Showing papers on "Information sharing published in 2017"
TL;DR: A critical assessment of the often exaggerated benefits of blockchain technology found in the literature is presented and a shift from a technology-driven to need-driven approach in which blockchain applications are customized to ensure a fit with requirements of administrative processes is pleaded.
686 citations
TL;DR: In this paper, the authors proposed and tested a theoretical framework to explain resilience in supply chain networks for sustainability using unstructured Big Data, based upon 36,422 items gathered in the form of tweets, news, Facebook, WordPress, Instagram, Google+, and YouTube, via responses from 205 managers involved in disaster relief activities in the aftermath of Nepal earthquake.
430 citations
TL;DR: In this article, the effect of information sharing has on financial sector development in 53 African countries for the period 2004 to 2011, and the empirical evidence is based on Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM).
Abstract: This study investigates the effect information sharing has on financial sector development in 53 African countries for the period 2004 to 2011. Information sharing is measured with private credit bureaus and public credit registries. Hitherto unexplored dimensions of financial sector development are employed, namely: financial sector dynamics of formalization, informalization, and non-formalization. The empirical evidence is based on Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM). The following findings are established. Information-sharing bureaus increase (reduce) formal (informal/non-formal) financial sector development. In order to ensure that information-sharing bureaus improve (decrease) formal (informal/non-formal) financial development, public credit registries should have between 45.45 and 50% coverage while private credit bureaus should have at least 26.25% coverage.
417 citations
TL;DR: This meta-analysis investigates privacy concerns and literacy as predictors of use of online services and social network sites, sharing information, and adoption of privacy protective measures and can be generalized across gender, cultural orientation, and national legal systems.
Abstract: This meta-analysis investigates privacy concerns and literacy as predictors of use of online services and social network sites (SNSs), sharing information, and adoption of privacy protective measures. A total of 166 studies from 34 countries (n = 75,269) were included in the analysis. In line with the premise of privacy paradox, privacy concerns did not predict SNS use. However, users concerned about privacy were less likely to use online services and share information and were more likely to utilize privacy protective measures. Except for information sharing, the relationships were comparable for intentions and behavior. Analyses also confirm the role that privacy literacy plays in enhancing use of privacy protective measures. The findings can be generalized across gender, cultural orientation, and national legal systems.
268 citations
24 Jul 2017
TL;DR: A blockchain based solution to address the problems of supply chain such as Double Marginalization and Information Asymmetry etc is proposed.
Abstract: Supply Chain Management systems provide information sharing and analysis to companies and support their planning activities. They are not based on the real data because there is asymmetric information between companies, then leading to disturbance of the planning algorithms. On the other hand, sharing data between manufacturers, suppliers and customers becomes very important to ensure reactivity towards markets variability. Especially, double marginalization is a widespread and serious problem in supply chain management. Decentralized systems under wholesale price contracts are investigated, with double marginalization effects shown to lead to supply insufficiencies, in the cases of both deterministic and random demands. This paper proposes a blockchain based solution to address the problems of supply chain such as Double Marginalization and Information Asymmetry etc.
181 citations
TL;DR: In this article, the authors investigated the interrelationships of argument quality, source credibility, and information seeking, entertainment, and relationship maintenance motives, and social media continuance usage and information sharing intentions.
160 citations
TL;DR: The study finds that compatibility, information capture, IT/IS knowledge of employee, top management support, information sharing, competitive pressure, cost, relative advantage, and customer pressure are the most important factors influencing social CRM adoption.
159 citations
TL;DR: This work considers the problem of sharing demand information in two competing supply chains, each consisting of one manufacturer and one retailer, and investigates whether the retailers compete on quantity or price, and whether or not the manufacturers are efficient in cost reduction.
Abstract: We consider the problem of sharing demand information in two competing supply chains, each consisting of one manufacturer and one retailer. Information sharing allows a manufacturer’s wholesale price to respond to demand signal, which benefits the supply chain if the manufacturer is efficient in cost reduction and hurts it otherwise. It also allows a manufacturer’s cost reduction level to respond to demand signal, which always benefits the supply chain. A supply chain that engages in information sharing triggers a reaction from the rival chain. Such a reaction may benefit or hurt the first supply chain, depending on whether the retailers compete on quantity or price, and whether or not the manufacturers are efficient in cost reduction. With quantity competition, information sharing occurs when the manufacturers are efficient in cost reduction. It is more likely to occur when either information is less accurate or competition is less intense. With price competition, information sharing occurs when either c...
159 citations
TL;DR: Wang et al. as mentioned in this paper proposed an information processing system comprising three components, namely risk information sharing, risk analysis and assessment, and risk sharing mechanism, to manage supply chain risk.
140 citations
TL;DR: In this article, the authors empirically explore antecedents associated with information sharing across multiple supply chain tiers and identify a total of 22 factors that are grouped into six categories: information utilization, technology utilization, power structures, culture, business process, and legal.
