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IOSR Journal of Business and Management (IOSR-JBM)
e-ISSN: 2278-487X, p-ISSN: 2319-7668. Volume 17, Issue 1.Ver. I (Jan. 2015), PP 34-40
www.iosrjournals.org
DOI: 10.9790/487X-17113440 www.iosrjournals.org 34 | Page
Unorganized Computer Manufacturing: Impending Challenge of
E-Waste Hazards in Pune (India)
Zeenat Alam (It Manager), Dr Amol Goje
Abstract: The objective of this article is to throw light on practices of Unorganized Computer market in Pune ,
India .It unveils several facets on human resource engagement , employability ; price differentiation ,market
share and E-WASTE disposal . Unfortunately, the discarding of electronics is one of the fastest growing
segments of our nation's waste. Rapid growth in this industry coupled with advancement in technologies has led
to the accumulation of e-waste stream, which is expected to increase further in the coming years. The article
provides innovative ideas to create value from the challenge in the Unorganized Sector.
Keywords: Assembled PC, Grey market, E-waste Problem · Suggestions for management; ·Developing
countries
I. Introduction
Computer Hardware industry comprises of companies engaged in assembling and manufacturing
computers, computer hardware and computer peripherals. The industry includes dealing with storage devices,
keyboards, printers, monitors, mouse and other pointing devices, Webcams and PC cameras, as well as ATM
machines. The Computer Hardware industry excludes semiconductor computer components, such as
microprocessors and circuit boards.
Over last -3 decades there has been interesting change in trend of the Computer Industry in India .The
golden period between 1984 and 1990, saw the economy opening for foreign investment .Since the 1990s, the
Indian economy moved away from being tightly regulated by the Government to the regime of liberalization .In
1997, the Information Technology Agreement (ITA) was signed at the World Trade Organization (WTO)
whereby India eliminated all customs duties on the Information Technology (IT) hardware by 2005.
With Modigovernment coming inpower , in June 2014, the Indian development has focus on 3P's
strategy . Public -Private partnership, which creates opportunities for further growth in Computer and
Electronic Industry in alignment with NPE Policy from "Department Of Electronics" .
Computer Market in India saw huge growth between period 1994 to 2009 with increase in demand for
Computers - PC and laptops . This also encouraged growth of the Assembled Computers under local brands
which offered lower prices .In 1999-2000, Assembled Computers had a 58 per cent market share, according to
data collated by MAIT (Manufacturers Association of Information Technology, India ).The unorganized sector
(including local brands) in fact improved its market share in 2001 to a staggering 65 per cent from 58 per cent in
the 2000. (IDC includes local brands also in the unorganized category). The market grew mainly in `B' and `C'
class cities and towns. In these markets, the assemblers are well positioned as compared to the branded PC
makers who are now making expansions to these areas. Besides, these markets are very price-conscious and
obviously, assembled PCs come cheaper.Another reason why the assembled PCs did well was the easy and
uninterrupted flow of parts and components to the unorganizedsector. There is huge amount of computer
equipment being imported to India, fromseveral countries;Germany,China,Taiwan and Israel contribute to
majority of proportion which is used to cater for the Assembled PC Market [2].
With Computer Segment expansion, Pune is also transitioning as one of the major hubs of e-waste
generation in India. According to several studies conducted in India, Pune is a major repository of WEEE.
Mumbai-Pune industrial belt is one of the electronic items manufacturing hubs of the country.
According to a study conducted on E-Waste Assessment in Mumbai – Pune Area by the Maharashtra
Pollution Control Board (MPCB) in 2007, there is very small amount of dismantling activity occurring in Pune,
Pimpri - Chinchwad region. According to this study, the total e-waste generation in Pune is 2584.21 tons and in
Pimpri-Chinchwad 1032.37 tons.
With industrial revolutionisation and small EOL of equipment the problem is projected to grow.
Objective ofthe Study
1. E-waste disposal is becoming big problem within Pune which would further increase if not treated now .
The branded PC’s are accounted under law via EPR (Extended Producer Responsibility)for E-waste
management,however for Assembled PC the regulations have not been distinctly laid out, which leaves gap
There is lack of awareness onEwaste management techniques within the Assembled PC sector. No formal
process for disposal.
Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India)
DOI: 10.9790/487X-17113440 www.iosrjournals.org 35 | Page
2. The Research also covers the study on Work hours and environment provided to employees in this sector
based on the size of the company.
