IRPN: Innovation Strategy (Topic)最新文献

{"title":"Blockchain-Based Big Data Integrity Service Framework for IoT Devices Data Processing in Smart Cities","authors":"Tanweer Alam","doi":"10.2139/ssrn.3869042","DOIUrl":"https://doi.org/10.2139/ssrn.3869042","url":null,"abstract":"Nowadays, smart cities are using advanced technologies to control and coordinate physical, social, and commercial enterprise systems to deliver high-quality services to their residents while guaranteeing the effective usage of available resources. Numerous major corporations, as well as government bodies, are involved in the construction of smart cities because smart city activities also need information that is obtained from organizations. Blockchain-based technology allows for peer-to-peer exchanges as a public ledger that maintains records of transactions, smart contracts, agreements, and shipments without third-party mediators. In the future, smart cities will be equipped with several innovative technologies, a huge amount of data, a lot of Internet of Things (IoT) devices, and a heterogeneous environment. However, data processing among IoT devices in futuristic smart cities is a challenging task. In this paper, the author proposed a blockchain-based big data integrity service framework for IoT devices data processing in smart cities. The author collected the necessary data from various resources and applied three experiments to evaluate the key performance indicators. K-mean algorithm was used to classify the data, and blockchain strategy was applied to ensure secure communication among IoT devices. The framework was simulated and tested using 100 devices. The proposed framework allowed IoT devices to efficiently use information collected from different resources to engage in operational processes and exchange information.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122801541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining Probability Forecasts: 60% and 60% Is 60%, but Likely and Likely is Very Likely","authors":"Robert Mislavsky, Celia Gaertig","doi":"10.2139/ssrn.3454796","DOIUrl":"https://doi.org/10.2139/ssrn.3454796","url":null,"abstract":"How do we combine others’ probability forecasts? Prior research has shown that when advisors provide numeric probability forecasts, people typically average them (i.e., they move closer to the average advisor’s forecast). However, what if the advisors say that an event is “likely” or “probable?” In eight studies (n = 7,334), we find that people are more likely to act as if they “count” verbal probabilities (i.e., they move closer to certainty than any individual advisor’s forecast) than they are to “count” numeric probabilities. For example, when the advisors both say an event is “likely,” participants will say that it is “very likely.” This effect occurs for both probabilities above and below 50%, for hypothetical scenarios and real events, and when presenting the others’ forecasts simultaneously or sequentially. We also show that this combination strategy carries over to subsequent consumer decisions that rely on advisors’ likelihood judgments. We discuss and rule out several candidate mechanisms for our effect. This paper was accepted by Yuval Rottenstreich, decision analysis.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116068758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data","authors":"E. Žunić, Kemal Korjenić, K. Hodzic, D. Donko","doi":"10.5121/ijcsit.2020.12203","DOIUrl":"https://doi.org/10.5121/ijcsit.2020.12203","url":null,"abstract":"This paper presents a framework capable of accurately forecasting future sales in the retail industry and classifying the product portfolio according to the expected level of forecasting reliability. The proposed framework, that would be of great use for any company operating in the retail industry, is based on Facebook's Prophet algorithm and backtesting strategy. Real-world sales forecasting benchmark data obtained experimentally in a production environment in one of the biggest retail companies in Bosnia and Herzegovina is used to evaluate the framework and demonstrate its capabilities in a real-world use case scenario.