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International Journal of Business and Management Invention
ISSN (Online): 2319 – 8028, ISSN (Print): 2319 – 801X
www.ijbmi.org || Volume 5 Issue 6 || June. 2016 || PP—01-05
www.ijbmi.org 1 | Page
Strategies for product improvement: Tracing the attitude of real
estate mobile application customers at Coimbatore district.
Dr B Prasanna Soundari.
1
, Ms LijishaJose 2
1,2
(Management, G R Damodaran Academy of Management, Coimbatore – 641062. India)
ABSTRACT: Product improvement formerly a concept of ingenuity and research has realigned its orientation
to the changing scenario and is concerned with providing a solution to customer needs and wants. The
customers of the 21st
century are not only knowledgeable but technology driven demanding a perfect product in
a prompt manner nevertheless at reasonable price. The impulsive customer also tends to be rational when
investments are high as in the case of real estate sector. Technology infusion is just a click away for the
marketers of the digital era. The universal truth that 90% of customers browse the Internet before a purchase is
acknowledged by the National Association of Realtors. Moreover mobile application the rage among the
consumer’s centres on user interface mandated by the customer dictates. Customer driven strategies the norm of
knowledge economy is the process of responding to data mining or precisely opinion mining. Products cannot
sustain in a competitive arena if customers are excluded and so feedback from the real estate customers
regarding mobile application was collected using an explorative study. The research confining to Coimbatore
district with respect to mobile application forms a premise to design a winning product.
Keywords: Customer Feedback, Interface Design, Mobile Application, Product Improvement, Strategy.
I. INTRODUCTION
The real estate business, a capital intensive sector has started to occupy a prominent place on the digital pages
of websites and mobile applications. Speculations regarding that the online real estate tools might one
day replace the agents/brokers completely exist. This may sound a bit disturbing for the real estate agents who
haven’t already gone "digital". Interest in real estate mobile application development is not surprising in the era
of digitalisation. The speed with which technology changes commands feedback from the customers to provide
a user friendly product that absorbs revisions. The solution providers catering to the real estate sector definitely
gains from the customer insights.
Technology driven customer relations is not a competitive advantage, rather a strategic necessity in the new
media age. Many real estate companies have adopted to mobile application but at Coimbatore a metro city in
Tamilnadu, such technology usage by the local sellers/brokers are at the nascent stage. Products can succeed in
the market only when the needs/wants of the customers are understood properly and embedded in the product
development process (Schilling & Hill, 1998). The feedback from customers will help in structuring a product
according to their preference giving way for the local players to hold their share against being unnerved by the
market giants (Underwood, 2015).Few mobile application developers with base at Coimbatore are Mindnotix,
Mindmade, PG Software and Nishta solutions representing minimal rivalry at the introduction stage of the local
software solution providers.
II. MATERIALS AND METHODS
The market research undertaken works towards helping the solution providers to introduce or improve products
based on the real estate customer needs and wants. The research design considered was explorative in nature and
the feedback pertains to aesthetics, security, technology, information characteristics, support services and
general perception of the customer with respect to the mobile application. The data collection tool was a
questionnaire. These feedback forms were administered to the customers of the real estate sector who had used
mobile application. The respondents in most of the cases were asked to rank their desires, a case of close ended
questions. Closed ended questions also involved Likert type scaling methodologies without employing a neutral
option (Garlang & Ron, 1991). The impetus behind not using a neutral response was to avoid the escapism
technique of the respondents who actually slightly lean toward a favorable or unfavorable response. With an
even number of options respondents are forced to decide whether they think favorably or negatively towards an
item.
2.1.The sampling process
A. Population: Coimbatore Real Estate Mobile Application Customers
Strategies for product improvement: Tracing the attitude of real estate mobile application customers..
www.ijbmi.org 2 | Page
 Elements: Real Estate Mobile Application Customers
 Sampling Units: Residential/Corporate Area then Customers
 Extent: Coimbatore District
 Time: May 19, 2015 – May 28, 2015
B. Sampling Frame: Coimbatore Road Map
C. Sampling Method: Non Probability Convenience Sampling
D. Sample Size: 105 decided by ad hoc method
E. Sample Plan: Non Probability Convenience Sampling adopted eliminated the problem of missing samples
and in addition before the questioning session it was ascertained that the respondents had used real estate
application.
