Information System Assignment: Reflection On Importance Of IS Using Kolb’s Learning Cycle

Question

Task: Write a reflective report on information system assignment critically reflecting on the usage of information system.

Answer

Introduction to information system assignment:
Information system, an interconnected set of elements for data collection, storage and processing, as well as data, learning and provision of digital outcomes. For carrying as well as maintaining the activities, interact with the potential customers and vendors, and survive in the industry, business organizations and various other entities depend on the IS (Information Systems). The management of inter-organizational distribution networks and online markets uses IS. For instance, organizations and other corporations utilizes the information systems for processing financial statements, handling the organization’s human resources, and utilize online promotions to lure their target audience. The report has been prepared on the basis of Kolb’s Learning Cycle following the stages of the cycle.

Step 1: Concrete experience:
In this course, I have learnt the importance and the use of information systems in everyday life as well as in the businesses. Information Technology (IT) has now become an essential thing for individuals and organizations in daily life. The ways people are living and communicate with one another and the way companies perform their business practices have changed. With the developments in IT, including the use of Automated Teller Machine, emails, distance learning, and shopping online, to name a few, many new ways of providing services and running a business are being accomplished. Inside the digital world, disruptive developments are emerging. This not only impacts company practices but transforms the way to engage with and sell to consumers. I have learnt and experience about the evolution of the information systems over time (DeLone and McLean, 2016). Information systems and organizational structures have been closely related to one another. Over the years, the architectures of information systems and organizational frameworks have grown from centralized to more decentralized types.

Step 2: Reflective Observation:
In the digital transformation, data play a very vital and crucial role. Good data helps companies to set baselines, benchmarks, and targets to continue to move forward. They will be able to create baselines, find metrics and set performance targets because data helps businesses to compare. A baseline is what a particular environment looks like before introducing a new solution. In a similar population, benchmarks determine where others are at. Data collection would allow the company to establish objectives. A data-driven climate is the new business marketplace. The task of data is to enable business leaders, based on evidence, patterns and statistical figures, to make decisions (Beck et al., 2017). Yet business executives need to be able to sift through the noise of so much information out there, to get the right information, so they can make the best strategic and development decisions. It also provides a brief knowledge about knowledge management and big data. Any type of Information systemswhich maintains as well as collects consciousnessfor enhancing coordination, comprehension, as well as process arrangement is known as the management of system management. Inside the companies or groups, the systems of knowledge managementare able to operate, and they could also be utilized to focus the organizations’ users or customers on the base of knowledge. Perhaps the most basic conception of information management is the distinction between implicit and explicit knowledge. The standardized collection of data which can be recognized, registered, stored and exchanged is explicit knowledge. Although Tacit Awareness is the understanding gained by one's own experience, which cannot be easily conveyed by words or photographs. The assessment also helps to understand the knowledge management cycle (Reschenhofer et al., 2016). The KMC demonstrates the ways in which organizations manage information at different points of their organizational lives. It systematically tells us how, through the development and implementation process, information is converted into knowledge. In order to become a precious strategic asset for the company, it can be visualized as the path that knowledge follows. It also describes how information in an organization is captured, stored and transmitted. In Knowledge management cycle the Institutions need to: i)gain and collect knowledge, ii) organize and preserve knowledge, iii) retrieve knowledge as necessary, iv) distribute knowledge as required, and v) preserve knowledge currency, relevance, and value. The KMC provides for the identification of existing knowledge (internally or externally), the preparation of what knowledge can be needed and acquired, the creation of knowledge, the dissemination of knowledge where possible, the promotion of the use of knowledge, the management or preservation of the standard of knowledge and the disposal of knowledge if it is no longer necessary. It is very important to understand information and systems to understand the business information systems. It is a collection of interconnected elements that work together to carry out actions in the fields of data, production, output, processing and management in order to turn data into information items which could be used in an enterprise to facilitate prediction, planning, monitoring, management, decision-making and functional tasks. It also gives a brief understanding of enterprise information management and its privacy and security. Data breaches are now on the increase, making enterprise and IT executives main concerns for information privacy. The risks of today are more powerful than before, with workers cited as the key danger (Wiesche et al. 2017). In conjunction with the proliferation of data protection legislation, this trend has led to the realization that Enterprise Information Management systems are must-have data security and regulatory enforcement tools.

