3 research outputs found

    Impact of Knowledge Leadership on Performance; Moderating Role of Customer Knowledge Management

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    Knowledge is the source of light of hope in the humans as well as in the organizations. Because only knowledge can create the difference between skilled, experienced and non-skilled and non-experienced persons. Organization have realize this fact and they are also interested to create a difference between other organizations on the basis of knowledge. Organizations can sustain in them in this competitive world only if they have knowledge leadership which can manage the knowledge of their customer and enhance organizational performance. In this study knowledge leadership is taken as independent variable, customer knowledge management is taken as moderator and performance is taken as dependent variable. This is empirical study based on construction industry in Pakistan. Data is collected through adopted questionnaire. And the sample size is taken 200 employees by random sampling technique. After data collection different statistical tests are used for analysis by using SPSS 21. Keywords: Knowledge leadership, Customer Knowledge Management, Project Performance and Organizational Performanc

    A Conceptual Framework to Discover IT Project Risks in Developing Economies: An Application to Cambodia and Uganda Contexts

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    Background: The information technology (IT) project environment in developing economies is complex and dynamic due to their unique social, technological, cultural, and political contexts. However, the unique risk factors involved in IT projects in developing economies have seldom been discussed in the literature. This study proposes a conceptual framework for identifying risks in IT projects by considering the unique characteristics of project management in developing economies. Method: 17 project cases were examined via a series of expert interviews in Cambodia and Uganda. The interview results were coded into a total of 257 risk incidents, which were used to validate the proposed framework. Particularly, the risk incidents of each economy were matched with 16 risk categories under the proposed framework. The matched results were conceptualized into unique risk factors of each economy. Results: Our results reveal that the most critical risks in both economies involve the lack of structured and standardized project management (PM) processes, and misunderstanding and poor decision-making due to the lack of project experience and technical knowledge in local stakeholders. In addition to these shared risk factors, the two economies show distinct risk granularities. Particularly, IT projects in Cambodia are more vulnerable to cultural uniqueness while IT projects in Uganda suffer more with complex stakeholder structures. Conclusions: The proposed framework serves as guidance to identify IT project risks in developing economies. Furthermore, the identified risk factors using the framework proposed by this study help project managers or stakeholders recognize and mitigate the unique IT project risk factors in the two developing economies. Available at: https://aisel.aisnet.org/pajais/vol12/iss3/1

    Effective Risk Management Strategies for Information Technology Project Managers

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    A high rate of information technology (IT) projects in the telecommunication industry fail because of ineffective risk management strategies. Effective risk management strategies are important to IT project managers for the improvement of project success rates. Grounded in the actor-network theory, the purpose of this qualitative multiple case study was to explore risk management strategies used by IT project managers in the telecommunication industry for improving project success rates. Data were collected using semistructured interviews and reviews of companies’ documentation on project risk management. The participants were 5 IT project managers in Dakar, Senegal, and had more than 8 years of IT project management experience with a risk management success rate of 70%. Data were analyzed using thematic analysis through 4 steps including data transcription, data organization, data coding, and data validation. The data analysis revealed 4 major themes: risk management culture, risk management framework, risk communication, and risk lessons learned. The key recommendation is for IT project managers to establish strategies to enhance risk-based decisions and use appropriate tools to communicate project risks to stakeholders. The implications for positive social change include the potential to use new and innovative telecommunication broadband networks to enhance the quality of life for individuals who work in the field of education, health, and agriculture
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