Cloud Enterprise Resource Planning Research Articles

Enterprise Resource Planning based on Cloud Computing (Cloud ERP)

Enhancing enterprise management and streamlining business processes can be achieved through the use of a variety of IT tools and means, most notably integrated ERP (Enterprise Resource Planning) IT management systems. The considerable functional scope of ERP systems enables IT support of almost all areas of enterprise activity.

Harmony in Integration: Unveiling Novel Paradigms in ERP Implementation and Trends

Purpose: Enterprise Resource Planning (ERP) systems, originating in the early 1970s, have undergone a transformative evolution, becoming pivotal in unifying various company functions such as marketing, finance, production, and human resources. These systems, like SAP's large-scale deployments since the 1990s, enable the swift collection and processing of real-time data for effective daily management control.
 Methodology: In the dynamic ERP landscape, Oracle stands out as a Leader in the 2023 Gartner® Magic Quadrant for Cloud ERP for Service-Centric Enterprises, particularly with its Oracle Fusion Cloud ERP. Recognized for financial management, order-to-cash, source-to-pay, and other ERP functionalities, Oracle excels in "Ability to Execute" and "Completeness of Vision."
 Findings: Despite their transformative impact, ERP system implementations could be more flawless. Challenges include non-user-oriented interfaces, partially migrated data, and insufficient adaptation to user needs. However, these hurdles can be surmounted through meticulous planning, customized training, and system fine-tuning to align with specific business requirements.
 Unique contributor to theory, policy and practice: This research article provides insight into ERP system implementation and current trends. It highlights challenges faced by businesses during implementation and proposing solutions. Emphasizing that ERP systems streamline processes and aid decision-making with real-time data, the study underscores that success requires a well-planned strategy and customization to meet individual business needs.

Critical Success Factors for Implementing Cloud ERP in SMEs: A Systematic Review

Digital transformation has transformed the business processes and operations of firms worldwide. Companies need to adopt new technologies capable of automating and boosting the business to maintain competitiveness in a global market. This study aims to identify the critical success factors (CSFs) that impact Cloud ERP implementation in small and medium enterprises (SMEs). A systematic literature review was conducted with the support of the PRISMA-P. The identified factors were classified following the technology–organization–environment (TOE) framework. The CSFs that stood out most were system compatibility with the organization’s needs, data security, and senior management commitment support. This study contributes to the literature by identifying and grouping the CSFs that most impact the implementation of Cloud enterprise resource planning (ERP) in SMEs and to the practice by serving as a guide for managers and decision-makers of SMEs.

A statistical performance analysis of three double-layer homomorphic encryption schemes for cloud enterprise resource planning (ERP) data

A statistical performance analysis of three double-layer homomorphic encryption schemes for cloud enterprise resource planning (ERP) data

The Implementation of Cloud Enterprise Resource Planning by Snell X in Manufacturing Process Strategy: A Case Study of Skincare’s Company

In the midst of the growing awareness of the Indonesian people to use skincare products from various manufacturers, Company X is one of the SMEs involved in it. Skincare products are sensitive products that can have a direct impact on the wearer. The risk in the skincare business is that Company X must ensure that all materials and production processes are carried out safely and according to procedures. Meanwhile, Company X must also pay attention to maximizing existing resources, including time efficiency. Through this problem, Company X decided to implement an ERP system in its manufacturing process. The purpose of this research is to find out how the process takes place on the production side if it is implemented into the ERP system, as well as observe the benefits and challenges that will be faced by Company X. The method used in this research is qualitative with systematic review which will be described descriptively by conducting direct observations. As a result, the manufacturing process runs normally with the use of several new terms in the system, besides that several advantages are found such as cutting time and costs, however, regarding the limitation, this research only mentions time efficiency advantage. Due to the new system, the adaptation of employees and the high cost of maintaining the system will be the challenges for Company X.

