ChapterPDF Available

Knowledge Management Systems Acceptance

Authors:

Abstract

This chapter introduces a framework of knowledge management systems acceptance labeled Requirements of Acceptance Model (RAM). It argues that acceptance of knowledge management systems is dependent on perceived relevance, systems accessibility, and management support. Together these components constitute the RAM. Further, it argues that implementation of systems is at large a process of acceptance where the requirements of acceptance are attained. Finally, it argues that to achieve the requirements of acceptance, implementation should be iterative and cooperative between users and developers by continually developing, implementing, and testing prototypes
1778
Knowledge Management Systems Acceptance
Fredrik Ericsson
Örebro University, Sweden
Anders Avdic
Örebro University, Sweden
Copyright © 2005, Idea Group Inc., distributing in print or electronic forms without written permission of IGI is prohibited.
INTRODUCTION
Knowledge management is a set of systematic actions
that organizations can take to obtain the greatest value
from the knowledge available to it (Davenport & Prusak,
1998). Systematic means that knowledge management is
made up of intentional actions in an organizational con-
text. Value means that knowledge management is mea-
sured according to how knowledge management projects
contribute to increased organizational ability (see for
example Prieto & Gutiérrez, 2001; see Goldkuhl & Braf,
2002, on the subject of organizational ability). The moti-
vation for knowledge management is that the key to
competitive advantage for organizations in today’s busi-
ness world is organizations’ ability to manage knowledge
(Nonaka & Takeuchi, 1995; Davenport & Prusak, 1998).
Knowledge management as an intentional and value-
adding action is not easy to accomplish in practice
(Scarbrough & Swan, 1999). Scarbrough and Swan
(1999) present several case studies in knowledge man-
agement, successful and unsuccessful in their respec-
tive knowledge management projects. A major point
and lessons learned from the case studies is that preva-
lent approaches in knowledge management overstate
technology and understate how technology is imple-
mented and applied.
To succeed with knowledge management, encom-
passing development of information technology-based
information system, some requirements have to be ful-
filled. An important aspect in the development process is
system acceptance. Implementation is at large a process
of acceptance. Implementation is the process where the
system becomes an integrated part of the users’ or work-
ers’ work practice. Therefore implementation is essential
to make a knowledge management project successful in
order attain an increased organizational ability and to
succeed with knowledge management.
ISSUES OF KNOWLEDGE
MANAGEMENT—SYSTEMS AND
ACCEPTANCE
In this section we provide broad definitions and discus-
sion of the topics to support our positions on the topics
of knowledge management and systems acceptance.
MANAGING KNOWLEDGE
Work in knowledge management has a tendency to omit
social or technological aspects by taking on one of two
perspectives on knowledge management, the anthropo-
centric or the technocratic view (Sveiby, 2001; Swan,
1999). The anthropocentric and the technocratic views
represent two contradictory views on knowledge man-
agement and can be summarized as technology can or
technology cannot. The gap between the anthropocentric
and technocratic view depends on a difference of opin-
ions concerning the notion of knowledge. The techno-
cratic view conceives knowledge to be some organized
collection of data and information, and the anthropocen-
tric view conceives knowledge to reside in humans, not in
the collection (Churchman, 1971; Meredith & Burstein,
2000). Our conception of knowledge is that of the anthro-
pocentric view. Taking on an anthropocentric view on
knowledge management does not mean that we discard
knowledge management technologies; we rather take on
a balanced view on the subject. Information technology
can support knowledge management in an organization
through a number of different technological components,
for example intranets, extranets, data warehouses, and
database management systems (Borghoff & Pareschi,
1998; Tiwana, 2000; Ericsson & Avdic, 2002). The point in
taking on an anthropocentric view of knowledge manage-
ment is not to lose sight of the knower who gives meaning
to the information and data found in IT-based knowledge
management systems.
Copyright © 2005. IGI Global. All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright
law.
EBSCO Publishing : eBook Collection (EBSCOhost) - printed on 1/30/2012 4:27 PM via OREBRO UNIV
9781591407942 ; Khosrowpour, Mehdi.; Encyclopedia of Information Science and Technology, Volumes 1-5
Account: s3912154
1779
Knowledge Management Systems Acceptance
K
KNOWLEDGE MANAGEMENT
SYSTEMS
Information systems can include either operative or direc-
tive and decision support information (Langefors, 1966;
Yourdon, 1989). Operative systems provide system users
with information necessary in workers’ daily work, while
directive and decision support systems provide system
users with information that improves the quality of deci-
sions workers make in daily work. Knowledge manage-
ments systems are systems developed to manage knowl-
edge directly or indirectly to give support for an improved
quality of a decision made in workers daily work, and as
an extension, an increased organizational ability. A knowl-
edge management system typically includes directive
information, for example in guiding a user’s choice in a
specific work situation. Such systems are often optional
in the sense that users can deliberately refrain from using
the system and/or refrain from taking the directed action.
