A Methodology for the Assessment of the Quality of Information from Robbery Events to Enrich Situational Awareness in Emergency Management Systems

Souza, Jéssica Oliveira de; Botega, Leonardo Castro; Segundo, José Eduardo Santarem; Berti, Claudia Beatriz

doi:10.1016/j.promfg.2015.07.440

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…The Department will continue to monitor the reliability of the data in the HEMIS submissions (DHET 2013). Souza et al (2015) state that an MIS system can be degraded if fed with low-quality information, undermining the understanding of situations and as a result the decisionmaking process. Shaheen, Manezhi, Thomas, and Alkelya (2019) reiterates that inaccurate data in a dataset can lead to ambiguous results.…”

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Factors that Affect Efficiency in the Utilisation of Performance Management Data Sets at Tshwane University of Technology

Pieterse¹,

Worku²,

Muchie³

2020

MyRES

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The research explores the conflicts in the management information systems within the South African Higher Education Institutions (HEIs). Research done on the quality of data that has been assessed and evaluated is still very limited and scanty. This study aims to fill the gap by conducting an empirical study on the performance management data with a geographical demarcation by selecting a specific university of technology Tshwane University of Technology (TUT). An explanatory design was used to determine why there are so many data errors to discover and suggest solutions to the problem. The units of analysis are individuals. The reasons why individuals make mistakes and why from the on-set data is not captured accurately. This is a crosssectional study and data was collected from respondents over a period between two and seven months. Questionnaires were distributed over a period of seven months and interviews were conducted over a period of two months. The primary causes for inaccurate data are identified as data managers are not sufficiently trained; and staff members are not always aware of where he or she fits into the organization. Data capturers are not adequately trained to prevent data errors and a lack of communication also contribute to data errors. Research confirms that user resistance can cause the implementation of a new MIS system to fail. There is still a gap in understanding how users evaluate changes related to a new information system. It is further confirmed that there exists a relevance between colleques opinions, self-efficacy for change and user resistance (Kim & Kankanhalli, 2009). The following training modules are suggested to be included in the training programme: the importance of data accuracy and consequences of data errors; basic management skills, the value chain of the university as well as targeted training to address specific ITS data errors.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Factors that Affect Efficiency in the Utilisation of Performance Management Data Sets at Tshwane University of Technology

Pieterse¹,

Worku²,

Muchie³

2020

MyRES

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“…Investing in MIS and New Management Tools does not guarantee improved business results as proven in the literature by Pérez-Méndez & Machado-Cabezas (2015). An MIS system can be downgraded if fed with low-quality information, undermining the understanding of situations and as a result, the decision-making process (Souza, Botega, Segundo & Berti, 2015 IT governance is senior management's capability to direct, measure, and evaluate the use of an enterprise's IT resources in support of the achievement of the organisation's strategic objectives. This can be achieved if people, process, and technology provide the management system together.…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2020

MyRes2020

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“…Como tendência nas pesquisas, os artigos de Evers et al (2012), Dorasamy et al (2013), Pulwarty et al (2014), Souza et al (2015), Chen et al (2018) e Saeed et al (2018), apontaram modelos e sistemas de informações, uso de robótica, inclusive na nuvem para a gestão de riscos de desastres. Blake et al (2019) trataram em seu artigo sobre sistemas e destaca que os sistemas e processos padronizados de GC são cruciais para o sucesso das atividades.…”

Section: Conclusãounclassified

Gestão Do Conhecimento No Contexto Da Gestão De Riscos De Desastres

Vazquez

Santos²

2020

Anais Do X Congresso Internacional De Conhecimento E Inovação (ciKi)

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Este artigo apresenta como pergunta de partida identificar “como as pesquisas acadêmicastêm trabalhado a gestão do conhecimento na gestão de riscos de desastres após a criação daLei n. 12.608 em 2012”. O objetivo geral da pesquisa “analisar as característicasbibliométricas após 2012 sobre gestão do conhecimento na redução de riscos e desastres, paraidentificar as inovações que os autores estão criando, assim como as temáticas das publicaçõesindexadas em base de dados internacionais”. A partir de uma revisão sistemática integrativasalienta-se, que, em caso de desastres, no âmbito das organizações públicas, deve-se terpessoas capacitadas em vários espaços, preparadas para atuar, cada uma dentro das suascompetências, coordenadas com ações integradas.

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A Methodology for the Assessment of the Quality of Information from Robbery Events to Enrich Situational Awareness in Emergency Management Systems

Cited by 3 publications

References 4 publications

Factors that Affect Efficiency in the Utilisation of Performance Management Data Sets at Tshwane University of Technology

Factors that Affect Efficiency in the Utilisation of Performance Management Data Sets at Tshwane University of Technology

Untitled

Gestão Do Conhecimento No Contexto Da Gestão De Riscos De Desastres

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