It provides recommendations and unveils opportunities that can be further harnessed by the Govt , Small
Business Unit (SBU) owners and consumers.
Hypothesis
1. The working hours of the employee are inversely proportional to the size of the company.
2. There is substantial price differentiation between the branded equipment and assembled PC which keeps the
sector alive and thriving.
3. The E-waste generated is not tracked and formally disposed by the manufacturers and consumers.
II. Methodology
The constructive research was carried out which encompassed 5phases.
Study was performed on 50 PC Assemblers in Pune Region in Maharashtra,India in interval Mar-2014 to Oct-
2014.
The data gathering was done via face to face interview andTelephonicinterview.
Limitations of the study
1. E-waste is now treated as a very sensitive issue, which made it difficult for us to acquire detailed
information about the ways of e-waste disposal.
2. Questions related to health effects and wages wentunanswered during interviews.
3. In most places, permission to take photographs andthe entry into the yards was denied.
Disclosing the real identity and the real purpose of thestudy discouraged the subjects to provide information.
So we had to devise innovative ways to engage in Conversations in order to obtain information.
Hypothesis Testing
Hypothesis I-The working hours of the employee are inversely proportional to the size of the company.
Size of the Organization was the control variable. The population was categorized into the following
parts based on the number of staff with the organization.
Frequency Percent
Valid
<10 10 22.7
<20 17 38.6
<30 14 31.8
<40 2 4.5
<50 1 2.3
Total 44 100.0
Table 1: Size Of the company
The Average number of working hours for the employees per firm wastaken, to understand the working culture.
Work_hrs_wk
Frequency Percent
Valid
>45 16 36.4
>60 19 43.2
>70 9 20.5
Total 44 100.0
Table 2 : Work hours per week for the employees
Report Work_hrs_wk
Mean N Std. Deviation
3.30 44 .632
Table 3: Mean Work Hours
Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India)
DOI: 10.9790/487X-17113440 www.iosrjournals.org 36 | Page
The mean shows that if the test is carried in similar interval of population would give average working
hours of employees between 60-70 hrs per week for unorganized computer manufacturers.
= 0.632
The standard deviation gives an idea of how close the entire set of data is to the average value. Data
sets with a small standard deviation have tightly grouped, precise data.
The linear correlation coefficient is a test that can be used to see if there is a linear relationship between two
variables. The following equation is used:
The quantity r, called the linear correlation coefficient, measures the strength and
the direction of a linear relationship between two variables. The linear correlation
coefficient is sometimes referred to as the Pearson product moment correlation coefficient in honor of its
developer Karl Pearson.
Correlations
Num_emp Work_hrs_wk
Num_emp
Pearson Correlation 1 -.637**
Sig. (2-tailed) .000
N 44 44
Work_hrs_wk
Pearson Correlation -.637**
1
Sig. (2-tailed) .000
N 44 44
**. Correlation is significant at the 0.01 level (2-tailed).
Table 4:Pearson Correlation
The range of the correlation coefficient is from -1 to 1. Our result is -0.607 or60.7 %, The value of
Pearson’s Correlation coefficients. Lies between Interval -0.40 to -0.69 which shows a strong negative
relationship between the 2 variable..
Fig 1 shows the strong negative correlation, the graph has a downward slope from left to right:; as the
x-values increase, the y-values get smaller..
This proves the alternate Hypothesis and rejects the null hypothesis .
The Assembler PC dealers handle several type of jobs:
1. They register themselves as support firms with big IT organizations and provide the laptop/PC maintenance
services. They also provide the maintenance services to small consumers like shops and households.
Maintenance services include, hardware and software support . Either it could be to upgrade the systems
with additional RAM , graphics card etc or to upload the software or AntiVirus .
2. They also do Computer Assembly, which involves buy the computer component and build new machines
with Customized configuration per the Order .
As per the study the companies that have < 10 employees have average Weekly working hours
between 60- 70 hrs . The reason for long hours could also be to build the Clientele and good will of the
company .
The minimum education for technical staff is 10 th standard pass with formal training on Computer
HW. Study showed interesting mix of the graduates and under-graduates employed for the job . Supervisors in
62% of the companies were graduates and were managing the group of under-graduates . The support model is
12 hours a day and 7 days work. People work in shifts which average 6 days ,
The average income range per month is between Rs 13,500 to 17,500 , trained and skilled staff
receiving in the . higher end based on their throughput
Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India)
DOI: 10.9790/487X-17113440 www.iosrjournals.org 37 | Page
Fig 1: Negative Correlation
Hypothesis 2: There is price differentiation between the branded equipment and assembled PC , with
Respondents were questioned on the price differentiation between the products and their equivalent
configuration branded equipment’s . The Frequency table provides the average frequency of the answer .
