DC Pathak | 29 Apr, 2024
Efficiency is classically defined as the measure of productivity per
unit of time and is therefore traditionally linked to the ‘work
attitude’ of the employee, the quality of management that provides for a
strong ‘supervision’, and the system of ‘performance evaluation’ that
was expected to be free of personal bias or favouritism.
There has been a conceptual advancement in the understanding of these roots of efficiency.
The
importance of workplace environment is now recognised in terms of not
only the adequacy of physical ‘equipment’ provided to the employee but
also the harmony and peace in the atmosphere that would add to the ease
of maintaining a ‘work-life’ balance for the individual. This
combination helped the employee to work with concentration -- aided by
freedom from mental distractions -- and thus added to the output against
time.
The concept of supervision has also changed from the
perception of a senior breathing down one’s neck to a boss who nurtured
the junior and made himself or herself available for providing guidance
if sought by the latter.
The modern system of business ensures
adequate ‘training on the job’ for the employee on one hand and
encourages ‘participative management’ emerging out of the conviction
that the entire hierarchy of the enterprise is wedded to the same
organisational goals, on the other.
In ‘performance evaluation’
three things become crucially important. One is rooted in the mandate of
the ‘age of information’ that one has to be a well-informed person to
achieve success in any field. This is because only knowledge-based
decision-making showed the right path.
In judging one’s
performance, the boss should have complete knowledge of the subordinate
-- as an employee with a given work attitude, as a human being with
emotional content and as a person who has burdens and responsibilities
beyond the workplace.
An arid, output-related evaluation as per
prescribed paradigms is to be tempered with the correct knowledge of the
circumstances of the employee that might have caused an unexplained
shortfall.
Secondly, the senior should have an astute ability to
make out the difference between ‘brilliance’ and ‘diligence’ and give
due importance to both -- some people may look very bright and busy but
produce very little at the end of the day. Last but not least, the boss
with a reputation of being transparent and fair in evaluating the
subordinates, retains his or her image as a leader -- biases and
favouritism in making evaluations destroy that image often without the
leader even knowing it.
An important task of Human Resource
development people in an enterprise today is to work out arrangements
for up-skilling those who were not lacking in effort but who had the
potential to enhance the output further through special training.
Cost-effectiveness
is still not fully built into business operations since a generally
prevalent notion is that investment has a direct line to growth and
profitability -- this substantially drove expenditure on sales promotion
through attractive advertisements to cope up with a highly competitive
world.
It is not adequately realised that practising
cost-effectiveness -- even when funds were available -- is an instrument
of profitability since it helps to keep up the given level of
productivity with lesser use of resources -- man, material or money. If
an existing operation can be handled with three persons instead of four
deployed at present or if a process is done in seven stages but could as
well be completed in five steps, then the resource-saving option must
be chosen.
The conceptual understanding involved here is that
cost-effectiveness was in fact increasing the efficiency of the
employees which is a fundamental reason why productivity would increase
as mentioned in the beginning, in terms of ‘time’ taken by the employee.
Time
in today’s competitive environment is now considered the new ‘resource’
besides the traditional assets of manpower, material resources and
funds. If in practising cost-effectiveness, the investment-output ratio
tilted in favour of the latter because of the lesser use of traditional
resources, that was an additional gain. All of this shows that the
awareness of ‘efficiency’ as the key to growth has acquired a new-found
importance.
The advent of Information Technology introducing
instant online communications and business transactions, has pushed
competitiveness to a global level and provided early bird advantage to
those who can press data analytics into use for getting a peep into what
lay ahead in terms of both ‘opportunities’ and ‘risks’.
Artificial
Intelligence is a new frontier of Information Technology that has
opened up a huge requirement of skilled manpower, unfolded for all
businesses new areas of growth and thrown up a debate on its adverse
impact on employment.
It is however, becoming rapidly clear that
AI would create new products and services and this would itself become a
new industry and that most companies would have to enlarge their Human
Resource base putting fears of retrenchment at rest. If there are
layoffs in some companies this would be compensated for by the added
requirement of skilled hands in many others. AI-aided data analytics is
producing immense prospects of growth in the spheres of medical health,
education, entertainment, pharmaceuticals and governance and
establishing new benchmarks of ‘efficiency’ in running businesses in
terms of productivity per unit of time. Like any technology to which
people would have access, AI applications are getting into the hands of
potential lawbreakers and producing new kinds of crime -- financial
frauds and misuse of ‘deep fakes’ are already in the news.
World
powers including India are fortunately working together to check the
perils of AI. This does not, however, detract from the promises that
Artificial Intelligence is offering for the betterment of human life.
The guiding principle in this is to remember that AI applications like
any other computer-based activity, are subject to an input-output
paradigm and that machine learning should be encouraged within the same
thought that it would give the best results when in crucial moments of
decision-making it worked in conjunction with human mind.
Artificial
Intelligence has in a way pushed the frontiers of the ‘knowledge
economy’. Data of the past combined with what is known in the present
was never put to such an advantage for the betterment of the future of
humanity earlier because only now has analytics surpassed the human
capacity for collation and examination.
ChatGPT and its variants
in conjunction with the Large Language Model (LLM) are extremely useful
for education, particularly Law studies, work requiring content and
design generation and research. All this is subject to the generic
advice that any material on the internet should not be presumed to be
factually correct and wherever absolute accuracy of facts was to be
ensured, it is advisable to get confirmation through other sources.
A
great demand put on the leadership of businesses and organisations is
that they themselves had to learn to wield this powerful instrument of
growth and at least had to have the ability to assemble a team of top
professionals around them to handle the AI applications to their
advantage.
Today ‘efficiency’ is the hallmark of any successful
business operation involving delivery on a global base and IT and AI
make it possible to achieve it to the satisfaction of all stakeholders.
Assessment
of moves of the rivals, the study of the market conditions including
customer demand and drawing up of a fool-proof business plan are all
based on analytics involving a billion data and businesses did not have
this advantage earlier.
The world should take delight in the
advancement that a technology combining ‘knowledge’ and ‘efficiency’ has
brought about and continue to explore the marvels that the human mind
aided by machines could produce in this regard.
(The writer is a former Director of the Intelligence Bureau. Views are personal)