CLOUD COMPUTING PRACTICES AND PERFORMANCE OF REAL ESTATE PROJECTS IN NAIROBI COUNTY, KENYA

Jeremiah Wanyonyi Musamali, Yusuf Muchelule

Abstract


Technology is impacting everything all over the world both in developed and underdeveloped nations mostly in project management which prompted me to discuss cloud computing practices and the performance of real estate projects. Cloud computing practices influence the event of a rustic and have immeasurable costs to organizations. The overall objectives were to determine the cloud computing practices and performance of real estate projects in Nairobi County. The exact targets were; To examine the influence of Information management expertise on the cloud computing practices and performance of real estate projects in Nairobi Kenya, to determine the influence of service level agreement on cloud computing practices and performance of real estate projects in Nairobi Kenya, to examine the influence of project funding on cloud computing practices on the performance of real estate projects in Nairobi Kenya and to examine project integration influences cloud computing practices on performance of real estate projects in Nairobi Kenya. The extent of the review was Cloud Computing practices and the performance of real estate projects in Nairobi County. Significant writing was audited upheld the variable and related speculations summed up diagrammatically utilizing a calculated structure to widen the perspectives on the review. The research design deployed was a descriptive research design. The study used Census sampling technique which contained 200 respondents from real estate developers and real estate project managers. A closed and open-ended questionnaire was used to collect primary data. The questionnaires pilot test for reliability and validity. Both quantitative and qualitative approaches were used for data analysis. Quantitative data was summarized and analysed using descriptive statistics with the help of the statistical package of social sciences (SPSS) version 28 and findings presented using tables. Qualitative data adopted content analysis while inferential statistics was applied to identify a mathematical relationship between variables using multiple regression analysis which was used to establish the degree of statistical relationship between the study of variables. In summary, the four independent variables Information Management expertise, Service level Agreement, Project Funding and Project Integration had a positive impact on performance. The study recommends that there should be information management expertise usage to improve performance which will enable projects success. The study recommend that future research should be carried out to focus on other categories of projects which are essential in economic development. A similar study should be carried out to assesses other factors that could influence project performance since the independent variables of this study explain only 52.8% variation in project performance meaning 47.2% variation in project performance can be explained by other factors that have not been covered in this study.

Key words; Could computing, Information expertise, service level agreement, project funding and project integration

Full Text:

PDF

References


Amadi, A. (2021). Integration in a mixed-method case study of construction phenomena: From data to theory. Engineering, Construction and Architectural Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ECAM-02-2021-0111

Amutabi, C., & Wambugu, A. (2020). Determinants of labor productivity among SMEs and large-sized private service firms in Kenya. African Development Review, 32(4), 591–604.

Armstrong, D., & Riemenschneider, C. (2011). The Influence of Demands and Resources on Emotional Exhaustion with the Information Systems Profession. ICIS 2011 Proceedings. https://aisel.aisnet.org/icis2011/proceedings/humancapital/4

Cohen, M. W., & Palmer, G. R. (2004). Project risk identification and management. AACE International Transactions, IN11.

Dan, V. (2017). Empirical and Non-Empirical Methods.

Ericsson, K. A., & Harwell, K. W. (2019). Deliberate Practice and Proposed Limits on the Effects of Practice on the Acquisition of Expert Performance: Why the Original Definition Matters and Recommendations for Future Research. Frontiers in Psychology, 10. https://www.frontiersin.org/article/10.3389/fpsyg.2019.02396

Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130. https://doi.org/10.1108/JEIM-08-2013-0065

Ginger, L. (2018). Project Integration Management. In PMP® Exam Preparation. Auerbach Publications.

Hamm-Simmons, T. L. (2019). Competencies as Contributors to Virtual Project Team Performance. Northcentral University.

Hastjarjo, K. (2015). Strategic real estate development. Journal of Entrepreneurship, Business and Economics, 3(2), 65–85.

Heldman, K. (2018). Developing Project Management Skills (pp. 33–54). https://doi.org/10.1002/9781119549109.ch2

Hughes, L., Dwivedi, Y. K., Misra, S. K., Rana, N. P., Raghavan, V., & Akella, V. (2019). Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda. International Journal of Information Management, 49, 114–129. https://doi.org/10.1016/j.ijinfomgt.2019.02.005

Kamau, G. K. (2019). EFFECT OF TECHNOLOGICAL INNOVATIONS ON PERFORMANCE OF REAL ESTATE FIRMS IN KENYA: THE CASE OF REAL ESTATE IN NAIROBI COUNTY. 83.