Maximum frequency of price differentiation between 10- 20% interval .
Price Differentiation Frequency Percent
Valid
<10% 7 15.9
<15 % 19 43.2
<20 % 16 36.4
None 2 4.5
Total 44 100.0
Table 5: Frequency Test
Average Price differentiation is 15-20 %.
Chi Square test wasapplied to test the association and degree of significance between the 2 variables Size of
the company and Price differentiation with Brand .
profit margin Total
2 3 4 6
Num_emp
<10
Count 6 1 1 2 10
Expected Count 1.6 4.3 3.6 .5 10.0
<20
Count 1 3 13 0 17
Expected Count 2.7 7.3 6.2 .8 17.0
<30
Count 0 14 0 0 14
Expected Count 2.2 6.0 5.1 .6 14.0
<40
Count 0 0 2 0 2
Expected Count .3 .9 .7 .1 2.0
<50
Count 0 1 0 0 1
Expected Count .2 .4 .4 .0 1.0
Total
Count 7 19 16 2 44
Expected Count 7.0 19.0 16.0 2.0 44.0
Table 6: Num_emp * Price_Diff Cross tabulation
Value Df Asymp. Sig. (2-sided)
Pearson Chi-Square 57.106a
12 .000
Likelihood Ratio 57.555 12 .000
Linear-by-Linear Association .018 1 .894
N of Valid Cases 44
a. 16 cells (80.0%) have expected count less than 5. The minimum expected count is .05.
Table 7: Chi-Square Tests
Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India)
DOI: 10.9790/487X-17113440 www.iosrjournals.org 38 | Page
Alpha <0.05 for 95% level of Confidence.
The P- Value from the test shows 0.000, which shows a strong association between the Size of the
company and the price differentiation offered bythem withrespect to the branded equipment.
Value Approx. Sig.
Nominal By Nominal
Phi 1.139 .000
Cramer's V .658 .000
N Of Valid Cases 44
A. Not Assuming The Null Hypothesis.
B. Using The Asymptotic Standard Error Assuming The Null Hypothesis.
Table 8:Cramer’s V Correlation
Cramer’s V correlation varies between 0 and 1. Avalue close to 0 means that there is very little association
between the variables. A Cramer’s V of close to 1 indicates a very strong association.
Cramer's V as 0.658 represents very strong relationship between the variables number of employees in the
company and the price differentiation.
Therefore null Hypothesis is rejected .
The companies having bigger staff base are able to take bigger orders and able to accomplish them fast with
larger human resources available to handle. They are able handle multiple orders and services at a time, which
creates opportunity for bigger revenue base.
The electronic components required for building PC are bought from one of the below channels, which assists
in keeping the Cost of the equipment low -
 Authorized dealers who import them .
 Retail outlets
 Grey market where they are brought through unorganized route - Smuggled , Chor bazaar, second hand
market etc
 Used components from E-waste
99% of the respondents confirmed in the survey to buy the components from the authorized dealers , and
using branded processors like Intel , Gig power or AMD .
Hypothesis 3: The E-waste generated is not tracked and formally disposed by the manufacturers and
consumers.
EwasteDisposal optionsand the proportion user by companies based on their size is shared in below
table . Most popular options wasEwaste created while making computers, is collected over a period of 6 to 8
months in the firm’s premises /warehouse . They are sold to scrap dealers or thrown along with the garbage as
Solid Waste .
E-waste Total
Scrap Dealer Thrown
Num_emp
<10
Count 6 4 10
Expected Count 9.1 .9 10.0
<20
Count 17 0 17
Expected Count 15.5 1.5 17.0
<30
Count 14 0 14
Expected Count 12.7 1.3 14.0
<40
Count 2 0 2
Expected Count 1.8 .2 2.0
<50
Count 1 0 1
Expected Count .9 .1 1.0
Total
Count 40 4 44
Expected Count 40.0 4.0 44.0
Table 9: Num_emp * E-waste Crosstabulation
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 14.960a
4 .005
Likelihood Ratio 13.348 4 .010
Linear-by-Linear Association 7.729 1 .005
N of Valid Cases 44
a. 7 cells (70.0%) have expected count less than 5. The minimum expected count is .09.
Table 10: Chi-Square Tests
P Value is 0.005 , it is less than 0.05 , which is 95% confidence level .
