Authors :
Kyalo Muriithi Wanjiru Bilha; Emmanuel Awuor
Volume/Issue :
Volume 9 - 2024, Issue 10 - October
Google Scholar :
https://tinyurl.com/mr4bbj2y
Scribd :
https://tinyurl.com/udfht5uu
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24OCT1354
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The goal was to assess the effects of supplier
management and information management on the
KRCS’s service delivery. Goal-Setting Theory is the main
theory, supported by resource-based view and
institutional theory. The study targeted a population of
300 individuals using a descriptive research approach. A
total of 171 individuals were chosen for the sample size
using stratified random sampling. Data was acquired by
means of surveys. Basic statistics were used to assess the
quantitative data, and SPSS version 27 was used for data
analysis. Tables were used to display the data. Inferential
statistics were used to illustrate the link between the
variables. Throughout the course of the study, the
research investigation was guided by a few ethical
criteria. The R2 values for the relationship between
supplier management and service delivery were 0.642,
indicating a positive association, and 0.499, suggesting
that changes in supplier management may account for
49.9% of the variation in service delivery. fundamental
correlation between service delivery and information
management (R = 0.595), with an R2 value of 0.431, while
the DV was service delivery. To ensure successful logistics
management and service delivery, KRCS should improve
supplier management and service delivery, which is
necessary, and that they can balance organizational goals
and priorities with the supplier's perspective on
challenges. This will improve the efficiency and
effectiveness of the processes that the KRCS and
communities in need of support use. KRCS service
delivery can be increased by using auto- technologies.
Independent variable technologies are welcomed since
they will make product marking more accurate and
efficient, which will improve operations.
Keywords :
Supplier Management, Information Management, Service Delivery And Logistic Management.
References :
- Bagherpasandi, M., Salehi, M., Hajiha, Z., & Hejazi, R. (2024). A model of increasing performance in sustainable logistic management", . The TQM Journal, 36(1).
- Berhe, H., Gebremichael, H., & Beyene, K. (2023). Development, validation and verification of innovative integrated Kaizen philosophy (CI) framework and its implementation procedure for enhancing manufacturing industries sustainable competitivenes. International Journal of Quality & Reliability Management, 40 (10), 2463-2518.
- Bhattacharyya, K., Guiffrida, A., Soto-Ferrari, M., & Schikora, P. (2023). A multinomial modeling approach to assess supplier delivery performance for buyer-supplier alignment. Journal of Global Operations and Strategic Sourcing 17(3), 259-278.
- Bickman, L., & Rog, D. (2018). Applied research design: A practical approach. Thousand Oaks: Sage Publishers.
- Bjorck, F. (2004). Institutional Theory : A new perspective for research . Hawaii: HICSS.
- Bordens, K., & Abbott, B. B. (2017). Research Design and Methods: A Process Approach 10th Edition. London : McGraw-Hill Education.
- Chikazhe, L., Siziba, S., B. T., Sifile, O., & Nyagadza, B. (2023). Fleet management system, perceived service quality and the public health sector performance in Zimbabwe. International Journal of Public Sector Management, 36 (2), 113-.
- Cooper, D., & Schindle, P. (2018). Business Research Methods. New Dehli: McGraw Hill.
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 5th edition. . Thousand Oaks, CA: Sage.
- Dunaetz, D. A. (2020). Research Methods and Survey Applications: Outlines and Activities. New York: Martel Press.
- Eriksson, V., Hulthén, K., & Pedersen, A.-C. (2021). Improving transport performance in supply networks: effects of (non)overlapping network horizons. Journal of Business & Industrial Marketing,, 36 (10), 1767-1779.
- Fahy, J. (2009). The resource based view of the firm : some stumbling blocks on the road sustainable competitive advantage . Journal of industrial trading vol. 24 , 94-104.
- Gammelgaard, B., & Nowicka, K. (2024). Next generation supply chain management: the impact of cloud computing. Journal of Enterprise Information Management, 37 (4), 1140-1160.
