ERP System Implementation: Benefits and Economic Effectiveness

The enterprise information system offers the service platform to improve the efficiency of enterprise work. Information systems are widely used in different areas and improve the efficiency of enterprise activities. The main purpose of this paper is to present the ERP systems implementation challenges together with identifying the benefits from the implementation and economic effectiveness of ERP systems.

Blockchain-Integrated Internet-of-Things Architecture in Privacy Preserving for Large-Scale Healthcare Supply Chain Data

The supply chain forms the backbone of healthcare industry operations. The design and development of healthcare information systems (HIS) help different types of decision-making at various levels of business operations. Business process management decision-making is a complex task requiring real-time data collection from different operational sources. Hence, information technology (IT) infrastructure for data acquisition and sharing affects the operational effectiveness of the healthcare industry. The internet of things (IoT) applications have drawn significant research interest in the service of the healthcare industry. IoT technology aims to simplify the distributed data collection in healthcare practice, sharing, and processing of information and knowledge across many collaborating partners using suitable enterprise information systems. However, implementing blockchain technology in IoT-based data communication networks demands extra research initiatives. This chapter presents a review of security-related issues in the context of a HIS consisting of IoT-based blockchain technology.

Semantic Interoperability in Internet of Things

The industry's internet of things (IoT) applications have drawn significant research attention in recent decades. IoT is a technology in which intelligent objects with sensors-enabled RFID tags, actuators, and processors communicate information to cater to a meaningful purpose in the industry. This way, IoT technology aims to simplify the distributed data collection in industrial practice, sharing and processing information and knowledge across many collaborating partners using suitable enterprise information systems. This chapter describes new methods with grounded knowledge representation techniques to address the needs of formal information modeling and reasoning for web-based services. The chapter presents a framework, apparel business decentralized data integration (ABDDI), which uses knowledge representation methods and formal languages (e.g., description logics – DLs) to annotate necessary business activities. This type of web service requires increased interoperability in service management operations.

The impact of a manufacturing execution system on supply chain performance

Manufacturing Execution Systems (MES) are still rather unknown compared to their relatives, Enterprise Information Systems. To date, most research about MES focused on technical aspects and implementation approaches. In this paper, five statistical models are developed and a web-based survey among global Operations and Supply Chain managers from the manufacturing industry is conducted. Managers were invited to complete a questionnaire, where the central questions queried the mentioned performance metrics, but also other conditions like the presence of ERP or Lean practices. When comparing the means between companies with and without an MES, it shows that on each performance metric, MES-companies perform better than non-MES companies do. The results of the statistical analysis support the authors’ claim that companies with an MES in place outperform their competitors without an MES on the inventory- and logistics performance, as well as on Order Lead Time.

Proposal of a Tool for Determining Sub- and Main Dimension Indicators in Assessing Internal Logistics Readiness for Industry 4.0 within a Company

Key elements of Industry 4.0 are the digitization of products and production, enterprise information systems, robotic workplaces, communication infrastructure, and of course, employees. Industry 4.0 transforms production from stand-alone automated units to fully integrated automated and continuously optimized production environments. According to the prediction of Industry 4.0, new global networks will be created based on the interconnection of production equipment into CPS systems. These systems will be the basic building block of the so-called “smart factories”, and will be able to exchange information autonomously, trigger the necessary actions in response to current conditions and mutually independent inspections. The aim of this article is to describe the issue of readiness models for the Industry 4.0 concept, which are commonly used as tools for conceptualizing and measuring the maturity of an organization or process related to a specific target state. Characteristic for the models is their use because, on this basis, it is possible to identify the current readiness for the concept of Industry 4.0 comprehensively in the whole company or in various sub-areas.

Digital Ways of Working: PDO Knowledge Management Program

Petroleum Development of Oman (PDO) has grown rapidly over the past few years and is seen as an innovative organization and a leading company within the Middle East when it comes to applying best practice, adding value to the economical and societal development of the Sultanate of Oman through many Knowledge Management (KM) activities. As the Sultanate's leading Oil and gas exploration and production company it is the central engine of the Sultanate's economy. Key to the success of our Digital KM Program has been focus on the importance of developing the human intellectual capital elements to nurture, develop and sustain our people as key assets. PDO is aware of the potential value of the Enterprise Information and the robust data as showcased In the Figure-1 which can be transformed into knowledge that can be turned and can be used to gain the business benefits such as a competitive advantage, cost minimization, innovation.

Modelling of interrelationships amongst enterprise and inter-enterprise information system barriers affecting digitalization in electronics supply chain

PurposeThe process of supply chain digitalization (SCD) through enterprise and inter-enterprise information systems (EIIS) is a challenging task. Understanding and studying barriers of SCD adopting EIIS are essential for better management of supply chains (SCs) in the long run. This paper analyses the key EIIS adoption barriers affecting the process of SCD.Design/methodology/approach Fifteen key EIIS barriers of SCD in the context of an electronic SC were identified from existing literature and in consultation with experts from industry and academia. Grey-based decision-making trial and evaluation laboratory (DEMATEL) methodology is used to identify cause–effect relationship and extent of the strength of relationship amongst EIIS barriers. Sensitivity analysis is done to verify the robustness of the study.Findings EIIS barriers were classified into seven major cause factors and eight effect factors. This study provides a structural framework of key EIIS adoption barriers to decision makers by classifying barriers into cause and effect groups for effective SCD and better management.Originality/value This study contributes to SC literature by exploring key EIIS barriers affecting the process of SCD. These findings will also help the practitioners in effective decision making for digitalization.