Area Of Knowledge Management Research Articles

The mediating role of customer knowledge management on the innovative work behavior and product innovation relationship

PurposeThe purpose of the present research is to introduce a combined framework that integrates innovative work behavior, product innovation process and customer knowledge management; then, to explore the mediating effect of customer knowledge management in the relationship between innovative work behavior and the product innovation process.Design/methodology/approachThe basis for the present research is a cross-sectional design. Data collection from 154 employees occurred using the following structured questionnaires: Customer Knowledge Management (CKM), Innovative Work Behavior (IWB) and Product Innovation Process (PIP). Data processing used SPSS version 26.0, including the PROCESS (3.5) macro analysis.FindingsThe results show positive relationships between innovative work behavior and the product innovation process (r = 0.420, p < 0.01). Pearson's correlation shows a coefficient of 0.42, meaning that 42% of the variations in perceived product innovation are due to variations in innovative work behavior. The second condition of the mediation test involved testing the relationship between the independent variable (Innovative Work Behavior) and the mediating variable (Knowledge Management) and showed a significant relationship (r = 0.272, p < 0.01). The findings suggested that knowledge management that other determinants supported, such as collaboration in idea exploration, idea championing and encouragement of participation in idea implementation, significantly contributed to the product innovation process (r = 0.509, p < 0.01). The bootstrapping method confirmed that innovative work behavior supports product innovation through the mediation of customer knowledge management (z = 3.01, p = 0.002).Research limitations/implicationsThe cross-sectional design, along with the relatively low number of participants and the self-reporting nature of the questionnaires, represent the current study's main limitations. Developing the research model could integrate new variables, such as customer co-creation processes, performance-based compensation, employee citizenship activities and transformational leadership.Practical implicationsThis research has both theoretical and practical implications. These emphasize the importance of further investigation into the factors influencing companies' innovation processes. They also provide managers with a means of finding a fit between the deployment of customer knowledge mechanisms and the achievement of innovative workplace behavior, to improve innovation process efficiency.Originality/valueThe current study broadens the empirical research area of customer knowledge management and its impact on both innovative work behavior and the product innovation process, particularly in knowledge-intensive market scenarios that require organizations to be innovative.

Emergency Project Management Practice in Ethiopia

Emergency Project Management is a kind of project management that often attracts the most attention and resources and its management needs application of knowledge, skills, tools, and techniques to project activities to meet the immediate project output and goal. Proper project management practice is critical for the success of Emergency Project. Thus, the main objective of this study was to assess the extent to which Project Management Knowledge area were applied and identify the challenges in Emergency Project management. The study used descriptive research design and data were obtained through questionnaire. The finding revealed Scoping &amp; Scheduling tools and techniques were not utilized properly. Moreover, Procurement management needs improvement. Some of the knowledge areas were managed informal &amp; traditionally. The study recommended that workable policy documents to lead the procurement and overall Emergency Project management are vital.

Applications of Machine Learning in Knowledge Management System: A Comprehensive Review

As new generations of technology appear, legacy knowledge management solutions and applications become increasingly out of date, necessitating a paradigm shift. Machine learning presents an opportunity by foregoing rule-based knowledge intensive systems inundating the marketplace. An extensive review was made on the literature pertaining to machine learning which common machine learning algorithms were identified. This study has analysed more than 200 papers extracted from Scopus and IEEE databases. Searches ranged with the bulk of the articles from 2018 to 2021, while some articles ranged from 1959 to 2017. The research gap focusses on implementing machine learning algorithm to knowledge management systems, specifically knowledge management attributes. By investigating and reviewing each algorithm extensively, the usability of each algorithm is identified, with its advantages and disadvantages. From there onwards, these algorithms were mapped for what area of knowledge management it may be beneficial. Based on the findings, it is evidently seen how these algorithms are applicable in knowledge management and how it can enhance knowledge management system further. Based on the findings, the paper aims to bridge the gap between the literature in knowledge management and machine learning. A knowledge management–machine learning framework is conceived based on the review done on each algorithm earlier and to bridge the gap between the two literatures. The framework highlights how machine learning algorithm can play a part in different areas of knowledge management. From the framework, it provides practitioners how and where to implement machine learning in knowledge management.