Value Approx. Sig.
Nominal by Nominal
Phi .583 .005
Cramer's V .583 .005
Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India)
DOI: 10.9790/487X-17113440 www.iosrjournals.org 39 | Page
N of Valid Cases 44
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
Table 11: Cramer's V value
Cramer’s V correlation varies between 0 and 1. A Cramer’s V of close to 1 indicates a very strong association.
Thevalue 0.25 or higher gives very strong relationship between the variable. This validates the hypothesis.
III. Conclusion
1. Entrepreneurship and Employment:
Unorganized Computer anufacturing sector provides empowerment and ability for business startups .
It requires good network to form consumer base in domestic and corporate market. It facilitates the indigenous
business .26% of the companies owners were engineering or Technicalgraduates, 84 % were non graduates.
They learned the skills and hired the skilled people to do the job.
92.4% of companies were small firms with staff from 7 to 40 people. The technical staff were 10 th passed who
had done small courses on Microsoft certification , hardware or network certified.The remuneration varied
from Rs 15,000 to 17,500 based on the experience and knowledge and sales in the month.
2. Penetration into Class B and Class C cities.
India's majority of the population stays in rural areas .Low cost startups , huge demand and good
earnings give immense motivation to the assemblers to start business from home .They have good
understanding of the local market and are able to reach out to customers conveniently. Low or negligible
advertisement and marketing cost. FDI's and big brands usually have high cost of advertisement, also the cost of
computers are much higher than what local assembler quotes. From the study 45% Assembling firms in Pune
confirmed that during festive season and weekends , they had huge sales when people from rural areas came
and took bulk orders for running businesses in small towns and villages.
Current Problems
1. Restriction of Hazardous Substances Directive (RoHS) Regulation are not applied on the products in
unorganisedsector . There no distinctive Quality certification for the products manufactured /assembled in
this sector .
2. There are no formalized records to monitor Sales from unorganized channel. The data is not available ,
which severely impacts the body of knowledge . This would eventually create hindrance on predicting the
turnover and earnings from the sector at City/State or national level
3. ERP regulation[E-waste regulation on extended producer responsibility ] are not clearly defined on the
assembled Computers , hence no formal responsibility exists to the Assembled PC's manufacturers/dealers
for the Recycling of the Computers E-Waste once it is discarded by the users .
This creates very big problem , as e-waste is untracked .
There is need to create awareness on OnEwaste problem and create formal process for Ewaste disposal for the
suppliers and the consumers.
IV. Recommendation
1. Government needs to look into formalizing the Assembled PC Market which constitute 44% of Computer
Hardware market share in India and 67 % share in Pune .
There needs to be ROHS quality checks for the Assembled PC to assure the percentage of Hazardous
substances are within limits .
2. Currently we do not have measurements on the exports of assembled PC's , Sales of PC's within Indian
market and the revenue generated through the informal channel . It leaves critical gap in the GDP and Tax
calculation from this sector.
Online One Stop Shop for computer sales and Online payment will formalized revenue and Tax channels to
bring the revenue generated into main stream for the country's development.
3. Current processes and technologies simply are not sufficient for measuring the true destination of e-waste
as it passes through each level of the disposal process..The ability to track products to their final destination
and ensure safe, legal and transparent disposal is critical; [5]
 The use of a unique 12-digit code printed directly onto each subsystem component using passive radio-
frequency identification (RFID) ink, recommended by Sumit Bhardwaj, a digital marketer in London;
Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India)
DOI: 10.9790/487X-17113440 www.iosrjournals.org 40 | Page
 Eelectronic identification bee (e-Bee) that combines electronic identification codes printed on components
with an online crowdsourcing platform that together yield a holistic picture of where electronic components
end up; and
 A tracking system that leverages a sheet of labels printed with unique, encrypted codes for each major
component in the system. Similar to those used in the fresh food industry, the labels would be applied to
and follow subsystem components as they move through the disposal process.
These are some of the way which can be used to track the computer components disposal which contain
hazardous and heavy metals.
