Business Intelligence Adoption Research Articles

An Investigation of the Potential Benefits and Challenges of Business Intelligence Adoption in the Retail Sector in Gweru, Zimbabwe

The research explores the business intelligence tools that are being utilised by retailers in Gweru in a bid to find the extent of business intelligence (BI) adoption in this sector through comparison with other business intelligence models and frameworks. It further finds the benefits and challenges of adopting business intelligence in the retail sector. The information was collected using questionnaires, interviews and observations. The research findings revealed that there is no integration of data sources used by the current BI tools in the retail sector. Most of the external and internal data sources for business intelligence are being underutilized and there is no adoption of Enterprise Resource Planning (ERP) systems. The research recommends the following to the retail sector organizations in Gweru: adoption of ERP systems, adequate budgets for infrastructure and networking equipment, training of staff, and integration of data sources for BI systems and adoption of integrated BI tools amongst others to circumvent most of the challenges of BI adoption in the retail sector of Gweru.

Technology Acceptance of Business Intelligence and Customer Relationship Management Systems within Institutions Operating in Capital Markets

Business intelligence (BI) and Customer Relationship Management (CRM) projects are difficult to maintain and manage, since they consist of different systems that need to work together in a collaborative manner. For example, inaccurate data from one location can cause most reports to be generated incorrectly, which in turn can cause meaningless results. This situation may result in the failure of BI and CRM systems. This is most likely due to the fact that the process is not planned correctly and needs are not adequately analyzed. For this reason, systems must always be checked and maintained. Additionally, users’ acceptance of this new technology must be examined. In this study, techniques of using BI applications in CRM were examined. While previous studies on the adoption of BI and CRM systems in businesses have used TAM or variants formed from the variables of different theoretical models, in this study an alternative model was proposed based on the Technology Acceptance Model 3 (TAM3), which is an extended form of the TAM's social impact processes and cognitive impact process variables. Thus, this study aims to fill in the gap in the literature and provide a detailed explanation. In order to investigate users’ acceptance of BI and CRM systems, an adapted questionnaire was administered to 90 employees at institutions operating in capital markets. Findings showed that by order of importance perceived usefulness, perceived ease of use and behavioral intention to use are the key constructs for promoting the usage of BI and CRM systems in such sectoral context. Besides this, the author offered suggestions to technology managers and institutions operating in the capital markets concerning new technology, adoption of BI and CRM systems under similar sectoral circumstances.

The effect of business intelligence adoption on agile supply chain performance

The purpose of this paper is to examine how business intelligence (BI) adoption affects agile performance in supply chain. Drawing from the computer behaviour literature, we hypothesise and test the relationship among technology-organisation-environment (TOE) framework, BI adoption and agile performance. A structural equation modelling (SEM) test with maximum likelihood estimation was performed to test the relationship among the research variables. The empirical results from the structural model suggest that TOE framework positively influenced business intelligence adoption. Furthermore, BI adoption was a direct antecedent of agile performance.

The influence of organisational and technological factors on BI adoption in the telecommunication industry across the Middle East and Africa

Research and literature review on adoption of innovations are rich and diverse. With focus on the motivations for technology adoption as well as on the various economic, technological, social and organisational factors, the relevant literature has been reviewed in the context of business intelligence (BI) adoption across the Middle East and Africa (MEA) and within the telecom sector. Amongst the four identified and examined dimensions impacting innovation adoption, this paper focuses on the two that are more of internal dimensions, the organisational and technological dimensions, vs. the economic and social dimensions (which are more of external dimensions). An empirical model is suggested and tested using quantitative research techniques and 305 responses received from telecommunication professionals across the MEA regions. Findings across organisational factors are reported and factors shaping the characteristics of the organisation also proved to be major drivers for BI adoption. Findings from the technological dimensions are also reported.

