scholarly journals Spatial-temporal business partnership selection in uncertain environments

2015 ◽  
Vol 43 (4) ◽  
pp. 353-361 ◽  
Author(s):  
António Arrais-Castro ◽  
Maria Varela ◽  
Rita Ribeiro ◽  
Goran Putnik
Keyword(s):  
Uncertain Environments ◽  
Business Partnership ◽  
Partnership Selection

Partnership Management, Supply Chain Collaboration, and Firm Innovation Performance: An Empirical Examination

2015 ◽  
Vol 7 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Zhang Hui ◽  
Wang He-Cheng ◽  
Zhou Min-Fei
Keyword(s):  
Supply Chain ◽  
Yangtze River Delta ◽  
Positive Influence ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Supply Chain Collaboration ◽  
Uncertain Environments ◽  
Firm Innovation ◽  
Empirical Examination ◽  
Partnership Selection

Facing uncertain environments, firms have strived to achieve competitive advantage by partnership management and supply chain collaboration. The objective of the research is to uncover the nature of partnership management and explore its impact on supply chain collaboration and firm innovation performance. The research divides partnership management into three stages: partnership selection, partnership establishment, and partnership sustention. The research constructs the influence mechanism of partnership management on supply chain collaboration and innovation performance. By questionnaire of 133 manufacturing enterprises in the Yangtze River Delta of China, and using SPSS statistical analysis, the empirical results show that partnership selection, partnership establishment, and partnership sustention have significantly positive influence on supply chain collaboration and innovation performance; supply chain collaboration has a complete mediating effect between partnership election, partnership establishment, and innovation performance; and supply chain collaboration has a partial mediating effect between partnership sustention and innovation performance. The research reveals the construct mechanism of firms’ improving innovation performance through partnership management.

Pengembangan Kemitraan Koperasi, Usaha Mikro Dan Kecil (KUMK) Dengan Usaha Menengah/Besar Untuk Komoditi Unggulan Lokal

2019 ◽  
Vol 9 (1) ◽  
pp. 53-66 ◽  
Author(s):  
Dandan Irawan
Keyword(s):  
Business Performance ◽  
The Other ◽  
Economic Conditions ◽  
Small Enterprises ◽  
Business Partnerships ◽  
Short Term ◽  
Business Partnership ◽  
Structure Factors ◽  
Micro And Small Enterprises ◽  
Business Entities

Basically a natural partnership will achieve its goal if mutual requirements, mutual reinforcement, and mutual benefit can be maintained and made a strong fundamental commitment among partners. Nevertheless the development seems very slow. The cause is the presence of specific and different conditions and structure factors compared to other countries. Along with that, we still encounter various forms of gaps, such as inequality among regions, among income groups, between sectors, among economic actors, and so forth. The next problem is that in business entities including cooperatives and micro and small enterprises in running their business activities requires business partnerships with medium and large enterprises in order to improve business performance and business scale. While on the other hand our economic conditions and structures are not yet fully conducive to fostering partnerships based on purely business considerations or competitive market motivations but the business partnership of the foundation is strong enough in our country's constitution. Partnerships will work if partners are equally benefiting. Our concept of partnership is like that, although in the short term, there is a party or a party benefiting more from the other side.

Context-Driven Proactive Decision Support for Hybrid Teams

AI Magazine ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 41-57
Author(s):  
Manisha Mishra ◽  
Pujitha Mannaru ◽  
David Sidoti ◽  
Adam Bienkowski ◽  
Lingyi Zhang ◽  
...  
Keyword(s):  
Decision Support ◽  
Situational Awareness ◽  
Feature Space ◽  
Human Interaction ◽  
Superior Performance ◽  
Uncertain Environments ◽  
Cognitive States ◽  
Contextual Elements ◽  
Human Operators ◽  
Smart Machine

A synergy between AI and the Internet of Things (IoT) will significantly improve sense-making, situational awareness, proactivity, and collaboration. However, the key challenge is to identify the underlying context within which humans interact with smart machines. Knowledge of the context facilitates proactive allocation among members of a human–smart machine (agent) collective that balances auto­nomy with human interaction, without displacing humans from their supervisory role of ensuring that the system goals are achievable. In this article, we address four research questions as a means of advancing toward proactive autonomy: how to represent the interdependencies among the key elements of a hybrid team; how to rapidly identify and characterize critical contextual elements that require adaptation over time; how to allocate system tasks among machines and agents for superior performance; and how to enhance the performance of machine counterparts to provide intelligent and proactive courses of action while considering the cognitive states of human operators. The answers to these four questions help us to illustrate the integration of AI and IoT applied to the maritime domain, where we define context as an evolving multidimensional feature space for heterogeneous search, routing, and resource allocation in uncertain environments via proactive decision support systems.