Reference
[1]. http://www.infodriveindia.com/india-export-data/computer-hardware-export-data.aspx - Last accessed 10-Sep-2014
[2]. http://assembleyourpc.net/rigs/new/select_processor/inr-Last accessed 13-Sep-2014
[3]. http://justdial.co.in Last accessed 22-Sep-2014
[4]. Jus Dial Site for Contacting the Assembled PC Maker
[5]. http://www.innocentive.com/emc-edf-and-innocentive-announce-winners-eco-challenge-improve-tracking-e-waste last accessed
27-Dec-2014

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Unorganized Computer Manufacturing: Impending Challenge of E-Waste Hazards in Pune (India)

  • 1. IOSR Journal of Business and Management (IOSR-JBM) e-ISSN: 2278-487X, p-ISSN: 2319-7668. Volume 17, Issue 1.Ver. I (Jan. 2015), PP 34-40 www.iosrjournals.org DOI: 10.9790/487X-17113440 www.iosrjournals.org 34 | Page Unorganized Computer Manufacturing: Impending Challenge of E-Waste Hazards in Pune (India) Zeenat Alam (It Manager), Dr Amol Goje Abstract: The objective of this article is to throw light on practices of Unorganized Computer market in Pune , India .It unveils several facets on human resource engagement , employability ; price differentiation ,market share and E-WASTE disposal . Unfortunately, the discarding of electronics is one of the fastest growing segments of our nation's waste. Rapid growth in this industry coupled with advancement in technologies has led to the accumulation of e-waste stream, which is expected to increase further in the coming years. The article provides innovative ideas to create value from the challenge in the Unorganized Sector. Keywords: Assembled PC, Grey market, E-waste Problem · Suggestions for management; ·Developing countries I. Introduction Computer Hardware industry comprises of companies engaged in assembling and manufacturing computers, computer hardware and computer peripherals. The industry includes dealing with storage devices, keyboards, printers, monitors, mouse and other pointing devices, Webcams and PC cameras, as well as ATM machines. The Computer Hardware industry excludes semiconductor computer components, such as microprocessors and circuit boards. Over last -3 decades there has been interesting change in trend of the Computer Industry in India .The golden period between 1984 and 1990, saw the economy opening for foreign investment .Since the 1990s, the Indian economy moved away from being tightly regulated by the Government to the regime of liberalization .In 1997, the Information Technology Agreement (ITA) was signed at the World Trade Organization (WTO) whereby India eliminated all customs duties on the Information Technology (IT) hardware by 2005. With Modigovernment coming inpower , in June 2014, the Indian development has focus on 3P's strategy . Public -Private partnership, which creates opportunities for further growth in Computer and Electronic Industry in alignment with NPE Policy from "Department Of Electronics" . Computer Market in India saw huge growth between period 1994 to 2009 with increase in demand for Computers - PC and laptops . This also encouraged growth of the Assembled Computers under local brands which offered lower prices .In 1999-2000, Assembled Computers had a 58 per cent market share, according to data collated by MAIT (Manufacturers Association of Information Technology, India ).The unorganized sector (including local brands) in fact improved its market share in 2001 to a staggering 65 per cent from 58 per cent in the 2000. (IDC includes local brands also in the unorganized category). The market grew mainly in `B' and `C' class cities and towns. In these markets, the assemblers are well positioned as compared to the branded PC makers who are now making expansions to these areas. Besides, these markets are very price-conscious and obviously, assembled PCs come cheaper.Another reason why the assembled PCs did well was the easy and uninterrupted flow of parts and components to the unorganizedsector. There is huge amount of computer equipment being imported to India, fromseveral countries;Germany,China,Taiwan and Israel contribute to majority of proportion which is used to cater for the Assembled PC Market [2]. With Computer Segment expansion, Pune is also transitioning as one of the major hubs of e-waste generation in India. According to several studies conducted in India, Pune is a major repository of WEEE. Mumbai-Pune industrial belt is one of the electronic items manufacturing hubs of the country. According to a study conducted on E-Waste Assessment in Mumbai – Pune Area by the Maharashtra Pollution Control Board (MPCB) in 2007, there is very small amount of dismantling activity occurring in Pune, Pimpri - Chinchwad region. According to this study, the total e-waste generation in Pune is 2584.21 tons and in Pimpri-Chinchwad 1032.37 tons. With industrial revolutionisation and small EOL of equipment the problem is projected to grow. Objective ofthe Study 1. E-waste disposal is becoming big problem within Pune which would further increase if not treated now . The branded PC’s are accounted under law via EPR (Extended Producer Responsibility)for E-waste management,however for Assembled PC the regulations have not been distinctly laid out, which leaves gap There is lack of awareness onEwaste management techniques within the Assembled PC sector. No formal process for disposal.
