Trends in Global Environment: Impact of Technology and Human Algorithm in Workplace
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This article discusses the impact of technology and human algorithm in the workplace and how it affects communication, multi-tasking, and decision-making processes. It also explores short-term and long-term algorithms and the effects of algorithm workforce employment.
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Trends in global environment1 Trends in global environment University name Unite code Student id Due date
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Trends in global environment2 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 21stcentury 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 environment3 algorithmsarecurrentlyemergingtobepartofstrategicmanagementapproachofan organization. Strategic management approach uses humans to be used to provide functions that could be performed by computers(Avrahami, et al., 2018). However,humansareusingcomputeralgorithmstomaketheirworkeasier,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 environment4 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 activityin workplacerelatesto minimizingthe cost of operationin 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 environment5 and thus preventing hacking. The user activity analysis takes into accountmeasures 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 environment6 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 environment7 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 environment8 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 environment9 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.