The effect of business intelligence adoption on agile supply chain performance

The effect of business intelligence adoption on agile supply chain performance

Building novel capabilities to enable business intelligence agility: results from a quantitative study

The class of business intelligence (BI) systems is widely used to guide decisions in all kinds of organizations and across hierarchical levels and functions. Organizations have launched many initiatives to accomplish adequate and timely decision support as an important factor to achieve and sustain competitive advantage. Given today’s turbulent environments it is increasingly challenging to bridge the gap between establishing a long-term strategy and quickly adopting to the dynamics in market competition. BI must address this field of tension as it was originally used to retrospectively reflect an organization’s performance and build upon stability and efficiency. This study aims to understand and achieve an agile BI from a dynamic capability perspective. Therefore, we investigate how dynamic BI capabilities, i.e., adoption of assets, market understanding, and intimacy as well as business operations, impact the agility of BI. Starting from a literature review of dynamic capabilities in information systems and BI, we propose hypotheses to connect dynamic BI capabilities with the agility to provide information. The derived hypotheses were tested using partial least squares structural equation modeling on data collected in a questionnaire-based survey. The results show that the lens of dynamic capabilities provides useful means to foster BI agility. The study identifies that technological advancements like in-memory technology seem to be a technology enabler for BI agility. However, an adequate adoption and integration of BI assets as well as the focus on market orientation and business operations are crucial to reach BI agility.

Successful Business Intelligence System for SME: An Analytical Study in Malaysia

While many larger organizations is adhering to a new level of competence by adoption of advanced Business Intelligence (BI) systems, in the same time there are other small-medium companies who are left behind in terms of updating them for better success in the industry. Thus the aim of the research is to identify Small and Medium Enterprise (SME) specific determinants for Business Intelligence efficiency which will lead those organizations a better understanding of development and testing of BI framework in the business world. In this study, it is therefore considered extensive literature reviews to measure the efficiently factors and proposed a holistic conceptual framework. In the same time, feedbacks of the Business Intelligent experts were taken into consideration to provide new insights for SME companies to ensure where to focus and which type of sector is crucial for an SME organization in order to be successful in parallel with Big organizations. Thus in this regard, Quantitative Survey research method is used and Statistical analysis were used for analyzing the data. The results revealed that SME Companies should focus on Environmental factor (EF) as it is the most identified factor lead BI efficiency in Business Organization.

Self-Service Business Intelligence Adoption in Business Enterprises

Despite the growing popularity of self-service business intelligence (SSBI) tools, empirical research that investigates their acceptance by business professionals is still scarce. This paper presents and tests an integrated model of the antecedents of users' acceptance of SSBI tools in business enterprises. The proposed model is developed based on the technology acceptance model (TAM) and incorporating information and system quality from DeLone and McLean IS success model. It also includes an important factor from the business intelligence literature called analysis quality. To test the model, data were collected through a questionnaire survey from 331 business users working in a variety of industries in Jordan. Data were analysed using structural equation modeling (SEM) techniques. The results demonstrated that the three quality factors– information quality, system quality and analysis quality – are key antecedents of perceived usefulness and ease of use, which in turn were found to be strong predictors of users' intention to use SSBI tools. The findings of this study provide several implications for research and practice, and thus should help in the design and deployment of more user-accepted SSBI tools.

Inside the mind of an IT champion

IT champions have considerable influence on the adoption of a new technology in organisations. A champion engages in a new technology and uses influential tactics to sell and implement it in the organisation. While the importance of IT champions is well documented, very little is understood about how a champion makes sense of a new technology and what sources of beliefs influence the technology commitment of an IT champion. Using an organisation vision lens at the individual level of analysis, this study investigates individuals who championed the adoption of mobile business intelligence (m-BI) in their organisations. Our qualitative analysis suggests that the m- BI organising vision influences IT champions through their m-BI perception and organisational needs perception as they engage in the process of identifying and making sense of the potential of m-BI. Furthermore, an IT champion actively participates and contributes in the organising vision discourse.