III. RESULTS AND DISCUSSION
MS Excel was used to carry out percentage and weighted average analysis. Demographic details (Table: 1)
highlight that 66.7 % of the respondents are male while 43.8 % of the respondents earn an income of above
Rs.40, 000 per month and majority (32.4%) of the respondents belonged to the professional class. Moreover
33.3% of the mobile application users are of the age group of 25-34. Having chosen an exploratory design to
gain insights on consumer inclinations and to avoid invasion of privacy the reflections on demographic details
were restricted.
Table 1: Distribution of the respondents based on the demographic factors.
Demographic Factors No. of respondents Percentage (%)
Gender
Male 70 66.7
Female 35 33.3
Total 105 100
Monthly
Income
Rs.10,000-Rs.20,000 19 18.1
Rs.20,000- Rs.30,000 16 15.2
Rs.30,000- Rs.40,000 24 22.9
Above Rs.40,000 46 43.8
Total 105 100
Age
18-25 12 11.4
25-35 35 33.3
35-45 26 24.7
45-55 19 18.0
Above 55 13 12.3
Total 105 100
Occupation
Professional 34 32.4
Business 32 30.5
Students 10 09.5
Others 29 27.6
Total 105 100
The study concentrates on how the respondents perceive the existing real estate application with respect to
technical and effectiveness aspects necessitating the Likert type scale. Further the expectations from a new
version are gauged by employing ranking methodology.
Table 2: Distribution of the respondents based on their satisfaction towards existing technologies and their need
for information security.
Technology/Security No. of Respondents Percentage (%)
Existing
Technologies
Highly Satisfied 26 24.8
Satisfied 52 49.5
Highly Dissatisfied 14 13.3
Dissatisfied 13 12.4
Total 105 100
Need:
Information
Security
Strongly Agree 52 49.5
Agree 35 33.3
Disagree 13 12.4
Strongly Disagree 05 04.8
Total 105 100
Strategies for product improvement: Tracing the attitude of real estate mobile application customers..
www.ijbmi.org 3 | Page
Security is an innate quality character of a mobile application (Ivan&Zamfiroiu, 2011). The technological
aspects as per the present study is all about how the mobile application helps in seamless communication and
effective work as perceived by the users and not about resources and tools used to develop the application.
Scrutiny of technology and security aspects (Table: 2) identified that 49.5 % of the respondents strongly agree
that security is critical for the application and a similar 49.5 % of the respondents are satisfied with the
technological aspects of the existing applications.
Information is qualified as good if it is timely, accurate, relevant, worth its cost and just barely sufficient. The
criticality of information quality is highly pronounced in a management information system environment (Lee et
al., 2002). Information characteristics data (Table:3) disclose that 41 % of the respondents strongly agree that
information updation is necessary and 45.7 % of the respondents agree that lease and property information are
indispensable for an application. The content dimension of information verifies the exclusive details required by
consumers. Table: 4 reveal that majority of the respondents consider listing of real estate to be of paramount
importance as it results in flawless presentation of information.
Table 3: Distribution of the respondents based on their opinion towards the need for lease and property details
and information updation.
Information Characteristics No. of respondents Percentage (%)
Need:
Leaseand
property
details
Strongly Agree 35 33.3
Agree 48 45.7
Disagree 14 13.3
Strongly Disagree 08 07.6
Total 105 100
Information
Updation
Strongly Agree 43 40.9
Agree 35 33.3
Disagree 24 22.9
Strongly Disagree 03 02.9
Total 105 100
Table 4: Distribution of the respondents based on the information they considered as critical.
