Co-creation of value model for E-service system of Malaysian E-government using hermeneutic phenomenology approach

Malaysian Government has placed high hopes 011 E-Service System (ESS) to facilitate Government to Citizen (G2C). ESS manages the operations in order to enhance a convenient lifestyle and most importantly to attract higher involvement of users. Previous studies have demonstrated remarkable dominant requirement of citizen in ESS context. Furthermore, investigations related to co-creation of ESS for G2C from end-user perspectives have been rarely explored in previous studies. Therefore, it is important to investigate co-creation of ESS for G2C. The aim of this study is to provide insight within the context of co-creation of ESS for G2C to understand the potential determinants that drive successful G2C implementation. This hermeneutic phenomenology case study integrates Co- Creation of Value with Activity Theory as theoretical fundamental in developing the Co-Creation of Value Model (COVA) of ESS for G2C Model. In Phase I, this research describes ESS study to identify common issues, followed with literature review analysis to analyse Co-Creation influences. In Phase II and Phase III, both focus group discussion and expert in depth interviews were conducted which involved twenty four end-users and seven experts of ESS through purposive sampling. Finally, in Phase XV the development of COVA model proceeds with expert validation. The result indicates loyalty and adaptability as enriching experience for end-users meanwhile provider’s value and approach serve as potential value for service provider as source for continual use of the ESS. In addition, the significant value for exchange and learning reduce to 30% of total service failure of ESS on the G2C dimension. Moreover, the Co-Creation factors will complement G2C service success especially in narrowing the gap between human and system

A novel systematic method to evaluate computer supported collaborative design technologies

Selection of suitable computer-supported collaborative design (CSCD) technologies is crucial to facilitate successful projects. This paper presents the first systematic method for engineering design teams to evaluate and select the most suitable CSCD technologies comparing technology functionality and project requirements established in peer-reviewed literature. The paper first presents 220 factors that influence successful CSCD. These factors were then systematically mapped and categorised to create CSCD requirement statements. The novel evaluation and selection method incorporates these requirement statements within a matrix and develops a discourse analysis text processing algorithm with data from collaborative projects to automate the population of how technologies impact the success of CSCD in engineering design teams. This method was validated using data collected across 3 years of a student global design project. The impact of this method is the potential to change the way engineering design teams consider the technology they use and how the selection of appropriate tools impacts the success of their CSCD projects. The development of the CSCD evaluation matrix is the first of its kind enabling a systematic and justifiable comparison and technology selection, with the aim of best supporting the engineering designers collaborative design activity

Modeling and exploitation of the traces of interactions in the collaborative working environment

