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An Empirical Test of a General Theory of Problem-Solving
Title
An Empirical Test of a General Theory of Problem-Solving.
Creator
Hall, Justin, Shaw, Eric H., Florida Atlantic University, College of Business, Department of Marketing
Abstract/Description
The purpose of this research is to better understand how marketers and consumers solve problems. This research first reviews the problem-solving literature, discusses several areas of confusion related to problem-solving, and offers solutions. After resolving the confusion, this research then develops a theoretical model of problemsolving. Four hypotheses are derived from the model, and then empirically tested. The model states that the distinct cognitive domain of problem-solving begins with...
Show moreThe purpose of this research is to better understand how marketers and consumers solve problems. This research first reviews the problem-solving literature, discusses several areas of confusion related to problem-solving, and offers solutions. After resolving the confusion, this research then develops a theoretical model of problemsolving. Four hypotheses are derived from the model, and then empirically tested. The model states that the distinct cognitive domain of problem-solving begins with problem recognition. Given a problem, associative memory and associative activation provide a solution (H #1). This solution is either satisfactory or unsatisfactory. If satisfactory, the individual engages in the satisficing process and accepts the solution (H#2). If unsatisfactory, the individual engages in the decision-making process and searches for information related to an alternative solution (H #3). Thus, the difference between satisficing and decision-making is the search for information (H #4). Problemsolving ends when an intended solution is chosen. A pretest and two studies are conducted to test the four hypotheses. The Pretest demonstrated situations that elicited problem recognition. Study 1 tested hypothesis #1 and found that at least 75 percent of the time associative memory and associative activation provided a solution. Study 2 tested hypotheses #2, #3, and #4. Hypotheses #2 and #3 were tested using a two-way ANOVA, Chi-Square, and Point Biserial Correlation and hypothesis #4 was tested using an independent sample t-test and Point Biserial Correlation. Results of all empirical tests confirm each of the hypotheses, which in turn support the theoretical model.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004807, http://purl.flvc.org/fau/fd/FA00004807
Subject Headings
Game theory., Problem solving., Decision making., Management science., System theory., Creative thinking., Creative ability in business.
Format
Document (PDF)
An Empirical Test of a Theoretical Model of Surprise in Marketing
Title
An Empirical Test of a Theoretical Model of Surprise in Marketing.
Creator
Toteva, Irina T., Shaw, Eric H., Florida Atlantic University, College of Business, Department of Marketing
Abstract/Description
The purpose of this research was to construct and empirically test a theoretical model of surprise and its impact on consumer affect and behavior. First the literature on the emotion of surprise was reviewed with particular emphasis on classification and process models of surprise. A theoretical model of surprise was constructed. A new concept called motivated meaning integration (MMI) was proposed. MMI takes place in a setting that includes the interaction of the appraisal process with...
Show moreThe purpose of this research was to construct and empirically test a theoretical model of surprise and its impact on consumer affect and behavior. First the literature on the emotion of surprise was reviewed with particular emphasis on classification and process models of surprise. A theoretical model of surprise was constructed. A new concept called motivated meaning integration (MMI) was proposed. MMI takes place in a setting that includes the interaction of the appraisal process with factors such as environmental uncertainty and consumers’ individual differences. These interactions impact outcomes such as consumer affect and buying behavior. Ten hypotheses were derived from the theoretical model and empirically tested using several pretests and two main studies. The present research designed and evaluated several surprise manipulations and MMI manipulation checks to effectively test the proposed relationships. Participants were recruited from Amazon Mechanical Turk (Mturk). Although many of the hypotheses were not supported, some important ones were. The results provide some support that a consumer’s sense of personal control interacts with MMI to impact a consumer’s likelihood of choosing unknown or mystery products ( e.g. products in a known category such as beauty products but the actual products are selected by the company). Specifically, consumers who experienced a low sense of personal control (compared to a high sense personal control) were more likely to choose mystery products (vs. objectively similar known products) after they encountered surprise with mystery (vs. with known) elements. The results also provided some support that productivity orientation interacts with surprise appraisal to impact consumer affect. Particularly, consumers with high productivity orientation (vs. low) were more likely to experience higher positive affect after encountering surprise with mystery (vs. with known) elements. The primary implication for theory involves refining the conceptualization of surprise appraisal, especially fast MMI, and adopting adequate measure for testing it. The most relevant implication for marketing management is to offer products with mystery elements because consumers are more likely to choose additional mystery products. If this dissertation stimulates others to pursue research on surprise theory in marketing, my efforts to continue developing scientific theory will be worth it.
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Date Issued
2018
PURL
http://purl.flvc.org/fau/fd/FA00013102
Subject Headings
Marketing., Surprise., Empirical Research.
Format
Document (PDF)
FAU Climate Change Initiative Priority Theme: Research, Engineering, and Adaption to a Change Climate
Title
FAU Climate Change Initiative Priority Theme: Research, Engineering, and Adaption to a Change Climate.
Creator
Berry, Leonard, Koch, Marguerite, Center for Environmental Studies, Benscoter, Brian, Comas, Xavier, Devlin, Donna, Fadiman, Maria, Gerstein, E., Herzing, Denise L., Hindle, Tobin, Milton, Sarah L., Oleinik, Anton E., Proffitt, C. Edward, Restrepo, Jorge I., Root, Tara L., Wyneken, Jeanette, Xie, Zhixiao, Zhang, Xing-Hai, Esnard, Ann-Margaret, Mitsova, Diana, Murley, J., Vos, J., Escaleras, Monica, Mehallis, M., Shaw, Eric H., Hardman, Guillermo [John], Lambert, Julie, Thomas, G., Arockiasamy, Madasamy, Bloetscher, Frederick, Carvalho, G., Dhanak, Manhar R., Frisk, George V., Kaisar, Evangelos I., Kalva, Hari, Meeroff, Daniel E., Rodriguez, Jarice, Scarlatos, Panagiotis (Pete) D., Shankar, Ravi, Teegavarapu, Ramesh, Brown, Clifford T., McAfee, Francis, Widener, Patricia, Dalgleish, Fraser R., Hanisak, M. Dennis, McMulloch, S., O'Corry-Crowe, Gregory, Pomponi, Shirley A., Reed, John K., Scarpa, John, Voss, Joshua, Heimlich, Barry N., Alvarez, R., Jolley, J., Edwards, A., Charles E. Schmidt College of Science, Harbor Branch Oceanographic Institute, College of Business, Dorothy F. Schmidt College of Arts and Letters, College of Education, College of Engineering and Computer Science
Date Issued
2010
PURL
http://purl.flvc.org/fau/fd/FA00003457
Format
Citation