Study on Factors Affecting Buying Decision of Customers and Impact of CRM in Real Estate Sector with special reference to Indore City

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ratish C Gupta
Keyword(s):  
Real Estate ◽  
Customer Relationship Management ◽  
Customer Relationship ◽  
Research Report ◽  
Factors Affecting ◽  
The Real Estate ◽  
Customer Base ◽  
Real Estate Sector ◽  
The Impact ◽  
Shift Gears

In India, real estate is the second largest employer after agriculture and is stated to grow at 30 per cent over the next decade. Reacting to an increasingly updated customer base and bearing in mind the aspect of globalisation, Indian real estate developers will have to shift gears and accept fresh challenges. This research report has been carried out so as to assess the impact of customer relationship management on customer retention with reference to real estate sector. Various research studies have been reviewed so as to assess the present state of CRM adoption within the real estate sector and then recommendations have been put forth. Thus, this research report is a comprehensive briefing with respect to how can real estate organizations benefit from CRM and how can adoption of CRM be augmented in this sector for the benefit of organizations as well as consumers.

Factors Affecting Design Decisions for Customer Relationship Management Data Warehouses

2011 ◽  
pp. 159-191
Author(s):  
Colleen Cunningham ◽  
Il-Yeol Song
Keyword(s):  
Customer Relationship Management ◽  
Data Warehousing ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Warehouses ◽  
Key Factors ◽  
Design Decisions ◽  
Factors Affecting ◽  
Percent Success ◽  
The Impact

Customer relationship management (CRM) is a strategy that integrates concepts of knowledge management, data mining, and data warehousing in order to support an organization’s decision-making process to retain long-term and profitable relationships with its customers. Key factors for successfully implementing CRM (e.g., data quality issues, organizational readiness, customer strategies, selection of appropriate KPIs, and the design of the data warehouse model) are discussed with the main thrust of the chapter focusing on CRM analyses and the impact of those analyses on CRM data warehousing design decisions. This chapter then presents a robust multidimensional starter model that supports CRM analyses. Additional research contributions include the introduction of two new measures, percent success ratio and CRM suitability ratio by which CRM models can be evaluated, the identification/ classification of CRM queries, and a preliminary heuristic for designing data warehouses to support CRM analyses.

Study on the Influence Factors of Real Estate Price Based on Regression Model — The Case of Jilin City

2011 ◽  
Vol 117-119 ◽  
pp. 1547-1551
Author(s):  
Xi Li Tan ◽  
Han Zhou ◽  
Ying Song Xu
Keyword(s):  
Real Estate ◽  
Regression Model ◽  
Influence Factors ◽  
Multiple Linear Regression Model ◽  
Factors Affecting ◽  
The Real Estate ◽  
Real Estate Price ◽  
Spss Software ◽  
Countermeasures And Suggestions ◽  
The Impact

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.

scholarly journals The Influence of Energy Certification on Housing Sales Prices in the Province of Alicante (Spain)

2020 ◽  
Vol 10 (20) ◽  
pp. 7129
Author(s):  
Maria-Francisca Cespedes-Lopez ◽  
Raul-Tomas Mora-Garcia ◽  
V. Raul Perez-Sanchez ◽  
Pablo Marti-Ciriquian
Keyword(s):  
Real Estate ◽  
Ordinary Least Squares ◽  
Real Estate Market ◽  
European Countries ◽  
Least Squares Regression ◽  
The Real Estate ◽  
Real Estate Sector ◽  
Final Sample ◽  
Energy Labelling ◽  
The Impact

This work examines the implementation of energy labelling by the residential real estate sector. First, it considers the interest by real estate sellers in not publishing energy certification information, and then, it quantifies the impact of the housing’s energy certification on the asking price. The results are compared with those obtained from other studies conducted in distinct European countries. The study’s final sample was collected, including information from 52,939 multi-family homes placed on the real estate market in the province of Alicante (Spain). One-way analysis of variance (ANOVA) was used, as well as an ordinary least squares regression model. This study highlights the fact that, in the current market, owners and sellers have no incentive to reveal the energy certification, since this permits them to sell homes with low energy ratings at prices similar to those of more energy efficient homes. In addition, it was found that homes with better energy ratings (letters A and B) are not sold at higher prices than homes with other rating letters, unlike the case of other European countries that were examined.

