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Ho, Thanh Trung, Thy Thi Phuong Ho, Trang Thi Le, Van Thi Hoai Quach, Khang Phuoc Hoang Le und Nga Thi Thuy Tran. „Cloud ERP, a new approach for enterprise resources planning“. Science and Technology Development Journal 19, Nr. 1 (31.03.2016): 111–28. http://dx.doi.org/10.32508/stdj.v19i1.532.
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The combination between Enterprise Resource Planning (ERP) system and Cloud Computing technology is a new trend in information technology and communication. These are two different arrays of information system in modern business. However, when the advantages of ERP and the outstanding features of Cloud Computing technology are integrated, they not only can bring more benefits to the enterprises, but also help them to develop sustainably in the the dynamic economic market. Cloud ERP (Cloud - Based ERP) has been popularly applied in organizations worldwide but not received much attention from Vietnamese enterprises. Therefore, the study on Cloud - Based ERP can create a new ERP approach for the Vietnamese enterprises. In particular, it can help them understand Cloud ERP technology solution and the practical benefits that it brings. The study only proposes the its application based on the class of service models of Cloud Computing for the enterprises. From the successful implementation of Cloud ERP technology solution based on PaaS model of Cloud Computing, the study provides enterprises with the installations, configure, and a knowledge of the application solution.
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Ahn, Byungchan, und Hyunchul Ahn. „Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach“. Sustainability 12, Nr. 16 (10.08.2020): 6426. http://dx.doi.org/10.3390/su12166426.
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To enhance the sustainability of business operations, enterprises have interests in enterprise resource planning (ERP) transitions from an existing on-premise method to a cloud-based system. This study conducts a comprehensive analysis using the technology-organization-environment, diffusion of innovation, and the model of innovation resistance frameworks. The empirical analysis shows that the factors of organizational culture, regulatory environment, relative advantage, trialability, and vendor lock-in all had a significant influence on the intention to adopt cloud-based ERP, while information and communications technology skill, complexity, observability, data security, and customization had no significant influence on the intention to adopt cloud-based ERP. This study’s findings provide meaningful guidance for companies that want to adopt cloud-based ERP, governments that support enterprise digitalization, and vendors who sell cloud-based ERP systems.
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Surendro, Kridanto, und Olivia Olivia. „Academic Cloud ERP Quality Assessment Model“. International Journal of Electrical and Computer Engineering (IJECE) 6, Nr. 3 (01.06.2016): 1038. http://dx.doi.org/10.11591/ijece.v6i3.9836.
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In the past few decades, educational institutions have been using conventional academic ERP system to integrate and optimize their business process. In this delivery model, each educational institutions are responsible of their own data, installation, and also maintenance. For some institutions, it might cause not only waste of resources, but also problems in management and financial aspects. Cloud-based Academic ERP, a SaaS-based ERP system, begin to come as a solution with is virtualization technology. It allows institutions to use only the needed ERP resources, without any specific installation, integration, or maintenance needs. As the implementation of Cloud ERP increases, problems arise on how to evaluate this system. Current evaluation approaches are either only evaluating the cloud computing aspects or only evaluating the software quality aspects. This paper proposes an assessment model for Cloud ERP system, considering both software quality characteristics and cloud computing attributes to help strategic decision makers evaluate academic Cloud ERP system.
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Surendro, Kridanto, und Olivia Olivia. „Academic Cloud ERP Quality Assessment Model“. International Journal of Electrical and Computer Engineering (IJECE) 6, Nr. 3 (01.06.2016): 1038. http://dx.doi.org/10.11591/ijece.v6i3.pp1038-1047.
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In the past few decades, educational institutions have been using conventional academic ERP system to integrate and optimize their business process. In this delivery model, each educational institutions are responsible of their own data, installation, and also maintenance. For some institutions, it might cause not only waste of resources, but also problems in management and financial aspects. Cloud-based Academic ERP, a SaaS-based ERP system, begin to come as a solution with is virtualization technology. It allows institutions to use only the needed ERP resources, without any specific installation, integration, or maintenance needs. As the implementation of Cloud ERP increases, problems arise on how to evaluate this system. Current evaluation approaches are either only evaluating the cloud computing aspects or only evaluating the software quality aspects. This paper proposes an assessment model for Cloud ERP system, considering both software quality characteristics and cloud computing attributes to help strategic decision makers evaluate academic Cloud ERP system.
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Zhang, Yi, Bo Hu und YIwen Zhang. „Model-Driven Open Ecological Cloud Enterprise Resource Planning“. International Journal of Web Services Research 18, Nr. 3 (Juli 2021): 82–99. http://dx.doi.org/10.4018/ijwsr.2021070105.
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Cloud enterprise resource planning (Cloud ERP) is an internet- and cloud computing-based enterprise information system developed on the cloud platform. Cloud ERP has lower costs and shorter development time compared with traditional ERP system, but it remains in a state of information isolated island. To maximize the advantages of cloud computing and make up the deficiency of traditional ERP systems, it is necessary to break down the "wall" between enterprises, making cloud ERP enter a more open and interconnected ecological environment. The model-driven development approach contributes to a better resilient scheduling capability of ERP system, leading to faster development and deployment of it. In this article, the authors propose a “knowledge + data” model-driven open ecological cloud ERP and explain the definition and functions of each model layer. Finally, the effectiveness of model layers is demonstrated in the open ecological cloud ERP reference architecture.
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Mezghani, Karim. „Switching Toward Cloud ERP“. International Journal of Enterprise Information Systems 10, Nr. 3 (Juli 2014): 46–61. http://dx.doi.org/10.4018/ijeis.2014070104.