140 citations
TL;DR: This paper investigates a cloud-based paradigm of predictive maintenance based on mobile agent to enable timely information acquisition, sharing and utilization for improved accuracy and reliability in fault diagnosis, remaining service life prediction, and maintenance scheduling.
Abstract: Advances in cloud computing reshape the manufacturing industry into dynamically scalable, on-demand service oriented, and highly distributed cost-efficient business model. However it also poses challenges such as reliability, availability, adaptability, and safety on machines and processes across spatial boundaries. To address these challenges, this paper investigates a cloud-based paradigm of predictive maintenance based on mobile agent to enable timely information acquisition, sharing and utilization for improved accuracy and reliability in fault diagnosis, remaining service life prediction, and maintenance scheduling. In the new paradigm, a low-cost cloud sensing and computing node is firstly developed with embedded Linux operating system, mobile agent middleware, and open source numerical libraries. Information sharing and interaction is achieved by mobile agent to distribute the analysis algorithms to cloud sensing and computing node to locally process data and share analysis results. Comparing to the commonly used client---server paradigm, the mobile agent approach enhances the system flexibility and adaptability, reduces raw data transmission, and instantaneously responds to dynamic changes of operations and tasks. Finally, the presented cloud-based paradigm of predictive maintenance is validated on a motor tested system.
TL;DR: The authors examined the relationship between incidental and selective exposure and their consequent links to political information sharing across different levels of strength of political party affiliation and found that incidental exposure to counter-attitudinal information drives stronger partisans to more actively seek out like-minded political content, which subsequently encourages political informationsharing on social media.
Abstract: Political information sharing in social media offers citizens opportunities to engage with news and express their political views, but how do different patterns of online political information exposure, including both incidental and selective exposure, affect sharing? Using two-wave panel survey data collected in the United States, we examine the relationship between incidental and selective exposure and their consequent links to political information sharing, across different levels of strength of political party affiliation. Our results demonstrate that incidental exposure to counter-attitudinal information drives stronger partisans to more actively seek out like-minded political content, which subsequently encourages political information sharing on social media. The results highlight the need to consider both types of political information exposure when modeling citizens' political behavior online.
TL;DR: The network of topics uncovered presents a multidimensional discourse that accounts for complex causal links between climate change and its consequences and that emotionally arousing text was more likely to be shared.
Abstract: This article presents a study of the content, use of sources and information sharing about climate change analysing over 60,000 tweets collected using a random week sample. We discuss the potential for studying Twitter as a communicative space that is rich in different types of information and presents both new challenges and opportunities. Our analysis combines automatic thematic analysis, semantic network analysis and text classification according to psychological process categories. We also consider the media ecology of tweets and the external web links that users shared. In terms of content, the network of topics uncovered presents a multidimensional discourse that accounts for complex causal links between climate change and its consequences. The media ecology analysis revealed a narrow set of sources with a major role played by traditional media and that emotionally arousing text was more likely to be shared.
01 Jan 2017
TL;DR: It is demonstrated that incidental exposure to counter-attitudinal information drives stronger partisans to more actively seek out like-minded political content, which subsequently encourages political information sharing on social media.
TL;DR: This work provides an overview of the development and state-of-the-art of digital transformation in modern seaports in order to identify current potentials and barriers and presents a conceptual game theoretic framework that allows benefits and cost allocations considering inter-, intra- and meta-organizational perspectives.
Abstract: Digitalization is pushing the maritime industry beyond its traditional limits and provides many new opportunities to enhance the productivity, efficiency, and sustainability of logistics. The concept of smart ports, for instance, aims to adopt modern information technologies to enable a better planning and management within and between ports. Strong facilitators of the digitalization are investments into technology and cooperations for promoting information sharing and a better coordination and collaboration, often regarded as a stumbling block in highly competitive environments. Besides many new opportunities, important economic issues and problems arise. We provide an overview of the development and state-of-the-art of digital transformation in modern seaports in order to identify current potentials and barriers. Focusing on the crucial and challenging aspects of coordination and collaboration, we present a conceptual game theoretic framework that allows benefits and cost allocations considering inter-, intra-, and meta-organizational perspectives. We further demonstrate how this framework can be used to develop tools and methods for supporting strategic decision making for driving the digital transformation in seaports and addressing new economic issues and problems.
TL;DR: A unifying neurocognitive framework of mechanisms underlying information sharing at scale is presented, arguing that expectations regarding self-related and social consequences of sharing are integrated into a domain-general value signal, representing the value of information sharing, which translates into population-level virality.
