Search results

The purpose of this paper is to highlight both the need for measurement of graduate capabilities post-degree completion and the challenges posed by such a task. Higher education institutions provide an important site of learning that can equip future professionals with capabilities to manage and respond to complex sustainability challenges in their careers. Measurement of graduate uptake and application of sustainability capabilities is an important part of advancing sustainability curriculum and pedagogy to educate the twenty-first century sustainability capable graduates.

This paper explores the nature of capabilities and reviews existing approaches to capability assessment.

The nature of capabilities and their assessment post-degree completion pose a number of challenges for the development of assessment and measurement tools, which is why sustainability capability assessment methods are deserving of specific research attention.

The assessment and application of capability in graduates’ professional contexts are an important part of closing the loop between learning and teaching in higher education and professional application of this learning. It is imperative that more research be undertaken on the methodology of graduate assessment, given the need to understand graduate learning outcomes as they apply in professional settings for graduate employability, promoting sustainability and developing effective sustainability pedagogy.

Given that there is significant overlap between employability skills, generic graduate attributes and sustainability capabilities, this paper has relevance beyond the measurement of sustainability capability to the measurement of uptake and professional application of generic capabilities more broadly.

The measurement of graduate capability offers potential to enhance learning for sustainability. Measurement of graduate capabilities is a critical part of closing the loop between workplace expectations, graduate learning outcomes, learning and teaching and curriculum development during degree programs.

The review provided in this paper highlights a critical gap in research on methodologies to undertake measurement of workplace application of graduate capability. The paper explores considerations for measurement of graduate learning outcomes, specifically the difference between measuring competencies, skills and capability and the necessity for the measurement of the latter in the context of sustainability education for future professionals.

Examines the ISO 9001/2 requirement that the capability of a supplier to supply a product or service should be assessed. In practice the development of a preferred supplier list is driven by qualitative rather than quantitative factors of supplier capability. In the field of software considerable progress has been made towards developing models which when applied yield quantitative measures of supplier capability. The emerging ISO/IEC 15504 Standard for software process assessment is examined as a framework for application in application domains other than software. Examines an automated tool, created in the Software Engineering Applications Laboratory to support ISO/IEC 15504 compliant software process assessments, for suitability for application in process assessment in areas other than software.

The emergence of building information modelling (BIM) has led to the need for pre-qualification and selection of organisations capable of working within a BIM environment. Several criteria have been proposed for the assessment of an organisation’s BIM capability during the pre-qualification and selection phase of projects. However, no studies have sought to empirically establish whether organisations selected on the basis of such criteria have actually been the most successful at delivering BIM on projects. The purpose of this paper is to address the aforementioned gap through a comparison of predicted BIM capability and post-selection performance.

BIM capability of firms in a case study was predicted using 28 BIM pre-qualification and selection criteria, prioritised based on their perceived contribution to BIM delivery success from a survey of practitioners on BIM-enabled projects. The comparison of predicted BIM capability and post-selection performance was, on the other hand, achieved through the application of the Technique to Order Preference by Similarity to Ideal Solution and fuzzy sets theory (Fuzzy-TOPSIS).

Findings underscore the reliability of the 28 BIM pre-qualification and selection criteria as well as the priority weightings proposed for their use in predicting BIM capability and likelihood of performance. The findings have highlighted the importance of criteria related as previous BIM use experience as well as information processing maturity as critical indicators of the capability of organisations, particularly design firms.

Overall, the findings highlight the need for prioritisation of BIM pre-qualification and selection criteria on the basis of their actual contribution to delivery success from post-selection evaluation of performance.

The purpose of this paper is to develop a holistic approach to the assessment of dynamic capabilities (DCs). Holistic refers to incorporating all DCs of an organisation relevant for determining and executing the firm's strategy.

A two-phase study was conducted. First, secondary sources, such as media, industry and annual reports, are being used to initially assess CASE (connected, autonomous, shared and electric) and implications for incumbent car manufacturers in a structured way. Second, semi-structured interviews with automotive managers and further automotive stakeholders offer in-depth insights into CASE, as well as incumbents' strategies and the underlying rationale.

