A business intelligence framework for supporting strategic sustainability information management in higher education
- Authors: Haupt, Ross
- Date: 2016
- Subjects: Business intelligence , Strategic planning -- Management
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/5319 , vital:20832
- Description: In the higher education sector, a number of Higher Education Institutions (HEIs) are playing a leading role in promoting sustainable initiatives. Effectively managing these initiatives however can be a complex task and requires data and information from multiple aspects of operations. In an HEI, operating sustainably means ensuring financial sustainability, social sustainability, environmental sustainability and educational sustainability. In order to manage sustainability effectively, HEIs require an integrated tool that can provide information on all areas of sustainability. HEIs face a number of challenges in effectively managing sustainability information, such as siloed data and information, and poor sharing and communication of information. Business Intelligence (BI) can assist in overcoming many of the challenges faced by organisations in effectively managing strategic sustainability information. This study investigates both the constraints to effective sustainability information management and the challenges of BI. A BI framework to support effective strategic sustainability information management is proposed. Nelson Mandela Metropolitan University (NMMU) is one such HEI, which is affected by the challenges of managing strategic sustainability information. NMMU is therefore used as a case study in this research. A BI solution, Sustainable BI, was developed based on the proposed framework. The main goal of sustainable BI is to provide strategic management at NMMU with a tool that can provide integrated sustainability information that can assist in overcoming the challenges in effectively managing strategic sustainability information. Sustainable BI was evaluated by strategic management at NMMU who are responsible for managing sustainability at NMMU. The evaluation took place through a usability study. The study revealed to what extent Sustainable BI could effectively manage strategic sustainability information at NMMU. The BI framework was iteratively improved on based on the results of the evaluations. The contributions from this study are a model for sustainability management, a BI Framework to support strategic sustainability information management and a BI solution, Sustainable BI.
- Full Text:
- Date Issued: 2016
- Authors: Haupt, Ross
- Date: 2016
- Subjects: Business intelligence , Strategic planning -- Management
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/5319 , vital:20832
- Description: In the higher education sector, a number of Higher Education Institutions (HEIs) are playing a leading role in promoting sustainable initiatives. Effectively managing these initiatives however can be a complex task and requires data and information from multiple aspects of operations. In an HEI, operating sustainably means ensuring financial sustainability, social sustainability, environmental sustainability and educational sustainability. In order to manage sustainability effectively, HEIs require an integrated tool that can provide information on all areas of sustainability. HEIs face a number of challenges in effectively managing sustainability information, such as siloed data and information, and poor sharing and communication of information. Business Intelligence (BI) can assist in overcoming many of the challenges faced by organisations in effectively managing strategic sustainability information. This study investigates both the constraints to effective sustainability information management and the challenges of BI. A BI framework to support effective strategic sustainability information management is proposed. Nelson Mandela Metropolitan University (NMMU) is one such HEI, which is affected by the challenges of managing strategic sustainability information. NMMU is therefore used as a case study in this research. A BI solution, Sustainable BI, was developed based on the proposed framework. The main goal of sustainable BI is to provide strategic management at NMMU with a tool that can provide integrated sustainability information that can assist in overcoming the challenges in effectively managing strategic sustainability information. Sustainable BI was evaluated by strategic management at NMMU who are responsible for managing sustainability at NMMU. The evaluation took place through a usability study. The study revealed to what extent Sustainable BI could effectively manage strategic sustainability information at NMMU. The BI framework was iteratively improved on based on the results of the evaluations. The contributions from this study are a model for sustainability management, a BI Framework to support strategic sustainability information management and a BI solution, Sustainable BI.