Abstract: Information sharing is an integral part of human interaction that serves to build social relationships and affects attitudes and behaviors in individuals and large groups. We present a unifying neurocognitive framework of mechanisms underlying information sharing at scale (virality). We argue that expectations regarding self-related and social consequences of sharing (e.g., in the form of potential for self-enhancement or social approval) are integrated into a domain-general value signal that encodes the value of sharing a piece of information. This value signal translates into population-level virality. In two studies (n = 41 and 39 participants), we tested these hypotheses using functional neuroimaging. Neural activity in response to 80 New York Times articles was observed in theory-driven regions of interest associated with value, self, and social cognitions. This activity then was linked to objectively logged population-level data encompassing n = 117,611 internet shares of the articles. In both studies, activity in neural regions associated with self-related and social cognition was indirectly related to population-level sharing through increased neural activation in the brain9s value system. Neural activity further predicted population-level outcomes over and above the variance explained by article characteristics and commonly used self-report measures of sharing intentions. This parsimonious framework may help advance theory, improve predictive models, and inform new approaches to effective intervention. More broadly, these data shed light on the core functions of sharing—to express ourselves in positive ways and to strengthen our social bonds.
TL;DR: Drawing conclusions on how firms should manage the flow of travelers’ experience information and design smart tourism platforms is drawn.
01 Nov 2017
TL;DR: An architecture has been developed that combines Smart-M3 information sharing platform and blockchain platform that uses smart contracts for processing and storing information related to the interaction between smart space components.
Abstract: The development of robotics, the Internet of Things concept, big data processing techniques, automation, and distributed digital ledgers leads to the fourth industrial revolution. One of the main issues of new industry is interaction between the "smart factory" components both internally and with other factories based on the Internet of Things. This interaction should provide trust between the participants of the Internet of Things; control over the distribution of resources (such as maintenance time, energy, etc.) and finished products. The paper describes one of the possible ways of integrating Internet of Things and blockchain technologies to solve these issues. For this purpose, an architecture has been developed that combines Smart-M3 information sharing platform and blockchain platform. One of the main features of the proposed architecture is the use of smart contracts for processing and storing information related to the interaction between smart space components.
TL;DR: This paper considers a supply chain composed of one GPO and two manufacturers competing in quantity and presents a forecast-sharing-based compensation contracting scheme, under which, the GPO can make perfect supply chain coordination in both quantities and information sharing, and all members in the supply chain can reach win–win results.
TL;DR: This work proposes a full-connection model of product design and manufacturing in the IoT-enabled cloud manufacturing environment that uses social networks to connect multiple parties and facilitate open innovations, and uses IoT to glue physical space to cyber space and cloud manufacturing to provide various elastic services.
Abstract: Customized/personalized products are gaining more shares in today's product market. Such products need collective efforts from consumers, manufacturers and third parties. This requirement has not been well addressed due to both market and technology factors. On the other hand, the Internet of Things (IoT) provides real-time sensing/actuating ability and fast transmission capability of data/information, so that remote operation of manufacturing activities and efficient collaboration among stakeholders are greatly facilitated. This provides great opportunities to address the requirement mentioned above. Thus we propose a full-connection model of product design and manufacturing in the IoT-enabled cloud manufacturing environment. The proposed model uses social networks to connect multiple parties and facilitate open innovations, and use IoT to glue physical space to cyber space and cloud manufacturing to provide various elastic services, so that the on-demand workspace, interaction, information sharing or collective problem solving are enabled. We also propose a supporting infrastructure for this model using the latest information and communication technologies. Finally, we present a case study of an RFID enabled production system for customized and personalized product with the ability to enable a new paradigm of "dynamic processes and close collaborations among different roles" and ensure robust production.
TL;DR: This monograph divides information structure design into single agent and multiple agent models, and further subdivides the multiple agent case into the public channel and private channel modes of information revelation.
Abstract: Information structure design, also sometimes known as signaling or persuasion, is concerned with understanding the effects of information on the outcomes of strategic interactions (the descriptive question), and in characterizing and computing the information sharing strategies which optimize some design objective (the prescriptive question). Both questions are illuminated through the lens of algorithms and complexity, as evidenced by recent work on the topic in the algorithmic game theory community. This monograph is a biased survey of this work, and paints a picture of the current state of progress and challenges ahead.We divide information structure design into single agent and multiple agent models, and further subdivide the multiple agent case into the public channel and private channel modes of information revelation. In each of these three cases, we describe the most prominent models and applications, survey the associated algorithms and complexity results and their structural implications, and outline directions for future work.
TL;DR: The conceptualization of network features and refined knowledge about the situational and contextual effects of social media platforms are useful for further studies on social behaviors and may ultimately benefit platform providers in their attempts to promote information-sharing continuance.
TL;DR: A threat analytics framework based on Web Ontology Language (OWL) for formal specification, semantic reasoning, and contextual analysis, allowing the derivation of network associated threats from large volumes of shared threat feeds and outperforms other competing approaches in terms of efficiency and effectiveness.
