Cloud ERP Research Articles

The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

Capacity Planning to Increase Mechanic Availability in After-Sales Service at PT. Elang

After-sales service is critical in selling products such as heavy equipment, which require maintenance from mechanics who understand the product. PT. Elang is one of Indonesia’s heavy equipment distributors and provides service support after purchase. The company currently struggles to manage the mechanics for repair requests from customers. Most of the time, the mechanics are already dispatched for regular maintenance, so repair requests are challenging to respond quickly to because of the unpredictable nature of the case. Complaints and bad reviews on after-sales service lead to lost customers and significant revenue loss. This study aims to identify the gap between current and ideal capacity, look for the root causes through the business process review to find where improvement is needed and provide a suitable solution for the company. The qualitative and quantitative methods were used in this study. The qualitative method was through interviews and discussions with the head of service support and the branch operation head to understand the situation and process. The business process related to the issue was then analysed with Business Process Modeling and Notation (BPMN) and the root cause was found using the Current Reality Tree (CRT) method. The quantitative method was through the sales and capacity data collected from the company. The best alternative solution was selected using the Analytic Hierarchy Process (AHP) using XLSTAT. This study showed that the problem happened because of two root causes: an inadequate number of mechanics and no sufficient integrated system to support the information flow through related divisions. Three alternative solutions were proposed based on the root causes. After the AHP calculation and analysis, the results were confirmed with the head of service support, and it was concluded that the solution that could be implemented in the company is providing service points with a priority result of 71.03%. The next alternative is to implement the cloud ERP system with a result of 15.04% and outsource mechanics with a result of 13.93%. With this solution, the company considered a long-term approach with more sustainability and scalability criteria than ease of implementation. The order of criteria priorities are cost, effectiveness, sustainability, scalability, and ease of implementation, with a consecutive result of 47.87%, 24.3%, 12.64%, 6.6%, and 8.59%.

Examining Cloud ERP Platform Net Benefits and Influence Factors in Organizations

Examining Cloud ERP Platform Net Benefits and Influence Factors in Organizations

Exploring Analytics in SAP S/4HANA Cloud: Capabilities, Integration, and Business Value

With the accelerated adoption of modern cloud- based enterprise resource management (ERP) systems, organizations recognize the importance of integrated analytics capabilities to drive data driven business insights and gain a competitive edge. This study explores the real-time analytics architecture of SAP S/4HANA Cloud, a leading cloud ERP system, and its potential to improve decision-making and enhance operational excellence. Existing research has primarily focused on analytics in the conventional S/4HANA system. Thus, technical documentation, industry blogs, and implementation expertise are used to provide an overview of SAP S/4HANA Cloud’s analytics capabilities, including architecture, data modeling, extensibility, business value, and external integrations. Research shows that the SAP S/4HANA Cloud provides applications for monitoring KPIs, generating reports, visualizing data using embedded SAP Analytics Cloud (SAC), and seamless OData integration. Technology leaders will gain valuable perspectives on how modern cloud ERPs like S/4HANA Cloud, with their unified analytics capabilities drive faster response times to market changes and optimize costs through insights influencing the evolution of intelligent enterprise systems. Key Words: SAP S/4HANA Cloud, embedded analytics, embedded SAC, Cloud ERP, SAP HANA, S/4HANA Cloud analytics

The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

Digital Transformation and Real Options: Evaluating the Investment in Cloud ERP

The purpose of this research is to explore and advance the knowledge regarding digital transformation. Toward this end, this paper is focused on the valuation of the assessment methodologies of cloud ERP projects. The investment in digitalization systems entails high levels of uncertainty, which gives these investment projects a high strategic value. The importance of emergent digitalization in ERP systems has made it necessary to use assessment tools that consider strategic information as well as financial information. In this paper, the real options methodology, specifically the option to defer, is proposed to account for the strategic value of investment projects in digitalization. In this sense, an empirical study is conducted by applying the binomial option pricing model to real data on the costs and revenue of investing in cloud ERP to study its viability.

