Integrating information technologies and knowledge‐based systems: a theoretical approach in action for enhancements in production and inventory control

Reyes, Pedro; Raisinghani, Mahesh S.

doi:10.1002/kpm.153

Cited by 20 publications

(9 citation statements)

References 14 publications

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“…Knowledge exists when data and information are applied (Becerra-Fernandez 2004 [4]; Beckett et al 2000 [5]; Raisinghani et al 2002 [6]). It has been pointed out that big data, information and knowledge are not the same and many researchers use the term casually.…”

Section: Km and Predictive Analysis Combinedmentioning

confidence: 99%

Knowledge Management and Predictive Analytics in IT Project Risks

A¹,

Ganapathy²,

Yasin³

et al. 2018

IJTSRD

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Knowledge management and predictive analytics are considered to be unusual partners in today's technology. However, they can be very good tools that would solve current problems in valuing data. Predictive analytics has now become one of the forecasting tools that is of huge help in information management. Its application in IT project development risk management is very important, where a lot of raw data is involved with risk analysis and prediction. The use of IT project risk management as supported by knowledge management (KM) will help increase the success rate of IT projects. Knowledge management will bring about additional value to the data needed. This paper presents the usage of KM and predictive analytics to in success ratings of projects by predicting the risks that might happen during project development. It explores how KM and predictive analytics can identify risks in IT project development and give recommendations in evaluating the risks that could affect successful completion of IT projects.

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Section: Km and Predictive Analysis Combinedmentioning

confidence: 99%

Knowledge Management and Predictive Analytics in IT Project Risks

A¹,

Ganapathy²,

Yasin³

et al. 2018

IJTSRD

View full text Add to dashboard Cite

show abstract

“…Knowledge management is beyond technology, but certainly technological background is the indispensable part of it (Thierauf, 1999;Davenport & Prusak, 1998). In that sense, technological changes, namely the catalyzors of knowledge management (Binney, 2001), make the most exciting point of this issue in the points which they make the application of knowledge management (Gottschalk & Khandelwal, 2003;Reyes & Raisinghani, 2002). Moreover, in knowledge management applications, information technologies are used in different and multi-directional ways (Lindvall, Rus, & Sinha, 2003).…”

Section: Technologymentioning

confidence: 99%

Management Science in Knowledge Management

Zehra¹,

Alakoc²,

Burma³

2014

CUBR

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Technological developments, globalization, and numerous information types have caused significant changes in every part of people's life. In this era, along with the occurrence of information society, organizations have also initiated this changing process. Nowadays, increasing competition in economy makes information the most valuable part of production. Management administration, which is of high importance for the firms and which provides advantage in sustainable competition, has become one of the most popular topics. From now on, information is an economical tool for organizations. The people, who have information, are evaluated as powerful. Moreover, if the organizations produce new information from available information, they move ahead of their opponents. Information is in the centre of financial and social change. Meanwhile, information has a key role in both societies' and foundations' superiority struggle over another. Knowledge management is a compile of strategies and processes for creating, finding, and exploiting information. Reaching, gathering, sharing, utilizing, evaluating, and storing information are some of the processes of knowledge management. One of the most important parts of obtaining advantage in competition firms is to evaluate information effectively. In this paper, information management, its importance, its conceptual development, its aim, its underlying perspective, and its processes are highlighted. In the results of the study, two questions have been studied: What can be done in addition to current situation of information management and what are the points need to be careful about. The main focus in this article is on the knowledge management and its importance in the management science.

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“…System quality is influenced by attributes such as easy of use, characteristics of human‐computer interface, and flexibility and effectiveness of search mechanisms. In a short‐term organisational view, KM initiatives should be directly linked to explicit and important aspects of organisational, process, and human resource performance (Reyes and Raisinghani, 2002; Tyndale, 2002) such as level of inter and intra‐communication, time to market, cost savings, competitive positioning, and market shares.…”

Section: The Development Of the Ahp‐based Frameworkmentioning

confidence: 99%

An AHP‐based framework for selecting knowledge management tools to sustain innovation process

Grimaldi

Rippa

2011

Knowl Process Manag

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This paper presents a framework based on the analytic hierarchy process (AHP) methodology to select the most appropriate set of Knowledge Management (KM) tools to support the innovation processes in organizations. The framework builds on the theoretical foundations underlying organizational KM to identify key KM processes enabling innovation. The AHP is a multi-criteria decision support technique that can be used to analyse and compare those KM tools that best support innovation processes. Organizations can select the most suitable KM tool by using the proposed framework to identify gaps and overlaps in the extent to which the capabilities provided and utilized by their current KM tools portfolio meet the KM needs of the organization to sustain the innovation. The main contributions of this work are the list of KM processes to support an innovation activity and the hierarchy of importance of such processes able to support the selection process of a KM tool. The framework can be of use to managers and other practitioners because of its ease of implementation. An illustrative example of a case study for the application of the framework is provided.

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Integrating information technologies and knowledge‐based systems: a theoretical approach in action for enhancements in production and inventory control

Cited by 20 publications

References 14 publications

Knowledge Management and Predictive Analytics in IT Project Risks

Knowledge Management and Predictive Analytics in IT Project Risks

Management Science in Knowledge Management

An AHP‐based framework for selecting knowledge management tools to sustain innovation process

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