  • 2. Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India) DOI: 10.9790/487X-17113440 www.iosrjournals.org 35 | Page 2. The Research also covers the study on Work hours and environment provided to employees in this sector based on the size of the company. It provides recommendations and unveils opportunities that can be further harnessed by the Govt , Small Business Unit (SBU) owners and consumers. Hypothesis 1. The working hours of the employee are inversely proportional to the size of the company. 2. There is substantial price differentiation between the branded equipment and assembled PC which keeps the sector alive and thriving. 3. The E-waste generated is not tracked and formally disposed by the manufacturers and consumers. II. Methodology The constructive research was carried out which encompassed 5phases. Study was performed on 50 PC Assemblers in Pune Region in Maharashtra,India in interval Mar-2014 to Oct- 2014. The data gathering was done via face to face interview andTelephonicinterview. Limitations of the study 1. E-waste is now treated as a very sensitive issue, which made it difficult for us to acquire detailed information about the ways of e-waste disposal. 2. Questions related to health effects and wages wentunanswered during interviews. 3. In most places, permission to take photographs andthe entry into the yards was denied. Disclosing the real identity and the real purpose of thestudy discouraged the subjects to provide information. So we had to devise innovative ways to engage in Conversations in order to obtain information. Hypothesis Testing Hypothesis I-The working hours of the employee are inversely proportional to the size of the company. Size of the Organization was the control variable. The population was categorized into the following parts based on the number of staff with the organization. Frequency Percent Valid <10 10 22.7 <20 17 38.6 <30 14 31.8 <40 2 4.5 <50 1 2.3 Total 44 100.0 Table 1: Size Of the company The Average number of working hours for the employees per firm wastaken, to understand the working culture. Work_hrs_wk Frequency Percent Valid >45 16 36.4 >60 19 43.2 >70 9 20.5 Total 44 100.0 Table 2 : Work hours per week for the employees Report Work_hrs_wk Mean N Std. Deviation 3.30 44 .632 Table 3: Mean Work Hours
  • 3. Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India) DOI: 10.9790/487X-17113440 www.iosrjournals.org 36 | Page The mean shows that if the test is carried in similar interval of population would give average working hours of employees between 60-70 hrs per week for unorganized computer manufacturers. = 0.632 The standard deviation gives an idea of how close the entire set of data is to the average value. Data sets with a small standard deviation have tightly grouped, precise data. The linear correlation coefficient is a test that can be used to see if there is a linear relationship between two variables. The following equation is used: The quantity r, called the linear correlation coefficient, measures the strength and the direction of a linear relationship between two variables. The linear correlation coefficient is sometimes referred to as the Pearson product moment correlation coefficient in honor of its developer Karl Pearson. Correlations Num_emp Work_hrs_wk Num_emp Pearson Correlation 1 -.637** Sig. (2-tailed) .000 N 44 44 Work_hrs_wk Pearson Correlation -.637** 1 Sig. (2-tailed) .000 N 44 44 **. Correlation is significant at the 0.01 level (2-tailed). Table 4:Pearson Correlation The range of the correlation coefficient is from -1 to 1. Our result is -0.607 or60.7 %, The value of Pearson’s Correlation coefficients. Lies between Interval -0.40 to -0.69 which shows a strong negative relationship between the 2 variable.. Fig 1 shows the strong negative correlation, the graph has a downward slope from left to right:; as the x-values increase, the y-values get smaller.. This proves the alternate Hypothesis and rejects the null hypothesis . The Assembler PC dealers handle several type of jobs: 1. They register themselves as support firms with big IT organizations and provide the laptop/PC maintenance services. They also provide the maintenance services to small consumers like shops and households. Maintenance services include, hardware and software support . Either it could be to upgrade the systems with additional RAM , graphics card etc or to upload the software or AntiVirus . 2. They also do Computer Assembly, which involves buy the computer component and build new machines with Customized configuration per the Order . As per the study the companies that have < 10 employees have average Weekly working hours between 60- 70 hrs . The reason for long hours could also be to build the Clientele and good will of the company . The minimum education for technical staff is 10 th standard pass with formal training on Computer HW. Study showed interesting mix of the graduates and under-graduates employed for the job . Supervisors in 62% of the companies were graduates and were managing the group of under-graduates . The support model is 12 hours a day and 7 days work. People work in shifts which average 6 days , The average income range per month is between Rs 13,500 to 17,500 , trained and skilled staff receiving in the . higher end based on their throughput
