Additive manufacturing (AM) is revolutionizing the health industry, where itprovides innovative solutions for the production of personalized devices, such as hand orthoses.However, the scientific research dynamics in this topic have not yet been investigated. Thisstudy aims to fill this gap through the application of a competitive and technology intelligence(CTI) methodology enhanced by a scientometric and network map analysis. Major advances inthe fabrication of hand orthoses using AM, the presence of collaborations, and the mostinfluential authors were determined. Specifically, network map analysis, bibliographicoccurrence and bibliographic coupling were conducted on documents retrieved from Scopus andthe Web of Science (WoS), and on patents from more than 104 authorities. Results showed onlynine published patent families and 34 research articles on this topic from 2006 to 2016. Tenpapers concern static orthoses, while 24 deal with dynamic orthoses and exoskeletons. Theindegree and outdegree parameters and the betweenness centrality of these documents enabledus to determine the most cited authors and instances of collaboration (papers co-authoredbetween institutions). Dr. Paterson A. M. J. was the most influential author, with fourpublications with the highest betweenness centrality in the network (189), which accounted forthe most cited document with five citations. The institution with the most publications wasLoughborough University, with four papers, and the collaboration between affiliations was rare.These documents review important aspects of manufacturing orthoses using AM, andadditionally pay particular attention to the importance of personalised orthoses where AMcontributes. Notably, these papers focused primarily on studies for the development of amethodology for the fabrication of hand orthoses using AM, but they do not present anyapplication. This research provides insights to better understand the dynamics of research anddevelopment in the orthopaedics domain, specifically for hand orthoses.
增材制造（AM）正在彻底改变健康行业，为生产个性化设备（如矫形器）提供创新解决方案。然而，这一主题的科学研究动态尚未得到调查。本研究旨在通过应用科学计量学和网络地图分析增强的竞争与技术情报（CTI）方法来填补这一空白。确定了使用AM制造手矫形器的主要进展、合作的存在以及最具影响力的作者。具体而言，对从Scopus和Web of Science（WoS）检索到的文件以及来自104多个权威机构的专利进行了网络地图分析、书目流动和书目耦合。结果显示，从2006年到2016年，只有9个已发表的专利家族和34篇关于该主题的研究文章。Tenpapers涉及静态矫形器，而24篇涉及动态矫形器和外骨骼。这些文件的内度和外度参数以及介数中心性使dus能够确定被引用最多的作者和合作实例（两个机构共同撰写的论文）。Paterson A.M.J.博士是最有影响力的作者，有四篇出版物在网络中具有最高的介数中心性（189篇），这是被引用最多的文献，有五篇被引用。发表论文最多的机构是拉夫堡大学，共有四篇论文，各附属机构之间的合作很少。这些文件回顾了使用AM制造矫形器的重要方面，并特别注意了AM所起作用的个性化矫形器。值得注意的是，这些论文主要关注使用AM制造手矫形器的紫外学的发展研究，但没有任何应用。这项研究为更好地了解骨科领域的研究和发展动态提供了见解，特别是手矫形器。
{"title":"Competitive and technology intelligence to reveal the most influential authors and inter-institutional collaborations on additive manufacturing for hand orthoses","authors":"L. García-García, Marisela Rodríguez","doi":"10.37380/JISIB.V8I3.364","DOIUrl":"https://doi.org/10.37380/JISIB.V8I3.364","url":null,"abstract":"Additive manufacturing (AM) is revolutionizing the health industry, where itprovides innovative solutions for the production of personalized devices, such as hand orthoses.However, the scientific research dynamics in this topic have not yet been investigated. Thisstudy aims to fill this gap through the application of a competitive and technology intelligence(CTI) methodology enhanced by a scientometric and network map analysis. Major advances inthe fabrication of hand orthoses using AM, the presence of collaborations, and the mostinfluential authors were determined. Specifically, network map analysis, bibliographicoccurrence and bibliographic coupling were conducted on documents retrieved from Scopus andthe Web of Science (WoS), and on patents from more than 104 authorities. Results showed onlynine published patent families and 34 research articles on this topic from 2006 to 2016. Tenpapers concern static orthoses, while 24 deal with dynamic orthoses and exoskeletons. Theindegree and outdegree parameters and the betweenness centrality of these documents enabledus to determine the most cited authors and instances of collaboration (papers co-authoredbetween institutions). Dr. Paterson A. M. J. was the most influential author, with fourpublications with the highest betweenness centrality in the network (189), which accounted forthe most cited document with five citations. The institution with the most publications wasLoughborough University, with four papers, and the collaboration between affiliations was rare.These documents review important aspects of manufacturing orthoses using AM, andadditionally pay particular attention to the importance of personalised orthoses where AMcontributes. Notably, these papers focused primarily on studies for the development of amethodology for the fabrication of hand orthoses using AM, but they do not present anyapplication. This research provides insights to better understand the dynamics of research anddevelopment in the orthopaedics domain, specifically for hand orthoses.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47601101","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}