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125709884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on Consent of the GDPR in Advertising Technology Focusing on Programmatic Buying","authors":"Sangwook Lee","doi":"10.2139/ssrn.3616651","DOIUrl":"https://doi.org/10.2139/ssrn.3616651","url":null,"abstract":"Online targeted advertising which conveys its advertising message to a target individual based on an accumulated data analysis across multiple external websites about a user's online activity. Basically, the targeted advertising is based on programmatic buying. In the past, advertisers could use a limited advertising space to attract potential customers such as a full-page advertisement at an influential daily or out-of-home(OOH) in the downtown. The advertisers had to win an auction, e.g. a private auction at offline venue, in order to get the space. Nowadays, however, as increasing online media’s influence, e.g. web portal, influencers’ blog, demand for the online advertising inventory is increasing faster than ever. The inventory can be supplied into the advertising market, because it has a feature as intangible resource. Under this circumstance, a method of the traditional action between advertisers and publishers became no longer working in the era of digital media. Hence, programmatic buying was introduced, because it provides that connect between advertisers’ demand and publishers’ supply automatically through an algorithm has already been set up. \u0000 \u0000Moreover, the algorithm can support that advertisers the ability to reach potential customers. Using a personal data helps to select the potential customers. The personal data has been collected on the basis of individuals’ consent. The targeted advertisement is good for potential customers, giving them better access to information about what is being offered, however, it also has privacy risk to users. Therefore consent for marketing purposes become increasingly important in due course. Article 4(11) of the General Data Protection Regulation (GDPR), which was adopted on 14 April 2016, and became enforceable beginning 25 May 2018, states that “any freely given, specific, informed and unambiguous indication of the data subject's wishes by which he or she, by a statement or by a clear affirmative action, signifies agreement to the processing of personal data relating to him or her”. \u0000 \u0000Usually, to use a web portal, the potential customers as user has to consent for the personal data to be used for marketing purposes, at the same time, the web poral as online media, known as publishers in programmatic buying, has a role to supply(or sell) advertising inventories for advertisers. Supply Side Platforms(SSPs) help publishers manage and sell the advertising inventories. Advertising exchanges(Ad exchanges) as mediators, connects between SSPs and Demand Side Platforms(DSPs), which is in charge of managing advertisers’ demand to buy the inventories. Advertisers conduct to bid in real-time to serve advertising impressions to webpage visitors. The highest bidder ‘wins’, and their advertisement will be presented on the webpage to the potential customer via the Real-Time Bidding(RTB) process. The whole process simultaneously takes place in milliseconds based on the authorism in embedded platform. \u0000 \u0000Further","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126589206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Specialization Strategies at National, Regional, or Local Levels? Synergy and Policy-making in German Systems of Innovation","authors":"H. Ruhrmann, M. Fritsch, L. Leydesdorff","doi":"10.2139/ssrn.3577495","DOIUrl":"https://doi.org/10.2139/ssrn.3577495","url":null,"abstract":"Employing a quantitative, data-driven tool - the Triple Helix Indicator - to microdata of firms in Germany, we develop an evidence base for innovation-policy strategies. We aim to answer the question which level of government (local, regional, national) might be most effective for strategic innovation policy-making based on smart specialization in Germany. The empirical results show that the country is decentralized to the extent that it cannot be considered a \"national\" innovation system. More than two-thirds of innovation-system synergy is generated at the lower levels of districts (NUTS3) and Governmental Regions (NUTS2). In high-tech and medium-tech manufacturing, former East and West Germany, as well as North and South Germany, can be considered separate sub-national innovation systems. These findings strengthen the case for region- and context-specific innovation policies. The results illustrate the value of the Triple Helix Indicator for systematic regional mapping and serve as evidence for policy-makers to expand RIS3 policy strategies to the regional and local level in Germany.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122090439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Корпоративные венчурные фонды как инструмент инновационного развития российских корпораций (Корпоративные венчурные фонды как инструмент инновационного развития российских корпораций) (ENTER ENGLISH TITLE HERE)","authors":"N. Kurakova, V. Zinov, L. Tsvetkova, Eremchenko, Olga, Fedor Kurakov","doi":"10.2139/ssrn.3578624","DOIUrl":"https://doi.org/10.2139/ssrn.3578624","url":null,"abstract":"<b>Russian Abstract:</b> В работе систематизированы стратегии создания и развития корпоративных венчурных фондов, проведен анализ деятельности российских венчурных фондов корпораций Softline, Ростелеком, Северсталь и др., а также их взаимодействия с государственными институтами развития для выявления ключевых факторов результативности деятельности этих фондов.<br> <br><b>English Abstract:</b> he paper systematizes the strategies for creating and developing corporate venture capital funds, analyzes the activities of Russian venture capital funds of Softline, Rostelecom, Severstal and others, as well as their interaction with state development institutions to identify key factors for the performance of these funds.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129512681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decision-Making Skills in an AI World: Lessons from Online Chess","authors":"M. Miric, Jinhing Lu, Florenta Teodoridis","doi":"10.2139/ssrn.3538840","DOIUrl":"https://doi.org/10.2139/ssrn.3538840","url":null,"abstract":"The recent surge in AI technologies places a premium on decision-making skills as a complement to the technology. Yet, little is known about how decision-making skills are developed. We theorize and provide empirical evidence of the benefits of experience – intensity, diversity and difficulty – for developing quality decision-making skills, evaluated as such relative to the performance of a mature AI – a technology with performance superior to that of humans – as a benchmark. AI advancements not only increase the importance of decision-making skills as complements, but also provide a new benchmark against which organizations will likely evaluate talent, given the alternative of seeking automation. We test our hypotheses in the context of online chess, a setting where decision-making skills are critical for performance and where a mature benchmark AI exists.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What Is the Role of the Board-Level Technology Committee?","authors":"Steven A. Harrast, Amy M. Swaney","doi":"10.2139/ssrn.3456770","DOIUrl":"https://doi.org/10.2139/ssrn.3456770","url":null,"abstract":"The board-level technology committee (TC) could play a significant role in enterprise risk management. Unfortunately, only about ten percent of public companies have chartered such a committee. Far from being a monolith, companies that charter a TC often use it to control strategic and/or operational risk. The more popular option is strategic risk management. There is evidence that the TC mitigates the negative market reaction to data breaches (Higgs, et al 2016). Based on a review of fifty existing TC charters, TCs today focus mainly on strategic risk — the risk associated with strategic product technology development.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115203504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Learning Patterns in Early Stage R&D Projects: Empirical Evidence from the Fibre Raw Material Technology Project in the Netherlands","authors":"Maryse M. H. Chappin, J. Faber, Marius T. H. Meeus","doi":"10.1111/radm.12358","DOIUrl":"https://doi.org/10.1111/radm.12358","url":null,"abstract":"Past research has reported that learning processes in early stage RD (2) a vacuous pattern of negative outcomes resulting in modifications of action courses; and (3) a verification pattern of positive outcomes resulting in modifications of action courses. We observed the virtuous and verification patterns during the first 2 years and virtuous and vacuous learning in the second 2 years. These results might be useful for R&D managers since they provide insight into how an early stage R&D project can develop and where managers might intervene and adjust action courses.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116544667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managerial Challenges of Outbound Open Innovation: A Study of a Spinout Initiative in Astrazeneca","authors":"Björn Remneland Wikhamn, A. Styhre","doi":"10.1111/radm.12355","DOIUrl":"https://doi.org/10.1111/radm.12355","url":null,"abstract":"While the research on open innovation is flourishing, less attention has so far been given to ‘outbound’ processes in comparison to ‘inbound’ and ‘coupled’ open innovation. In this paper we analyze a qualitative case study of the global bio‐pharmaceutical company AstraZeneca and their attempt to establish a spinout initiative where internal projects are transferred to entrepreneurial startups funded by external venture capital. We explain the enactment work of this initiative and identify three emerged managerial challenges, linked to (1) internal decision‐making, (2) the cultural and psychological barriers of what we phrase as the ‘not‐invented‐elsewhere’ (NIE) syndrome, and (3) the ability to translate and communicate internal projects as attractive external proposals. Theoretical and managerial implications in relation to these challenges are outlined and discussed.","PeriodicalId":150866,"journal":{"name":"IRPN: Innovation Strategy (Topic)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131184996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}