Accordingly, user acceptance is crucial for the degree of
usage of knowledge management systems.
ACCEPTANCE OF TECHNOLOGICAL
SYSTEMS
Technology acceptance has been subject of research by,
for example, Davis, Bagozzi, and Warshav (1989), who
developed the well-known Technology Acceptance Model
(TAM) and later a revised version of the original model,
TAM2 (Venkatesh & Davis, 2000). TAM is an explanative
model explaining user behavior of computer technologies
by focusing on perceived ease of use, perceived useful-
ness, attitude towards use, and behavioral intentions as
determinants of user behavior. TAM2 is an extension of
the original model including external factors related to
perceived usefulness.
The framework for system acceptance, Requirements
of Acceptance Model (RAM) have some resemblances
with TAM and the later TAM2. RAM is in comparison
with TAM descriptive in nature. Workers’ work practice
is treated as an integrated element of RAM, compared with
not being treated as a determinant of system use in the
original TAM and as an external factor in TAM2. Further,
RAM covers acceptance of knowledge management sys-
tems, and TAM/TAM2 cover a broad range of computer
technologies. RAM systematically acknowledges factors
important in implementation of knowledge management
systems to gain acceptance of such systems.
REQUIREMENTS OF THE
ACCEPTANCE MODEL
We perceive acceptance to be a function of perceived
relevance, systems accessibility, and management sup-
port. Together these elements constitute our framework
RAM. In this section we present the requirements of
acceptance in RAM. The Requirements of Acceptance
Model is illustrated in Figure 1.
PERCEIVED RELEVANCE
The workers, who are to use the system, must perceive the
knowledge management system as relevant. Since it is
possible for workers to work without using the system, it
has to be obvious that usage of the system implies adding
value to the work result. An additional aspect of relevance
related to perceived relevance is how the system should
be integrated in running work, that is, to make the system
an integrated part of the workers’ work practice.
In summary, perceived relevance is about workers,
who are to use the system, perceiving the system as
(Ericsson & Avdic, 2003)
adding value to the work results; and
being integrated in running work.
ACCESSIBILITY
To obtain acceptance of knowledge management sys-
tems, accessibility has to be satisfactory. It must be
accessible to the workers who are to use the system.
Accessibility is a question of who is to be the user (type
of workers concerning organizational position), what
Figure 1. Requirements of Acceptance Model (Ericsson
& Avdic, 2003)
Management support
Perceived relevancePerceived relevance
System accessibilitySystem accessibility
ACCEPTANCEACCEPTANCE
Copyright © 2005. IGI Global. All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright
law.
EBSCO Publishing : eBook Collection (EBSCOhost) - printed on 1/30/2012 4:27 PM via OREBRO UNIV
9781591407942 ; Khosrowpour, Mehdi.; Encyclopedia of Information Science and Technology, Volumes 1-5
Account: s3912154
1780
Knowledge Management Systems Acceptance
action and work the system is to support (daily work,
product development, innovation, etc.), where users get
access to the system (the physical access), when the
system is ready to use, and how the system’s interface
fulfills the goal of the system.
In summary, systems accessibility is about (Ericsson
& Avdic, 2003):
knowing who the user is;
systematizing the actions workers perform in the
work practice the system is to support;
deciding the system’s physical access;
securing a certain degree of usage before the sys-
tem is put into operation; and
ensuring the system’s design meets the goals of the
system.
MANAGEMENT SUPPORT
Management support is vital according to many models
on information systems development, especially when
the system is a directive/decision support system
(Yourdon, 1989). Knowledge management systems are
typically directive systems, and workers have a choice in
deciding whether to use the system or not. Management
support is important to stress the value for workers to use
the system and to make conditions for workers to do so.
DEVELOPMENT IS A PROCESS OF
ACCEPTANCE
There must be a fit between workers’ work practice and
technology to get acceptance of knowledge management
systems. The technology used to create a knowledge
management system must fit the actions workers perform
in their work practice. On an overall level there must be a
fit between technology and actions performed by indi-
vidual workers, and between individual workers and the
organization as a whole, thus forming a coherent whole.
It is in the development of knowledge management sys-
tems that the requirements of acceptance are fulfilled. A
common conception concerning information systems
development is that it constitutes analysis, design, con-
struction, and implementation of information systems
(Hirschheim, Klein & Lyytinen, 1996).