Les sciences humaines et le progrès social ne peuvent pas se poursuivre sans collaboration. Avec le développement rapide des technologies de l'information et la popularité des appareils intelligents, le travail collaboratif est beaucoup plus simple et plus fréquents que jamais. Les gens peuvent travailler ensemble sans tenir compte de leur emplacement/ location géographique ou de la limitation de temps. Les environnements de travail de collaboration basés sur le Web sont conçus et consacrés à supporter/soutenir le travail individuel et le travail en groupe dans divers domaines: la recherche, les affaires, l'éducation, etc. N'importe quelle activité dans un système d'information produit un ensemble de traces. Dans un contexte de travail collaboratif, de telles traces peuvent être très volumineuses et hétérogènes. Pour un Environnement de Travail Collaboratif (ETC) typique Basé sur le Web, les traces sont principalement produites par des activités collaboratives ou des interactions collaboratives et peuvent être enregistrées. Les traces modélisées ne représentent pas seulement la connaissance, mais aussi l'expérience acquise par les acteurs via leurs interactions mutuelles ou les interactions qu'ils ont avec le système. Avec la complexité croissante de la structure de groupe et les besoins fréquents de collaboration, les interactions existantes deviennent de plus en plus difficiles à saisir et à analyser. Or, pour leurs travaux futurs, les gens ont souvent besoin de récupérer des informations issues de leurs activités de collaboration précédentes. Cette thèse se concentre sur la définition, la modélisation et l'exploitation des différentes traces dans le contexte d'Environnement de Travail Collaboratif et en particulier aux Traces Collaboratives dans l'espace de travail partagé de groupe (ou l'espace de travail collaboratif). Un modèle de traces de collaboration qui peuvent efficacement enrichir l'expérience du groupe et aider à la collaboration de groupe est proposé et détaillé. Nous présentons ensuite et définissons un type de filtre complexe comme un moyen possible d'exploiter ces traces. Plusieurs scénarios de base d'exploitation des traces collaboratives sont présentés. Pour chacun d'entre eux, nous présentons leurs effets et les avantages procurés par ces effets dans l'environnement de travail collaboratif. En effet, un cadre de l'exploitation des traces général est introduit et nous expliquons mis en œuvre dans un ETC. Trois approches collaboratives générant des traces sont discutées à l'aide d'exemples: l'Analyse SWOT, l'intégration de modèle de maturité de la capacité (CMMI) et le Système de Recommandation de Groupe. Une expérimentation de ce modèle a été réalisée dans le cadre de la plate-forme collaborative E-MEMORAe2.0. Cette expérience montre que notre modèle de trace collaborative et le cadre d'exploitation proposé pour l'environnement de travail collaboratif peuvent faciliter à la fois le travail personnel et de groupe. Notre approche peut être appliquée comme un moyen générique pour traiter différents sujets et problèmes, qu'il s'agisse de collaboration ou de l'exploitation des traces laissées dans un ECT.Human science and social progress cannot continue without collaboration. With the rapid development of information technologies and the popularity of smart devices, collaborative work is much simpler and more common than ever. People can work together irrespective of their geographical location or time limitation. In recently years, Web-based Collaborative Working Environments (CWE) are designed and devoted to support both individual and group work to a greater extent in various areas: research, business, learning and etc. Any activity in an information system produces a set of traces. In a collaborative working context, such traces may be very voluminous and heterogeneous. For a typical Webbased Collaborative Working Environment, traces are mainly produced by collaborative activities or interactions and can be recorded. The modeled traces not only represent knowledge but also experience concerning the interactive actions among the actors or between actors and the system. With the increasing complexity of group structure and frequent collaboration needs, the existing interactions become more difficult to grasp and to analyze. And for the future work, people often need to retrieve more information from their previous collaborative activities. This thesis focuses on defining, modeling and exploiting the various traces in the context of CWE, in particular, Collaborative Traces (CTs) in the group shared/collaborativeworkspace. A model of collaborative traces that can efficiently enrich group experience and assist group collaboration is proposed and detailed. In addition, we introduce and define a type of complex filter as a possible means to exploit the traces. Several basic scenarios of collaborative traces exploitation are presented describing their effects and advantages in CWE. Furthermore, a general traces exploitation framework is introduced and implemented in CWE. Three possible traces based collaborative approaches are discussed with comprehensive examples: SWOT Analysis, Capability Maturity Model Integration (CMMI) and Group Recommendation System. As a practical experience we tested our model in the context of the E-MEMORAe2.0 collaborative platform. Practical cases show that our proposed CT model and the exploitation framework for CWE can facilitate both personal and group work. This approach can be applied as a generic way for addressing different types of collaboration and trace issues/problems in CWE.COMPIEGNE-BU (601592101) / SudocSudocFranceF

A systematic technology evaluation and selection method for computer-supported collaborative design