Bibliometric Analysis and Mapping of the Benefits and Challenges of Cloud ERP Systems

Bibliometric Analysis and Mapping of the Benefits and Challenges of Cloud ERP Systems

Overall Success Factors Affecting the Performances of Hybrid Cloud ERP: A Case Study of Automobile Industries in Thailand

The hybrid cloud ERP system is widely used in automobile companies in Thailand. It is a popular and effective strategic tool that aids in boosting organization’s competitiveness. However, because of their complexity, high risk, high resource requirements, and high investment costs, ERP projects still have a significant failure rate. It is widely acknowledged by academics and practitioners alike to be an extremely challenging endeavour. This study proposes a conceptual paradigm for postmodern ERP implementation across the entire life cycle. Mixed methodologies for this model’s theoretical development included case study observation, literature review, semi-structured interviews with ten IT experts and ERP consultants, and online questionnaires. Based on information gathered from 455 system users from 114 automobile industries sector, it was analysed by using Structural Equation Modelling (SEM). For data analysis, the partial least squares (PLS) method was employed. Out of the eighteen (18) hypotheses, fifteen (15) were supported by the PLS-SEM results. The conceptual model from the study that was presented can be put to use or helpful in the organization’s management, or project managers can utilize it as a framework and direction for hybrid cloud ERP implementation. The findings of the study can also be used to create a conceptual framework for the actual use of ERP systems for automobile industry, such as the incorporation of blockchain and postmodern ERP systems in many sectors of business. There is discussion of the findings’ implications for practical and research, and potential study areas are proposed.

An Enhanced Load Balancing Algorithm for Cloud Enterprise Resource Planning (ERP) Data in a Multi-Cloud Environment

Businesses and individuals have seen the need to adopt the cloud and mulit-cloud environment for their businesses and storage of data. The load balancing concerns especially in the multi-cloud environment was investigated and a new algorithm proposed. In this research, a proposed new load balancing algorithm is presented and compared with the Round Robin (RR) and Weighted Round Robin (WRR) algorithms. The proposed scheduling algorithm considered several Cloud ERP Data chunks to analyse the data transmission rate or throughput, the transmission delay, data loss and the Cloud ERP Data drop ratio. The proposed algorithm performed better compared to the Round Robin (RR) and Weighted Round Robin (WRR) in a multi cloud environment with data chunks above 150 in terms of throughput. The proposed algorithm again outperformed the RR and WRR with a recorded lower transmission delays and lower data loss.

A multi-disciplinary review of enablers and barriers to Cloud ERP implementation and innovation outcomes

PurposeDue to the unprecedented disruptions in business operations, many organisations are turning to Cloud ERP implementation to ensure employees can access real-time business information from anywhere, enabling the continuity of business activities. As a result, over the past decades, literature on Cloud ERP implementation has seen significant growth across different subject areas. This paper aims to present a systematic literature review (SLR) that consolidates the literature scattered across various multidisciplinary subject areas, explores recent developments and identifies knowledge gaps for more impactful future research.Design/methodology/approachAn SLR approach has been applied to a sample of 73 articles published until 1 February 2022.FindingsOur SLR identifies and consolidates a set of critical enablers and barriers to the implementation of Cloud ERP. What is particularly interesting is that this study established a link between these enablers and barriers and four key innovation outcomes: product, service, process and business model innovations. A rigorous framework has been devised that demonstrates the nexus between enablers and barriers to Cloud ERP implementation and innovation outcomes in an organisation. In addition, this study has recognised several organisational theories from information systems literature that have the potential for future research in this emerging area.Research limitations/implicationsThis SLR makes several theoretical contributions to the literature on Cloud ERP implementation and its impact on innovation outcomes.Practical implicationsThe review consolidates a wide range of literature to provide decision-makers with an integrated understanding of the most influential factors in Cloud ERP implementation.Originality/valueSLR provides a comprehensive analysis of the current state of research on the topic, offering unique perspectives on developments in theory and knowledge gaps, as well as identifying future research opportunities in the area.

Digital Transformation of Resource Management of Territorial Communities Based on the Cloud ERP System in the Concept of Industry 4.0

The aim of this study is to explore the potential for creating a unified digital information space using a modern ERP system to manage all processes and resources of territorial communities, which are categorized as non-industrial enterprises. This research is conducted in the context of building a modern landscape of Industry 4.0 technologies, which are considered to be the future of industrialization. The practical case of Ukraine is used to illustrate the typical problems associated with the uncoordinated use of different types of software in the management of enterprises and organizations operating in territorial communities. Furthermore, the advantages of switching to a new ERP platform are discussed. The benefits of deploying the system's multi-tier architecture in the cloud and implementing a corporate model for parallel management of individual divisions and organizations are also highlighted.