The proposed framework for assessing DCs offers a holistic approach and provides new angles of analysis. First, the time dimension is considered using scenarios since timing is vital in strategy and implementation. Second, capabilities are broken down into technological and non-technological, sharpening strategic decision-making of automakers. Third, the analysis considers external VUCA (volatility, uncertainty, complexity and ambiguity) as they interplay with internal DCs.

Further testing of the proposed DC assessment approach offers a promising opportunity for future research. This paper focuses on the automotive industry, but it is worth investigating the extent to which the approach can be used in other dynamic industries, such as finance or retail.

The approach proposed highlights the importance and nuances of considering external perspectives in the DC assessment and the relevance of non-technological capabilities in the automotive industry. Thereby, it contributes to the literature on capability assessments and the operationalisability of the DC lens.

The purpose of this paper is to present a new index of social vulnerability (SV), based on local level data [statistical blocks (SBs)]. This same methodology was applied before at the municipal level, which is a level of analysis that under-evaluates local spots of high SV, by one side, and generalizes the coverage of support capacity equipment and infrastructure. The geographical level of detail of the input data allows to overcome those limitations and better inform infra-municipal risk practitioners and planners.

The assessment of SV in this paper adopts an inductive approach. The research context of this conceptual and methodological proposal derived from the need to operationalize the concept of SV as a planning tool. This approach required to distinguish between the components of criticality and support capability, as their assessment provides knowledge with distinct applications in risk management. The statistical procedure is based on principal components analysis, using the SB as the unit of analysis.

Support capability acts as a counter-weight of criticality. This understanding is well illustrated in the mapping of each component and the final score of SV. The methodological approach allowed to identify the drivers of criticality and support capability in each SB, aiding decision-makers and risk practitioners in finding the vulnerability forcers that require more attention (public or private social equipment, housing policies, emergency anticipatory measures, etc.).

An original approach to SV assessments is the consideration of the components of criticality and support capability. The results allow for the definition of adapted and specific strategies of risk mitigation and civil protection measures to distinct types of risk groups and by different stakeholders and risk practitioners. By predicting the impact and the recovery capacity of communities, the results have applicability in several fields of risk governance as, for example, risk communication and involvement, social intervention (health, education and housing), emergency response, contingency planning, early warning and spatial planning.

The disagreement over the contribution of microfinance to fight poverty is mainly related to the wide range of methodologies used to study it. The aim of this chapter is to reveal the limitations of these methodologies and explore whether the capability approach may improve impact assessment, especially in the microfinance field.

The author’s contribution is based on a comprehensive literature review of the most cited scholarly studies on microfinance impact.

This contribution has two main findings: It identifies the characteristics of an impact assessment conceptual framework based on the Capability Approach. It also gives a documented justification on why this approach is an interesting way to evaluate the potential effects of microfinance programs.

Applying the capability approach to poverty in microfinance is not new. However, as far as we know this is the first contribution that tries to apply it to the specific issue of impact assessment.

This study proposes an objective assessment model to evaluate the performance of internal and external capabilities of firms. It facilitates firms to invest appropriate resources to cultivate the organizational capability necessary to meet the requirements of the performance indicators.

This study integrates the concepts of resource-based theory, the organizational capability concept, and conduct a performance analysis to the four perspectives of the BSC by implementing the fuzzy set theory and data employment analysis.

The findings show that the appropriate strategies help allocate available resources and capabilities during the different product life cycle, which provides practical guidelines for firms to achieve sustaining competitive advantage.

The selected factors were focused on four resources and capabilities rather than all possible factors.

An objective assessment model was created based on internal and external competitive performance efficiency in this research field. This model facilitates the ability of the top management to make decisions for resource allocation that will enhance firm's performance.

For most software companies, the pressure for process improvement arises from the direction of a recently released standard in the domain of process assessment and determination of capability (ISO 15504). In the case of ISO 9001 a valuable framework for evaluation of the degree of compliance to this standard is provided by SABS ARP 042: 1997, while ISO 15504 Part 5 offers a detailed assessment model for a suite of processes important to software development and maintenance. There will be obvious benefits to a company if the data collected during assessments conducted using either the ISO 9001 or ISO 15504 models can be applied with minimal additional effort to provide capability achievement profiles associated with either model. It is shown that the work products produced in the development and maintenance processes represent the link between the two models. The paper illustrates how the process assessment tool developed by the Software Engineering Applications Laboratory provides the facilities for conducting assessments using these models and mapping the results to the application model of either model.

