Enterprise Information Systems Research Articles

Critical success factors for knowledge management systems in new product development

ABSTRACT Several studies have sought to identify the factors that are associated with successful KMS (knowledge management system) projects. Such KMS success models, however, disagree on which factors to include. To advance this knowledge, the present study uses a grounded theory approach involving interviews with NPD (new product development) professionals at 24 companies. The data analysis identifies 46 success factors, which are organized into 19 dimensions under eight categories. Using these dimensions and categories, a KMS success model is developed. The study provides two main contributions: (1) a more detailed account of factors influencing KMS success, and (2) the identification of four overall characteristics that set KMS projects apart from other enterprise information system projects. The detailed account of the conditions for KMS success provided by the present study may support the design of future KMS studies by clarifying the variables that need to be considered.

Implementasi Sistem Informasi Akuntansi Pada Umkm Pabrik Tempe Bapak Welas Depok

This study aims to determine the implementation of accounting information systems in Micro, Small, and Medium Enterprises (MSMEs) with respondents from Mr. Welas Tempe Factory in Depok. The type of research used is a case study. Data collection methods in this study are interviews, observations, and documentation. The data analysis method uses a descriptive analysis method with a qualitative approach. The results of data analysis and discussion of this study indicate that Mr. Welas Tempe Factory still uses recording and is only limited to incoming and outgoing money so that Mr. Welas Tempe Factory cannot carry out the application and readiness of the implementation of the accounting information system due to lack of knowledge about accounting and limited human resources who manage bookkeeping.

Application Development Model E-Commerce in Traditional Markets Using the TOGAF Framework

The existence of traditional markets is increasingly being eroded by the presence of online market models that already utilize various e-commerce platforms. However, the TOGAF Framework provides a ray of hope. Even though the existence of traditional markets is unlikely to disappear, if traders in traditional markets do not try to adapt to using e-commerce, it will have an impact on losing customers, losing turnover, and will even affect the acceleration of their business. Architectural design for system development in traditional market activities can provide an important picture of how to advance traditional market industries that will not be out of competition with modern markets. TOGAF (The Open Group Architecture Framework) provides a detailed method of how patterns build, manage, and implement enterprise architecture and information systems called the Architecture Development Method. Analysis using the TOGAF Framework provides an overview of how to plan, design, develop and implement information system architectures for traditional markets. The results of this design analysis are an information technology architectural design which is the basis for traditional market managers, especially in Indonesia, in advancing the business processes of traders in the market so that they are not unable to compete with modern markets but with gap analysis constraints that must really be considered with regard to internet infrastructure problems in the market, sellers who are not fully able to use technology due to age and not all forms of goods on the market can be sold through e-commerce platforms. This gap analysis will make e-commerce implementation slow to implement.

Information model for assessing the impact of tactical material procurement risks on order fulfillment in make-to-order manufacturing

Manufacturing businesses are showing increased interest in the issue of supply risks for materials and components. In recent decades, numerous studies and reviews have been published on the subject of supply chain risks. However, most research examines the global impact of risks on business as a whole and proposes a multi-level procedure for identifying, assessing, and developing risk mitigation measures, which should be carried out in advance with the involvement of specialists and experts. Nevertheless in maketo-order manufacturing, it is important to assess the risks of material supply for individual production orders, at the same time taking into account constant changes in production state and supply chains. The problem of assessing the risks of material supply gets even more complicated at enterprises with a high mix of manufactured products. To solve the above-mentioned problems, the authors propose an automated model for risks evaluation. The model is implemented as a component of the enterprise's information system (ERP) and uses data from the technological, production, inventory, and logistics modules to calculate the probability of deviation in order fulfillment time from the planned schedule due to potential disruptions in material supply chains. When executing the model, it analyzes the production's material requirements in both volumetric and calendar terms, inventory levels, and the condition of supply channels. The risks of delayed delivery for each material are expressed as the standard deviation of the delivery date from the planned date and are calculated by composing the risks for segments (elements) of the supply chain, the risks for which are, in turn, calculated based on performance data accumulated in the logistics module, with the possibility of introducing correction coefficients and expert evaluations. The overall risk of order material supply is determined by summing up the delivery risks of individual materials, expressed as the corresponding standard deviations. The model's results can be used for managerial decision-making in production and procurement or for communicating expected order fulfillment times to customers. The model has been tested at an enterprise in the electrical engineering industry.

