Globalization has influenced information dissemination speed and retrieval. Exchanging information using
the latest technologies is feasible regardless of geographical location and time. Organizations’
sustainability depends on how knowledge is created, retained, and used efficiently. However, nowadays
enterprise environment is built on a centric paradigm unsuitable for web 3.0 technologies, including
blockchain; hence, transforming to an adaptable form is needed to maintain their rank in the competitive
world. This paper surveys the impact and performance of blockchain technology on the enterprise’s
knowledge base. The overall aim is to assist blockchainadoption decisions for enhancing knowledge asset
management, considering factors including their intellectual capital and overall business needs. The review
reveals that utilizing blockchain can benefit enterprises’ knowledge capital, including cost reduction and
digital representation of assets while maintaining them immutable, transparent, and secured. The results
recommend further research utilizing a quantitative analysis of activities andtrajectories.
Knowledge Management in the Cloud: Benefits and RisksEditor IJCATR
The success of organizations largely depends on continual investment in learning and acquiring new knowledge that creates
new businesses and improve existing performance. So, using Knowledge management must result in better achieving, or even
exceeding, organizations objectives. The purpose of knowledge management must not be to just become more knowledgeable, but to
be able to create, transfer and apply knowledge with the purpose of better achieving objectives. As new technologies and paradigms
emerge, businesses have to make new efforts to properly get aligned with them, especially in knowledge management area. Today the
Cloud Computing paradigm is becoming more and more popular, due to the vast decrease in time, cost and effort for meeting software
development needs. It also provides a great means for gathering and redistributing knowledge. In this paper, we will discuss the
benefits and risks of using cloud computing in knowledge management systems.
The amount of data has exploded over the last ten years. Data is captured and shared from personal devices, transactional operations, sensors, social media and other sources. Firms should, thus, be able to explore the new opportunities and rapidly seize them by developing the corresponding capabilities. In our work, we focus on two emerging dynamic capabilities: Absorptive capacity and organizational agility. We propose a new theoretical Framework based on the previous literature linking the use of knowledge management systems and firm’s organizational agility by highlighting the mediating role of firm’s absorptive capacity. In addition, we carried out an empirical study based on a survey to support and validate the proposed Framework. The main findings of this study are presented.
The amount of data has exploded over the last ten years. Data is captured and shared from personal
devices, transactional operations, sensors, social media and other sources. Firms should, thus, be able to
explore the new opportunities and rapidly seize them by developing the corresponding capabilities. In our
work, we focus on two emerging dynamic capabilities: Absorptive capacity and organizational agility. We
propose a new theoretical Framework based on the previous literature linking the use of knowledge
management systems and firm’s organizational agility by highlighting the mediating role of firm’s
absorptive capacity. In addition, we carried out an empirical study based on a survey to support and
validate the proposed Framework. The main findings of this study are presented
TOWARDS A NEW FRAMEWORK LINKING KNOWLEDGE MANAGEMENT SYSTEMS AND ORGANIZATION...ijcseit
The amount of data has exploded over the last ten years. Data is captured and shared from personal
devices, transactional operations, sensors, social media and other sources. Firms should, thus, be able to
explore the new opportunities and rapidly seize them by developing the corresponding capabilities. In our
work, we focus on two emerging dynamic capabilities: Absorptive capacity and organizational agility. We
propose a new theoretical Framework based on the previous literature linking the use of knowledge
management systems and firm’s organizational agility by highlighting the mediating role of firm’s
absorptive capacity. In addition, we carried out an empirical study based on a survey to support and
validate the proposed Framework. The main findings of this study are presented.
Net impact implementation application development life-cycle management in ba...CSITiaesprime
Digital transformation in the banking sector creates a lot of demand for application development, either new development or application enhancement. Continuous demand for reimagining, revamping, and running applications reliably needs to be supported by collaboration tools. Several big banks in Indonesia use Atlassian products, including Jira, Confluence, Bamboo, Bitbucket, and Crowd, to support strategic company projects. We need to measure the net impact of application development life-cycle management (ADLM) as a collaboration tool. Using the deLone and McLean model, process questionnaire data from banks in Indonesia that use ADLM. Processing data using structural equation modeling (SEM), multiple variables are analyzed statistically to establish, estimate, and test the causation model. The conclusions highlight that system quality strongly affected only User Satisfaction (p=0.049 and β=0.39). Information quality strongly affected use (p=0.001 and β=0.84) and strongly affected user satisfaction (p=0.169 and β=0.28). Service quality strongly affected only use (p=0.127 and β=0.31). Conclusion research verifies the information system's achievement approach described by DeLone and McLean. Importantly, it was discovered that system usability and quality were key indicators of ADLM success. To fulfill their objective, ADLM must be developed in a way that is simple to use, adaptable, and functional.
LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCE...ijdpsjournal
In recent past, big data opportunities have gained much momentum to enhance knowledge management in
organizations. However, big data due to its various properties like high volume, variety, and velocity can
no longer be effectively stored and analyzed with traditional data management techniques to generate
values for knowledge development. Hence, new technologies and architectures are required to store and
analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for
effective decision making by organizations. More specifically, it is necessary to have a single infrastructure
which provides common functionality of knowledge management, and flexible enough to handle different
types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and
processing large volume of data can be used for efficient big data processing because it minimizes the
initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to
explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual
framework that can analyze big data in real time to facilitate enhanced decision making intended for
competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship
between big data analytics and knowledge management which are mostly deemed as two distinct entities.
Knowledge Management in the Cloud: Benefits and RisksEditor IJCATR
The success of organizations largely depends on continual investment in learning and acquiring new knowledge that creates
new businesses and improve existing performance. So, using Knowledge management must result in better achieving, or even
exceeding, organizations objectives. The purpose of knowledge management must not be to just become more knowledgeable, but to
be able to create, transfer and apply knowledge with the purpose of better achieving objectives. As new technologies and paradigms
emerge, businesses have to make new efforts to properly get aligned with them, especially in knowledge management area. Today the
Cloud Computing paradigm is becoming more and more popular, due to the vast decrease in time, cost and effort for meeting software
development needs. It also provides a great means for gathering and redistributing knowledge. In this paper, we will discuss the
benefits and risks of using cloud computing in knowledge management systems.