TL;DR: A simple DDI strategy based on SMA for supply chains where information cannot be shared improves on NIS by reducing the Mean Square Error of the forecasts, and cutting inventory costs in the supply chain.
TL;DR: In this article, the authors discuss the challenge of retaining existing virtual travel communities (VTCs) as influential venues for tourism information sharing, with the increasing number of VTCs and low switching cost, it is challenging to retain exis...
Abstract: Virtual travel communities (VTCs) are now popular and influential venues for tourism information sharing. With the increasing number of VTCs and low switching cost, it is challenging to retain exis...
TL;DR: In this article, the authors explore the patterns of traveler food sharing on social media and find that the proliferation of social media offers new avenues for understanding traveler information sharing behavior, and the purpose of their study was to explore the pattern of traveler eating behaviors.
Abstract: The proliferation of social media offers new avenues for understanding traveler information sharing behavior. The purpose of this study was to explore the patterns of traveler food sharing ...
TL;DR: A research model is developed to investigate the factors (affective cues in particular) that drive users to instantly share information on microblogs and explores the moderating role of gender and the results confirm the positive effects of informational, ambient, and social interactivity cues on individuals positive emotion, which subsequently promotes their urge to share information to microblogs.
Abstract: An impulsive-based model is proposed to explain instant information sharing.Information uniqueness and social interactivity increase positive emotion and urge.Males are stimulated by information uniqueness and information crowding.Social interactivity plays a dominant role in sparking the urge for female users.Males experience more positive emotion and engage in impulsive information sharing. Instant information sharing on microblogs is important for promoting social awareness, influencing customer attitudes, and providing political and economic benefits. However, research on the antecedents and mechanisms of such instant information sharing is limited. To address that issue, this study develops a research model to investigate the factors (affective cues in particular) that drive users to instantly share information on microblogs and explores the moderating role of gender. An online survey was conducted on a microblogging platform to collect data for testing the proposed research model and hypotheses. The results confirm the positive effects of informational (i.e., information uniqueness), ambient (i.e., information crowding), and social (i.e., social interactivity) cues on individuals positive emotion, which subsequently promotes their urge to share information on microblogs. Moreover, the moderating effects of gender are identified. This study contributes to the understanding of instant information sharing from an impulsive behavior perspective. The results also provide important insights for service providers and practitioners who wish to promote instant information sharing on microblogs.
TL;DR: In this article, the authors developed actionable design propositions for collaborative sales and operations planning (S&OP) based on the observation of contexts in which benefits are generated or absent from retail information sharing for a manufacturer.
TL;DR: In this paper, the benefits of information sharing in a closed-loop supply chain with a manufacturer, a distributor and a third party under technology licensing were analyzed, and it was shown that information sharing always results in a profit increase to the manufacturer and the third party, whilst a profit loss to the distributor.
TL;DR: The main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare are presented and the necessity to form a semantic core which acts as the carrier of knowledge in a digital sector ecosystem is confirmed.
Abstract: Yury M. Akatkin - Head of Laboratory of Social-Demographic Statistics, Plekhanov Russian University of EconomicsAddress: 36, Stremyanny Lane, Moscow, 117997, Russian FederationE-mail: u.akatkin@semanticpro.orgOleg E. Karpov - Corresponding Member, Russian Academy of Sciences; General Director of Pirogov National Medical-Surgical CenterAddress: 70, Nizhnyaya Pervomaiskaya Street, Moscow, 105203, Russian FederationE-mail: nmhc@mail.ruValery A. Konyavskiy - Head of Information Security Department, Moscow Institute of Physics and TechnologyAddress: 1A, Kerchenskaya Street, Moscow, 117303, Russian FederationE-mail: konyavskiy@gospochta.ruElena D. Yasinovskaya - Senior Researcher, Laboratory of Social-Demographic Statistics, Plekhanov Russian University of EconomicsAddress: 36, Stremyanny Lane, Moscow, 117997, Russian FederationE-mail: elena@semanticpro.org The main objective of digital transformation is to fulfill the needs of a “new digital generation customer” for on-demand delivery, quality and personalization. ”Anything as a service” has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defined the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the efforts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge economy is the basis for the digital economy, the authors consider it especially important to form a semantic core which acts as the carrier of knowledge in a digital sector ecosystem. We confirmed the necessity to implement the semantic core by a brief analysis of modern semantic approaches to standardization of information sharing in the above-mentioned industries, such as FIBO, BIAN (banking), HL7 and UMLS (health). The research carried out allowed the authors to design the conceptual architecture of the ecosystem and to suggest several proposals for digital transformation of an industry. The proposals express the necessity of state support for innovation and providing the conditions for the entry of new digital products based on the following principles: accessibility, timeliness, personalization, adaptability and security.