A perfect knowledge management (KM) initiative is one that achieves its objectives without any failure during a pre-defined period. However, KM implementation is not perfect in every organization as it requires substantial changes in organizational infrastructures, including culture, structure, and technology. Therefore, the purpose of this paper is to propose a model for assessing the reliability of KM to help organizations evaluate their ability to implement KM successfully by identifying key reliability variables, modeling the complex interaction structure among variables, and determining the probability of failure for each KM capability.

In this study, relevant variables are identified by a thorough analysis of related references in literature. In order to determine the compound structure of complicated interactions among variables, a group-based approach is utilized. Based on the combined cognitive maps, a cognitive network is constructed as a framework for graphically representing the logical relationships between variables and capturing the uncertainty in the dependency among these variables using conditional probabilities. The applicability of the proposed approach and the efficacy of the model was verified and validated with data from a banking institution.

Results show that KM reliability can be defined by the degree to which required KM capabilities, including infrastructure and process capabilities, have the ability to perform as intended in a certain organizational environment. Furthermore, it is demonstrated that reliability assessment of KM through a hybrid approach of fuzzy cognitive map and Bayesian network is possible and useful.

The proposed reliability assessment model facilitates the process of understanding why and how failures occur in KM. Moreover, the proposed approach evaluates the probability of success for each variable as well as for the entire KM initiative. Therefore, it can provide insight for managers and executives into the degree of reliability for their existing KM and prevention of failures in vital factors through necessary actions.

The suggested approach to KM reliability assessment is a novel method that provides powerful arguments for a more holistic view of KM reliability factors, which is crucial for the successful implementation of KM.

The University of Mauritius (UoM) established as a traditional face-to-face university has been engaged in distance education since 1993 and in e-learning since 2001 to establish itself as a dual-mode institution. In a context where it has engaged itself to promote its internationalization of online courses and a digital learning transformation process, there is a need to assess and evaluate its current e-learning capability to identify areas of good practices and opportunities for improvement to ensure a high quality of e-learning provisions. The paper reports the results of an assessment of the e-learning capability and the related quality assurance processes of the University of the Mauritius using the e-learning Maturity Model (eMM). Quality assurance in higher education is still a key issue, especially with the ever-growing influence of technology and the disruption that the Internet has caused with respect to e-learning and distance education provisions. No university in Mauritius has ever engaged in such an assessment of their e-learning capabilities.

The EMM and the Open Learning Consortium Quality Scorecard Suite were found to be the most complete models in terms of available documentation and description of how to carry out the evaluation with respect to each process area as compared to the other models described in the literature review section. The EMM was, however, chosen as the model to be used for the UoM, given that there already exists a body of knowledge about its applications in different universities that operate in similar contexts. The researcher is at the heart of the process in the role of an ‘eLearning quality auditor’. Therefore, the research used mainly desk studies, and analysis of annual reports as well as a consultative approach with key stakeholders based on a consensus model to reach a rating for each element in the EMMv2.3 instrument. The rating is based on evidence that is available and verifiable through desk research and documentation.

We found out that the main strengths of the university were in the learning process areas mainly because of the need to follow existing quality assurance procedures in place at different phases of a course of life cycle, irrespective of the course modality. On the other hand, across all process areas, the university fared well in the delivery dimension, and this finding is consistent with other universities that were assessed using the EMM. However, it was found that the EMM in current form was more adapted for the assessment of universities operating fully as open or virtual universities rather than those operating as dual-mode institutions or as traditional universities promoting technology-enabled learning. The weakest link was the optimization dimension across all process areas, and the process area that needs more attention for improvement was the evaluation process area. Overall, the university can reasonably be pitched at level two (Repeatable) of the capability maturity model scale used for information systems maturity assessment, but operating towards level three (Defined).

The work presented here has never been carried out for any university in Mauritius, and there have been no reported evaluations or applications within the African region. It allows the university to benchmark and compare its standing with respect to other universities operating as dual-mode institutions and as a reference for other universities in Mauritius as well.