Improvement of Market Economy Management Measures for Innovative Enterprises under Block Chain Technology

In order to solve the financing difficulties of innovative Small and Medium Enterprise (SMEs) in the financial and economic field, this research proposes a market economy management measure for innovative enterprises, namely the enterprise credit information sharing model based on block chain technology. Firstly, the problems existing in the sharing model based on block chain technology are analyzed, and the basic model framework of block chain is adopted to improve the sharing model. Secondly, according to the improved Practical Byzantine Fault Tolerance (PBFT) consensus mechanism, the simulation experiment design of the credit information sharing model of enterprise market economy management measures is carried out. Finally, the improved sharing model proposed in this research is evaluated in terms of fault tolerance and throughput. The results show that the improved market economy management measures based on block chain technology in this research can meet certain fault tolerance rate, and the throughput is relatively stable. To some extent, it can meet the needs of credit information trading and sharing, and solve the difficulties of enterprise information sharing and low efficiency of data exchange

Knowledge-based System to Support Architectural Design. Intelligent objects, project net-constraints, collaborative work

The architectural design business is marked by a progressive increase in operators all cooperating towards the realization of building structures and complex infrastructures (Jenckes, 1997). This type of design implies the simulta-neous activity of specialists in different fields, often working a considerable dis-tance apart, on increasingly distributed design studies. Collaborative Architectural Design comprises a vast field of studies that em-braces also these sectors and problems. To mention but a few: communication among operators in the building and design sector; design process system logic architecture; conceptual structure of the building organism; building component representation; conflict identification and management; sharing of knowledge; and also, user interface; global evaluation of solutions adopted; IT definition of objects; inter-object communication (in the IT sense). The point of view of the research is that of the designers of the architectural arte-fact (Simon, 1996); its focus consists of the relations among the various design operators and among the latter and the information exchanged: the Building Objects. Its primary research goal is thus the conceptual structure of the building organ-ism for the purpose of managing conflicts and developing possible methods of resolving them

The influence of locative media on social information sharing: a review

Mobile phones and social media enable people to share information with others whenever they want, wherever they want. More recent developments allow people to augment their sharing experience by geo-tagging their information through GPS enabled phones. These 'locative media' can be used to facilitate navigation, way finding or to obtain information about a physical place or object. Other services let the users tag, rate public spaces and recommend them to other people. Furthermore, people can tell their stories by attaching their own context to a physical location. This report is a literature review in the field of locative media. In order to get a complete overview of the research that is done on location-based social networking, the most recent developments in the field are investigated. We also look at research methods used to test the user experience of this type of social media systems. Furthermore, we investigate the influence of location based media on the sharing habits and social practices of the users of these systems. The conclusions of this exploration in the field of locative media research lead to design guidelines and research methods that will be used in a user evaluation of a system for location based smart photo sharing

Industry and Public Sector Cooperation for Information Sharing Ports of Puget Sound

(MIST Puget Sound)This report presents the findings of the Maritime Information Sharing Taskforce (MIST) research effort for the Washington State Puget Sound ports. Using a participatory design approach, the researchers partnered with federal and commercial stakeholders to assess the information sharing needs of security personnel in this port region. The research design included an issues workshop, field studies of port personnel, and local networking events. The findings indicate the need for increased interagency collaboration in maritime domain awareness (MDA) and highlight local recommended practices and incentives for information sharing with the private sector. In addition, we gathered usability data on two federal policies/programs. The Maritime Information Sharing Taskforce (MIST) is an interagency effort to capture best practices in information sharing, create a structure for collaborative problem solving, and convey unique local issues to national policy makers. The MIST team is led by the Maritime Defense and Security Research Program (MDSRP) at the Naval Postgraduate School (NPS) in partnership with several federal agencies: the Maritime Administration (MARAD), the Office of Global Maritime Situational Awareness (OGMSA), Global Maritime and Air Intelligence Integration (GMAII), the U.S. Coast Guard (USCG), Customs and Border Protection (CBP), and Naval Cooperation and Guidance for Shipping (NCAGS). The MIST process consists of a series of activities that are designed to help us surface issues important to private sector shipping. Each local event builds upon lessons learned from earlier events and invites participants to join in on the design of specific activities

