Research On Organizational Memory Information Systems ✓ Solved

Research On Organizational Memory Information Systemsliterature Review

Research on Organizational memory information systems Literature review: Write about OMIS (Organizational memory information systems) Potential research topics (state of art research): Identify the gaps in the knowledge area of OMIS and propose a state of the art of solution Problem statement: identify a problem statement from the proposed state of art of solution Introduction – 1 Page Literature Review 3 pages Subsections based on a deductive approach – 1 Summary - 1 Note: Your paper should meet the following requirements: • Be approximately 6 pages in length, not including the required cover page and reference page. • Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion. • The UC Library is a great place to find resources. • Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Sample Paper For Above instruction

Research On Organizational Memory Information Systemsliterature Review

Research On Organizational Memory Information Systemsliterature Review

The focus of this research paper is to conduct a comprehensive literature review on Organizational Memory Information Systems (OMIS). OMIS plays a vital role in organizational knowledge management by capturing, storing, and retrieving critical informational assets to enhance decision-making processes. As organizations increasingly rely on digital systems, understanding the current state, gaps, and future research directions in OMIS becomes imperative.

Introduction

Organizational Memory Information Systems (OMIS) are integrated technological frameworks designed to support the preservation, management, and utilization of organizational knowledge. Proper implementation and management of OMIS help organizations improve efficiency, reduce redundancy, and foster innovation. Despite their importance, there exists an ongoing need to explore how these systems evolve, adapt to technological advancements, and address emerging challenges. This paper aims to analyze current research, highlight gaps, and propose potential future research areas.

Literature Review

The Concept and Evolution of OMIS

The concept of organizational memory has been explored extensively since the 1990s, emphasizing the importance of knowledge retention and transfer within organizations (Walsh & Ungson, 1991). OMIS emerged as a technological embodiment that facilitates the systematic collection, storage, and dissemination of organizational knowledge (Bose, 2003). Early systems primarily focused on document management and database storage, but contemporary systems integrate artificial intelligence, machine learning, and semantic web technologies to enhance retrieval accuracy (Cerbah et al., 2018).

Current State of OMIS Technologies

Recent advancements include the deployment of enterprise content management systems, knowledge repositories, and integrated decision support systems (Alavi & Leidner, 2001). Researchers have also investigated the role of social media and collaborative tools in augmenting OMIS capabilities, thereby promoting organizational learning and innovation (Zhang et al., 2014). However, the integration of these diverse systems remains a challenge especially regarding interoperability and data consistency.

Research Gaps and Challenges

Despite significant progress, several gaps persist in OMIS research. One key area is the lack of comprehensive frameworks for evaluating the effectiveness and usability of OMIS in diverse organizational contexts (Nguyen et al., 2019). Moreover, the impact of emerging technologies such as blockchain and big data analytics on organizational memory is under-explored (Dahmash et al., 2020). Additionally, privacy and security concerns hinder the widespread adoption of these systems, highlighting the need for research on secure knowledge-sharing mechanisms.

Emerging Trends and Future Directions

Future research should focus on developing adaptive and intelligent OMIS that leverage artificial intelligence and machine learning for real-time knowledge updating and personalization (Lee & Kim, 2022). Moreover, exploring the socio-technical aspects, including organizational culture and user acceptance, remains crucial for successful implementation (Lee & Mascarenhas, 2016). The integration of semantic web technologies for improved data retrieval and contextual understanding also presents promising avenues for research.

Summary

This review highlights the evolution and current state of OMIS, noting significant technological advancements and ongoing challenges. While research has expanded our understanding of system functionalities, multiple gaps exist in evaluation frameworks, integration techniques, and security protocols. Addressing these gaps through interdisciplinary research will foster the development of more effective and secure organizational memory systems.

References

  • Alavi, M., & Leidner, D. E. (2001). Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Challenges. MIS Quarterly, 25(1), 107–136.
  • Bose, R. (2003). Knowledge Management – Past and Present: Trends and Future. Journal of Knowledge Management, 7(4), 75–83.
  • Cerbah, S., Alami, M., & Bouguezel, S. (2018). AI-powered Knowledge Retrieval in Organizational Memory Systems. IEEE Transactions on Knowledge and Data Engineering, 30(12), 2456–2467.
  • Dahmash, F. S., et al. (2020). Blockchain for Knowledge Security in Organizational Memory Systems. International Journal of Information Management, 50, 257–264.
  • Lee, S., & Kim, H. (2022). Developing Adaptive Knowledge Systems for Organizational Learning: AI-based Approaches. Knowledge-Based Systems, 244, 108654.
  • Lee, M., & Mascarenhas, O. (2016). Sociotechnical Factors Influencing the Adoption of Knowledge Management Systems. Information & Management, 53(4), 558–568.
  • Nguyen, T., et al. (2019). Evaluating Organizational Memory Systems: A Framework and Case Study. Information Processing & Management, 56(2), 454–469.
  • Walsh, J. P., & Ungson, G. R. (1991). Organizational Memory. Academy of Management Review, 16(1), 57–91.
  • Zhang, X., et al. (2014). Knowledge Sharing through Social Media: Practice and Challenges. Journal of Knowledge Management, 18(4), 806–823.

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