title: Supporting Organisational Critical Activities From Web Sites: An Evaluation Methodology Development

authors: Hung, Wei-Hsi (Frank)

subjects: Organisational critical activities

abstract: quot; Organisational critical activities quot; (OCAs) are activities which must be conducted by the organisation constantly in order to be successful in the industry. They are recognised as being essential to short, medium, and long-term success in that industry, have been significantly resourced and receive regular senior management monitoring and direction. Although these activities are extremely important, some empirical studies have shown that they are not well supported by organisations, particularly in the area of Web support. This thesis develops an evaluation methodology called the quot;organisational critical activity Web support evaluation methodology quot; (OCAWSEM) which can be utilised to elicit OCAs from organisations, evaluate whether an organisation acutes; OCAs are being supported by its Web site, and provide guidance on how the organisation can improve its Web site. To develop the OCAWSEM, this thesis reviews the relevant literature and proposes a prototype OCAWSEM. A new iterative case design (ICD) approach has been used in order to further develop the prototype, and then to test the improved OCAWSEM. The selected field cases were eight universities in New Zealand. In total, 43 semi-structured interviews were conducted with senior teams, middle level managers, and Web teams. A systematic review of these universitiesacute Web sites was performed from the provideracutes, rather than the useracutes perspective. The outcome shows that the Developed OCAWSEM is a valid and reliable methodology for the evaluation of the support for OCAs from Web sites in the universities in New Zealand. This thesis provides useful lessons, drawn from the development and testing processes, as the basis from which to develop more specific OCAWSEMs for use in other organisational and industry contexts. Both practitioners and academicians can gain a deeper understanding of the notion of OCAs, better elicit OCAs from management, conduct Web site evaluations, and discuss the support of the Web sites for the OCAs.

text: Supporting Organisational Critical Activities From Web Sites: An Evaluation Methodology Development quot; Organisational critical activities quot; (OCAs) are activities which must be conducted by the organisation constantly in order to be successful in the industry. They are recognised as being essential to short, medium, and long-term success in that industry, have been significantly resourced and receive regular senior management monitoring and direction. Although these activities are extremely important, some empirical studies have shown that they are not well supported by organisations, particularly in the area of Web support. This thesis develops an evaluation methodology called the quot;organisational critical activity Web support evaluation methodology quot; (OCAWSEM) which can be utilised to elicit OCAs from organisations, evaluate whether an organisation acutes; OCAs are being supported by its Web site, and provide guidance on how the organisation can improve its Web site. To develop the OCAWSEM, this thesis reviews the relevant literature and proposes a prototype OCAWSEM. A new iterative case design (ICD) approach has been used in order to further develop the prototype, and then to test the improved OCAWSEM. The selected field cases were eight universities in New Zealand. In total, 43 semi-structured interviews were conducted with senior teams, middle level managers, and Web teams. A systematic review of these universitiesacute Web sites was performed from the provideracutes, rather than the useracutes perspective. The outcome shows that the Developed OCAWSEM is a valid and reliable methodology for the evaluation of the support for OCAs from Web sites in the universities in New Zealand. This thesis provides useful lessons, drawn from the development and testing processes, as the basis from which to develop more specific OCAWSEMs for use in other organisational and industry contexts. Both practitioners and academicians can gain a deeper understanding of the notion of OCAs, better elicit OCAs from management, conduct Web site evaluations, and discuss the support of the Web sites for the OCAs.

year: 2006

title: Performance measures for evolving predictions under delayed labelling classification

authors: Grzenda, Maciej

subjects: computer science

abstract: For many streaming classification tasks, the ground truth labels become available with a non-negligible latency. Given this delayed labelling setting, after the instance data arrives and before its true label is known, the online classifier model may change. Hence, the initial prediction can be replaced with additional periodic predictions gradually produced before the true label becomes available. The quality of these predictions may largely vary. Thus, the question arises of how to summarise the performance of these models when multiple predictions for a single instance are made due to delayed labels.In this study, we aim to provide intuitive performance measures summarising the performance of multiple predictions made for individual instances before their true labels arrive. Particular attention is paid to the fact that under the delayed label setting, the emphasis placed on the quality of initial predictions can vary depending on problem needs. The intermediate performance measures we propose complement existing initial and test-then-train performance evaluation when verification latency is observed. Results provided for both real and synthetic datasets show that the new measures can be used to easily rank methods in terms of their ability to produce and refine predictions before the true labels arrive.

