OMCCAAF: articulating organizational memory and business intelligence.
Anica-Popa, Liana-Elena
Abstract: In this paper we concentrated ideas from a study
concerning the organizational cognitive acquis' capitalization in
the Accounting and Financial (AF) area. We attempted to find out new
elements for our OMCCAAF methodological framework aiming to guiding
specialists in building an Organizational Memory (OM). In this respect,
we tried to answer, mainly, in a teleological approach, to the
questions: "Why embedding Business Intelligence (BI) and OM?"
and "How articulating OM and BI?" in an OM design process.
Key words: OMCCAAF, organizational memory, intelligent
organization, business intelligence, organizational benefits
1. INTRODUCTION
Over the last decades of the present "Information Age",
companies have expended considerable resources to implement Business
Intelligence (BI) technologies, in order to provide decision-making
processes with reliable knowledge and to improve activities'
effectiveness. The way that knowledge workers access, exchange and
promote information evolved significantly towards innovative approaches
aiming to acquire competitive advantages for their organizations.
In the literature, there are many studies embedding OM and BI.
Sabherwal & Becerra-Fernandez (2010) associates OM storage
capabilities with BI, in conjunction with other three types of
abilities: information integration, business analytics, and
presentation. Complying the classic definitions' triad
data--information--knowledge, the OM was viewed serving to memorize
structured and unstructured information--raw materials for BI
instruments; correlate data from different sources was define like
information integration activities; business analytics create and
provide decision-makers with new perspectives based on extant
information; utilizing appropriate tools to make BI results more
valuable and easier to understand and apply was the perception of the
presentation category of capabilities.
The "organizational intelligence" concept was placed in
the area of knowing better and anticipate the customers behaviors also
the competitors' position and strategies, in order to underpin
organizational decisions process and provide a competitive advantage
(Bucur & Pribac, 2010). In this general picture, where organizations
manifest interest into experiment different theoretical and practical
knowledge capitalization processes, the OM appears as an on time and
suitable "presence", providing ways to leverage the cognitive
acquis in quotidian activity of an economic entity.
In this context, the work hypothesis was that designing and
implementing OM should take into consideration the existence of a BI
organizational system or the possibility to implement one in the future.
This assumption was inspired by the observation of some common
capabilities of BI and OM and by the glimpse of some possibilities to
correlate and connect OM and BI mechanism, at conceptual and
implementation levels.
Our scientific investigation, conducting within a running research
project, was oriented towards identifying conceptual elements (possible
situations, activities and goals to pursue by the OM developers)
articulating BI to OM and completing thereby a new methodological
framework aiming the capitalization of the cognitive acquis in the
accounting and financial (AF) area through Organizational
Memory--OMCCAAF. The methodological approach included direct observation
of AF activities, introspection and analysis of the BI and OM literature
and practice.
Some brief considerations about costs and benefits related to
knowledge production and capitalization at organizational level and some
concluding insights are elaborated at the end.
2. EMBEDDING OM AND BI
Many studies concerning the knowledge and intellectual capital were
developed during last decades. Other numerous research approaches
treated with capitalization problems of explicit and tacit knowledge
through OM. Bencsik et al. (2009) emphasized the distinction between
organizational knowledge and OM. If in the organizational knowledge was
included all "abilities, cognition, knowledge or information on the
level of individual, group and organization to which an organization has
indirect or direct access", for the OM they stipulated its
independency from any members and a content defined by "routines,
values and data which remain comparatively permanent when members are
exchanged". Similar to the biological meaning of memory, OM systems
should propose mechanism for memorization and remembrance, acquiring,
coding, storing, recalling, fixing, and spreading knowledge within
working / learning processes.
The BI was generally defined like processes of collecting and
analyzing internal and external business information (Okkonen et al.,
2002) but also like an architecture of applications, platforms, tools,
and technologies that support the process of exploring business data,
data relationships, and trends and provide the business community easy
access to business data (Raisinghani, 2004; Moss & Atre, 2003).
Storing and leveraging organizational knowledge could be considered
common capabilities for OM and BI. The OM structures could provide data,
information, and knowledge like raw material for BI analysis and
different instruments for memorizing primary data, information or
knowledge. Results of BI processes--organizational knowledge--could
constitute objects of capitalization activities, supported by OM
features. Hence, during the preparatory stage of building an OM,
focusing on a possible OM-BI articulation, we suggest a responsible
preliminary analysis, in order to:
* avoid duplication of some extant data storage and treatment
structures, in case of a BI system already implemented;
* facilitate further connections and correlations between OM
elements and BI tools, by designing, for example, saving instruments for
capturing BI results; this situation could correspond to a future
development of an organizational BI application.
