The purpose of this project is to analyze whether i3 Strategy of Applied Digital Solutions (ADS) was necessary to meet the fast-moving IT industry. i3 Services Strategy is an integrated corporate strategy to reengineer the organizational structure of ADS.

The goal of this project was to implement the Helpdesk Support Alert System in the Data Center Services (DCS) of California State University, San Bernardino's (CSUSB's) Information Resource and Technology Division (IRT). DCS is responsible for ensuring uninterrupted operation of all CSUSB administrative computing systems. These responsibilities include user support, system maintenance, and system security. The DCS helpdesk cannot be staffed 24 hours a day; this application is designed to alert DCS technicians of emergencies when they are away from the helpdesk. The Helpdesk Support Alert System sends out an automated emergency alert in the form of a short text message to technicians' mobile phones. Technicians respond back to their main office by using the Wireless Application Protocol (WAP) capability of their mobile phones.

PhD (Business Management) / Department of Business Management / Contemporary cloud-based computing is crucial for the efficient delivery of ICT systems to users, as well as for versatile disaster recovery and business continuity management (BCM) platforms. Based on the need for efficient and fault-tolerant port operations, this study proposes a cloud-based business continuity framework (BCM) for the container terminal operations (CTO) in South Africa. The study examined the impact of ICT systems and services on Container Terminal Operations (CTO); determined Critical Business Functions in operations that must stay operational and analysed the impact of the unavailability of ICT systems and services on critical operations. This empirical study employed both quantitative and qualitative research designs and collecting data through self-constructed and self-administered questionnaires and interviews. Quantitative data was analysed using the IBM Statistical Package of Social Science (SPSS) Version 23 while qualitative data was analysed through thematic analysis of interviews. Results show that to realize effective organizational resilience using BCM, three insights, as underlying mechanisms for assimilating cloud computing in BCM can be inferred: the first is that a digitalized BCM architecture ‘fits’ the cloud computing model. The specific BCM characteristics that befits cloud computing are continuous data processing; continuous data access and delivery; multi-platform data access; always – on ICT Services; and better decision making. Secondly, the cloud computing model is a ‘viable’ model that can contribute to managing complex organizations characterized by business units that are highly differentiated in terms of size, structure, ICT and investment levels. For such complex organizations, viability is visible in terms of how the multi-units can harness collective intelligence (CI) for more effective BCM. Collective intelligence, as a form of universally distributed intelligence that is constantly enhanced, coordinated in real time, and which results in effective mobilization of organizational competence, is a core organizing metaphor for achieving BCM in a complex organization. Lastly, to realize BCM, underpinned by greater digitalization of BCM and harnessing of CI; there is need for rethinking strategy towards adoption of an ‘Intelliport strategy’ or ‘smart’ BCM for ports, currently intertwined with the notion of the 4IR. That the ‘smart’ nature of BCM require the assimilation of 4IR technologies that enable ubiquitous presence and real time information regarding organizational processes. Adopting an ‘Intelliport strategy’ is likely to have two main implications for BCM and practice: the first is linked to the development of a circular economy, in which aggregation of BCM activities can enhance sustainable development of the seaports; and secondly, adoption of a cloud computing model that can result in the enhancement of business growth of the units promote collaborative problem solving and decision making in BCM. / NRF

京都大学 / 新制・課程博士 / 博士(経済学) / 甲第22953号 / 経博第628号 / 新制||経||295(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 若林 直樹, 教授 椙山 泰生, 教授 原 良憲 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DFAM

<p>Transitioning to cloud computing is a complex and major effort for large multinational corporations (MNCs). Automated cloud migration tools (ACMTs) have been developed and are evolving to streamline this process. The potential benefits of their use are reported to be significant in terms of cost, time, and business innovation. Academic research on ACMTs and the best leadership practices for their use has been limited. </p><p> </p><p>The purpose of the research was to identify the best leadership practices of MNCs in the use of automated migration tools for the adoption of commercial cloud computing platforms. Adoption of cloud computing is a major technological shift occurring globally, and is still in early stages of growth. Major providers of commercial cloud computing platforms include technological giants such as Microsoft, Amazon Web Services, Google, Oracle and IBM.</p><p> </p><p>A meta-analysis designed research approach focusing on the triangulation of case studies, cloud computing industry data and trends from cloud service providers (CSP) revealed that best practices of leaders within MNCs fall under three main categories: awareness, impact and actions. Further, it was determined that the ACMTs with the most advanced capabilities do not necessarily equate to faster realization of cloud value for the MNC. </p><p> </p>With the continued development of ACMTs and their growing adoption, further study on the role of automation in cloud migration solution deployment will be critical, as ACMT capabilities will continue to mature. No longer the sole domain of becoming a market leader alone, organizations that utilize ACMTs are increasingly doing so just to maintain competitive parity, as the true differentiator in organizational excellence is now in cloud optimization and not simply just getting to the cloud.

