryan, 2018, The eyes have it: Using eye tracking to inform information processing strategies in multi-attributes choices, Health Economics, 27, 709, 10.1002/hec.3626 · DOI
  93. Sanfey, 2003, The neural basis of economic decision-making in the ultimatum game, Science (New York, N.Y.), 300, 1755, 10.1126/science.1082976 · DOI · Paper page
  94. Schaefer, 2006, Neural correlates of culturally familiar brands of car manufacturers, NeuroImage, 31, 861, 10.1016/j.neuroimage.2005.12.047 · DOI
  95. Schaefer, 2007, Favorite brands as cultural objects modulate reward circuit, Neuroreport, 18, 141, 10.1097/WNR.0b013e328010ac84 · DOI
  96. Schulte-Mecklenbeck, 2017, Process-tracing methods in decision making: On growing up in the 70s, Current Directions in Psychological Science, 26, 442, 10.1177/0963721417708229 · DOI
  97. Schulte-Mecklenbeck, 2011, The role of process data in the development and testing of process models of judgment and decision making, Judgment and Decision making, 6, 733, 10.1017/S1930297500004162 · DOI
  98. Shafique, 2013, Thinking inside the box?: Intellectual structure of the knowledge base of innovation research (1988–2008), Strategic Management Journal, 34, 62, 10.1002/smj.2002 · DOI · Paper page
  99. Shi, 2013, Information acquisition during online decision making: A model-based exploration using eye-tracking data, Management Science, 59, 1009, 10.1287/mnsc.1120.1625 · DOI
  100. Simon, 1955, A behavioral model of rational choice, The Quarterly Journal of Economics, 69, 99, 10.2307/1884852 · DOI · Paper page
  101. Small, 1973, Co-citation in the scientific literature: A new measure of the relationship between two documents, Journal of the American Society for Information Science, 24, 265, 10.1002/asi.4630240406 · DOI · Paper page
  102. Small, 2006, Tracking and predicting growth areas in science, Scientometrics, 68, 595, 10.1007/s11192-006-0132-y · DOI · Paper page
  103. Small, 1977, A co-citation model of a scientific specialty: A longitudinal study of collagen research, Social Studies of Science, 1977, 139, 10.1177/030631277700700202 · DOI · Paper page
  104. Smidts, 2014, Advancing consumer neuroscience, Marketing Letters, 25, 257, 10.1007/s11002-014-9306-1 · DOI
  105. Stüttgen, 2012, A satisficing choice model, Marketing Science, 31, 878, 10.1287/mksc.1120.0732 · DOI
  106. Sullivan, 2015, Dietary self-control is related to the speed with which attributes of healthfulness and tastiness are processed, Psychological Science, 26, 122, 10.1177/0956797614559543 · DOI · Paper page
  107. Swait, 2001, The influence of task complexity on consumer choice: A latent class model of decision strategy switching, Journal of Consumer Research, 28, 135, 10.1086/321952 · DOI · Paper page
  108. Teichert, 2010, Investigating research streams of conjoint analysis: A bibliometric study, Business Research, 3, 49, 10.1007/BF03342715 · DOI
  109. Tusche, 2010, Neural responses to unattended products predict later consumer choices, The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 30, 8024, 10.1523/JNEUROSCI.0064-10.2010 · DOI
  110. Tversky, 1969, Intransitivity of preferences, Psychological Review, 76, 31, 10.1037/h0026750 · DOI · Paper page
  111. Valenzuela, 2013, Shelf space schemas: Myth or reality?, Journal of Business Research, 66, 881, 10.1016/j.jbusres.2011.12.006 · DOI
  112. Van der Lans, 2008, Eye-movement analysis of search effectiveness, Journal of the American Statistical Association, 103, 452, 10.1198/016214507000000437 · DOI
  113. Van der Lans, 2017, Eye movements during search and choice, vol. 254, 331, 10.1007/978-3-319-56941-3_11 · DOI
  114. Van Herpen, 2011, Front-of-pack nutrition labels. Their effect on attention and choices when consumers have varying goals and time constraints, Appetite, 57, 148, 10.1016/j.appet.2011.04.011 · DOI · Paper page
  115. Visschers, 2010, Health motivation and product design determine consumers' visual attention to nutrition information on food products, Public Health Nutrition, 13, 1099, 10.1017/S1368980009993235 · DOI
  116. Vogel, 2012, The dynamic capability view in strategic management: A bibliometric review, International Journal of Management Reviews, 27
  117. Wang, 2015, The journal of consumer research at 40: A historical analysis, Journal of Consumer Research, 42, 5, 10.1093/jcr/ucv009 · DOI
  118. Wang, 2008, Validity, reliability, and applicability of psychophysiological techniques in marketing research, Psychology and Marketing, 25, 197, 10.1002/mar.20206 · DOI
  119. Wästlund, 2015, Heuristics and resource depletion: Eye-tracking customers' in situ gaze behavior in the field, Journal of Business Research, 68, 95, 10.1016/j.jbusres.2014.05.001 · DOI
  120. Wedel, 2015, Attention research in marketing: A review of eye-tracking studies, 569
  121. Wedel, 2000, Eye fixations on advertisements and memory for brands: A model and findings, Marketing Science, 19, 297, 10.1287/mksc.19.4.297.11794 · DOI · Paper page
  122. Wedel, 2008, A review of eye-tracking research in marketing, vol. 4, 123, 10.1108/S1548-6435(2008)0000004009 · doi:10.1108/s1548-6435(2008)0000004009 · Paper page
  123. Yang, 2015, A bounded rationality model of information search and choice in preference measurement, Journal of Marketing Research, 52, 166, 10.1509/jmr.13.0288 · DOI
  124. Yoon, 2012, Decision neuroscience and consumer decision making, Marketing Letters, 23, 473, 10.1007/s11002-012-9188-z · DOI
  125. Yoon, 2006, A functional magnetic resonance imaging study of neural dissociations between brand and person judgments, Journal of Consumer Research, 33, 31, 10.1086/504132 · DOI · Paper page
  126. Zupic, 2015, Bibliometric methods in management and organization, Organizational Research Methods, 18, 429, 10.1177/1094428114562629 · DOI · Paper page

Metadata

Authors
Zuschke, N.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2020-04
Volume
111
Pages
305-320
ISSN
0148-2963
Cited by
68
References
22
Language
en
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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