Step 3: Abstract Conceptualization:
There are various new and interesting concepts and topics which gives wide knowledge of the information systems. It gives a brief understanding of the information systems and its evolution over the period of time. There is more to information systems than computer program or a database. This is a collection of procedures, instruments as well as standards that enables us to successfully plan details, function effectively, facilitate business processes, effectively communicate, and make good decisions more significantly (Liu, Santhanam and Webster, 2017). The collection of information from different processfor producing data in the form of report or various different output which are helpful for maintain an entity, its operation or company is how information systems become so important. In simple terms, Information systems process the data into concrete knowledge and information. Over the past 50 years, the development of the Information system sector has made considerable progress. Modern specializations and research organizations have arisen as the field has evolved, and the level of analysis has risen exponentially. With the punch card, electronic calculator, all is taken up and today it has progressed to e-business e-commercialism and the latest innovation, mobile technology and cloud computing. Information systems do not have a set category or "type" (Kordab and Raudelinien, 2018).

Understanding the role and importance of the EA Enterprise Architecture is very important and crucial to the management and represents Information technology and the business in a holistic way. An EA (Enterprise Architecture) is a theoretical model which definesorganizational establishment as well as functioning. The aim of the Enterprise Architecture or EA is to determine the ways an entity can effectively achievetheir present as well as future missions and aims. EAneeds the procedure of estimating an entity, designing, processing as well as succeeding executions of the research. For achieving the models which correctly reflect company behavior as well as resources and guide them for making acceptable decisions of business, modelling has become decisive (Iqbal, 2017). While experts may manually model EA representations, automated EA processing systems have been suggested for dealing with the disadvantages of manual modelling. For instance, error-proneness, consumption of time, poor or slow re-adaptation, and cost-effectiveness (Dang and Pekkola, 2017). The assessment also provides a wide knowledge of Business information systems and information systems and the role of information systems in competitive advantages. When used to provide managers with knowledge for the decision-making processes, information systems become a framework of management information (Gong and Janssen, 2019). The purpose of such information systems is to provide management with relevant information so that it helps to work.

Since decision-making is the most important task conducted at various levels by executives, the most essential aim of any management information system is data which enables management to make judgements. A Competitive Advantage is obtained when a company in that segment of the market or in some cases around the entire market can do anything, procedure, operation, etc. more efficiently and or accurately than the others (Hendy et al., 2020). Whether the company uses a low-cost approach, cost/price differential, or what you have, the purpose is assisted by an information system. In the corporate world of today, a well designed and implemented information system is crucial. Well executed and implemented information systems are key resources for the Competitive Advantage mission.

Step 4: Active Experimentation:
The knowledge gained from this assessment will be a great help to the studies as well as the work environment. It gives a very brief description of the information systems and the effective use of the information system strategy in the business. The strategy formulation of information systems enables it to have specific aims and objectives on its own (Schniederjans, Curado and Khalajhedayati, 2020). Information systems may be used strategically to enhance the organization's implementation or operation. This helps to increase productivity and results overall. Link clients and vendors to the company. This means that the institution's response time is lower and that the company's productivity increases. To provide important details about the company to top executives. This contributes to better management as the flow of data increases and leads to better decision-making. To allow goods and services to be improved. This assists in the company's competitiveness. In preparing for information technology, the organization's business strategy is essential (Abubakar et al., 2019). The information management strategy is set up in a way that, even in the near future, promotes the company's strategic goals. It is for this purpose that the strategic position of the information system in the design phase itself must be clearly established.

Conclusion:
The information systems exerted a profound impact on society as they allowed more diverse human activities. These structures increased the speed of everyday operations, allowed individuals to establish and sustain new and sometimes more fulfilling relationships, altered organizational structure and mix, changed the type of goods purchased, and affected the nature of work. Vital economic tools have become information and awareness. In this paper, the reflective observation, abstract conceptualization and active experimentation have been discussed briefly.