Investigating Cloud ERP Adoption in Australian Higher Education Institutions: A Case Study

Background: Some higher education institutions (HEIs) are constantly under pressure to deliver superior quality education services at low costs through deploying traditional on-premise systems. Cloud-based enterprise resource planning (Cloud ERP) presents an ideal opportunity to lower HEI costs in terms of scalability and pay-per-use features. Adoption of Cloud ERP is, however, still low for the context of HEIs. The successful adoption of Cloud ERP depends not only on the support of system providers but also on understanding Cloud ERP adoption from the client organization perspective. This study explores Cloud ERP adoption in the context of Australian HEIs. Method: This study adopted a case study methodology involving the in-depth semi structured interviews of several key stakeholders. Thematic analysis was used to analyze and interpret interview data. Results: Based on the case study, our findings suggest that this particular Australian HEI was subject to strategic, operational, technological, and financial motives originating from either internal or external locus. Most of the expected motives were realized, except the full flexibility of Cloud ERP. Four major challenges of Cloud ERP implementation were found. Conclusion: This study empirically investigates Cloud ERP adoption in HEIs by identifying the motives, realized benefits and challenges of Cloud ERP adoption, which bridges the research gap of this topic. This study could assist Cloud ERP providers to adjust their marketing strategies to promote the adoption rate of Cloud ERP in HEIs. Understanding the motives, challenges and benefits of IT adoption in HEIs facilitates judicious decision-making prior to selection and minimizes the possibility of the failure of Cloud ERP adoption.

Cloud based ERP systems and Data Security for Cloud based ERP Applications - SAP S/4HANA

In this research, we will talk about data security in cloud-based ERP. We utilized SAP S/4HANA cloud (Public edition) in this research. It is an analysis of security issues connected to cloud data and associated topics. The paper will examine data in detail. Worldwide protection techniques and strategies are employed to guarantee the highest level of data protection by lowering risks and threats in Cloud ERP. Although many apps benefit from having access to data on the cloud ERP, doing so exposes data to applications that may already have security flaws. Now-a-days many Organizations preferring Cloud based ERPs than on premises ERP so, we decided to Explore the Cloud based ERP. The paper will also discuss data security issues for Data-at-Rest and Data-in- Transit. All tiers of SaaS (Software as a Service), PaaS (Platform as a Service) are used in the study. In this research we also explore the solutions for different security issues in Cloud ERP. Key Words: Data Security, Cloud Computing, SAP S/4HANA, Cloud ERP

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.

Using deep learning methods in detecting the critical success factors on the implementation of cloud ERP

Using deep learning methods in detecting the critical success factors on the implementation of cloud ERP

Factors affecting cloud-based enterprise resource planning software adoption in Ethiopia

Enterprise Resource Planning (erp) are integrated software solutions that transform organizations’ internal processes, provide collaboration with partners, external applications and information systems. Extant literature reveals that organizations are showing interest to transit from an on-premise erp to the new cloud-based erp solutions due to their extra benefits. There are few recent initiatives in Ethiopia to adopt cloud-based erp but challenges faced in the course of the adoption are not explored. Using the technology-organization-environment, diffusion of innovation, and the model of innovation resistance frameworks as lenses, this research aims at identifying factors contributing to the adoption of cloud-based erp in the Ethiopian context. A quantitative approach is adopted and survey was conducted using a self-administered online questionnaire using Google’s online form to gather data from employees of Ethiopian Shipping and Logistics Services Enterprise. Out of 295 questionnaires distributed, 152 valid questionnaires were collected and considered for the data analysis. The proposed model was tested using a partial least square with the help of the Smart pls software. The proposed model explained 58.5 % of the variance in cloud-based ERP adoption factors. The empirical analysis indicated that Relative advantage, Trust, IT Skill, and External pressure had a significant influence on the adoption of cloud-based erp in Ethiopia whereas Organizational Culture, Observability, and Trialability had no significant impact on the adoption of cloud erp service. The study provides a comprehensive understanding of the factors which affect the adoption of cloud-based erp technology in Ethiopia.

