Trends in Global Environment: Article Analysis Report

This report provides an analysis of an article discussing the relationship between algorithms and managers in the context of global environmental trends and business development. The article examines how managers utilize algorithms, emphasizing the need for understanding their operations and potential risks. It explores key questions such as why algorithms may be considered 'unsmart,' the appropriate managerial approach for achieving goals, the attributes needed for creating effective vision statements, and how to leverage limitations in big data. The literature review delves into topics like crowdsourcing, performance appraisals, employee commitment, and the impact of big data on business strategies. The report highlights the importance of setting short-term goals, narrowing searches, and adapting to the evolving landscape of data-driven decision-making. The report emphasizes the importance of understanding algorithms and adapting business strategies.

Running head: TRENDS IN GLOBAL ENVIRONMENT
Article analysis
Name of the student:
Name of the university:
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TRENDS IN GLOBAL ENVIRONMENT
Table of contents
Summary of the article...............................................................................................................2
Key questions.............................................................................................................................3
Literature review........................................................................................................................3
References..................................................................................................................................8

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Luca, M., Kleinberg, J. and Mullainathan, S., 2016. Algorithms need managers,
too. Harvard business review, 94(1), p.20.
Summary of the article
The article reflects the relation between algorithm and the managers. Rather, it can be
said the article projects the techniques applied by the managers for using the algorithms. The
adverb “too” enlists the managers in the list along with the managers in terms of carrying out
algorithmic calculations (Luca, Kleinberg and Mullainathan 2016).
The article starts with the functionalities of the managers, involving predictions.
However, the usual connotations of the managerial functions relates to the regulating the
performance of the staffs. Countering this, predictions are needed in terms of estimating the
achievement of success and the time when the goals and the objectives would be achieved.
As a matter of specification, the article assumes that algorithms make the predictions
accurate. However, lack of understanding towards the operations of the algorithms aggravates
the risks. Herein lays the appropriateness of the example, which the article refers for
enlivening the importance of algorithms in the workplace activities (Luca, Kleinberg and
Mullainathan, 2016).
Algorithms in the social media gain an important position in the article. Typical
examples of this are pay per click advertising, which increases the trafficking of the audience
towards the brand image. Prevalence of the issues reflects the alarming tone of the article in
terms of identifying new data sources.
The article also provides an insight into the vision of the managers, which needs to be
explicit for the achievement of goals and objectives. Setting short term goals is productive in
terms of achieving long term benefits. Narrowing the search is a wise step towards reaching

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to the targeted goals and objectives. Here, weakness is the stepping stones for the managers
in terms of upgrading the standards and quality of the business (Luca, Kleinberg and
Mullainathan, 2016).
Key questions
From the assumptions of the article, the following questions can be developed:
 Why the smart algorithms are unsmart?
 Which is the appropriate status of the managers towards achievement of the goals?
 What are the attributes, which the managers need to bear in mind while preparing the
vision statement?
 How can the limitations be used for approaching the big data?
Literature review
Question 1: Why the smart algorithms are unsmart?
Glaeser, E.L., Hillis, A., Kominers, S.D. and Luca, M., 2016. Crowdsourcing city
government: Using tournaments to improve inspection accuracy. American Economic
Review, 106(5), pp.114-18
Personification of the algorithms enables the personnel to achieve an easy grasp over
the operations and functions. This is specifically applicable in the process of automated call
functions. Common perceptions about algorithm are misleading, as they are equated with that
of an employee, colleague or supervisor. However, the difference between humans and
algorithms lies in literal extremity an ombre shade. Literal extremity relates with the
obedience, which the robots need to expose towards the levied instructions (Glaeser et al.

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2016). Here every other consideration is ignored. Herein, the external environment attains a
negative connotation.
Consideration of the big data helps in catering to the targets of the big cities. Typical
example of this is the hygiene inspection. Herein lays the role of the government, where there
is a dearth of talents regarding making predictions through algorithms. The article proposes
the solution of hiring consultants, who would prepare the statistical data. However, the better
option is to use crowd source competence through the means of publicizing the data. Rewards
are effective in terms of luring the consultants towards the act of crowd sourcing. This would
establish accurate statistical data (Glaeser et al. 2016).
Key question 2: Which is the appropriate approach of the managers towards
achievement of the goals?
Lee, T.W. and Steers, R.M., 2017. Facilitating effective performance appraisals: The
role of employee commitment and organizational climate. In Performance measurement
and theory (pp. 75-93). Routledge.
The paper sheds light on the performance appraisals, which indicates the approach of
the staffs towards the business activities. The managers need to be explicit in terms of setting
the goals. Objectives and directives are the common features in terms of fulfilling the
identified and the specified targets. However, the end does not always seem satisfactory.
However, the managers need to set short-term goals for improving the focus (Lee and Steers
2017). Taking into consideration algorithms would help the managers to remain focused on
the identified and the specified objectives. With algorithms, the managers can easily measure
the targeted goals. This also helps in measuring the accuracy of the results and their analysis.
Herein lays the collaboration with the aspect of “organizational climate”. Commitment relates
to the approach of the employees regarding the use of algorithm for doing the calculation.

