ERP Solutions Research Articles

Business Strategy Formulation for PT Silka Teguh Sejahtera (Sciencom) to Elevate its Revenue

PT Silka Teguh Sejahtera (Sciencom) is one of Indonesia’s IT and computer training providers. In the past several years, the company faces limited revenue growth despite its strong reputation and high-quality training services as well as promising market potential for IT and computer training provider. This happens because Sciencom main target customer base is government institutions which have faced budget reductions for education and training. This study aims to formulate a business strategy for Sciencom to enhance its revenue by identifying the factors influencing the limited growth of the company’s revenue. The primary data is gathered from qualitative method in which the author conducted interviews with Sciencom’s employees and customers representatives in order to analyze the internal and external factors to the business issue. To support the finding, the author uses secondary data collected from company’s reports, journals, books, and websites. Through thorough internal and external analysis, the author was able to propose a new Segmentation, Targeting, and Positiong (STP) and Marketing Mix 7Ps to develop Sciencom’s business strategy using the Ansoff Matrix Growth Strategy that the company can utilize in order to elevate its revenue amidst a competitive market. The proposed strategy include expanding the target customer base to state-owned enterprises and fresh graduates, integrating a Leaning Management System (LMS) for online training, offering ERP solutions, partnering with universities for Swakelola Type 2 projects, forming a digital marketing and human resources departments, and regularly updating IT courses, certification, and promotional package offerings.

Designing a Cognitive Supply Chain Platform Using Sap ERP Solution for Smart Decision Support

Purpose: This paper aims to discuss how cognitive computing can work with supply chain management and differentiate it from the SAP ERP solutions which improves decision-making activities. It would reveal the potential of using analytics, machine learning techniques, and natural language processing for real-time decision-making. Methodology: To start with, a critical review of the literature is made and a functional breakdown of SAP ERP is conducted to understand the system’s structure and components. Talking about it in detail, the paper explores the chances, threats, and outlooks of integrating cognitive computing into SCM. Findings: In light of the above findings, it is revealed that integrating cognitive technologies with SAP ERP can enhance supply chain decision-making by equipping managers with complete timely information and possible future outcomes. Unique Contribution to Theory, Practice and Policy: Considering this, the paper suggests that more studies and implementations of cognitive supply chain platforms connected to the SAP ERP solution will improve decision-making effectiveness and company competitiveness in the modern context.

Develop a Program Design and Coding Standard

The use of programming language is increasing in the real world in all domains. So it’s important to follow and maintain coding guidelines & standard and follow the best practice. This article gives an overview of naming & coding standard, use of it, comparison of the main features of different programming languages(C++, Java, Python), data management approaches for local, mobile and cloud solutions for ERP and EHR implementations, the structure of each proposed algorithm and use, Few examples for in-house development, ERP solutions, packaged software implementations, and mobile applications, few proposals, and recommendations for further research. Also explain how to create the corporate standards a sample database and application design and development.

ERP systems in small and medium-sized enterprises: Barriers and prospects

ERP systems are among the most effective tools for managing small and medium-sized enterprises. However, the mechanisms for introducing such systems have not yet been comprehensively developed in relevant theoretical and empirical works. The article examines the ERP systems market in Russia, compares their benefits and drawbacks and delves into the details of implementing such systems in small and medium-sized enterprises (SMEs). The process approach to describing the stages of ERP system implementation constitutes the methodological basis of the research. The study has a quantitative design; the empirical data were obtained from 103 respondents in the period between June–October 2023, as well as from the Russian Federal State Statistics Service (Rosstat) for 2016–2021. We have found that 1C Company can boast the most advantageous position in the Russian ERP systems market for small and medium-sized businesses. The comparative analysis of the leading Russian ERP solutions confirms that 1C ERP is the most adequate product for SMEs in terms of its functionality, price, and speed of implementation. Resultantly, we have proposed an integrated model of ERP system for SMEs that can be adopted in a fast and effective manner, which is critically important for this sector of the economy. The approach can also be seen as guidelines to implementing an ERP system in small and medium-sized enterprises. The research findings highlight the importance of SMEs digital transformation through ERP systems.