Factors Affecting Cloud ERP Adoption by Tunisian SMEs

This study aims to identify the factors that determine the intention to adopt cloud ERP by Tunisian small, medium, and micro-enterprises (SMEs). Based on previous studies on cloud computing and cloud ERP, a research model was developed. A questionnaire survey was administrated online with two samples of adopters and non-adopters of traditional ERP during the first wave of the COVID-19 pandemic in Tunisia. Collected data were analyzed through PLS-SEM techniques. Findings suggest that both compatibility and technological readiness are favoring the cloud ERP adoption by SMEs adopters of traditional ERP, whereas compatibility and managers' support are driving its adoption by SMEs, non-adopters of these systems. Relative advantage, complexity, data security and confidentiality, financial readiness, regulatory support, and competitive pressure are insignificant factors for the two samples. This research contributes to fill some of the highlighted theoretical gaps in the field and may help managers and ICT staff in SMEs, cloud ERP providers, and policy makers to make more informed decisions.

Government financial support and financial performance of SMEs: A dual sequential mediator approach

Government financial support (GFS) is an important factor for firms in developing countries, particularly small and medium enterprises (SMEs), to be competitive and perform better. Nonetheless, studies on the relationship between GFS and firm performance have yielded inconclusive results. Researchers' efforts to resolve the inconclusiveness led to an examination of competitive advantage (CA) as a simple mediator. This study contends that CA should not be the first mediator but rather a resource acquired with GFS, such as cloud ERP, which has CA-enabled qualities, as opposed to GFS, which lacks the ability to offer CA to firms. Hence, using 204 Malaysian manufacturing SMEs as a sample, this study investigates the dual sequential mediation of cloud ERP implementation (CERPI) and CA in the GFS-financial performance (FPER) relationship. PLS-SEM was employed as a data analysis method and for hypotheses assessment. Findings reveal that the GFS is not directly associated with FPER. However, GFS is positively related to CERPI, which subsequently enhances CA positively. CA is also positively associated with FPER, and CERPI and CA sequentially mediate the GFS and FPER relationship positively. This study makes a contribution to the literature by providing a more holistic understanding of the complex relationship between GFS and FPER. This study could assist SMEs and policymakers in gaining a better understanding of the process and requirements for realising valuable benefits from GFS.

Killing Me Softly? Disrupting the ERP Consultants’ Role Migrating ERPs to the Cloud

On-premises ERP applications have been widely used by organization to support business operation. Successful implementations depend on a well aligned ecosystem of vendors, consultants, and user organizations. With the emergence of cloud computing, ERP vendors are starting to offer cloud ERP solutions based on the software as a service (SaaS) model. Cloud ERP solutions alter the balance of power, technological setup, and needed competences in the ERP ecosystem. This study aims to explore the impact of the shift to cloud ERP on the practices of ERP consultants. Based on a series of interviews with ERP consultants, our analysis shows that consultants should adapt by improving and changing their skills and by building new partnership with cloud ERP vendors. Finally, we develop an initial model of the ERP implementation ecosystem that shows that integrate our results.

The Nexus between Top Management Support on Change Management, Cloud ERP Implementation, and Performance of SMEs

Top management support (TMS) is a critical success factor in cloud computing (CC) implementation and firm performance. However, extant empirical research on these relationships has obtained mixed findings due to earlier studies focusing on a one-dimensional TMS construct with diverse measurement items that muddle up different behaviours of top management. TMS is typically a multi-dimensional construct, such as TMS change management (TMSCM), TMS resource provision (TMSR), and TMS vision sharing (TMSV). The aim of this study is to examine a specific TMS dimension, TMSCM, on cloud ERP implementation and, further, to measure the effect of TMSCM on the financial performance of manufacturing small and medium-sized enterprises (SMEs) through the mediating effect of cloud ERP implementation. The proposed research model was validated using partial least squares structural equation modelling (PLS-SEM) with a sample of 204 Malaysian manufacturing SMEs. Results reveal that TMSCM significantly impacts cloud ERP implementation and financial performance. Moreover, cloud ERP implementation is a significant driver of financial performance, and it partially mediates the relationship between TMSCM and financial performance. Contributing to disentangling the mixed findings of TMS impact on cloud ERP implementation and firm performance, this study also generates insights for practitioners that they need to balance TMSCM and cloud ERP implementation to improve the financial performance of SMEs.
 
 Received: 17 December 2021 / Accepted: 21 February 2022 / Published: 5 May 2022