Trends in Global Environment: Analyzing Algorithms in the Workplace
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This essay examines current trends in the global environment, focusing on the increasing role of technology and algorithms in the workplace. It discusses the concept of human algorithms, where humans contribute to evolutionary processes, and analyzes user activity as a strategic management approach for understanding business operations and customer behavior. The essay also compares short-term and long-term algorithms in decision-making, highlighting their impact on organizational goals. Furthermore, it explores the effects of algorithms on workforce employment, including multi-tasking and communication, ultimately concluding that technology significantly shapes modern business practices and requires careful consideration for sustainable development.

Trends in global environment 1
Trends in global environment
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Trends in global environment
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Trends in global environment 2
Trends in global environment
Introduction
Discussion on trends relating to global environment goes around increasing population,
rising economic fortunes for developing nations, global food distribution issues. Technology is
also part of the discussion which has remained as a major concern to many authors. Technology
has been the backbone of every sector in the current business environments. Currently, every
organization in 21st century is abiding by new change of managements approaches that are
promoted by new innovations and technological approaches (Brynjolfsson & Mitchell, 2017).
The impact of technology in the workplace has been gigantic within the past decades with
both positive and negative consequence being experienced. The aspect of communication though
computers and other technological devices in workplace have been the gear changer for the
technology to be used in workplaces. In the current business world, many business organizations
tend to apply both manual and automatic business activities, especially during the production and
service provision processes. In most cases, discussion on technology has resulted into a new
effective way that relates to management, algorithm is the primary concept that explains the
relationship between human beings and computer in workplaces (Gibbs, 2017).
Human Algorithm
The human-based genetic algorithm is a genetic algorithm that allows humans to
contribute relevant solution relating to evolutionary process. The algorithm has the human
interface that allows the initialization as well as the selective evaluation. The human-based
genetic algorithm are known to be instruction for solving specific issues in an organization as
well as completing task relating to organizational task. Self-learning and self-programming
Trends in global environment
Introduction
Discussion on trends relating to global environment goes around increasing population,
rising economic fortunes for developing nations, global food distribution issues. Technology is
also part of the discussion which has remained as a major concern to many authors. Technology
has been the backbone of every sector in the current business environments. Currently, every
organization in 21st century is abiding by new change of managements approaches that are
promoted by new innovations and technological approaches (Brynjolfsson & Mitchell, 2017).
The impact of technology in the workplace has been gigantic within the past decades with
both positive and negative consequence being experienced. The aspect of communication though
computers and other technological devices in workplace have been the gear changer for the
technology to be used in workplaces. In the current business world, many business organizations
tend to apply both manual and automatic business activities, especially during the production and
service provision processes. In most cases, discussion on technology has resulted into a new
effective way that relates to management, algorithm is the primary concept that explains the
relationship between human beings and computer in workplaces (Gibbs, 2017).
Human Algorithm
The human-based genetic algorithm is a genetic algorithm that allows humans to
contribute relevant solution relating to evolutionary process. The algorithm has the human
interface that allows the initialization as well as the selective evaluation. The human-based
genetic algorithm are known to be instruction for solving specific issues in an organization as
well as completing task relating to organizational task. Self-learning and self-programming

Trends in global environment 3
algorithms are currently emerging to be part of strategic management approach of an
organization. Strategic management approach uses humans to be used to provide functions that
could be performed by computers (Avrahami, et al., 2018).
However, humans are using computer algorithms to make their work easier, but
sometimes the computer may fail in workplaces demanding staff members to perform the
essentials roles that could have been played by the computers. For instance, computer software’s
are known to be used in modern workplaces, these software applications are used to process and
produce payrolls for the employees ( Zhang & Zhou, 2015).
When the software application fails, the employees in finance department are compelled
to use manual process of ensuring that all organization process are running effectively. Many
business organizations are working towards maintaining their reputation by ensuring that they
provide essential technology elements to employees in their work place. Therefore, human
algorithm approaches need to be well-design in order to meet the organizational demands, they
should be design to ensure effective decision making process that relates to organizational goals
and objectives (Herd, 2017).
Additionally, technology in work places in relation to human algorithms takes the
assumptions of creating favorable working environment for the employees. This is by allowing
employees to have interaction between themselves and their top managers, the social media
algorithms provide platform for all organizational members to interact and discuss issues relating
to organizational operations. In order to provide effective human algorithm, the top organization
management require to comply with human resource department who are concerned with the
workplace and its operations (Katsikeas, 2018).
algorithms are currently emerging to be part of strategic management approach of an
organization. Strategic management approach uses humans to be used to provide functions that
could be performed by computers (Avrahami, et al., 2018).
However, humans are using computer algorithms to make their work easier, but
sometimes the computer may fail in workplaces demanding staff members to perform the
essentials roles that could have been played by the computers. For instance, computer software’s
are known to be used in modern workplaces, these software applications are used to process and
produce payrolls for the employees ( Zhang & Zhou, 2015).
When the software application fails, the employees in finance department are compelled
to use manual process of ensuring that all organization process are running effectively. Many
business organizations are working towards maintaining their reputation by ensuring that they
provide essential technology elements to employees in their work place. Therefore, human
algorithm approaches need to be well-design in order to meet the organizational demands, they
should be design to ensure effective decision making process that relates to organizational goals
and objectives (Herd, 2017).
Additionally, technology in work places in relation to human algorithms takes the
assumptions of creating favorable working environment for the employees. This is by allowing
employees to have interaction between themselves and their top managers, the social media
algorithms provide platform for all organizational members to interact and discuss issues relating
to organizational operations. In order to provide effective human algorithm, the top organization
management require to comply with human resource department who are concerned with the
workplace and its operations (Katsikeas, 2018).