Prediction of failures in the project management knowledge areas using a machine learning approach for software companies

In this paper we propose a novel machine-learning model to predict project management knowledge areas failure for software companies using ten knowledge areas in project management based solely on the criteria of unambiguity, measurability, consistency, and practicability. The majority of software projects fail in software companies due to a lack of software project managers who are unfamiliar with the Project Management Knowledge Areas (PMKAs) that are used without considering the company's conditions or project contexts. By distributing questionnaires, we use an experimental methodology and the snowball sampling method to collect data from software businesses. We employ machine learning techniques including Support Vector Machines (92.13%), Decision Trees (90%), K-Nearest Neighbors (87.64%), Logistic Regression (76.4%), and Naive Bayes (66%) to adapt data from failed software projects. When we look at the results, Support Vector Machine outperforms the other four machine learning methods. High dimensional data is more efficient and contains nonlinear changes since Support Vector Machines deal with categorical data. The study's purpose is to improve project quality and decrease software project failure. Finally, we recommend collecting more failed project datasets from software businesses and comparing them to our findings to predict knowledge domain failure.

Investigating Knowledge Management Practices in an EFL Context in Pakistan

Currently, English as a foreign language (EFL) teachers are supposed to recognize that, creativity among students can be developed through knowledge management practices. The current study aimed to investigate EFL teachers’ knowledge management practices from learner insight. The explanatory mixed method research design was used to investigate the phenomenon. Quantitative data was collected from 298 A-Level students through a survey questionnaire, and qualitative data was collected through 7 A-Level students through an in-depth semi-structured interview. The findings suggested that EFL teachers arrange seminars and co-curricular activities to create knowledge; discussion in and outside classrooms are used to share knowledge; social media and movies are used to utilize knowledge; and notebooks are used to store knowledge in the EFL classroom. The study revealed that benchmark and technological devices to manage knowledge are not frequently practiced by EFL teachers. The study concluded that teachers should be trained in the area of knowledge management regularly.

Discussions on Project Management and Its Success: A Comprehensive Theoretical Review

A project is commonly understood as a temporary endeavor to develop an original product or service over a specific period. Lately, a vast majority of people have recognized the importance of project management, which helps stakeholders execute project tasks effectively. This paper aims to discuss about project failure based on a case study of Titanic and also analyze the importance of triple constraint as well as leadership style. Qualitative methodologies are used to explore the definition of modern project management and critical elements contributing to project success. The referenced sources are various, including but not limited to peer-reviewed articles, professional online videos, and university lecture notes. This research paper finds that a successful linear project should focus on significant management knowledge areas under the triple constraint. In complex project management, effective leadership style also plays an indispensable role as strict management ability. This paper can be adopted as a typical case study for students who have just begun venturing into project management knowledge areas. Further research is recommended for collecting first-hand research data to support the current investigations, such as formal questionnaire surveys.

A review of knowledge management research in the past three decades: a bibliometric analysis

PurposeThis study aims to conduct a bibliometric analysis on knowledge management from journals in the Scopus database between 1988 and 2021. The paper covered the past three decades of publications and carried out performance analysis and science mapping analysis of articles.Design/methodology/approachThe study uses bibliometrics, performance analysis and science mapping analysis of 1,016 articles extracted from the Scopus database. The study examined the scientific productivity of articles, productive authors, citable documents, most relevant institutions, cited countries, co-occurrence of keywords, thematic mapping, co-citations and collaboration of authors and countries. The study used Biblioshiny as a tool to carry out the performance analysis and science mapping analysis.FindingsThe results show that the number of publications has significantly increased in the past decade, 88.4% of authors contribute at least a single article, 8.3% of authors published two articles, 2% of the authors published three documents and 0.6% of the authors contribute four papers. The USA, China and Australia were the most productive countries in terms of the total number of citations and foreign collaborations. Journal of Knowledge Management, Knowledge Management Research and Practice, VINE Journal of Information and Knowledge Management and International Journal of Technology Management are the top outlets in the knowledge management literature.Originality/valueOver the past decade, the research on knowledge management construct has exploded because of the growing interest of researchers and practitioners in the field. Despite being a well-developed field, few studies have applied bibliometric analysis in the knowledge management literature. The study is more comprehensive in terms of the actors and methods involved in analyzing the scientific production of articles in the area of knowledge management.