In the context of tremendous development of the Web, the content,
the usage and the web structure could add value to organizational
knowledge by using competitive intelligence (CI) techniques (Cucui et
al., 2010) in order to exploit outward existing data about competitors
and economic environment. Searching for extant CI instruments,
integrated or not in BI systems, and for assimilation possibilities into
OM knowledge structures of what it could provide may help to design
better OM and its future connections with CI mechanisms.
Including all these synthesized elements in OMCCAAF and many others
creates the premises for obtaining effective instances of OM.
3. ASSESSING RELATED COSTS AND BENEFITS
Examining the financial implication for organizations into
developing systems for knowledge capitalization, it seems that producing
knowledge is expensive but reproducing it is cheap. If fixed costs are
high, the marginal costs of the informational good items are low.
Interesting for this kind of products is assessing it according to
consumer value and not to the production cost. On information market, we
could pay differently for versions of the same good depending on the
delay between versions occurrence and our imperativeness in using it
(Shapiro & Varian, 2003). Once the knowledge was stored through OM
mechanism, it can be reused within BI analysis processes with a minimal
organizational effort.
Concerning the benefits of BI deployment in AF area, there are four
main categories (Ritacco et al., 2007): quantifiable benefit (e.g.,
working time saved in producing reports); indirectly quantifiable
benefit (e.g., improved customer service means new business from the
same customer); unpredictable benefit (discoveries made by creative
users); intangible benefit (e.g., improved job satisfaction of empowered
users, improved knowledge sharing). They proposed a solution for
evaluate these types of BI benefits including: (1) measurement of the
expected quantifiable benefits; (2) qualitative description of
anticipated intangible benefits; (3) estimation of the total cost of
ownership (TCO), including hardware, software, personnel, consulting
services, and future ongoing costs. If TCO < quantifiable and
indirectly quantifiable benefits, then the system is worth the outflow.
In other cases, then the unpredictable and intangible benefits should be
evaluated to outline decisions making processes.
Organizational memory is fragmented in different systems, database
technologies, distributed in various locations. There are cases of an
underused intelligence system, and/or a trade-off too frequent, which
are costly; infrequently use generates old data and a reduced response
speed--premises for loss or supplementary costs for the organization.
Analysis of costs and benefits of an OM design and features improvement
by BI articulations could offer an image about the organizations'
effort and advantages in capitalization processes. The literature and
practice suggest that the knowledge capitalization balance
costs--benefits would be favorable to benefits.
4. CONCLUSIONS
The success of every organization will depend on its ability to
generate, adopt and diffuse knowledge. The skills and tools required to
manage a knowledge organization are found in the emerging domains of
knowledge capitalization. By examining (a) the link between OM and BI;
(b) how the BI features could be utilized in knowledge capitalization
processes and (c) proposing a conceptual articulation between OM and BI
structures and results, we attempted to cover a gap into our OMCCAAF
design process. We hope that any instance of OMCCAAF--an OM built based
on this framework--could be an efficient tool for in-depth leveraging of
knowledge produced by BI structures using the OM facilities, or by OM
features exploiting possible BI results.
BI seems to provide means to leveraging better the cognitive acquis
in general and the AF one specially, contributing to the accomplishment
of people professional tasks and to enhance learning processes within
organization. They can help reduce costs, increase revenues, and improve
organizational performance. BI modules for integrating data located in
different OM sources and obtaining reports required by the organization
management could be an example of articulation OM--BI. Data warehouses
and data mining technologies are unaware of and for finding different
correlations; there are necessary some modules to support decision
making processes, modern tools for querying and reporting; maybe the
knowledge steward also should have the ability to manage OM and BI
features together (e.g., to integrate data from different sources,
prepare reports, aggregate data).
Introducing into OM designed structure conceptual elements that can
provide direct and rapid access to knowledge for the organization
employees could offer the ground for a future research direction:
developing effective organizational Memory Information Systems (OMIS).
5. ACKNOWLEDGEMENTS
The study was conducted within the scientifically research project
number Id_1866/2008, Contract no. 766/2009, currently running, financed
by The National University Research Council (CNCS), Romania, into the
framework of National Plan of Research, Development and Innovation--PN
II, Ideas Program, 2008 Competition. The title is "Research
regarding the modeling of the organizational memory: OMCCAAF, a new
methodological framework for the capitalization of the cognitive acquis
in the accounting and financial area".
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