Trends in global environment 4
Analyzing use activity
Analyzing user activity is a strategic management that allows the organization to have an
understanding about the ongoing business activities. It allows the organizations management to
have an insight view about how certain data could be handle and analyze in decisional making
process. The process of analyzing user activity allows the evaluation of big data that relating to
large business operations. The analysis relating user activity is basically a pertinent measure
which relevant in economic enhancement, especially for commercial purpose. The present
business environment allows the companies to analyze the data for each and every stakeholder.
The analysis of user activities is also relevant in comprehending the departmental activities in
relation to promotion of cost effective production and operational business activities (Ocasio, et
al., 2018).
Customer data
Customer data are basically used to evaluate their demands as well as their response
concerning the products and service provision to them. However, the analyzing user activity is a
trending organizational business approach which is applied in the workplaces. The user activity
analysis is essential in creating customer information which is important to the management
while discussing in how better they can promote sustainable customer relationship. Analyzing
user activity in workplace relates to minimizing the cost of operation in workplace, by
monitoring the use of facilities used in workplace. This implies that the user activity is used for
monitoring in form of surveillance as it serves as the proactive review of end user activity, this is
with the purpose of determining misused of access to relevant financial data for the company,
Analyzing use activity
Analyzing user activity is a strategic management that allows the organization to have an
understanding about the ongoing business activities. It allows the organizations management to
have an insight view about how certain data could be handle and analyze in decisional making
process. The process of analyzing user activity allows the evaluation of big data that relating to
large business operations. The analysis relating user activity is basically a pertinent measure
which relevant in economic enhancement, especially for commercial purpose. The present
business environment allows the companies to analyze the data for each and every stakeholder.
The analysis of user activities is also relevant in comprehending the departmental activities in
relation to promotion of cost effective production and operational business activities (Ocasio, et
al., 2018).
Customer data
Customer data are basically used to evaluate their demands as well as their response
concerning the products and service provision to them. However, the analyzing user activity is a
trending organizational business approach which is applied in the workplaces. The user activity
analysis is essential in creating customer information which is important to the management
while discussing in how better they can promote sustainable customer relationship. Analyzing
user activity in workplace relates to minimizing the cost of operation in workplace, by
monitoring the use of facilities used in workplace. This implies that the user activity is used for
monitoring in form of surveillance as it serves as the proactive review of end user activity, this is
with the purpose of determining misused of access to relevant financial data for the company,
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Trends in global environment 5
and thus preventing hacking. The user activity analysis takes into account measures such as
network packet inspection, keystroke logging and kernel monitoring (Ocasio, et al., 2018).
Short term verses Long term algorithms
Both short term and long term algorithms are necessary business approaches used in
decision making process. The use of computer in workplaces is at the peak since it promotes
competitive business activities, the organizational management use the scheduling algorithm that
decides which on the activities that could be perform at any other time (Katsikeas, 2018).
The computer algorithm in an organization are able to provide green light for short term
algorithms which acts as the foundation of making relevant decisions concerning organizational
operations. The short term algorithm runs the technical part of the organization, since it is based
on stakeholder operation towards realization of organizational strategic goals and objectives. The
scheduling algorithm is fundamental in addressing arising issues in ab organization (Barley,
2017). This algorithm, takes into account the departmental decisions which does not affect the
operation of the organization. The generated ideas applied in short term scheduling algorithm
could be used in general organizational processes and decisional making procedures (Wensveen,
2018) .
Long-Term scheduling algorithm is essential management approached advanced from the
short term algorithm. It is a trending business approach that is applied by business organization
with the objective of remaining reputable in their market industries. The long term algorithm
takes into consideration involvement of top organizational management in decision making. The
ideas that works well in organizational departments are used to provide significant information
used in organizational decisional procedures. The long-term algorithm limits the degree of multi-
and thus preventing hacking. The user activity analysis takes into account measures such as
network packet inspection, keystroke logging and kernel monitoring (Ocasio, et al., 2018).
Short term verses Long term algorithms
Both short term and long term algorithms are necessary business approaches used in
decision making process. The use of computer in workplaces is at the peak since it promotes
competitive business activities, the organizational management use the scheduling algorithm that
decides which on the activities that could be perform at any other time (Katsikeas, 2018).
The computer algorithm in an organization are able to provide green light for short term
algorithms which acts as the foundation of making relevant decisions concerning organizational
operations. The short term algorithm runs the technical part of the organization, since it is based
on stakeholder operation towards realization of organizational strategic goals and objectives. The
scheduling algorithm is fundamental in addressing arising issues in ab organization (Barley,
2017). This algorithm, takes into account the departmental decisions which does not affect the
operation of the organization. The generated ideas applied in short term scheduling algorithm
could be used in general organizational processes and decisional making procedures (Wensveen,
2018) .
Long-Term scheduling algorithm is essential management approached advanced from the
short term algorithm. It is a trending business approach that is applied by business organization
with the objective of remaining reputable in their market industries. The long term algorithm
takes into consideration involvement of top organizational management in decision making. The
ideas that works well in organizational departments are used to provide significant information
used in organizational decisional procedures. The long-term algorithm limits the degree of multi-