In this issue most articles are reflections (bibliometrics, scientometrics) on what has been done in intelligence studies in business (IS) and more particularly in competitive intelligence (CI) and business intelligence (BI), so some reflections and analysis on the subject proper seems to be appropriate for thesenotes. Almost all articles in IS (CI, competitor intelligence, market intelligence (MI), BI, and competitive technical intelligence (CTI)) are empirical contributions that show how to work more effectively with need to know information in business. Authors submit empirical articles that solve new and specific problems.It can be a new method, the introduction of a new model or the application of some new technology.
{"title":"Why you should be interested in intelligence studies","authors":"Klaus Solberg Søilen","doi":"10.37380/JISIB.V8I3.361","DOIUrl":"https://doi.org/10.37380/JISIB.V8I3.361","url":null,"abstract":"In this issue most articles are reflections (bibliometrics, scientometrics) on what has been done in intelligence studies in business (IS) and more particularly in competitive intelligence (CI) and business intelligence (BI), so some reflections and analysis on the subject proper seems to be appropriate for thesenotes. Almost all articles in IS (CI, competitor intelligence, market intelligence (MI), BI, and competitive technical intelligence (CTI)) are empirical contributions that show how to work more effectively with need to know information in business. Authors submit empirical articles that solve new and specific problems.It can be a new method, the introduction of a new model or the application of some new technology.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41723340","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}
In order to increase their competitiveness, companies need information forproblem analysis, to develop strategies and for decisions making. One way to achieve this isthrough methodologies, among which competitive intelligence stands out. For Pellissier &Nenzhelele (2013) competitive intelligence is a process or practice that produces anddisseminates actionable intelligence by planning, ethically and legally collecting, processing andanalyzing information from and about the internal and external or competitive environment inorder to help decision-makers in decision-making and to provide a competitive advantage to theenterprise. Because of its importance this paper presents an investigation using a meta-analysismethodology of 72 papers published between 2000 and 2015 of applications of competitiveintelligence in México. In recent years the practice of competitive intelligence has beenincreasing in México, though its use is not yet widespread. This is why it is important todisseminate and promote the growth of competitive intelligence theory.
{"title":"Exploratory study of competitive intelligence in Mexico","authors":"Eduardo Rafael Poblano Ojinaga","doi":"10.37380/JISIB.V8I3.363","DOIUrl":"https://doi.org/10.37380/JISIB.V8I3.363","url":null,"abstract":"In order to increase their competitiveness, companies need information forproblem analysis, to develop strategies and for decisions making. One way to achieve this isthrough methodologies, among which competitive intelligence stands out. For Pellissier &Nenzhelele (2013) competitive intelligence is a process or practice that produces anddisseminates actionable intelligence by planning, ethically and legally collecting, processing andanalyzing information from and about the internal and external or competitive environment inorder to help decision-makers in decision-making and to provide a competitive advantage to theenterprise. Because of its importance this paper presents an investigation using a meta-analysismethodology of 72 papers published between 2000 and 2015 of applications of competitiveintelligence in México. In recent years the practice of competitive intelligence has beenincreasing in México, though its use is not yet widespread. This is why it is important todisseminate and promote the growth of competitive intelligence theory.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44479151","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}
This paper investigates business intelligence (BI) tasks, use and users in aworkplace setting. The study reports on a mixed methods study of users in three different typesof organisations employing BI. 1052 respondents answered a survey and 15 individual and 3group interviews were conducted to elaborate on the survey results. The study finds that themajority of public BI users are employees, and fewer managers and students, that are handlinga variety of tasks. Although they can experience challenges learning and using the BI system,they are still satisfied with it from different perspectives.