The Impact of Digital Innovation on Accounting Practices: The Case of Romanian Public Schools

Today, digitalization has covered all areas of the social system. The introduction of innovative technologies and ERP systems in the accounting field helps significantly increase the efficiency of financial management. At the same time, certain industries, such as public schools in Romania, still do not take full advantage of accounting automation. This article examines the adoption of accounting automation through ERP solutions in university educational institutions in Romania and explores the advantages and obstacles that come with this shift. In this study, a thorough analysis of the data collected through the survey was carried out. A questionnaire with questions was sent to 100 educational colleges in Romania. The questionnaire contained questions aimed at gathering information about the level of automation, the types of technology used, the difficulties faced and the benefits. Institutions of various sizes with various funding sources – from regular to high schools – were chosen for the study. Implementing automated accounting systems in institutions in Romania has shown noticeable benefits, enhancing efficiency and transparency while ensuring accuracy in operations. However, limited financial resources and inadequate digital expertise challenge the adoption of ERP technologies and other sophisticated solutions. The study results show that digitalization levels differ significantly across education levels, with high and secondary schools being the most digitized, while pre-kindergarten and primary schools lag in adoption. Key obstacles include constraints and a shortage of expertise, particularly impacting high school and secondary educational establishments. The research provides recommendations to enhance the digitalization process in Romania's pre-university educational institutions.

State of Digitalization in Lifestyle Apparel Industry

Objective: The objective of this research study was to assess the extent of digitalization in the Lifestyle Apparel Industry and identify any loopholes in the ideal supply chain management. The study aimed to examine the integration of retailers with their partners, the understanding of key industry trends, and the decision-making process regarding the right retail format and digitalization level.
 
 Method: This research adopted a descriptive approach, combining quantitative and qualitative methods. A sample of 80 Lifestyle Apparel Retailers from the Mumbai region was selected using a simple random sampling procedure. Data was collected through surveys and interviews to gather insights into the utilization of technology platforms in the industry.
 
 Result: The findings of the study revealed that Universal Product Coding, Unified Payments Interface, E-Commerce platforms, ERP Solution, and Loyalty Programs are the most extensively used technology platforms in the Lifestyle Apparel Industry. These platforms have significantly transformed the supply chain process, enhanced customer experience, and improved operational efficiency.
 
 Conclusion: In conclusion, this research highlights the pivotal role of technology in shaping the Lifestyle Apparel Industry. The adoption of various technology platforms has empowered retailers to optimize their operations, enhance customer engagement, and remain competitive in the market. The study also points out the importance of integrating retailers with partners, understanding industry trends, and making informed decisions to achieve an ideal supply chain management in the digital era. These insights are valuable for industry stakeholders and policymakers to drive further advancements and growth in the Lifestyle Apparel sector.

Optimizing pricing and inventory strategies for dietary supplement production under stochastic demand

PurposeThe increasing popularity of ERP solutions has provided dietary supplement manufacturing companies with modules to manage pricing and inventory. However, the decisions made by these modules are often independent and rely on deterministic forecasts. This paper studies a multi-product dietary supplement manufacturing system under stochastic demands. The purpose is to maximize the long-run expected profit by jointly considering pricing and inventory strategies.Design/methodology/approachThe authors investigate both the general cases and three special cases including stable demand, negligible backlog and instantaneous replenishment. A two-stage algorithm named PAS is proposed. In the strategy construction stage, the constructed objective bounds are combined to provide estimates which then help to derive the optimal product prices. In the system operation stage, replenishment decisions are further made based on the prices generated from the previous stage.FindingsIt is proved that base-stock policy is optimal for the studied system, and the optimal based-stock level is provided. The global optimal strategies are obtained for three important special cases. For the general case, theoretical objective bounds are established. These bounds provide quick and reliable performance estimates for practical applications.Originality/valueVery few studies have jointly considered pricing and inventory strategies with uncertainty demands in the dietary supplement industry. The PAS algorithm developed integrates these decisions and consistently generates high-quality solutions even under highly varying demands. Such algorithm could be a valuable add-on to the pricing and inventory management modules in ERP systems.

Uloga i značaj programskih jezika u primeni ERP rešenja

ERP software solutions are important for every company because they significantly improve and simplify company operations through a system based on well-organized data and software modules. There are a large number of ERP solutions on the market in the form of commercial or opensource software. The paper focuses on the largest and most represented ERP software solutions, whose most significant features are presented in an overview. As these are software solutions that, by their nature, must be written in some programming language, the paper analyzes the programming languages that the presented ERP systems most use. The choice of programming language is very important when creating any new ERP solution because it often directs the system development and defines the framework of possible tasks that can be performed in it. Apart from the primary programming languages for each considered ERP system, other programming languages are also listed which they support at least in some of their segments. This approach in the paper can be useful to look at the existing situation in the field of relations between ERP software and programming languages, but also to provide a basis for the creation of some future ERP solutions viewed through the needs of the systems themselves and the capabilities of programming languages.

