Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach

This dissertation represented an initial effort to model spousal family purchase decision behavior in terms of spousal coercion propensity. Two major issues concerning how spouses resolve conflicts were investigated: (1) What are the spousal behavioral interactions in household conflict resolution...

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Main Author: Su, Chenting
Other Authors: Marketing
Format: Others
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/40012
http://scholar.lib.vt.edu/theses/available/etd-101999-192730/
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-400122020-09-29T05:35:07Z Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach Su, Chenting Marketing Brinberg, David L. Littlefield, James E. Sirgy, M. Joseph Fern, Edward F. Ye, Keying Relative Influence Behavioral Interaction Spousal Decision Behavior Dynamic Simultaneous Equations This dissertation represented an initial effort to model spousal family purchase decision behavior in terms of spousal coercion propensity. Two major issues concerning how spouses resolve conflicts were investigated: (1) What are the spousal behavioral interactions in household conflict resolution processes? (2) What are the temporal aspects of spousal family decision behaviors? It was hypothesized that spouses tend to not reciprocate their partners' uses of coercive influence strategies in a decision, given their avoidance of conflict. Also, spouses who used more power in the past tend to use less power in order to maintain equity in the long-term marital relationship. It was also hypothesized that spousal coercion propensity are contingent upon marital power, love, and preference intensity. Marital power and preference intensity are positively related to spousal coercion propensity while love predicts weaker coercive decision behavior. Consistently, it was proposed that coercive influence strategies are more effective in the short run, given the spouses' conflict avoidance and sense of equity in marriage. Thus, spouses who used coercive strategies are more satisfied with the decision outcome but less satisfied with the decision process. A dynamic simultaneous equations model (DSE) was developed to test the major hypotheses of this dissertation. The model was calibrated by means of an Autoregressive Two-Stage Least Square (A2SLS) approach. MANOVAs and a set of binary logistic regressions and linear multiple regressions were used to test the other hypotheses. The empirical study involving a random sample provided adequate support for the model. The implications of the findings, theoretical and managerial alike, limitations of the study, and future research directions were discussed. Ph. D. 2014-03-14T21:21:40Z 2014-03-14T21:21:40Z 1999-08-10 1999-10-19 2000-10-22 1999-10-22 Dissertation etd-101999-192730 http://hdl.handle.net/10919/40012 http://scholar.lib.vt.edu/theses/available/etd-101999-192730/ 1etd.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic Relative Influence
Behavioral Interaction
Spousal Decision Behavior
Dynamic Simultaneous Equations
spellingShingle Relative Influence
Behavioral Interaction
Spousal Decision Behavior
Dynamic Simultaneous Equations
Su, Chenting
Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach
description This dissertation represented an initial effort to model spousal family purchase decision behavior in terms of spousal coercion propensity. Two major issues concerning how spouses resolve conflicts were investigated: (1) What are the spousal behavioral interactions in household conflict resolution processes? (2) What are the temporal aspects of spousal family decision behaviors? It was hypothesized that spouses tend to not reciprocate their partners' uses of coercive influence strategies in a decision, given their avoidance of conflict. Also, spouses who used more power in the past tend to use less power in order to maintain equity in the long-term marital relationship. It was also hypothesized that spousal coercion propensity are contingent upon marital power, love, and preference intensity. Marital power and preference intensity are positively related to spousal coercion propensity while love predicts weaker coercive decision behavior. Consistently, it was proposed that coercive influence strategies are more effective in the short run, given the spouses' conflict avoidance and sense of equity in marriage. Thus, spouses who used coercive strategies are more satisfied with the decision outcome but less satisfied with the decision process. A dynamic simultaneous equations model (DSE) was developed to test the major hypotheses of this dissertation. The model was calibrated by means of an Autoregressive Two-Stage Least Square (A2SLS) approach. MANOVAs and a set of binary logistic regressions and linear multiple regressions were used to test the other hypotheses. The empirical study involving a random sample provided adequate support for the model. The implications of the findings, theoretical and managerial alike, limitations of the study, and future research directions were discussed. === Ph. D.
author2 Marketing
author_facet Marketing
Su, Chenting
author Su, Chenting
author_sort Su, Chenting
title Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach
title_short Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach
title_full Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach
title_fullStr Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach
title_full_unstemmed Modeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approach
title_sort modeling spousal family purchase decision behavior: a dynamic simultaneous equations approach
publisher Virginia Tech
publishDate 2014
url http://hdl.handle.net/10919/40012
http://scholar.lib.vt.edu/theses/available/etd-101999-192730/
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