The business model concept was first introduced in the early 1990s alongside the boom of the Internet. Although the Internet bubble has burst, the popularity of the business model concept continues to increase. It is being used more and more often by not just people in business management, but also the general population, as people, for example, talk about a successful start-up. Although it has become part of the vernacular today, the business model concept itself is lacking in theoretical roots. Thus, a gap exists regarding the business model concept. Its usefulness in practice has been proven in numerous business cases, yet academia remains divided on the definition and appropriate means to use the concept. A thorough literature review reveals that the concept of a business model has been framed in various ways, ranging from the strategic logic of a company to the activities a company performs. This misalignment creates barriers for the advancement of this body of knowledge in both research and practice. Researchers have thus called for a clearer and more operational definition of the concept.<br> With this goal in mind, this qualitative study sought to advance business model understanding by proposing a business model conceptualization that: <br> 1) Is robust in its theoretical roots and informs the critical characteristics of a business model, <br> 2) Highlights potential means to resolve the debate over the definition of a business model through examination of its broad range of conceptualizations and uses, and,<br> 3) Guides business model design through a robust exploration of design options for users interested in business model development. <br> To achieve this goal, a three-stream study was conducted.<br> The first stream focused on creating a business model construct that is rooted in advanced system theory and on proposing a related business model framework. This objective was achieved through a combination of scholarship of integration and thematic analysis. A resilient complex adaptive system (RCAS) perspective was taken to proactively construct a business model conceptualization. To fully understand an RCAS, a literature review was carried out on the notion of systems. Theories from general system theory (GST) to an RCAS were examined to form a full understanding of these foundational concepts. The resulting construct was employed as the underlying structure of a business model framework. To create a set of functions that a business model should include, an extensive literature review was conducted on 150 business model research articles. Thematic analysis was employed to analyze words and phrases used by authors to describe the critical components of a business model, and then aggregate these views into a set of mutually supportive functions that represent the essence of a business model. Eight functions, termed “elemental functions”, centered on value were defined. These elemental functions are able to capture all components identified in the studied literature and collectively display required RCAS characteristics. This RCAS business model framework lays the foundation for a unified landscape of business model conceptualization and acts as a potential universal language in this body of knowledge. The developed framework also serves as the basis for the subsequent lines of work detailed below, and grounds both further research and application.<br> The second stream is based on the RCAS framework and draws on its ability to facilitate abstraction. The work stream focuses on outlining a knowledge space for business models utilizing three variables that are closely tied to abstraction in the business model context, namely: elemental functions, purposes, and levels of abstraction. These variables were identified as critical factors influencing business model variation from both a literature perspective and observations. A thematic analysis was conducted on the same 150 articles as in the first stream to extract the potential states of these variables. Eleven purposes and five levels of abstraction were identified; and these two variables act as the axes of the knowledge space. Elemental functions were incorporated in the knowledge space to illustrate the frequency with which each elemental function is used for specific purposes and specific levels of abstraction. This knowledge space, herein termed the business model knowledge map, can be used to position existing work and identify future opportunities for research. The 150 articles were positioned in this space to outline a grander picture of the business model concept. It highlights that previous authors in the business model area have worked on abstractions of the same concept. This stream is another step towards a universal landscape of business model conceptualization that could help unify previously diverse views of business models.<br> The last work stream contributes to the design of business models – one of the key purposes for which business model constructs are employed as highlighted in the knowledge map described above. Specifically, this work stream puts forward a system-inspired business model design method. Building directly on the RCAS framework, this stream employs combinatorial design thinking from engineering and design to create a design method. One of the most critical aspects of this design method is its emphasis on creating a complete, to the extent possible, set of design options for each elemental function that composes a business model. To achieve this, an extensive review of over 200 company annual reports was conducted to generate design options for each elemental function. This design method focuses on raising awareness of one’s design options thereby enhancing the potential for business model innovation.<br> Collectively, this study advances the business model body of knowledge in both research and practice. The study is unique in its proactive employment of the RCAS construct to define a business model, its focus on abstraction to form a theoretically robust and potentially universal landscape for knowledge and research on business models, and its proposition of a structured approach to complete business model design. It is hoped that the developments outlined herein help pave a path to a more unified view of business model concepts that can foster connections between the work of researchers who employ business model constructs and further advance the state of knowledge in this arena.<br><br>

<p>This study examined how three different manipulations of a single policing stance affected the quality scores and matching performance in a biometric facial recognition system; it was conducted in three phases. In the first phase, the researcher collected qualitative survey data from active, sworn law enforcement officers in 15 states. In the second phase, the researcher collected quantitative data using a single facial recognition subject and a static body-worn camera mounted to an adjustable tripod. In the third phase, the researcher collected quantitative data from body-worn camera-equipped law enforcement officers who filmed a stationary target as they executed a series of specified movements from the interview stance. The second phase tested two different body-worn cameras: one that is popular among law enforcement agencies in the United States, the Axon Body 2; and one that is inexpensive and available to the general public via a popular internet commerce website. The third phase tested only the Axon Body 2. Results of the study showed that matching results are poor in a biometric system where the test body-worn camera was the sensor, with error rates as high as 100% when the body-worn camera wearer was in motion. The general conclusion of this study is that a body-worn camera is not a suitable sensor for a biometric facial recognition system at this time, though advances in camera technology and biometric systems may close the gap in the future. </p>