Trends in global environment 6
tasking as it prevents slow performance in the organization. Therefore, the combination of short-
term and long-term algorithm are considered to be primary elements which are applied to
enhance sustainable business development and growth with regards to effective course of actions
that are taken into account by the management (Shakya & Owusu, 2018).
Effects of algorithm workforce employment
Algorithm in workforce implies the use of automation jobs designs in the organization.
The employees in an organization rely on the algorithm approaches applied by the top
management. Technology is currently changing the way business operations are undertaken.
Employees in a workplace tend to demand the new technological innovation which they believe
they are of importance in their operations (Scott, et al., 2017).
Multi-tasking
Technology has influence the performance of employees in an organization, as compared
to the past decades. Innovation and technology has been ascertained by the organization
management as the approached that define sustainable business development and growth. It is
confirmed that employees who uses technology in their operations tend to perform more duties
that enhances quality service delivery as well effective customer relationship (Katsikeas, 2018).
Communications
Technology algorithm in organization has discussed as the primary element that allows a
business enterprise to work towards achieving its strategic goals and objectives. Communication
is pragmatic component that implies passing information from one person to another one. With
tasking as it prevents slow performance in the organization. Therefore, the combination of short-
term and long-term algorithm are considered to be primary elements which are applied to
enhance sustainable business development and growth with regards to effective course of actions
that are taken into account by the management (Shakya & Owusu, 2018).
Effects of algorithm workforce employment
Algorithm in workforce implies the use of automation jobs designs in the organization.
The employees in an organization rely on the algorithm approaches applied by the top
management. Technology is currently changing the way business operations are undertaken.
Employees in a workplace tend to demand the new technological innovation which they believe
they are of importance in their operations (Scott, et al., 2017).
Multi-tasking
Technology has influence the performance of employees in an organization, as compared
to the past decades. Innovation and technology has been ascertained by the organization
management as the approached that define sustainable business development and growth. It is
confirmed that employees who uses technology in their operations tend to perform more duties
that enhances quality service delivery as well effective customer relationship (Katsikeas, 2018).
Communications
Technology algorithm in organization has discussed as the primary element that allows a
business enterprise to work towards achieving its strategic goals and objectives. Communication
is pragmatic component that implies passing information from one person to another one. With