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This paper aims to develop a research model to explain managers' intentions to switch toward cloud based ERP (Enterprise Resources Planning). Indeed, as cloud computing is considered as a true revolution in Information Technologies field, ERP market is shaping toward more cloud based solutions. However, since cloud computing is presented as a risky alternative, cloud ERP adoption may faces reticence from managers. On the other hand, thanks to the benefits of such system associated to the known difficulties of On-Premises ERP, some managers would rather be motivated to switch to the cloud solution. Thus, from the proposed research model we attempt to present factors that influence managers' intentions to switch toward cloud ERP. By considering IT switching as a particular form of IT adoption, we based our literature review on Theory of planned behavior (TPB) to identify the determinants of switching. This review also allowed us to integrate the expected switching benefits and risks as antecedents and the personal innovativeness as a moderating factor. To contextualize our research model, we performed semi-structured interviews in four Saudi Small and medium enterprises (SMEs). The use of Nvivo 10 to codify and analyze the interviews content combined to a deep analysis of previous researches helped us to improve the research model by adding two additional factors: “top management support” considered as the main determinant of intentions and “satisfaction with actual system” as an important antecedent linked closely to switching.
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Zadeh, Amir Hassan, Bolaji Akinsola Akinyemi, Anand Jeyaraj und Hamed M. Zolbanin. „Cloud ERP Systems for Small-and-Medium Enterprises“. Journal of Cases on Information Technology 20, Nr. 4 (Oktober 2018): 53–70. http://dx.doi.org/10.4018/jcit.2018100104.
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Organizations recognize the need to adopt Enterprise Resource Planning (ERP) in order to become more competitive, efficient, and productive, although the adoption and implementation of an ERP system is a costly and risky endeavor. Recently, cloud computing has become a viable and competitive means by which most organizations, especially Small and Medium-sized Enterprises (SMEs), can implement an ERP system in a short time frame and cost-effective way. The authors' research examines the feasibility of cloud-based ERP systems for SMEs through a case study. The case emphasizes the potential of cloud-based ERP systems for SMEs as well as some of the challenges and peculiarities involved in their efforts to obtain an affordable and versatile ERP system. Their findings can potentially guide SMEs to make well-informed decisions throughout their cloud-based ERP adoption process.
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SUBRAMANIAM, ARUNACHALAM, ALSADI MOHAMMAD und EDOH ALOYSIUS. „CLOUD-BASED ERP FOR ARAB MANUFACTURING FIRMS“. i-manager’s Journal on Cloud Computing 3, Nr. 4 (2016): 1. http://dx.doi.org/10.26634/jcc.3.4.13592.
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H.L., Meghana, Asish Oommen Mathew und Lewlyn L. R. Rodrigues. „Prioritizing the factors affecting cloud ERP adoption – an analytic hierarchy process approach“. International Journal of Emerging Markets 13, Nr. 6 (29.11.2018): 1559–77. http://dx.doi.org/10.1108/ijoem-10-2017-0404.
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Purpose In today’s competitive world, the adoption of cloud enterprise resource planning (ERP) has become one of the critical criteria for running a successful business. In this regard, knowing the factors that influence cloud ERP adoption plays a significant role. The purpose of this paper is to rank the factors influencing the cloud ERP adoption in multi-national companies (MNCs) in India. This research would enable the cloud ERP vendors to identify the expectations of MNC customers and develop suitable strategies. Design/methodology/approach The research is being conducted among the cloud ERP consultants of designation middle managers and above from 29 different ERP consulting firms located in India. Analytical hierarchical processing approach was used to rank the factors influencing the cloud ERP adoption in MNCs located in India. The primary factors considered for this study are usability, assurance, agility, security and privacy, and vendor-related factors. Findings The three most preferred criteria were usability, assurance and agility. The five most preferred sub-criteria were data accessibility, availability, user friendliness, scalability, and data backup and recovery. Research limitations/implications The study is limited to the perspective of cloud ERP consultants in India. Practical implications The outcome of this research provides cloud ERP vendors with a better understanding of factors that influence the adoption of cloud ERP in MNCs so that they can develop a focused strategy. From the MNCs point of view, the study provides a guideline on what factors they should consider while going for a cloud ERP implementation. Originality/value The research model is developed based on the cloud ERP literature, and the research results and findings would add value to the body of knowledge.
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Awan, Mujtaba, Niamat Ullah, Sikandar Ali, Irshad Ahmed Abbasi, Muhammad Shabbir Hassan, Hizbullah Khattak und Jiwei Huang. „An Empirical Investigation of the Challenges of Cloud-Based ERP Adoption in Pakistani SMEs“. Scientific Programming 2021 (31.03.2021): 1–8. http://dx.doi.org/10.1155/2021/5547237.
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Cloud-based ERP solutions offer many benefits to small and medium enterprises (SMEs) and help them to integrate their activities, such as improve communications and reduce operational and maintenance costs. Primarily, it was only adopted by large organizations, but now SMEs are also keen on adoption. However, the motivation regarding the adoption of these systems in SMEs is relatively low in developing countries. This fact urges us to investigate the challenges faced by Pakistani SMEs. A qualitative research approach along with unstructured interviews was conducted by means of face to face. Interview methods are used to extract understanding, opinions, and challenges faced by SMEs on their way to adopt the cloud-based ERP system. The data were collected from eight well-reputed organizations, directly involved in the adoption. The study found ten (10) themes that are reluctant to adopt cloud ERP among Pakistani SMEs. The main benefit of these themes is to provide results that can be easily accessible to enterprises who want to adopt a cloud-based ERP. This can also contribute to the lack of the literature of cloud ERP and delivers insight for future study by practitioners and researchers.
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Cheng, Yung-Ming. „Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective“. Benchmarking: An International Journal 27, Nr. 4 (03.04.2020): 1591–614. http://dx.doi.org/10.1108/bij-05-2019-0208.
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PurposeThis study's purpose is to propose a hybrid model based on expectation-confirmation model (ECM) and technology acceptance model (TAM) to examine whether organizational users' perceived task-technology fit (TTF) in cloud enterprise resource planning (ERP) as an antecedent to user beliefs can directly and indirectly affect their continuance intention of cloud ERP and individual performance.Design/methodology/approachSample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 500 questionnaires were distributed in the 50 sample companies, and 355 (71.0%) usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study showed that organizational users' perceived TTF contributed positively to their perceived usefulness, confirmation and perceived ease of use of cloud ERP, which in turn directly and indirectly led to their satisfaction with cloud ERP, continuance intention of cloud ERP and individual performance; that is, this study's findings strongly supported the research model integrating ECM, TAM and TTF model with all hypothesized links being significant.Originality/valueThis study contributes to an understanding of the TTF model in explaining organizational users' cloud ERP continuance intention that is difficult to explain with only their utilitarian perceptions of cloud ERP. Further, it is especially worth mentioning that this study places considerably more emphasis upon organizational users' individual performance greatly driven by their perceived TTF in cloud ERP and continuance intention of cloud ERP. Thus, this study's empirical evidence on incorporating ECM, TAM and TTF model can significantly enhance better understanding of the outcomes for cloud ERP continuance intention and shed light on the possible formulation of a richer post-adoption model.