<div>This study explores the perceptions of critical stakeholders as to the viability of a fully remote apprenticeship delivery system (FRADS), as well as its ability to serve as a functionally equivalent path of inclusion for access-limited populations. One of the first recorded pedagogical models, apprenticeship was also one of the first to be regulated. The effectiveness of the method of training a novice to enter the adult world of work through apprenticeship is undisputed, when it is conducted in a manner approximate to that from which it derived: a process that occurs over time, with continuous interaction between novice and expert. Despite millennia of practice, and a few emerging programs called Virtual Apprenticeships, the critical real-time skills-based mentoring component (on the job instruction/training, or OJI/OJT) of the modern apprenticeship is still only carried out fully in face-to-face programs. With the move to work-from-home (WFH) resulting from the global COVID-19 pandemic of 2020, assessing the viability of a FRADS is timely. This qualitative exploratory study is a first step in the discussion. Bounded by the parameters of the U.S. Certified Apprenticeship Guidelines for Registered Apprenticeships and the constructs of viability and functional equivalence, participants of three critical stakeholder groups—policy makers, service managers, and front-line service workers—offer their pre-pandemic perceptions of the construct of a FRADS. Guided by the work of Jahoda, et al., (1957), Northrop (1949,1959), and Swedberg (2018), this qualitative exploratory methodology identified perceptual data points that are then compared against a framework of viability derived from IEG’s Service Delivery Evaluation Framework (Caceres, et al., 2016). And, because this represents a large systems change (LSC), I included aspects of Weiner’s (2009) Organizational Readiness for Change—valance and efficacy—as additional indicators of potential viability. Stakeholders examined key components of IEG’s evaluative criteria applied to a face-to-face apprenticeship as a functionally equivalent, technology-mediated apprenticeship delivery system. Additional stakeholder perceptions, mid-pandemic, along with a review of scholarly articles, media reports, and Department of Labor statistics concerning the impact of the WFH mandates foreground the gap a purposeful FRADS might fill. Analysis of some of the findings are represented in a preliminary process map. </div>

The use of materialized views in a data warehouse installation is a common tool to speed up mostly aggregation queries. The problems coming along with materialized aggregate views have triggered a huge variety of proposals, such as picking the optimal set of aggregation combinations, transparently rewriting user queries to take advantage of the summary data, or synchronizing pre-computed summary data as soon as the base data changes. The paper focuses on the problem of view selection in the context of distributed data warehouse architectures. While much research was done with regard to the view selection problem in the central case, we are not aware to any other work discussing the problem of view selection in distributed data warehouse systems. The paper proposes an extension of the concept of an aggregation lattice to capture the distributed semantics. Moreover, we extend a greedy-based selection algorithm based on an adequate cost model for the distributed case. Within a performance study, we finally compare our findings with the approach of applying a selection algorithm locally to each node in a distributed warehouse environment.

This study explored the improvement of individual performance outcomes within the administrative units of UNISA. The study aimed, in particular, to explore, analyse and interpret individual performance management practices. It should be noted that this study did not attempt to cover all the areas of effective and efficient performance management. The focus was to investigate the processes and approaches for continuously managing the improvement of individual performance outcomes, which could lead towards improved institutional performance. The main aim of the study was to investigate how the performance management system at the University of South Africa can be approved. The study adopted qualitative and quantitative research paradigms, thus a combination of inductive and deductive approaches, sampling and analyses, data collection and interpretations were used. However, the research design and methodology in this study primarily focused on a case study design and a mixedmethod approach to reach valid and reliable conclusions. The first part of the thesis focused on the analysis of literature and empirical documents relating to performance management approaches and the research design and methodology applied. The second part focused on the performance management practices at UNISA, the implementation of surveys/questionnaires, interviews and group-discussions. Lastly, ideas and themes were identified from the collected data that should answer the research questions. The study found that performance management should focus on the identification of an individual’s strengths and weaknesses in order to enable improved individual performance outcomes. Therefore, if managers want to manage individuals effectively and improve individual performance, all related factors, which include motivation, coaching and monitoring, as well as influencing positive behaviours by individuals, should form part of the effective performance management system. Far too often, managers neglect objectively analysing performance appraisals’ outcomes, and compromise by allocating undeserved percentage ratings, mainly to avoid possible conflict situations. The study’s findings provided valuable insights that could improve the performance management system at Unisa. - v - Some of the recommendations include: that effective performance management entails co-analysis, co-decision, co-design and co-evaluation, which could lead to the clear objective setting of targets for implementation by individuals; the implementation of quarterly appraisals; the implementation of ‘crowdsourcing’ or 360° evaluations; continuous self-development and training. This study’s outcomes could make a significant contribution to the body of existing literature in the discipline of Public Administration. More specifically, in respect of the survey/questionnaires within three prominent constructs, the triangulation and mixed-methods approach used for this study; and the case study model applied in the research of the University of South Africa, as an institution of higher education. / Public Administration and Management / D. Phil. (Public Administration)