Mitigating Influence of Institutional Differences on International Project Performance by Knowledge Management

2021 ◽  
Author(s):  
Huicong Zhang ◽  
Yanling Kang ◽  
Wenxin Shen ◽  
Wenzhe Tang
2018 ◽  
Vol 22 (2) ◽  
pp. 453-477 ◽  
Author(s):  
Imran Ali ◽  
Ata Ul Musawir ◽  
Murad Ali

Purpose This study aims to propose an integrated model to examine the impact of knowledge governance, knowledge sharing and absorptive capacity (ACAP) on project performance in the context of project-based organizations (PBOs). This study also examines the moderating role of social processes on the relationships among these variables. Design/methodology/approach To test the proposed model, cross-sectional data were collected regarding projects from 133 PBOs in Pakistan’s information technology/software industry. The data were analyzed using the partial least squares – structural equation modeling (PLS-SEM) method and PRCOESS tool. Finally, this study also uses causal asymmetry analysis to check asymmetric relationship in the key constructs. Findings The results generally support the proposed model. Knowledge governance and knowledge sharing are important antecedents for improving the ACAP of the project, which in turn significantly improves project performance. Additionally, social processes positively moderate the relationship between knowledge sharing and ACAP, as well as between ACAP and project performance. Research limitations/implications The findings suggest that PBOs should invest in developing a knowledge governance system that guides and stimulates knowledge sharing within and between projects. This would boost the ACAP of projects and lead to superior project performance. Originality/value This study addresses the important issue of knowledge management in IT/software projects. It proposes a unique model that integrates the key constructs of knowledge management and describes their effect on project performance.


Kybernetes ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 1778-1800 ◽  
Author(s):  
Vipula Sisirakumara Gunasekera ◽  
Siong-Choy Chong

PurposeThis paper aims to review the knowledge management (KM) processes, knowledge conversion modes and critical success factors (CSFs) and contextualise them to the construction setting to guide effective KM implementation.Design/methodology/approachThis paper is conceptual in nature. It begins with a review of issues faced by construction organisations, which led them to consider implementing KM. This is followed by a comprehensive review of KM processes, knowledge conversion modes, KM CSFs and their application to the construction industry.FindingsBased on the socialisation, externalisation, combination and internalisation (SECI) model, the knowledge conversion modes are discussed, linking them to the KM processes of knowledge creation, sharing, storage and application. The KM CSFs identified from construction literature suggest that they can be categorised into two groups, namely, factors within organisational control (managerial influence, technological influence and resource influence) and factors beyond organisational control (social influence, political influence, environmental influence, economic influence, industry influence and construction technology influence). The resulting review is discussed in terms of how construction organisations can implement KM effectively to achieve the desired project performance outcomes in terms of time, cost and quality.Research limitations/implicationsAlthough this paper has made some theoretical contributions, a quantitative analysis will further reinforce its value both in theory and practice, particularly in terms of applying the KM processes and CSFs to different organisational, industry and country settings. A quantitative research is being carried out in the major construction sector in Sri Lanka to establish the relationships between the KM processes, knowledge conversion modes and KM CSFs with project performance outcomes, which will be reported in a subsequent publication.Practical implicationsAs the construction industry uses a considerable number of knowledge workers, implementing KM for project planning and execution is the key to sustaining the growth of construction organisations and industry, particularly when KM implementation is linked to project performance outcomes. Practical implications are provided in terms of what successful KM implementation entails.Social implicationsEffective KM implementation can serve as a conduit for construction organisations to build capacity and develop the ability to react quickly to social challenges brought about by different stakeholders, even before the project commences, so that the project performance outcomes will not be affected. Another social implication is the role played by project team members, in which efforts have to be put in place to facilitate the use of KM processes, so that teams can align project activities to the general good of their organisations.Originality/valueA comprehensive KM framework that guides the construction industry on KM implementation is long overdue. This research represents the first of such attempts to view KM from a wider perspective, both in terms of internal and external influences affecting construction organisations. Once the conceptual framework developed is validated, it is expected to bring enormous benefits to different stakeholders.