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Kanade, Shruti Makarand. „Improvements in Web Based ERP Software Architecture as Implemented on the Cloud“. International Journal of Advanced Research in Computer Science and Software Engineering 7, Nr. 11 (30.11.2017): 22. http://dx.doi.org/10.23956/ijarcsse.v7i11.425.
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Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.
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Saputra, Mas'ud Adhi, Yunita Prabowo und Wahjoe Witjaksono. „CLOUD ERP SOFTWARE SUITABILITY ANALYSIS FOR AUTOMOTIVE COMPONENTS SMALL AND MEDIUM INDUSTRY USING ANALYTICAL HIERARCHY PROCESS“. Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi 10, Nr. 2 (09.12.2019): 1. http://dx.doi.org/10.17933/mti.v10i2.154.
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Small and Medium Industry (SMI) is a form of business activity that is not only limited to the business of buying and selling, but there are activities of production process, simple organizational management, and cooperation with other parties. SMI has limited in terms of cost and management of human resources in improving company performance. With the tight competition of the automotive component industry, there needs a strategy to manage SMIs effectively and efficiently. Information Technology (IT) plays a very significant role in actualizing that. Many of automotive component SMIs in Indonesia still run the companies in conventional ways. Though of course, IT is able to make company management better, through the use of Enterprise Resource Planning (ERP) software. The problem statement in this study is the selection of cloud-based ERP software that is suitable for the automotive component SMI. With the cloud-based ERP, automotive component SMIs have a centralized system. To reduce implementation costs, recommended ERP software is open source. In determining the priority of cloud-based ERP software criteria using the Analytical Hierarchy Process (AHP) method. AHP is used to compare three candidates for cloud-based ERP software, namely Odoo, Idempiere and xTuple. The results obtained that Odoo ranks highest compared to two other software candidates. This shows that Odoo is considered to be able to meet the needs of automotive component SMIs for the needs of cloud-based ERP software.
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Nan Yang, Dongbo Li und Yifei Tong. „A Cloud Computing-Based ERP System under The Cloud Manufacturing Environment“. International Journal of Digital Content Technology and its Applications 6, Nr. 23 (31.12.2012): 126–34. http://dx.doi.org/10.4156/jdcta.vol6.issue23.15.
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Bhatti, Tariq. „Influences on adoption of cloud-based ERP systems in SMEs: The technological-organizational-environmental framework“. Corporate Ownership and Control 15 (2017): 370–80. http://dx.doi.org/10.22495/cocv15i1c2p6.
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This paper examines the factors affecting adoption of cloud-based enterprise resource planning (ERP) systems by UAE SMEs using one of the theories of Diffusion of Innovation (DOI). The technology-organization-environment (TOE) framework used in this study integrates factors in the technological, environmental and organizational contexts of organizations. Data were collected from a random sample of 105 SMEs from UAE. Descriptive and inferential techniques were used to analyze the data. The results identified relative advantage, top management support, technology readiness, competitive pressure and trading partner pressure as key determinants that influence the adoption of cloud-based ERP systems by SMEs. The findings can be useful to service providers and cloud computing providers to better understand what affects cloud-based ERP system adoption and to develop marketing strategies to improve their interaction with enterprises.
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Chang, Yu-Wei. „What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors“. Journal of Enterprise Information Management 33, Nr. 3 (01.04.2020): 600–626. http://dx.doi.org/10.1108/jeim-06-2019-0148.
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PurposeSwitching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of incumbent systems and uncertainty costs of cloud systems. The purpose of this study is to investigate the enablers and inhibitors concerning switching to cloud ERP systems at the organizational level.Design/methodology/approachData were collected from 212 top managers and owners of the enterprises in Taiwan, and 10 hypotheses were examined using structural equation modeling.FindingsTechnological (system quality), organizational (financial advantage), and environmental contexts (industry pressure) are found to be the antecedents of switching benefits. Perceived risk of cloud ERP systems and satisfaction with and breadth of use of incumbent ERP systems are found to be the predictors of switching costs. Switching benefits positively affect switching intention, but switching costs negatively affect switching intention.Research limitations/implicationsThis study develops a theoretical model grounded in a set of theoretical foundations, including two-factor theory, technology-organization-environment (TOE) framework, information systems (IS) success model, and expectation confirmation theory (ECT). Two-factor theory is used to characterize switching benefits and costs that affect switching intention. Technological factors come from IS success model, and the factors affecting benefits are organized based on TOE framework. Sunk costs of incumbent ERP systems are developed based on ECT.Originality/valueDifferent from previous studies on cloud computing adoption, this study provides insights into switching intention to cloud computing. The study also proposes an integrated model grounded in multiple perspectives to explain organizations' decisions to switch to cloud ERP systems. These findings help cloud service providers better understand how to promote cloud ERP adoption from technical, organizational, and environmental perspectives.
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Gupta, Shivam, Xiaoyan Qian, Bharat Bhushan und Zongwei Luo. „Role of cloud ERP and big data on firm performance: a dynamic capability view theory perspective“. Management Decision 57, Nr. 8 (12.09.2019): 1857–82. http://dx.doi.org/10.1108/md-06-2018-0633.
