“…Out of all initially selected scientifi c publications, only three address the use of the fi t-gap analysis method in the ERP system selection and deployment projects, allowing the author to answer the research questions. Since the previously conducted [14] study on the fi t-gap analysis methods was also identifi ed among the selected publications, the input data of the method mentioned in the sources of the said publication would also be studied when gathering the available input data type. To answer the research questions, overall 13 scientifi c publications will be analyzed in more detail.…”
Section: Methodsmentioning
confidence: 99%
“…For the purposes of the fi t-gap analysis method and ERP systems, the available literature does not provide a defi nition for the concept of "data", but it follows from the literature that "data" can be defi ned as quantitative facts or information on events [6], which can be processed and used to compare the ERP system with the requirements of the users. This section collects and investigates not only scientific publications found in the process but also all pre-studied and analysed scientifi c literature [14], identifying input data types for the fi t-gap analysis method. The section aims at answering research questions RQ1, RQ2 and RQ3.…”
Development of Enterprise Resource Planning (ERP) systems has become an independent industry for the improvement of information systems. It can be stated that ERP systems are designed to support the operation of a company. The fundamental objective of the system is to create a business value that aims at reducing the time and costs of the business while increasing the profit of the company. Although the adaptation and deployment of the ERP system, in general, are complex and protracted processes that require a lot of resources, the obtained results sometimes differ from the expected results of users. Mostly for that reason, there are incomplete internal enterprise business processes and software requirements analysis and development. Therefore, there is a need to determine the compliance of the main enterprise requirements and business processes with the ERP system. To choose the most appropriate ERP system, it is necessary to identify all possible methods of input data for the fit-gap analysis method. Thus, the main aim of the present study is to identify possible input data for the fit-gap analysis method, which can be used for the selection of the most appropriate ERP system.
“…Out of all initially selected scientifi c publications, only three address the use of the fi t-gap analysis method in the ERP system selection and deployment projects, allowing the author to answer the research questions. Since the previously conducted [14] study on the fi t-gap analysis methods was also identifi ed among the selected publications, the input data of the method mentioned in the sources of the said publication would also be studied when gathering the available input data type. To answer the research questions, overall 13 scientifi c publications will be analyzed in more detail.…”
Section: Methodsmentioning
confidence: 99%
“…For the purposes of the fi t-gap analysis method and ERP systems, the available literature does not provide a defi nition for the concept of "data", but it follows from the literature that "data" can be defi ned as quantitative facts or information on events [6], which can be processed and used to compare the ERP system with the requirements of the users. This section collects and investigates not only scientific publications found in the process but also all pre-studied and analysed scientifi c literature [14], identifying input data types for the fi t-gap analysis method. The section aims at answering research questions RQ1, RQ2 and RQ3.…”
Development of Enterprise Resource Planning (ERP) systems has become an independent industry for the improvement of information systems. It can be stated that ERP systems are designed to support the operation of a company. The fundamental objective of the system is to create a business value that aims at reducing the time and costs of the business while increasing the profit of the company. Although the adaptation and deployment of the ERP system, in general, are complex and protracted processes that require a lot of resources, the obtained results sometimes differ from the expected results of users. Mostly for that reason, there are incomplete internal enterprise business processes and software requirements analysis and development. Therefore, there is a need to determine the compliance of the main enterprise requirements and business processes with the ERP system. To choose the most appropriate ERP system, it is necessary to identify all possible methods of input data for the fit-gap analysis method. Thus, the main aim of the present study is to identify possible input data for the fit-gap analysis method, which can be used for the selection of the most appropriate ERP system.
“…From Research (Supriyono & Sutiah, 2019) the Accelerated SAP method has a level of efficiency and effectiveness in the management of ICT-based Islamic religious education learning media project development. Based on (Ancveire, 2018) the advantages with Accelerated SAP are a more realistic method and focus on individual gap analysis. An important part of the ASAP methodology is the ASAP Implementation Roadmap which can be seen in Figure 1 below.…”
An integrated information system in the Human Resources Department (HRD) is needed for good HR management to improve employee performance. The Importance of Odoo ERP Implementation Human Resource Application Module to replace a system that uses excel sheets into an automation process in the employee payroll process according to the company's business processes. Based on these problems, research was conducted to plan and implement this module using the Accelerated SAP (ASAP) method. The ASAP method is a framework method that is applied to project management to improve efficiency in the implementation of Odoo ERP. The results of this study are the renewal of the business process for employee payroll with changes in the division of labor between actors in HRD and the Accounting & Finance Department. In addition, customization and configuration of the Human Resource Application module was carried out according to the payroll process business blueprint. The process of testing this application uses the Black Box Testing method which is focused on functional specifications.
“…INTRODUCTION BI in the operational level is required to be an information system that is made up of three significant components that include a technological component that collects raw data, stores the data, transform data into information, a human component that accelerates the human competencies urging humans to retrieve data better and deliver it as processed information, and then generate knowledge and decision accordingly, and the last component is that used in supporting organizational business process the requires the transformation of information into useful knowledge to give organizations more business values and profits [1]. Ancveire [2] mentioned that BI systems are required to be much different than only a type of IT infrastructure. BI systems need IT infrastructure to operate such as hardware and shared services identical database shared services, and security services.…”
Making strategic decisions in a vigorous business setting is a challenge encountered by many organizations nowadays. Today, information is gathered all over the place and is rapidly expanding. Organization required powerful application and systematic system that could run in real time, provide insightful tracking for supply chains, logistics and operations that closely related to applications for sales tracking, hourly, daily to monthly production, financial, and many other sources of business data for purposes that consist of business performance management. Business Intelligence has a critical role in terms of organizational development as Business Intelligence (BI) be able to provide a competitive advantage in the context of achieving positive information asymmetry, that is, unifying and making useful heterogeneous data. However, the impact of BI and the relative importance of its insight on business performance have not yet been investigated. For this study, data were collected from a survey questionnaire of IT managers in 162 multinational companies in Malaysia and analyzed using the partial least squares (PLS) with the SmartPLS software. This research recommends that although BI and its insight contribute to management practices, the information requirements are diverse according on the level of uncertainty versus ambiguity characteristic of the organizations practice.
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