Trends in global environment 7
the help of technology, organizational employees with the management have develop
organizational behavior which has promoted effective business operations. On the other hand,
communication in workplace has acted as a motivational element in an organization, employees
in their workplaces are provided with phones, and even free network which they can use to
interact between their selves (Punnett & Procare Research Team, 2017).
Conclusion
Business is getting mixed with many business aspects, technology is one of the major aspect that
affects how business activities are conducted. The human algorithm is a modern business
approach which allows humans to provide solutions which could have been provided by the
computers. The short-term and long-term algorithms are also the trending business approaches
which allows the organizational management to reach out to relevant conclusion while making
decision. However, the paper has discussed on the effects of technology algorithm in workplace,
technology has change the face of communication in the organization. It has also allowed
employees to perform more duties at the same time. All discussion made on the paper embraces
the new trends in global business environment.
the help of technology, organizational employees with the management have develop
organizational behavior which has promoted effective business operations. On the other hand,
communication in workplace has acted as a motivational element in an organization, employees
in their workplaces are provided with phones, and even free network which they can use to
interact between their selves (Punnett & Procare Research Team, 2017).
Conclusion
Business is getting mixed with many business aspects, technology is one of the major aspect that
affects how business activities are conducted. The human algorithm is a modern business
approach which allows humans to provide solutions which could have been provided by the
computers. The short-term and long-term algorithms are also the trending business approaches
which allows the organizational management to reach out to relevant conclusion while making
decision. However, the paper has discussed on the effects of technology algorithm in workplace,
technology has change the face of communication in the organization. It has also allowed
employees to perform more duties at the same time. All discussion made on the paper embraces
the new trends in global business environment.
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Trends in global environment 8
References
Zhang, Y. & Zhou, N., 2015. The effect of employee treatment policies on internal control
weaknesses and financial restatements. The Accounting Review, 91(4), pp.1167-1194. s.l.:s.n.
Avrahami, D., Lu, D., Marlow, J. & Kocielnik, R., 2018. Challenges and Opportunities for
Technology-Supported Activity Reporting in the Workplace. analysis, 13, p.31. s.l.:s.n.
Barley, W. C., 2017. Technology–Organization Relationship. The International Encyclopedia of
Organizational Communication. s.l.:s.n.
Brynjolfsson, E. & Mitchell, T., 2017. What can machine learning do? Workforce implications.
Science, 358(6370), pp.1530-1534.. s.l.:s.n.
Gibbs, M., 2017. How is new technology changing job design?. IZA World of Labor.. s.l.:s.n.
Herd, A., 2017. Shifting practices in digital workplace learning: An integrated approach to
learning, knowledge management, and knowledge sharing. s.l.:s.n.
Katsikeas, C., 2018. Special Issue on the Future of International Marketing: Trends,
Developments, and Directions.. s.l.:s.n.
Ocasio, W., Laamanen, T. & Vaara, 2018. Communication and attention dynamics: An attention‐
based view of strategic change.. Strategic Management Journal, 39(1), pp. 155-167..
Punnett, L. & Procare Research Team, 2017. Associations Among Health Care Workplace
Safety, Resident Satisfaction, and Quality of Care in Long-Term Care Facilities.. Journal of
occupational and environmental medicine, 59(11), pp.1127-1134.
References
Zhang, Y. & Zhou, N., 2015. The effect of employee treatment policies on internal control
weaknesses and financial restatements. The Accounting Review, 91(4), pp.1167-1194. s.l.:s.n.
Avrahami, D., Lu, D., Marlow, J. & Kocielnik, R., 2018. Challenges and Opportunities for
Technology-Supported Activity Reporting in the Workplace. analysis, 13, p.31. s.l.:s.n.
Barley, W. C., 2017. Technology–Organization Relationship. The International Encyclopedia of
Organizational Communication. s.l.:s.n.
Brynjolfsson, E. & Mitchell, T., 2017. What can machine learning do? Workforce implications.
Science, 358(6370), pp.1530-1534.. s.l.:s.n.
Gibbs, M., 2017. How is new technology changing job design?. IZA World of Labor.. s.l.:s.n.
Herd, A., 2017. Shifting practices in digital workplace learning: An integrated approach to
learning, knowledge management, and knowledge sharing. s.l.:s.n.
Katsikeas, C., 2018. Special Issue on the Future of International Marketing: Trends,
Developments, and Directions.. s.l.:s.n.
Ocasio, W., Laamanen, T. & Vaara, 2018. Communication and attention dynamics: An attention‐
based view of strategic change.. Strategic Management Journal, 39(1), pp. 155-167..
Punnett, L. & Procare Research Team, 2017. Associations Among Health Care Workplace
Safety, Resident Satisfaction, and Quality of Care in Long-Term Care Facilities.. Journal of
occupational and environmental medicine, 59(11), pp.1127-1134.

Trends in global environment 9
Scott, J. C., Bartram, D. & Reynolds, D. H., 2017. Next Generation Technology-Enhanced
Assessment: Global Perspectives on Occupational and Workplace Testing. Cambridge
University Press. s.l.:s.n.
Shakya, S. & Owusu, G., 2018. A Genetic Algorithm Based System for Simultaneous
Optimisation of Workforce Skills and Teams. KI-Künstliche Intelligenz, pp.1-16.. s.l.:s.n.
Wensveen, J., 2018. Air transportation: A management perspective.. s.l.:Routledge.
Scott, J. C., Bartram, D. & Reynolds, D. H., 2017. Next Generation Technology-Enhanced
Assessment: Global Perspectives on Occupational and Workplace Testing. Cambridge
University Press. s.l.:s.n.
Shakya, S. & Owusu, G., 2018. A Genetic Algorithm Based System for Simultaneous
Optimisation of Workforce Skills and Teams. KI-Künstliche Intelligenz, pp.1-16.. s.l.:s.n.
Wensveen, J., 2018. Air transportation: A management perspective.. s.l.:Routledge.

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