Critical Information No. of respondents Percentage (%)
Social &Media Feeds 23 21.9
Listing 36 34.3
Special Offers 21 20.0
Descriptions 18 17.1
Others 07 06.7
Total 105 100
The way a mobile application looks and operates i.e. the aesthetics has to appease the users demanding a
thorough understanding of the user expectations. Handling service interruptions from customer angle provides
efficient customer support. The importance attached to customer needs and wants had ensured the use of ranking
scales to identify the prioritisation of customers regarding the mobile application’s design trait and the service
support anticipated. Ranking questions compare individual elements to each other resulting in a unique value
for the items involved. The design traits assessed are “simple”,” bold”, “intuitive” and “attractive”. Simple
design is one which presents no difficulty, bold attributes to distinct and pronounced design, intuitive relates to
ease of use and comprehension while attractiveness reflects pleasing and tempting aspect. Table: 5 summarises
the rank awarded by the respondents to these aspects of the product.
Table 5: Distribution of the respondents based on the priority they attach to mobile application design trait.
Rank
Design Trait
1 2 3 4 Total
Simple 38 25 20 22 105
Bold 29 28 20 28 105
Intuitive 29 25 35 16 105
Attractive 09 27 30 39 105
Table: 6 indicate the service support a customer perceives as adding value to the mobile application. Property
search aids to seek information carefully and thoroughly, mortgage calculation conveys information on interest
and rights, updates assists the prompt indication of revisions regarding real estates and estimates relates to the
price.
Strategies for product improvement: Tracing the attitude of real estate mobile application customers..
www.ijbmi.org 4 | Page
Table 6: Distribution of the respondents based on the priority they attach to mobile application service support.
Rank
Application Support
1 2 3 4 Total
Property search 18 30 33 24 105
Mortgage calculation 26 23 18 38 105
Updates 51 27 12 15 105
Property estimates 10 25 42 28 105
The evaluation made within the mind of the respondents and transformed as ranks are estimated by use of
weighted average. The table: 7 and table: 8 has employed a weight of 4 for rank 1, a weight of 3 for rank 2, a
weight of 2 for rank 3 and a weight of 1 for rank 4. Weighted average analysis (Table: 7) reveal that the
customers prefer simple and intuitive application as these aspects are awarded an average of 2.75 and 2.63
respectively. Additionally table: 8 projects updation of data as the major support service anticipated with an
average of 3.02 while property estimates acquired a back seat with an average of 2.21.
Table 7: Weighted average of the customer priority with regard to the design of a real estate mobile application.
Rank
Design Aspect
1 2 3 4 Total Weighted
Average
Weights 4 3 2 1 - -
Simple Frequency 38 25 20 22 105 -
Scores 152 75 40 22 289 2.75
Bold Frequency 29 28 20 28 105 -
Scores 116 84 40 28 268 2.55
Intuitive Frequency 29 25 35 16 105 -
Scores 116 75 70 16 277 2.63
Attractive Frequency 09 27 30 39 105 -
Scores 36 81 60 39 216 2.05
Table 8: Weighted average of the customer priority with regard to the service support expected from a real
estate sector mobile application.
Rank
Service Expected
1 2 3 4 Total Weighted Average
Weights 4 3 2 1 - -
Property search Frequency 18 30 33 24 105 -
Scores 72 75 66 24 237 2.25
Mortgage calculation Frequency 26 23 18 38 105 -
Scores 104 84 36 38 262 2.49
Updates Frequency 51 27 12 15 105 -
Scores 204 75 24 15 318 3.02
Property estimates Frequency 10 25 42 28 105 -
Scores 40 81 84 28 233 2.21
The mobile application for the local Coimbatore market is at the introduction stage and is characterised by low
sales and relatively less competition. The marketing strategies prescribed for introduction stage emphasis on
basic product, increased awareness and inducing trails (Kotler etal., 2012). The analysis of user perspective
indicates that security and updation are the critical success factors relating to technological issues. The
respondents also pin down simplicity as a key leverage factor with respect to the design attribute. The product
improvement strategies that adheres to customer priorities are the one that are successful (Bhuiyan, 2011).It is
remarkable that the updates are the key information characteristic as well as the most sought after service
support from the mobile application. Communication being a driving force leading to the success of real estate
agency its critical feature, updation has to be considered in earnest (Susan, 2002). Real estate mobile application
have met the challenge of the industry only half way and feedback at frequent intervals provides for continuous
improvement a move towards total quality management. The perception of the respondents forms the premise
for strategic actions.
