Institutionalization of Business Intelligence for the Decision-Making Iteration

Author(s):  
Shaheb Ali ◽  
Rafiqul Islam ◽  
Ferdausur Rahman

Business intelligence (BI) institutionalization has become a growing research area within the information systems (IS) discipline because of the decision-making iteration in businesses. Studies on BI application in improving decision support are not new. However, research on BI institutionalization seems sparse. BI institutionalization may positively contribute to a managerial role in using BI application repetitively for the decision-making iteration in businesses. This article aims to carry out an integrative literature review and report consolidated views of the body of knowledge. The study adopted a qualitative content analysis to generate themes about BI routinization in the decision-making iteration. Eighty-eight research articles were selected for the study. However, 57 articles were finally included for review. The findings suggest information management capability as the key necessity for BI application and its alignment with the organizational standard for BI institutionalization.

2019 ◽  
Vol 15 (1) ◽  
pp. 101-118
Author(s):  
Shaheb Ali ◽  
Rafiqul Islam ◽  
Ferdausur Rahman

Business intelligence (BI) institutionalization has become a growing research area within the information systems (IS) discipline because of the decision-making iteration in businesses. Studies on BI application in improving decision support are not new. However, research on BI institutionalization seems sparse. BI institutionalization may positively contribute to a managerial role in using BI application repetitively for the decision-making iteration in businesses. This article aims to carry out an integrative literature review and report consolidated views of the body of knowledge. The study adopted a qualitative content analysis to generate themes about BI routinization in the decision-making iteration. Eighty-eight research articles were selected for the study. However, 57 articles were finally included for review. The findings suggest information management capability as the key necessity for BI application and its alignment with the organizational standard for BI institutionalization.


Author(s):  
Md Shaheb Ali ◽  
Shah J. Miah

Business intelligence (BI) has proliferated due to its growing application for business decision support. Research on organizational factors may offer significant use in BI implementation. However, a limited number of studies focus on organizational factors for revealing adverse impacts on effective decision support. The aim of this theoretical study is to conduct a literature analysis to identify organizational factors relevant to BI implementation. Through a systematic literature review, a qualitative content analysis on 49 relevant sample articles for generating themes inductively is adopted to reveal organizational factors. Findings suggest two contexts: information management that integrates factors such as technological capability and personnel capability and organizational context that integrates factors such as organizational capability, managerial decision, and organizational culture for facilitating embedding information management capability for BI implementation in businesses. It is hoped that these contextual understanding can be useful for further BI implementations.


2019 ◽  
Vol 35 (4) ◽  
pp. 759-773 ◽  
Author(s):  
Ethan T. Bamberger ◽  
Aimee R. Eden ◽  
Kathleen A. Marinelli ◽  
Paola A. Gonzalez ◽  
Sara Tinsley ◽  
...  

Background: A professional association journal should reflect the needs of its organization, its readers, and the field it represents. Evaluating the needs that the Journal of Human Lactation has met, and those it has not, is essential if it is to remain relevant to its readers. Aims: (1) Describe the characteristics of articles published from 1985 through 2018. (2) Describe content intended to educate lactation support providers and clinicians. (3) Explore the ways the content has illustrated the growth and development of lactation knowledge, and (4) identify the reoccurring content threads consistent throughout the 34 years. Methods: A prospective mixed methods approach incorporating a quantitative content analysis and a qualitative thematic analysis was used. Frequency distributions were done on all the variables extracted from published articles ( N = 1586). The second level of analysis identified themes using an iterative and consensus approach. Results: Mirroring the growth in the lactation field, the volume of research articles published each year has increased along with the percent of research articles per issue. Research methods have become more diverse. The international scope and relevance, while always present, has been steadily increasing. Threads identified were; striving for international scope, advancing lactation education, developing a body of knowledge that informs clinical practice in lactation, and creating a centralized place for multidisciplinary research about lactation. Conclusion: The body of work published in the Journal of Human Lactation parallels the development of the lactation specialty. We have highlighted areas for improvement and possible further study.


2020 ◽  
Vol 37 (4) ◽  
pp. 353-363
Author(s):  
Fernando Rey Castillo-Villar ◽  
Judith Cavazos-Arroyo ◽  
Nicolas Kervyn

Purpose The purpose of this study is to focus on analyzing the role of music subcultures in the communication and promotion of conspicuous consumption practices. The object of study is the “altered movement” as the music style of the drug subculture in Mexico. Design/methodology/approach A qualitative content analysis of 78 lyrics and music videos of “altered movement” was carried out between August and December 2018. Findings The analysis of lyrics and music videos leads to the identification of four narratives (from poor to rich, power through violence, lavish lifestyle and power over women) and diverse symbolic markers (luxury brands mainly) that together, display messages aimed at promoting conspicuous consumption practices. Originality/value The current research expands the body of literature of music subcultures in the consumer research area by contesting the common conception of this phenomenon as a healthy source of self-identity formation and deepening into its role as a source of conspicuous consumption practices.


