Towards a theoretical framework of strategic decision, supporting capability and information sharing under the context of Internet of Things

2012 ◽  
Vol 13 (4) ◽  
pp. 205-216 ◽  
Author(s):  
Yuan Li ◽  
Mingjun Hou ◽  
Heng Liu ◽  
Yi Liu
Keyword(s):  
Internet Of Things ◽  
Information Sharing ◽  
Theoretical Framework ◽  
Strategic Decision ◽  
Decision Supporting

scholarly journals Introducing an Intelligent Goods Service Framework

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 54
Author(s):  
Åse Jevinger ◽  
Carl Magnus Olsson
Keyword(s):  
Internet Of Things ◽  
Information Sharing ◽  
Theoretical Framework ◽  
Legacy Systems ◽  
Direct Integration ◽  
Literature Study ◽  
Innovative Solutions ◽  
Service Framework

With the increasing diffusion of Internet of Things (IoT) technologies, the transportation of goods sector is in a position to adopt novel intelligent services that cut across the otherwise highly fragmented and heterogeneous market, which today consists of a myriad of actors. Legacy systems that rely upon direct integration between all actors involved in the transportation ecosystem face considerable challenges for information sharing. Meanwhile, IoT based services, which are designed as devices that follow goods and communicate directly to cloud-based backend systems, may provide services that previously were not available. For the purposes of this paper, we present a theoretical framework for classification of such intelligent goods systems based on a literature study. The framework, labelled as the Intelligent Goods Service (IGS) framework, aims at increasing the understanding of the actors, agents, and services involved in an intelligent goods system, and to facilitate system comparisons and the development of new innovative solutions. As an illustration of how the IGS framework can be used and contribute to research in this area, we provide an example from a direct industry–academia collaboration.

scholarly journals A deep learning platooning-based video information-sharing Internet of Things framework for autonomous driving systems

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988313 ◽  
Author(s):  
Zishuo Zhou ◽  
Zahid Akhtar ◽  
Ka Lok Man ◽  
Kamran Siddique
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Deep Learning ◽  
Internet Of Things ◽  
Information Sharing ◽  
Communication Technology ◽  
Empirical Evaluation ◽  
Traffic Lights ◽  
Video Information ◽  
Safety And Stability

To enhance the safety and stability of autonomous vehicles, we present a deep learning platooning-based video information-sharing Internet of Things framework in this study. The proposed Internet of Things framework incorporates concepts and mechanisms from several domains of computer science, such as computer vision, artificial intelligence, sensor technology, and communication technology. The information captured by camera, such as road edges, traffic lights, and zebra lines, is highlighted using computer vision. The semantics of highlighted information is recognized by artificial intelligence. Sensors provide information on the direction and distance of obstacles, as well as their speed and moving direction. The communication technology is applied to share the information among the vehicles. Since vehicles have high probability to encounter accidents in congested locations, the proposed system enables vehicles to perform self-positioning with other vehicles in a certain range to reinforce their safety and stability. The empirical evaluation shows the viability and efficacy of the proposed system in such situations. Moreover, the collision time is decreased considerably compared with that when using traditional systems.

Context information sharing for the Internet of Things: A survey

2020 ◽  
Vol 166 ◽  
pp. 106988 ◽  
Author(s):  
Everton de Matos ◽  
Ramão Tiago Tiburski ◽  
Carlos Roberto Moratelli ◽  
Sergio Johann Filho ◽  
Leonardo Albernaz Amaral ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Information Sharing ◽  
The Internet ◽  
Context Information ◽  
The Internet Of Things

scholarly journals HOW TO MITIGATE RISKS OF BULLYING INVASION WHILE CREATING ORGANIZATION’S FUTURE UNDER HIGH UNCERTAINTY?

2018 ◽  
Vol 40 (1) ◽  
pp. 85-90 ◽  
Author(s):  
Eglė Stonkutė ◽  
Jolita Vveinhardt
Keyword(s):  
Side Effects ◽  
Theoretical Analysis ◽  
Information Sharing ◽  
Theoretical Framework ◽  
Organizational Changes ◽  
Organizational Processes ◽  
Strategic Changes ◽  
High Uncertainty

Organizations are constantly reinventing themselves and going through continuous organizational changes what, if mismanaged, can result in bullying. If bullying is mismanaged it can result in disfunctioning organizational processes. The main aim of this research is to develop theoretical framework on how to mitigate the risks of bullying invasion while creating organization‘s future under high uncertainty. The theoretical analysis of organization’s future creation and that of bullying in a context of high uncertainty is undertaken. It is revealed that to cope with the potential “side effects” of continuous strategic changes, organizations need to institutionalize bullying, ensure effective information sharing and communication.

scholarly journals Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Collaborative Management ◽  
Computing Technology ◽  
Chain Management ◽  
Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

Internet of Things (IoT) to Foster Communication and Information Sharing

2021 ◽  
pp. 1-20
Author(s):  
Mohammed Banu Ali
Keyword(s):  
Higher Education ◽  
Collaborative Learning ◽  
Internet Of Things ◽  
Learning Environment ◽  
Information Sharing ◽  
Higher Education Institutions ◽  
Emerging Technology ◽  
Technology In Education ◽  
Collaborative Learning Environment

IoT is a rapidly emerging technology in education that attracts researchers, students, and administrators. This chapter reviews the opportunities and challenges of the IoT to determine whether there are potential communication and information sharing cultures in higher education institutions (HEIs). Despite the findings revealing stakeholders' demand for a better collaborative learning environment and better information sharing capabilities, IoT has various security and interoperability concerns that present an unattractive prospect for HE stakeholders to embrace IoT. IoT has the potential to meet HEIs system expectations, though stakeholders remain distant toward embracing IoTs. This indicates that stakeholders are not ready to embrace IoTs, thus prompting the need to study why stakeholders are resistant towards the IoT.

Understanding the elements and outcomes of executive wisdom: A strategic approach

2013 ◽  
Vol 19 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Robert W Kolodinsky ◽  
Paul E Bierly
Keyword(s):  
Social Performance ◽  
Leadership Skills ◽  
Organizational Management ◽  
Theoretical Framework ◽  
Strategic Decision ◽  
Specific Context ◽  
Prior Learning ◽  
Top Managers ◽  
Strategic Approach ◽  
Core Components

AbstractThe purpose of this paper is to: (a) offer rationale for the importance of an increasingly important organizational management topic – the wisdom of top managers – what we call executive wisdom; (b) develop a theoretical framework for the construct, including core components and outcomes, and (c) provide implications for practice. The research in several related literatures is reviewed and synthesized to provide the foundation for the development of this theoretical framework. Applying the extant literature on wisdom to the specific context of a top-level business manager, we argue that there are four foundational characteristics of executive wisdom: (1) Knowledge, developed by prior learning and experience, (2) moral maturity, (3) reflective strategic decision-making, and (4) ability to manage uncertainty. Executives possessing such characteristics are: (a) able to make enlightened strategic judgments that are (b) implemented as principled actions. The effectiveness of such implementation is contingent upon, among other moderators, the executive's leadership skills. We view each of the characteristics as necessary but not sufficient to possess and benefit from executive wisdom. The principled actions undertaken by those possessing executive wisdom will, when compared to other executives, have a greater likelihood of leading to valued outcomes indicative of organizational effectiveness, including enhanced stakeholder trust and loyalty, reputational capital, and stronger financial and social performance. We believe that the main arguments developed in this paper will help improve managers’ understanding of how to become a wise executive and to realize the benefits of doing so. From a theory perspective, this paper adds to the growing body of literature in a new and increasingly valued area of research.

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