Taking action to reduce board-level information asymmetry: the adoption of enterprise information systems

Taking action to reduce board-level information asymmetry: the adoption of enterprise information systems

Factors Influencing the Performance Evaluation of Agricultural Product Supply Chain in Guangxi Province, the People's Republic of China

The research questions of this paper are: (1) What factors have an impact on the performance management of the agricultural product supply chain in Guangxi Province? (2) What are the problems in the supply chain management of agricultural products in Guangxi Province? (3) What is the model of the factors influencing the performance of evaluation of agricultural product supply chain in Guangxi province, The People's Republic of China? Through the study of this paper, it is found that there are the following problems in the supply chain management of agricultural products in Guangxi Province: the quality of goods supplied by suppliers is uneven, the timeliness is slow, and the loss during transportation is large. The information systems of various agricultural enterprises are not fully popularized, data between different enterprises cannot be shared, the level of information management is not high enough, the efficiency of transportation management is low, and the quality of transported products cannot be guaranteed.  Major Findings: The research model takes the performance of the agricultural product supply chain in Guangxi Province as the dependent variable, the supplier performance evaluation (SPE) as the independent variable, and the information technology evaluation (ITE) and logistics performance evaluation (LPE) as the mediating variables. The validity of the survey plan and data was tested by confirmatory factor analysis and reliability analysis. Subsequently, the structural equation model and regression analysis were used to verify the various assumptions in the supply chain organization efficiency hypothesis model. This study deeply explores the many factors that affect the efficiency of the agricultural product supply chain. Finally, a new model for analyzing the factors affecting the performance of the agricultural product supply chain in Guangxi was constructed.

ANALYSIS OF ACCOUNTING INFORMATION SYSTEM IMPLEMENTATION AT VILLAGE-OWNED ENTERPRISES

This research aimed to analyze the implementation of accounting information systems in Village-Owned Enterprises of Bisaea in Lasalimu Village, Lasalimu Subdistrict, Buton Regency in Southeast Sulawesi. The variables of this research are the Accounting Information System in Village-Owned Enterprises. The population of this research is all data and documents related to the information system used by the Village-Owned Enterprises of Bisaea in Lasalimu Village, South Lasalimu Subdistrict, Buton Regency in Southeast Sulawesi, and the sample is all data and documents related to the accounting information system used by the Village-Owned Enterprises of Bisaea in Lasalimu Village, South Lasalimu Subdistrict, Buton Regency in Southeast Sulawesi for the year 2022. The data were collected by conducted using documentation. The data obtained were analyzed using a qualitative description. The results of this research suggest that in using the implementation of the accounting information system at Village-Owned Enterprises, Bisaea still applies manual recording; this is supported by the five components of the accounting information system, namely the user/person who operates the system, procedures and instructions, data, software, and internal controls for security measurements. As a result of the lack of employees, there are task traps on the part of the treasurer, secretary, recorder, and collector, which results in not working optimally; the solution must be to add employees according to their expertise in the field they are controlled so as not to cause task traps.

Analysis of Factors Affecting the use of Accounting Information Systems in Micro, Small, and Medium Enterprises (MSMEs) Culinary in Medan City

Analysis of Factors Affecting the use of Accounting Information Systems in Micro, Small, and Medium Enterprises (MSMEs) Culinary in Medan City

Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing on the factors influencing the adoption of analytical components in EISs and assessing their impact on strategic decision-making in organizations. Following the PRISMA 2020 guidelines, we meticulously selected and reviewed articles from the Scopus database, employing a robust taxonomy based on the technology–organization–environment (TOE) framework to categorize findings. Our methodology involved a thorough screening of 234 studies, leading to a final analysis of 45 peer-reviewed articles that met our stringent criteria. These studies collectively underscore a significant gap in organizational capabilities, notably in the business ecosystems surrounding EISs, which hampers the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes. This review identifies critical factors for integrating analytics into Enterprise Information Systems (EISs), emphasizing technological, organizational, and environmental dimensions. It highlights a significant gap in models guiding ERP systems with Business Intelligence (BI) capabilities and underscores the need for robust research to enhance strategic decision-making through analytics.