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Key question 3: What are the attributes, which the managers need to bear in mind
while preparing the vision statement.
Alt, E., Díez-de-Castro, E.P. and Lloréns-Montes, F.J., 2015. Linking employee
stakeholders to environmental performance: the role of proactive environmental
strategies and shared vision. Journal of Business Ethics, 128(1), pp.167-181.
Narrowing down the search is the most innovative technique for achieving the goals
and objectives. Considering the demand supply curve, for doing the algorithmic calculations,
leads to the betterment of the organization. This calculation helps in forecasting the profit
margin and revenue. The employees in the organization hail from different backgrounds;
however, they are instructed to share a common vision, which is, taking the company or
organization to the peak of success (Alt et al. 2015). Strategies act assistance for the
personnel in terms of systematizing the business activities. Inclusion of adopting latest and
modern algorithm software, within the strategies, is a wise step of the personnel. This is in
terms of enhancing the employee performance. Involvement of the employees in preparing
the strategies makes them proactive, as they are the ones who would be using the algorithms
for calculating the profit.
Wideness of the data can make the personnel confused. Therefore, narrowing the
search to specific needs is a wise step towards the achievement of positive results. Innovation
in this sense would mean usage of search engine optimization for searching the ways to
increase the sales revenue (Alt et al. 2015).
However, some of the business critics are of the view that algorithms are myopic.
This is because of the short term impacts, which compels the personnel to suffer from losses.
Here, the identified strategies achieve a negative connotation. Moreover, the staffs rely on the
data at hand, which limits their performance within a certain limit. This limitation is an

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obstacle into their professional development. Therefore, training is needed in terms of making
the employees aware of the importance of envisioning long term success (Alt et al. 2015).
Key question 4: How can the limitations be used for approaching the big data?
Cukier, K. and Mayer-Schoenberger, V., 2013. The rise of big data: How it's changing
the way we think about the world. Foreign Aff., 92, p.28.
Internet has narrowed down the worldly matters for the people. As a matter of
specification, internet has altered the lifestyle of the people. One of the important components
of internet is big data, which has digitalized communication. This digitalization has eased the
process of data collection. As a matter of specification, there is a set of data, which resulted in
the creation of something, which is a wonder for the human thought process. The major drive
behind this is the selection of data and the approaches behind it (Cukier and Mayer 2013).
Wide-ranging data is better, as it helps in exploring the unexplored facts. Most of the
companies tend to think big when it comes to targeting the customers. However, when it
comes to data entry for the expenditure, there are arrears, resulting in wrong predictions.
With the advancement of science, the managers are provided with readymade solutions for
modification of the wrongly input data. Typical example of this is the latest version of excel,
where, clues can be inserted for remembering the features to be entered into the cell (Cukier
and Mayer 2013).
The nature of data is diverse, which adds to the complexities of the personnel. In this
context, reaching to the appropriate data is a distant hope. Difference in the data compels the
staffs to suffer from stress, as they lead to wrong predictions and results. Similarity in the
data sets does not add to the profit. Uniqueness in the data sets, adds value. Here, the
approach of the personnel is important. The psychologists recommend perceiving the data to

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be a gift from the friends. Countering this, not all of the staffs possess the same mentality.
Some needs to be explained hundred times, after which they emerge successful in calculating
the cause and the effect (Cukier and Mayer 2013). Some others are so intelligent, that they
grasp the concepts at one explanation. The managers need to provide enough motivation, so
that the staffs get equal treatment in terms of gaining understanding of the algorithmic
calculations. This is because of the teamwork, which is needed for producing the data and
reports.

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References
Alt, E., Díez-de-Castro, E.P. and Lloréns-Montes, F.J., 2015. Linking employee stakeholders
to environmental performance: the role of proactive environmental strategies and shared
vision. Journal of Business Ethics, 128(1), pp.167-181.
Cukier, K. and Mayer-Schoenberger, V., 2013. The rise of big data: How it's changing the
way we think about the world. Foreign Aff., 92, p.28.
Glaeser, E.L., Hillis, A., Kominers, S.D. and Luca, M., 2016. Crowdsourcing city
government: Using tournaments to improve inspection accuracy. American Economic
Review, 106(5), pp.114-18.
Lee, T.W. and Steers, R.M., 2017. Facilitating effective performance appraisals: The role of
employee commitment and organizational climate. In Performance measurement and
theory (pp. 75-93). Routledge.
Luca, M., Kleinberg, J. and Mullainathan, S., 2016. Algorithms need managers, too. Harvard
business review, 94(1), p.20.