State-of-the-art review and critical success factors for mobile business intelligence

Due to ubiquitous information requirements, market interest in mobile business intelligence (BI) has grown markedly. However, mobile BI market is a relatively new area that has been driven primarily by the IT industry. Yet, there is a lack of systematic study on the critical success factors for mobile BI. This research reviews the state-of-the-art of mobile BI, and explores the critical success factors based on a rigorous examination of the academic and practitioner literature. The study reveals that critical success factors of mobile BI generally fall into four key dimensions, namely security, mobile technology, system content and quality, and organisational support perspectives. The various research findings will be useful to organisations which are considering or undertaking mobile business intelligence initiatives

Business Intelligence Implementation Success Framework: A Literature Review

In contemporary competitive business context, managers are increasingly using Business Intelligence (BI) as the technique and solution to improve their understanding of a business environment.  This paper introduces studies performed on the implementation of BI in SMEs between 2000 and 2015, and it is multi-purpose. First, it examines types of research questions addressed by studies of BI carried out in developing countries. Second, its purpose is to identify the gaps in the BI studies in these countries. Third, it aims to be a base for developing a framework for BI implementation success through the classification of the critical success factors (CSFs) found in the relevant literature. Due to this model, BI stakeholders can identify and understand the crucial factors behind the successful implementation of BI systems in SMEs. Keywords: business intelligence, small and medium-sized enterprises, literature review, critical success factors. DOI: 10.7176/EJBM/11-6-0

The Moderating Role of Human Capital on the Relationship between Business Intelligence Capabilities and Business Intelligence Success

Business intelligence (BI) system is at the heart of the management information system of any organization due to its important role of understanding the environment and support decision-making process. However, BI is meaningless without the users who read and interpret outputs and add knowledge in it. This makes human capital is a vital component of BI process. The aim of this empirical study is to investigate the moderating role of human capital on the relationship between BI capabilities and BI success. A survey was conducted to 196 employees working at different companies and using BI Tools. The findings indicated that BI capabilities had some effect on BI success. Accordingly, organizational BI capabilities have a positive relationship with BI success with respect to risk factor value as well as technological BI capabilities such as internal data sources and internal data reliability. Research results also showed that data types, namely qualitative data and BI success have negative and moderate relationship.  Furthermore, partial support was found for the moderating role of human capital on the relationship between BI capabilities and BI success. Managerial implications for practitioners and theory are discussed. Research findings contribute to practice by providing information for users and managers of BI to consider human factors while assessing BI success. Keywords : Business Intelligence, Business Intelligence Capabilities, Business Intelligence Success, Human Capita

Integrating Business Intelligence and Analytics in Managing Public Sector Performance: An Empirical Study

Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form

The influence of critical success factors on business intelligence net benefits

Background: Business intelligence (BI) is regarded as a key practice to invest into and adopt. This is due to the benefits that can be realized from BI. Critical success factors (CSFs) need to be managed appropriately for organizations to realize maximum benefit from their BI investments. Objective: The objective of this study is to measure the influence of BI CSFs on BI net benefits. In addition, the interrelationships between these CSFs will be measured, the effect of moderating variables will be determined and the reasons why these CSFs are important will be explored. Method: A deductive approach was followed. A conceptual model was derived from literature. This model was used to construct an online survey. The data gathered from the survey was analysed using statistical techniques. The results from the statistical analysis were validated and expanded on by conducting semi-structured interviews with participants who completed the online survey. Results: The results found that top management support, alignment between BI and business objectives and BI technology fit for the business were determined to be the most influential BI CSFs to realize BI net benefits. Top management support was shown to have a relationship with all other CSFs. Well-defined user requirements and user participation did not have a relationship with BI net benefits. Industry and size moderated a small portion of the relationships between BI CSFs and BI net benefits. Conclusion: Organizations need to prioritize top management support, alignment between BI and business objectives, BI technology fit for the business, incremental project management methodology and adequate team skills, to realize BI net benefits. Special attention should be given to top management support as it influences all other BI CSFs

Marketing Strategy Analysis of Nano Tea Product Based on Mangosteen Peel (Gracinia Mangostana) to Promote Functional Foods Industry