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Purpose Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT infrastructure, trained manpower for implementation and maintenance and updating the systems regularly to maintain business competitiveness. Plug and play model offered by cloud ERP has led to a constant creation of large data sets which are structured, semi-structured and unstructured by nature. Thus, there has been a need to analyze such complex data sets and the purpose of this paper is to focus on how cloud ERP and big data predictive analytics (BDPA) will impact the performance of a firm. Design/methodology/approach A dynamic capability view (DCV) theory-based model was developed and the authors have collected data by using an online questionnaire from India. Thereafter, the authors have analyzed it by employing structural equation modeling. Findings SEM analysis of 231 respondents showcases that the use of DCV theory to define the relationships of cloud ERP and BDPA has been the right move. Out of the 13 hypotheses empirically tested, only 7 hypotheses were supported by the data. Research limitations/implications The study showcases cross-sectional data from India. It would be interesting for this study to see if the country-level differences would influence these relationships between cloud ERP and financial performance, BDPA and financial performance and cloud ERP and BDPA. Originality/value This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory.
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Lv, Taizhi, Jun Zhang und Yong Chen. „Research of ERP Platform based on Cloud Computing“. IOP Conference Series: Materials Science and Engineering 394 (08.08.2018): 042004. http://dx.doi.org/10.1088/1757-899x/394/4/042004.
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Weli, Weli. „Re-examination and expanding the EUCS Model on Cloud-based ERP system“. Journal of information and organizational sciences 45, Nr. 1 (15.06.2021): 115–35. http://dx.doi.org/10.31341/jios.45.1.7.
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The end-user computing satisfaction model (EUCS) has been widely used in previous studies, and Enterprise Resource Planning. Therefore, Enterprise Resource Planning (ERP) System, need to be developed in accordance with cloud computing that dominate current information technology devices. This study was carried out to test the expansion of the EUCS model in a cloud-based ERP system. Therefore, the purpose of this research is to re-examine the validity and reliability of the computer application satisfaction model and its relationship with user performance in cloud-based ERP system. The overall satisfaction variable is added as a mediation between the satisfaction model and user performance. Data was collected through snowball sampling with a questionnaire distributed to the cloud-based ERP users. Additionally, data processing was conducted using the Second-order concept in structural equation modeling with the Partial Least Square approach. Since data processing using WarpPLS confirmed the validity and reliability of the model and all relationships between variables, this research contributes theoretically to the study of end-user satisfaction from information technology applications. Its final section describes the limitations and opportunities for future research.
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Hinduja, Akshay, und Manju Pandey. „An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs“. International Journal of Information Technology & Decision Making 18, Nr. 06 (November 2019): 1875–908. http://dx.doi.org/10.1142/s0219622019500378.
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ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.
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Usman, Usman Musa Zakari, Mohammad Nazir Ahmad und Nor Hidayati Zakaria. „The Determinants of Adoption of Cloud-Based ERP of Nigerian's SMES Manufacturing Sector Using Toe Framework and Doi Theory“. International Journal of Enterprise Information Systems 15, Nr. 3 (Juli 2019): 27–43. http://dx.doi.org/10.4018/ijeis.2019070102.
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Adoption factors relating to enterprise resource planning (ERP) have been studied quite extensively over the years. Most of the earlier studies on cloud ERP have focused only on technical and operational issues. A few studies have addressed the adoption of cloud ERP from the user's perspective, mostly assessing the effects of the innovation characteristics or the contextual factors. Very few studies to date have conducted a holistic evaluation of both the direct and indirect effects of the determinants on cloud ERP adoption in manufacturing SMEs. Therefore, this study aims to explore and gain an understanding of the determinants of adoption factors for cloud ERP and its relative advantage to small and medium enterprises (SME) organisations. The manufacturing SMEs in Nigeria are specifically targeted. This study also seeks to develop a research model that integrates the innovation characteristics and technology-organisation-environment (TOE) perspectives that underlie its adoption.
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Cheng, Yung-Ming. „A hybrid model for exploring the antecedents of cloud ERP continuance“. International Journal of Web Information Systems 15, Nr. 2 (17.06.2019): 215–35. http://dx.doi.org/10.1108/ijwis-07-2018-0056.
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Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.
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Gupta, Shivam, Sameer Kumar, Sanjay Kumar Singh, Cyril Foropon und Charu Chandra. „Role of cloud ERP on the performance of an organization“. International Journal of Logistics Management 29, Nr. 2 (14.05.2018): 659–75. http://dx.doi.org/10.1108/ijlm-07-2017-0192.
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PurposeCloud-based enterprise resource planning (ERP) enables an organization to pay for the services they need and removes the need to maintain information technology infrastructure. The purpose of this paper is to empirically test the role of cloud-based ERP services on the performance of an organization. Here, the performance is categorized as supply chain performance and organizational performance that comprises of financial performance and marketing performance. Contingent resource-based view (RBV) theory was used to develop a theoretical framework in which supply base complexity (SBC) acts as a moderating variable on the relationship between cloud ERP and the performance.Design/methodology/approachContingent RBV theory is used to explain the relationship between all identified variables in this paper. Partial least squares (PLS) based on structural equation modeling (SEM) is used to empirically test our theoretical framework.FindingsThe PLS-SEM analysis of 154 respondents supports the contingent RBV theory. Six hypotheses – out of the eight hypotheses formulated in this paper – are supported by data.Research limitations/implicationsGiven this study was conducted in India where the potential of cloud ERP has not been fully implemented yet, the results may reflect more of perceived usefulness of this technology. The authors have attempted to understand the effect of SBC as a moderator in the relationship between cloud ERP and organizational performance which may not be the only moderator affecting this relationship among other potential moderators.Originality/valueThis paper empirically validates the theoretical framework based on the contingent RBV theory as it mitigates the static nature of the resource-based view approach suggested in the seminal article of Barney (1991).
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Gupta, Shivam, Subhas C. Misra, Ned Kock und David Roubaud. „Organizational, technological and extrinsic factors in the implementation of cloud ERP in SMEs“. Journal of Organizational Change Management 31, Nr. 1 (12.02.2018): 83–102. http://dx.doi.org/10.1108/jocm-06-2017-0230.
