影响消费者购房态度的市场因素调查:基于孟加拉国视角的机会分析

M. Kamal, Omar Sarker, Shah Alam Kabir Pramanik
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引用次数: 8

摘要

本研究调查了一直在改变孟加拉国房地产买家态度的市场因素,并最终为房地产开发商和营销人员创造了机会。本文还考察了市场因素与购买态度之间的关系。本研究旨在调查顾客的购买态度对购买意愿的影响。在设计本研究的问卷时,总共考虑了24个属性。本次调查采用问卷调查法,调查对象为200人,回复率为76.5%。最初,探索性因素分析已经使用SPSS(版本21)进行指导。我们探索了文化变化、土地问题、城市化和人口压力四大市场因素,最终提高了建筑材料的价格水平,这些因素作为客户购买态度的先决条件,为行业创造了机会。在此之后,进行了CFA来确认因素。结构方程模型(SEM)已被用于测试所提出的模型和假设的结构之间的关系。研究发现,土地问题、城市化和人口压力为房地产行业创造了机会,除了文化的变化和价格水平的提高外,其他因素对客户的购买态度也有显著影响。研究还发现,顾客的购买态度对购买意愿有很强的影响。所提出的模型对数据也具有可接受的拟合。房地产开发商、营销人员、政策制定者可以利用这些发现来更好地理解、细分和满足客户。因此,研究结果将有助于建立成功的营销策略以及实现该行业的可持续发展。这项研究可能受到其对孟加拉国房地产市场地理部分的关注的限制。
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Investigation of Market Factors That Affect Customers' Buying Attitude towards Apartment Buying: An Opportunity Analysis from Bangladesh Perspective
This study has investigated market factors that have been changing the attitude of Real Estate buyers in Bangladesh and ultimately creating the opportunities for Real Estate developers and marketers. The paper also has examined relationships among the market factors and buying attitude. This study has aimed at investigating the impact of customers’ buying attitude on buying intention. Total twenty-four (24) attributes have been taken into consideration in designing questionnaire for the study. A questionnaire survey method is used with 200 respondents and response rate of 76.5 percent. Initially an exploratory factor analysis has been directed using SPSS (version 21). We have explored four market factors where cultural changes, land problem, urbanization and population pressures and finally raising prices level of building materials that have acted as antecedents of customers’ buying attitude and created opportunities for the industry. After that, CFA has been carried out to confirm the factors. Structural Equation Modeling (SEM) has been used to test both the proposed model and hypothesized relationships among the constructs. It has found that land problem, urbanization and population pressures have created opportunities for Real Estate industry and that have significant impact on customers’ buying attitude except the cultural changes and raising price level. It has also found that buying intention is strongly influenced by buying attitude of the customers. The proposed model also has an acceptable fit to the data. Real Estate developers, marketers, policy makers can use the findings to better understand, segment and satisfy the customers. Therefore the findings of the study will definitely help in building successful marketing strategies as well as achieving sustainable development of the sector. The study may be limited by its focus on a geographic section of the Bangladeshi Real Estate market.
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