The aim of the study is doing the classification of research articles on Cloud computing adoption in education sector through meta-analysis based on number of articles in different geographical location, year of publication, types of methodology, frameworks used and research area covered in last 9 years. In total 143 research articles from 27 peer-reviewed journals from the year 2010 to 2018 were used for meta-analysis. The research findings from the meta-analysis show there is a very little study in the area of cloud computing application in education. The study contributes to the body of knowledge by identifying a classification method for research methodology types, geographical area, articles published in last nine years, types of research framework and research area through meta-analysis.


Author(s):  
Huong Ha

This chapter aims to (1) examine the awareness and experience of undergraduates in Melbourne, Australia of current and potential online risks, (2) explore how undergraduates deal with online incidents, and (3) make policy recommendations on how to enhance e-consumer protection. A total of 802 valid responses were received from the surveys conducted in Melbourne, Australia in 2007-2008. Findings demonstrate that most of the respondents were not aware of online incidents which could lead to credit card fraud. A number of them have encountered online incidents. Also, several respondents would less likely seek help from government and/or non-government organisations when encountering online incidents. Overall, credit card use and risks in the e-market is an under-research area in Australia, and this is a pilot study in this field. Findings from this chapter would contribute to the body of knowledge of credit card use and debt due to online shopping, and e-consumer protection.


Author(s):  
Rahul Saxena ◽  
Ranjita Gupta

We can treat analytics as a multi-discipline profession because the body of knowledge required for analytics has become extensive, and businesspeople have started to designate teams and departments as being specialists in analytics. An ecosystem of service providers has evolved for this profession, including conferences, degrees, consulting services, certifications, etc. Analytics is best understood as an organizational asset that is used to improve decision making and execution. This chapter outlines the analytics landscape and aims to help organizations gain a shared understanding of issues that must be addressed to plan, build, and use the analytics asset.


2020 ◽  
Vol 16 (3) ◽  
pp. 78-92
Author(s):  
Cláudio Miguel Sapateiro ◽  
Rui Miguel Bernardo

Starting from business intelligence (BI) reference models, this work proposes to extend the multi-dimensional data modelling approach to integrate human factors (HF)-related dimensions. The overall goal is to promote a fine grain understanding of the derived key performance indicators (KPIs) through an enhanced characterization of the operational level of work context. HF research has traditionally approached critical domains and complex socio-technical systems with a chief consideration of human situated action. Grounded on a review of the body of knowledge of the HF field, this work proposes the business intelligence for human factors (BI4HF) framework. It intends to provide guidance on pertinent data identification, collection methods, modelling, and integration within a BI project endeavour. BI4HF foundations are introduced, and a use case on a manufacturing industry organization is presented. The outcome of the enacted BI project referred in the use case allowed new analytical capabilities regarding newly derived and existing KPIs related to operational performance, providing insight into the value of the BI4HF framework.


2019 ◽  
Vol 9 (2) ◽  
pp. 43-61 ◽  
Author(s):  
Sérgio Guerreiro

Decision-making processes are the utmost important to steer the organizational change whenever business process workarounds are attempted during operational times. However, to decide the non-compliant situations, e.g., bypasses, social resistance, or collusion; the business manager demands contextualized and correct interpretations of the existing business process redesign options to cope with workarounds. This article explores the need to aid the decision-making process with a full constructional perspective to optimize the business processes redesign. So, the Markov decision process is combined with the body of knowledge of business processes, in specific, the concepts of designing enterprise-wide business transactions. This methodology supports the management initiatives with more knowledge about the value of business processes redesign. A classical chain of Order-to-Cash business processes (the order, the production, the distribution and the selling of goods) illustrate the benefits of this quantitative approach. Results obtained for business processes redesign in reaction to workarounds are reported. The analysis results show that this approach can anticipate the sub-optimal solutions before taking actions and highlights the impact of discount factors in the final obtained value. The contribution of this novel conceptual integration to the business processes community is the forecast of value function of business transaction redesign options when facing non-compliant workarounds. From related literature, business processes compliance usually comprises offline computation and the redesign is only considered in the forthcoming business processes instances. This article is innovative in the sense that it anticipates the value impact of a redesign, allowing more effective decisions to be taken.


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