Improving KMS Acceptance

2011 ◽  
pp. 211-233
Author(s):  
Claudio Vitari ◽  
Jennifer Moro ◽  
Aurelio Ravarini ◽  
Isabelle Bourdon
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Factors ◽  
Research Process ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Research Model ◽  
Acceptance Model

The purpose of this chapter is to contribute to the improvement of the acceptance of information systems (IS) devoted to the codification and sharing of knowledge (a type of knowledge management systems [KMS]). A research model was developed through a multi-staged, multi-method research process and its test supports the hypotheses that the acceptance of KMS is determined, in addition to the classical constructs of the technology acceptance model (TAM), by a few organizational factors, and by the influence exerted on the user by individuals close to her/him.

Exploring the Factors Influencing End Users' Acceptance of Knowledge Management Systems

2008 ◽  
pp. 351-373
Author(s):  
Jun Xu ◽  
Mohammed Quaddus
Keyword(s):  
Knowledge Management ◽  
Technology Acceptance ◽  
Reasoned Action ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Proposed Model ◽  
Continued Use ◽  
Acceptance Model ◽  
Use Of Knowledge ◽  
Practical Implications

This article develops a model of adoption and continued use of knowledge management systems (KMSs), which is primarily built on Rogers’ (1995) innovation stages model along with two very important social psychology theories—Ajzen and Fishbein’s (1980) theory of reasoned action (TRA) and Davis’s (1986) technology acceptance model (TAM). It presents various factors and variables in detail. Hypotheses are developed which can be tested via empirical study. The proposed model has both theoretical and practical implications. It can be adapted for application in various organizations in national and international arena.

Exploring the Factors Influencing End Users' Acceptance of Knowledge Management Systems

2011 ◽  
pp. 226-248 ◽  
Author(s):  
Jun Xu ◽  
Mohammed Quaddus
Keyword(s):  
Knowledge Management ◽  
Technology Acceptance ◽  
Reasoned Action ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Proposed Model ◽  
Continued Use ◽  
Acceptance Model ◽  
Use Of Knowledge ◽  
Practical Implications

This chapter develops a model of adoption and continued use of knowledge management systems (KMSs), which is primarily built on Rogers’ (1995) innovation stages model along with two very important social psychology theories—Ajzen and Fishbein’s (1980) theory of reasoned action (TRA) and Davis’s (1986) technology acceptance model (TAM). It presents various factors and variables in detail. Hypotheses are developed which can be tested via empirical study. The proposed model has both theoretical and practical implications. It can be adapted for application in various organizations in national and international arena.

Technology Acceptance Model and Determinants of Technology Rejection

2012 ◽  
pp. 226-238
Author(s):  
Melih Kirlidog ◽  
Aygul Kaynak
Keyword(s):  
Information Systems ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Key Factors ◽  
Perceived Difficulty ◽  
Acceptance Model ◽  
Insight Into

Technology Acceptance Model (TAM) is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an insight into the causes of the system disuse.

Stages of Information Systems in E-Government for Knowledge Management

2011 ◽  
pp. 270-280
Author(s):  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Police Officers ◽  
Growth Models ◽  
Knowledge Work ◽  
Management Systems ◽  
Financial Crime ◽  
Knowledge Management Systems ◽  
Knowledge Intensive ◽  
Direction Information

A stage model for knowledge management systems in policing financial crime is developed in this chapter. Stages of growth models enable identification of organizational maturity and direction. Information technology to support knowledge work of police officers is improving. For example, new information systems supporting police investigations are evolving. Police investigation is an information-rich and knowledge-intensive practice. Its success depends on turning information into evidence. This chapter presents an organizing framework for knowledge management systems in policing financial crime. Future case studies will empirically have to illustrate and validate the stage hypothesis developed in this paper.

Semantic Integration of Structured and Unstructured Data in Data Warehousing and Knowledge Management Systems

2011 ◽  
pp. 81-105
Author(s):  
Liane Haak
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Data Warehousing ◽  
Semantic Integration ◽  
Unstructured Data ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Application Area ◽  
Ontology Integration ◽  
Basic Ideas

Nowadays, increasing information in enterprises demands new ways of searching and connecting the existing information systems. This chapter describes an approach for the integration of structured and unstructured data focusing on the application to Data Warehousing (DW) and Knowledge Management (KM). Semantic integration is used to improve the interoperability between two well-known and established information systems in the business context of nowadays enterprises. The objective is to introduce a semantic solution in the field of Business Intelligence based on ontology integration. The main focus of this chapter is not to provide a complete literature review of all existing approaches or just to point put the motivation for such an approach. In fact, it presents, under consideration of the most important research approaches, a solution for how a Semantic Integration could be technically achieved in this specific application area. After pointing out the motivation, a short introduction to Semantic Integration, the problems and challenges occurring from it, and the application area of Knowledge Management and Data Warehousing are given. Besides the basic ideas of ontologies and ontology integration are introduced. The approach itself starts with a short overview on the determined requirements, followed by a concept for generating an ontology from a Data Warehouse System (DWS) to be finally integrated with Knowledge Management Systems (KMS) ontology. Finally SENAGATOR, an exemplarily system for semantic navigation based on integrated ontologies, is shortly introduced.

Survey of Citizens’ Perceptions in the Adoption of National Governmental Portals

2011 ◽  
pp. 213-235
Author(s):  
Teta Stamati ◽  
Athanasios Karantjias ◽  
Drakoulis Martakos
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Adoption Process ◽  
Research Model ◽  
Innovation Theory ◽  
Trust Models ◽  
Acceptance Model ◽  
Acceptance Factors

?he transformational role of e-government can be achieved through engagement of the citizens in the e-government rollout and subsequent adoption. The present study integrates constructs from the Technology Acceptance Model, Diffusions of Innovation Theory and Trust Models in order to propose a research model to guide future e-government initiatives. The critical acceptance factors, namely: trust, security, and regulation are analyzed for the citizens’ adoption process. The citizen’s perceptions of electronic services adoption are analyzed based on the case study of the National Governmental Portal.

Knowledge Management Systems Acceptance

2011 ◽  
pp. 291-296
Author(s):  
Fredrik Ericsson ◽  
Anders Avdic
Keyword(s):  
Knowledge Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Management Support ◽  
Perceived Relevance ◽  
Acceptance Model

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

The Use of Technology Acceptance Model in Mobile Banking

2021 ◽  
pp. 478-487
Author(s):  
Kadriye Burcu Öngen Bilir
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Banking ◽  
Research Model ◽  
Normative Pressure ◽  
Use Of Technology ◽  
Customer Attitude ◽  
Acceptance Model

This chapter aims to determine the variables that explain using mobile banking. This study identifies and investigates the factors that influence the adoption of mobile banking, and specifically focuses on the evaluation of mobile banking application with users or non-users. The research model includes the basic concepts of the technology acceptance model. The technology acceptance model (TAM) tries to explain the adoption process and underlying influencing factors in technology acceptance. The survey was conducted to gather data which was coded in SPSS 17. Confirmatory factor analysis was used to analyze data, and structural equation modeling using Amos 17 software was used to validate the research model. The result shows that perceived ease of use, perceived usefulness, and perceived normative pressure significantly influences customer attitude, which affects the adoption of mobile banking.

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