Maturity model for evaluating disaster and humanitarian operations

PurposeThis paper proposes a maturity model (MM) for assessing disaster operations and identifying strategies for organisations to evolve their maturity stages.Design/methodology/approachThis study applies a systematic literature review to identify state-of-the-art work related to maturity models for disaster operations. In addition, the study develops a case study to validate the proposed maturity model in a generic scenario and two real-life scenarios.FindingsThe analysis of 158 papers in the literature resulted in identifying 8 maturity models for disaster operations. Based on their structure, the authors proposed a new model with five maturity stages suitable for any of the four phases of the disaster life cycle (i.e. mitigation, preparedness, response and recovery). In addition, the research identified and presents 24 strategies for improving disaster operations according to each maturity stage transition. Finally, the research presents a case study that evaluates the disaster response operations from a Civil Defense organisation considering a response scenario disaster in general, a flood scenario, and the COVID-19 pandemic scenario.Originality/valueThis study provides the following three main contributions useful for academics and practitioners in the disaster operations area: a new maturity model for assessing disaster operations, a strategy guide for improving disaster operations based on a maturity evolution and an empirical study exploring the approximation between academia and professionals involved in real-life disaster operations management.

A periodical analysis of e-government maturity in Saudi Arabia

Purpose Governments of the developing countries must be ready to embrace the evolution of information technology. However, the growth in demand for online services and expectations for convenient access to government resources are placing governments under pressure to deliver outstanding e-services. Despite the successful attempts of the Saudi Government to deliver e-government services, the literature still needs to be advanced with evidence to demonstrate the current status of government websites. Additionally, the growth of e-government services should be periodically monitored and evaluated. Design/methodology/approach This study aims to revisit e-government websites previously surveyed (2006-2012). in Saudi Arabia and examine growth based on the five-stage maturity model. This study supports the approach with a review of the United Nations data and links this assessment with the five-stage maturity model. Findings The results revealed remarkable improvements in the maturity level of online services provided by the government websites of Saudi Arabia. Practical implications The relationship between e-government use and investment decisions appears to be bidirectional, as greater levels of investment seem to offer more opportunities for service improvement. Originality/value The outcomes are expected to assist executive authorities in understanding the current situation of e-government and plan appropriate strategic suggestions and development.

Use of a maturity model for facilitating the introduction of CAR T-cell therapy—Results of the START CAR-T project

Introduction: Chimeric antigen receptor (CAR) T-cell therapies are novel immunotherapies for the treatment of hematologic malignancies. They are administered in specialized centers by a multidisciplinary team and require the careful coordination of all steps involved in manufacturing and using cellular therapies. The Maturity Model (MM) is a tool developed and used for assessing the effectiveness of a variety of activities. In healthcare, it may assist clinicians in the gradual improvement of patient management with CAR T-cell therapy and other complex treatments. Methods: The START CAR-T project was initiated to investigate the potential of a MM in the setting of CAR T-cell therapy. Four Italian clinics participated in the creation of a dedicated MM. Following the development and test of this MM, its validity and generalizability were further tested with a questionnaire submitted to 18 Italian centers. Results: The START CAR-T MM assessed the maturity level of clinical sites, with a focus on organization, process, and digital support. For each area, the model defined four maturity steps, and indicated the actions required to evolve from a basic to an advanced status. The application of the MM to 18 clinical sites provided a description of the maturity level of Italian centers with regard to the introduction of CAR T-cell therapy. Conclusion: The START CAR-T MM appears to be a useful and widely applicable tool. It may help centers optimize many aspects of CAR T-cell therapy and improve patient access to this novel treatment option.

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

In order to improve the economic benefits of enterprises and provide a scientific human resource management method for enterprises, an optimal allocation method of human resource structure based on the integration of capability maturity model is proposed. According to the capability maturity model and its maturity level, the capability maturity integration model is established, and the optimal allocation algorithm of human resources is designed according to the model principle. By constructing the personnel quality evaluation matrix and personnel allocation matrix, the human resource allocation model is established, and the cooperative game method is used to dynamically optimize the human resource allocation model. The experimental results show that this method effectively improves the economic benefits of enterprises, improves the efficiency of human resource allocation, and completes the preset goal.

Constructing a teaching capability maturity model for content and language integrated learning teachers in Taiwan

The national policy of bilingual education will inevitably entail a demand for content and language integrated learning (CLIL) teachers. Consequently, feasible and sustainable CLIL teacher education in Taiwan will be required. This study explored a teaching capability maturity model for CLIL teachers based on the level of maturity of teachers’ teaching capabilities. The modified Delphi method and fuzzy analytic hierarchy process were used. Purposive sampling was employed to recruit 33 interdisciplinary professional CLIL teachers. The three most important levels in the model were the basic course management, advanced course management and implementation, and initial levels. Implications of the results are discussed and suggestions for CLIL teacher education are proposed, such as emphasising the development of course management capabilities and providing teachers with practical experience in teaching content subjects.

A New Model for the Digital Transformation of the Strategic Procurement Function

The purpose of this chapter is to illustrate the application of advanced data analytics in the domain of strategic procurement and its effects on processes, people, and on the procurement business model itself. Advanced data analytics are generally accepted as being one of the key enablers for organisations to build their capabilities to adapt quickly and navigate through volatile business circumstances successfully. Strategic procurement is in a pivotal position in a network of external suppliers and internal stakeholders, and thus ideally positioned to benefit from the introduction of advanced data analytics. However, to date, the application of these technologies has been limited, and clear evidence of benefits delivery is yet to be demonstrated. This chapter draws upon research results from a detailed case study in the aviation industry to assess the benefits of advanced data analytics in the strategic procurement function and puts forward a maturity model of relevance to both researchers and procurement professionals.

Human Digital Transformation Readiness

Digital transformation can effectively support innovative strategic planning. However, it is necessary to realise that the digital ecosystem produces enormous volumes of data and creates unique requirements for working with it. Due to this, data needs to be integrated into the mindset and decision-making processes properly. The proposed solution is based on an analysis of digital transformation readiness models, analyses of the status of data and data literacy in the models and their extensions, a definition of the levels of readiness that need to be achieved, and preparation of educational programs for the enhancement of human digital transformation readiness from the mindset and skillset perspective. The main outputs of the chapter correspond to the problem and the suggested solution. They include the human digital transformation readiness index based on the capability maturity model (CMM), required mindset, and skillset, taking into account the digital and data literacy of the participants of innovation activities.