- Full Text:
- Date Issued: 2016
Critical factors for enabling knowledge sharing between government agencies within South Africa
- Authors: Mannie, Avain
- Date: 2012
- Subjects: Administrative agencies , Knowledge management , Business intelligence
- Language: English
- Type: Thesis , Doctoral , DBA
- Identifier: vital:8822 , http://hdl.handle.net/10948/d1019699
- Description: Globally, organisations have recognised the strategic importance of knowledge management (KM) and are increasingly focusing their efforts on practices to foster the creation, sharing and integration of knowledge. Whilst most research in Knowledge Management (KM) has focused on the private sector, there is a breadth of potential applications of KM theory and practice for government agencies to adopt in search of resolving pertinent problems. The purpose of this study is to examine the factors that influence the effectiveness of knowledge management towards collaborative problem solving in government. What is missing is research-based evidence of the factors that influence the main factors for knowledge sharing across government agencies. Given this gap, the researcher addresses the research question: In government agencies mandated to resolve issues of crime, what are the key factors required which support and influence the collaborative sharing culture? Upon analysing the data, the researcher found the following key factors as being determinants on knowledge management: organisational culture, learning organisation, collaboration, subject matter experts and trust. The two factors – organisational culture and learning organisation were identified as the most significant factors which lay as the root or core for the ‘knowledge tree’. Once these roots are in place, the other factors will gain their significance on knowledge management. These findings serve to extend the findings of the existing literature within the government sector. This study is important because the findings provide government agencies with critically important information to guide their actions towards ensuring a knowledge sharing culture is embedded in government. Whilst the empirical findings do not focus on databases or information technology specifically, it is important to acknowledge the use of both technology and people. The main concern is with managing an organisation’s knowledge assets: creating, storing, protecting, disseminating and using mission-critical knowledge. When people need knowledge, is it the right knowledge and is it timely and easy to locate and access? Is this precious commodity updated as learning occurs and better ways of doing things are discovered? The awareness of the value of knowledge to a business, coupled with its leadership, acts as an integrator that improves cross- functional communication and cooperation. Shared knowledge not only makes for a more effective, efficient and agile organisation, but creates a common perspective and culture that produces a natural consistency of successful decisions and actions. The collaborative knowledge tree model proposed in this study uses the analogy of a tree when viewing South African government agencies as the branches of a collective tree (government). This ‘tree’ requires leaders and policy making to ‘dig deep’ into understanding the roots of the tree in order to ensure that the appropriate ‘seeds’ are planted such that the tree grows and is able to provide the necessary fruit required. Ultimately, as suggested by former President Thabo Mbeki (2012) in his address, the role of knowledge would thus be seen as a collaborative means towards the betterment of society.
- Full Text:
- Date Issued: 2012
- Authors: Mannie, Avain
- Date: 2012
- Subjects: Administrative agencies , Knowledge management , Business intelligence
- Language: English
- Type: Thesis , Doctoral , DBA
- Identifier: vital:8822 , http://hdl.handle.net/10948/d1019699
- Description: Globally, organisations have recognised the strategic importance of knowledge management (KM) and are increasingly focusing their efforts on practices to foster the creation, sharing and integration of knowledge. Whilst most research in Knowledge Management (KM) has focused on the private sector, there is a breadth of potential applications of KM theory and practice for government agencies to adopt in search of resolving pertinent problems. The purpose of this study is to examine the factors that influence the effectiveness of knowledge management towards collaborative problem solving in government. What is missing is research-based evidence of the factors that influence the main factors for knowledge sharing across government agencies. Given this gap, the researcher addresses the research question: In government agencies mandated to resolve issues of crime, what are the key factors required which support and influence the collaborative sharing culture? Upon analysing the data, the researcher found the following key factors as being determinants on knowledge management: organisational culture, learning organisation, collaboration, subject matter experts and trust. The two factors – organisational culture and learning organisation were identified as the most significant factors which lay as the root or core for the ‘knowledge tree’. Once these roots are in place, the other factors will gain their significance on knowledge management. These findings serve to extend the findings of the existing literature within the government sector. This study is important because the findings provide government agencies with critically important information to guide their actions towards ensuring a knowledge sharing culture is embedded in government. Whilst the empirical findings do not focus on databases or information technology specifically, it is important to acknowledge the use of both technology and people. The main concern is with managing an organisation’s knowledge assets: creating, storing, protecting, disseminating and using mission-critical knowledge. When people need knowledge, is it the right knowledge and is it timely and easy to locate and access? Is this precious commodity updated as learning occurs and better ways of doing things are discovered? The awareness of the value of knowledge to a business, coupled with its leadership, acts as an integrator that improves cross- functional communication and cooperation. Shared knowledge not only makes for a more effective, efficient and agile organisation, but creates a common perspective and culture that produces a natural consistency of successful decisions and actions. The collaborative knowledge tree model proposed in this study uses the analogy of a tree when viewing South African government agencies as the branches of a collective tree (government). This ‘tree’ requires leaders and policy making to ‘dig deep’ into understanding the roots of the tree in order to ensure that the appropriate ‘seeds’ are planted such that the tree grows and is able to provide the necessary fruit required. Ultimately, as suggested by former President Thabo Mbeki (2012) in his address, the role of knowledge would thus be seen as a collaborative means towards the betterment of society.
- Full Text:
- Date Issued: 2012
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