{"title":"Characterizing business intelligence tasks, use and users in the workplace","authors":"Tanja Svarre, Rikke Gaardboe","doi":"10.37380/JISIB.V8I3.365","DOIUrl":"https://doi.org/10.37380/JISIB.V8I3.365","url":null,"abstract":"This paper investigates business intelligence (BI) tasks, use and users in aworkplace setting. The study reports on a mixed methods study of users in three different typesof organisations employing BI. 1052 respondents answered a survey and 15 individual and 3group interviews were conducted to elaborate on the survey results. The study finds that themajority of public BI users are employees, and fewer managers and students, that are handlinga variety of tasks. Although they can experience challenges learning and using the BI system,they are still satisfied with it from different perspectives.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46739818","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}
J. López-robles, J. Otegi-Olaso, Rubén Arcos, Nadia Karina Gamboa Rosales, H. Gamboa-Rosales
Today, organizations are facing technological, economic and social challenges thatrequire the intelligent use of data, information and knowledge. To this end, organizations aredeveloping capabilities around intelligence. From the organizational point of view, intelligencein business is a relatively new field study, so it is convenient to know and understand what themain themes are and their evolution in order to facilitate their integration. Taking this intoaccount, the current research conducts a conceptual and structural analysis of the Journal ofIntelligence Studies in Business (JISIB). JISIB is one of the few academic journals devotedpurely to publishing articles about business intelligence, collective intelligence, competitiveintelligence, economic intelligence, market intelligence, marketing intelligence, scientific andtechnical intelligence, strategic intelligence, and their equivalent terms in other languages. Thisanalysis is carried out by quantifying the main bibliometric performance indicators, identifyingthe main authors and evaluating the development of the main themes within it using SciMATas a bibliometric analysis software. To this purpose, the documents published in JISIB from2011 to 2017 were retrieved from two different sources: the JISIB official web page and the Webof Science. In this way, the bibliometric performance analysis evaluates the impact of thescientific output based on publications and their citations, while science mapping illustrates theintellectual structure of the journal and the evolution of the main research themes. Bearing inmind that JISIB provides an open platform for the publication of original research articles,opinion articles, book reviews and conference proceedings about the intelligence field, thisresearch allows to understand its structure and evolution and all the themes associated with it.It provides a framework to support intelligence researchers and professionals in thedevelopment and direction of future research by identifying emerging, transversal, core anddeclining themes. Finally, this study includes a performance analysis of JISIB.