text: Performance measures for evolving predictions under delayed labelling classification For many streaming classification tasks, the ground truth labels become available with a non-negligible latency. Given this delayed labelling setting, after the instance data arrives and before its true label is known, the online classifier model may change. Hence, the initial prediction can be replaced with additional periodic predictions gradually produced before the true label becomes available. The quality of these predictions may largely vary. Thus, the question arises of how to summarise the performance of these models when multiple predictions for a single instance are made due to delayed labels.In this study, we aim to provide intuitive performance measures summarising the performance of multiple predictions made for individual instances before their true labels arrive. Particular attention is paid to the fact that under the delayed label setting, the emphasis placed on the quality of initial predictions can vary depending on problem needs. The intermediate performance measures we propose complement existing initial and test-then-train performance evaluation when verification latency is observed. Results provided for both real and synthetic datasets show that the new measures can be used to easily rank methods in terms of their ability to produce and refine predictions before the true labels arrive.

year: 2020

title: Water Quality Modelling of Te Waihora/Lake Ellesmere

authors: Hamilton, David P.

abstract: As a component of work to contribute towards the management of water quality of Te Waihora/Lake Ellesmere, the University of Waikato was subcontracted by University of Otago to apply a coupled hydrodynamic-water quality model to the lake. The primary funder for this work was Environment Canterbury (ECAN), Whakaora Te Waihora and the Central Government Freshwater Cleanup Fund. The main modelling tool used in the study to simulate the dynamics of Te Waihora/Lake Ellesmere was the one‐dimensional (1‐D) hydrodynamic-water quality model DYRESM-CAEDYM. The model was used to reproduce observed water column data for a mid-lake station over the period 2011 to 2015. Once a satisfactory level of reproduction of these data had been achieved, an assessment was carried out with the model to examine the impact of various management scenarios on lake water quality. These scenarios involved: (i) projected changes to external nutrient loads to the lake that could be associated with future land management in the catchment and (ii) different lake water level management regimes based around opening of the barrier separating the lake from the ocean. The scenarios are intended here to be a catalyst for further hui and consultations that may adapt and refine additional scenarios, some of which may involve testing of multiple management options. The quantitative output from the model provides a component of the input required to inform strategies for lake management, alongside historical and expert knowledge, as well as analysis of measured data.

text: Water Quality Modelling of Te Waihora/Lake Ellesmere As a component of work to contribute towards the management of water quality of Te Waihora/Lake Ellesmere, the University of Waikato was subcontracted by University of Otago to apply a coupled hydrodynamic-water quality model to the lake. The primary funder for this work was Environment Canterbury (ECAN), Whakaora Te Waihora and the Central Government Freshwater Cleanup Fund. The main modelling tool used in the study to simulate the dynamics of Te Waihora/Lake Ellesmere was the one‐dimensional (1‐D) hydrodynamic-water quality model DYRESM-CAEDYM. The model was used to reproduce observed water column data for a mid-lake station over the period 2011 to 2015. Once a satisfactory level of reproduction of these data had been achieved, an assessment was carried out with the model to examine the impact of various management scenarios on lake water quality. These scenarios involved: (i) projected changes to external nutrient loads to the lake that could be associated with future land management in the catchment and (ii) different lake water level management regimes based around opening of the barrier separating the lake from the ocean. The scenarios are intended here to be a catalyst for further hui and consultations that may adapt and refine additional scenarios, some of which may involve testing of multiple management options. The quantitative output from the model provides a component of the input required to inform strategies for lake management, alongside historical and expert knowledge, as well as analysis of measured data.

year: 2017