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Purpose Use of cloud-based enterprise resource planning (ERP) services equips an SME to forego the requirements of high financial budget, IT infrastructure, and trained IT personnel as it is required for on-premise ERP solution. The purpose of this paper is to analyze the organizational and technological factors as well as the factors that concern the performance of cloud service provider. These concerns are known as extrinsic factors and they are compliance, network, and information security. This study links the organizational and technological factors of SMEs and the extrinsic factors of cloud vendor for the successful implementation of cloud ERP. Design/methodology/approach Resource dependence theory (RDT) was used to understand the relationship of SMEs and cloud service provider. Structural equation modeling was employed in analyzing the data of 208 SMEs that were collected through a survey. Findings The empirical analysis supports the RDT as the critical success factors of the SMEs have a positive relationship with the extrinsic factors (compliance, network, and information security) during the cloud ERP implementation. Research limitations/implications The data collected in this study is from India and this acts as a limitation as the result might not hold true for other countries and regions. Also, the data collected are cross-sectional and only represent the perspective of the respondents at the time of filling the questionnaire. Originality/value This paper attempts to bring out a relationship between SMEs and cloud service provider for the successful implementation of cloud ERP.
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Chang, Yu-Wei, Ping-Yu Hsu, Wen-Lung Shiau und Ming-Chia Hsu. „An Empirical Study on Factors Affecting Switching Intention to Cloud Enterprise Resource Planning“. Journal of Global Information Management 27, Nr. 4 (Oktober 2019): 46–69. http://dx.doi.org/10.4018/jgim.2019100103.
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With the diffusion of cloud computing, public and private enterprise resource planning (ERP) have received increasing attention. However, several prior studies have investigated the factors that affect cloud system adoption for either public or private cloud systems. This article attempts to compare public and private cloud ERP. A research model is developed based on Two-Factor Theory and empirically test our hypotheses by collecting 253 public cloud samples and 227 private cloud samples. The results show that system quality and perceived ease of use positively affect switching benefits, which in turn positively affect switching intention. Security risk, satisfaction, and breadth of use positively affect switching costs. The moderating effects of public and private clouds affect the relationships between perceived ease of use and switching benefits, between breadth of use and switching costs, and between switching costs and switching intention. The findings offer suggestions for promoting organizations to switch to cloud public and private ERP.
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Chang, Yu-Wei, und Ping-Yu Hsu. „An empirical investigation of organizations’ switching intention to cloud enterprise resource planning: a cost-benefit perspective“. Information Development 35, Nr. 2 (20.11.2017): 290–302. http://dx.doi.org/10.1177/0266666917743287.
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Although cloud computing has a number of benefits, privacy risks play a critical role in organizations’ decisions to switch to cloud services. However, few studies on cloud adoption have investigated effects of both benefits and costs on switching intention. Based on cost-benefit analysis and technology acceptance model, this study develops a research model to investigate how benefits (perceived usefulness and perceived ease of use) and costs (perceived risk and privacy concerns) influence organizations’ switching intention to cloud Enterprise Resource Planning (ERP). The model also accounts for trust and perceived control in the context of cloud computing. Perceived usefulness, perceived ease of use, and privacy concerns significantly affect switching intention. Trust can enhance perceived usefulness and perceived ease of use and reduce perceived risk. Perceived control can also reduce perceived risk and privacy concerns. The findings are useful to understand switching issues from traditional ERP to cloud ERP for both researchers and practitioners.
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Vimalkumar, P. „Implementation of Erp in Business Process Based On Cloud Computing“. IOSR Journal of Business and Management 3, Nr. 1 (2012): 45–50. http://dx.doi.org/10.9790/487x-0314550.
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Chang, Qi Zhi, Zhang You Hu, Xiao Hui Weng und Li Ding. „Pharmaceutical Companies SaaS Cloud Services Management Platform Based Design and Application“. Advanced Materials Research 1030-1032 (September 2014): 1913–18. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1913.
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Summery: The pharmaceutical enterprise SaaS is based on the cloud services, the management platform follows the newest GMP criterion and ERP project matchmaking of modern enterprise. In carrying through it, high efficiency, low costs, simplified management, easy maintain, all these achieve idea of platform SaaS. The scope of implementation is based on the related pharmaceutical enterprise in Jilin province.
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AL-Shboul, Moh’d Anwer. „Towards better understanding of determinants logistical factors in SMEs for cloud ERP adoption in developing economies“. Business Process Management Journal 25, Nr. 5 (02.09.2019): 887–907. http://dx.doi.org/10.1108/bpmj-01-2018-0004.
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PurposeThe purpose of this paper is to investigate the main determinants logistical factors that have an impact on the adoption of cloud enterprise resource planning (ERP) among small- and medium-sized enterprises (SMEs) in developing economies. By adopting the diffusion of innovation, technological, organizational and environmental model as a theoretical framework, the 14 factors examined in this study are as follows: relative advantage (RA), compatibility, complexity, value creation, technology readiness (TR), security concerns, technical barriers, top management support (TMS), enterprise readiness (ER), enterprise size (ES), enterprise status, competitive advantage, government support and infrastructure/telecommunication.Design/methodology/approachData were collected from 131 respondents’ senior executives and IT managers in SMEs in developing economies (Jordan, Lebanon, King Saudi Arabia, Bahrain, Qatar, Emirates, Egypt, Oman, Kuwait and Turkey). A web-based survey questionnaire was used for data collection process. The research framework and the derived hypotheses were tested by logistic regression analysis.FindingsThe findings indicate that compatibility, TR, technical barriers, TMS, ER, ES and competitive pressure have a significant effect on the adoption of cloud ERP. This conclusion can be utilized in enhancing the strategies for approaching ERP cloud by pinpointing the reasons why some SMEs choose to adopt this technology, while others still do not go forward with this.Originality/valueThis study provides an overview and empirically shows the main determinants logistical factors that might face SMEs in the developing economies. The findings also help SMEs consider their information technologies investments when they think to adopt cloud ERP.
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Et.al, Siti Aisyah Salim. „Towards a Nuanced Explanation of Cloud ERP Adoption in SMES“. Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, Nr. 3 (11.04.2021): 1074–80. http://dx.doi.org/10.17762/turcomat.v12i3.844.