Design is a global activity. It requires collaboration between individuals across borders and beyond barriers. Modern global design is achieved using computer technologies that support many activities of a design process. However, merely supporting design does not guarantee that it is a successful endeavour. The requirements of computer-supported collaborative design are abstract. They are influenced by human-to-human interaction and/or human to computer interaction. As our society moves towards faster communication technologies and a higher number of collaborative technologies available, the need to evaluate the available tools and select the best tool at the appropriate time of the design process is becoming more compelling. If the best tools are not identified, there are missed opportunities for productivity, impacting team communication, cooperation, coordination, and collaboration. Student designers at University have experienced an observable change in technology use within their personal and academic lives. The proliferation of Web 2.0 technologies and the spread of social media, social network sites and mobile technologies have impacted how students socialise and engage in group project work. However, it is unclear if these technologies support or hinder the design process. This behaviour change has led to a motivation to understand the use of technologies to support Computer-Supported Collaborative Design teamwork. This research intended to support Computer-Supported Collaborative Design teamwork by defining the requirements of Computer-Supported Collaborative Design, the technologies which can be used to support Computer-Supported Collaborative Design, the technology functionalities which these technologies feature, and to use this knowledge to systematically evaluate and select the appropriate technology to use for any given collaborative situation. The outcomes of this research documented within this thesis became the development of a systematic and automated method to allow engineering design teams to evaluate technologies based on the existing knowledge of the requirements of Computer Supported Collaborative Design and select which technologies would best support their group design activities. This technology evaluation and selection method was achieved by the creation of the Computer-Supported Collaborative Design matrix, a tool which enables the evaluation of technologies against Computer-Supported Collaborative Design requirements; the creation of an auto-population method for the tool supporting consistency and efficiency of using the method; and the development of an education programme to ensure the correct use of the Computer-Supported Collaborative Design matrix. The Computer-Supported Collaborative Design matrix can be used to support the assessment and selection of technology for use in Computer-Supported Collaborative Design projects by engineering design teams in an educational environment. The tool has been evaluated through demonstration of use for a class and implementation within a class environment. Beyond the Computer-Supported Collaborative Design matrix as a tool, a robust and systematic method of creating the tool has been documented, which is the first step towards broader use of the tool.Design is a global activity. It requires collaboration between individuals across borders and beyond barriers. Modern global design is achieved using computer technologies that support many activities of a design process. However, merely supporting design does not guarantee that it is a successful endeavour. The requirements of computer-supported collaborative design are abstract. They are influenced by human-to-human interaction and/or human to computer interaction. As our society moves towards faster communication technologies and a higher number of collaborative technologies available, the need to evaluate the available tools and select the best tool at the appropriate time of the design process is becoming more compelling. If the best tools are not identified, there are missed opportunities for productivity, impacting team communication, cooperation, coordination, and collaboration. Student designers at University have experienced an observable change in technology use within their personal and academic lives. The proliferation of Web 2.0 technologies and the spread of social media, social network sites and mobile technologies have impacted how students socialise and engage in group project work. However, it is unclear if these technologies support or hinder the design process. This behaviour change has led to a motivation to understand the use of technologies to support Computer-Supported Collaborative Design teamwork. This research intended to support Computer-Supported Collaborative Design teamwork by defining the requirements of Computer-Supported Collaborative Design, the technologies which can be used to support Computer-Supported Collaborative Design, the technology functionalities which these technologies feature, and to use this knowledge to systematically evaluate and select the appropriate technology to use for any given collaborative situation. The outcomes of this research documented within this thesis became the development of a systematic and automated method to allow engineering design teams to evaluate technologies based on the existing knowledge of the requirements of Computer Supported Collaborative Design and select which technologies would best support their group design activities. This technology evaluation and selection method was achieved by the creation of the Computer-Supported Collaborative Design matrix, a tool which enables the evaluation of technologies against Computer-Supported Collaborative Design requirements; the creation of an auto-population method for the tool supporting consistency and efficiency of using the method; and the development of an education programme to ensure the correct use of the Computer-Supported Collaborative Design matrix. The Computer-Supported Collaborative Design matrix can be used to support the assessment and selection of technology for use in Computer-Supported Collaborative Design projects by engineering design teams in an educational environment. The tool has been evaluated through demonstration of use for a class and implementation within a class environment. Beyond the Computer-Supported Collaborative Design matrix as a tool, a robust and systematic method of creating the tool has been documented, which is the first step towards broader use of the tool

Factors impeding the usage of elearning at a telecommunication organization in South Africa: bridging the gap with cloud services

With the enormous competition in the industry, organizations must frequently find better ways to embrace organizational learning. This research study advocates eLearning to be one of the best methods for organizational learning, and this is the study’s main area of interest. This research explored a case at a telecommunication organization named ComTek (pseudonym). The research study addressed a problem of eLearning low usage rate, which resulted in ComTek not meeting their set learning targets during the time of the study. The usage rate was measured using the number of enrolled assessments. The study uses qualitative methods to propose a conceptual framework to understand the causes of low eLearning usage. This conceptual framework illustrated the use of the activity theory elements to understand the problem of eLearning low usage, paired with the use of cloud computing services to access eLearning, and the use of content delivery techniques to help understand eLearning low usage. This conceptual framework took advantage of cloud services like Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). This research study focused on the periods from 2016 to 2017 for collecting data and creating an understanding of the research setting, while other data was derived from historical documents about the phenomenon studied. During this period, there was inadequate literature about cloud computing and other aspects to consider within the domain of telecommunication organizations. The literature study, therefore, comprised of literature from different domains. During the study, ComTek used eLearning with the aid of learning management systems (LMS) to manage learning and leverage employee skills. During the period of the study compared to other years, about 50% of assessments had a usage rate of below 80%, a standard target established by ComTek as a benchmark, placing compliance and training at a low rate. Of the 50% of assessments, some were just above 40% in usage rate, were of a high stake, and were in the categories of compliance and training iv assessments. While this was the case, this study did not consider the technical implementation of the application systems involved, and did not create any form of intervention, but focused on understanding the activities that were involved in the learning environment. This research study used a paradigm that was constructive and interpretive in nature, using qualitative methods with the belief that there were multiple realities in understanding the situation at ComTek and possible solutions to it. To unpack the multiple realities, an exploratory case study was conducted as a research approach. In this study, the researcher used multiple data collection methods, including open-ended questionnaires and unstructured interviews.School of Computin