Semantic-Based Multi-Objective Optimization for QoS and Energy Efficiency in IoT, Fog, and Cloud ERP Using Dynamic Cooperative NSGA-II

Regarding enterprise service management, optimizing business processes must achieve a balance between several service quality factors such as speed, flexibility, and cost. Recent advances in industrial wireless technology and the Internet of Things (IoT) have brought about a paradigm shift in smart applications, such as manufacturing, predictive maintenance, smart logistics, and energy networks. This has been assisted by smart devices and intelligent machines that aim to leverage flexible smart Enterprise Resource Planning (ERP) regarding all the needs of the company. Many emerging research approaches are still in progress with the view to composing IoT and Cloud services for meeting the expectation of companies. Many of these approaches use ontologies and metaheuristics to optimize service quality of composite IoT and Cloud services. These approaches lack responsiveness to changing customer needs as well as changes in the power capacity of IoT devices. This means that optimization approaches need an effective adaptive strategy that replaces one or more services with another at runtime, which improves system performance and reduces energy consumption. The idea is to have a system that optimizes the selection and composition of services to meet both service quality and energy saving by constantly reacting to context changes. In this paper, we present a semantic dynamic cooperative service selection and composition approach while maximizing customer non-functional needs and quickly selecting the relevant service drive with energy saving. Particularly, we introduce a new QoS energy violation degree with a cooperative energy-saving mechanism to ensure application durability while different IoT devices are run-out of energy. We conduct experiments on a real business process of the company SETIF IRIS using different cooperative strategies. Experimental results showed that the smart ERP system with the proposed approach achieved optimized ERP performance in terms of average service quality and average energy consumption ratio equal to 0.985 and 0.057, respectively, in all simulated configurations compared to ring and maser/slave methods.

Investigating the determinants of continuance intention on cloud ERP systems adoption

With the rapid developments in cloud technology, the cloud Enterprise Resource Planning (ERP) system is indispensable when investigating the adoption and implementation of manufacturing systems among industries. The cloud ERP system can support manufacturing systems through various cloud services. The study was based on the well-known Information Systems Success Model (ISSM) to explore the predictive power of these theory-based variables. Our research provides an integrated managerial model to predict the continuance intention of adopting the cloud ERP system to enable effective manufacturing. The paper employed Structural Equation Model (SEM) to verify and confirm the hypotheses from an online survey in Taiwan. The empirical results have confirmed that (1) self-efficacy and convenience positively predict perceived ease of use; (2) information quality, system quality, service quality, perceived price, and perceived ease of use positively predict satisfaction; perceived security has no significant effect on satisfaction; (3) perceived ease of use, perceived security and satisfaction positively predict continuance intention. This study’s analysis results thus provide a suitable integrated framework to predict continuance intention. Finally, our research provides practical and managerial recommendations for manufacturing industries of adopting the cloud ERP system.

Investigating the factors affecting the intention to adopt cloud-based ERP systems during the COVID-19 era: evidence from Jordan

PurposeGenerally, the use of cloud-based services has proliferated all around the world. This tendency increased dramatically during the coronavirus disease 2019 (COVID-19) pandemic when many people were obliged to conduct business remotely. This research study aims to investigate the intentions to adopt (IA) cloud-based enterprise resource planning (ERP) systems in Jordan, as this sort of research is scarce in developing countries. Specifically, this research study combined the model of Diffusion of Innovation (DOI) and the Technology-Organization-Environment (TOE) framework, in addition to looking at COVID-19 as a moderating variable.Design/methodology/approachData were collected from 60 participants working in Jordanian companies that currently use, or have the intention to use, cloud-based ERP systems. An online questionnaire was developed and used to collect responses. The study hypotheses were examined statistically using simple regression analysis and hierarchical multiple regression.FindingsThe study results clearly indicate that complexity, observability, employee information technology (IT) skills, organizational culture (OC) and top management support significantly affect the intention to adopt cloud-based ERP systems. In contrast, relative advantage (RA), compatibility, trialability, regulatory environment and competitive pressure had no significant effect on adoption intention. Interestingly, the advent of COVID-19 increased the intention to adopt cloud-based ERP systems.Research limitations/implicationsThe study's findings will provide theoretical and practical suggestions for the effective adoption of cloud ERP in Jordan, as well as aiding other developing nations in comparable situations in implementing cloud-based ERP systems.Originality/valueThe study enriches the knowledge and further examines the underlying reasons for adopting cloud-based ERP systems in a developing country.

