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Master's Thesis from the year 2022 in the subject Business economics - Supply, Production, Logistics, grade: 1.8, University of Applied Sciences Bremen, language: English, abstract: This study explores the effect of Internet of Things (IoT) on supply chain integration and performance in the automotive industry of Germany. The dataset comprises a quantitative survey and a sample size of 50 employees in the automotive industry of Germany. The IoT is a next generation of Internet connected embedded ICT systems in a digital environment to seamlessly integrate supply chain and logistics processes. Integrating emerging IoT into the current ICT systems can be unique because of its intelligence, autonomous and pervasive applications for better organizational performance. The obtained data from a structured questionnaire, which was built on a 5-point Likert scale, was analyzed by the use of Linear Regression. The analysis of the study was enacted by using STATA (15.0) statistical software to excerpt the results. The proposed model was blueprinted based on relationship marketing theory, resource-based view theory, contingency theory, and related literature. Before estimating the main results, preliminary analysis such as descriptive statistics, correlation analysis, validity and reliability of the instruments, multi-collinearity test and model fitness were done to provide initial justification and appropriateness of the instruments and the methods chosen to test the proposed relationships guiding the study.
Scientific Essay from the year 2015 in the subject Business economics - Operations Research, Comenius University in Bratislava (Faculty of Management), language: English, abstract: In this paper, the IoT concept is examined and its potential effects on traditional supply chain management appraised, with particular emphasis on the automotive industry. The Internet of Things (IoT), comprising millions of interconnecting communication devices, linked via the internet, and enabling information sharing globally (Davenport, 2013), is a growing reality and one likely to change the shape of supply chain management. A report by Gartner (2014) predicts that IoT, a disruptive technology (Christensen, 2015), will completely transform logistics, and the report forecasts a thirty-fold increase in internet-connected physical devices by 2020. IoT will support the assembly and communication of supply chains in previously unknown ways, and therefore impact on how information is accessed and shared by supply chain managers, according to Gartner (2014).
This book identifies factors of information system (IS) integration that influence supply chain agility and illustrates how IS integration can achieve greater supply chain agility. Also considering the consequent operational impacts that arise from IS-enabled supply chain agility, the author presents real-life examples through interviews and surveys to explore how IS integrations affect supply chain agility in the context of the Chinese automotive industry. The ability to swiftly respond to competitive challenges is a key element in industry 4.0 and organisations with agile supply chains are better prepared to respond to uncertainties and changes. This book develops and presents guidelines on the deployment of information system integration in order to achieve efficient agile supply chains.
To survive and thrive in the competition, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of suppliers and customers. Internet based technologies, particularly interorganizational systems, further extend the firms’ opportunities to strengthen their supply chain partnerships and share real-time information to optimize their operations. Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture explores the nature and characteristics, antecedents, and consequences of supply chain collaboration from multiple theoretical perspectives. Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture conceptualizes supply chain collaboration as seven interconnecting elements including information sharing, incentive alignment, goal congruence, decision synchronization, resource sharing, as well as communication and joint knowledge creation. These seven components define the occurrence of collaborative efforts and allow us to explain supply chain collaboration more precisely. Collaborative advantages are also divided into five components to capture the joint competitive advantages and benefits among supply chain partners. The definitions and measures developed here examine some central issue surrounding supply chain development but this is also followed up with real-life managerial practicalities. This balance of theory and practical application makes Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture a strong resource for industry practitioners and researchers alike.
This book constitutes the proceedings papers from the 17th European, Mediterranean, and Middle Eastern Conference on Information Systems, EMCIS 2020, held in Dubai, UAE, in November 2020. Due to the COVID-19 pandemic the conference took place virtually. EMCIS focuses on approaches that facilitate the identification of innovative research of significant relevance to the Information Systems discipline following sound research methodologies that lead to results of measurable impact. The 56 papers presented in this volume were carefully reviewed and selected from a total of 161 submissions to the main conference. They are grouped in section on Big Data and Analytics, Blockchain Technology and Applications, Digital Government, Digital Services and Social Media, Emerging Computing Technologies and Trends for Business Process Management, Enterprise Systems, Healthcare Information Systems, Information Systems Security and Information Privacy Protection, Innovative Research Projects, Management and Organisational Issues in Information Systems.
This book presents a selection of the best papers given at the XXIV International Conference on Industrial Engineering and Industrial Management. The conference is promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización) and organized by the Universidad Politécnica de Madrid and the Universidad Carlos III de Madrid. It took place at the Universidad Carlos III de Madrid (Leganés, Spain) in July 2020. Ensuring Sustainability embodies the latest advances in research and cutting-edge analyses of real case studies in industrial engineering and operations management from diverse international contexts. It also identifies business applications for the latest findings and innovations in operations management and the decision sciences.
In order to improve competitiveness and performance, corporations must embrace advancements in digitalization. Successful implementation of knowledge management is a huge factor in corporate success. Analyzing the Impacts of Industry 4.0 in Modern Business Environments is a critical scholarly publication that explores digital transformation in business environments and the requirement for not only a substantial management change plan but equally the two essential components of knowledge management: knowledge sharing and knowledge transfer. Featuring a broad range of topics such as strategic planning, knowledge transfer, and cybersecurity risk management, this book is geared toward researchers, academicians, and students seeking current and relevant research on organizational knowledge intensity and monitoring of knowledge management development.
The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.