LEADER 04358nam 2200541 450 001 9910829192603321 005 20200520144314.0 010 $a0-231-54282-8 024 7 $a10.7312/sher17482 035 $a(CKB)3710000000982322 035 $a(DE-B1597)481767 035 $a(OCoLC)979904363 035 $a(DE-B1597)9780231542821 035 $a(Au-PeEL)EBL4759781 035 $a(CaPaEBR)ebr11316685 035 $a(CaONFJC)MIL986749 035 $a(OCoLC)966484961 035 $a(PPN)201890070 035 $a(MiAaPQ)EBC4759781 035 $a(EXLCZ)993710000000982322 100 $a20161223h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aIf you're in a dogfight, become a cat! $estrategies for long-term growth /$fLeonard Sherman 210 1$aNew York :$cColumbia Business School Publishing,$d2017. 210 4$dİ2017 215 $a1 online resource (361 pages) $cillustrations 225 0 $aColumbia Business School Publishing 300 $aIncludes index. 311 $a0-231-17482-9 327 $tFrontmatter -- $tContents -- $tPreface -- $tChapter One. The Origins of Modern Business Strategy Thinking -- $tChapter Two. There's No Such Thing as a Bad Industry -- $tChapter Three. Why Are We in Business? -- $tChapter Four. The Search for the Holy Grail of Business: Long-Term Profitable Growth -- $tChapter Five. Do You Know What Your Strategy Is? -- $tChapter Six. Getting Strategy Right -- $tChapter Seven. Creating Strong Brands -- $tChapter Eight. Brand Builders and Killers -- $tChapter Nine. What Makes Products Meaningfully Different? -- $tChapter Ten. Where Do Great Ideas Come From? -- $tChapter Eleven. Strategies to Break Away from the Pack -- $tChapter Twelve. Hitting the Bull's-Eye -- $tNotes -- $tIndex 330 $aBusinesses often find themselves trapped in a competitive dogfight, scratching and clawing for market share with products consumers view as largely undifferentiated. Conventional wisdom suggests that dogfights are to be expected as marketplaces mature, giving rise to the notion that there are "bad" industries where it is unlikely that any company can succeed. But there are notable exceptions in which enlightened executives have changed the rules to grasp the holy grail of business: long-term profitable growth. Rather than joining the dogfights raging within their industry, companies such as Apple, FedEx, and Starbucks have chosen to become metaphorical cats, continuously renewing their distinctive strategies to compete on their own terms.In If You're in a Dogfight, Become a Cat, Leonard Sherman draws on four decades of experience in management consulting, venture capital, and teaching business strategy at Columbia Business School to share practical advice on two of the most vexing issues facing business executives: why is it so hard to achieve long-term profitable growth, and what can companies do to break away from the pack?Sherman takes the reader on a provocative journey through the building blocks of business strategy by challenging conventional wisdom on a number of questions that will redefine management best practices:• What should be the overarching purpose of your business?• Do you really know what your strategy is?• Is there such a thing as a bad industry?• Where do great ideas come from and how do I find them?• What makes products meaningfully different?• What makes and breaks great brands?• How and when should I disrupt my own company?• What are the imperatives to achieving long-term profitable growth?Filled with dozens of illustrative examples of inspiring successes and dispiriting falls from grace, this book provides deep insights on how to become the cat in a dogfight, whether you are a CEO, mid-level manager, aspiring business school student, or curious observer interested in achieving sustained profitable growth. 606 $aStrategic planning 606 $aIndustrial management 615 0$aStrategic planning. 615 0$aIndustrial management. 676 $a658.4/012 700 $aSherman$b Len$f1956-$01614519 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829192603321 996 $aIf you're in a dogfight, become a cat$93944356 997 $aUNINA LEADER 03237nam 2200637 a 450 001 9910437905703321 005 20200520144314.0 010 $a9781299197435 010 $a1299197434 010 $a9781461463603 010 $a1461463602 024 7 $a10.1007/978-1-4614-6360-3 035 $a(CKB)2670000000326706 035 $a(EBL)1106445 035 $a(OCoLC)826853787 035 $a(SSID)ssj0000870774 035 $a(PQKBManifestationID)11957708 035 $a(PQKBTitleCode)TC0000870774 035 $a(PQKBWorkID)10818565 035 $a(PQKB)10130801 035 $a(DE-He213)978-1-4614-6360-3 035 $a(MiAaPQ)EBC1106445 035 $a(PPN)168305097 035 $a(EXLCZ)992670000000326706 100 $a20130130d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRobust emotion recognition using spectral and prosodic features /$fK. Sreenivasa Rao, Shashidhar G. Koolagudi 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (126 p.) 225 0$aSpringerBriefs in electrical and computer engineering.$pSpeech technology,$x2191-737X 300 $aDescription based upon print version of record. 311 08$a9781461463597 311 08$a1461463599 320 $aIncludes bibliographical references. 327 $aIntroduction -- Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features -- Robust Emotion Recognition using Word and Syllable Level Prosodic Features -- Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features -- Robust Emotion Recognition using Speaking Rate Features -- Emotion Recognition on Real Life Emotions -- Summary and Conclusions -- MFCC Features -- Gaussian Mixture Model (GMM). 330 $aIn this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus. 410 0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 606 $aLanguage and emotions 606 $aProsodic analysis (Linguistics) 615 0$aLanguage and emotions. 615 0$aProsodic analysis (Linguistics) 676 $a414.6 700 $aSreenivasa Rao$b K$01614710 701 $aKoolagudi$b Shashidhar G$01752900 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437905703321 996 $aRobust emotion recognition using spectral and prosodic features$94189571 997 $aUNINA