Determinants of Software as a Service adoption by Nairobi Securities Exchange listed companies / Moses Omondi Aluodo

By: Contributor(s): Publication details: Nairobi: Strathmore University; 2022.Description: xiii, 89p. illSubject(s): LOC classification:
  • QA76.76.A486 2022
Online resources: Summary: Software as a Services (SaaS) is a revolutionary licensing and distribution model used to deliver software applications over the Internet. It is a compelling value proposition for customers who are keen to avoid tying high capital expenditure that characterizes implementation of on-premise business applications, as it presents customers with the option of pay-as-you-go operating expenditure model as opposed to large upfront capital expenditure. Despite the economics and other adoption facilitators of SaaS, the uptake continues to face an almost similar number of adoption inhibitors. The study sought to investigate the relationships between SaaS Adoption Facilitators and SaaS Adoption Inhibitors on the one hand and SaaS Adoption by Nairobi Securities Exchange (NSE) listed companies on the other. It also sought to establish the SaaS Adoption Psychographic Profiles of NSE listed companies and the relationship with SaaS Adoption, that exist. Rogers’ Diffusion of Innovations (DOI) Theory and modified Technology, Organization and Environment (TOE) Framework were used as baseline theoretical frameworks to undertake the study. The study adopted a census approach given the relatively small number of NSE listed companies, to eliminate any element of chance and obtain the highest accuracy. An Internet-mediated questionnaire was administered to the IT leadership of these companies via SurveyMonkey and data obtained was analyzed using both descriptive and inferential statistics, to test significant relationships between the independent variables and the dependent variable. Using Spearman’s rank correlation coefficient (Spearman’s rho) to assess relationships between independent variables and the dependent variable, the study found that all the SaaS Adoption Facilitators had moderately positive to very strong positive relationships with SaaS Adoption, all the SaaS Adoption Inhibitors had weak negative relationships with SaaS Adoption, with the exception of Integration Challenges which had a moderately negative relationship with SaaS Adoption. The SaaS Adoption Psychographic Profiles established had a moderately positive relationship with SaaS Adoption. Of the SaaS Adoption Psychographic Profiles established, not a single Laggard was found in the population.
Reviews from LibraryThing.com:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Thesis Thesis Strathmore University (Main Library) Special Collection QA76.76.A786 2022 Not for loan 56493
Total holds: 0

Software as a Services (SaaS) is a revolutionary licensing and distribution model used to deliver software applications over the Internet. It is a compelling value proposition for customers who are keen to avoid tying high capital expenditure that characterizes implementation of on-premise business applications, as it presents customers with the option of pay-as-you-go operating expenditure model as opposed to large upfront capital expenditure. Despite the economics and other adoption facilitators of SaaS, the uptake continues to face an almost similar number of adoption inhibitors. The study sought to investigate the relationships between SaaS Adoption Facilitators and SaaS Adoption Inhibitors on the one hand and SaaS Adoption by Nairobi Securities Exchange (NSE) listed companies on the other. It also sought to establish the SaaS Adoption Psychographic Profiles of NSE listed companies and the relationship with SaaS Adoption, that exist. Rogers’ Diffusion of Innovations (DOI) Theory and modified Technology, Organization and Environment (TOE) Framework were used as baseline theoretical frameworks to undertake the study. The study adopted a census approach given the relatively small number of NSE listed companies, to eliminate any element of chance and obtain the highest accuracy. An Internet-mediated questionnaire was administered to the IT leadership of these companies via SurveyMonkey and data obtained was analyzed using both descriptive and inferential statistics, to test significant relationships between the independent variables and the dependent variable. Using Spearman’s rank correlation coefficient (Spearman’s rho) to assess relationships between independent variables and the dependent variable, the study found that all the SaaS Adoption Facilitators had moderately positive to very strong positive relationships with SaaS Adoption, all the SaaS Adoption Inhibitors had weak negative relationships with SaaS Adoption, with the exception of Integration Challenges which had a moderately negative relationship with SaaS Adoption. The SaaS Adoption Psychographic Profiles established had a moderately positive relationship with SaaS Adoption. Of the SaaS Adoption Psychographic Profiles established, not a single Laggard was found in the population.

There are no comments on this title.

to post a comment.

© Strathmore University Library Madaraka Estate Ole, Sangale Road P. O. Box 59857 00200 City Square Nairobi Kenya
Tel.: (+254) (0)703 034000/(0)703 034200/(0)703 034300 Fax.: (+254) (0)20-607498