Improving Lithium-Ion Battery Supply Chain Information Security by User Behavior Monitoring Algorithm Incorporated in Cloud Enterprise Resource Planning

Cloud enterprise resource planning (Cloud ERP) provides an efficient big data management solution for lithium-ion battery (LiB) enterprises. However, in the open ecological environment, Cloud ERP makes the LiB supply chain face multi-user and multi-subject interactions, which can generate sensitive data and privacy data security issues (such as user override access behavior). In this study, we take the value and information interaction into account to examine the user behaviors of the diverse stakeholders in the LiB supply chain. Therefore, a user behavior monitoring algorithm (UBMA), different from the mainstream supervised algorithms and unsupervised learning algorithms, is proposed to monitor the unsafe behaviors that may threaten data privacy in Cloud ERP. The results show that the UBMA can accurately search out the user behavior sequence where the unsafe behavior is located from a large amount of user behavior information, which reduces the complexity of directly identifying the unsafe behavior. In addition, compared with the recursive unsupervised binary classification method, the UBMA model has a lower resource consumption and higher efficiency. In addition, the UBMA has great flexibility. The UBMA can be further updated and extended by re-establishing the statistical characteristics of the standard user behavior fields to quickly adapt to user changes and function upgrades in the LiB supply chain.

Enterprise Resource Planning (ERP) Evaluation using User Experience Questionnaire and Development of Chatbot for Indonesian Insurance Company

Implementing Enterprise Resource Planning (ERP) can facilitate the planning and management of company resources. One of the insurance companies in Indonesia implementing ERP is PT Asuransi Jiwa Manulife; the platform used is a cloud-based ERP from Infor company, namely Infor CloudSuite. The Cloud ERP feature used is MiPOS, a part of making insurance proposals for prospective customers. In the implementation of MiPOS, there are still deficiencies in User Experience (UX) which are not yet user-friendly; therefore, a UX evaluation on MiPOS is carried out using the User Experience Questionnaire (UEQ) method distributed to MiPOS users as respondents. UEQ is a complete User Experience assessment framework that captures a person's impression of a system. UEQ has six aspects with 26 assessment criteria as a measure. However, in this research, the measurement was focused on the Perspicuity aspect. The research results show that the Perspicuity aspect score has the lowest value, namely -0.379 points, which falls into the neutral category. The effects of the Perspicuity aspect form the basis for ERP development by creating Frequently Asked Questions (FAQ) pages equipped with the Chatbot feature.

Influential Characteristics and Benefits of Cloud ERP Adoption in New Zealand SMEs: A Vendors’ Perspective

Cloud enterprise resource planning (ERP) systems are hosted services offering opportunities for small and medium-sized enterprises (SMEs) that often lack IT resources. Few studies have examined the adoption of cloud ERP systems in SMEs, specifically, from the perspective of cloud ERP vendors who are the domain experts. Drawing on vendors’ perspectives in the New Zealand (NZ) context, this paper evaluates the influential characteristics for adopting cloud ERP systems in SMEs. The paper uses an integrative model combining the technological, organizational, and environmental (TOE) framework with the unified theory of acceptance and use of technology (UTAUT) based on individual dimension for a holistic evaluation. Findings reveal novel characteristics including system reliability and data security that influence adoption of cloud ERP. Further, benefits are identified such as reduced cost and time for deployment, increased scalability, and improved accessibility. The paper presents new insights that can help SME managers successfully adopt cloud ERP in their firms in addition to providing practical guidelines for adoption in NZ. The development of a theoretical model integrating TOE and UTAUT is a novel approach, substantially contributing to the body of knowledge.