  • 4. Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India) DOI: 10.9790/487X-17113440 www.iosrjournals.org 37 | Page Fig 1: Negative Correlation Hypothesis 2: There is price differentiation between the branded equipment and assembled PC , with Respondents were questioned on the price differentiation between the products and their equivalent configuration branded equipment’s . The Frequency table provides the average frequency of the answer . Maximum frequency of price differentiation between 10- 20% interval . Price Differentiation Frequency Percent Valid <10% 7 15.9 <15 % 19 43.2 <20 % 16 36.4 None 2 4.5 Total 44 100.0 Table 5: Frequency Test Average Price differentiation is 15-20 %. Chi Square test wasapplied to test the association and degree of significance between the 2 variables Size of the company and Price differentiation with Brand . profit margin Total 2 3 4 6 Num_emp <10 Count 6 1 1 2 10 Expected Count 1.6 4.3 3.6 .5 10.0 <20 Count 1 3 13 0 17 Expected Count 2.7 7.3 6.2 .8 17.0 <30 Count 0 14 0 0 14 Expected Count 2.2 6.0 5.1 .6 14.0 <40 Count 0 0 2 0 2 Expected Count .3 .9 .7 .1 2.0 <50 Count 0 1 0 0 1 Expected Count .2 .4 .4 .0 1.0 Total Count 7 19 16 2 44 Expected Count 7.0 19.0 16.0 2.0 44.0 Table 6: Num_emp * Price_Diff Cross tabulation Value Df Asymp. Sig. (2-sided) Pearson Chi-Square 57.106a 12 .000 Likelihood Ratio 57.555 12 .000 Linear-by-Linear Association .018 1 .894 N of Valid Cases 44 a. 16 cells (80.0%) have expected count less than 5. The minimum expected count is .05. Table 7: Chi-Square Tests
  • 5. Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India) DOI: 10.9790/487X-17113440 www.iosrjournals.org 38 | Page Alpha <0.05 for 95% level of Confidence. The P- Value from the test shows 0.000, which shows a strong association between the Size of the company and the price differentiation offered bythem withrespect to the branded equipment. Value Approx. Sig. Nominal By Nominal Phi 1.139 .000 Cramer's V .658 .000 N Of Valid Cases 44 A. Not Assuming The Null Hypothesis. B. Using The Asymptotic Standard Error Assuming The Null Hypothesis. Table 8:Cramer’s V Correlation Cramer’s V correlation varies between 0 and 1. Avalue close to 0 means that there is very little association between the variables. A Cramer’s V of close to 1 indicates a very strong association. Cramer's V as 0.658 represents very strong relationship between the variables number of employees in the company and the price differentiation. Therefore null Hypothesis is rejected . The companies having bigger staff base are able to take bigger orders and able to accomplish them fast with larger human resources available to handle. They are able handle multiple orders and services at a time, which creates opportunity for bigger revenue base. The electronic components required for building PC are bought from one of the below channels, which assists in keeping the Cost of the equipment low -  Authorized dealers who import them .  Retail outlets  Grey market where they are brought through unorganized route - Smuggled , Chor bazaar, second hand market etc  Used components from E-waste 99% of the respondents confirmed in the survey to buy the components from the authorized dealers , and using branded processors like Intel , Gig power or AMD . Hypothesis 3: The E-waste generated is not tracked and formally disposed by the manufacturers and consumers. EwasteDisposal optionsand the proportion user by companies based on their size is shared in below table . Most popular options wasEwaste created while making computers, is collected over a period of 6 to 8 months in the firm’s premises /warehouse . They are sold to scrap dealers or thrown along with the garbage as Solid Waste . E-waste Total Scrap Dealer Thrown Num_emp <10 Count 6 4 10 Expected Count 9.1 .9 10.0 <20 Count 17 0 17 Expected Count 15.5 1.5 17.0 <30 Count 14 0 14 Expected Count 12.7 1.3 14.0 <40 Count 2 0 2 Expected Count 1.8 .2 2.0 <50 Count 1 0 1 Expected Count .9 .1 1.0 Total Count 40 4 44 Expected Count 40.0 4.0 44.0 Table 9: Num_emp * E-waste Crosstabulation Value df Asymp. Sig. (2-sided) Pearson Chi-Square 14.960a 4 .005 Likelihood Ratio 13.348 4 .010 Linear-by-Linear Association 7.729 1 .005 N of Valid Cases 44 a. 7 cells (70.0%) have expected count less than 5. The minimum expected count is .09. Table 10: Chi-Square Tests P Value is 0.005 , it is less than 0.05 , which is 95% confidence level . Value Approx. Sig. Nominal by Nominal Phi .583 .005 Cramer's V .583 .005