The Expectations of Project Managers from Artificial Intelligence: A Delphi Study

Artificial intelligence (AI) technologies are rapidly developing these days and are expected to impact the field of project management on multiple levels; however, there remains a high level of uncertainty regarding the effect that AI might have on project management practices. This article aims to address this topic based on a Delphi study with a panel of 52 project management experts who reflected on future potential AI applications for the project management Knowledge Areas. The article provides a visionary perspective that can be further translated into practical solutions in the near and far future to improve project management practices.

Projektowanie efektywnego transferu wiedzy w organizacji - studium przypadku na podstawie projektów migracyjnych realizowanych w dwóch organizacjach typu SSC

This article deals with the subject of knowledge transfer in an organisation, with particular emphasis on the description of tools used for knowledge transfer, as well as the possibility of using theoretical models to design effective knowledge transfer in organisations, such as shared services centres (SSCs). The main objectives of this research were to identify knowledge transfer tools used in SSC companies and check the possibility of using the Knowledge to Action (KTA) model to design effective knowledge transfer in an organisation. The analysis was based on qualitative research carried out in two SSC organisations, with the results showing that both organisations use a variety of knowledge transfer tools, such as in-house training or development programmes using new technologies, and confirmed that the KTA model can be used to design the knowledge transfer process. As the data analysis shows, the human factor plays a very important role in the transfer of knowledge - primarily the skills of people involved in the transfer of knowledge and their motivation to transfer it and share it with other employees. The obtained results can be treated as an indication for organisations in the area of knowledge management, and in particular in the field of designing effective knowledge transfer. Creating an effective knowledge management strategy allows a company to retain knowledge, and as a result contributes to strengthening its market position.

The impact of management knowledge on project duration: a comparative study

Although various studies have been done on construction delays, there are limitations in identifying the management knowledge areas that contribute significantly to construction delays and compare them between countries. With this in mind, work has been done to classify the underlying causes of construction delays in to related management knowledge areas and to calculate their impact. According to the results, schedule and planning management knowledge is one of the top cause for delay in Ethiopia, followed by cost management knowledge and scope management knowledge, respectively. In Indian construction projects, cost management knowledge, schedule and planning management knowledge, and stakeholder management knowledge play significant role in delaying construction projects, while in the UK, scope management knowledge, quality management knowledge and stakeholder management knowledge play a significant role. In addition, in the three countries mentioned above, scope management knowledge has been identified as a common factor for the delay in construction projects.

The Relationship Between Critical Success Factors, Perceived Benefits, and Usage Intention of Mobile Knowledge Management Systems in the Malaysian Semiconductor Industry