{"title":"Mapping the structure and evolution of JISIB: A bibliometric analysis of articles published in the Journal of Intelligence Studies in Business between 2011 and 2017","authors":"J. López-robles, J. Otegi-Olaso, Rubén Arcos, Nadia Karina Gamboa Rosales, H. Gamboa-Rosales","doi":"10.37380/JISIB.V8I3.362","DOIUrl":"https://doi.org/10.37380/JISIB.V8I3.362","url":null,"abstract":"Today, organizations are facing technological, economic and social challenges thatrequire the intelligent use of data, information and knowledge. To this end, organizations aredeveloping capabilities around intelligence. From the organizational point of view, intelligencein business is a relatively new field study, so it is convenient to know and understand what themain themes are and their evolution in order to facilitate their integration. Taking this intoaccount, the current research conducts a conceptual and structural analysis of the Journal ofIntelligence Studies in Business (JISIB). JISIB is one of the few academic journals devotedpurely to publishing articles about business intelligence, collective intelligence, competitiveintelligence, economic intelligence, market intelligence, marketing intelligence, scientific andtechnical intelligence, strategic intelligence, and their equivalent terms in other languages. Thisanalysis is carried out by quantifying the main bibliometric performance indicators, identifyingthe main authors and evaluating the development of the main themes within it using SciMATas a bibliometric analysis software. To this purpose, the documents published in JISIB from2011 to 2017 were retrieved from two different sources: the JISIB official web page and the Webof Science. In this way, the bibliometric performance analysis evaluates the impact of thescientific output based on publications and their citations, while science mapping illustrates theintellectual structure of the journal and the evolution of the main research themes. Bearing inmind that JISIB provides an open platform for the publication of original research articles,opinion articles, book reviews and conference proceedings about the intelligence field, thisresearch allows to understand its structure and evolution and all the themes associated with it.It provides a framework to support intelligence researchers and professionals in thedevelopment and direction of future research by identifying emerging, transversal, core anddeclining themes. Finally, this study includes a performance analysis of JISIB.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48294454","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}
Social business intelligence (SBI) is a rather novel discipline, emerged in theacademic and business literature as a result of the convergence of two distinct researchdomains: business intelligence (BI) and social media. Traditional BI scientists and practitioners,after an inevitable initial shock, are currently discovering and acknowledge the potential of usergenerated content (UGD) published in social media as an invaluable and inexhaustible sourceof information capable of supporting a wide range of business activities. The confluence of thesetwo emerging domains is already producing new added value organizational processes andenhanced business capabilities utilized by companies all over the world to effectively harnesssocial media data and analyze them in order to produce added value information such ascustomer profiles and demographics, search habits, and social behaviors. Currently the SBIdomain is largely uncharted, characterized by controversial definitions of terms and concepts,fragmented and isolated research efforts, obstacles created by proprietary data, systems andtechnologies that are not mature yet. This paper aspires to be one of the few -to our knowledge contemporaryefforts to explore the SBI scientific field, clarify definitions and concepts,structure the documented research efforts in the area and finally formulate an agenda of futureresearch based on the identification of current research shortcomings and limitations.
{"title":"Social business intelligence: Review and research directions","authors":"Helena Gioti, S. Ponis, N. Panayiotou","doi":"10.37380/jisib.v8i2.320","DOIUrl":"https://doi.org/10.37380/jisib.v8i2.320","url":null,"abstract":"Social business intelligence (SBI) is a rather novel discipline, emerged in theacademic and business literature as a result of the convergence of two distinct researchdomains: business intelligence (BI) and social media. Traditional BI scientists and practitioners,after an inevitable initial shock, are currently discovering and acknowledge the potential of usergenerated content (UGD) published in social media as an invaluable and inexhaustible sourceof information capable of supporting a wide range of business activities. The confluence of thesetwo emerging domains is already producing new added value organizational processes andenhanced business capabilities utilized by companies all over the world to effectively harnesssocial media data and analyze them in order to produce added value information such ascustomer profiles and demographics, search habits, and social behaviors. Currently the SBIdomain is largely uncharted, characterized by controversial definitions of terms and concepts,fragmented and isolated research efforts, obstacles created by proprietary data, systems andtechnologies that are not mature yet. This paper aspires to be one of the few -to our knowledge contemporaryefforts to explore the SBI scientific field, clarify definitions and concepts,structure the documented research efforts in the area and finally formulate an agenda of futureresearch based on the identification of current research shortcomings and limitations.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49387172","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}
The number of patents being filed around the globe in the field of information andcommunication technologies is increasing each year. Patents are seen as strategic assets forcompanies as they provide a competitive advantage and at the same time ensure freedom tooperate and form a basis for new alliances. However, they can also be viewed as restrictions andmarket barriers for new entrants who need to build their own intellectual property rightsportfolio, which in turn would give them credibility in the market. There is a need, therefore, tolearn from the world leaders who have aligned their business strategies with intellectualproperty strategies and have succeeded. As no publication or public disclosure about intellectualproperty strategy has been made by any of the companies, the only way to understandintellectual property strategy is to look at patent filings, analyze them and, based on the trends,deduce strategy. This paper tries to identify the intellectual property strategies of five US andIndian IT companies by analyzing their patents.