Business Intelligence and Analytics: Paving way for Operational Excellence in Indian Banks

<em>India’s banking industry is undergoing through a phase of major transformation, with entry of more players in an already competitive environment and as a result one common theme being seen across banks in India is increased adoption of business intelligence (BI) and analytics to drive their overall profitability. Can Business Intelligence and analytics assist in resolving some of the issues faced by modern day banks in India? This study explored Business Intelligence and Analytics application in Indian Banks using focused interviews, press release, bank website review and case study analysis. The study found tools and technologies being used and various areas of BI application in banks. It also found the areas in need of improvement, issues and challenges faced by Indian Banks in their BI and analytics implementation agenda. It is hoped that this study will serve as a knowledge base about BI and analytics in Indian bank and would assist managers, decision makers and researcher in making better informed decision. The study also provides the scope for further research in the role of Business Intelligence and Analytics in Indian Banking system.</em>

Factors Driving Business Intelligence Culture

The field of business intelligence (BI), despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards hu-man factors of BI adoption. The wide set of human factors influencing BI adoption con-tains elements of what we call BI culture – an overarching concept covering key managerial issues that come up in BI implementation. Research sources provide different sets of features pertaining to BI culture or related concepts – decision-making culture, analytical culture and others. The goal of this paper is to perform the review of research and practical sources to examine driving forces of BI – data-driven approaches, BI agility, maturity and acceptance – to point out culture-related issues that support BI adoption and to suggest an emerging set of factors influencing BI culture.

Implement Fuzzy Logic to Optimize Electronic Business Success

Customers are realizing the importance and benefits of shopping online such as convenience, comparison, product research, larger selection, and lower prices. The dynamic nature of e-commerce evokes online businesses to make alterations in their business processes and decisions making to satisfy customers’ needs. Online businesses are adopting Business Intelligence (BI) tools and systems with the collaboration of fuzzy logic system to forecast the future of the e-commerce. With the aid of BI, businesses have more possibilities to choose types and structures of required information to serve customers. The fuzzy logic system and BI capabilities would allow both customers and vendors to make right decisions about online shopping. Many experts believe that trust and security are critical risk factors for the embracement of e-commerce. Online trust may be influenced by factors such as usability, familiarity and conducting business with unknown parties. This paper discusses fuzzy logic and BI approach to gauge the level of trust and security in online transactions. The paper further addresses the issues and concerns related to the equilibrium of trust, security, and usability in online shopping.

The influence of the human resources business culture on organizational innovation: Comparative study from Canadian and Russian enterprises based in China

Abstract The paper illustrates adoption of innovation, Competitive Intelligence and Business Intelligence in unit of organizational structure. In practice, occurs a problem of administration, such as position allocation, assignment to positions, as well as arises a question: which of researched organizational structure unit is responsible for adaptation of decision making in cross-cultural environment. In the period of 2012–2014 the authors had been researching problems and experience of organization structure in Russian industrial enterprises based in China. The paper helps to understand, which of the positions (in this article we are talking about positions, related to innovation decision making, BI and CI) in international corporations are optimal for Canadian applicants, and which position are more suitable for Chinese employees. For more detailed review, it was decided to compare Canadian and Russian industrial enterprises, carrying on economical and business activity in China.

KEY FACTORS AND BARRIERS OF BUSINESS INTELLIGENCE IMPLEMENTATION

The business environment is constantly changing and becoming more complex and difficult. Enterprises are under pressure, which forces them to react quickly to changing conditions and be innovative in the field in which they work. Such activities require businesses to be more flexible and to take frequent and quick strategic, tactical and operational decisions, some of which are very complex. Receipt of such decisions may require significant amounts of data, information and knowledge. Processing within the required decisions must be made quickly, often in real time and usually requires some automated support. Since the early 21st century, ICT based solutions called Business Intelligence (BI) become an important decision support tool and an integral part of the daily work of managers, analysts and executives across the enterprise. Adoption and use of BI are affected by several factors. The paper presents the results of studies which show the factors for the successful implementation and use of BI. The contribution also points to the influence of individual factors for effective implementation and use of BI and also the impact on the efficient management of processes in the company.

Business Intelligence Strategy

Although Business Intelligence is seen as priority by many companies, the level of benefits achieved varies significantly between firms. Researchers have indicated that not having an effective Business Intelligence strategy is a significant issue in regards to trying to realize organizational benefits. This paper adopting a case study method investigates an Australian energy company's Business Intelligence adoption and the development of a Business Intelligence strategy that directly informed the firm's information needs. The important elements of this strategy included using a set of guiding principles to ensure that there was a close alignment of Business Intelligence outcomes with the company's needs. The paper provides insights for researchers and practitioners on the important factors need to be considered to achieve effective Business Intelligence.