The groundwork for acceptance is made during the
design, but foremost when implementing the system.
Workers who are to use the system should be engaged at
an early stage of the development process. The point of
including workers at an early stage is to acquaint users
with the system and the purpose of the system. Further,
this is an opportunity for workers to influence the system’s
design and content. The most prominent aspect addressed
when involving workers at an early stage is that of choos-
ing and determining the meaning of crucial concepts
managed by the system. Crucial concepts managed by the
system are the knowledge represented in the system, and
by determining concepts, knowledge represented in the
system takes on a systematized character. Further, by
involving the workers in the process of choosing and
determining the meaning of crucial concepts managed by
the system, the knowledge represented in the system
does not lose its origin or meaning. The point is to keep
the knowledge represented in the system within a frame of
understanding or meaning, as perceived by workers. A
knowledge management systems should be seen as a tool
developed to support workers in learning and acquiring
knowledge about actions taking place at work. This re-
quires closeness between how concepts are perceived by
Perceived relevance—Workers, who are to use the system, have to perceiv
e
the system as:
Adding value to work results
Being integrated in running work
Systems accessibilitySystem accessibility is about:
Knowing who the user is
Systematizing actions workers perform in the work practice the system i
s
to support
Deciding the physical location where users get physical access to the
system
Securing usage of the system before it is put into operation
The systems’ design must meet up to the goals of the system
Management support—Fundamental because management authorizes
development of systems
Table 1. Summary of RAM (Ericsson & Avdic, 2003)
Copyright © 2005. IGI Global. All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright
law.
EBSCO Publishing : eBook Collection (EBSCOhost) - printed on 1/30/2012 4:27 PM via OREBRO UNIV
9781591407942 ; Khosrowpour, Mehdi.; Encyclopedia of Information Science and Technology, Volumes 1-5
Account: s3912154
1781
Knowledge Management Systems Acceptance
K
workers and how such concepts are represented in a
system.
FUTURE TRENDS
Research on technology acceptance (i.e., Davis et al.,
1989; Venkatesh & Davis, 2000) has focused on user
behavior of computer technologies. RAM is developed
for and is used to assess acceptance of knowledge man-
agement systems. Acceptance has not been a crucial
issue within the knowledge management area. A problem
with knowledge management systems is that they work in
theory, but seldom in practice (Wickramasinghe, 2003). A
contributing factor to that picture may very well be that of
having overlooked usage-related problems connected to
knowledge management systems. In that sense, knowl-
edge management systems acceptance can be expected to
be an area for further research in the future.
CONCLUSION
Acceptance of knowledge management systems is a func-
tion of perceived relevance, systems accessibility, and
management support. Together these elements consti-
tute our framework RAM. RAM is summarized in Table 1.
The Requirements of Acceptance Model point to-
wards several important aspects concerning relevance,
accessibility, and support. The groundwork for system
acceptance is the development process. Development is
very much a process of acceptance as a process of
developing the system itself. Through requirements of
acceptance, knowledge management systems can remain
and continue to be a contributing factor for the
organization’s ability to do business.
REFERENCES
Borghoff, U.M. & Pareschi, R. (Eds.). (1998). Information
technology for knowledge management. Berlin, Heidel-
berg: Springer-Verlag.
Churchman, C.W. (1971). The design of enquiring sys-
tems: Basic concepts of systems and organization. New
York: Basic Books.
Davenport, T. & Prusak, L. (1998). Working knowledge:
How organizations manage what they know. Boston:
Harvard Business School.
Davis, F.F., Bagozzi, R.P. & Warshaw, P.R. (1989). User
acceptance of computer technology: A comparison of two
theoretical models. Management Science, 35(8), 982-
1003.
Ericsson, F. & Avdic, A. (2002). Information technology
and knowledge acquisition in manufacturing companies:
A Scandinavian perspective. In E. Coakes, D. Willis & S.
Clarke (Eds.), knowledge management in the socio-tech-
nical world. The grafitti continues. London: Springer-
Verlag.
Ericsson, F. & Avdic, A. (2003). Knowledge management
systems acceptance. In E. Coakes (Ed.), Knowledge man-
agement: Current issues & challenges (pp. 39-51).
Hershey, PA: Idea Group Publishing.
Goldkuhl, G. & Braf, E. (2002). Organisational ability:
Constituents and congruencies. In E. Coakes, D. Willis &
S. Clarke (Eds.), Knowledge management in the socio-
technical world. The grafitti continues (pp. 30-42). Lon-
don: Springer-Verlag.