Versatile information provisioning in a configure-to-order production environment; a case study

Problems or challenges at operational/tactical levels in configure-to-order production environments are more often than not caused by inadequate information provisioning. Additionally, incomplete, uncertain, and ambiguous information hampers adequate decision making and control. This is especially the case in configure-to-order environments, where there is a high variability in processes. Consequently, standard software solutions often fail to allow for the required flexibility, adaptability, and agility. Moreover, in industry, software solutions (be it PLM, ERP, IoT, …, MES or CAQ solutions), oftentimes tend to become dominant factors in primary processes, thus further stifling the anticipated flexibility. If, however, these software solutions – here conjointly referred to as Digital Infrastructure – are regarded as subcontractors in a digital twinning approach, the primary targets in production/assembly can remain the driver in the overall process. This paper depicts how this digital twinning approach can be used to establish versatile and adaptive information provisioning. To ensure that the approach is not merely a theoretical discourse, the approach is depicted based on a case study. This case study, embedded in a Dutch manufacturing company for special needs bicycles, is rooted in e.g., the seasonal fluctuation in the market, on the broad product portfolio, but foremost on the ability to strengthen customisation as the unique selling point in that portfolio. For this reason, a use case focuses especially on one of the most demanding parts of the production/assembly-line: the welding robot digital twin for frame welding. On the one hand, this twin encounters all product variants and exceptions; moreover, this twinning approach will aim to provide decision support for upscaling of the production facilities. Next to this specific application, the paper also addresses the middleware solution that is under development to integrate individual applications in the bigger company context and strategy.

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.

Critical Success Factors of ERP Implementation: Evidence from Manufacturing Sector of Karachi

This study explores the critical success factors of ERP implementation in the manufacturing sector of Karachi. Data were collected from 252 such employees of the manufacturing sector of Karachi who have been using ERP solution for the time duration of at least one year. Exploratory Factor Analysis and Multiple Regression Analysis were used. Results of the factor analysis indicate the presence of four factors. Three of these factors, namely Data Quality (DQ), System Quality (SQ) and the Consultant Support (CS) were the critical success factors, whereas, the fourth was the dependent variable i.e. successful ERP Implementation or ERP Success. Once the factors were extracted, the reliability was tested and then the CFA was used to test convergent and discriminant validity of instrument. Multiple Regression Analysis was then applied to determine the impact of each factor on successful ERP Implementation or ERP Success. It was found that the Data Quality (DQ), System Quality (SQ) and the Consultant Support (CS) have significant impact on Successful ERP Implementation (hence forth known as ERP Success). Therefore, it is recommended that while implementing the ERP systems, firms must ensure that the data accuracy while they are entering the data or providing the data to the vendor / consultant. It is also recommended that the firms must be mindful about the system quality and the consultancy services (software support services) provided by the ERP vendor.

ERP and Performance of Companies in Romania

How does the implementation of ERP solutions influence the financial performance of companies? Using data for 406 of companies from Romania, we assessed the impact of the implementation of ERP solutions on the profitability and productivity of companies. We performed this analysis using companies’ financial data for the period between 1999 and 2000. The analysis of the influence of ERP implementation on the two indicators was carried out both from the perspective of users’ perception and from the perspective of the evolution over time of these financial indicators. Our results revealed a limited impact of the implementation of ERP systems on profitability and productivity, in line with the expectations of managers.

A Study on AI Based ERP Solution

This paper provides how AI can be useful for managing when it's integrated with enterprise resource planning. Business leaders around the world express equal amounts of excitement and urgency for implementing artificial intelligence. In this application of AI on ERP solutions, comparison of applications are studied.

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.

Актуальные тренды автоматизации бизнес-процессов в отечественных компаниях

The article analyzes the current and promising trends in the automation of business processes on the example of domestic companies. The assessment of the state of the world and Russian markets of BPM and ERP solutions is given. Ratings of the most successful companies developing BPM and ERP solutions in the domestic IT products market are built. The analysis of the results of this study became the basis for the formulation of a key modern trend in the field of business process automation – the expansion of the practice of using both local BPM solutions and global (multifunctional) corporate ERP systems with subsequent integration of the developed solutions.

Elements of Artificial Intelligence in Integrated Information Systems

Abstract The importance of the chosen theme is given by the lack of implementation of these technologies on the Romanian market, respectively to companies in the SME category, because this niche at the moment is one in full development and expansion. In the first part, entitled ‘Artificial intelligence – definitions, classifications’, the theoretical aspects of artificial intelligence systems in general, the direction of development in general, are presented, the types and categories of artificial intelligence and not least the facilities and effects of the use of artificial intelligence in general and in the fields of medicine, energy, production, education, finance and the transport industry respectively. In the second part entitled “Current trends in the development of integrated ERP systems” it analyzes the procedures for the integration of artificial intelligence elements as well as market analysis through the analysis of ERP solutions equipped with existing AI, the modules of the IT solutions that have been improved with artificial intelligence and other key elements with an impact on the implementations.