Cloud-based ERP construction process framework in the customer’s perspective

Process frameworks for the implementation of cloud enterprise resource planning (ERP) were derived and each process was examined through detailed comparisons with on-premise ERP construction processes, using process engineering characteristics. The process frameworks for implementing cloud ERP are classified into infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), content-as-a-service (CaaS), and software-as-a-service (SaaS), depending on the construction type, and are defined based on 6 derived processes, 21 activities, and numerous specific tasks. The process engineering characteristics of the final proposed process framework were further analyzed and examined in comparison to on-premise ERP construction processes with respect to differences and similarities. This study provides a theoretical foundation of standardized research on cloud ERP construction methods. As a practical guideline for stakeholders, it can be used in practice as a process tailoring tool, providing information on specific activities and tasks for each construction phase, contributing to the construction and spread of reliable cloud-based ERP systems from the customer?s perspective.

Cloud ERP systems architectural challenges on cloud adoption in large international organizations: A sociomaterial perspective

This combined literature review and case employs a sociomaterial perspective to explore architectural challenges and countermeasures that BioOrganism, the case company, should consider in a decision to adopt a cloud enterprise resource planning (ERP) system. The case has experiences with an on-premises model, but not the cloud model per se. The study is designed with an element of case to provide a solid backdrop toward the sociomaterial perspective, which focuses on a reciprocal enactment between the cloud ERP systems architecture and the BioOrganism contextual surrounding. Six architecture challenges were identified: (1) data security, (2) data privacy, (3) network dependency, (4) system mobility, (5) vendor lock-in, and (6) scalability. Countermeasures that BioOrganism, and other large international organizations of similar nature, can take to mitigate risks from the six challenges are presented in the review.

Comparison on the Implementations of ERPs with Different Versions

As a typical type of Management Information System (MIS), Enterprise Resource Planning (ERP) systems are mature on assisting in managerial operation with businesses. With the development of digital technologies and wide acceptance on MIS, Cloud ERP has received extensive attractions than Traditional ERP. This paper aims to analyze and evaluate the comparison between Cloud ERP with Traditional ERP. Both Traditional ERP and Cloud ERP have their competitive advantages since Cloud ERP is not mature in all dimensions. Traditional ERP is more stable, safer and cheaper, whereas Cloud ERP is more efficient and more flexible. Therefore, small or middle-size companies are suitable to use Traditional ERP, and large enterprises with rapid growth and changes are more suitable for Cloud ERP. Suitability and adaptability are the main factors that should be considered when the enterprise chooses its ERP system. The results of this paper provide general suggestions on the directions of selecting ERP systems for enterprises of different sizes.

The Mediating and Moderating Effects of Top Management Support on the Cloud ERP Implementation–Financial Performance Relationship

Cloud enterprise resource planning (ERP) is one of the most sought-after information technology (IT) solutions for improving business performance due to its affordability, scalability, and pay-per-use subscription model. The impact of cloud ERP implementation on business performance, on the other hand, remains inconclusive. Additionally, an important factor that transverses all organizational processes, including IT implementation, is top management support (TMS). However, the TMS’s role in the latter stage (business value realization) of cloud ERP implementation is unclear. The purpose of this paper is to examine the mediating and moderating impacts of top management support (TMS) on the relationship between cloud ERP implementation and financial performance. A total of 204 small and medium enterprises (SMEs) in Malaysia were surveyed, and data analysis was conducted using partial least square structural equation modelling (PLS-SEM). The results demonstrate that TMS plays a partial mediating role in the relationship between cloud ERP implementation and financial performance and that this relationship is significantly stronger in SMEs with low TMS levels. As a result, it is concluded that top management should provide the required support following successful cloud ERP implementation in order to achieve positive financial results. However, such support must be adjusted in order to avoid the deterioration of the firm’s financial performance.

Critical success factors of cloud enterprise resource planning systems and financial performance: Evidence from emerging markets

Cloud ERP (C-ERP) systems help firms to reach greater levels of sustainable performance (Gupta, Qian, Bhushan, & Luo, 2019). Ali (2016) demonstrate that the enterprise resource planning (ERP) system implementation influences financial performance indicators. Huang, Rahim, Foster, and Anwar (2021) had investigated and identified the critical success factors (CSFs) which may affect the successful implementation of C-ERP systems. However, no empirical evidence was found on the relationship between C-ERP critical success factors and financial performance. This study examined the effect of key CSFs of the C-ERP systems on financial performance in the post-implementation stage. An online questionnaire was developed to collect data about CSFs in C-ERP firms. The financial ratios were collected from the Amman Stock Exchange (ASE) filings. OLS analysis suggests that financial performance is affected by technological competence, management support, organizational culture, and system characteristics. The study provides empirical evidence on the cause-effect relationship which emphasizes the difference made in long-term financial success by the various managerial techniques. The results provide practical implications to management and service providers that help in installing and maintaining C-ERP systems.

Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory

Enterprise Resource Planning (ERP) system is a collection of collaborative software programs. It handles transactions through enterprise-wide business processes using shared databases, standard methodologies, and data exchange across and within functional domains. Setting up an enterprise system is a complex activity and a costly and dangerous investment. Further, ERP system potentially affects core business and supporting processes, especially in complex and cyber-physical domains such as Industrial Internet of Things (IIoT) and Smart Factory. Cloud ERP (C-ERP) and Edge ERP (E-ERP) are alternatives to traditional, centralised and monolithic ERP implementation for incorporating the benefits of Cloud and Edge Computing. Their main benefits include ease of use, resource balancing, bandwidth, cost-saving, and higher privacy/security. This paper discusses the benefits and limitations of using C-ERP and E- ERP in IIoT and Smart Factory domains, along with future directions in the ERP era of demand.

Factors Affecting Cloud ERP Adoption Decisions in Organizations

This paper summarizes research on the adoption of cloud enterprise resource planning (ERP) systems in small and medium-size organizations (SMEs) and large enterprises (LEs) that have employed the diffusion of innovation (DOI), and the theory and technology, organization, and environment (TOE) framework. Based on a systematic literature review, this paper concludes on 13 primary factors that are the most common influencers when adopting cloud ERP at the organizational level. These factors are categorized and discussed through the DOI, and the TOE framework. The perceived relative advantage, compatibility, complexity, trialability, and observability are identified as innovation characteristics influencing the decision to adopt cloud ERP. The technological factors are identified as system quality, security, vendor lock-in, and data accessibility, while the organizational factors are identified as a financial advantage and top management support. Finally, competitive and regulatory pressures and support are environmental factors affecting the adoption decisions. Out of the 13 factors identified, vendor lock-in, relative advantage, top management support, and competitive and regulatory environment were the most common factors affecting the decision to adopt cloud ERP. Finally, this review identifies a gap related to the lack of studies in the context of LEs, and a lack of differentiation between small and medium-size organizations, which may be fulfilled by future research.

Effectiveness of Cloud Docker Container In Supporting ERP System Development

Technology in business is always evolving with high scalability and elasticity. Enterprise Resource Planning (ERP) with new architectures and techniques is constantly being developed and studied. The company always has problems in the process of development, revolution, operation and documentation on the company's products and systems themselves. With the study developed in this journal, it is hoped that it can help developers and companies to implement the effectiveness of the system with flexible development. This study explores the use of Docker, Content Delivery Network (CDN) and Gitlab for development and operations in implementing Enterprise Resource Planning (ERP) systems with odoo frameworks in cloud data centers. The result is structurally more flexible and efficient, and more organized in documentation. This study provides guidance for companies looking to implement cloud-based ERP, governments that have complex infrastructure system service governance and cloud ERP provider vendors.

Challenges of Cloud-ERP Adoptions in SMEs

This research examines the challenges of cloud enterprise resource planning (ERP) system adoptions in Small- and Medium-sized Enterprises (SMEs) in literature. Cloud-ERP systems provide new opportunities for companies and make ERP systems more accessible to smaller companies beyond large enterprises (LEs). However, organizations are still experiencing challenges related to the adoption and implementation of cloud-based software and the use of new systems. Existing literature within this field of study mainly concentrates on the challenges of cloud-ERP adoptions in LEs. Relevant literature on the respective challenges experienced in SMEs is either relatively old or not addressing this topic exclusively. Hence, this research gap should be further studied to better understand and gain insight into the field. Based on the four phases of the Enterprise System Experience Cycle, we identify and classify the challenges addressing SMEs’ cloud-ERP adoptions in extant literature.