20 research outputs found

    Examining the factors inhibiting Smart Cities implementation in Jordan

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    The study focuses on the emergence of smart cities as a transformative concept, connecting various aspects of daily life. While most existing literature on smart cities is based on experiences in developed countries, this research examines the factors influencing the implementation of smart city projects in Jordan, a developing nation. The factors considered encompass governmental, economic, social, technological, legal, and environmental aspects. The findings, derived from interviews with experts from different sectors in Jordan, highlight key barriers to smart city transformation. These include a lack of cooperation and coordination, unclear vision, and limited private-public participation in the governmental sector. Additionally, economic factors such as the need for flexible funding legislation, social factors like community involvement, technological challenges related to data availability and system integration, legal issues concerning open data access and regulatory norms, and environmental concerns tied to population growth were identified. The study also pinpoints specific Jordanian factors crucial to the context, such as physical infrastructure, land ownership, sponsorship management, approvals, fees and taxes, trust in e-government products, and security. The research provides valuable insights for government officials and policymakers and concludes with recommendations and suggestions for future research directions

    A Literature Review on Cloud Computing Adoption Issues in Enterprises

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    Part 3: Creating Value through ApplicationsInternational audienceCloud computing has received increasing interest from enterprises since its inception. With its innovative information technology (IT) services delivery model, cloud computing could add technical and strategic business value to enterprises. However, cloud computing poses highly concerning internal (e.g., Top management and experience) and external issues (e.g., regulations and standards). This paper presents a systematic literature review to explore the current key issues related to cloud computing adoption. This is achieved by reviewing 51 articles published about cloud computing adoption. Using the grounded theory approach, articles are classified into eight main categories: internal, external, evaluation, proof of concept, adoption decision, implementation and integration, IT governance, and confirmation. Then, the eight categories are divided into two abstract categories: cloud computing adoption factors and processes, where the former affects the latter. The results of this review indicate that enterprises face serious issues before they decide to adopt cloud computing. Based on the findings, the paper provides a future information systems (IS) research agenda to explore the previously under-investigated areas regarding cloud computing adoption factors and processes. This paper calls for further theoretical, methodological, and empirical contributions to the research area of cloud computing adoption by enterprises

    An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

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    Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud

    Book Review: Always-On Enterprise Information Systems for Business Continuance, Technologies for Reliable and Scalable Operations

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    Smart cities in Jordan: Challenges and barriers

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    \ua9 2024The smart city has emerged as a revolutionary concept that connects all the different aspects of our life, and the world is witnessing a change of the cities to become smart. As most of the literature related to smart cities refers to the experience of such projects in the context of developed countries, the primary aim of this study was to examine the factors affecting the implementation of smart city projects in a developing one, namely Jordan, through covering the gaps that existed in previous research. The factors examined were divided into: governmental, economic, social, technological, legal, and environmental. The findings were based on semi-structured interviews undertaken with experts (seven participants from the private sector, five from the public sector, and three from academia) entrenched in smart city projects in Jordan. The findings of the study reveal that a lack of cooperation and coordination, unclear smart city vision, and poor private-public participation from the governmental group are found to be the top factors that hinder the transformation into a smart city. In the other groups, the need for more flexible legislation to obtain funding (economic factors), community involvement (social factors), poor data availability and scalability, integration and convergence issues across IT networks, and the lack of a database and a centralised analytics system (technological factors), the need for open data and access to such datasets, and lack of regulatory norms, policies, and directions (legal factors) and growing population problems (environmental factors) are the significant factors. This research project is useful to the government and policymakers in several ways. The paper ends with a number of recommendations and avenues for future research

    Cloud computing adoption in the government sector in Brazil: an exploratory study with recommendations from IT Managers

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    Cloud Computing constitutes an alternative for organizations that want to op-timize the use of computing resources and rationalize costs with IT infrastructure. How-ever, the adoption and implementation in the government sector pose several challenges, regarding IT control, data protection in the Internet, efficient use of computing resources and cost rationalization. Within the government sector, the lack of knowledge about is-sues involving adoption and migration to cloud computing may negatively impact IT.This study aims to identifythe factors influencing the adoption of cloud computing in the government sector in Brazil. We carried out the study interviewing IT professionalsthat successfully migrated to the cloud with three organizations, two large and public univer-sities and one data processing agency. Using the approach Value-Focused Thinking, we analyzed the data collected from the interviews.Our Findings revealed a set of twenty-one recommendationsto take into account when implementing cloud computing in the government sector, such asusing a pilot project, training,andconsulting, amongothers. These recommendations are useful to guide the IT decision makers in the process of cloud computing adoptionand implementationas an efficient and reliable approachin the government sectorFCT –Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/201
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