Strategies for product improvement: Tracing the attitude of real estate mobile application customers..
www.ijbmi.org 5 | Page
IV. CONCLUSION
Technological innovations are playing a significant role in every phase of human life and human interaction
with machines has become essential in the service sectors. Smart phones often serve as a go-to source for
staying informed (Smith, 2015). Digital environment is now integrating disparate sources of information, at low
cost and at large scale, for many new domains. The challenge for real estate entities is to reduce the risk of
customers when depending on technology instead of humans. Simple design, fool proof security and prompt
information service are the wants and desires of a customer regarding mobile application as understood from the
customer feedback.
It is the responsibility of the real estate enterprises to have a separate team to take care of the authenticity and
updation of the information published while the solution providers should concentrate on simplicity of the
application and security of the information to provide efficient user interface. The winning strategy of a mobile
application as prescribed by the consumers of Coimbatore largely rests on “Learning the art of developing
simple design that circumvents information leaks”.
REFERENCES
[1]. Bhuiyan N, A framework for successful new product development, Journal of Industrial Engineering and Management, 4(4),
2011, 746-770.
[2]. Garland R, The mid-point on a rating scale: is it desirable? Marketing Bulletin, 2(3), 1991, 66-70.
[3]. Ivan I and Zamfiroiu A, Quality Analysis of Mobile Applications, Informatica Economica Journal, 5(3), 2011,136-152.
[4]. Kotler P, Keller K, Koshy A and Jha M, Marketing Management a South Asian Perspective (India : Prentice Hall, 2012).
[5]. Lee Y, Strong D, Kahn B and Wang R. Y, AIMQ: A Methodology for Information Quality Assessment, Information &
Management, 40(2), 2002, 133-146.
[6]. Schilling M A and Hill C W L, Managing the new product development Process, Academy of Management Executive.12(3), 1998,
67-81.
[7]. Smith A (2015), Usage and Attitude towards Cell Phones. Retrieved April 7, 2016 from http:// www .pewinternet. org/
2015/04/01/chapter-two-usage-and-attitudes-toward-smartphones.
[8]. Underwood R (2015), Putting Data in Design. Retrieved, April 6, 2016from http://www.inc.com/magazine/201312/ryan-
underwood/internet-companies-using-data-for-design.html.

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Tracing attitudes of real estate app customers

  • 1. International Journal of Business and Management Invention ISSN (Online): 2319 – 8028, ISSN (Print): 2319 – 801X www.ijbmi.org || Volume 5 Issue 6 || June. 2016 || PP—01-05 www.ijbmi.org 1 | Page Strategies for product improvement: Tracing the attitude of real estate mobile application customers at Coimbatore district. Dr B Prasanna Soundari. 1 , Ms LijishaJose 2 1,2 (Management, G R Damodaran Academy of Management, Coimbatore – 641062. India) ABSTRACT: Product improvement formerly a concept of ingenuity and research has realigned its orientation to the changing scenario and is concerned with providing a solution to customer needs and wants. The customers of the 21st century are not only knowledgeable but technology driven demanding a perfect product in a prompt manner nevertheless at reasonable price. The impulsive customer also tends to be rational when investments are high as in the case of real estate sector. Technology infusion is just a click away for the marketers of the digital era. The universal truth that 90% of customers browse the Internet before a purchase is acknowledged by the National Association of Realtors. Moreover mobile application the rage among the consumer’s centres on user interface mandated by the customer dictates. Customer driven strategies the norm of knowledge economy is the process of responding to data mining or precisely opinion mining. Products cannot sustain in a competitive arena if customers are excluded and so feedback from the real estate customers regarding mobile application was collected using an explorative study. The research confining to Coimbatore district with respect to mobile application forms a premise to design a winning product. Keywords: Customer Feedback, Interface Design, Mobile Application, Product Improvement, Strategy. I. INTRODUCTION The real estate business, a capital intensive sector has started to occupy a prominent