Academic data warehouse design using a hybrid methodology

In the last years, data warehousing has got attention from Universities which are now adopting business intelligence solutions in order to analyze crucial aspects of the academic context. In this paper, we present the architecture of a Business Intelligence system for academic organizations. Then, we illustrate the design process of the data warehouse devoted to the analysis of the main factors affecting the importance and the quality level of every University, such as the evaluation of the Research and the Didactics. The design process we describe is based on a hybrid methodology that is largely automatic and relies on an ontological approach for the integration of the different data sources.

Descriptive business intelligence analysis: Cutting edge strategic asset for SMEs, is it really worth it?

The purpose of this article is to provide a framework for understanding and adoption of Business Intelligence by (SMEs) within the Zimbabwean economy. The article explores every facet of Business Intelligence, including internal and external BI as cutting edge strategic asset. A descriptive research methodology has been adopted. The article revealed some BI critical success factors for better BI implementation. Findings revealed that organizations which have the greatest success with BI travel an evolutionary path, starting with basic data and analytical tools and transitioning to increasingly more sophisticated capabilities until BI becomes an intrinsic part of their business culture and ROI is realized. Findings are useful for managers, policy makers, business analysts, and IT specialists in dealing with planning and implementation of BI systems in SMEs.

Exploring the user acceptance of business intelligence systems in Taiwan's electronics industry: applying the UTAUT model

There appears to be a current trend for companies to invest in business intelligence (BI) systems to improve analytical capabilities to support decision making. Although much attention has been paid to decision-making benefits of BI adoption, limited research has examined factors that influence user acceptance of BI systems. Therefore, this study utilises the unified theory of acceptance and use of technology (UTAUT) to investigate the determinants of users’ behavioural intention to use BI systems, and the moderating effects of gender, age, experience and voluntariness of use on the relationships between the determinants and behavioural intention/usage behaviour. Data was collected from 330 firms in Taiwan’s electronics industry. This result shows that performance expectancy, social influence, facilitating conditions, and computer anxiety were significant determinants of users’ behavioural intention to use BI systems, while effort expectancy was not. Facilitating conditions and behavioural intention were significant predictors of users’ usage behaviour of BI systems.

Concepts and Tools for Marketing Intelligence Development

Business intelligence (BI) is a promising way which let companies to gather large amounts of data, accessing, analyzing that data, and presenting a high-level set of reports that condense the huge amount of that data so that they can make fundamental business decisions regarding business actors (customer, supplier, logistics…). To learn from the past and present time and anticipate the new market trends, many companies are adopting Business Intelligence (BI) tools and systems. There are numerous business intelligence tools to help managers in making the best decisions. The paper give some explanation of the concepts and the components of BI, benefits of BI, tools for BI, the implementation of business intelligence, and a proposal to combine BI and semantic Web. Additionally, the paper describes the popularity and the increase of data and information use from open sources (OS) and its impacts in competitive and marketing intelligence.

Dynamic AI-Geo Health Application based on BIGIS-DSS Approach

Public health organizations use GIS on a daily basis for input, storage, manipulation, and output of geographic information which provides a powerful tool for public health assessment and monitoring in remote locations and developing countries (1). Information technology is taking on a new level of importance due to its business intelligence application solutions. Our proposal is aimed at integrating these two different worlds in a single dynamic framework using web technology at health sector. Dynamic AI-Geohealth application based on BIGIS_DSS approach uses GIS tools and techniques to convert geographic information and analysis of data that becomes valuable information to make more informed business decisions and rational. Thus, the approach is not just a technical or business analytical process; But discipline which includes both. This paper explores the adopting Business Intelligence (BI) with Geographic Information System (GIS) to build a spatial artificial intelligence and predictive analytical approach. Also this paper will explores case research for implementation of proposed approach in developing countries like Egypt at health sector as dynamic health map web application. The proposed approach helps in solving spatial problem which faces decision makers at health