Financing Digital Innovation for Sustainable Development

Author(s):  
Danilo Piaggesi ◽  
Helena Landazuri

SDG 17 pursues capacity building through access to data, information and knowledge to support decision-making and oversight. Such guidelines embrace the economic viability and sustainability attributes that innovation must have to be called such, in the field of promoting digital innovation. Those guidelines provide a clear path to streamline efforts in this area by directing support to three crucial areas: (1) developing a market for digital innovation products and services; (2) supporting initiatives to bring about new and more efficient business models and processes; and (3) providing focused support to the generation of innovative products and services. To achieve these ends, it is proposed to establish adequate mechanisms to provide technical and financial support in each one of those areas, utilizing partners and collaboration mechanisms.

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 612
Author(s):  
József Tóth ◽  
Giuseppina Migliore ◽  
Jeremiás Máté Balogh ◽  
Giuseppina Rizzo

Innovation plays a key role in the success and sustainable development of businesses. The innovation process derives from the combination of personal skills and company resources that influence food company managers in their choices on innovation (the decision-making process). This study is an attempt to try to understand which psychological constructs affect innovation decision-making in the Hungarian food sector, using the empirical data from a 2017 survey conducted in Hungary among the largest food processing companies. Planned behavior theory (TPB) was applied to the study of factors affecting innovation decision-making. Structural Equation Modeling (SEM) was used for data analysis. The results show that the positive attitude of Hungarian food business leaders towards innovation, evaluation of innovation and the strategic intention of placing innovative products and processes on the market have a positive relationship with innovation performance; however, the lack of adequate research skills, plus specific knowledge and skills is hindering the development of the hoped for process.


Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 416
Author(s):  
Luciano Barcellos-Paula ◽  
Iván De la Vega ◽  
Anna María Gil-Lafuente

The sustainable development of countries is associated with a set of actions that must be implemented in the long term. In this process, society must be a valid partner in the decisions that are made. Studies show the interrelationship between the Sustainable Development Goals (SDGs), which increases uncertainty and makes decision-making more difficult. On the other hand, the Quintuple Helix of Innovation Model (QHIM) provides an analytical framework to explain the systems’ interactions. The motivation of the study lies in knowing the relationships between the variables that affect SDGs. The manuscript aims to broaden the discussion on sustainable development and propose two models to support decision making. The first one suggests 20 indicators linked to the QHIM with the SDGs in Latin American countries. The second identifies the forgotten effects through the application of a Fuzzy Logic algorithm. The main contribution is to know these effects and to support decision-making. The research carried out can be classified as applied, with the explanatory objective and the combined approach (quantitative-qualitative), modeling and simulation, and case study methods. The QHIM results indicate that Chile leads the ranking, followed by Brazil, Mexico, Peru, and Colombia. Also, it reveals the importance of correctly identifying cause-effects by seeking harmony between systems. A limitation would be the number of variables used. The study indicates promising lines of research.


Author(s):  
Patricia Snell Herzog ◽  
Rahul Yadav ◽  
Davide Bolchini

Citizenry decision-making relies on data for informed actions, and official statistics provide many of the relevant data needed for these decisions. However, the wide, distributed, and diverse datasets available from official statistics remain hard to access, scrutinise and manipulate, especially for non-experts. As a result, the complexities involved in official statistical databases create barriers to broader access to these data, often rendering the data non-actionable or irrelevant for the speed at which decisions are made in social and public life. To address this problem, this paper proposes an approach to automatically generating basic, factual questions from an existing dataset of  official statistics. The question generating process, now specifically instantiated for geospatial data, starts from a raw dataset and gradually builds toward formulating and presenting users with examples of questions that the dataset can answer, and for which geographic units. This approach exemplifies a novel paradigm of question-first data rendering, where questions, rather than data tables, are used as a human-centred and relevant access point to explore, manipulate, navigate and cross-link data to support decision making. This approach can automate time-consuming aspects of data transformation and facilitate broader access to data.


2020 ◽  
Vol 166 ◽  
pp. 11002 ◽  
Author(s):  
Evgeniy Lavrov ◽  
Pavel Paderno ◽  
Evgeniy Burkov ◽  
Aleksandr Volosiuk ◽  
Vu Duc Lung

In this paper, we investigate problems of decision making in management systems for the sustainable development of complex technological and socio-economic facilities. We show both the limitations of traditional expert systems and decision support systems, and the necessity of using expert evaluation technologies to find possible development strategies. Based on that we substantiate the need of creating a new class of systems, i.e. Automated eXpert Assessment Systems, and propose their organizational structure and design principles. We substantiate the level of automation of the work performed during the examinations and describe the composition of models and computer programs we recommend for creating effective automated expert assessment systems and corresponding technology. In the paper, we give examples of using the proposed method for various areas of human activity, in the management of urban infrastructure and e-learning at the universities, and show the effectiveness of the developed approach.


2020 ◽  
Vol 12 (19) ◽  
pp. 8035
Author(s):  
Kristin Hommel ◽  
Peter M. Bican

After the 2007–08 global financial crisis, research flourished on entrepreneurship through digital innovation in the financial market as well as on investors’ influence on digital technology-based entrepreneurs’ funding decisions. This study combines these two research streams to analyze the decision-making criteria for funding financial technology companies (fintechs), hybrid companies that combine digital entrepreneurship, technology, and banking. The study first uses prior literature to derive important characteristics to define fintechs and then uses 12 expert interviews to elaborate on decision-making criteria in funding. Except for smaller peculiarities, fintech funding does not appear to differ from that of other digital entrepreneurship in different markets, and—as with most digital business models—scalability was identified as a key criterion. Additionally, by serving as a major provider of money for young companies, banks have changed their role and positioning in funding new financial technology entrepreneurs. Through developments in digital technology, banks have shifted from traditional money-lending activities (i.e., debt-financing) to becoming stakeholders in fintechs and, hence, equity investors. We also describe how these formerly distinct fields have converged due to regulatory requirements, digital newcomers, and a need for constant innovation, with their future sustainable development dependent on sharing and collaboration.


2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.


Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR


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