place on the digital pages of websites and mobile applications. Speculations regarding that the online real estate tools might one day replace the agents/brokers completely exist. This may sound a bit disturbing for the real estate agents who haven’t already gone "digital". Interest in real estate mobile application development is not surprising in the era of digitalisation. The speed with which technology changes commands feedback from the customers to provide a user friendly product that absorbs revisions. The solution providers catering to the real estate sector definitely gains from the customer insights. Technology driven customer relations is not a competitive advantage, rather a strategic necessity in the new media age. Many real estate companies have adopted to mobile application but at Coimbatore a metro city in Tamilnadu, such technology usage by the local sellers/brokers are at the nascent stage. Products can succeed in the market only when the needs/wants of the customers are understood properly and embedded in the product development process (Schilling & Hill, 1998). The feedback from customers will help in structuring a product according to their preference giving way for the local players to hold their share against being unnerved by the market giants (Underwood, 2015).Few mobile application developers with base at Coimbatore are Mindnotix, Mindmade, PG Software and Nishta solutions representing minimal rivalry at the introduction stage of the local software solution providers. II. MATERIALS AND METHODS The market research undertaken works towards helping the solution providers to introduce or improve products based on the real estate customer needs and wants. The research design considered was explorative in nature and the feedback pertains to aesthetics, security, technology, information characteristics, support services and general perception of the customer with respect to the mobile application. The data collection tool was a questionnaire. These feedback forms were administered to the customers of the real estate sector who had used mobile application. The respondents in most of the cases were asked to rank their desires, a case of close ended questions. Closed ended questions also involved Likert type scaling methodologies without employing a neutral option (Garlang & Ron, 1991). The impetus behind not using a neutral response was to avoid the escapism technique of the respondents who actually slightly lean toward a favorable or unfavorable response. With an even number of options respondents are forced to decide whether they think favorably or negatively towards an item. 2.1.The sampling process A. Population: Coimbatore Real Estate Mobile Application Customers
  • 2. Strategies for product improvement: Tracing the attitude of real estate mobile application customers.. www.ijbmi.org 2 | Page  Elements: Real Estate Mobile Application Customers  Sampling Units: Residential/Corporate Area then Customers  Extent: Coimbatore District  Time: May 19, 2015 – May 28, 2015 B. Sampling Frame: Coimbatore Road Map C. Sampling Method: Non Probability Convenience Sampling D. Sample Size: 105 decided by ad hoc method E. Sample Plan: Non Probability Convenience Sampling adopted eliminated the problem of missing samples and in addition before the questioning session it was ascertained that the respondents had used real estate application. III. RESULTS AND DISCUSSION MS Excel was used to carry out percentage and weighted average analysis. Demographic details (Table: 1) highlight that 66.7 % of the respondents are male while 43.8 % of the respondents earn an income of above Rs.40, 000 per month and majority (32.4%) of the respondents belonged to the professional class. Moreover 33.3% of the mobile application users are of the age group of 25-34. Having chosen an exploratory design to gain insights on consumer inclinations and to avoid invasion of privacy the reflections on demographic details were restricted. Table 1: Distribution of the respondents based on the demographic factors. Demographic Factors No. of respondents Percentage (%) Gender Male 70 66.7 Female 35 33.3 Total 105 100 Monthly Income Rs.10,000-Rs.20,000 19 18.1 Rs.20,000- Rs.30,000 16 15.2 Rs.30,000- Rs.40,000 24 22.9 Above Rs.40,000 46 43.8 Total 105 100 Age 18-25 12 11.4 25-35 35 33.3 35-45 26 24.7 45-55 19 18.0 Above 55 13 12.3 Total 105 100 Occupation Professional 34 32.4 Business 32 30.5 Students 10 