  • 6. Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India) DOI: 10.9790/487X-17113440 www.iosrjournals.org 39 | Page N of Valid Cases 44 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. Table 11: Cramer's V value Cramer’s V correlation varies between 0 and 1. A Cramer’s V of close to 1 indicates a very strong association. Thevalue 0.25 or higher gives very strong relationship between the variable. This validates the hypothesis. III. Conclusion 1. Entrepreneurship and Employment: Unorganized Computer anufacturing sector provides empowerment and ability for business startups . It requires good network to form consumer base in domestic and corporate market. It facilitates the indigenous business .26% of the companies owners were engineering or Technicalgraduates, 84 % were non graduates. They learned the skills and hired the skilled people to do the job. 92.4% of companies were small firms with staff from 7 to 40 people. The technical staff were 10 th passed who had done small courses on Microsoft certification , hardware or network certified.The remuneration varied from Rs 15,000 to 17,500 based on the experience and knowledge and sales in the month. 2. Penetration into Class B and Class C cities. India's majority of the population stays in rural areas .Low cost startups , huge demand and good earnings give immense motivation to the assemblers to start business from home .They have good understanding of the local market and are able to reach out to customers conveniently. Low or negligible advertisement and marketing cost. FDI's and big brands usually have high cost of advertisement, also the cost of computers are much higher than what local assembler quotes. From the study 45% Assembling firms in Pune confirmed that during festive season and weekends , they had huge sales when people from rural areas came and took bulk orders for running businesses in small towns and villages. Current Problems 1. Restriction of Hazardous Substances Directive (RoHS) Regulation are not applied on the products in unorganisedsector . There no distinctive Quality certification for the products manufactured /assembled in this sector . 2. There are no formalized records to monitor Sales from unorganized channel. The data is not available , which severely impacts the body of knowledge . This would eventually create hindrance on predicting the turnover and earnings from the sector at City/State or national level 3. ERP regulation[E-waste regulation on extended producer responsibility ] are not clearly defined on the assembled Computers , hence no formal responsibility exists to the Assembled PC's manufacturers/dealers for the Recycling of the Computers E-Waste once it is discarded by the users . This creates very big problem , as e-waste is untracked . There is need to create awareness on OnEwaste problem and create formal process for Ewaste disposal for the suppliers and the consumers. IV. Recommendation 1. Government needs to look into formalizing the Assembled PC Market which constitute 44% of Computer Hardware market share in India and 67 % share in Pune . There needs to be ROHS quality checks for the Assembled PC to assure the percentage of Hazardous substances are within limits . 2. Currently we do not have measurements on the exports of assembled PC's , Sales of PC's within Indian market and the revenue generated through the informal channel . It leaves critical gap in the GDP and Tax calculation from this sector. Online One Stop Shop for computer sales and Online payment will formalized revenue and Tax channels to bring the revenue generated into main stream for the country's development. 3. Current processes and technologies simply are not sufficient for measuring the true destination of e-waste as it passes through each level of the disposal process..The ability to track products to their final destination and ensure safe, legal and transparent disposal is critical; [5]  The use of a unique 12-digit code printed directly onto each subsystem component using passive radio- frequency identification (RFID) ink, recommended by Sumit Bhardwaj, a digital marketer in London;
  • 7. Unorganized Computer Manufacturing: Impending Challenge Of E-Waste Hazards in Pune (India) DOI: 10.9790/487X-17113440 www.iosrjournals.org 40 | Page  Eelectronic identification bee (e-Bee) that combines electronic identification codes printed on components with an online crowdsourcing platform that together yield a holistic picture of where electronic components end up; and  A tracking system that leverages a sheet of labels printed with unique, encrypted codes for each major component in the system. Similar to those used in the fresh food industry, the labels would be applied to and follow subsystem components as they move through the disposal process. These are some of the way which can be used to track the computer components disposal which contain hazardous and heavy metals. Reference [1]. http://www.infodriveindia.com/india-export-data/computer-hardware-export-data.aspx - Last accessed 10-Sep-2014 [2]. http://assembleyourpc.net/rigs/new/select_processor/inr-Last accessed 13-Sep-2014 [3]. http://justdial.co.in Last accessed 22-Sep-2014 [4]. Jus Dial Site for Contacting the Assembled PC Maker [5]. http://www.innocentive.com/emc-edf-and-innocentive-announce-winners-eco-challenge-improve-tracking-e-waste last accessed 27-Dec-2014