@

Research Proposal

Problem Statement

Organizational functions should be changed in line with changes in the business environment. The invention of new technologies is being a factor hindering organizational growth. On the other hand, organizations which accurately forecast these new innovations are better placed. Business intelligence analytics are majorly being used to enhance the efficiency of firm’s functions. However, there is substantial variation in the utilization. The application of new technologies into an institutions functions increases the returns, and consequently higher profitability is achieved. This research study aims at identifying BIA factors which enhance sophistication of enterprise functions. Furthermore, it will study factors which constrain the adoption of new technologies. This research will assess the factors which affect usage of business intelligence systems. It will therefore bridge the gap between innovation and usage of the new applications.

Purpose of Research

The aim of the research is to evaluate factors affecting optimal utilization of business information systems. The research will address, first, how intensity of competition influences business intelligence systems usage, secondly, the extent of sophistication of data infrastructure in affecting the extent of BIA usage, and lastly, the research will investigate how integration of organizational functions affect extensive use of business information systems. The research outcome will help organization to identify areas of improvement for them to maximize use of business intelligence systems.

Innovation Diffusion/Adoption

Companies navigate technology innovation through adoption. They take time to experience new inventions. Learning through assimilation is an enabler that aids in formation of concrete usage background (Marjanovic Olivera et al. 2017). Therefore, several studies have discovered that extensive utilization relies on adoption. An institution will hence take time to get used to Business intelligence technology. Adoption is embraced by the agencies to legitimize and ration resources. This experience helps an entity to plan for resources to be used by the innovations.

Business Intelligence and analytics

Business intelligence entails collection, collating, analysis and interpretation of data from diverse source to form essential insights. The focus of this activity is to create value addition strategies. The main use of Business intelligence analytics is to create dynamic capabilities (Sharda, Ramesh, et al 2017). For instance, IT strategies used by supply chain departments have been discovered to contribute positively to performance and profitability. Business intelligence infrastructure s flexible. It enables entities to replicate strategies to match system dynamics (Chen, 2012).

Key Results Review

1. Business Information System Adoption

Businesses have been adopting innovation on information technology of different kinds to enhance their performance which is aimed at increasing productivity. However, these business information technologies have not been widely accepted as expected (Olivera 2017). A research done on Indian banks internet banking shows that many customers are not willing to adopt the technology. The research recommended that the bank managers needed to evaluate the major factors which determines the client’s adoption of internet banking and these factors included perceived ease of use, perceived usefulness, conspicuousness and the perceived risk. The study shows that business information technology is dependent on various factors which could be due to perceptual and cultural differences.

2. Deep Structure Usage

The sophistication of data infrastructure determines how a business information system usage. The system features, the tasks and sub-tasks which the system supports are important factors to consider. Bronz (2013) suggest that systems should have capabilities, rules, and resources which are designed into the IS that conceptualizes the requirements of the user tasks. Hence, when examining the relationship between performance and exploitive use, a task-centered measure of deep structure should be created through the examination of IS deep structure sub-set which is important to the task as well as measure the extent to which the intended users will put the features into use. (Sharda 2017) states that deep structure usage increases the performance of a task through: first, by decreasing the amount of time that is spent on irrelevant tasks, and secondly, the deep structures through the engagement of the users’ cognition in the task increases the quality of work in gaining insight into the task.

3. Dynamic organizational relationship and capabilities infrastructure

Employees in a company ought to internalize the organizational culture which focuses on knowledge sharing, collaboration, deliberate learning well as a trusting and positive relationship between them and the information systems. Deliberate learning entails internalizing the organizational culture as well as creating organizational infrastructure changes, practices and processes. Dynamic organizational capabilities help in the creation of mutual responsibilities, trust, and mutual accountabilities between the business personnel and IS personnel. Traditionally, the relationship between business people and IS groups was unhealthy since the business people accused the IS personnel of developing systems that are either cumbersome to use or which don’t meet the business requirements (Burton-Jon). Thus, a good working relationship or high level of trust between the business people and the information system personnel ensures that the Business information systems developed are used.

REFERENCES

Bronzo, M., Vliela de Resende, P. T., Valadares de Oliviera, M. P., McCormack, K. P., de Sousa, P. R. & Lopes Ferreira, R. (2013). Improving performance aligning business analytics with process orientation. International Journal of Information Management, 33(2), 300-307.

Burton-Jones, A. & Grange, C. (2013). From use to effective use: A representation theory perspective. Information Systems Research, 24(3), 632-658.

Marjanovic Olivera, Barbara Dinter, and Thilini Ariyachandra. "Introduction to Organizational Issues of Business Intelligence, Business Analytics and Big Data Minitrack." Proceedings of the 50th Hawaii International Conference on System Sciences. 2017.

Sharda, Ramesh, et al. Business intelligence: A managerial approach. Pearson Higher Ed, 2017.