LEADER 03428nam 22004215 450 001 9910254836503321 005 20200705123853.0 010 $a3-658-19230-5 024 7 $a10.1007/978-3-658-19230-3 035 $a(CKB)3710000001631426 035 $a(DE-He213)978-3-658-19230-3 035 $a(MiAaPQ)EBC4984289 035 $a(PPN)203849590 035 $a(EXLCZ)993710000001631426 100 $a20170823d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Support of Decision Processes with Business Intelligence and Analytics $eInsights on the Roles of Ambidexterity, Information Processing and Advice /$fby Martin Kowalczyk 205 $a1st ed. 2017. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2017. 215 $a1 online resource (XVII, 146 p. 18 illus., 4 illus. in color.) 311 $a3-658-19229-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aLiterature Review on BI&A -- Big Data and Information Processing in Organizational Decision Processes -- Collaboration Procedures and Politics in Decision Support -- Ambidexterity in the Support of Decision Processes -- Analytics Specialization, Information Processing Modes and Decision Quality. 330 $aIn his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual perspectives of BI&A support in decision processes. The organizational perspective considers the processual aspects of decision making and addresses process phases, roles and their interactions. The individual perspective reflects upon decision making of human individuals including their cognition and behaviors involved in decision making. The support of managerial decision making with BI&A gains increasing priority for many businesses in their desire to achieve better decision outcomes and improved organizational performance. Contents Literature Review on BI&A Big Data and Information Processing in Organizational Decision Processes Collaboration Procedures and Politics in Decision Support Ambidexterity in the Support of Decision Processes Analytics Specialization, Information Processing Modes and Decision Quality Target Groups Lecturers and students of informatics, business informatics, information systems, data science, economics and business administration Executives and practitioners working in the fields of business intelligence, analytics and data science The Author Dr. Martin Kowalczyk obtained his doctoral degree at the Chair of Information Systems, Software Business & Information Management at Technische Universität Darmstadt, Germany. 606 $aComputers 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 615 0$aComputers. 615 14$aInformation Systems and Communication Service. 676 $a005.7 700 $aKowalczyk$b Martin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059779 906 $aBOOK 912 $a9910254836503321 996 $aThe Support of Decision Processes with Business Intelligence and Analytics$92508157 997 $aUNINA