Involvement of Service Knowledge Management System in Integration of ITIL V3 and Enterprise Architecture

Nabiollahi,

doi:10.3844/ajebasp.2011.165.170

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…Moreover, the study suggest that knowledge transfer and support service does not influence perceived ease of use of EA. This result does not support findings from prior studies (McNabb and Barnowe, 2009;Nabiollahi et al, 2011) where the authors suggested that knowledge management positively determines EA use for IT management and public sector development. Likewise, Moscoso-Zea et al ( 2016) stated that availability of knowledge as support plays a substantial role towards user adoption of EA.…”

Section: Discussioncontrasting

confidence: 99%

“…Findings from the literature (McNabb and Barnowe, 2009) suggested that knowledge transfer is an important factor that influences practitioners' perceived usefulness and perceived ease of use of EAF. This is because the available of knowledge as information may help in enhancing practitioners' perceived ease of use and acceptance of EAF (Nabiollahi et al, 2011). Moreover, this factor encompasses how knowledge on the use of EA can be transferred to all practitioners involved within smart city development.…”

Section: Knowledge Transfermentioning

confidence: 99%

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Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Anthony

Petersen

2022

Environ Syst Decis

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Presently cities are undergoing changes and transformations due to the adoption of information and communications technology. Enterprise Architecture (EA) is one of the approaches adopted by practitioners and researchers to facilitate smart city development as it can enhance the effectiveness of cities’ digital resources and sustainability capabilities. But, despite several literature on EA, studies on the adoption of EA to improve the sustainability of cities are still at the early stage. Besides, there are fewer studies that provided evidence on the adoption of EA to make cities sustainable grounded on established theoretical models and quantitative data. Therefore, this study aims to provide an understanding on the adoption of EA by different practitioners involved in a smart city project. Knowledge transfer and support services are integrated as new external variables needed to improve practitioners’ behavior intention and actual adoption of EA in making cities smarter. A model is developed grounded on an extension of Technology Acceptance Model (TAM), and data were collected via a cross-country survey. Partial least squares-structural equation modeling was employed to analyze the data. Findings from this study offer implications for research and practice and provide opportunities for future research.

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Section: Discussioncontrasting

confidence: 99%

Section: Knowledge Transfermentioning

confidence: 99%

Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Anthony

Petersen

2022

Environ Syst Decis

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“…Hoshin Kanri business methodology emphasizes that the total involvement of all levels of employees should incorporate into their daily routines in order to achieve the organization's objectives (Parmenter, 2010). The goal of knowledge management process to enable organizations to improve the quality of management decision making by ensuring that reliable and secure information and data is available throughout the service lifecycle where the organization needs to focus Science Publications AJEAS on retrieving, sharing and utilizing their knowledge through problem solving, dynamic learning, strategic planning and decision making (Nabiollahi et al, 2011). People Development System (PDS) is a system that aims to:…”

Section: People Development System (Pds)mentioning

confidence: 99%

Managing Waste Elimination Database in Lean Manufacturing: Improve Problem Solving Capability

Puvanasvaran¹

2014

American Journal of Engineering and Applied Sciences

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This study highlighted on managing the waste elimination database in lean manufacturing of the case study company. An application for managing the waste elimination database in lean manufacturing to improve the visual indicators and enhance the problem solving capabilities of the employees in the organization is introduced as the basic success factors to drive the process of continuous improvement culture forward. Ineffective database systems within the organization have caused the inaccurate, redundancy and inconsistency of data. Lean implementations are not successful because there is a lack of communication and involvement of all levels of employees. The study attempts to design an application in a personal database system to the employees at Lean department to keep track of the waste elimination database for analysis and evaluation purpose. Likewise, it's also examined the employees' problem solving capacity in waste eliminating project. Application in Microsoft Access is considered new in the case study company. The problems that faced are such as the human factors such as the fearful in changing and accepting IT systems and procedures. Application in Microsoft Access is considered new in the case study company. The employees in Lean department can easily keep track on the improvement projects and the management can monitor on the improvement task and problem solving capabilities of the employees. The visual indicators are improved because meaningful chart and reports are generated for visual and filling purpose. Besides, implementing the problem solving cycle in the designed application to improve the problem solving activities which is also an important element in creating continuous improvement culture. As the many factors such as human factors and skills in using the database application are affected the effectiveness of the designed application. The cost saving value after implementation the database application is difficult to obtain as some study subject are difficult to measure in term of cost.

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“…Thus, Knowledge is increasingly becoming the main asset (Kumar and Chhokar, 2011) that contributes to the competitive advantage of many organizations (Christine, 2011). As a consequence, Knowledge Management (KM) processes implementation is wide spread across different sectors in the contemporary knowledge era, starting from IT sector (Nabiollahi et al, 2011) to agricultural sector (Malekmohammadi, 2009). The KM also has been discussed from religious perspective (Yaakub, 2011) and at primary school level (Chongdarakul et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Investigating Individuals' Intention to be Involved in Knowledge Management Process

Abad¹

2011

American Journal of Economics and Business Administration

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Problem statement: Implementation of Knowledge Management (KM) process in organizations is considered as essential to be competitive in the present competitive world. Though the modern KM practices highly depend on technology, individuals ('organizational members') intention to be involved in KM process plays a major role in the success. Hence, the evaluation of individuals' intention is deemed as significant before the actual implementation of KM process in organizations. Nevertheless, inadequate information is presented in this regard; as a result, a wide research gap prevails in the literature. In this context, the present study focuses on developing a research frame work that can be used to measure the individual intention to be involved in KM process. Approach: Subsequent to a critical analysis of the research gaps, a basic research model has been developed based on knowledge creation theory, KM enablers, and individual acceptance model. Measurers and questionnaire items were identified for each variable from relevant literature. Consequently, the reliability of the instrument was tested among academic staff of a Malaysian university. Results: The Cronbach's alpha for each variable is more than 0.800 that exhibits the reliability of the instruments. Conclusion:The presented research framework might be a doorstep for future study in this area of KM. Moreover, practitioners may use the proposed framework to measure the intention of individuals to be involved in KM process before actually embarking to it. However, the framework and the model should be tested in different socio cultural and organizational climate to make it robust.

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Involvement of Service Knowledge Management System in Integration of ITIL V3 and Enterprise Architecture

Cited by 5 publications

References 15 publications

Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Managing Waste Elimination Database in Lean Manufacturing: Improve Problem Solving Capability

Investigating Individuals' Intention to be Involved in Knowledge Management Process

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