Adams-Tyler, L (2015) Examining community attitudes toward manufactured housing. DBA thesis, Walden University, USA.
Abstract
Despite the need for affordable housing, consumers have failed to recognize manufactured housing as a viable alternative to site-built housing. The decline in market share for manufactured housing and subsequent decrease in sales has threatened the sustainability of manufacturers, retailers, suppliers, and support organizations. The purpose of this correlational study was to determine the extent that respondents’ demographic and socioeconomic characteristics, perceptions of manufactured home characteristics, and perceptions of manufactured home occupants and neighborhood characteristics predicted the acceptance of manufactured homes. The model of acceptance of manufactured homes provided the theoretical framework for the study. Data were collected from 2 surveys distributed among adult learners (n = 204) enrolled in a nontraditional degree-seeking program at university campuses in west Tennessee. One survey applied to single-section manufactured homes and another survey instrument applied to double-section homes. Correlation and multiple regression analyses techniques tested the hypotheses. Six of the 12 independent variables emerged as moderate predictors of manufactured home acceptance (R2 = .217), which were respondents’ housing value, perceived manufactured home occupant behavior, perceived educational levels of manufactured home occupants, respondents’ household size and composition, land-use mix, and respondents’ neighborhood population range. The research findings may contribute to social change through providing a foundation for future research on variables that influence consumer perceptions about affordable housing choices.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Lopez, J |
| Uncontrolled Keywords: | market; population; sustainability; homes; affordable housing; multiple regression; supplier |
| Index terms: | population, affordable housing, multiple regression analysis, occupant behaviour, market share, independent variable, household, program, survey, multiple-regression, land, manufacturer, housing |
| Subjects: | practitioner, data collection methods, construction type, market analysis, demography, software systems, real estate economics, health behaviours and lifestyles, statistical analysis |
| Topics: | Research Practice, Urban Studies, Construction Technology, Roles and Professions, Digital Applications |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here