Feasibility Design and Analysis of Process-aware Accounting Information System for Business Management

Accounting Information Systems (AIS), as a fundamental element of Enterprise Information Systems (EIS), are experiencing dual pressures from the enterprise management surroundings and the advancement of accounting control. The current AIS focused on functional applications needs to be revised to meet contemporary enterprise management requirements. This study suggests implementing a Process-Aware Accounting Information System (PA-AIS) that utilizes data mining techniques to enhance managing business processes. The objective is to enhance the accounting effectiveness of organizations and provide valuable insights for building AIS. This paper compares the benefits and drawbacks of standard methods employed in building AIS. It also assesses the potential of process-aware AIS to enhance business Process Management (PM) by considering factors such as enterprise effectiveness, accounting expenses, accounting duration, etc. An analysis assesses the viability of improving the PA-AIS for managing business processes regarding enterprise effectiveness, accounting expenses, accounting duration, etc. The findings indicate that implementing a PA-AIS with enhanced business PM is economically viable and successful. This system saves time, minimizes accounting risks, and enhances management control inside the firm. The implementation of a PA-AIS, along with enhanced business PM, effectively decreases the accounting expenses of firm Y. The initial accounting cost is from 100k to 200k, but the accounting expense after implementing the new system ranges from 80k to 100k. Implementing the new system resulted in a minimum 10-20% improvement in Company Y's accounting efficiency, rationality, and user convenience. The PA-AIS enhances business process administration

Carbon footprint accounting method based on dynamic allocation of multi-level carbon data from manufacturing organizations to products

In the process of accounting for product carbon footprints, data quality is a key requirement. To mitigate the impacts of uncertainty, dynamism, and coupling in carbon data during product carbon footprint accounting, a method based on multi-level dynamic allocation of carbon data between organizations and products is proposed. First, considering the complex distribution and merging relationships between organizational carbon emissions and product carbon footprints, an AAC (Accounting Allocation Correlation) model between the two is constructed. Then, through EIS (Enterprise Information System), carbon data is obtained, and a multi-level dynamic allocation method for carbon data, as well as a Monte Carlo-based method for merging carbon data, is proposed for the dynamic accounting of product carbon footprints. Finally, using high-voltage switchgear as a case study, the feasibility and effectiveness of the proposed method are validated.

Dynamic capabilities for nimbleness and resilience in a continuous digital transformation: action design research in an Australian financial services organisation

PurposeThe research aims to understand the co-existence of nimbleness and resilience in a continuous digital transformation, along with the dynamic capabilities needed to balance the challenges of their co-existence.Design/methodology/approachThe current study draws on dialogical action design research (D-ADR) to investigate interactions among practitioners and executives. Data are collected from a major Australian financial services organisation (FSO) and many international experts.FindingsThe study presents a framework, the continuous transformation model (CTM), to describe digital transformation within an FSO context, emphasising nimbleness and resilience as its foundational pillars. This framework facilitates the identification of the critical role of organisational capabilities in managing continuous digital transformation, supported by dynamic IT capabilities. More importantly, the findings underscore how these capabilities enable managers to effectively balance the coexistence of nimbleness and resilience.Research limitations/implicationsThe CTM contributes to the enterprise information systems literature by offering a coherent understanding of balancing resilience and nimbleness to succeed in digital transformation. In particular, the research model elucidates the relationship between dynamic capabilities and continuous digital transformations.Practical implicationsDigital transformations are not a one-off exercise. Managers in the FSO context must cultivate their organisational capabilities to achieve nimbleness and resilience during their digital transformation journey.Originality/valueThe relationship between dynamic capabilities and continuous digital transformation sheds light on establishing successful management processes within FSOs.

Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform

Practice- and Policy-Oriented Abstract Digital platforms commonly use monetary incentives to motivate users to perform specific tasks. Existing studies have shown the effects of introducing such monetary rewards on task participation and performance on public platforms. However, little is known about the impact of canceling rewards, and particularly less attention is paid to corporate platforms. Our study examines the impact of canceling monetary incentives using quasi-natural experiments on a corporate platform. We find that canceling monetary incentives is not simply the reverse process of their introduction. Specifically, compared with the increase in task participation when rewards were initially introduced, canceling these rewards leads to a sharper decrease in participation. Additionally, although introducing rewards has no significant effect on task performance, canceling rewards causes a significant decline in performance. These results suggest that canceling monetary rewards has a net negative impact on task participation and performance. Furthermore, we examine the heterogeneity of this impact concerning user motivation types and working competency levels. We also discuss the similarities and differences between corporate and public platforms in the impact of monetary incentives. Our results provide important practical implications for enterprise information systems and general information systems regarding their design of incentive strategies.

