{"title":"University-Industry Partnerships and Open Innovation","authors":"T. Minshall, L. Mortara, T. Ulrichsen","doi":"10.2139/SSRN.2735880","DOIUrl":"https://doi.org/10.2139/SSRN.2735880","url":null,"abstract":"This paper analyses the relationships of one UK-based research-intensive university with a number of leading multinational firms at different points along parallel processes of organisational development. From this, we have identified approaches used and problems encountered at different stages, and drawn lessons that can support corporate and university decision makers in establishing and managing successful partnerships.","PeriodicalId":102391,"journal":{"name":"IRPN: Open Commons (Including GPL","volume":"604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116368056","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":"The Art of Listening on Social Media Platforms: How Firms Follow Users on Social Media Fan Pages","authors":"Hamidreza Shahbaznezhad, Arvind K. Tripathi","doi":"10.2139/ssrn.2697807","DOIUrl":"https://doi.org/10.2139/ssrn.2697807","url":null,"abstract":"Organizations seeking to improve user engagement continue to invest in fan pages on social media platforms anticipating that in a progressive global marketplace users will utilize these technologies, which will enhance organizational competitive advantages. With the steady growth of the number of users who followed firm fan pages it is not clear whom should firms listen to? Since fan page followers participate and contribute to fan pages in various ways, a one size fits all strategy to select users to follow them back may not work. To address these issues, we focus on firm fan pages on Twitter. Using tweets generated by active users on fan pages, this study examines firms’ strategy of following back users on their fan pages. We examine users based on their activities, nature, and sentiments of their contents created and disseminated. We apply topic modeling and sentiment analysis to the tweets of two prominent airline fan pages in pacific region. We discuss the results obtained from a set of almost 21277 tweets of the 4735 active users. Our results show that automated categorization via LDA-based topic modeling and sentiment analysis of the users tweets can help firms select whom to follow back. We find that firms follow back their users based on a mix of users’ activities, topic of content created or disseminated and sentiments of their contents. Results and managerial implications are discussed. The outcomes of this paper help businesses to invest wisely on their social media activities and specifically fan page management.","PeriodicalId":102391,"journal":{"name":"IRPN: Open Commons (Including GPL","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126367283","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":"Open Data: A Twenty-First-Century Asset for Small and Medium-Sized Enterprises","authors":"S. Verhulst, R. Caplan","doi":"10.2139/SSRN.3141515","DOIUrl":"https://doi.org/10.2139/SSRN.3141515","url":null,"abstract":"The purpose of this paper is to better understand how open and shared data impacts the economy. Focusing on small and medium-sized enterprises (SMEs) and start-ups, we consider 354 case studies of companies currently using open data, so that we can better understand how open data can be used and how it can contribute to economic growth, new jobs, greater innovation, and other improvements in our social and economic lives. Grounding our analysis in empirical studies allows us to identify the most important issues confronting any SME considering an open data strategy. It provides lessons and principles that have proven, real-world applicability.","PeriodicalId":102391,"journal":{"name":"IRPN: Open Commons (Including GPL","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121024959","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":"To Patent or Not to Patent: A Pilot Experiment on Incentives to Copyright in a Sequential Innovation Setting","authors":"Paolo Crosetto","doi":"10.2139/ssrn.1944915","DOIUrl":"https://doi.org/10.2139/ssrn.1944915","url":null,"abstract":"This paper presents preliminary results from a pilot experiment dealing with the economic motivations to contribute to Free/Open Source Software (FOSS). In a seminal paper Bessen and Maskin (2006) argue that in a dynamic sequential innovation framework in which every innovation builds on previous inventions the standard argument for granting patent protection is no more valid and the innovator has at certain conditions an incentive to fully disclose the results of his works; in these same conditions, a copyright strategy could result in a tragedy of the anticommons (Heller 1998, Buchanan 2000). We study in the lab the choice of copyrighting or copylefting subsequent innovations in a dynamic setting a la Bessen and Maskin, introducing an innovative experimental design requiring real effort on the part of subjects. The players are asked to actually 'innovate' producing words from given letters, and face the choice to copyright or copyleft their words. Subsequent words can be created by modifying existing words, for free if a word is copylefted, and paying a fixed license fee if the word is copyrighted. Preliminary results show that copyleft is more likely to emerge when royalty fees are relatively high, and when the extendability, modularity and manipulability of inventions is enhanced. Moreover, copyleft innovations are sparsely started but once set in motion attract a higher number of contributors than copyrighted innovations, generating higher quality innovations and showing a more thorough exploration of possible profitable extensions. Finally, high royalty fees tend to generate anticommons effects, namely a lower rate of cooperation resulting in underuse of resources and lower innovative output.","PeriodicalId":102391,"journal":{"name":"IRPN: Open Commons (Including GPL","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133922679","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}
Michael E. Kummer, Marianne Saam, Iassen Halatchliyski, George Giorgidze
{"title":"Centrality and Content Creation in Networks – The Case of German Wikipedia","authors":"Michael E. Kummer, Marianne Saam, Iassen Halatchliyski, George Giorgidze","doi":"10.2139/ssrn.2148913","DOIUrl":"https://doi.org/10.2139/ssrn.2148913","url":null,"abstract":"When contributing content on large online platforms, producers of user-generated content have to decide where to contribute. On a complex and dynamic platform like Wikipedia, this decision is expected to depend on the way the content is organized. We analyse whether the hyperlinks on Wikipedia channel the attention of producers towards more central articles. We observe a sample 7,635 articles belonging to the category 'EconomicsI on German Wikipedia over 153 weeks and measure their centrality both within this category and in the network of over one million German Wikipedia articles. Our analysis reveals that an additional link from the observed category is associated with around 140 bytes of additional content and with an increase in the number of authors by nearly 0.5. Moreover we observe that the rate of content generation increases notably when previously unlinked articles get connected to the main cluster in the category.","PeriodicalId":102391,"journal":{"name":"IRPN: Open Commons (Including GPL","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114741418","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}