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This study presents a longitudinal model for investigating cloud ERP adoption. Previous work on technology adoption mostly has investigated adoption by looking at one specific phase of adoption. However, we argue that the cross-sectional research design does not sufficiently represent the complexity and the highly volatile process of adoption as a whole. Based on an archival analysis of eighty-seven firm level technology adoption studies, we identified 24 transition factors (TF) contributing to the adoption of information technology. Building on Rogers’ Diffusion of Innovations theory (1995) this research attempts to explore which transition factors are relevant in the distinct phases of cloud ERP adoption. In our work, we model the transition factors as “triggers”, where the desirable outcomes of the transition factor within a specific phase of adoption, will lead to the next stage adoption. The contribution of the paper is twofold. First, we make a context-specific contribution by extracting the different factors which have been studied in the context of cloud ERP systems and categorizing them according to the Diffusion of Innovations theory. Second, we also make a theoretical contribution by employing a longitudinal research design.
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Wang, Yunsen, und Alexander Kogan. „Cloud-Based In-Memory Columnar Database Architecture for Continuous Audit Analytics“. Journal of Information Systems 34, Nr. 2 (02.08.2019): 87–107. http://dx.doi.org/10.2308/isys-52531.
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ABSTRACT This study introduces the database architecture that manages data in the main physical memory using columnar format. It proposes a conceptual framework for applying the in-memory columnar database systems to support high-speed continuous audit analytics. To evaluate the proposed framework, this study develops a prototype and conducts simulation tests. The test results show high computational efficiency and effectiveness of the in-memory columnar database relative to the conventional ERP system. Furthermore, the deployment of the in-memory columnar database to the cloud shows the promise of scaling up the in-memory columnar database for continuous audit analytics.
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A. Al-Johani, Ahmed, und Ahmed E. Youssef. „A Framework for ERP Systems in SME Based on Cloud Computing Technology“. International Journal on Cloud Computing: Services and Architecture 3, Nr. 3 (30.06.2013): 1–14. http://dx.doi.org/10.5121/ijccsa.2013.3301.
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Bhatia, Sarvjit Singh, und Vikram Gupta. „Principles and practices for the implementation of Cloud based ERP in SMEs“. MATEC Web of Conferences 57 (2016): 02010. http://dx.doi.org/10.1051/matecconf/20165702010.
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Temur, Gül Tekin, und Bersam Bolat. „A robust MCDM approach for ERP system selection under uncertain environment based on worst case scenario“. Journal of Enterprise Information Management 31, Nr. 3 (09.04.2018): 405–25. http://dx.doi.org/10.1108/jeim-12-2017-0175.
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Purpose ERP selection is a multi-faceted process and needs to be successful in dealing with high uncertainty. The purpose of this paper is to propose a novel multi-criteria decision making (MCDM) approach, titled as cloud-based design optimization (CBDO), for ERP selection problem to handle high uncertainty with a computationally effective way. Design/methodology/approach CBDO has been utilized as an alternative method to fuzzy set theory and stochastic programming, and proposes robust findings for worst case scenario. In order to assess the proposed methodology, a numerical study is conducted by taking into account existing state-of-the-art study on the ERP selection problem for the small medium enterprises. The outputs of the existing state-of-the-art study are assumed as uncertain and varying across time as it is expected in real life; therefore, different scenarios are created in order to reveal the effect of uncertainty on decisions. Findings In the methodology, the results given under uncertain conditions are compared with the results obtained under stable conditions. It is clearly seen that ERP system selection problem area has high sensitivity to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during the ERP system selection process, especially within volatile economies. Originality/value This study contributes to the relevant literature by utilizing CBDO as a MCDM tool in the selection of the ERP software as a first time, and validating the impact of unsteadiness on the ERP selection procedure. It is the first CBDO-based study that validates the effect of distributional differences on uncertainties in the ERP selection processes.
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Wen, Yong. „Research and Implementation of Intelligent ERP Platform for SMEs Based on Cloud Computing“. IOP Conference Series: Materials Science and Engineering 646 (17.10.2019): 012014. http://dx.doi.org/10.1088/1757-899x/646/1/012014.
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Wijaya, Marcel, und Wawan Dhewanto. „Propose Customer Development Framework for Cloud-Based Enterprise Resource Planning (ERP) Start-up“. Asian Journal of Technology Management (AJTM) 12, Nr. 2 (2019): 103–17. http://dx.doi.org/10.12695/ajtm.2019.12.2.3.
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Reffad, Hamza, und Adel Alti. „New Approach for Optimal Semantic-Based Context-Aware Cloud Service Composition for ERP“. New Generation Computing 36, Nr. 4 (24.07.2018): 307–47. http://dx.doi.org/10.1007/s00354-018-0036-4.
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Board, Editorial. „Deskera is a Truly Make in India ERP Software Product Company Developed and Managed by a Group of IITians“. Global Journal of Enterprise Information System 9, Nr. 2 (28.06.2017): 140. http://dx.doi.org/10.18311/gjeis/2017/16183.
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Deskera is a truly make in India ERP Software product company developed and managed by a group of IITians. It is one of the fastest growing ERP business software provider in Asia Pacific. Deskera was recognized as the #1 Integrated Business Applications as a Service (SaaS) provider in the South East Asian market by Frost & Sullivan. Deskera is developed in India at Pune based development Centre – where an expert team of developers and business analysts ensure that world class cloud software is developed, managed and deployed for the entire South East Asian market.
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López Vargas, Cristina, und Jenifer López García. „Evaluating the impact of ERP systems on SC performance with ISM“. WPOM-Working Papers on Operations Management 8 (07.06.2017): 101. http://dx.doi.org/10.4995/wpom.v8i0.7183.
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<p class="Abstract">Most companies nowadays have already implemented on-premise or cloud -based ERP systems into their IT infraestrutures. These packages allow firms to integrate, standardize and execute the whole business processes in real time, improving their productivity and operational efficiency. Previous studies highlight their beneficial effects go beyond the single firm. Indeed, ERP system can assist supply‐chain partners to work in close coordination. In order to reach a better understanding in this matter, the present study aims to develop a comprehensive framework. This will represent the benefits derived from ERP adoption in Supply Chain performance. In doing so, we applied an interpretive structural modelling (ISM). Finally, we provide a case study that explores the viability of this framework.</p>
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Katuu, Shadrack. „Trends in the Enterprise Resource Planning Market Landscape“. Journal of information and organizational sciences 45, Nr. 1 (15.06.2021): 55–75. http://dx.doi.org/10.31341/jios.45.1.4.