Hirschheim, R., Klein, H.K. & Lyytinen, K. (1996). Explor-
ing the intellectual structures of information systems
development: A social action theoretic analysis. Account-
ing, Management & Information Technology, 6(1/2), 1-
64.
Langefors, B. (1966). Theoretical analysis of information
systems. Lund: Studentlitteratur.
Meredith, R. & Burstein, F. (2000). Getting the message
across with communicative knowledge management. Pro-
ceedings of the Australian Conference on Knowledge
Management and Intelligent Decision Support
(ACKMID’2000) (pp. 43-55). Melbourne: Australian Schol-
arly Publishers.
Nonaka, I. & Takeuchi, H. (1995). The knowledge creating
company: How Japanese companies create the dynamics
of innovation. New York: Oxford University Press.
Prieto, I.M. & Gutiérrez, E.R. (2001). A contingency per-
spective of learning and knowledge management in orga-
nizations. In D. Remenyi (Ed.), Proceedings of the 2nd
European Conference on Knowledge Management (pp.
487-502). Slovenia: Bled School of Management.
Scarbrough, J. & Swan, J. (Eds.). (1999). Case studies in
knowledge management. London: Institute of Personnel
and Development.
Sveiby, K.-E. (2001, April). What is knowledge manage-
ment? Retrieved June 28, 2002, from www.sveiby.com.au.
Swan, J. (1999). Introduction. In J. Scarbrough & J. Swan
(Eds.), Case studies in knowledge management. London:
Institute of Personnel and Development.
Copyright © 2005. IGI Global. All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright
law.
EBSCO Publishing : eBook Collection (EBSCOhost) - printed on 1/30/2012 4:27 PM via OREBRO UNIV
9781591407942 ; Khosrowpour, Mehdi.; Encyclopedia of Information Science and Technology, Volumes 1-5
Account: s3912154
1782
Knowledge Management Systems Acceptance
Tiwana, A. (2000). The knowledge management toolkit.
Practical techniques for building a knowledge manage-
ment system. Upper Saddle River, NJ: Prentice-Hall.
Venkatesh, V. & Davis, F.D. (2000). A theoretical exten-
sion of the Technology Acceptance Model: Four longitu-
dinal field studies. Management Science, 46, 86-204.
Yordon, E. (1989). Modern structured analysis. Englewood
Cliffs, NJ: Prentice-Hall.
Wickramasinghe, N. (2003). Do we practice what we
preach? Are knowledge management systems in practice
truly reflective of knowledge management systems in
theory? Business Process Management Journal, 9(3),
295-316.
KEY TERMS
Anthropocentric View of Knowledge: Knowledge re-
sides in humans.
Information Systems Development: Constitutes analy-
sis, design, construction, and implementation of informa-
tion systems.
Knowledge: Knowledge is personal and talked about
and may thus be public and shared among a group of
people who have a common frame of reference, providing
means for people to make sense of and apply knowledge
in practice.
Knowledge Management: The name given to the set of
systematic actions that an organization can take to obtain
the greatest value from the knowledge available to it.
Knowledge Management Systems: Typically, direc-
tive systems developed to manage knowledge directly or
indirectly to give support for an improved quality of a
decision made in workers’ daily work, and as an extension,
an increased organizational ability.
Perceived Relevance: Workers who are to use the
system perceive the system as adding value to the work
results and being integrated in running work.
Systems Acceptance: A function of perceived rel-
evance, systems accessibility, and management support.
Systems Accessibility/Development: Knowing who
the user is, systematizing the actions workers perform in
their work practice the system is to support, deciding the
system’s physical location, securing a certain degree of
usage before the system is put into operation, and ensur-
ing the system’s design meets the goals of the system.
Technocratic View of Knowledge: Knowledge is an
organized collection of data and information.
Copyright © 2005. IGI Global. All rights reserved. May not be reproduced in any form without permission from the publisher, except fair uses permitted under U.S. or applicable copyright
law.
EBSCO Publishing : eBook Collection (EBSCOhost) - printed on 1/30/2012 4:27 PM via OREBRO UNIV
9781591407942 ; Khosrowpour, Mehdi.; Encyclopedia of Information Science and Technology, Volumes 1-5
Account: s3912154
... Alavi and Leidner defined KMS as a class of information systems applied for managing organizational knowledge, another definition of KMS comes from Ericsson and Avdic [13] defined KMS as a system that increases organizational performance by the better decision made by employee when they use knowledge in their daily work activities. In general KMS would not have differences from other information systems, except that of content and activities by users. ...
