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Best
Companies
to Work for
In India
2010-11


How We Did It

Business
Today
Issue Dated January 18,
2011
Ten is a significant age for a
survey. Business Today's
annual exercise of finding
The Best Companies to
Work For turns 10 with this
edition. After completely
overhauling the
methodology in the summer
of 2009 to make it "by the
employee and of the
employee", we have tried to
fine-tune it further this year.
So, along with our survey
and knowledge partners, we
tried to capture not just the
overall ranking of 25
companies and a sector
ranking of 10 each for nine
sectors but also the human
resource facets of the Indian
workplace.
Critical views from the employee universe, too, were captured
in some detail. For instance: What factors do employees
consider important in a workplace? What makes a company
attractive to its employees? What demoralises them? What
upsets them enough to make them contemplate a job change?
Are they satisfied in their current role? If not, what can
organisations do to address the factors they are dissatisfied
with? Do they believe the senior management of the company
adheres to ethical values? Read the answers elsewhere in this
cover story package.

We partnered with Indicus Analytics for designing and
conducting the survey. For helping us interpret the results, we
partnered with PeopleStrong, an HR consultancy firm. First
things first. The BT-Indicus Analytics-PeopleStrong survey is a
perception-based one. What this means is that companies
make their way into the survey simply because Indian workers
want them to be there. Only employees - not students and
those not working - were allowed to take part in the survey,
which was conducted between August and October 2010, and
was open for about 100 days. From 1,000 companies last
year, the universe of this year's survey has expanded to 3,700
companies across 350 cities and towns. We reached out to a
large employee base again this year (over 8,600 employees).
Team Indicus Analytics
The Approach: An online survey allowed employees
from different kinds of companies to participate and
express their views. Online research is known to get
more honest opinions. Mailers and other forms of
communication were sent to randomly selected 1.5
million possible respondents, out of which about
70,000 (4.7 per cent) came to the survey page. Of
these, 8,634 (12.3 per cent) respondents filled out
the questionnaire. These respondents, 11 per cent
of whom were women, were truly representative of
the great Indian workplace (see graphics).

Data authenticity was ensured in two ways: a) the
questionnaire design itself had built-in verifications
that reject responses with contradictory/ incomplete
information and; b) a verification backcheck of about
20 per cent of the accepted responses. Overall
rejection was under 5 per cent.

No one company or a set of companies dominates
the sample. No company had more than 30
respondents, and only eight companies had more
than 20. The bulk of the companies had only one or
two respondents.
The Ranking: Survey respondents were asked to select and rank five companies,
which in their opinion were the best to work for across industries or sectors. The
respondents were then asked to rank these five companies on five parameters -
career growth prospects, financial compensation, work-life balance, performance
evaluation and other hr practices. The rankings for each of these parameters were
restricted to three companies. The ranking of companies within a sector was
restricted to people working in that specific industry. Again, each respondent was
asked to rank the top five in that industry on each of the above-mentioned
parameters with the ranking then whittled to three companies. The final list of best
companies to work for overall and within each sector was based on rank scores.
Following what statisticians call the 90 per cent rule, Rank 1 got a rank score of
100, Rank 2 received 90, Rank 3: 81, Rank 4: 73 and Rank 5 translated into a rank
score of 66. The rank score for each company was aggregated across all
respondents and the highest scorer was assigned an index score of 100. Other
companies were ranked relatively based on their aggregate scores.

This method of scoring and indexing is considered robust in statistics. This is the
second year of the survey in its new avatar. Our aim was to make the BT Best
Companies to Work For study bigger and comprehensive.
Converting ratings into importance weights

Respondents were asked to rate the various factors on a scale. These ratings were converted into importance
weights (percentage weights summing up to 100 per cent).

A respondent assesses n(n-1)/ 2 importance ratios between attributes. This information is stored in the upper
(or lower) triangle of a (n x n) matrix, whose typical element ajk represents the weight ratio of wi/wk. The
remaining elements of the matrix are filled by employing the reciprocal of the matrix: ajk = 1/akj and ajj = 1, for
all j and k.

Example: The following pair wise judgments were made




We compute the geometric mean of each row of the matrix and then normalise the resulting numbers:




The ratings of each respondent are converted into weights. For a given segment of the sample of respondents,
the mean weights for every factor are then computed.

