Combined Digital Nudging to Leverage Public Transportation Use

The urgency of global climate change is becoming increasingly evident, but current mobility patterns in developed countries continue to cause severe environmental damage. Therefore, developed countries need to change their mobility patterns fundamentally, such as modal changes to public transportation instead of private car use. Digital nudging in IT-enabled mobility applications is a novel and promising way to influence modal changes to public transportation. In this study, we conduct an online experiment with 183 participants in which they are being nudged toward public transportation trip options. Our results show that combining two different digital nudges significantly affects the choice of public transportation options. By contrast, single nudges do not lead to significant changes in the choice of public transportation trips. With our findings, we contribute to the research stream of digital nudging and the transportation literature and provide insights for practice to address the adverse effects of current mobility patterns

An adoption model of cloud enterprise resources planning for Malaysian small and medium enterprises

The Cloud Enterprise Resource Planning (ERP) system offers promising benefits for the development of Small and Medium Enterprises (SMEs). It helps to address many of the challenges faced by SMEs and significantly promotes them in terms of business operations and use of resource. Despite its benefits, the research on cloud ERP adoption among SMEs in developing countries has not been fully explored, leading to a low rate of cloud ERP adoption among SMEs. Furthermore, the factors which influence SMEs to adopt the cloud ERP system are still unclear. In an attempt to tackle the aforementioned situation, this research investigated the influencing factors that have determined and enhanced cloud ERP adoption rates. To identify factors and develop the model used in this research, the researcher conducted a Systematic Literature Review (SLR). The model was proposed based on three integrated Information System (IS) predominant theories, namely, Technology- Organization-Environment (TOE) framework and Fit-Viability Model (FVM) with extension of Diffusion of Innovation (DOI) theory to scrutinize the influential factors leading towards Cloud ERP Adoption. Thirteen hypotheses were developed to test and validate the model based on the decision to adopt cloud ERP. A positivism paradigm with quantitative approach was applied to conduct this research. Purposive sampling technique and a survey method were applied and data were collected from SMEs who have already adopted cloud ERP that provided 174 usable responses. The analysis was conducted by using Structural Equation Modeling (SEM) technique through Partial Least Squares (SmartPLS 3.2.7) software to determine the significant relationships of the independent factors to Cloud ERP Adoption. The results showed that Task- Technology Fit, Task Interdependence, Relative Advantage, Compatibility, System Trust, Security, Top Management Support, Employee Cloud ERP Knowledge, Cost Saving, and Competitive Pressure were significantly related to Cloud ERP Adoption. On the other hand, Security was found to have no relationship (p > 0.05) with Task- Technology Fit. Similarly, Government Support and Vendor Support were found to have no relationship (p > 0.05) with Cloud ERP Adoption. In line with this, the research model can be explained as 65.2% of variance from all the independent variables. This implies that the model has substantial predictive power to explain cloud ERP adoption. Finally, this model can be used to guide cloud ERP ecosystems to enhance their knowledge so as to successfully evaluate and adopt the cloud ERP system

Queensland University of Technology: Annual Report 2010

Our annual report provides an evaluation of our performance and achievements during the previous year, measured against our goals and strategic plans. It documents our performance in the three key areas of: teaching and learning research community service. The report includes a summary of financial performance and a copy of our audited accounts

Desenvolvimento de um Guia de Princípios Éticos para aplicações no contexto de IA

Trabalho de conclusão de curso (graduação)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2021.Em um mundo onde os avanços tecnológicos são tão rápidos, a tomada de decisão para uma ágil implantação e/ou adaptação se torna também necessária, levando à criação de várias metodologias que vão auxiliar desde a idealização, passando pelo planejamento e implantação, até a finalização destes projetos que foram pensados. Com este desafio se aplicando a todo o mundo, não seria impensável que mesmo no ramo de Inteligência Ar- tificial o modelo de desenvolvimento de software ágil também estivesse incluso. Porém, neste modelo também vemos a necessidade de pensar nas implicações éticas do uso da tecnologia, que traz consigo importantes desafios a serem superados. Neste trabalho, é discutido como a aplicação da metodologia ágil impactou na criação de um guia para auxiliar os desenvolvedores e usuários finais na implantação de princípios éticos no con- texto de aplicações de Inteligência Artificial (IA). Além disso, é apresentado como foi o desenvolvimento de um guia e seu devido uso através de um protótipo, utilizando o método ECCOLA criado por Vakkuri et al. [1], gerando assim um impacto imediato para os potenciais usuários. Mostramos também como modificar o guia para uso com outros parâmetros desenvolvidos, casos de uso e possibilidades de melhorias futuras, tanto nos projetos futuros quanto no projeto da própria ferramenta.In a world where technological improvements are really quick, having the correct decision for a faster creation and/or adaption becomes more and more requested, asking for the creation of various methodologies which can help since the idealization, proceed through the planning and implementing until the end of those projects that were thought. With that challenge being applied for all the world, it would not be unthinkable that even when Artificial Intelligence area the agile software development were included. But, with this model we see how thinking on ethical implications using this technology becomes required to passthrough those challenges. On this work, we’ll discuss how the agile methodology has impacted on the creation for a guide to help developers and stakeholders implementing those ethical principles at the Artificial Intelligence context. Besides that, it is presented how the development for this guide was proceeeded and using the ECCOLA methodology, created by Vakkuri et al. [1] as a prototype for this tool, generating an immediate impact for potential users. We also show how to modify this tool to use with other methodologies with other parameters, user cases and future improvements, both on future projects and on the development