09.5 Others 29 27.6 Total 105 100 The study concentrates on how the respondents perceive the existing real estate application with respect to technical and effectiveness aspects necessitating the Likert type scale. Further the expectations from a new version are gauged by employing ranking methodology. Table 2: Distribution of the respondents based on their satisfaction towards existing technologies and their need for information security. Technology/Security No. of Respondents Percentage (%) Existing Technologies Highly Satisfied 26 24.8 Satisfied 52 49.5 Highly Dissatisfied 14 13.3 Dissatisfied 13 12.4 Total 105 100 Need: Information Security Strongly Agree 52 49.5 Agree 35 33.3 Disagree 13 12.4 Strongly Disagree 05 04.8 Total 105 100
  • 3. Strategies for product improvement: Tracing the attitude of real estate mobile application customers.. www.ijbmi.org 3 | Page Security is an innate quality character of a mobile application (Ivan&Zamfiroiu, 2011). The technological aspects as per the present study is all about how the mobile application helps in seamless communication and effective work as perceived by the users and not about resources and tools used to develop the application. Scrutiny of technology and security aspects (Table: 2) identified that 49.5 % of the respondents strongly agree that security is critical for the application and a similar 49.5 % of the respondents are satisfied with the technological aspects of the existing applications. Information is qualified as good if it is timely, accurate, relevant, worth its cost and just barely sufficient. The criticality of information quality is highly pronounced in a management information system environment (Lee et al., 2002). Information characteristics data (Table:3) disclose that 41 % of the respondents strongly agree that information updation is necessary and 45.7 % of the respondents agree that lease and property information are indispensable for an application. The content dimension of information verifies the exclusive details required by consumers. Table: 4 reveal that majority of the respondents consider listing of real estate to be of paramount importance as it results in flawless presentation of information. Table 3: Distribution of the respondents based on their opinion towards the need for lease and property details and information updation. Information Characteristics No. of respondents Percentage (%) Need: Leaseand property details Strongly Agree 35 33.3 Agree 48 45.7 Disagree 14 13.3 Strongly Disagree 08 07.6 Total 105 100 Information Updation Strongly Agree 43 40.9 Agree 35 33.3 Disagree 24 22.9 Strongly Disagree 03 02.9 Total 105 100 Table 4: Distribution of the respondents based on the information they considered as critical. Critical Information No. of respondents Percentage (%) Social &Media Feeds 23 21.9 Listing 36 34.3 Special Offers 21 20.0 Descriptions 18 17.1 Others 07 06.7 Total 105 100 The way a mobile application looks and operates i.e. the aesthetics has to appease the users demanding a thorough understanding of the user expectations. Handling service interruptions from customer angle provides efficient customer support. The importance attached to customer needs and wants had ensured the use of ranking scales to identify the prioritisation of customers regarding the mobile application’s design trait and the service support anticipated. Ranking questions compare individual elements to each other resulting in a unique value for the items involved. The design traits assessed are “simple”,” bold”, “intuitive” and “attractive”. Simple design is one which presents no difficulty, bold attributes to distinct and pronounced design, intuitive relates to ease of use and comprehension while attractiveness reflects pleasing and tempting aspect. Table: 5 summarises the rank awarded by the respondents to these aspects of the product. Table 5: Distribution of the respondents based on the priority they attach to mobile application design trait. Rank Design Trait 1 2 3 4 Total Simple 38 25 20 22 105 Bold 29 28 20 28 105 Intuitive 29 25 35 16 105 Attractive 09 27 30 39 105 Table: 6 indicate the service support a customer perceives as adding value to the mobile application. Property search aids to seek information carefully and thoroughly, mortgage calculation conveys information on interest and rights, updates assists the prompt indication of revisions regarding real estates and estimates relates to the price.