Reference List
Abubakar, A.M., Elrehail, H., Alatailat, M.A. and Elci, A., 2019.

Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 4(2), pp.104-114.https://www.sciencedirect.com/science/article/pii/S2444569X17300562

Beck, R., Avital, M., Rossi, M. and Thatcher, J.B., 2017. Blockchain technology in business and information systems research.https://link.springer.com/content/pdf/10.1007/s12599-017-0505-1.pdf

Dang, D.D. and Pekkola, S., 2017. Systematic Literature Review on Enterprise Architecture in the Public Sector. Electronic Journal of e-Government, 15(2).https://www.researchgate.net/profile/Duong_Dang11/publication/309291408_Systematic_Literature_ Review_on_Enterprise_Architecture_in_the_Public_Sector/links/58d3c2c8458515e6d902fae6/ Systematic-Literature-Review-on-Enterprise-Architecture-in-the-Public-Sector.pdf

DeLone, W.H. and McLean, E.R., 2016. Information systems success measurement. Foundations and Trends® in Information Systems, 2(1), pp.1-116.https://www.researchgate.net/profile/Yagnesh_Sondarva2/post/How_do_we_measure_effectiveness_ of_Information_Systems_in_an_organization2/attachment/5ed9071039f1f30001618c18/AS% 3A898711634849794%401591280959851/download/Information+Systems+Success+Measurement.pdf

Gong, Y. and Janssen, M., 2019. The value of and myths about enterprise architecture. International Journal of Information Management, 46, pp.1-9.https://www.sciencedirect.com/science/article/pii/S0268401217305492

Hendy, T., Johanes, F.A., Fergyanto, E.G. and Jordy, M., 2020. Enterprise Architecture Artifacts Enablers for IT Strategy and Business Alignment in Forwarding Services.Information system assignmentInternational Journal of Advanced Trends in Computer Science and

Engineering, 9(2), pp.1465-1472.http://eprints.upj.ac.id/id/eprint/511/ Iqbal, B.A., 2017. Knowledge Management Cycle. In Handbook of Research on Tacit Knowledge Management for Organizational Success (pp. 54-75). IGI Global.https://www.igi-global.com/chapter/knowledge-management-cycle/181346 Kordab, M. and Raudelinien, J., 2018. Knowledge Management Cycle: A Scientific.https://www.researchgate.net/profile/Jurgita_Raudeliuniene/publication/327737454_ KNOWLEDGE_MANAGEMENT_CYCLE_A_SCIENTIFIC_LITERATURE_REVIEW/links/ 5ba205fb92851ca9ed14de57/KNOWLEDGE-MANAGEMENT-CYCLE-A-SCIENTIFIC-LITERATURE-REVIEW.pdf

Liu, D., Santhanam, R. and Webster, J., 2017. Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems. MIS quarterly, 41(4).https://carlsonschool.umn.edu/sites/carlsonschool.umn.edu/files/2019-07/LiuSanthanamWebster-MeaningfulEngagement.pdf

Reschenhofer, T., Bhat, M., Hernandez-Mendez, A. and Matthes, F., 2016, May. Lessons learned in aligning data and model evolution in collaborative information systems. In 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) (pp. 132-141). IEEE.https://wwwmatthes.in.tum.de/file/461jnwwsbwnx/Sebis-Public-Website/-/Re16a-Lessons-Learned-in-Aligning-Data-and-Model-Evolution-in-Collaborative-Information-Systems/Re16a.pdf

Schniederjans, D.G., Curado, C. and Khalajhedayati, M., 2020. Supply chain digitisation trends: An integration of knowledge management. International Journal of Production Economics, 220, p.107439.https://www.sciencedirect.com/science/article/pii/S092552731930249X

Wiesche, M., Jurisch, M.C., Yetton, P.W. and Krcmar, H., 2017. Grounded theory methodology in information systems research. MIS quarterly, 41(3), pp.685-701.http://dro.deakin.edu.au/eserv/DU:30105882/yetton-groundedtheory-2017.pdf