Assessing information value for harnessing knowledge needed for improving decision-making and effectiveness of a government organisation: A Case study of Abu Dhabi Police Force

Due to many adverse consequences of poor decision making in organisations there is a need to focus on the quality of information and knowledge. This research focuses on how to obtain and use, or “harness” knowledge from information in improving organisational decision-making in a civil protection/security organisation to become effective and enter an organisational wide learning spiral. This is necessary in order to gain a high degree of intuitiveness and intelligence and to be effective. The researcher explores how information-knowledge can be processed and converted into deeper level knowledge, while at the same time how to get decision makers to codify knowledge in order to help them to externalise it. In order to achieve this, the “information-space” model was used to show the information-to-knowledge dynamic journey. The research involved using quantitative and qualitative methods. The quantitative approach is used to obtain computable results from key decision-makers, such as senior workers, and test a model derived from the literature. Seventeen hypotheses were proposed based on theory to evaluate the proposed model. Primary data was collected during the empirical phase of the research from 135 respondents. A structural equation model was used and included exogenous and endogenous latent constructs. On the other hand, a use of qualitative research helped to obtain deeper insights into the use of information and knowledge in decision making. It was underpinned by several propositions and its aim was to expose the role of information-knowledge and the creation of a learning organisation. The results of the quantitative approach revealed that twelve hypotheses are positively significant. Two hypotheses have a significant negative impact on other constructs. Additionally, three hypotheses are non-statistically significant. The results reveal some very interesting insights, such as that demographic factors, such as age, level of education, gender, work experience and level of authority, have a significant impact on problem solving and decision making. In terms of type of information, the proprietary and common sense information types have more significance for solving problem and decision making. But, much to the researcher’s surprise, the public information and personal information played a very minor role. On the other hand, the results of the qualitative data collection show how key decision makers made decisions and gained a certain degree of intuition from it. Therefore, this research has met its objective in helping towards improvement in a civil protection/security organisation to become a learning organisation and help it to enter a learning spiral and make continual improvement. Hence, the researcher succeeds in making suitable recommendations to a number of different stakeholders, in particular the civil protection/security organisations to (i) to develop their management and specialist personnel, and, (ii) to have the necessary information management strategy in place that would harness information and help towards (iii) creating an effective and robust knowledge management strategy

Factors affecting social media use by entrepreneurs and the impact of this use on the opportunity recognition process

Social media is believed to play an essential role in supporting entrepreneurial business and opportunity recognition. However, little is known about the factors that drive social media use and how social media capabilities impact entrepreneurial opportunity recognition. In exploring the role of social media to understand the potential role of social media use on entrepreneurial opportunity recognition, the study was based on the Technological-Organization-Environmental (TOE) and the Opportunity Recognition Frameworks. A mixedmethod study was conducted with data collected from a developed economy (Australia) and a developing country (Nigeria). An initial research model was developed based on the extant review of literature on social media use and entrepreneur opportunity recognition. Firstly, qualitative data were collected via interviews with 14 entrepreneurs, which identified eight factors under four broad categories (technology, environment, individual and social media platform factors) that influence entrepreneur social media use. Also, five social media capabilities were identified (networking, searching, observing, experimenting, and social media data analytics) to drive entrepreneurial opportunity recognition. Comparing the qualitative data with themes developed from published literature, the initial research model was revised. In the second stage, a survey of 568 entrepreneurs was used to validate the model and its associated relationships. The analysis suggests that four general factors influence social media use; platform perception, absorptive capacity, platform abuse and external pressure. In addition, the use of social media was found to influence opportunity recognition through four of the five identified capabilities: searching, observing, experimenting, and data analytics. However, the findings indicate differences on how social media capability drives opportunity recognition amongst entrepreneur in Australia and Nigeria, which can be explained based on their individualist and collectivist culture respectively. Interestingly, the multi-group analysis revealed that the influence of social media capabilities on opportunity recognition might vary depending on the entrepreneur's gender and the age of their business. The theoretical contribution and practical implications of the findings to social media companies, entrepreneurs, and policymakers were discussed. The study limitation includes being a cross sectional study, focusing on small businesses and evaluating two countries