3,950 research outputs found

    Return on Investment of the CFTP Framework With and Without Risk Assessment

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    In recent years, numerous high tech companies have developed and used technology roadmaps when making their investment decisions. Jay Paap has proposed the Customer Focused Technology Planning (CFTP) framework to draw future technology roadmaps. However, the CFTP framework does not include risk assessment as a critical factor in decision making. The problem addressed in this quantitative study was that high tech companies are either losing money or getting a much smaller than expected return on investment when making technology investment decisions. The purpose of this research was to determine the relationship between returns on investment before and after adding risk assessment to the CFTP framework. Paap\u27s CFTP framework and process to improve technology investments thus served as the theoretical framework for this study. Data were obtained from cloud computing companies using the companies\u27 market risk data and actual returns on investment data. The results and findings of paired sample two-tailed t tests for means and equal variances showed that return on investment was positively related to adding a traditional risk assessment model to Paap\u27s CFTP framework. These findings regarding the addition of risk assessment to the technology investment framework may be used by investors to (a) make better and more expeditious decisions, and (b) obtain a high return on technology investment by selecting the highest return value and lowest risk value

    Development of a framework for cloud-based ERP implementation in developing countries.

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    This research aims to provide a framework to support organizations in cloud-based Enterprise Resource Planning implementation successfully based on benefits realization (BR) approach. The framework has been developed through benefits realization management with adopting the maturity concept to realize most of the expected benefits. The methodology covers four stages, namely, understanding context and current practices, data collection and analysis, framework development and validation. The interview technique has been used to collect data from industries in different sectors based on the qualitative research approach and case study strategy. The research methodology was applied on organizations (customer) and cloud service providers in developing countries during different times of cloud-based ERP post-implementation. The framework integrated maturity and benefit realization (BR) model for better realization; The benefit realization model has four phases, identifying, planning, assessing, and establishing of the benefits. BR approach required a proactive procedure that is maturity which consists of three phases: identification, evaluation, and action. The assessment tools for both models are conducted by using multi-grade fuzzy logic, that will provide indices which shows the organization where they are (maturity index) and where they are going to be (BR index). The developed framework has been validated using assessment tools with industrial experts and the result has been examined by Spearman rank correlation coefficient that shows a perfect positive correlation. The main contribution of this research focused on integrating the benefits realization approach and maturity concept of cloud-based ERP system implementation in the developing countries. The maturity helps organizations to improve the weaknesses area by assessing five enablers: (leadership, strategy, people, technology, and governance) before starting the implementation, to pave the way for realizing the benefits. While the benefit realization model assess organization to realize the expected benefits (operational, managerial, strategic, technology, and organizational) and establish potential for further benefits lead to investment objectives at the end.PhD in Manufacturin

    Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach

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    The maritime industry is facing increasing challenges due to decarbonization requirements, trade disruptions, and geoeconomic fragmentation, such as International Maritime Organization (IMO) sets out clear framework to reach net zero emissions by 2050, Russia-Ukraine war disrupted maritime activities in the Black and Azov seas, and increased trade tensions between the United States and China. To enhance their sustainability, operational efficiency, and competitiveness, maritime organizations are therefore very keen to build big data analytics capability (BDAC). However, various barriers, mean that only a handful are able to do so. We adopt a mixed-method approach to analyze these barriers. Thematic analysis is used to identify five categories of barriers and 16 individual barriers based on empirical data collected from 26 maritime organizations. These are then prioritized using the analytic hierarchy process (AHP), followed by total interpretive structural modelling (TISM) to understand their interrelationships. Finally, cross-impact matrix multiplications applied to classification (MICMAC) is employed to differentiate the role of each barrier based on its driving and dependence power. This paper makes several theoretical contributions. First, China's hierarchical cultural value orientation encourages competition and obedience to rules, resulting in unwillingness to share knowledge, lack of coordination, and lack of error correction mechanisms. These cultural barriers hinder BDAC development. Second, organizational learning category barriers are found to be the most important in impeding BDAC development. This study also raises practitioners' awareness of the need to tackle cultural and organizational learning barriers

    A Framework to Select Techniques Supporting Project Risk Management

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    The need for increasing quality while reducing time and costs asks for developing knowledge about how to manage risk in projects. However, communication and knowledge creation are not easy tasks, especially when dealing with uncertainty, because decision-making is often fragmented and a shared perspective on the goals, opportunities, and threats of a project is missing. With the purpose of stimulating knowledge, a framework to classify techniques supporting project risk management is proposed. To this end, three dimensions encompassing the main aspects characterising the managerial and operational scenario of a project are considered: the phases of the risk management process, the phases of the project life cycle, and the corporate maturity towards risk. The taxonomy is then applied to a wide selection of risk techniques based on the analysis of literature and the authors' experience. Future research efforts will be directed towards refining the framework and testing it in multiple industrie

    Identification and Prioritization of Risk and Its Effect of the Renewable Energy Life Cycle Based on Performance and Risk Indicators

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    Risk management consists of two aspects of risk control and risk assessment in the electricity market. So, risk control should cover the risk and work out of the way of optimal investment portfolios. Thus, the aim of this research is producing solar electricity life cycle profitability. First to identify existing risks in the production of electricity using Delphi technique between 300 experts in 15 Powerhouse. Then, the grey ANP model was the adoption of the New Energy Organization of Iran. The number of risk factors were collected by subject literature in renewable energy in Iran that have analyzed and selected the high-risk factors by ANP GREY method. Finally, to examine the life cycle of solar power, the authors analyzed financial indicators and the life cycle’s factors which relates to performance and risk variables, then, the Regression model used in three stages of life cycle. Finally, the result provides incentives for the energy system to support production renewable electricity and aid to increase the profitability of the renewable energy cycle