Aim/Purpose: This study examined the relationship between critical success factors (CSFs), perceived benefits, and usage intention of Mobile Knowledge Management Systems (MKMS) via an integrated Technology Acceptance Model (TAM) and Information Systems Success Model (ISSM). Background: This study investigates the CSFs (i.e., Strategic Leadership, Employee Training, System Quality, and Information Quality) that impact the usage intention of KMS in mobile contexts which have been neglected. Since users normally consider the usefulness belief in a system before usage, this study examines the role of perceived benefits as a mediator between the CSFs and usage intention. Methodology: A survey-based research approach in the Malaysian semiconductor industry was employed via an integrated model of TAM and ISSM. At a response rate of 59.52%, the findings of this study were based on 375 usable responses. The data collected was analyzed using the Partial Least Squares with SmartPLS 3.0. Contribution: This study contributes to the body of knowledge in the areas of mobile technology acceptance and knowledge management. Specifically, it helps to validate the integrated model of TAM and ISSM with the CSFs from knowledge management and information system. In addition, it provides the would-be adopters of MKMS with valuable guidelines and insights to consider before embarking on the adoption stage. Findings: The findings suggest that Employee Training and Information Quality have a positive significant relationship with Perceived MKMS Benefits. On the contrary, Strategic Leadership, System Quality, and Perceived User-friendliness showed an insignificant relationship with Perceived MKMS Benefits. Additionally, Employee Training and Information Quality have an indirect relationship with MKMS Usage Intention which is mediated by Perceived MKMS Benefits. Recommendations for Practitioners: The findings are valuable for managers, engineers, KM practitioners, KM consultants, MKMS developers, and mobile device producers to enhance MKMS usage intention. Recommendation for Researchers: Researchers would be able to conduct more inter-disciplinary studies to better understand the relevant issues concerning both fields – knowledge management and mobile computing disciplines. Additionally, the mediation effect of TAM via Perceived Usefulness (i.e., perceived MKMS benefits) on usage intention of MKMS should be further investigated with other CSFs. Future Research: Future studies could perhaps include other critical factors from both KM and IS as part of the external variables. Furthermore, Perceived Ease of Use (i.e., Perceived User-friendly) should be tested as a mediator in the future, together with Perceived Usefulness (i.e., perceived MKMS Benefits) to compare which would be a more powerful predictor of usage intention. Moreover, it may prove interesting to find out how the research framework would fit into other industries to verify the findings of this study for better accuracy and generalizability.

Problems of semantic reconstruction of the sociological narrative

A sociological narrative is a human’s storytelling in which another human is not always able to trace semantic connections in a relevant way. Such uncertainty has a detrimental effect in key cases of verbal description of social processes such as theory building, drafting laws and maintaining of document flow. Based on research in the areas of qualitative data analysis and knowledge management, the article expresses the conviction that a significant reason for the semantic uncertainty of the narrative is its construction by the author in the form of a text flow. The necessity and possibility of a natural language description of social processes in the form of a structural narrative is substantiated. Analytical coding is proposed as a tool for constructing such a narrative. In contrast to the approaches used today, analytical coding allows the researcher in a single instrumental procedure, on the one hand, to adhere to the habitual practice of verbal description of something; on the other hand, to structure their natural language wordings with the help of ontological methods of knowledge management. Specific analytical coding techniques are considered in detail within methodological cases in which a researcher finds him/herself when deciding to construct a narrative using analytical methods. Among such cases, the initial epistemological attitudes of the author of the narrative; localization of the meaning of a verbal statement by indicating the context; linking contextsensitive wordings; construction and generation of narrative semantic chains; instrumental control of narrative connectivity are mentioned. In conclusion, it is noted that the improvement of methods for constructing a structural narrative allows us reckoning on solving the problems of decomposition of verbal knowledge about social processes and on creating opportunities for interdisciplinary teamwork of specialists with different competencies

Fundamentals of Transaction Management in Enterprise Application Architectures

Transaction management is a key issue in the development of enterprise application. During the payment of purchases, when dealing with bank operations or when making hotel reservations, transactions are everywhere. Curricula recommendations mainly consider specific knowledge units for transactions in the context of information management knowledge area. Thus, from a curricular point of view, transactions are usually related to Database Management Systems (DBMS). However, in the development of enterprise applications, designers and programmers use frameworks that manage transactions from the business tier. Therefore, there is a significant gap between the concept of transaction usually presented in degree courses and the real use of transactions made during the development of enterprise applications. There are excellent books that provide detailed descriptions of the transactional management in enterprise application from the business tier, but these are detailed and complex books beyond the reach of most students and, what is worse, beyond the reach of those lecturers without a significant background both in DBMS and enterprise application architectures. This paper provides a core of knowledge distilled from these books, as well as some examples of transactional architectures used in the grade software engineering courses taught by the author. The main goal is to describe in detail a knowledge unit focused on what I have called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">service transactions</i> that helps to fill the gap between the learning outcomes provided in university courses and the use of transactions made in enterprise application development.