Management information systems: Evaluating the adoption and impact of cloud computing in enterprise information systems

Management information systems: Evaluating the adoption and impact of cloud computing in enterprise information systems

Information and analytical activity in the system of economic security of the enterprise

This article is devoted to understanding the importance of information and analytical support for management decisions in modern conditions, when there are threats of various nature. It has been proven that the selection of reliable necessary information, scientifically based methods of its analysis provide optimal solutions in these conditions, aimed at ensuring the effective operation of the enterprise. Analysis occupies an intermediate place between the selection of information and decision-making. It has been studied that depending on business conditions, different decisions are made, different techniques and methods of analysis are used. The main features that determine the content of analytical activity are highlighted, such as: the study of economic phenomena, objective assessment of the efficiency of the enterprise, scientific substantiation of business plans and identification of reserves at the enterprise. The main tasks of the information and analytical system of enterprises of network structures in modern conditions are highlighted. It is considered that the object of analysis is the economic activity of the enterprise, which can be divided into economic processes and financial results formed under the influence of objective and subjective factors.

Business View Specification of Enterprise Information Systems Based on Core Ontologies

Enterprise Information Systems (EIS) supporting Business Processes (BPs), particularly Sensitive Business Processes (SBPs), should be characterized by integrity, flexibility, and interoperability. However, the urbanization approach, which we rely on to implement these systems, must address the “three fit” problems that hinder the realization of these desired features at both the business and technical infrastructures: “vertical fit” problems – concerning the business infrastructure; “horizontal fit” problems and “transversal fit” problems – concerning the technical infrastructure. We argue that for overcoming those problems, it is necessary to define an explicit framework for specifying BPs/SBPs. We present in this paper our conceptual specification for the BPs/SBPs modeling domain in the form of a core domain ontology, in order to overcome “horizontal fit” and “transversal fit” problems. Specifically, we introduce (i) our reference ontological framework and (ii) provide an overview of the Core Ontology of Sensitive Business Processes (COSBP). Our focus lies in the representation of SBPs in order to overcome “vertical fit” problems.

A systematic data-driven approach for targeted marketing in enterprise information system

ABSTRACT In the rapidly evolving landscape of digital marketing, leveraging data analytics within Enterprise Information Systems (EIS) has become crucial for businesses aiming to understand and engage their customers more effectively. This study presents a comprehensive analysis of data-driven marketing strategies, emphasising the critical role of diverse data sources in developing targeted, EIS-specific campaigns. Central to our investigation is a comparative analysis of various machine learning algorithms, including Random Forest, CART, Support Vector Machine, Linear Discriminant Analysis, Logistic Regression, K-Nearest Neighbours, and Naïve Bayes. Our selection and evaluation of these models are grounded in their ability to address the complex dynamics of customer behaviour and marketing data, demonstrating the superior efficacy of Random Forest and CART in this context.

SSCM: a secured approach to supply chain management with control management using blowfish optimization

ABSTRACT This study examines the importance of enterprise information systems that link several corporate organisations to share information about diverse products under high security settings. The primary goal of the proposed strategy is to create a direct link between product demand and production to minimise the impact of rising costs. The research motive to make a connection cannot be resolved without suitable data that shows both quantity and quality in each organisation unit. The suggested method is designed to deliver accurate data to authorised end users while preventing any data exposure to unauthorised users. Security cryptographic keys are utilised to create a data control method, and the blowfish algorithm is integrated with the projected system model to segregate data blocks for enterprise systems. Four scenarios are considered where the results show that by using the integrated model, it is feasible to increase the number of authorisation units to 88%, compared to the 75% attained with the current approach.

Synchronisation of operations and maintenance in distributed unrelated parallel machine systems: a hierarchical optimisation framework

ABSTRACT Synchronisation of operations and maintenance means that production and maintenance departments work together effectively to achieve integrated optimisation of production scheduling and maintenance activities. This paper addresses such an integrated optimisation problem towards distributed unrelated parallel machine systems, where deteriorating processing time and machine failures are considered. For the trade-off between production and maintenance to obtain a minimal makespan in the worst-case scenario, a hierarchical optimisation framework with reinforcement learning-based encoder and knowledge-based intelligent optimiser (HOFRK) is developed. Experimental results show that HOFRK can be treated as an excellent optimiser for enterprise information systems to solve the proposed problem.

CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems

CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems