Example of designing a business process oriented autopoietic knowledge management support system.

Author(s):  
Mariusz Żytniewski
Author(s):  
Agnieta B. Pretorius ◽  
F.P. (Petrie) Coetzee

Existing literature propagates a variety of methods for assessment of intellectual capital (IC). This research argues that, due to complexities involved in selecting and customizing an appropriate method or combination of methods for assessing intellectual capital, mechanisms are needed for managing and applying the evolving body of knowledge concerning such assessment. The assumption of complexity is supported by the results obtained from a survey (employing a self-administered questionnaire as instrument for data collection). This research proceeds to develop a model, referred to as a conceptual design, for a system to (i) provide management support to the process of selecting and customizing an appropriate method (or combination of methods) for assessment of intellectual capital, (ii) utilize past knowledge and expertise to accelerate and improve decision-making, (iii) promote synergism through integration of methods, and (iv) manage the evolving body of knowledge concerning the assessment of IC.


2019 ◽  
Vol 1 (1) ◽  
pp. 123-142
Author(s):  
Sang Ayu Putu Arie Indraswarawati ◽  
I Putu Deddy Samtika Putra ◽  
Ni Wayan Cahyani

The use of Accounting Information System (AIS) is very helpful in accommodating all the information needed to make an accurate decision. Indicators in determining the good and bad performance of an information system can be seen through AIS user satisfaction and usage. The purpose of this study was to determine the effect of top management support, system quality and information quality on AIS user satisfaction. The sample selection method used was purposive sampling. The research sample was 147 people consisting of administrators, loan officers and savings at 29 Lembaga Perkreditan Desa (LPD) in Ubud Subdistrict. The data in this study is primary data which is the answer from the questionnaire. The regression results show that all variables have a significance of 0,000. It shows that top management support, system quality and information quality have positive influences on Accounting Information System user satisfaction.


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