A business intelligence framework for sustainability information management in higher education

Scholtz, Brenda; Calitz, André P.; Haupt, Ross

doi:10.1108/ijshe-06-2016-0118

Cited by 49 publications

(56 citation statements)

References 39 publications

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“…Lastly, functional silos [93] are particularly interesting for the aims of this study, insofar as they are defined as a hierarchical management style [94], rather than the structure of exchanges underlying the management or leadership practices. For example, this view is in contrast with other views of organizational silos: data silos [95,96] and knowledge silos [97,98], according to which the boundaries lie in the content and are not just formal or arbitrary ones.…”

Section: Discussionmentioning

confidence: 87%

Organizational Silos: A Scoping Review Informed by a Behavioral Perspective on Systems and Networks

2020

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In recent years, several organizations have implemented interventions aimed at integrating work processes and bridging network clusters. These are often permeated by different assumptions regarding clusters in organizational settings. There are concerns about the formation of silos and structural barriers to communication across the formal and informal network structures. Conversely, network clusters are regarded as spaces of local social reinforcement from which innovation ideas may emerge. Although terminologically and functionally different, they share some common features insofar as organizational behavior is concerned and the production of artifacts that fulfill organizational goals. The present scoping review presents an analysis of the literature on organizational silos while investigating attempts to bridge network clusters. Based on the search results, 40 studies were included in the analysis of the findings; of these, 20 were empirical studies and were included in a further quantitative analysis of methods and findings. We identified patterns of definitions of silos and variation in terms of aims, variables, and methods used to evaluate interventions among the heterogeneous studies. Special attention was dedicated to the role of consequences of siloed organizational behavior. We conclude that silos comprise barriers to achieving organizational goals insofar as they pose a threat to internal cooperation.

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Section: Discussionmentioning

confidence: 87%

Organizational Silos: A Scoping Review Informed by a Behavioral Perspective on Systems and Networks

2020

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“…The method of the integrated BI framework for learning analytics was composed of six stages: the selection of data sources, the selected data, the preprocessed data, the transformed data, the data mining and the discovery of knowledge. Figure 2 details the stages considered in the implementation of the BI framework [14]. In the following, the different stages of the BI framework are explained in detail.…”

Section: Methodsmentioning

confidence: 99%

A Business Intelligence Framework for Analyzing Educational Data

2020

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Currently, universities are being forced to change the paradigms of education, where knowledge is mainly based on the experience of the teacher. This change includes the development of quality education focused on students’ learning. These factors have forced universities to look for a solution that allows them to extract data from different information systems and convert them into the knowledge necessary to make decisions that improve learning outcomes. The information systems administered by the universities store a large volume of data on the socioeconomic and academic variables of the students. In the university field, these data are generally not used to generate knowledge about their students, unlike in the business field, where the data are intensively analyzed in business intelligence to gain a competitive advantage. These success stories in the business field can be replicated by universities through an analysis of educational data. This document presents a method that combines models and techniques of data mining within an architecture of business intelligence to make decisions about variables that can influence the development of learning. In order to test the proposed method, a case study is presented, in which students are identified and classified according to the data they generate in the different information systems of a university.

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“…These include improved navigation and help features (Smuts, Scholtz and Calitz, 2015). A sustainability BI tool for higher education institutes included a usability step at the end of the process, once the product was already released (Scholtz, Calitz and Haupt, 2018). Furthermore, some studies have investigated the usability of business intelligence tools.…”

Section: Business Intelligence Usabilitymentioning

confidence: 99%

Augmenting the Business Intelligence Lifecycle Model with Usability: Using eye‑Tracking to Discover the why of Usability Problems

Beelders¹,

Kotzé²

2020

EJISE

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Humans and machines generate data at an alarming rate but still struggle to analyse and process this data fast enough. In order to meet this rising demand, business intelligence (BI) software firms are constantly incorporating new reporting or analytical functionalities in their software. At the same time, in order to be used optimally, they must ensure these features do not overwhelm users. There has however recently been cases where organisations, even after significant monetary investments, fail to realise the full potential of BI tools, sometimes reporting less than 20% utilisation. The purpose of this study was to investigate possible causes of the low utilisation and test the inclusion of a BI usability process. The study uses an off‑the‑shelf tool as a matter of convenience but proposes that including an empirical evaluation process as part of the BI design and development could increase BI adoption and usage. A small feasibility study was conducted to determine whether eye‑tracking is viable as a means of determining why the usability problems exist. Findings suggest that analysis of eye‑tracking data, together with traditional usability measures offer insight into how users solve problems and use the BI tool. Therefore, it will be a valuable aid in the design and testing of BI tools before release to enhance the usability therefore and potentially increase adoption and usage rates and should be included as a phase in the design and development lifecycle.

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A business intelligence framework for sustainability information management in higher education

Cited by 49 publications

References 39 publications

Organizational Silos: A Scoping Review Informed by a Behavioral Perspective on Systems and Networks

Organizational Silos: A Scoping Review Informed by a Behavioral Perspective on Systems and Networks

A Business Intelligence Framework for Analyzing Educational Data

Augmenting the Business Intelligence Lifecycle Model with Usability: Using eye‑Tracking to Discover the why of Usability Problems

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