- Ganbold, O., Matsui, Y., & Rotaru, K. (2021). Effect of information technology-enabled supply chain integration on firm's operational performance. Journal of Enterprise Information Management 34(3), 948-989.
- Grigoli, G., Silva Júnior, M., & Pedra, D. (2024). Challenges and perspectives for humanitarian logistics: a comparative study between the Democratic Republic of Congo, the Central African Republic and the Republic of South Sudan. Journal of Humanitarian Logistics and Supply Chain Management, 14 (4), 384-398.
- Hamed, T. (2016). Sampling Methods in Research Methodology. Taherdoost.
- Hitt, M. A., Xu, K., & Carnes, C. M. (2016). Resource based theory in operations management research. Journal of Operations Management, 41, 77-94.
- Jääskeläinen, A., & Heikkilä, J. (2019). Purchasing and supply management practices in customer value creation. Supply Chain Management, 24 (3), 317-333.
- Kim, G.-S., Lee, S.-W., Kim, C.-S., & Seo, Y.-J. (2020). Evaluation of Logistics Service for Multimodal Transport via the Trans-Siberian Railway: A Perspective of Shippers in South Korea. Journal of International Logistics and Trade, 18 (4), 168-180.
- Kisinga, D., Mchopa, A., & Mwagike, L. (2024). Supplier relationship management and business performance of small-scale grapes processing firms in Dodoma, Tanzania: the moderating role of logistics capabilities. IIMT Journal of Management, 1 (1), 24-46.
- Kumar, D., & Prashar, A. (2024). Linking resource bundling and logistics capability with performance: study on 3PL providers in India. International Journal of Productivity and Performance Management, 73 (1), 270-302.
- Mangala, F. O., & Moronge, M. (2019). Influence of logistics management practices on performance of oil marketing companies in Nairobi County, Kenya. . The Strategic Journal of Business & Change Management 6 (1),, 440 – 457.
- Meena, P., Katiyar, R., & Kumar, G. (2023). Supplier performance and selection from sustainable supply chain performance perspective. International Journal of Productivity and Performance Management,72 (8,), 2420-2445.
- Peters, G. B. (1999). Institutional Theory in Political Science. London: Continuum.
- Saunders, M., Lewis, P., & Thornhill, A. (2018). Research Methods for Business Students. London: Financial Times.
- Suddbay, S. (2010). Critism to institutional theory : the effects of institutionalization. New York : Wiley .
- Yu, Y., & Ma, J. (2024). Identifying business information through deep learning: analyzing the tender documents of an Internet-based logistics bidding platform. Data Technologies and Applications, 58 (1), 42-61.
- Zucker, L. (2007). Institutional theories of organizations. Annual Review of Socilogy vol. 13 issue 2, 216-224
The goal was to assess the effects of supplier
management and information management on the
KRCS’s service delivery. Goal-Setting Theory is the main
theory, supported by resource-based view and
institutional theory. The study targeted a population of
300 individuals using a descriptive research approach. A
total of 171 individuals were chosen for the sample size
using stratified random sampling. Data was acquired by
means of surveys. Basic statistics were used to assess the
quantitative data, and SPSS version 27 was used for data
analysis. Tables were used to display the data. Inferential
statistics were used to illustrate the link between the
variables. Throughout the course of the study, the
research investigation was guided by a few ethical
criteria. The R2 values for the relationship between
supplier management and service delivery were 0.642,
indicating a positive association, and 0.499, suggesting
that changes in supplier management may account for
49.9% of the variation in service delivery. fundamental
correlation between service delivery and information
management (R = 0.595), with an R2 value of 0.431, while
the DV was service delivery. To ensure successful logistics
management and service delivery, KRCS should improve
supplier management and service delivery, which is
necessary, and that they can balance organizational goals
and priorities with the supplier's perspective on
challenges. This will improve the efficiency and
effectiveness of the processes that the KRCS and
communities in need of support use. KRCS service
delivery can be increased by using auto- technologies.
Independent variable technologies are welcomed since
they will make product marking more accurate and
efficient, which will improve operations.
Keywords :
Supplier Management, Information Management, Service Delivery And Logistic Management.