Journal of Intelligence Studies in Business最新文献

{"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":" ","pages":""},"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}

{"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":" ","pages":""},"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}

{"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":" ","pages":""},"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}

{"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":" ","pages":""},"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}

{"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":" ","pages":""},"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}

{"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":" ","pages":""},"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}

{"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":" ","pages":""},"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}

{"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":"1 1","pages":""},"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}

{"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":" ","pages":""},"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}

{"title":"Business intelligence for social media interaction in the travel industry in Indonesia","authors":"M. Yulianto, A. S. Girsang, R. Y. Rumagit","doi":"10.37380/JISIB.V8I2.323","DOIUrl":"https://doi.org/10.37380/JISIB.V8I2.323","url":null,"abstract":"Electronic ticket (eticket) provider services are growing fast in Indonesia, makingthe competition between companies increasingly intense. Moreover, most of them have the sameservice or feature for serving their customers. To get back the feedback of their customers, manycompanies use social media (Facebook and Twitter) for marketing activity or communicatingdirectly with their customers. The development of current technology allows the company totake data from social media. Thus, many companies take social media data for analyses. Thisstudy proposed developing a data warehouse to analyze data in social media such as likes,comments, and sentiment. Since the sentiment is not provided directly from social media data,this study uses lexicon based classification to categorize the sentiment of users’ comments. Thisdata warehouse provides business intelligence to see the performance of the company based ontheir social media data. The data warehouse is built using three travel companies in Indonesia.As a result, this data warehouse provides the comparison of the performance based on the socialmedia data.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43972463","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}