scholarly journals Designing Multi-Agent System Organisations for Flexible Runtime Behaviour

2020 ◽  
Vol 10 (15) ◽  
pp. 5335
Author(s):  
Kathleen Keogh ◽  
Liz Sonenberg
Keyword(s):  
Design Method ◽  
Multi Agent System ◽  
Improve Performance ◽  
Uncertain Environments ◽  
Agent System ◽  
Meta Model ◽  
Design Time ◽  
Organisational Support ◽  
Multi Agent ◽  
Associated Design

We address the challenge of multi-agent system (MAS) design for organisations of agents acting in dynamic and uncertain environments where runtime flexibility is required to enable improvisation through sharing knowledge and adapting behaviour. We identify behavioural features that correspond to runtime improvisation by agents in a MAS organisation and from this analysis describe the OJAzzIC meta-model and an associated design method. We present results from simulation scenarios, varying both problem complexity and the level of organisational support provided in the design, to show that increasing design time guidance in the organisation specification can enable runtime flexibility afforded to agents and improve performance. Hence the results demonstrate the usefulness of the constructs captured in the OJAzzIC meta-model.

scholarly journals Tourism Development in Post-Industrial Facilities as a Regional Business Model

2021 ◽  
Vol 13 (4) ◽  
pp. 2028
Author(s):  
Marek Jóźwiak ◽  
Patrycja Sieg
Keyword(s):  
Business Model ◽  
Tourism Development ◽  
Legal Aspects ◽  
Industrial Facilities ◽  
Business Partnership ◽  
Post Industrial ◽  
The Impact ◽  
The City

In the article presented, the authors have attempted to define the development of post-industrial facilities, on the example of a thematic trail located in Bydgoszcz, as well as to assess the impact of this route on the city’s attractiveness. The TeH2O thematic trail is an example of a business model that utilizes post-industrial facilities for the development of a business partnership between the route facilities, the objects located in the vicinity, as well as the route participants. The article discusses the use of post-industrial facilities for tourist purposes and the legal aspects associated with the process of transforming such facilities. This paper presents the results of a research carried out on two groups of respondents, i.e., the residents of the city of Bydgoszcz and the tourists who have visited or are about to visit the city of Bydgoszcz. As a result of the research carried out, it has been found that the thematic trail examined affects the attractiveness of the city of Bydgoszcz. Both the respondents from the city of Bydgoszcz as well as the tourists visiting the city acknowledged it. The TeH2O thematic trail is more popular among the inhabitants of Bydgoszcz than among the visitors.

scholarly journals Interacting with volatile environments stabilizes hidden-state inference and its brain signatures

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aurélien Weiss ◽  
Valérian Chambon ◽  
Junseok K. Lee ◽  
Jan Drugowitsch ◽  
Valentin Wyart
Keyword(s):  
Cognitive Processes ◽  
Learning Task ◽  
Human Learning ◽  
Sensory Cues ◽  
Uncertain Environments ◽  
Behavioral Difference ◽  
Neural Interaction ◽  
Degree Of Control ◽  
Uncertain Outcomes ◽  
State Inference

AbstractMaking accurate decisions in uncertain environments requires identifying the generative cause of sensory cues, but also the expected outcomes of possible actions. Although both cognitive processes can be formalized as Bayesian inference, they are commonly studied using different experimental frameworks, making their formal comparison difficult. Here, by framing a reversal learning task either as cue-based or outcome-based inference, we found that humans perceive the same volatile environment as more stable when inferring its hidden state by interaction with uncertain outcomes than by observation of equally uncertain cues. Multivariate patterns of magnetoencephalographic (MEG) activity reflected this behavioral difference in the neural interaction between inferred beliefs and incoming evidence, an effect originating from associative regions in the temporal lobe. Together, these findings indicate that the degree of control over the sampling of volatile environments shapes human learning and decision-making under uncertainty.

Human resource capabilities in uncertain environments

2021 ◽  
pp. 1-27
Author(s):  
Misagh Tasavori ◽  
Nayereh Eftekhar ◽  
Ghanbar Mohammadi Elyasi ◽  
Reza Zaefarian
Keyword(s):  
Human Resource ◽  
Uncertain Environments
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