{"title":"An analysis of IP management strategies of ICT companies based on patent filings","authors":"S. Shaikh, T. Singhal","doi":"10.37380/JISIB.V8I2.322","DOIUrl":"https://doi.org/10.37380/JISIB.V8I2.322","url":null,"abstract":"The number of patents being filed around the globe in the field of information andcommunication technologies is increasing each year. Patents are seen as strategic assets forcompanies as they provide a competitive advantage and at the same time ensure freedom tooperate and form a basis for new alliances. However, they can also be viewed as restrictions andmarket barriers for new entrants who need to build their own intellectual property rightsportfolio, which in turn would give them credibility in the market. There is a need, therefore, tolearn from the world leaders who have aligned their business strategies with intellectualproperty strategies and have succeeded. As no publication or public disclosure about intellectualproperty strategy has been made by any of the companies, the only way to understandintellectual property strategy is to look at patent filings, analyze them and, based on the trends,deduce strategy. This paper tries to identify the intellectual property strategies of five US andIndian IT companies by analyzing their patents.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47511981","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}
IT have indeed merged: new empirical data”, Vol 7, No 1 (2017) “Business intelligence, big data and theory” and Vol 6, No 3 (2016) “What role does technology play for intelligence studies at the start of the 21st century?”. Special issues have looked at the problem of IT failures in relation to business intelligence: “How companies succeed and fail to succeed with the implementation of intelligence systems”, Vol 7, No 3 (2017) and “How companies work and fail to work with business intelligence, Vol 7, No 2 (2017). During the past years companies have indeed learned from their failures. Maybe this phase was inevitable as a part of growing up. We see the same development on e-commerce sites: they mostly work well now, but didn’t just a few years ago. A certain difference between countries still exists, but the industry is getting there. Closely related to failures of implementation are user perspectives on business intelligence systems, which have resulted in numerous research articles. A well-cited article by Adamala and Cidrin (2011) led to the development of several models and theories as presented, for example, in Vol 6, No 2 (2016) entitled “User perspectives on business intelligence”. The focus in JISIB is always technology. It is more a question of which aspect of technology we focus on. In this issue, it is social media or social media intelligence. The paper by Gioti and Ponis entitled “Social business intelligence: Review and research directions” is a literature review exploring the new direction of social business intelligence (SBI), where social media meets BI. The last paper is entitled “Business intelligence for social media interaction in the travel industry in Indonesia”. The authors, Yulianto, Girsang and Rumagit propose a way to develop a data warehouse to analyze data from social media, such as likes, comments and sentiment, applied to the travel industry in Indonesia. Another aspect of the journal maintains the tradition of intelligence studies in general. Intelligence studies must always be broad to be relevant and not to miss important pieces. Specialization is a necessity and a curse at the same time. Vol 6, No 1 (2016) in entitled “The width and scope of intelligence studies in business”. A part of this width and critique has involved self-reflection. Thus earlier articles in JISIB often discussed methods. Case studies (by country or industry) were always a favorite. In Vol 4, No 3 (2014) JISIB continued this tradition of publishing case studies. In Vol 3, No 2 (2013), the whole issue is dedicated to one country; Brazil. Analyzing patents analysis has also been a frequent and reoccurring topic. In this issue both of these directions are represented. The third article is entitled “Investigating the competitive intelligence practices of Peruvian fresh grapes exporters,” written by Bisson, Mercedes, and Tong. The authors suggest a number of changes for Peruvian grapes exporters to become more competitive based on a CI approach.