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This article provides a brief discussion of ERPs, including how they can be defined, their component parts, and the evolution of technologies since the 1940s. The article then offers a general overview of the current ERP vendor market landscape based on academic journals and industry reports. The article’s methodological approach is a review of both academic literature and industry expert reports, which the author performed to trace trends within the landscape. Results of the analysis demonstrate that the rapidly evolving market landscape dates back at least six decades, and there are many large, longstanding ERP vendors. Yet, opportunities like cloud computing may result in niche products in existing industry players or through start-ups. Nonetheless, technologies such as blockchain are emerging. It remains to be seen how they will impact the ERP market.
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Mehta, Sunaina, Ashish Oberoi und Sarvjit Singh Bhatia. „A Cloud based Assurance Framework for Implementation of ERP in SMEs A Literature Survey“. International Journal of Computer Sciences and Engineering 6, Nr. 9 (30.09.2018): 819–29. http://dx.doi.org/10.26438/ijcse/v6i9.819829.
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Mahmood, Faisal, Abdul Zahid Khan und Rahat Hussain Bokhari. „ERP issues and challenges: a research synthesis“. Kybernetes 49, Nr. 3 (13.11.2019): 629–59. http://dx.doi.org/10.1108/k-12-2018-0699.
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Purpose Despite more than two decades of experience regarding the adoption and implementation of enterprise resource planning (ERP) systems in organizations, ERPs success is questionable. Though ERPs success stories are published in past research studies, the failure rate of ERP systems is relatively high. The purpose of this study was to find issues and challenges and assess the degree of criticality of these issues/challenges faced by organizations during ERP implementation. Design/methodology/approach For doing systematic review/research synthesis systematic literature review (SLR) was carried out considering research studies published within the time period, i.e. 1999-2018. Three major steps such as planning, conducting and reporting were followed to proceed further in this study. This study attempted to accomplish a critical review of 53 studies out of 103 studies identified, which were published in reputable journals to synthesize the existing literature in the ERP domain. The studies selected have almost addressed different challenges/issues faced by small and large organizations during ERP implementation. Findings Research synthesis/SLR led to the identification of 31 issues/challenges, which may be termed as most critical based on their occurrence/frequency in past studies included. The topmost ten issues/challenges amongst 31 identified include top management approach, change management, training and development, effective communication, system integration, business process reengineering, consultants/vendors selection, project management, project team formation, team empowerment/skilled people and data conversing/migration. However, other issues/challenges identified such as security risks/data security, cloud awareness, functionality limitations, service level agreements and subscription expenses are more related to cloud ERPs. Originality/value The current study is unique in its kind, focusing on the issues and challenges faced by organization during implementing ERP projects. Moreover, this study contributes to understanding and further analyzing management capabilities for developing remedial measures while planning the implementation of an enterprise system in their organizations prior to the occurrence of different issues and challenges ahead. The study also led to understanding and explaining socio-technical issues and their severity.
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Chawla, Nitin, Deepak Kumar und Dinesh Kumar Sharma. „Improving Cost for Data Migration in Cloud Computing Using Genetic Algorithm“. International Journal of Software Innovation 8, Nr. 3 (Juli 2020): 69–81. http://dx.doi.org/10.4018/ijsi.2020070105.
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Cloud computing is gradually increasing its popularity in enterprise-wide organizations. Information technology organizations e.g., IBM, Microsoft, and Amazon have already shifted towards Cloud computing. Cloud-based offerings such as Software as a Service, Platform as a Service and Infrastructure as a Service (IAAS) are the most famous offerings. Most of the existing enterprise applications are deployed using an on-premise model. Organizations are looking for Cloud based offerings to deploy or upgrade their existing applications. SAP, Microsoft Dynamics, and Oracle are the most famous ERP or CRM application OEMs. These enterprise applications generate lots of data are hosted in an organization or on client data centers. Moving data from one data center to the Cloud is always a challenging tasks which cost a lot and takes much effort. This study proposes an efficient approach to optimize cost for data migration in cloud computing. This study also proposes the approach to optimize cost for data collection from multiple locations which can be processed centrally and then migrate to Cloud Computing.
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Khokle, Prachi. „Impact of Enterprise Resource Management System on Industrial Revolution 4.0“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VI (30.06.2021): 4772–74. http://dx.doi.org/10.22214/ijraset.2021.35689.
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The world is going through its fourth industrial revolution right now. Managing large workspaces in big Enterprises has been made easy with the advent of particular software categories popularly known as ERP short for Enterprise Resource Planner. With ERPs, management of data from all kinds of fields of work like finance, operations, sales, manufacturing, marketing, sales, pre-sales/post-sales, HR, etc are easy now. What’s even more enticing about it all is that all of this can now be stored on Cloud storage and can be acces-sed from pretty much any device. This makes it incredibly easy for business owners to manage their enterprise from anywhere in the world, anytime. Our project tries to demonstrate the impact of the ERP software ecosystem using a prototypeERP system built using Codeigniter Framework built on PHP, and a front-end based on boot-strap with a comprehensive My-sql database and a Google Cloud Infrastructure. Our Project will make use of some open-source repositories and build on it a working prototype that can manage the data of a fictitious company.
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Tai, Yu-Ting, Chia-Hui Huang und Shun-Chieh Chuang. „The construction of a mobile business application system for ERP“. Kybernetes 45, Nr. 1 (11.01.2016): 141–57. http://dx.doi.org/10.1108/k-02-2015-0041.