The amount of data has exploded over the last ten years. Data is captured and shared from personal devices, transactional operations, sensors, social media and other sources. Firms should, thus, be able to explore the new opportunities and rapidly seize them by developing the corresponding capabilities. In our work, we focus on two emerging dynamic capabilities: Absorptive capacity and organizational agility. We propose a new theoretical Framework based on the previous literature linking the use of knowledge management systems and firm’s organizational agility by highlighting the mediating role of firm’s absorptive capacity. In addition, we carried out an empirical study based on a survey to support and validate the proposed Framework. The main findings of this study are presented.
The amount of data has exploded over the last ten years. Data is captured and shared from personal
devices, transactional operations, sensors, social media and other sources. Firms should, thus, be able to
explore the new opportunities and rapidly seize them by developing the corresponding capabilities. In our
work, we focus on two emerging dynamic capabilities: Absorptive capacity and organizational agility. We
propose a new theoretical Framework based on the previous literature linking the use of knowledge
management systems and firm’s organizational agility by highlighting the mediating role of firm’s
absorptive capacity. In addition, we carried out an empirical study based on a survey to support and
validate the proposed Framework. The main findings of this study are presented
TOWARDS A NEW FRAMEWORK LINKING KNOWLEDGE MANAGEMENT SYSTEMS AND ORGANIZATION...ijcseit
The amount of data has exploded over the last ten years. Data is captured and shared from personal
devices, transactional operations, sensors, social media and other sources. Firms should, thus, be able to
explore the new opportunities and rapidly seize them by developing the corresponding capabilities. In our
work, we focus on two emerging dynamic capabilities: Absorptive capacity and organizational agility. We
propose a new theoretical Framework based on the previous literature linking the use of knowledge
management systems and firm’s organizational agility by highlighting the mediating role of firm’s
absorptive capacity. In addition, we carried out an empirical study based on a survey to support and
validate the proposed Framework. The main findings of this study are presented.
Net impact implementation application development life-cycle management in ba...CSITiaesprime
Digital transformation in the banking sector creates a lot of demand for application development, either new development or application enhancement. Continuous demand for reimagining, revamping, and running applications reliably needs to be supported by collaboration tools. Several big banks in Indonesia use Atlassian products, including Jira, Confluence, Bamboo, Bitbucket, and Crowd, to support strategic company projects. We need to measure the net impact of application development life-cycle management (ADLM) as a collaboration tool. Using the deLone and McLean model, process questionnaire data from banks in Indonesia that use ADLM. Processing data using structural equation modeling (SEM), multiple variables are analyzed statistically to establish, estimate, and test the causation model. The conclusions highlight that system quality strongly affected only User Satisfaction (p=0.049 and β=0.39). Information quality strongly affected use (p=0.001 and β=0.84) and strongly affected user satisfaction (p=0.169 and β=0.28). Service quality strongly affected only use (p=0.127 and β=0.31). Conclusion research verifies the information system's achievement approach described by DeLone and McLean. Importantly, it was discovered that system usability and quality were key indicators of ADLM success. To fulfill their objective, ADLM must be developed in a way that is simple to use, adaptable, and functional.
LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCE...ijdpsjournal
In recent past, big data opportunities have gained much momentum to enhance knowledge management in
organizations. However, big data due to its various properties like high volume, variety, and velocity can
no longer be effectively stored and analyzed with traditional data management techniques to generate
values for knowledge development. Hence, new technologies and architectures are required to store and
analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for
effective decision making by organizations. More specifically, it is necessary to have a single infrastructure
which provides common functionality of knowledge management, and flexible enough to handle different
types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and
processing large volume of data can be used for efficient big data processing because it minimizes the
initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to
explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual
framework that can analyze big data in real time to facilitate enhanced decision making intended for
competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship
between big data analytics and knowledge management which are mostly deemed as two distinct entities.
LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCE...ijdpsjournal
In recent past, big data opportunities have gained much momentum to enhance knowledge management in
organizations. However, big data due to its various properties like high volume, variety, and velocity can
no longer be effectively stored and analyzed with traditional data management techniques to generate
values for knowledge development. Hence, new technologies and architectures are required to store and
analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for
effective decision making by organizations. More specifically, it is necessary to have a single infrastructure
which provides common functionality of knowledge management, and flexible enough to handle different
types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and
processing large volume of data can be used for efficient big data processing because it minimizes the
initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to
explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual
framework that can analyze big data in real time to facilitate enhanced decision making intended for
competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship
between big data analytics and knowledge management which are mostly deemed as two distinct entities.
LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANC...ijdpsjournal
In recent past, big data opportunities have gained much momentum to enhance knowledge management in
organizations. However, big data due to its various properties like high volume, variety, and velocity can
no longer be effectively stored and analyzed with traditional data management techniques to generate
values for knowledge development. Hence, new technologies and architectures are required to store and
analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for
effective decision making by organizations. More specifically, it is necessary to have a single infrastructure
which provides common functionality of knowledge management, and flexible enough to handle different
types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and
processing large volume of data can be used for efficient big data processing because it minimizes the
initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to
explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual
framework that can analyze big data in real time to facilitate enhanced decision making intended for
competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship
between big data analytics and knowledge management which are mostly deemed as two distinct entities.
A HEALTH RESEARCH COLLABORATION CLOUD ARCHITECTUREijccsa
Cloud computing platforms used for research collaborations within public health domains are limited in terms of how service components are organized and provisioned. This challenge is intensified by platform level challenges of transparency, confidentiality, privacy and trust. Addressing these collaboration issues will necessitate that components are reorganized. There is a need for secure and efficient approaches of reorganizing the service components, with trust to support collaboration related requirements. Through iterative design, a reliable and trust-aware re-organization of cloud components – the Collaboration cloud architecture is achieved. We utilize SOA, Privacy-By-Design principles and insights from blockchain to enforce trust. We illustrate its potential with multi-layer security process flow based on server-to-client tokens, Role-based Access Control and the traditional authentication – username and password with assurance for privacy and trust. The architecture shows promise towards data governance and the overall management of internal or external data flows.