IT确实合并了:新的经验数据”，第7卷，第1期(2017年)，“商业智能，大数据和理论”，第6卷，第3期(2016年)，“21世纪初技术在智能研究中扮演什么角色?”。特别问题研究了与商业智能相关的IT失败问题:“公司如何在智能系统的实施中取得成功和失败”，第7卷，第3期(2017年)和“公司如何与商业智能合作和失败，第7卷，第2期(2017年)”。在过去的几年里，公司确实从失败中吸取了教训。也许这个阶段是成长过程中不可避免的一部分。我们在电子商务网站看到了同样的发展:它们现在大多运行良好，但就在几年前还不是这样。国与国之间仍然存在一定的差异，但该行业正在朝着这个方向发展。与实现失败密切相关的是用户对商业智能系统的看法，这导致了大量的研究文章。Adamala和Cidrin(2011)的一篇被广泛引用的文章导致了几个模型和理论的发展，例如，在第6卷第2期(2016)题为“用户对商业智能的看法”。JISIB的重点始终是技术。这更多的是我们关注技术的哪个方面的问题。在这个问题上，它是社交媒体或社交媒体情报。Gioti和Ponis的论文《Social business intelligence: Review and research directions》是一篇文献综述，探讨了Social business intelligence (SBI)的新方向，即社交媒体与商业智能的结合。最后一篇论文的题目是“印度尼西亚旅游业社交媒体互动的商业智能”。作者Yulianto、Girsang和Rumagit提出了一种开发数据仓库的方法，用于分析来自社交媒体的数据，如喜欢、评论和情绪，并应用于印度尼西亚的旅游业。该杂志的另一个方面总体上保持了智力研究的传统。智力研究必须始终是广泛的，以便相关，而不是错过重要的部分。专业化是必要的，同时也是一种诅咒。《商业智能研究的广度和范围》，2016年第1期。这种广度和批判的一部分涉及到自我反思。因此，jisiboter的早期文章经常讨论方法。案例研究(按国家或行业分类)一直是我的最爱。在第4卷第3期(2014年)中，JISIB延续了这一出版案例研究的传统。在第3卷第2期(2013)，整个问题是专门为一个国家;巴西。专利分析也是一个经常出现的话题。在这个问题上，这两个方向都有代表。第三篇文章题为“调查秘鲁新鲜葡萄出口商的竞争ıntelligence做法”，由Bisson, Mercedes和tong撰写。作者建议秘鲁葡萄出口商在CI方法的基础上进行一些改变，以提高竞争力。Shaikh和Singhal的第四篇论文题为“基于专利申请的信息通信技术公司知识产权管理战略分析”，试图通过分析五家美国和印度IT公司的专利来确定其战略。Nuortimo的第一篇论文题为“用意见挖掘衡量公众接受度:能源行业与长期煤炭研发投资项目的案例”，这是他在奥卢大学人文学院科学传播专业论文的一部分。这篇论文展示了如何有效地使用意见挖掘，是今年在巴德瑙海姆举行的iciconconference上发表的系列论文之一。JISIB的许多早期论文直接来自学术从业者会议。在第2卷第1期(2012年)中，它说:“该期刊与许多会议合作。它在很大程度上依赖于在这些会议上发表的科学论文的贡献，特别是在这些第一个问题上。在这些会议中，我们特别要提到一些学术性较强的会议，如VSST、ECIS、ICTICTI和SIIE。在不久的将来，我们也希望收到投稿。8, No . 2 (2018) p. 4-5开放获取:免费获取:https://ojs.hh.se/from INOSA和ECKM。我们还得到了与情报研究相关的更专业会议成员的支持，如ICI和SCIP”(第4页)。第3卷第3期(2013年):“该杂志继续主要利用在学术会议上发表的与竞争情报相关主题的文章。2013年，SCIP在南非组织了第一次会议，由该杂志的非洲编辑ASA du Toit领导。在第2卷第3期(2012年):“大多数贡献仍然来自与智力研究相关的一些会议的最佳论文。5篇文章中有2篇来自于9月6日至7日在西班牙卡塔赫纳举行的meckm 2012。”在第2卷第2期(2012年)也表达了类似的观点。
{"title":"Social media intelligence","authors":"Klaus Solberg Söilen","doi":"10.37380/jisib.v8i2.324","DOIUrl":"https://doi.org/10.37380/jisib.v8i2.324","url":null,"abstract":"IT have indeed merged: new empirical data”, Vol 7, No 1 (2017) “Business intelligence, big data and theory” and Vol 6, No 3 (2016) “What role does technology play for intelligence studies at the start of the 21st century?”. Special issues have looked at the problem of IT failures in relation to business intelligence: “How companies succeed and fail to succeed with the implementation of intelligence systems”, Vol 7, No 3 (2017) and “How companies work and fail to work with business intelligence, Vol 7, No 2 (2017). During the past years companies have indeed learned from their failures. Maybe this phase was inevitable as a part of growing up. We see the same development on e-commerce sites: they mostly work well now, but didn’t just a few years ago. A certain difference between countries still exists, but the industry is getting there. Closely related to failures of implementation are user perspectives on business intelligence systems, which have resulted in numerous research articles. A well-cited article by Adamala and Cidrin (2011) led to the development of several models and theories as presented, for example, in Vol 6, No 2 (2016) entitled “User perspectives on business intelligence”. The focus in JISIB is always technology. It is more a question of which aspect of technology we focus on. In this issue, it is social media or social media