Information Flow Approach Research Articles

Presenting an open data management (ecosystem) model with developing innovative information flow approach in Iranian knowledge-based companies

PurposeThis study aimed to present a model for open-data management for developing innovative information flow in Iranian knowledge-based companies (businesses).Design/methodology/approachThe method was mixed (qualitative-quantitative) and data collection tools were interview and questionnaire. The qualitative part was done to identify the influential components in open data management (ecosystem) using the grounded theory method. A questionnaire was developed based on the results of the qualitative section and the theoretical foundations, and the quantitative section was conducted by analytical survey method and the model was extracted using factor analysis and the integration of the qualitative section.FindingsSeven categories of entrepreneurial incentives, sustainable value, innovative features, challenges and barriers, actors, business model and requirements are the main categories that should be considered in open data management (ecosystem) with all categories of research have a significant relationship with open data management.Originality/valueThe study focused on open data management from an innovation paradigm perspective and its role in developing innovative information flow. The study aimed to identify the key components of the open data ecosystem, open-data value creation, and the need to use the “open data” approach to develop data-driven and knowledge-based businesses in Iran–an emerging approach largely ignored.

Is there a causal relationship between Particulate Matter ([formula omitted]) and air Temperature data? An analysis based on the Liang–Kleeman information transfer theory

In the literature, it is well known that mineral dust play a key role in the atmospheric radiation budget. How to identify the cause–effect relationship between mineral dust and climatic parameters remains a crucial issue in atmospheric science and environment. In this study, the causal relation between particulate matter that have an aerodynamic diameter less than 10 μm diameter (PM10) and air Temperature (T) is investigated for different time scales. For this purpose, two normalization schemes based on San Liang (2014)’s information flow formula and the classical convergent cross mapping introduced by Sugihara et al. (2012) were applied to eleven years of daily time series recorded in Guadeloupe archipelago. Both methods showed there is a bidirectional causality between the studied parameters. Indeed, we noticed that PM10 concentrations tend to stabilize T values. This phenomenon has been attributed to a greenhouse effect which is strongly linked to African dust seasonality. During the high dust season, this effect is 13.2 times greater than in the low season. On the other hand, we found that T values tend to make PM10 concentrations more uncertain in the low dust season while they homogenize PM10 fluctuations in the high season. All these behaviors could be assigned to the impact of T values on PM10 dry deposition velocity. To conclude, our results showed that information flow approach is an efficient tool to extract the cause–effect relationship between two dynamical events in atmospheric science, i.e. a field where several parameters interact simultaneously.

AT-DIFC + : Toward Adaptive and Trust-Aware Decentralized Information Flow Control

Modern software systems and their corresponding architectures are increasingly decentralized, distributed, and dynamic. As a consequence, decentralized mechanisms are required to ensure security in such architectures. Decentralized Information Flow Control (DIFC) is a mechanism to control information flow in distributed systems. This article presents and discusses several improvements to an adaptive decentralized information flow approach that incorporates trust for decentralized systems to provide security. Adaptive Trust-Aware Decentralized Information Flow (AT-DIFC + ) combines decentralized information flow control mechanisms, trust-based methods, and decentralized control architectures to control and enforce information flow in an open, decentralized system. We strengthen our approach against newly discovered attacks and provide additional information about its reconfiguration, decentralized control architectures, and reference implementation. We evaluate the effectiveness and performance of AT-DIFC + on two case studies and perform additional experiments and to gauge the mitigations’ effectiveness against the identified attacks.

Exchange Rate Forecasting with Information Flow Approach

The purpose of this article is to assess exchange rate forecasting possibilities with an information flow approach model. In the model the three types of information flows are distinguished: fundamental analysis information flow through particular macroeconomic determinants, microstructure approach information flow through dealer clients’ positioning data, technical analysis information flow through technical indicators. By using regression analysis it is shown that the composed model can forecast the exchange rate, the most significant information flows are distinguished. The results lead to further development of the information flow approach as a tool to forecast exchange rate fluctuations.

A Review of Information Flow Control in Composite Services

Service computing facilitates resource sharing and business collaboration for cross-domain partiers by universal service description and discovery. The multi-domain nature of service oriented environments introduces challenging security issues, especially with regard to information flow control which controls the flow of privacy resources. This paper presents a state-of-the-art review of information flow control technology in service oriented environments. We review the research background and classifications of information flow control, and discuss architecture and existing technologies of both centralized and distributed information flow approach. We outline the features, advantages and limitations of existing information flow control approaches. The analysis results show that the research of collaboration and dynamic nature are important, but insufficient to secure information flow.

”BOTTOM-UP” AND ”TOP-DOWN” APPROACH FOR DEFINING ROAD SAFETY STRATEGY - CASE STUDY: CITY OF BELGRADE

The forming process of road safety strategy is quite complex because it implies a system approach that consists of several more or less complex steps. The analysis of the existing situation, defining the problem and creating a strategic document are the basic steps in forming road safety strategy. Each one of the mentioned steps involves several activities that must be carried out. Implementation, monitoring and revision are the next steps in a life cycle of the strategy, which provide continuous monitoring and adjustment of actions and programs for road safety improvement. In this study, on the example of the strategic document for the city of Belgrade, the concept of defining strategy and key areas of road safety strategy, which uses a top-down and bottom-up information flow approach, was shown. The specificity of strategy creation lays in the fact that the city of Belgrade consists of 10 urban and 7 rural municipalities, therefore it was necessary to find a model of strategic document that would include all the problems in the city but in also in all 17 municipalities. The model presented in this study provides the creation of a so-called overarching strategic document and 17 action plans, for each of the municipalities, and the overarching document is obtained by the so-called ''overlap'' 17 action plans.

Change Management: An Information Flow Approach

Industries use information in common ways to facilitate change initiatives. A review of change management models by John Kotter, Einar Iveroth, Michael Beer, Russel Eisenstat, Bert Spector, Wanda Orlikowski, and J. Hofman were completed. These were then synthesized into a new Information Flow Model. The Information Flow Model focuses on information flow and commonality being the drivers of successful change. This model was validated using three individual interviews with director level or above personnel from differing industries. The interviews did validate the new Information Flow Model and its focus. Additional recommendations for future analyses were provided.