  • 4. Strategies for product improvement: Tracing the attitude of real estate mobile application customers.. www.ijbmi.org 4 | Page Table 6: Distribution of the respondents based on the priority they attach to mobile application service support. Rank Application Support 1 2 3 4 Total Property search 18 30 33 24 105 Mortgage calculation 26 23 18 38 105 Updates 51 27 12 15 105 Property estimates 10 25 42 28 105 The evaluation made within the mind of the respondents and transformed as ranks are estimated by use of weighted average. The table: 7 and table: 8 has employed a weight of 4 for rank 1, a weight of 3 for rank 2, a weight of 2 for rank 3 and a weight of 1 for rank 4. Weighted average analysis (Table: 7) reveal that the customers prefer simple and intuitive application as these aspects are awarded an average of 2.75 and 2.63 respectively. Additionally table: 8 projects updation of data as the major support service anticipated with an average of 3.02 while property estimates acquired a back seat with an average of 2.21. Table 7: Weighted average of the customer priority with regard to the design of a real estate mobile application. Rank Design Aspect 1 2 3 4 Total Weighted Average Weights 4 3 2 1 - - Simple Frequency 38 25 20 22 105 - Scores 152 75 40 22 289 2.75 Bold Frequency 29 28 20 28 105 - Scores 116 84 40 28 268 2.55 Intuitive Frequency 29 25 35 16 105 - Scores 116 75 70 16 277 2.63 Attractive Frequency 09 27 30 39 105 - Scores 36 81 60 39 216 2.05 Table 8: Weighted average of the customer priority with regard to the service support expected from a real estate sector mobile application. Rank Service Expected 1 2 3 4 Total Weighted Average Weights 4 3 2 1 - - Property search Frequency 18 30 33 24 105 - Scores 72 75 66 24 237 2.25 Mortgage calculation Frequency 26 23 18 38 105 - Scores 104 84 36 38 262 2.49 Updates Frequency 51 27 12 15 105 - Scores 204 75 24 15 318 3.02 Property estimates Frequency 10 25 42 28 105 - Scores 40 81 84 28 233 2.21 The mobile application for the local Coimbatore market is at the introduction stage and is characterised by low sales and relatively less competition. The marketing strategies prescribed for introduction stage emphasis on basic product, increased awareness and inducing trails (Kotler etal., 2012). The analysis of user perspective indicates that security and updation are the critical success factors relating to technological issues. The respondents also pin down simplicity as a key leverage factor with respect to the design attribute. The product improvement strategies that adheres to customer priorities are the one that are successful (Bhuiyan, 2011).It is remarkable that the updates are the key information characteristic as well as the most sought after service support from the mobile application. Communication being a driving force leading to the success of real estate agency its critical feature, updation has to be considered in earnest (Susan, 2002). Real estate mobile application have met the challenge of the industry only half way and feedback at frequent intervals provides for continuous improvement a move towards total quality management. The perception of the respondents forms the premise for strategic actions.
  • 5. Strategies for product improvement: Tracing the attitude of real estate mobile application customers.. www.ijbmi.org 5 | Page IV. CONCLUSION Technological innovations are playing a significant role in every phase of human life and human interaction with machines has become essential in the service sectors. Smart phones often serve as a go-to source for staying informed (Smith, 2015). Digital environment is now integrating disparate sources of information, at low cost and at large scale, for many new domains. The challenge for real estate entities is to reduce the risk of customers when depending on technology instead of humans. Simple design, fool proof security and prompt information service are the wants and desires of a customer regarding mobile application as understood from the customer feedback. It is the responsibility of the real estate enterprises to have a separate team to take care of the authenticity and updation of the information published while the solution providers should concentrate on simplicity of the application and security of the information to provide efficient user interface. The winning strategy of a mobile application as prescribed by the consumers of Coimbatore largely rests on “Learning the art of developing simple design that circumvents information leaks”. REFERENCES [1]. Bhuiyan N, A framework for successful new product development, Journal of Industrial Engineering and Management, 4(4), 2011, 746-770. [2]. Garland R, The mid-point on a rating scale: is it desirable? Marketing Bulletin, 2(3), 1991, 66-70. [3]. Ivan I and Zamfiroiu A, Quality Analysis of Mobile Applications, Informatica Economica Journal, 5(3), 2011,136-152. [4]. Kotler P, Keller K, Koshy A and Jha M, Marketing Management a South Asian Perspective (India : Prentice Hall, 2012). [5]. Lee Y, Strong D, Kahn B and Wang R. Y, AIMQ: A Methodology for Information Quality Assessment, Information & Management, 40(2), 2002, 133-146. [6]. Schilling M A and Hill C W L, Managing the new product development Process, Academy of Management Executive.12(3), 1998, 67-81. [7]. Smith A (2015), Usage and Attitude towards Cell Phones. Retrieved April 7, 2016 from http:// www .pewinternet. org/ 2015/04/01/chapter-two-usage-and-attitudes-toward-smartphones. [8]. Underwood R (2015), Putting Data in Design. Retrieved, April 6, 2016from http://www.inc.com/magazine/201312/ryan- underwood/internet-companies-using-data-for-design.html.