A marketing strategy analysis is an overview of the potential that can be generated from marketing aspects. This analysis is conducted to overview the feasibility of the product if it entered the market. In this research, the marketing strategy analysis uses three methods: (1) Business Model Canvas (BMC) analysis as a business model of the product; (2) Competitor Intelligence (CI) analysis to observe the product’s position to be developed, compared to the existing products in the market; and (3) Marketing Element analysis to analyze the potential market of the product which can be observed from segmentation, market size potential market, and also the size of the market share of the product. This study uses qualitative and quantitative methods by collecting both secondary and primary data. In the Business Model Canvas (BMC) analysis shows the nano tea product based on mangosteen peel has two business models that are being recommended for the marketing strategy, those are Business to Business (B2B) and Business to Customer (B2C) models. In the Competitor Intelligence (CI) analysis, shows that the product has two success factors to increase the competitive value of the product i.e. success factors in the form of tea powder and nano-size. Those factors will make the product has better efficacy and functions compared to similar tea in other form. While the results of marketing elements analysis of the product will be focused on West Java market, with the value of market share of 0.05% or about 35,904 ton/years from the total market of 72.903,6 tons/years.Keywords: market strategy, competitor intelligence, business model canvas, marketing analysi

Emotional Intelligence of Entrepreneurs

Entrepreneurship benefits the individual and society, but it was unclear whether emotional intelligence (EI) predicts entrepreneurial outcomes. New ventures fail at a high rate. A possible factor in the success or failure of small business could be the emotional intelligence (EI) level of the entrepreneur, defined as the ability to perceive, use, understand, and manage emotions. However, few studies to date had empirically explored EI and entrepreneurship or investigated the predictive value of EI in important measures of entrepreneurial outcomes, such as the success rate in starting new businesses, business longevity, and business profitability. The present study was designed to fill this gap in the literature. The purpose of this study was to determine whether EI scores are predictive of new venture creation (Hypothesis 1), business longevity (Hypothesis 2), new business success rate (Hypothesis 3), or business profitability (Hypothesis 4). Hypotheses were tested using logistic regression (H1) or linear regression (H2, H3, H4). Each analysis controlled for the demographic variables of age, gender, and education level. Regression analysis (n=52); logistic analysis, and correlation analysis showed no statistically significant effect of emotional intelligence scores on business starts, longevity, or profitability when controlling for age, gender, and education. Furthermore, the existence of a business plan prior to starting a business was not correlated with business starts, longevity, or profitability. This study was unique by being one of the first to examine the EI construct empirically with a population of entrepreneurs seeking assistance using the MSCEIT instrument. The results have implications for the selection and training of entrepreneurs, the design of micro-enterprise training programs and the success of the entrepreneur. As a result of this study, a summary of human capital factors of entrepreneurship was developed in Table 3 that can be used as a framework for future research and training purposes

The Effect of Business Intelligence on Management Accounting Information System

In today's business world, we are faced with high volumes of data. New developments in IT provide organizations with effective and efficient access and storage of information. In any case, there is a long distance between the mass of data and its use. Management accounting information system has changed as a key to success in today's business environment. In the field of management accounting, if the accounting information system is not capable of providing information to business managers timely and quickly, organizations' success will be threatened in the competitive environment. To cope with competitors and growth of long-term strategies, the accounting information system should benefit from business intelligence techniques to provide timely and effective financial information. The important competitive advantage against opponents and business competitors in the market is the most important reason to create intelligent systems. The purpose of business intelligence is to help control the flow and resources of business information within and around the organization. In this study, based on the research objectives, using a meta-analysis, some of the applied criteria and parameters of accounting information systems were examined based on business intelligence features. In addition, a model was proposed based on four categories of relationships and inferences, warning and reporting systems, and tools for effective analysis and decision-making. Among the criteria in the literature review are group decision-making, optimization, integration, simulation, traffic reports, prototyping based on the original version, two-way argument process, awareness technology, informing on the content, fuzzificatio, data mining, data storage, real-time analysis process, establishing communication  channels, creating intelligent factors etc. Therefore, the necessity to use a business intelligence-based model in management accounting information system is proposed