... The resources-based view (RBV) of the firm believes KMS should adapt socio-technical perspective when managing and implementing KMS to gain advantages of KMS. It is relevant to other researchers finding that KMS should consider the social aspect to achieve KM mission [8], [9], [13]. Socio-technical perspectives consider at least four components; technology, organizational infrastructure , the organizational culture, people, and knowledge [24]. 1) Technology Infrastructure -In order to support KM initiative, an organization needs to consider IT implementation . ...
Article
Full-text available
This study contributes to enrich our understanding of knowledge workers' behavior in continuing knowledge sharing through Knowledge Management System (KMS). We extended Xu and Quaddus post-adoption model by proposing a new perspective on how to understand knowledge workers' behavior by considering different belief and expectation of them. Existing KMS adoption have not thoroughly explored the different belief and expectation of knowledge workers in knowledge sharing (KS). Most of previous model provides limited information in understanding of how the knowledge worker sharing their knowledge through KMS. This study will provide a model to understand knowledge workers' behavior in sharing their knowledge through KMS.
... In the discussion Igbaria et al. found that Management support can take a variety of forms such as encouragement to use the system, providing a wider selection of user-friendly software of special use to different jobs, offering educational programs, applying information technology to support a wider variety of business tasks, and encouraging experimentation. Management support is vital according to many models on information systems development, especially when the system is a directive/decision support system (Ericsson & Avdic, 2003). ...
Chapter
Full-text available
Information technology (IT) can be used as an enabler for the acquisition and reuse of knowledge. The development of IT-based information systems for knowledge management is not an easy task to accomplish. Issues concerning the reuse and acquisition of knowledge, user participation in the development process, and considerations concerning control and the working environment, are of importance when developing IT-based information systems for knowledge management.
Article
Full-text available
The present research develops and tests a theoretical extension of the Technology Acceptance Model (TAM) that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes. The extended model, referred to as TAM2, was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage. Model constructs were measured at three points in time at each organization: preimplementation, one month postimplementation, and three months postimplementation. The extended model was strongly supported for all four organizations at all three points of measurement, accounting for 40%--60% of the variance in usefulness perceptions and 34%--52% of the variance in usage intentions. Both social influence processes (subjective norm, voluntariness, and image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use) significantly influenced user acceptance. These findings advance theory and contribute to the foundation for future research aimed at improving our understanding of user adoption behavior.
Article
Full-text available
Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
Book
As global enterprise grows increasingly reliant on electronic data, processes, and procedures, studies of the management of organizational knowledge are emerging at the forefront of critical research. Current Issues in Knowledge Management combines cutting-edge research on the cultural, technical, organizational, and human issues surrounding the creation, capture, transfer, and use of knowledge in today's organizations. Providing foremost information on topics such as organizational memory, knowledge management in enterprises, enablers and inhibitors of knowledge sharing and transfer, and emerging technologies of knowledge management, this estimable reference offers vital research information to practitioners and scholars in a variety of settings.
Article
Knowledge management systems are predominant in both theory and practice. However, are the same systems discussed in theory actualized in practice? By comparing and contrasting knowledge management systems in theory and practice, this paper demonstrates that they are indeed dissimilar. In theory, they have both subjective and objective components. In practice, only the objective component appears to be actualized; hence, these systems in practice are essentially organizational memory systems at best and not knowledge management systems at all. By unravelling the mystique of knowledge management systems, this paper exposes a fundamental anomaly. Further, an apparent void currently in practice is highlighted; namely, the lack of the subjective component of knowledge management systems in practice. They are being heralded as key systems that are vital for organizations to survive and thrive in the intense competitive environment of the information age. Surely then, a system that in practice supports not only the objective component, but also the subjective component of knowledge management, would indeed be a truly powerful system.
Article
In this paper we explore the intellectual structures upon which the field of information systems development (ISD) is cultivated. The conceptual base of our work comes from the social action theories of Habermas and Etzioni. We propose a framework which reconceptualizes the field in terms of domains, orientations, object systems, and development strategies. Our analysis not only justifies the reflection of the field as a so-called “fragmented adhocracy”, but also shows why this is so: because IS researchers' mind sets fundamentally differ in terms of how problems are formulated and consequently solved. The intellectual structures of our framework suggest nine conceptual frames which mold these mind sets. Each frame acts as a lens and embraces a different development strategy which distinguishes itself in its dominant orientation of control, sense-making and argumentation, respectively. The framework organizes the field into interrelated sets of intellectual communities, and in so doing, acts as a vehicle for conceptualizing core research issues and identifying future research directions. The paper suggests an intellectual base for penetrating the ambiguities which envelope underresearched islands of ISD.