A HEALTH RESEARCH COLLABORATION CLOUD ARCHITECTUREijccsa
Cloud computing platforms used for research collaborations within public health domains are limited in terms of how service components are organized and provisioned. This challenge is intensified by platform level challenges of transparency, confidentiality, privacy and trust. Addressing these collaboration issues will necessitate that components are reorganized. There is a need for secure and efficient approaches of reorganizing the service components, with trust to support collaboration related requirements. Through iterative design, a reliable and trust-aware re-organization of cloud components – the Collaboration cloud architecture is achieved. We utilize SOA, Privacy-By-Design principles and insights from blockchain to enforce trust. We illustrate its potential with multi-layer security process flow based on server-to-client tokens, Role-based Access Control and the traditional authentication – username and password with assurance for privacy and trust. The architecture shows promise towards data governance and the overall management of internal or external data flows.
A HEALTH RESEARCH COLLABORATION CLOUD ARCHITECTUREijccsa
Cloud computing platforms used for research collaborations within public health domains are limited in terms of how service components are organized and provisioned. This challenge is intensified by platform level challenges of transparency, confidentiality, privacy and trust. Addressing these collaboration issues will necessitate that components are reorganized. There is a need for secure and efficient approaches of reorganizing the service components, with trust to support collaboration related requirements. Through
iterative design, a reliable and trust-aware re-organization of cloud components – the Collaboration cloud architecture is achieved. We utilize SOA, Privacy-By-Design principles and insights from blockchain to
enforce trust. We illustrate its potential with multi-layer security process flow based on server-to-client tokens, Role-based Access Control and the traditional authentication – username and password with assurance for privacy and trust. The architecture shows promise towards data governance and the overall management of internal or external data flows.
Knowledge management (KM) has become an effective way of managing organization‟s intellectual capital or, in other words, organization‟s full experience, skills and knowledge that is relevant for more effective performance in future. The paper proposes a knowledge management to achieve a competitive control of the machining systems. Then an application of Knowledge Management in engineering has been attempted to explain. The model can be used by the manager for the choosing of competitive orders.
FRAMEWORK FOR EDUCATIONAL COMPETENCE WITH EMERGING SCENARIOijcsit
For effective management and governance of education system, several efforts have been evolving
continuously by using Information Communication and Technology for Educational Management. The role
of the Information and Communication Technology (ICT) infrastructure particularly services require for
the data intensive and communication intensive application becomes more important. Further, due to the
massive growth of information, situation becomes difficult to manage these services. The present paper
discusses the related issues such as competence building, creation of appropriate ICT infrastructure, ICT
acceptance level etc. required for Information Technology for Educational Management(ITEM)
competence building framework, considered in an earlier approach for core competences for ITEM.
Therefore, it becomes essential to consider the global standard and relevant ICT infrastructure. This effort
will help in activities and resource management for effective implementation of the framework.
APPLICATION OF A MULTILEVEL TECHNOLOGY ACCEPTANCE MANAGEMENT MODEL FOR EFFECT...ijcsit
Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance pred
Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.
1
45
Table of Contents
Introduction3
Need for technology-based solutions3
Infrastructure Automation Tools4
Implementation4
The Central Theory: Organizational Management and Memory4
Organizational Management4
Organizational Memory4
Need of Data Archival And Storage5
Data Storage.5
Types of Storage.6
Data Archival9
Data Archival Process9
Archiving principles12
Data Management Systems12
Enterprise Resource Planning Systems (ERP systems) for data integration.13
Microservices.15
Properties of Monolithic.17
Conclusion22
References24
Introduction
Technology is considered vital in today's globalized world. Especially in terms of business, information technology has both quantifiable and unquantifiable benefits. It is essential to communicate with customers and stakeholders regularly and necessary for communicating quickly and clearly. It helps in implementing business operations efficiently and effectively, also. A business with robust technological capacity creates new opportunities for a company to stay ahead of the competition and grow eventually (Rangus & Slavec, 2017). Consequently, it also makes dynamic teams that can interact from anywhere in the world—furthermore, technology aids in understanding the business needs and managing and securing confidential and critical data.Need for technology-based solutions
The need for data recovery, active and continuous data processing by its life cycle of significance and utility for research, scientific and educational purposes (Bukari Zakaria & Mamman, 2014). The acknowledgment that information is an organization's key asset since late, decisively affecting its profitability, has contributed to some comprehensive corporate memory approaches. The key causes of competitive advantage are corporate memory and organizational learning ability (C. Priya, 2011). Hence the main obstacle is the effectiveness of information management while ensuring the consistency of training facilities.
Organizations need robust technology-based solutions. Thus, software developers have developed and deployed various forms of overtime architectures that enable software products to become resource-effective and usable. Some architectures implement their frameworks in either one layer or various layers or levels (Suresh, 2012). It is understood that ERP implementation efficiency of ERP implementations is influenced by the rise or excess of a certain degree of capability in the volume of data to process (Johansson, 2012). In the last couple of decades, new architectures have been created with creativity that offers optimum solutions. Thus, the microservices architecture is gaining room and becoming part of the technological, financial, and advertising decision-making process. Microservices replace monolithic, tightly dispersed system-focused applications with an independent operation (Vrîncianu, Anica-Popa, & Anica-Popa, 2009).Infrastructure Automation Tools
One issue as microservices are applied is that any s ...
1
45
Table of Contents
Introduction3
Need for technology-based solutions3
Infrastructure Automation Tools4
Implementation4
The Central Theory: Organizational Management and Memory4
Organizational Management4
Organizational Memory4
Need of Data Archival And Storage5
Data Storage.5
Types of Storage.6
Data Archival9
Data Archival Process9
Archiving principles12
Data Management Systems12
Enterprise Resource Planning Systems (ERP systems) for data integration.13
Microservices.15
Properties of Monolithic.17
Conclusion22
References24
Introduction
Technology is considered vital in today's globalized world. Especially in terms of business, information technology has both quantifiable and unquantifiable benefits. It is essential to communicate with customers and stakeholders regularly and necessary for communicating quickly and clearly. It helps in implementing business operations efficiently and effectively, also. A business with robust technological capacity creates new opportunities for a company to stay ahead of the competition and grow eventually (Rangus & Slavec, 2017). Consequently, it also makes dynamic teams that can interact from anywhere in the world—furthermore, technology aids in understanding the business needs and managing and securing confidential and critical data.Need for technology-based solutions
The need for data recovery, active and continuous data processing by its life cycle of significance and utility for research, scientific and educational purposes (Bukari Zakaria & Mamman, 2014). The acknowledgment that information is an organization's key asset since late, decisively affecting its profitability, has contributed to some comprehensive corporate memory approaches. The key causes of competitive advantage are corporate memory and organizational learning ability (C. Priya, 2011). Hence the main obstacle is the effectiveness of information management while ensuring the consistency of training facilities.
