AbstractPart VIII consists of abstracts from the following articles:COLLABORATIVE KNOWLEDGE MANAGEMENT PORTALS FOR LEARNING ORGANIZATIONSA STUDY OF THE ALIGNMENT OF KNOWLEDGE AND BUSINESS STRATEGIES AND THEIR EFFECT ON THE PERFORMANCE OF THE KINGDOM OF BAHRAIN’S BANKING AND FINANCIAL INSTITUTIONSMODELING AIR TRAFFIC LANDING SEQUENCES AND CONTROL: A SIMULATIONTHE STATE OF IMPLEMENTATION OF KNOWLEDGE MANAGEMENT IN SINGAPOREORGANIZATIONAL EFFECTS ON KNOWLEDGE SHARINGLEARNING IN PROJECT-BASED ORGANIZATIONSAPPLYING SOCIAL NETWORK ANALYSIS TO KNOWLEDGE MANAGEMENTTACIT KNOWLEDGE DIFFUSION VIA TECHNOLOGY AND HUMAN NETWORKSHOW DOES KNOWLEDGE MANAGEMENT INFLUENCE THE INNOVATION MANAGEMENT PROCESS?A MEASUREMENT MODEL FOR ASSESSING THE KNOWLEDGE-BASED ECONOMYTRAVERSING THE FUTURE OF KNOWLEDGE MANAGEMENT (KM): AN EMERGING THEME IN HIGHER EDUCATION RESEARCH?PROMOTING PROFESSIONAL COLLABORATION BETWEEN MEDICAL PRACTITIONERS: LEVERAGING AN ONLINE DISCUSSION FORUMMANAGING KNOWLEDGE IN GENERAL PRACTICE SURVEYING FIRMS: A COMPARATIVE STUDY BETWEEN SME AND LARGE FIRMSAN EMPIRICAL EVALUATION OF A CORPORATE E-LEARNING PORTALIMPROVING UNIVERSITY-INDUSTRY KNOWLEDGE PARTNERSHIPS FOR SCIENTIFIC RESEARCH AND DEVELOPMENT PROJECTS: A PILOT STUDYKNOWLEDGE MANAGEMENT SYSTEM: SOME METHODOLOGICAL REMARKSTHE ROLE OF STRATEGIC HUMAN RESOURCE MANAGEMENT IN THE PROCESS OF A COMPANY’S KNOWLEDGE CREATIONBUSINESS INTELLIGENCE FOR KNOWLEDGE MANAGEMENTKNOWLEDGE MANAGEMENT AND COMMUNICATION CHALLENGES: DETERMINING WHAT INFORMATION PATIENTS REALLY WANTUTILIZATION OF INFORMATION AND COMMUNICATION TECHNOLOGY IN AGRICULTURAL KNOWLEDGE MANAGEMENT: THE CASE OF THE PHILIPPINE NARSTHE LEARNING SPACE OF THE SERVICE FIRM AND ELEMENTS IN THE CO-PRODUCTION OF KNOWLEDGE: EVIDENCE FROM AUSTRALIAN SERVICE FIRMSKNOWLEDGE SHARING ENABLERS: A REVIEW OF ORGANIZATIONAL STRATEGIES AND PRACTICESKNOWLEDGE MANAGEMENT: FROM PRODUCTIVY GAINS TO STRATEGIC ADVANTAGEDEVELOPING A KNOWLEDGE MANAGEMENT FRAMEWORK FOR SMALL BUSINESSES: A CASE STUDYAPPLICATION OF ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM FOR MODEL RECONSTRUCTION IN REVERSE ENGINEERINGREVAMPING UNIVERSITIES-KNOWLEDGE MANAGEMENT: A MEANS TO EFFECTIVE PERFORMANCEINTELLIGENT KNOWLEDGE RETRIEVAL THROUGH COLLABORATIVE KNOWLEDGE SHARINGGLOBALIZATION AND KNOWLEDGE MANAGEMENT: IMPLICATIONS FOR HRDCONVERSION OF A HETEROGENEOUS EDUCATION SYSTEM (HEES) INTO A HOMOGENEOUS EDUCATION SYSTEM (HOES) BY USE OF KNOWLEDGE MANAGEMENT AND INFORMATION TECHNOLOGYDEVELOPING A KNOWLEDGE-BASED ECONOMY: AN INVESTIGATION OF CULTURAL INFLUENCESSUPPORTING COMMUNITIES OF PRACTICE: A RIPPLE DOWN RULES APPROACH TO CALL CENTRE MANAGEMENTTHE APPLICATION OF KNOWLEDGE MANAGEMENT IN PUBLIC SECTOR BANKS IN INDIA’S POST LIBERALISATION ERAA KM AND E-LEARNING BASED ARCHITECTURE: AN INNOVATIVE APPROACH FOR SMESMODELING A SIMPLIFIED KNOWLEDGE SYSTEM FOR TECHNOLOGY TRANSFER BETWEEN DONOR AND HOME PARTNERSKNOWLEDGE MANAGEMENT PRACTICES IN THE INDIAN CORPORATE SECTOR: AN EMPIRICAL STUDYKNOWLEDGE SHARING IN THE ASIAN PUBLIC ADMINISTRATION SECTORA MULTI-AGENT SYSTEM FOR SUPPLY CHAIN COORDINATION

UDK 630*54:582.475(497.6) Značajne šumovite nepokrivene površine u Bosni i Hercegovini obrađivale su se sastojine smreke, bijelog i crnog bora. U posljednje vrijeme nije uspostavljen znanstveni pristup gospodarenju, pa su u upotrebi inozemne tablice prinosa (Shober, 1975.; Frauendorfer, 1954.). Upotreba tih tablica nije ispravna zbog različitih karakteristika štanda i mnogih drugih čimbenika. Radi utvrđivanja poreznih osnova za plansko i racionalno gospodarenje ovim sastojinama provedeno je ispitivanje njihovih razvijenih, strukturnih i proizvodnih karakteristika. Prvi zadatak u ovom istraživanju, nakon procjene zemaljskih podataka, je definiranje rasporeda klasa mjesta. Cilj ovog rada je razviti dispoziciju krivulja prosječno visinskih klasa lokaliteta, odnosno relativnih visinskih klasa lokaliteta jednodobnih sastojina crnog bora na karbonatnoj podlozi u Bosni

UDK 630*232:582.475(497.6 Tarčin)          630*232:577.151.64(497.6 Tarčin) U radu je prikazana mogućnost molekularne analize i identifikacije klonskog materijala iz sjemenskog voćnjaka Kozji Grm kod Tarčina. To je ujedno i usporedna procjena s prethodno urađenom morfološkom analizom sjemena. Unutar ove studije bilo je devet enzimskih sustava s ukupno 12 genskih lokusa, 1e. 52 alela registrirana u klonskom sjemenskom voćnjaku, koji su istraženi na molekularnoj razini. Molekularna metoda identifikacije klonova u ovom slučaju dokazala je svoju jednostavnost i pouzdanost, za razliku od morfoloških pokazatelja, te bi kao takva trebala naći svoje mjesto u procesu uspostavljanja klonskog sjemenskog voćnjaka u budućnosti. Primjenom molekularne metode, a također i morfološke identifikacije, u klonskom sjemenskom nasadu bijelog bora na Kozjem Grmu pronašli smo mnogo više genotipova nego što je projektom predviđeno. Ovi rezultati upućuju na određene pogreške koje su učinjene u procesu podizanja sjemenskog voćnjaka koje se ranije nisu mogle uočiti.