intelligence. The paper by Gioti and Ponis entitled “Social business intelligence: Review and research directions” is a literature review exploring the new direction of social business intelligence (SBI), where social media meets BI. The last paper is entitled “Business intelligence for social media interaction in the travel industry in Indonesia”. The authors, Yulianto, Girsang and Rumagit propose a way to develop a data warehouse to analyze data from social media, such as likes, comments and sentiment, applied to the travel industry in Indonesia. Another aspect of the journal maintains the tradition of intelligence studies in general. Intelligence studies must always be broad to be relevant and not to miss important pieces. Specialization is a necessity and a curse at the same time. Vol 6, No 1 (2016) in entitled “The width and scope of intelligence studies in business”. A part of this width and critique has involved self-reflection. Thus earlier articles in JISIB often discussed methods. Case studies (by country or industry) were always a favorite. In Vol 4, No 3 (2014) JISIB continued this tradition of publishing case studies. In Vol 3, No 2 (2013), the whole issue is dedicated to one country; Brazil. Analyzing patents analysis has also been a frequent and reoccurring topic. In this issue both of these directions are represented. The third article is entitled “Investigating the competitive intelligence practices of Peruvian fresh grapes exporters,” written by Bisson, Mercedes, and Tong. The authors suggest a number of changes for Peruvian grapes exporters to become more competitive based on a CI approach.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69842444","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}
This paper reports an empirical study of Peruvian fresh grapes exporters with theaim of delineating the behavioral and operational typology of their competitive intelligencepractices. Cluster analysis was used as an exploratory tool to determine the correlation, if any,between the size of the company, grapes exports share of total exports, the percentage of theRed Globe variety in total grapes exports and the size of the grape farm with the typology andthe average price received at export between August 2016 and July 2017. The behavioral andoperational typology of competitive intelligence practices model, developed by Wright et al,(2012), was used. The findings reveal that exporters have a positive behavior towardscompetitive intelligence practices, but cannot make good use of them due to a lack of knowledge,and deficiencies in organization and in technological and IT systems support. As 37 companiesparticipated in this experiment, this study could be extended to all non-traditional Peruvianagricultural exports. It has been possible to identify areas where changes are needed to enablethese exporters to perform at a higher level of competence. In addition, it appeared that aslightly higher level of attitude and IT systems support pays off as medium-sized companiesachieved a higher price per ton compared to big companies. This study is the first to present atypology of competitive intelligence practices in Peru and is one of the very first to studycompetitive intelligence in this country and agriculture.