Organizations need robust technology-based solutions. Thus, software developers have developed and deployed various forms of overtime architectures that enable software products to become resource-effective and usable. Some architectures implement their frameworks in either one layer or various layers or levels (Suresh, 2012). It is understood that ERP implementation efficiency of ERP implementations is influenced by the rise or excess of a certain degree of capability in the volume of data to process (Johansson, 2012). In the last couple of decades, new architectures have been created with creativity that offers optimum solutions. Thus, the microservices architecture is gaining room and becoming part of the technological, financial, and advertising decision-making process. Microservices replace monolithic, tightly dispersed system-focused applications with an independent operation (Vrîncianu, Anica-Popa, & Anica-Popa, 2009).Infrastructure Automation Tools
One issue as microservices are applied is that any s ...
A developed distributed ledger technology architectural layer framework for d...BokoloTonny
Distributed Ledger technology (DLT) has recently emerged as a disruptive system
with a wide range of applicability, with prospect to improve societal interactions at
large. In virtual enterprise (VE) context researchers and practitioners have started
to investigate the deployment of DLT to automate the processing of data and implementation of decisions to support the provision of digital services. Although academic interest in this domain is growing, a practical analysis of DLT from a governance perspective is still lacking to date. Accordingly, this study aims to fill this gap
and provide implications related to decentralized governance of DLT. This article
develops an architectural governance-by-design framework that defines the governance of DLT as a combination of architectural layers and governance of DLT dimensions. Design science is employed, and IOTA tangle an open-source DLT which
employs a decentralized asynchronous network is deployed to evaluate the applicability of the developed architectural governance-by-design framework through qualitative interviews and literature inquiry. The findings confirm the developed architectural governance-by-design framework and offer a shared discussion and insight
surrounding the topic of governance of DLT. The findings also identify limitations
associated with governance of DLT solutions and proposes policy recommendations
to be used as guidelines for practitioners to improve the adoption of DLT to accelerate VE digitalization.
The globalization of finance market as well as products have forced monetary institutions to have an organized knowledge-based model that is efficient in managing banking operations. This paper proposes a Model for efficient Bank Management. The Bank Management System allows maintainance of an account in a bank. In this paper a study of functionality of a Bank Account Management System is discussed in order to gain better understanding of technical features offered by banks. Every organization needs to define and manage requirements to ensure customer needs are met, while proving compliance and staying on the schedule. Thus a knowledge management model will allow incorporating all processes so as to permit various features effectively. The model thus proposed encompasses knowledge creation, its retention as well as enabling sharing of how each element can be integrated in enhancing the quality of banking operations. This paper presents Bank management as an extension of Knowledge Management.
From IT service management to IT service governance: An ontological approach ...IJECEIAES
Some companies have achieved better performance as a result of their IT investments, while others have not, as organizations are interested in calculating the value added by their IT. There is a wide range of literature that agrees that the best practices used by organizations promote continuous improvement in service delivery. Nevertheless, overuse of these practices can have undesirable effects and unquantified investments. This paper proposed a practical tool formally developed according to the DSR design science approach, it addresses a domain relevant to both practitioners and academics by providing IT service governance (ITSG) domain model ontology, concerned with maximizing the clarity and veracity of the concepts within it. The results revealed that the proposed ontology resolved key barriers to ITSG process adoption in organizations, and that combining COBIT and ITIL practices would help organizations better manage their IT services and achieve better business-IT alignment.
First Word: Unfurling the Blockchain BlueprintCognizant
Organizations worldwide see blockchain as a significant force for their business and industry, and are well on their way to developing a strategy, with an eye on reducing operating costs, automating key business processes and enhancing trust and transparency, our latest study reveals.
MECHANISMS FOR DIGITAL TRANSFORMATION IN THE EDUCATION AND HEALTHCARE SECTORS...IJNSA Journal
This paper argues for the consideration of a decentralized, open, interoperable identity framework as a secure, scalable, user-centered meta-platform capable of leveraging many aggregate network advantages and delivery options for education and healthcare providers. An overview of the shortfalls and vulnerabilities of the current Internet and systems for identity management is first explained, followed by a summary of the status of development and primary proponents of decentralized, blockchain-enabled, self-sovereign identification (SSI). An examination of the Key Event Receipt Infrastructure (KERI) open-source decentralized key management infrastructure (DKMI) and its primary root-of-trust in self-certifying identifiers (SCID) is evaluated. This paper recommends KERI for consideration as a potential meta-platform overlay and solution for both the education and health industries as a means of attaining their primary goal of being more user versus institution-centric in their core interactions and processes. Finally, some pathways for future research are recommended.
In today's economy, enterprises require knowledge more than ever before. Employees are being classified through their skill set and experience, where the tacit knowledge of individuals is the key factor. The effect of knowledge hunger can be easily seen in agile software development teams. To sustain the quality permanence of software development, it is essential to transform individuals' tacit knowledge to core organizational knowledge. To achieve this goal, every software development process utilizes different knowledge sharing and creation approaches. In this paper, knowledge sharing issues are surveyed and categorized into: 1) sociological issues, 2) documentation issues, and 3) implementation issues with/without pair programming. Finally, a proposed technique, Knowledge Temple, is introduced as feasible improvement to well-known knowledge sharing problems for small agile software development teams.
LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCE...ijdpsjournal
In recent past, big data opportunities have gained much momentum to enhance knowledge management in
organizations. However, big data due to its various properties like high volume, variety, and velocity can
no longer be effectively stored and analyzed with traditional data management techniques to generate
values for knowledge development. Hence, new technologies and architectures are required to store and
analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for
effective decision making by organizations. More specifically, it is necessary to have a single infrastructure
which provides common functionality of knowledge management, and flexible enough to handle different
types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and
processing large volume of data can be used for efficient big data processing because it minimizes the
initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to
explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual
framework that can analyze big data in real time to facilitate enhanced decision making intended for
competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship
between big data analytics and knowledge management which are mostly deemed as two distinct entities.
LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANC...ijdpsjournal
In recent past, big data opportunities have gained much momentum to enhance knowledge management in
organizations. However, big data due to its various properties like high volume, variety, and velocity can
no longer be effectively stored and analyzed with traditional data management techniques to generate
values for knowledge development. Hence, new technologies and architectures are required to store and
analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for
effective decision making by organizations. More specifically, it is necessary to have a single infrastructure
which provides common functionality of knowledge management, and flexible enough to handle different
types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and
processing large volume of data can be used for efficient big data processing because it minimizes the
initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to
explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual
framework that can analyze big data in real time to facilitate enhanced decision making intended for
competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship
between big data analytics and knowledge management which are mostly deemed as two distinct entities.
A HEALTH RESEARCH COLLABORATION CLOUD ARCHITECTUREijccsa
Cloud computing platforms used for research collaborations within public health domains are limited in terms of how service components are organized and provisioned. This challenge is intensified by platform level challenges of transparency, confidentiality, privacy and trust. Addressing these collaboration issues will necessitate that components are reorganized. There is a need for secure and efficient approaches of reorganizing the service components, with trust to support collaboration related requirements. Through iterative design, a reliable and trust-aware re-organization of cloud components – the Collaboration cloud architecture is achieved. We utilize SOA, Privacy-By-Design principles and insights from blockchain to enforce trust. We illustrate its potential with multi-layer security process flow based on server-to-client tokens, Role-based Access Control and the traditional authentication – username and password with assurance for privacy and trust. The architecture shows promise towards data governance and the overall management of internal or external data flows.
A HEALTH RESEARCH COLLABORATION CLOUD ARCHITECTUREijccsa
Cloud computing platforms used for research collaborations within public health domains are limited in terms of how service components are organized and provisioned. This challenge is intensified by platform level challenges of transparency, confidentiality, privacy and trust. Addressing these collaboration issues will necessitate that components are reorganized. There is a need for secure and efficient approaches of reorganizing the service components, with trust to support collaboration related requirements. Through iterative design, a reliable and trust-aware re-organization of cloud components – the Collaboration cloud architecture is achieved. We utilize SOA, Privacy-By-Design principles and insights from blockchain to enforce trust. We illustrate its potential with multi-layer security process flow based on server-to-client tokens, Role-based Access Control and the traditional authentication – username and password with assurance for privacy and trust. The architecture shows promise towards data governance and the overall management of internal or external data flows.
A HEALTH RESEARCH COLLABORATION CLOUD ARCHITECTUREijccsa
Cloud computing platforms used for research collaborations within public health domains are limited in terms of how service components are organized and provisioned. This challenge is intensified by platform level challenges of transparency, confidentiality, privacy and trust. Addressing these collaboration issues will necessitate that components are reorganized. There is a need for secure and efficient approaches of reorganizing the service components, with trust to support collaboration related requirements. Through
iterative design, a reliable and trust-aware re-organization of cloud components – the Collaboration cloud architecture is achieved. We utilize SOA, Privacy-By-Design principles and insights from blockchain to
enforce trust. We illustrate its potential with multi-layer security process flow based on server-to-client tokens, Role-based Access Control and the traditional authentication – username and password with assurance for privacy and trust. The architecture shows promise towards data governance and the overall management of internal or external data flows.
Knowledge management (KM) has become an effective way of managing organization‟s intellectual capital or, in other words, organization‟s full experience, skills and knowledge that is relevant for more effective performance in future. The paper proposes a knowledge management to achieve a competitive control of the machining systems. Then an application of Knowledge Management in engineering has been attempted to explain. The model can be used by the manager for the choosing of competitive orders.
FRAMEWORK FOR EDUCATIONAL COMPETENCE WITH EMERGING SCENARIOijcsit
For effective management and governance of education system, several efforts have been evolving
continuously by using Information Communication and Technology for Educational Management. The role
of the Information and Communication Technology (ICT) infrastructure particularly services require for
the data intensive and communication intensive application becomes more important. Further, due to the
massive growth of information, situation becomes difficult to manage these services. The present paper
discusses the related issues such as competence building, creation of appropriate ICT infrastructure, ICT
acceptance level etc. required for Information Technology for Educational Management(ITEM)
competence building framework, considered in an earlier approach for core competences for ITEM.
Therefore, it becomes essential to consider the global standard and relevant ICT infrastructure. This effort
will help in activities and resource management for effective implementation of the framework.
APPLICATION OF A MULTILEVEL TECHNOLOGY ACCEPTANCE MANAGEMENT MODEL FOR EFFECT...ijcsit
Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance pred
Effective deployment of a technology in an environment is the desire of many system developers. Positive uptake of a technology coupled with user acceptance is deemed as a key indicator towards technology acceptance. Knowledge is weighed as a strategic resource for any successful data driven decision making initiative. Institutions leverage on technological initiatives and tools to drive knowledge management (KM) initiatives that enhance quality service delivery and prudent data management. These initiatives provide the overall strategy for managing data resources. They make available knowledge organization tools and techniques while enabling regular updates. Derived benefits of positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of e-commerce. Successful and timely adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes the application of a wholesome multilevel technology acceptance management model towards effective technology deployment. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully.