2016 ◽  
Vol 6 (6) ◽  
pp. 1221-1226
Author(s):  
M. Hemmati ◽  
H. Hosseini

The purpose of this study is to examine the effect of IT application on project performance focusing on mediating role of organizational innovation, knowledge management and organizational capabilities using SEM. For this purpose, 194 managers, supervisors and experts of software developer companies participated in this study. Participants were asked to complete a questionnaire on each subject. SEM was used to analyze data using the LISREL software. Results are thoroughly discussed in this paper and the findings support the role of IT application, organizational innovation, knowledge management and organizational capabilities on project performance and project benefits.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Arslan Haider ◽  
Umar Nawaz Kayani

Purpose The purpose of this study is to examine the relationship between the customer knowledge management capability (CKMC) on project performance through strategic agility in the context project based software companies of Pakistan. The aim of the paper is to find out whether and how is customer knowledge beneficial for project performance and recognized as the important source of advancement of the knowledge management (KM) theory and the essential subject in practical ground. Design/methodology/approach In this study, non-probability, simple random sampling method was used to collect the data because it excludes bias from the data collection process. Although, the population of this research includes 307 employees working in different 30 public and private projects based software firms, operating in twin cities Rawalpindi, Islamabad. The respondents are project supervisors, team members, customers working on these different projects. Because of time limitation data has been collected within four months (i.e. November 2018 to February 2019) for this study, it is not time-lagged study and the data were collected at one time, so the design is cross-sectional in nature. The analysis was established using partial least squares-structural equation modeling (Smart PLS-SEM v.3.2.8) software to test hypotheses. Findings The results revealed the structural equation modeling that the components creating, transferring, integrate and influence ensure the most significant job in clarifying the customer knowledge and enhancing the capability to understand the customer needs and want which lead to decrease project delay, over consumption of the budget and directly lead to increase the project performance. The analyzed results also successfully justified the gap of this research study by showing the significant relationship between CKMC and project performance, also the indirect effect of CKMC through strategic agility on project performance more than its direct effect. So, the strategic agility plays positive and significant mediating role between CKMC and project performance, therefore the all sub-hypothesis and primary hypothesis were accepted. Originality/value This study sets the context with a brief summary of the key characteristics of the CKMC to improve the new product performance, enhance product/service quality, also reduce costs and enhance the competitiveness of organizations. Organization ought to acknowledge how to use KM to generate their revenues and achieve their goals. However, available techniques and methodology to measure the sufficiency are dissatisfying and consistent need for assessments and evaluations of this issue are felt.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin K. Mangla ◽  
Rakesh Raut ◽  
Vaibhav S. Narwane ◽  
Zuopeng (Justin) Zhang ◽  
Pragati priyadarshinee

PurposeThis study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge management focus on sustainability, green purchasing, environmental technologies, social responsibility, project operational capabilities, project complexity, collaboration and explorative learning, and project success.Design/methodology/approachA sample of 321 responses from 106 Indian manufacturing small and medium-scaled enterprises (SMEs) was collected. Data were analyzed using empirical analysis through structural equation modeling.FindingsThe result shows that project knowledge management, green purchasing and project operational capabilities require the mediating support of big data analytics. The adoption of big data analytics has a positive influence on project performance in the manufacturing sector.Practical implicationsThis study is useful to SMEs managers, practitioners and government policymakers to develop an understanding of big data analytics, eliminate challenges in the adoption of big data, and formulate strategies to handle projects efficiently in SMEs in the context of Indian manufacturing.Originality/valueFor the first time, big data for manufacturing firms handing innovative projects was discussed in the Indian SME context.


The construction industry is a competitive high-risk industry with an unprecedented uncertainties in technology, budget, and development processes. It has become more dynamic in nature and the execution of projects have become more complex and difficult to manage. The need then evolved to develop a framework for project performance. This study investigates the factors affecting the project success and performance using a knowledge and resource-based approach. Data was collected from project managers, civil engineers, site managers, and architects. A total of 221 responses were collected. The data analysis was conducted using SPSS and Smart PLS. This results from this investigation revealed that knowledge transfer does not mediate the effect of strategic factors or employee factors on the project performance of Iraqi public construction projects. This finding indicated that the role of knowledge practices in Iraqi public project is still not matured. Top management are advised to effectively implement the knowledge management practices in public projects. Implementing knowledge management will avoid the organization the cost of repeating the same mistakes. Thus, it was concluded in this study that knowledge transfer is still in its infancy and currently it has no mediating effect between the variables of this study.


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