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

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dc.contributor.authorSu, Chentingen
dc.contributor.committeecochairFern, Edward F.en
dc.contributor.committeecochairYe, Keyingen
dc.contributor.committeememberBrinberg, David L.en
dc.contributor.committeememberLittlefield, James E.en
dc.contributor.committeememberSirgy, M. Josephen
dc.contributor.departmentMarketingen
dc.date.accessioned2014-03-14T21:21:40Zen
dc.date.adate1999-10-22en
dc.date.available2014-03-14T21:21:40Zen
dc.date.issued1999-08-10en
dc.date.rdate2000-10-22en
dc.date.sdate1999-10-19en
dc.description.abstractThis 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.en
dc.description.degreePh. D.en
dc.identifier.otheretd-101999-192730en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-101999-192730/en
dc.identifier.urihttp://hdl.handle.net/10919/40012en
dc.publisherVirginia Techen
dc.relation.haspart1etd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectRelative Influenceen
dc.subjectBehavioral Interactionen
dc.subjectSpousal Decision Behavioren
dc.subjectDynamic Simultaneous Equationsen
dc.titleModeling Spousal Family Purchase Decision Behavior: A Dynamic Simultaneous Equations Approachen
dc.typeDissertationen
thesis.degree.disciplineMarketingen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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