{"title":"Investigating the competitive intelligence practices of Peruvian fresh grapes exporters","authors":"Christophe Bisson, Maria Mercedes Tang Tong","doi":"10.37380/JISIB.V8I2.321","DOIUrl":"https://doi.org/10.37380/JISIB.V8I2.321","url":null,"abstract":"This paper reports an empirical study of Peruvian fresh grapes exporters with theaim of delineating the behavioral and operational typology of their competitive intelligencepractices. Cluster analysis was used as an exploratory tool to determine the correlation, if any,between the size of the company, grapes exports share of total exports, the percentage of theRed Globe variety in total grapes exports and the size of the grape farm with the typology andthe average price received at export between August 2016 and July 2017. The behavioral andoperational typology of competitive intelligence practices model, developed by Wright et al,(2012), was used. The findings reveal that exporters have a positive behavior towardscompetitive intelligence practices, but cannot make good use of them due to a lack of knowledge,and deficiencies in organization and in technological and IT systems support. As 37 companiesparticipated in this experiment, this study could be extended to all non-traditional Peruvianagricultural exports. It has been possible to identify areas where changes are needed to enablethese exporters to perform at a higher level of competence. In addition, it appeared that aslightly higher level of attitude and IT systems support pays off as medium-sized companiesachieved a higher price per ton compared to big companies. This study is the first to present atypology of competitive intelligence practices in Peru and is one of the very first to studycompetitive intelligence in this country and agriculture.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45471371","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}
New Web 2.0-based technologies have emerged in the field of competitor/marketintelligence. This paper discusses the factors influencing long-term product development,namely coal combustion long-term R&D/Carbon Capture and Storage (CCS) technology, andpresents a new method application for studying it via opinion mining. The technology marketdeployment has been challenged by public acceptance. The media images/opinions of coal powerand CCS are studied through the opinion mining approach with a global machine learning basedmedia analysis using M-Adaptive software. This is a big data-based learning machine mediasentiment analysis focusing on both editorial and social media, including both structured datafrom payable sources and unstructured data from social media. If the public acceptance isignored, it can at its worst cause delayed or abandoned market deployment of long-term energyproduction technologies, accompanied by techno-economic issues. The results are threefold:firstly, it is suggested that this type of methodology can be applied to this type of researchproblem. Secondly, from the case study, it is apparent that CCS is unknown also based on thistype of approach. Finally, poor media exposure may have influenced technology marketdeployment in the case of CCS.
{"title":"Measuring public acceptance with opinion mining: The case of the energy industry with long-term coal R&D investment projects","authors":"K. Nuortimo","doi":"10.37380/JISIB.V8I2.319","DOIUrl":"https://doi.org/10.37380/JISIB.V8I2.319","url":null,"abstract":"New Web 2.0-based technologies have emerged in the field of competitor/marketintelligence. This paper discusses the factors influencing long-term product development,namely coal combustion long-term R&D/Carbon Capture and Storage (CCS) technology, andpresents a new method application for studying it via opinion mining. The technology marketdeployment has been challenged by public acceptance. The media images/opinions of coal powerand CCS are studied through the opinion mining approach with a global machine learning basedmedia analysis using M-Adaptive software. This is a big data-based learning machine mediasentiment analysis focusing on both editorial and social media, including both structured datafrom payable sources and unstructured data from social media. If the public acceptance isignored, it can at its worst cause delayed or abandoned market deployment of long-term energyproduction technologies, accompanied by techno-economic issues. The results are threefold:firstly, it is suggested that this type of methodology can be applied to this type of researchproblem. Secondly, from the case study, it is apparent that CCS is unknown also based on thistype of approach. Finally, poor media exposure may have influenced technology marketdeployment in the case of CCS.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45558960","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}
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