Karbolo, A. (2021). Factors influencing adoption of Information and Communication Technology in Real Estate firms in Kenya [PhD Thesis]. University of Nairobi.

Karpook, D., Stillebroer, D., & Jaspers, E. (2020). New demands for resilience in real estate: Resilience and adaptability after the COVID-19 pandemic. Corporate Real Estate Journal, 10(1), 106–116.

Kasemsap, K. (2018). The Roles of Information Technology and Knowledge Management in Project Management Metrics [Chapter]. Global Business Expansion: Concepts, Methodologies, Tools, and Applications; IGI Global. https://doi.org/10.4018/978-1-5225-5481-3.ch055

Kathambi, B. E., & Obiero, L. (2021). Unseen barrier of water risks to sustainable consumption and production in micro, small and medium enterprises (MSMES) in Kenya. East African Journal of Science, Technology and Innovation, 2. https://eajsti.org

Kavishe, N., Jefferson, I., & Chileshe, N. (2018). An analysis of the delivery challenges influencing public-private partnership in housing projects: The case of Tanzania. Engineering, Construction and Architectural Management, 25(2), 202–240. https://doi.org/10.1108/ECAM-12-2016-0261

Killen, C. P., Jugdev, K., Drouin, N., & Petit, Y. (2012). Advancing project and portfolio management research: Applying strategic management theories. International Journal of Project Management, 30(5), 525–538. https://doi.org/10.1016/j.ijproman.2011.12.004

Kim, H. A. H. H. A., & Barua, S. (2018). Service Level Agreement (SLA) for Cloud Computing Compilation with Common and New Formats. International Journal of Scientific Research and Management, 6(04), 2018–01. https://doi.org/10.18535/ijsrm

Kituku, K. M. (2012). Adoption of cloud computing in Kenya by firms listed in the Nairobi Stock Exchange.

Kivunja, C. (2018). Distinguishing between theory, theoretical framework, and conceptual framework: A systematic review of lessons from the field. International Journal of Higher Education, 7(6), 44–53.

Kumar, V., M M, M., Rahman, Z., & Rajan, T. (2020). CLOUD COMPUTING COMPONENTS, SERVICES, TOOLS AND ITS ROADMAP TO ORGANIZATION.

Lepori, B., Dinges, M., van der Besselaar, P., Mampuis, R., Potì, B., Reale, E., Slipersæter, S., Theves, J., & van der Meulen, B. (2006). Convergence versus national specificities in research policies. An empirical study on public project funding. Conference Indicators on Science, Technology and Innovation. Historyand NewPerspectives. Lugano.

Maeser III, R. K. (2018). A Model-Based Framework for Analyzing Cloud Service Provider Trustworthiness and Predicting Cloud Service Level Agreement Performance [PhD Thesis]. The George Washington University.

Maina, C. N. (2017). Effect Of Digital Marketing Tools On Performance Of Businesses In Real Estate Sector In Nairobi County [Thesis, KCA University]. http://41.89.49.13:8080/xmlui/handle/123456789/1241

Makena, J. N. (2013). Factors that affect cloud computing adoption by small and medium enterprises in Kenya. International Journal of Computer Applications Technology and Research, 2(5), 517–521.

Mallikharjuna, V., Ivatury, V. M. K., & Lemma, T. (2020). Critical Variables Influencing Project Performance in Real Estate Building Construction Sectors in Ethiopia, East Africa.

Mat Nawi, F. A., Abdul Malek A.Tambi, Muhammad Faizal Samat, & Wan Masnieza Wan Mustapha. (2020). A REVIEW ON THE INTERNAL CONSISTENCY OF A SCALE: THE EMPIRICAL EXAMPLE OF THE INFLUENCE OF HUMAN CAPITAL INVESTMENT ON MALCOM BALDRIDGE QUALITY PRINCIPLES IN TVET INSTITUTIONS. Asian People Journal (APJ), 3(1), 19–29. https://doi.org/10.37231/apj.2020.3.1.121

Mbugua, P., & Oduor, C. (2018). Evaluation of the Effects of SaaS on SMEs in Nairobi County, Kenya. Journal of Information Systems Engineering & Management, 3. https://doi.org/10.20897/jisem/2656

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing.

Mohammed, J., & Bello, M. (2021). Potentials of information and communication technology in real estate management and valuation practice.

Muczyński, A. (2015). An Integrated Approach to Real Estate (Porfolio) Management. Real Estate Management and Valuation, 23(2), 5–16.

Mugenda, A. G., & Mugenda, A. G. (2012). Research methods dictionary. Nairobi, Kenya: Applied Research & Training Services.