1
45
Table of Contents
Introduction3
Need for technology-based solutions3
Infrastructure Automation Tools4
Implementation4
The Central Theory: Organizational Management and Memory4
Organizational Management4
Organizational Memory4
Need of Data Archival And Storage5
Data Storage.5
Types of Storage.6
Data Archival9
Data Archival Process9
Archiving principles12
Data Management Systems12
Enterprise Resource Planning Systems (ERP systems) for data integration.13
Microservices.15
Properties of Monolithic.17
Conclusion22
References24
Introduction
Technology is considered vital in today's globalized world. Especially in terms of business, information technology has both quantifiable and unquantifiable benefits. It is essential to communicate with customers and stakeholders regularly and necessary for communicating quickly and clearly. It helps in implementing business operations efficiently and effectively, also. A business with robust technological capacity creates new opportunities for a company to stay ahead of the competition and grow eventually (Rangus & Slavec, 2017). Consequently, it also makes dynamic teams that can interact from anywhere in the world—furthermore, technology aids in understanding the business needs and managing and securing confidential and critical data.Need for technology-based solutions
The need for data recovery, active and continuous data processing by its life cycle of significance and utility for research, scientific and educational purposes (Bukari Zakaria & Mamman, 2014). The acknowledgment that information is an organization's key asset since late, decisively affecting its profitability, has contributed to some comprehensive corporate memory approaches. The key causes of competitive advantage are corporate memory and organizational learning ability (C. Priya, 2011). Hence the main obstacle is the effectiveness of information management while ensuring the consistency of training facilities.
Organizations need robust technology-based solutions. Thus, software developers have developed and deployed various forms of overtime architectures that enable software products to become resource-effective and usable. Some architectures implement their frameworks in either one layer or various layers or levels (Suresh, 2012). It is understood that ERP implementation efficiency of ERP implementations is influenced by the rise or excess of a certain degree of capability in the volume of data to process (Johansson, 2012). In the last couple of decades, new architectures have been created with creativity that offers optimum solutions. Thus, the microservices architecture is gaining room and becoming part of the technological, financial, and advertising decision-making process. Microservices replace monolithic, tightly dispersed system-focused applications with an independent operation (Vrîncianu, Anica-Popa, & Anica-Popa, 2009).Infrastructure Automation Tools
One issue as microservices are applied is that any s ...
1
45
Table of Contents
Introduction3
Need for technology-based solutions3
Infrastructure Automation Tools4
Implementation4
The Central Theory: Organizational Management and Memory4
Organizational Management4
Organizational Memory4
Need of Data Archival And Storage5
Data Storage.5
Types of Storage.6
Data Archival9
Data Archival Process9
Archiving principles12
Data Management Systems12
Enterprise Resource Planning Systems (ERP systems) for data integration.13
Microservices.15
Properties of Monolithic.17
Conclusion22
References24
Introduction
Technology is considered vital in today's globalized world. Especially in terms of business, information technology has both quantifiable and unquantifiable benefits. It is essential to communicate with customers and stakeholders regularly and necessary for communicating quickly and clearly. It helps in implementing business operations efficiently and effectively, also. A business with robust technological capacity creates new opportunities for a company to stay ahead of the competition and grow eventually (Rangus & Slavec, 2017). Consequently, it also makes dynamic teams that can interact from anywhere in the world—furthermore, technology aids in understanding the business needs and managing and securing confidential and critical data.Need for technology-based solutions
The need for data recovery, active and continuous data processing by its life cycle of significance and utility for research, scientific and educational purposes (Bukari Zakaria & Mamman, 2014). The acknowledgment that information is an organization's key asset since late, decisively affecting its profitability, has contributed to some comprehensive corporate memory approaches. The key causes of competitive advantage are corporate memory and organizational learning ability (C. Priya, 2011). Hence the main obstacle is the effectiveness of information management while ensuring the consistency of training facilities.
Organizations need robust technology-based solutions. Thus, software developers have developed and deployed various forms of overtime architectures that enable software products to become resource-effective and usable. Some architectures implement their frameworks in either one layer or various layers or levels (Suresh, 2012). It is understood that ERP implementation efficiency of ERP implementations is influenced by the rise or excess of a certain degree of capability in the volume of data to process (Johansson, 2012). In the last couple of decades, new architectures have been created with creativity that offers optimum solutions. Thus, the microservices architecture is gaining room and becoming part of the technological, financial, and advertising decision-making process. Microservices replace monolithic, tightly dispersed system-focused applications with an independent operation (Vrîncianu, Anica-Popa, & Anica-Popa, 2009).Infrastructure Automation Tools
One issue as microservices are applied is that any s ...
A developed distributed ledger technology architectural layer framework for d...BokoloTonny
Distributed Ledger technology (DLT) has recently emerged as a disruptive system
with a wide range of applicability, with prospect to improve societal interactions at
large. In virtual enterprise (VE) context researchers and practitioners have started
to investigate the deployment of DLT to automate the processing of data and implementation of decisions to support the provision of digital services. Although academic interest in this domain is growing, a practical analysis of DLT from a governance perspective is still lacking to date. Accordingly, this study aims to fill this gap
and provide implications related to decentralized governance of DLT. This article
develops an architectural governance-by-design framework that defines the governance of DLT as a combination of architectural layers and governance of DLT dimensions. Design science is employed, and IOTA tangle an open-source DLT which
employs a decentralized asynchronous network is deployed to evaluate the applicability of the developed architectural governance-by-design framework through qualitative interviews and literature inquiry. The findings confirm the developed architectural governance-by-design framework and offer a shared discussion and insight
surrounding the topic of governance of DLT. The findings also identify limitations
associated with governance of DLT solutions and proposes policy recommendations
to be used as guidelines for practitioners to improve the adoption of DLT to accelerate VE digitalization.
The globalization of finance market as well as products have forced monetary institutions to have an organized knowledge-based model that is efficient in managing banking operations. This paper proposes a Model for efficient Bank Management. The Bank Management System allows maintainance of an account in a bank. In this paper a study of functionality of a Bank Account Management System is discussed in order to gain better understanding of technical features offered by banks. Every organization needs to define and manage requirements to ensure customer needs are met, while proving compliance and staying on the schedule. Thus a knowledge management model will allow incorporating all processes so as to permit various features effectively. The model thus proposed encompasses knowledge creation, its retention as well as enabling sharing of how each element can be integrated in enhancing the quality of banking operations. This paper presents Bank management as an extension of Knowledge Management.