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Best companies to work for 2010 11

  • 1. Best Companies to Work for In India 2010-11 How We Did It Business Today Issue Dated January 18, 2011
  • 2. Ten is a significant age for a survey. Business Today's annual exercise of finding The Best Companies to Work For turns 10 with this edition. After completely overhauling the methodology in the summer of 2009 to make it "by the employee and of the employee", we have tried to fine-tune it further this year. So, along with our survey and knowledge partners, we tried to capture not just the overall ranking of 25 companies and a sector ranking of 10 each for nine sectors but also the human resource facets of the Indian workplace.
  • 3. Critical views from the employee universe, too, were captured in some detail. For instance: What factors do employees consider important in a workplace? What makes a company attractive to its employees? What demoralises them? What upsets them enough to make them contemplate a job change? Are they satisfied in their current role? If not, what can organisations do to address the factors they are dissatisfied with? Do they believe the senior management of the company adheres to ethical values? Read the answers elsewhere in this cover story package. We partnered with Indicus Analytics for designing and conducting the survey. For helping us interpret the results, we partnered with PeopleStrong, an HR consultancy firm. First things first. The BT-Indicus Analytics-PeopleStrong survey is a perception-based one. What this means is that companies make their way into the survey simply because Indian workers want them to be there. Only employees - not students and those not working - were allowed to take part in the survey, which was conducted between August and October 2010, and was open for about 100 days. From 1,000 companies last year, the universe of this year's survey has expanded to 3,700 companies across 350 cities and towns. We reached out to a large employee base again this year (over 8,600 employees).
  • 4. Team Indicus Analytics The Approach: An online survey allowed employees from different kinds of companies to participate and express their views. Online research is known to get more honest opinions. Mailers and other forms of communication were sent to randomly selected 1.5 million possible respondents, out of which about 70,000 (4.7 per cent) came to the survey page. Of these, 8,634 (12.3 per cent) respondents filled out the questionnaire. These respondents, 11 per cent of whom were women, were truly representative of the great Indian workplace (see graphics). Data authenticity was ensured in two ways: a) the questionnaire design itself had built-in verifications that reject responses with contradictory/ incomplete information and; b) a verification backcheck of about 20 per cent of the accepted responses. Overall rejection was under 5 per cent. No one company or a set of companies dominates the sample. No company had more than 30 respondents, and only eight companies had more than 20. The bulk of the companies had only one or two respondents.
  • 5. The Ranking: Survey respondents were asked to select and rank five companies, which in their opinion were the best to work for across industries or sectors. The respondents were then asked to rank these five companies on five parameters - career growth prospects, financial compensation, work-life balance, performance evaluation and other hr practices. The rankings for each of these parameters were restricted to three companies. The ranking of companies within a sector was restricted to people working in that specific industry. Again, each respondent was asked to rank the top five in that industry on each of the above-mentioned parameters with the ranking then whittled to three companies. The final list of best companies to work for overall and within each sector was based on rank scores. Following what statisticians call the 90 per cent rule, Rank 1 got a rank score of 100, Rank 2 received 90, Rank 3: 81, Rank 4: 73 and Rank 5 translated into a rank score of 66. The rank score for each company was aggregated across all respondents and the highest scorer was assigned an index score of 100. Other companies were ranked relatively based on their aggregate scores. This method of scoring and indexing is considered robust in statistics. This is the second year of the survey in its new avatar. Our aim was to make the BT Best Companies to Work For study bigger and comprehensive.
  • 6. Converting ratings into importance weights Respondents were asked to rate the various factors on a scale. These ratings were converted into importance weights (percentage weights summing up to 100 per cent). A respondent assesses n(n-1)/ 2 importance ratios between attributes. This information is stored in the upper (or lower) triangle of a (n x n) matrix, whose typical element ajk represents the weight ratio of wi/wk. The remaining elements of the matrix are filled by employing the reciprocal of the matrix: ajk = 1/akj and ajj = 1, for all j and k. Example: The following pair wise judgments were made We compute the geometric mean of each row of the matrix and then normalise the resulting numbers: The ratings of each respondent are converted into weights. For a given segment of the sample of respondents, the mean weights for every factor are then computed.