Tokenomics: A new opportunity in the Real Estate business? A qualitative approach to crowdfunding and blockchain interaction

First Monday ◽  
2021 ◽  
Author(s):  
Fabio Creta ◽  
Francesca Tenca
Keyword(s):  
Real Estate ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Technology Innovations ◽  
Real Estate Sector ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Alternative Finance ◽  
The Impact

The article discuss how platforms administrators operating within the ecosystem of real estate crowdfunding could implement technology innovations such as blockchains or the use of digital tokens, and list the benefits that could be obtained by real estate sector. We introduce an exploratory analysis of multiple case-studies, consisting of twelve businesses that manage real estate crowdfunding platforms. The information gathered through interviews gives an idea of how the shared opinion of professionals in the trade is identified with factors and variables that impact on the opening of this alternative finance segment towards technology innovations that may bring radical changes to the real estate industry. In terms of implications, this is one of the first studies exploring the adoption of innovative technologies by real estate crowdfunding platforms and, as far as we know, it is the first to analyse the impact of tokenization.

iSpace: principles for a phenomenology of space user in smart real estate

2019 ◽  
Vol 38 (4) ◽  
pp. 271-290
Author(s):  
Patrick Lecomte
Keyword(s):  
Real Estate ◽  
Smart Cities ◽  
Hedonic Pricing ◽  
Future Research ◽  
Smart Environments ◽  
Content Type ◽  
The Real Estate ◽  
Real Estate Sector ◽  
Smart Technologies ◽  
The Impact

Purpose As smart technologies become an integral part of real estate in smart cities, the purpose of this paper is to explore the impact of ubiquitous computing on space users in smart real estate. Design/methodology/approach The analysis builds on two fields of knowledge rarely referenced in real estate studies: computer sciences and social sciences. The paper starts by analysing the idiosyncrasies of a new type of space user in smart real estate, known as the Cyber-dasein in reference to Heidegger’s phenomenology. The Cyber-dasein serves as an archetypical space user in smart environments. Findings The paper introduces digital-time as a new realm of real estate, and discusses the use of “experienced utility” in hedonic pricing models of smart real estate. It concludes by advocating a multidisciplinary collaborative approach for future research on real estate in smart environments. Practical implications There is a need for the real estate sector to decide on a metric for the new digital dimension of real estate owing to the implementation of smart technologies in the built environment. Originality/value This is the first research paper on this important topic. It is totally original and new.

A study on the mediating effect of residential loans on total real estate loans of banks in India

2019 ◽  
Vol 37 (5) ◽  
pp. 455-469
Author(s):  
Tanu Aggarwal ◽  
Priya Solomon
Keyword(s):  
Real Estate ◽  
Structural Model ◽  
Mediation Effect ◽  
Content Type ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Sector ◽  
Commercial Loans ◽  
Public And Private Sector ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of residential and commercial loans on total real estate sector loans by using partial least square–structured equation modelling (PL–SEM) method. The residential loans as a mediator have been used to know the mediation effect between commercial and total real estate loans of banks in India. The residential loans as a mediator govern the relationship between commercial loans and total real estate loans in India. Real estate sector development is a lucrative opportunity for India. The real estate sector plays a major role in shaping economic conditions of the individuals, firms and family. Design/methodology/approach The research is descriptive in nature. The study on residential loans, commercial loans and total real estate loans has been taken into consideration, and on the other hand the measurement and structural model have been employed to the study the impact of residential loans and commercial loans on total real estate loans in India by using PL–SEM. The residential loans as a mediator have been taken to study the mediation effect of the relationship between commercial loans and total real estate loans in India. Findings The outcome of the structural model that is bootstrapping technique shows that there is an impact of residential and commercial loans by public and private sector banks on total real estate sector development in India. The residential loans show the full mediation effect between commercial loans and total real estate loans as the value of variation accounted for (VAF) is more than 1.93 which shows residential loans govern the nature of variable between commercial loans and total real estate loans. Practical implications The public and private sector banks are contributing to the real estate sector development in India which increases the economic growth of the country. The mediation analysis shows that residential loans are an important aspect between commercial and total real estate loans in India as the demand for residential housing is more in India. The increasing role of banks in the real estate sector strengthens the financial capability in the real estate sector market, and the property buyers will able to purchase more property which leads to increasing demand for real estate sector. Originality/value The research paper is original, and PL–SEM has been used to find the results.

The dichotomy of customer relationship management and variety-seeking behaviour in the hotel sector

2018 ◽  
Vol 25 (4) ◽  
pp. 444-461 ◽  
Author(s):  
Maduka Udunuwara ◽  
Dale Sanders ◽  
Hugh Wilkins
Keyword(s):  
Customer Relationship Management ◽  
Word Of Mouth ◽  
Relationship Management ◽  
Customer Relationship ◽  
Variety Seeking ◽  
Factors Affecting ◽  
Intrinsic Factors ◽  
Positive Word Of Mouth ◽  
The Impact ◽  
The Relationship

Customer relationship management (CRM) and variety-seeking behaviour (VSB) are paradoxical constructs due to their contradictory intentions. CRM is implemented by organizations to retain customers and generate loyalty while VSB by customers can result in switching. This study addresses the question ‘what is the impact of VSB on the relationship between CRM and its outcomes: repeat visitation and positive word of mouth?’ Following analysis of 400 questionnaire responses from Australian leisure travellers who have visited the same international destination two or more times, the findings indicate that CRM leads to word-of-mouth recommendations, but not repeat visitation. Through multi-group moderation analysis, it was further identified that the outcomes of CRM do not vary based on the degree of VSB of travellers, and CRM leading to repeat visitation is fully mediated by the intrinsic factors affecting VSB, while CRM does have a significant influence on VSB.

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