Abstract
Characteristics of big data include its ability to be both diverse and quick, as
well as trustworthy. The vast amounts of existing medical information about patients
can be analyzed using BDA methods, yielding insights that can be used to strengthen
the SME industry. The purpose of this chapter is to identify and explain factors
influencing the adoption of big data amongst SMEs in Africa. This chapter evaluates
the factors from theories and models of technology acceptance (TAM, UTAUT, TTF,
and TEO). All these models and theories are discussed along their sub-factors for
scholars and practitioners to understand big data adoption and utilization issues.
Related Books
Capitalist Realism in Africa: Realities and Myths in Advertising
Digital Currency: An International Legal and Regulatory Compliance Guide
Firms` Strategic Decisions: Theoretical and Empirical Findings
Firms` Strategic Decisions: Theoretical and Empirical Findings
Firms` Strategic Decisions: Theoretical and Empirical Findings
Intellectual Property Basic Manual for Researchers in Universities
.jpg)
Internet Economics: Models, Mechanisms and Management
Learning Why and How: A Reader in Managing Nonprofit and Voluntary Organizations
Markets, Business and Sustainability
Organizational Management: Case Studies for Graduate Students