    Choosing project risk management techniques. A theoretical framework

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    The pressure for increasing quality while reducing time and costs places particular emphasis on managing risk in projects. To this end, several models and techniques have been developed in literature and applied in practice, so that there is a strong need for clarifying when and how each of them should be used. At the same time, knowledge about risk management is becoming of paramount importance to effectively deal with the complexity of projects. However, communication and knowledge creation are not easy tasks, especially when dealing with uncertainty, because decision-making is often fragmented and a comprehensive perspective on the goals, opportunities, and threats of a project is missing. With the purpose of providing guidelines for the selection of risk techniques taking into account the most relevant aspects characterising the managerial and operational scenario of a project, a theoretical framework to classify these techniques is proposed. Based on a literature review of the criteria to categorise risk techniques, three dimensions are defined: the phase of the risk management process, the phase of the project life cycle, and the corporate maturity towards risk. The taxonomy is then applied to a wide selection of risk techniques according to their documented applications. This work helps to integrate the risk management and the knowledge management processes. Future research efforts will be directed towards refining the framework and testing it in multiple industrie

    A dual perspective towards building resilience in manufacturing organizations

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    Modern manufacturing organizations exist in the most complex and competitive environment the world has ever known. This environment consists of demanding customers, enabling, but resource intensive Industry 4.0 technology, dynamic regulations, geopolitical perturbations, and innovative, ever-expanding global competition. Successful manufacturing organizations must excel in this environment while facing emergent disruptions generated as biproducts of complex man-made and natural systems. The research presented in this thesis provides a novel two-sided approach to the creation of resilience in the modern manufacturing organization. First, the systems engineering method is demonstrated as the qualitative framework for building literature-derived organizational resilience factors into organizational structures under a life cycle perspective. A quantitative analysis of industry expert survey data through graph theory and matrix approach is presented second to prioritize resilience factors for strategic practical implementation

    Harmonizing CMMI-DEV 1.2 and XP Method to Improve The Software Development Processes in Small Software Development Firms

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    Most software development organizations are small firms, and they have realized the need to manage and improve their software development and management activities. Traditional Software Process Improvement (SPI) models and standards are not realistic for these firms because of high cost, limited resources and strict project deadlines. Therefore, these firms need a lightweight software development method and an appropriate SPI model to manage and improve their software development and management processes. This study aims to construct a suitable software development process improvement framework for Small Software Development Firms (SSDFs) based on eXtreme Programming (XP) method and Capability Maturity Model Integration for Development Version 1.2 (CMMI-Dev1.2) model. Four stages are involved in developing the framework: (1) aligning XP practices to the specific goals of CMMI-Dev1.2 Key Process Areas (KPAs); (2) developing the proposed software development process improvement framework based on extending XP method by adapting the Extension-Based Approach (EBA), CMMI-Dev1.2, and generic elements of the SPI framework; (3) verifying the compatibility of the proposed framework to the KPAs of CMMI-Dev1.2 by using focus group method coupled with Delphi technique; and (4) validating the modified framework by using CMMI-Dev1.2 questionnaire as a main item to validate the suitability of the modified framework for SSDFs, and conducting two case studies to validate the applicability and effectiveness of this framework for these firms. The result of aligning XP practices to the KPAs of CMMI-Dev1.2 shows that twelve KPAs are largely supported by XP practices, eight KPAs are partially supported by XP practices, and two KPAs are not-supported by XP practices. The main contributions of this study are: software development process improvement framework for SSDFs, elicit better understanding of how to construct the framework, and quality improvement of the software development processes. There are possible avenues for extending this research to fulfil the missing specific practices of several KPAs, examining other agile practices and using CMMI-Dev1.3 to improve the framework, and conducting more case studie

    Change management capability assessment model for construction organizations

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    The complexity of construction led to the fragmentation of design and construction process with different professionals independently handling each process. This characteristic triggers project changes. The inconsistent management of project changes, especially its implementation causes major risks of cost and time overruns, quality defects, conflicts, and safety issues. However, these challenges raise concerns about how diligently capable the construction organizations are in their work. Lack of management capability affects the performance of construction organizations in terms of project delivery within the constraint of cost and time. However, not much has been reported in the literature on management capability maturity of construction organizations, its assessment and impacts on cost and time performance of building projects in Nigeria. Supporting this claim is the agitations in construction cycle for a unique methodological approach that enables capability maturity assessment to improve performance in building projects. Against this background, this research therefore investigates the impact of change management capability maturity of construction organizations on cost and time performance of building projects in Nigeria. To accomplish this aim, specific objectives that addressed the identified problems includes; assessment of change management capability maturity level of construction organizations (CMCML), assessment of impact of CMCML on cost and time performance and development of a CMCML assessment model for construction organizations. Quantitative research approach that uses questionnaire survey mechanism was adopted for data collection. A total of 42 questionnaires were hand distributed to project managers, project quantity surveyors and contract managers, across construction organizations in southwest zone of Nigeria. The administered questionnaires retrieved revealed 95% response rate. Collected data were analysed using the following quantitative tools; frequency, Spearman?s rank correlation, factor analysis, multiple regression and fuzzy synthetic evaluation techniques. The empirical research findings reveal that the overall CMCML of construction organizations is „moderate? at 3.35 maturity rating and not far from maturity with a value of 1 indicating very low and 5 indicating very high. Findings further indicate poor management capability of contractors as the most prevalent contractor-related factors impacting project changes. The research findings also show that change management capability of construction organization has significant impact on cost and time performance of building projects. Finally, the research provide a CMCML assessment model capable of determining the capability maturity level of construction organizations as well as showing the cost and time performance of construction organizations in building projects

    PB-NTP-09

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