From IT service management to IT service governance: An ontological approach ...IJECEIAES
Some companies have achieved better performance as a result of their IT investments, while others have not, as organizations are interested in calculating the value added by their IT. There is a wide range of literature that agrees that the best practices used by organizations promote continuous improvement in service delivery. Nevertheless, overuse of these practices can have undesirable effects and unquantified investments. This paper proposed a practical tool formally developed according to the DSR design science approach, it addresses a domain relevant to both practitioners and academics by providing IT service governance (ITSG) domain model ontology, concerned with maximizing the clarity and veracity of the concepts within it. The results revealed that the proposed ontology resolved key barriers to ITSG process adoption in organizations, and that combining COBIT and ITIL practices would help organizations better manage their IT services and achieve better business-IT alignment.
First Word: Unfurling the Blockchain BlueprintCognizant
Organizations worldwide see blockchain as a significant force for their business and industry, and are well on their way to developing a strategy, with an eye on reducing operating costs, automating key business processes and enhancing trust and transparency, our latest study reveals.
MECHANISMS FOR DIGITAL TRANSFORMATION IN THE EDUCATION AND HEALTHCARE SECTORS...IJNSA Journal
This paper argues for the consideration of a decentralized, open, interoperable identity framework as a secure, scalable, user-centered meta-platform capable of leveraging many aggregate network advantages and delivery options for education and healthcare providers. An overview of the shortfalls and vulnerabilities of the current Internet and systems for identity management is first explained, followed by a summary of the status of development and primary proponents of decentralized, blockchain-enabled, self-sovereign identification (SSI). An examination of the Key Event Receipt Infrastructure (KERI) open-source decentralized key management infrastructure (DKMI) and its primary root-of-trust in self-certifying identifiers (SCID) is evaluated. This paper recommends KERI for consideration as a potential meta-platform overlay and solution for both the education and health industries as a means of attaining their primary goal of being more user versus institution-centric in their core interactions and processes. Finally, some pathways for future research are recommended.
In today's economy, enterprises require knowledge more than ever before. Employees are being classified through their skill set and experience, where the tacit knowledge of individuals is the key factor. The effect of knowledge hunger can be easily seen in agile software development teams. To sustain the quality permanence of software development, it is essential to transform individuals' tacit knowledge to core organizational knowledge. To achieve this goal, every software development process utilizes different knowledge sharing and creation approaches. In this paper, knowledge sharing issues are surveyed and categorized into: 1) sociological issues, 2) documentation issues, and 3) implementation issues with/without pair programming. Finally, a proposed technique, Knowledge Temple, is introduced as feasible improvement to well-known knowledge sharing problems for small agile software development teams.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
BLOCKCHAIN TECHNOLOGY ADOPTION EFFECT ONKNOWLEDGE MANAGEMENT STATE OF THE ART SURVEY
1. International Journal of Managing Value and Supply Chains (IJMVSC) Vol.14, No.1, March 2023
DOI:10.5121/ijmvsc.2023.14102 11
BLOCKCHAIN TECHNOLOGY ADOPTION EFFECT
ONKNOWLEDGE MANAGEMENT STATE OF THE
ART SURVEY
Alshawy Rawan1
and Alrwais Omer2
1
Department of Computer, Prince Sultan University, Riyadh, Saudi Arabia.
2
Department Information Systems, King Saud University, Riyadh, Saudi Arabia.
ABSTRACT
Globalization has influenced information dissemination speed and retrieval. Exchanging information using
the latest technologies is feasible regardless of geographical location and time. Organizations’
sustainability depends on how knowledge is created, retained, and used efficiently. However, nowadays
enterprise environment is built on a centric paradigm unsuitable for web 3.0 technologies, including
blockchain; hence, transforming to an adaptable form is needed to maintain their rank in the competitive
world. This paper surveys the impact and performance of blockchain technology on the enterprise’s
knowledge base. The overall aim is to assist blockchainadoption decisions for enhancing knowledge asset
management, considering factors including their intellectual capital and overall business needs. The review
reveals that utilizing blockchain can benefit enterprises’ knowledgecapital, including cost reduction and
digital representation of assets while maintaining them immutable, transparent, and secured. The results
recommend further research utilizing a quantitative analysis of activities andtrajectories.
KEYWORDS
Knowledge Management, Blockchain, Decentralized, Enterprises, Performance.
1. INTRODUCTION
The traditional systems with conventional execution and storage infrastructure require more trust
and include transparency issues. The centralized paradigm hinders the possibility of distributing
information with multiple parties while maintaining their ownership rights. Also, the rapid
development of technologies and real-time interaction with various parties over the internet
forces challenges on different business trajectories and limits their level of efficiency. On the other
hand, blockchain-based knowledge management models alleviate encountered problems. The
cryptography and consensus mechanisms prevent cyber-attacks while promoting knowledge
sharing across network parties. Also, the real-time information exchange enhances transparency
characteristics and promotes community- built trust.
This survey paper focuses on state-of-art blockchain concepts, types, consensus algorithms, and
trade-offs. Our main contribution is to address the gaps mentioned above by providing detailed
blockchain- based use cases to enhance knowledge resources management for organizations in
multiple domains.
Also, we discuss the importance of selecting a suitable blockchain solution to leverage the
business performance level.
2. International Journal of Managing Value and Supply Chains (IJMVSC) Vol.14, No.1, March 2023
12
Nevertheless, viewing the existing solution as still viable is relevant. Therefore, further research
is necessary to explore the quantifiable effect of blockchain solutions on knowledge management
modelsand expected benefits and related challenges.
2. KNOWLEDGE MANAGEMENT
Knowledge represents the “know-how” crucial for accomplishing a task. It is more abstract
compared to information and data but has more value. The most conceptual view of knowledge
defines it as information that enables action and leads to an outcome. Knowledge is a valuable
resource for making optimal decisions for organizations. It can reside within the organization’s
employees, vendors, and customers in a tacit form and other locations as a structured form within
the organization’s artifacts andmanuals [1]. The ability to transfer tacit and explicit knowledge
through knowledge management practice, as proposed by Nonaka’s research in 1994 [2] assisted
organizations in leveraging their business activities and leads to better decisions. Enterprises must
manage knowledge internally and externally through knowledge management systems (KMS) [3].
