The other type refers to the design, development
and implementation of integrated content-based
information management systems for the purpose of
facilitating organizational information resources
integration and reuse, among which the enterprise
content management (ECM) earns much attention. It
is argued that ERMS should be integrated with ECM
(Sprehe, 2005) so as to better perform the primitive
value of records. Within the development of ECM,
records came to be a significant part of the
information resources stored in ECM. (Alalwan and
Weistroffer, 2012; Katuu, 2012)
Current solutions focus on a significant procedure
of records transferring into knowledge, but it fails to
solve the management problem in procedural
integration. That is, how do the demand of knowledge
impact and direct the transfer of records into
knowledge; and how can the actual information
systems as ERMS, OMIS, KMS and ECM be
allocated to proper function and to integrate and
interact with each other smoothly within an
organization. In the author’s opinion, such issues are
worth of being further studies and solved so as to
enhance the utilization efficiency of information
technologies and systems.
5 CONCLUSIONS
The integration of records and organizational
memory is not only a technological issue, but also
depends much on the management mode of
organizational information resources.
(1) According to theoretical analysis, records
should function as a significant source of
organizational memory, which embodies as
knowledge in actual practice. To align with the
principle articulated in theory, records should be
extracted and transfer into knowledge of
organizational memory. Current solutions have been
actualizing such transfer through cognitive
technologies.
(2) However, it should also consider the issues in
procedural mechanism of records transferring into
pragmatic intellectual organizational memory. One of
a noteworthy issue lies in the managerial and
functional positioning of OMIS, and the integration
of OMIS (KMS) with ERMS. A possible solution
derived from the analysis in this paper is to reallocate
between OMIS and ERMS, in which ERMS functions
as repository and archival management platform for
reliable and primitive electronic records, while OMIS
automatically extracts information resources accord
with knowledge demand from ERMS and process the
information to produce knowledge.
(3) Another important issue is the loop between
knowledge demand, records transfer and
organizational communication, which also raises
requirements for the integration of the information
systems so as to ensure and facilitate the dynamic
process. Basically, current OMIS can support the
actualization of the loop, but the interaction with
ERMS to acquire “primitive knowledge material”
should be reinforced.
Much efforts need to be done in further studies,
including further clarifying the positioning of the
information systems; the transferring relationships
between records and organizational memory and its
realization in the environment of information systems;
and the connection between knowledge demand
identification and the corresponding records
extraction. Such research would be beneficial to the
development of organizational knowledge
management and records management, as well as
promoting interdisciplinary studies.
REFERENCES
Abecker, A., and Decker, S. (1999). Organizational
memory: Knowledge acquisition, integration, and
retrieval issues. In XPS-99: Knowledge-Based Systems.
Survey and Future Directions (pp. 113-124). Springer
Berlin Heidelberg.
Ackerman, M. S., and Halverson, C. A. (2004).
Organizational memory as objects, processes, and
trajectories: An examination of organizational memory
in use. Computer Supported Cooperative Work (CSCW),
13(2), 155-189.
Alalwan, J. A., and Weistroffer, H. R. (2012). Enterprise
content management research: A comprehensive review.
Journal of Enterprise Information Management, 25(5),
441-461.
Alavi, M., and Leidner, D. E. (2001). Knowledge
management and knowledge management systems:
conceptual foundations and research issues. MIS
Quarterly, 25(1), 107-136.
Askhoj, J., Sugimoto, S., and Nagamori, M. (2015).
Developing an ontology for cloud–based archive
systems. International Journal of Metadata, Semantics
and Ontologies, 10(1), 1-11.
Bak, G. (2012). Continuous classification: capturing
dynamic relationships among information resources.
Archival Science, 12(3), 287-318.
Bayram, Ö. G., and Demirtel, H. (2014). Effect of ICT on
Information Sharing in Enterprises: The Case of