The role of implementing BIM applications in enhancing project management knowledge areas in Egypt

Egypt's construction industry suffers from poor management, which causes waste of time, cost, and material. Many techniques and tools have been developed to improve the project management process and deal with challenges to meet stakeholders' expectations. In Egypt, BIM technology would be efficient in managing projects at any stage during the project lifecycle if the construction processes have been linked to BIM concepts. The aims of this study are: to explore the actual status of applying project management knowledge areas in the construction industry sector in Egypt, to investigate the real impact of using BIM technology as a tool in enhancing the application of project management knowledge areas, and to explore the real benefits have been achieved from implementing BIM applications in project management. To achieve the research objectives, the researcher used the descriptive, analytical, and quantitative approach to reach conclusions. This study was applied in Egypt and was limited to those who have experience in using BIM applications in project management, whether preparing drawings, details, estimating quantities, cost management, managing, extracting the schedules etc. The research sample consisted of (1 0 6) respondents. It was concluded that Implementing BIM applications in project management could ultimately enhance the project management process and encompass all areas of management unevenly. Many benefits are defined, such as Centralized data management and information flow, improving cost control, maintaining the construction schedule, descriptive information (Object, and it is information), and Dealing with stakeholders with different backgrounds.

A maturity model for assessing sustainable project management knowledge areas: A case study within a logistics firm

Currently, the use of maturity models is widespread for evaluating the success of project management (PM) processes. Project management maturity models (PMMM) are valuable methodologies to improve the project management processes. In this context, this present paper seeks an answer to these questions: Which maturity levels are aimed for an organization to make the sustainable PM sound? Which propositions are made based on the obtained maturity levels? This paper aims to propose a PMMM by analysing PM knowledge areas. In response to this objective, nine dimensions and twenty seven maturity items are handled using of PM Solutions’ PMMM. In order to evaluate the maturity levels, Weighted Maturity Score Calculation Model (WMSC) approach based on survey questionnaires of two experts is used first for the PM knowledge areas. Weighted average score of all maturity items is obtained using Likert-scale and criteria weights are first calculated using Hesitant Fuzzy Analytical Hierarchy Process (HF-AHP). Practicality of these approaches is illustrated through a real data in a logistics organization. As a result, computational results indicate that risk management dimension with the level 1,4 has the lowest rating of all nine dimensions. The high maturity level 3,5 is observed in the quality management, as the maturity items in this dimension such as Quality Plan Preparation and Quality Plan Employment can have a favourable impact on the PM maturity. The findings reveal the effectiveness of the proposed method, which ensures practical and theoretical insights for organizations to determine their current and expected sustainable project maturity levels.

Intellectual Structure of Knowledge Management: A Bibliometric Analysis of the Journal of Information and Knowledge Management

The Journal of Information and Knowledge Management (JIKM) published its first issue in 2002 and celebrated its 19th birthday in 2020. This study aims to assess JIKM performance over its lifetime between 2002 and 2020 by extracting data from the Scopus database and using a combined approach of bibliometric and content analysis. More specifically, we evaluate JIKM’s productivity and stature, discuss its performance compared to other journals, and identify key contributing (authors, institutions, and countries), citation pattern, and conceptual structure. The results highlight JIKM’s growing presence, which is reflected in the dual rise of publication activity and accumulated citation. JIKM becomes one of the preeminent journals in the area of knowledge management, with a broad range of scientific actors’ contributions (authors, institutions and countries) from all over the world. Furthermore, using a bibliographic coupling, keywords’ analysis, and co-authorship analysis, we analyse JIKM’s content and identify the most frequent themes discussed. The analysis reveals that JIKM has expanded its scope from knowledge management to a new array of emerging technologies’ topics such as artificial intelligence and data mining. Graphical visualization of similarities (VOSviewer and Rstudio) shows that the major themes published are clustered into four groups, mainly (i) sustainable knowledge, (ii) emerging technologies, (iii) information management, and (iv) organization culture and knowledge sharing.