Mugenda, O., & Mugenda, A. (2003). Research methods: Quantitative and qualitative approaches. 2nd. Rev. Ed. Nairobi.

Mugenda, O., & Mugenda, A. (2019). Research Methods; Qualitative and Quantitative and mixed methods approaches. Nairobi.

Munene, M. W., & Achuora, J. (2018). Influence of Procurement Best Practices in Optimizing Procurement Performance among Parastatals in Kenya. Journal of Procurement & Supply Chain, 2(1), 40–64.

Muthui Kasomo, R. (2018). Investigation and Comparison of Emulsified Diesel Oil and Flomin C 9202 as a Collector in the Beneficiation of Ultra-Fine Coal by Agglo-Flotation. International Journal of Oil, Gas and Coal Engineering, 6(4), 74. https://doi.org/10.11648/j.ogce.20180604.15

Muumbi, C. M., & Chege, P. W. (2021). Effect of Technical Expertise Engagement in Monitoring and Evaluation on Performance of Residential Construction Projects in Kajiado County. International Journal of Business Management, Entrepreneurship and Innovation, 3(3), 72–81. https://doi.org/10.35942/jbmed.v3i3.217

Muute, N. C., & James, R. (2019). Project planning practices and performance of construction projects in Nairobi City County, Kenya. Unpublished Masters Dissertation), Kenyatta University, Kenya.

Mwaniki, P., & Ondiek, C. (2018). Evaluation of the effects of SaaS on SMEs in Nairobi County, Kenya.

Nappi-Choulet, I., & Ribeiro, G. de C. (2018). New Technology and New Data in Real Estate. In ERES (eres2018_86; ERES). European Real Estate Society (ERES). https://ideas.repec.org/p/arz/wpaper/eres2018_86.html

Nguti, V. N., & Mose, T. (2021). The role of E-recruitment and selection functions on the organizational outcomes in HELB, Kenya. International Academic Journal of Human Resource and Business Administration, 3(9), 554–565.

Nguyen, M.-H. (2021). What are the fundamental meanings of money? https://doi.org/10.31235/osf.io/mdzn6

Omwenga, B., Waema, T. M., & Omwansa, T. K. (2014). Cloud Computing in Kenya A 2013 Baseline Survey.

Rani, A., Singh, R., Taneja, S., Prasad, A. B., & Dhiman, S. (2021). A Review on Key Performance Indicators for Measuring Real Estate Project Success. International Journal of Sustainable Development and Planning, 16(4), 791–800. https://doi.org/10.18280/ijsdp.160420

Sankaran, S., Haslett, T., & Sheffield, J. (2010). Systems thinking approaches to address complex issues in project management. PMI® Global Congress.

Shenoy, M. A. (2019). Issues and benefits of cloud adoption and its current influence on commercial real estate sector of India [Dublin Business School]. https://esource.dbs.ie/handle/10788/3822

Shrotryia, V. K., & Dhanda, U. (2019). Content validity of assessment instrument for employee engagement. Sage Open, 9(1), 2158244018821751.

Sunindijo, R. (2015). Project manager skills for improving project performance. International Journal of Business Performance Management, 16, 67–83. https://doi.org/10.1504/IJBPM.2015.066041

Waga, D., Makori, E., & Rabah, K. (2014). Utilization of Cloud Computing in Education and Research to the Attainment of Millennium Development Goals and Vision 2030 in Kenya. Universal Journal of Educational Research, 2(2), 193–199. https://eric.ed.gov/?id=EJ1053854

Whyte, J., & Davies, A. (2021). Reframing Systems Integration: A Process Perspective on Projects. Project Management Journal, 52(3), 237–249. https://doi.org/10.1177/8756972821992246

Winnie, K. N., & Yusuf, D. M. (2021). PROJECT PLANNING PRACTICES AND SUCCESSFUL IMPLEMENTATION OF SLUM SETTLEMENTS UPGRADING PROJECTS IN NAIROBI CITY COUNTY, KENYA. 5(2), 18.

Youssef, A. E. (2012). Exploring cloud computing services and applications. Journal of Emerging Trends in Computing and Information Sciences, 3(6), 838–847.

Ziefle, M., & Schaar, A. K. (2010). Technical Expertise and Its Influence on the Acceptance of Future Medical Technologies: What Is Influencing What to Which Extent? In G. Leitner, M. Hitz, & A. Holzinger (Eds.), HCI in Work and Learning, Life and Leisure (pp. 513–529). Springer. https://doi.org/10.1007/978-3-642-16607-5_40


Refbacks

  • There are currently no refbacks.