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Purpose – In today’s complicated and competitive business environment, companies commonly use enterprise resource planning (ERP) systems to integrate management information and enhance efficiency. In recent years, due to the development of cloud computing and portable devices, a new mobility era is starting. The popularity of smartphones and tablet computers has changed the behavior of mobile-phone users and enhanced the rapid development of mobile commerce. ERP companies have discovered this trend and want to provide more convenient services and develop more integrated functions for their ERP systems in which practitioners can operate and access company information through various mobile devices anywhere, anytime. However, mobile ERP is still in the development stage. On the whole there has been relatively little research into the framework and system implementation of mobile ERP until recently. The purpose of this paper is to propose a mobile ERP framework for the sales function in an ERP system. The authors also design a mobile type sales application based on an android-based mobile device. In addition, the authors provide sale practitioners and supervisors with a more convenient and rapider service interface in which they can quickly respond to customers’ needs. Design/methodology/approach – The authors develop a mobile ERP framework taking into account the requirements of sales and distribution modules. The proposed framework can directly access the ERP system and perform more efficiently than a web service-based framework since middleware services are not involved. Findings – For the purposes of demonstrating the efficiency of the proposed mobile ERP system, the authors examine three scenarios which are commonly used in world-wide integrated circuit (IC) design companies. In this kind of company, salespersons travel to various cities and collect sales information. The three various scenarios include: (A) sales order creation; (B) order status inquiry; (C) order modification. The results of simulation show that the mobile ERP system indeed enhances the efficiency of processing operations in sales and distribution modules, particularly for salespersons visiting outside offices and traveling world-wide. Research limitations/implications – The authors investigate and propose a mobile ERP framework for a world-wide ERP system company, SAP, which is a research limitation in the paper, since SAP ERP system is not installed for all companies. In addition, from this investigation, two possible concerns might be useful in further research. The first involves other modules may be included in the proposed mobile ERP framework. The second is the need to integrate other useful analysis systems, such as business intelligence, for a more complete mobile ERP system. Practical implications – To demonstrate the efficiency of the proposed mobile ERP system, three various scenarios which are commonly used in world-wide IC design companies are considered. In addition, the comparisons of the typical procedures in terms of average processing time for existing ERP systems and the proposed mobile ERP system are provided. The simulation times finding show that the mobile ERP system indeed enhances the efficiency of processing operations in sales and distribution modules, particularly for the salespersons visiting outside offices and traveling world-wide. Social implications – The popularity of smartphones and tablet computers has changed the behavior of mobile-phone users and enhanced the rapid development of mobile commerce. Mobile ERP systems can provide more up-to-date information than typical ERP systems involving order-tracking, real-time stock quantity checking, and sales order creations since salespersons still can access or update their collected information wherever they are world-wide. The contributions of this paper have a great impact on behavior changes of mobile-phone users. It can enhance efficiency and quality of life for users. Originality/value – In the paper, the authors propose a mobile ERP framework for the sales function which can provide sale practitioners and supervisors a more convenient and rapider service interface in which they can quickly respond to customers’ needs. The proposed framework of mobile ERP perform more efficiently than typical ERP systems and a web service-based framework since middleware services are not involved.
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Kanade, Shruti Makarand. „Extending the Enterprise Using Enterprise Application Integration (EAI) Technologies for the Cloud“. International Journal of Applied Evolutionary Computation 10, Nr. 2 (April 2019): 37–42. http://dx.doi.org/10.4018/ijaec.2019040105.
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It is widely understood that Information Technology (IT) and Information Systems (IS) provide great benefits in improving visibility of supply and value chains within and across organizations. One method to achieve this has been to integrate Enterprise Resource Planning (ERP) systems with web-based and other technologies using EAI technologies. This article seeks to study EAI technologies with reference to the SaaS model of cloud computing. It also gives an example of how EAI can be made functional across the enterprise even with applications having different platforms, technologies and programming languages. The advantages, disadvantages and issues of EAI applications are listed.
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Gaverineni Siva Ratna Kiran, R., und Jammal Madaka Kodanda Rama Sastry. „NOVEL APPROACH FOR BEST SIGNAL PROCESSING AND NETWORK STRUCTURE TO IMPROVE CLOUD ERP RELIABILITY AND HIGH SPEED“. International Journal of Advanced Research 9, Nr. 09 (30.09.2021): 93–105. http://dx.doi.org/10.21474/ijar01/13380.
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If the companies face difficulties in using ERP systems because of its complicated integrating and customising functions, the company can consider some other software for processing their data. On the other hand, those who are using ERP system should make precise settings for providing accurate data and timely service. An error-free network structure must be maintained by cloud ERP systems for providing enhanced service. Based on the network structure and best optimization methods, it must focus on nodes, clusters, LANs, and WANs. The novel data pre-processing consists of three core areas, and they are Pattern Recognition, Data Clustering, and Signal Processing. In this paper, Dynamic cluster formation and pattern recognition are given special weightage. For offering high-speed data transactions with data shrinking, Hybrid dynamic clustering algorithm is explained. As there is a shortage of electricity, the priority is given to energy savings by WSN (Wireless Sensor Network). The consumption of energy has decreased by permitting few cluster heads in the network, also known as nodes for communicating with the base station. A simple, effective, and computationally efficient optimization approach known as Particle swarm optimization (PSO) is utilized. With the usage of fitness function every particle poss the fitness value and even their speed it controlled using velocity. These values have been utilized by WSN for rectifying the issues like optimal deployment, clustering, node selection, and data aggregation. Efforts have been made to reduce the energy consumption occurs by the nodes and for extending the life of the network by proposing a PSO-based technique which selects the best nodes as cluster heads and a reselect mechanism for extending the network lifetime.
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Vartholomaios, Panagiotis, Nacim Ramdani, Christophoros Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai et al. „ENDORSE Concept“. International Journal of Reliable and Quality E-Healthcare 8, Nr. 3 (Juli 2019): 47–59. http://dx.doi.org/10.4018/ijrqeh.2019070104.
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Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.
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López, Cristina, und Alessio Ishizaka. „GAHPSort: A new group multi-criteria decision method for sorting a large number of the cloud-based ERP solutions“. Computers in Industry 92-93 (November 2017): 12–25. http://dx.doi.org/10.1016/j.compind.2017.06.007.
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Das, Saini, und Madhukar Dayal. „Exploring determinants of cloud-based enterprise resource planning (ERP) selection and adoption: A qualitative study in the Indian education sector“. Journal of Information Technology Case and Application Research 18, Nr. 1 (09.03.2016): 11–36. http://dx.doi.org/10.1080/15228053.2016.1160733.
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