Risk assessment in Iranian oil and gas construction industry: a process approach

PurposeSuccessful risk management is influential in different phases of construction projects. It can play a critical role in reducing the possibility of claims as well as related disputes. The risk management knowledge area in large capital projects such as oil and gas is considered a questionable problem in the construction industry. The present study makes an effort to identify the importance of process groups in improving risk management performance.Design/methodology/approachThis study is selected and ranked 36 factors leading to the claim in Iran's oil and gas industry through the Delphi method and a questionnaire. Factors categorized into a risk breakdown structure (RBS) include eight groups. Factors are linked to one of the process groups by a Delphi method. Finally, the relationship between RBS and the five process groups is analyzed using partial least squares structural equation modeling (PLS-SEM).FindingsFindings showed that the planning process group had more confirmed factors than others. Most of the supported communications belonged to the contractor and the owner parties. Also, the cause of delay in the implementation phase due to the contractor performance had a higher relative importance index.Originality/valueThis article, from a project life-cycle perspective, considers the new structure between the risks leading to claims and the key parties to the project. It can be a good criterion for identifying risks and a timelier response to them before the risks turn into disagreements.

Assessment study on the Challenges of Project Management Knowledge Areas

This study was conducted to identify the most challenging PMKAs in the external funded agricultural research projects of EIAR. The qualitative research approach with descriptive research designs was implemented. Both primary and secondary data collection methods were used. Respondents were purposively identified. Based on this technique 124 respondents were identified. Respondents were working in 30 projects. Interviewees were also organized for 30 key informants from each project. The collected data were analysed through SPSS. The Cronbach’s Alpha test result of the questionnaire is 0.85. The result shows that, challenges related with organizational environment, project risk management, project time management, project cost management, and project quality management are the most challenging knowledge areas whereas the other PMKAs are moderately challenging.

An Effective Project Management Simulation for Distance Education

The challenge in distance education for project management courses is how to maintain quality when team projects, traditional lectures and in-class exercises normally conducted in face-to-face courses are not practical. This research explores the desirability and effectiveness of computer-based project management simulation as a teaching tool for industrial technology students in a distance education (DE) degree program. The purpose of using the simulation was to enhance learning outcomes related to project management processes and techniques taught in the course. A survey of approximately 100 students over four semesters was used to determine how online students responded to the use of simulation to teach specific project management concepts. Additionally, the research sought to determine which project management concepts were most enhanced through this active learning activity. The results established that the SimProject® computer-based simulation improved project management education for distance students and added value to the course by reinforcing text-based content. The data established a positive relationship between the simulation and specific project management knowledge areas for scope, time, cost, risk, human resource, communication, stakeholder, and quality management. The simulation provided students with the challenge to execute a virtual project, allowing up to three separate attempts, each with the same defined goals for time, cost, and quality. Dynamic, simulation- induced, life-like obstacles based on student choices presented unique management decisions for each trial. A successful outcome required students to meet time, cost, and quality goals within 10 percent of target. Student motivation for this pedagogy was apparent as most used all three attempts and provided positive survey feedback.

Challenges of Post-Disaster Reconstruction Projects: An Empirical Investigation According to Project Management Knowledge Areas

Successful management of post-disaster reconstruction projects (PDRPs) can ensure the efficient use of resources and lead to improved outcomes. The literature on PDRP management is yet in its embryonic stage and systematic research efforts are necessary to address the topic. Paper compares the challenges faced in conventional projects to those in PDRPs according to project management knowledge areas, through an analytical evaluation of the interdependencies between different areas of expertise. A descriptive-exploratory research was designed and qualitative data from interviews with 11 managers with PDRP experience from different countries were analysed. Cause-and-effect relationships between the factors leading to ‘frequent changes in scope,’ ‘time overruns,’ ‘cost overruns,’ and ‘low quality’ were identified. Outputs suggest that managing stakeholders, risks and communications appears critical to cope with an evolving scope, while procurement management has a significant impact on project outcomes due to resource scarcity.