An interactive GST+ERP System for handling small scale Indian Businesses

Abstract: An ERP solution, often known as an Enterprise Resource Planning System, has become among of the highly productive and helpful installations. ERPs are incredibly competent of offering a strong organizational structure and simplifying the complete firm with simplicity. ERPs have been increasingly popular in last several decades due to the significant cost savings and excellent administration of an organization's overall business operations. ERP administration is an incredibly expensive operation due to the thorough and comprehensive integration, which is why much of it has been focused on major organizations. This is also why almost all of these new ideas have been out of reach for small to medium sized firms. Several other researchers were also barred from accessing these technologies and applying numerous modifications due to the expensive cost. As a result, an effective method to building a comprehensive approach to an ERP for the involved in administering small to medium enterprises is required. This research article provides an effective approach that enables the manager and the staff to access this software to make purchases, handle client and employee data, view performance charts etc. in much detail in the upcoming sections. Keywords: GST verification, Pan Number Verification, Database connectivity, purchase Entries, Sales Entries.

TAM-based external factors related to ERP solutions acceptance in organizations

To improve the efficiency and effectiveness of ERP solutions use, understanding of critical success factors of ERP solutions assimilation in organizations is crucial. The technology acceptance model (TAM) proposed by Davis (1989) has been the most widely used model for researching user acceptance and usage of IT/IS. The purpose of this paper is to extend the original TAM with groups of external factors which impact actual ERP system use. First, we focus on ERP system use in companies’ maturity phase. Second, we expose and examine three groups of external factors which influence ERP usage. The model was empirically tested using data collected from a survey of ERP users in 44 organizations. Survey data have been collected from ERP users who have been exposed to an ERP system which has operated for more than one year. The proposed research model was analyzed using the PLS approach.

Priority Factors for the Adoption of Cloud ERP Based on the Perspective of Consultants and SMEs

The presence of cloud computing technology is driving changes in the way ERP vendors design, develop, implement, develop and sell ERP products that were previously treated as goods into services. The existing ERP product players who previously provided on-premise ERP solutions are now also providing SaaS solutions to compete with new players providing SaaS solutions. Previous research on the adoption of cloud computing-based ERP has always looked at the adoption factor from the SMEs side, even though the success of implementation is largely determined by the consultant. This study aims to see if there are differences in the priority factors for the adoption of cloud computingbased ERP. This is important because there is a change in the role of consultants who previously played a lot in technical matters for implementing on-premise ERP to SME business process management in SaaS ERP implementation because the technical complexity has been handled by the Vendor. This study uses descriptive statistics to perform different tests and the Entropy method to determine the priority weights of cloud computing-based ERP adoption factors. The results of the study indicate that there are differences in the priority of adoption factors from the consultant's side, the largest is the regulation factor and from the SME side is available resources. For the lowest priority, it turns out to be the same in terms of consultants and SMEs, namely data control. Keywords— Adoption Factor, Consultant, ERP, SaaS ERP, SMEs, consultant, Adoption factor, Entropy.

Educational ERP solutions for Higher Institutions of Learning: With an Emphasis on Human Capital Management Component

This paper promotes for adoption of educational enterprise resource planning systems (ERP) in the higher institutions of learning (HIL). It suggests for consideration of human capital management (HCM) as a necessary component of such ERP solutions, extending the traditional Students Management Information Systems (SMIS) and standalone financial management modules in academia. The paper is an outcome of the study involving a situational analysis of the proposal stage for educational ERP implementation, conducted at a case university in Tanzania (name withheld in consideration of ethics). Using exploratory survey, the study sought to: establish a match between the university’s objectives and ERP solutions to justify for investment; understand the perception of the need among the key stakeholders; and understand the management’s readiness to adopt and support such an implementation. The paper uses a new concept of ‘extended Likert Scale’ tool for collection of ordinal and opinion based data. Among the findings is poor customer care as an undermining factor for the currently installed SMIS performance, and a gross need for electronic HCM services that are not available. The contributions the paper makes include: exposition of the technological capabilities required to improve on knowledge and HCM in universities as required in development as well as election of educational ERP packages. Keywords: Educational ERP, Higher Institutions of Learning, Human Capital Management, Extended Likert Scale DOI: 10.7176/IKM/11-4-12 Publication date: October 30 th 2021