Knowledge resources management effectively is an ultimate goal. Implementing knowledge
management (KM) can assist in achieving and maximizing the return on investments [4].
Knowledge Management definition, as expressed by the information management perspective,
defines the organization’s ability to handle and store knowledge and distribute it wisely [5]. In
contrast, a similar definition from the Information technology perspective defines it as improving
knowledge capturing, storing, and sharing [6]. As commonly said, knowledge management is an
umbrella term that focuses on the efficient handling of organizations’ intellectual assets,
including creation, storage, analysis, sharing, and application [7], [8].
Knowledge management includes six core processes, knowledge recognition, creation, capturing,
processing, sharing, and application [9]. Another view of the knowledge lifecycle divides it into
four phases: discovery, capture, sharing, and application [10]. The core of knowledge
management successis knowledge sharing [11]. Our focus in this research will be on knowledge
sharing and application. Employees use the knowledge management system to transmit their
documented work problems and proposed solutions in the knowledge-sharing phase. Then other
employees will utilize the knowledge base through the knowledge application phase to reduce
errors and enhance work quality in relative tasks [12]. For organizations’ knowledge is vital
Susanto, Permata, Sensuse, and Elisabeth (2021). Ensuring knowledge resources available
whenever needed can positively aid the decision-making process and assists organizations in
building sustainable competitive advantage [4], [13]. A knowledge management system is an
application commonly used by organizations to preserve employees’ knowledge for future
efficient usage [14]. Budianto and Sardjono (2022), higher management has a significant role in
providing proper training for their employees on how to use the KMS effectively, always up to
date, and increase their awareness about the necessity of sharing knowledge on the organization’s
efficiency level [12].
Enhancing organizations’ performance is possible through knowledge sharing. In [15],
quantitative research statistically evaluated the effect of sharing knowledge between employees at
all levels and preserving it through documentation. The research results also aid the innovation of
products and services provided to consumers, positively reflecting customer relationships. For
healthcare organizations enriching the knowledge base is the highest priority due to several
factors, including thedecreasing number of professionals in the future, the necessity of sharing
expertise with young generation employees, and the rapid evolution of healthcare industry tools
and medical practices [16].
6. International Journal of Managing Value and Supply Chains (IJMVSC) Vol.14, No.1, March 2023
16
Ilbiz and Durst (2019) presented a conceptual roadmap for small and medium-sized enterprises
(SMEs) proposed to support deciding on deploying blockchain technology to manage their
knowledge base based on theirneeds and expected outcomes [42].
Traditional management models need to improve on crucial issues related to persuasion or
misinterpretation of knowledge and the necessity of proving ownership. Many influential
individuals, i.e., politicians and popular organizations, strive to communicate with the public freely,
like newspapersand news agencies, to improve their online presence. However, with the current
infrastructure, it is notfeasible. In [48], a solution is proposed based on a permissioned blockchain
that only allows some members to add and verify blocks, and agreements between participants
are maintained with acommittee voting consensus algorithm. The solution applied to facilitate
knowledge sharing between seven universities in the same country while preserving each
knowledge source. The results approved that the blockchain-based knowledge model is more
accountable, decentralized, immutable, andapplicable to related domains.
Blockchain solutions enhance overall performance and create companies’ competitive advantage
through audibility and immutability characteristics. philsoophian, Akhavan, and Namvar (2022)
expressed that the knowledge-sharing issues encountered with traditional knowledge management
are solved by implementing blockchain for efficient knowledge transfer of shared expertise and
know-howbetween parties while supporting relations and building trust. Also, the instant access
and high-security measures incorporated with this technology can improve knowledge
management practices and supports the integrity and privacy required [43].
However, as expressed by Ilbiz et al. [42], blockchain technology is not always a suitable solution
for various trade-offs, including the technology is still very novel and the absence of national and
global regulations. Mittal, Gedeon, and Caldwell (2018) stated that another potential issue is
related to the scalability of the P2P network, especially if the participant number is too large [48].
Moreover, blockchain-based supply chain models have been implemented in many projects, as
stated by Della Valle and Oliver (2021). However, the overall performance is less than required
and must be improvedto work efficiently [46].
5. CONCLUSION AND FUTURE WORK
This survey paper comprehensively explained the knowledge and knowledge management
systems, including their role in managing enterprises’ knowledge assets and the expected benefits
and corresponding challenges. Centralized knowledge management systems are ineffective for
distributed knowledge sharing while preserving intellectual ownership rights—they also need
access monitoring to knowledge assets by authorized users only. Therefore, adopting a
blockchain-driven knowledge management system with provided features, including
transparency, audibility, decentralization, and security is necessary. However, enterprises’
decision-makers must evaluate their business needs and intellectual capital. Then, select suitable
blockchain-based models to achieve their overall goals and benefits of investment.
The primary limitations of this survey are the low number of published papers related to
blockchain technology and knowledge management practices. Also, the lack of analytical results
aids the decisionto invest in this technology.
Future research should investigate the quantitative benefits of blockchain-based models for
organizations’ knowledge asset management, including performance metrics and practical
implantationdetails. Along with technical papers to discuss the practical implementation of the
7. International Journal of Managing Value and Supply Chains (IJMVSC) Vol.14, No.1, March 2023
17
proposed models andthe necessary infrastructure changes to guide the transition smoothly. Also,
the financial gains of blockchain-based models’ investment in the business activities and
achievement level.
ACKNOWLEDGEMENTS
The authors would like to thank Prince Sultan University for their support.
REFERENCES
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AUTHORS
Rawan A. Alshawy, works as a lecturer at Prince Sultan University. Ms. Alshawy is a Ph.D. Student atking
Saud university. Ms. Alshawy has completed her master’s in information systems specialized in Machine
Learning and Big data from king Saud university, 2020. Ms. Alshawy research interests are Blockchain,
Artificial Intelligence, and Machine learning.
Dr. Omer Alrwais, works as assistant professor at king Saud university. Dr. Alrwais research focuses on
how GIS impacts decision-making and how public organizations use GIS to support strategic management.
Dr. Alrwais research interests are GIS, IT maturity models, E-Government and data mining.