The Research of Secret Image Sharing Based on RS Erasure Code

AbstractSecret image sharing is an attractive research problem in information security filed. After more than ten years of development, secret image sharing has become a relatively independent area. Most current secret image sharing scheme used Lagrange interpolation of Shamir scheme as the core idea, but which way will greatly reduce the computational efficiency and system availability without a doubt because of a huge amount of data in images. According to the internal relationship between coding theory and secret sharing technology, the paper proposed a secret image scheme based on coding theory. In addition to have advantages which most secret image sharing schemes based on Lagrange interpolation own, the new method which has a more simple idea reduced computational complexity and easy to extend the field of video and audio, so has a more obvious practical value; The design and realization of the new secret image sharing scheme has indirectly proved the internal relationship between coding and secret sharing scheme

Learning to manage and share data: jump-starting the research methods curriculum

Researchers? responsibilities towards their research data are changing across all domains of social scientific endeavour. Government, funders and publishers expect greater transparency of, open access to, and re-use of research data, and fears over data loss call for more robust information security practices. Researchers must develop, enhance and professionalise their research data management skills to meet these challenges and to deal with a rapidly changing data sharing environment. This paper sets out how we have contributed to jump-starting the research methods training curriculum in this field by translating high-level needs into practical guidance and training activities. Our pedagogical approach involves applicable, easy-to-digest, modules based on best practice guidance for managing and sharing research data. In line with recent findings on successful practices in methods teaching, we work on the principle of embedding grounded learning activities within existing narratives of research design and implementation

IMPACT OF BIM ON BUILDING DESIGN QUALITY

During last decades, the aim of new technologies was to develop new information systems to automate manual processes. Large-scale projects in the field of construction industry need a different approach to organize and analyze data creating a database without any duplication or redundancy. Building Information Modeling (BIM) is a teamwork process using advanced technologies to generate data modeling. Based on a literature review, the present research proposes a set of hypotheses that links BIM implementation with the enhancement of information sharing capability (ISC) and collaborative decision capability (CDC) in the construction sector of the building industry. Consequently, it relates the degree of BIM use to the design quality enhancement using ISC and CDC as mediators. Towards this end, the research adopts three sets of criteria namely, functionality, form and aesthetic values, and building construction quality as indicators to design quality improvement. Finally, the research proposes a new conceptual model to set the potential relations between the different variables included in the study. Hence it offers several implications for practitioners and decision makers concerning the importance of BIM to enhance the design quality

Investigating the adoption of local online communities

While Internet researchers have largely investigated worldwide information sharing, less attention has been paid to the effect of the Internet on how place-based communities share locally relevant information. My PhD work aims to provide a deeper understanding of the interplay of communities' characteristics and systems' design decisions that affects the adoption, sustainability and impact of local online information systems. My research combines analysis of neighborhoods' publicly available data, user surveys and interviews, content analysis of archival online data, and field experiments. In my dissertation, I will investigate e-Democracy.org, which is one of the oldest and most sustainable attempts to provide virtual spaces for neighborhoods

Designing Promotion Incentive to Embrace Social Sharing: Evidence from Field and Lab Experiments

Despite the increasing connectivity between customers enabled by digital technologies, there is an absence of research investigating how firms should redesign the promotion incentives to engage customers as both ‘purchaser’ and ‘sharer’ in this social media era. In this study, we conduct a large-scale field experiment and two lab experiments to test the effectiveness of different incentive designs (varied by shareability and quantity of promo codes) in driving social sharing senders’ purchase and referrals. Providing senders with one non-shareable code significantly increases their purchase likelihood. In comparison, the senders who receive one shareable code are less likely to purchase themselves, but are much more likely to make successful referrals. We further conduct two lab experiments, which replicate the field experiment findings and explore the underlying mechanisms. We find that the exclusivity perception and social motive triggered by various incentive designs mediate and explain their effect on sender’s purchase and referrals. Our study extends prior IS literature on social sharing that has focused on sharing information to the domain of sharing incentives, providing implications to firms on how to design promotional incentive that accommodates the dual role of customers as purchasers and sharers and sheds light on the motives underlying social sharing

Unraveling the Relationship between Content Design and Kinesthetic Learning on Communities of Practice Platforms

As a variant of the sharing economy, Communities of Practice (CoP) platforms have allowed kinesthetic learners to acquire skillsets corresponding to their interests for immediate or future use in practice. However, the impact of digital learning content design on kinesthetic learning remains underexplored in the field of information systems. We hence extend prior research by advancing content richness and structure clarity as antecedents affecting kinesthetic learners’ digestibility of contents, culminating in differential kinesthetic learning effects. To substantiate our arguments, we collected data from a leading Chinese recipe sharing platform. Whereas content richness was measured in terms of readability, verb richness, and prototypicality, structure clarity was operationalized as block structure, block quantity, and block regularity. Employing a machine learning model, we simulated and tested learners’ digestibility of image content embodied within recipes. Plans for future research beyond the current study are also discussed