0088 MAAYYI IISS CCUUMAA SSAAYYI II: : 555500 Bilgiye Erişim Merkezi ne Yeni Gelen Yayınlar Zaltman, Geral. Pazarlama metaforları./ Gerald Zaltman, Lindsay Zaltman. Çev. Ümit Şensoy. İstanbul : Optimist, 2008-08-20 İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 1
Eser, Zeliha. Hizmetlerde pazarlama iletişimi. Ankara : Siyasal Kitabevi, 2007 ÖZ Bu çalışma hizmet yöneticilerine, çalışanlarına ve hizmetle ilişkisi olan herkese katkı sağlamak amacıyla hazırlanmıştır. İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 2
Gücenme Gençoğlu, Ümit. Genel muhasebe problemleri sözel ve sayısal sorunlar. İstanbul : Türkmen, 2007 İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 3
Resmi Gazete YÜRÜTME VE İDARE BÖLÜMÜ BAKANLIĞA VEKÂLET ETME İŞLEMİ Dışişleri Bakanlığına, İçişleri Bakanı Beşir ATALAY ın Vekâlet Etmesine Dair Tezkere GENELGE KEK Eşbaşkanlıkları ile İlgili 2009/8 Sayılı Başbakanlık Genelgesi TEBLİĞLER Türkiye-Avrupa Birliği Katılım Öncesi Yardım Aracı (IPA) Çerçeve Anlaşması Genel Tebliği (Sıra No: 1) Çiftçi Kayıt Sistemine Dahil Olan Çiftçilere Mazot, Kimyevi Gübre ve Toprak Analizi Destekleme Ödemesi Yapılmasına Dair Tebliğ (No: 2009/41) Gümrük Genel Tebliği (Gümrük İşlemleri) (Seri No: 71) Özelleştirme Yüksek Kurulunun 30/4/2009 Tarihli ve 2009/20 Sayılı Kararı Özelleştirme Yüksek Kurulunun 30/4/2009 Tarihli ve 2009/21 Sayılı Kararı Özelleştirme Yüksek Kurulunun 30/4/2009 Tarihli ve 2009/22 Sayılı Kararı Yabancı Kitap Ve Süreli Yayınlar International Journal of Accounting Information Systems Volume 9, Issue 3, Pages 131-200 (September 2008) Editorial Board Page IFC Measuring the effects of business intelligence systems: The relationship between business process and organizational performance Pages 135-153 Mohamed Z. Elbashir, Philip A. Collier, Michael J. Davern Abstract Business intelligence (BI) systems provide the ability to analyse business information in order to support and improve management decision making across a broad range of business activities. They leverage the large data infrastructure investments (e.g. ERP systems) made by firms, and have the potential to realise the substantial value locked up in a firm's data resources. While substantial business investment in BI systems is continuing to accelerate, there is a complete absence of a specific and rigorous method to measure the realised business value, if any. By exploiting the lessons learned from prior attempts to measure business value of IT-intensive systems, we develop a new measure that is based on an understanding of the characteristics of BI systems in a İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 4
process-oriented framework. We then employ the measure in an examination of the relationship between the business process performance and organizational performance, finding significant differences in the strength of the relationship between industry sectors. This study reinforces the need to consider the specific context of use when designing performance measurement for IT-intensive systems, and highlights the need for further research examining contextual moderators to the realisation of such performance benefits. Article Outline 1. Introduction 2. Theoretical framework 2.1. The business value of BI systems 2.2. A process-oriented approach to the business value of IT 3. Methodology for developing the construct measure 3.1. Specify the domain of the construct 3.2. Generating a sample of items to measure business value of BI systems 3.3. Collect data and purify measure (pilot test) 3.4. Data collection 3.5. Data analysis 3.5.1. Exploratory factor analysis 3.6. Interpretation of the factors 3.7. Assessment of measurement properties 4. The relation between business process and organizational performance 4.1. Context of use testing the effect of industry type 5. Limitations 6. Conclusion and managerial implications Appendix A. Prior studies about the performance impact of IT in the accounting information systems literature Appendix B. The survey instrument of the business value of business intelligence systems References İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 5
Information technology, contextual factors and the volatility of firm performance Pages 154-174 Kevin Kobelsky, Starling Hunter, Vernon J. Richardson Abstract This study uses previous theory developed in the IT implementation literature and the information processing view of the firm to empirically investigate the impact of IT investments and several contextual variables on the volatility of future earnings. We use InformationWeek 500 data on IT spending from 1992 1997 to find evidence that IT investments increase the volatility of future earnings but that this impact is highly contingent upon three firm level contextual factors sales growth, unrelated diversification, and size. These factors can lead to conditions in which IT increases or reduces earnings volatility. Taken together, these results may help explain what has recently been termed the new productivity paradox, i.e., the apparent underinvestment in information technology despite evidence of highly positive returns for doing so, and suggests settings where managers may be under- or over-discounting returns on IT investments. Article Outline 1. Introduction and motivation 2. Literature review and hypotheses development 2.1. 2.1.1. The implementation risk view 2.1.2. The information processing capability view 2.2. The moderating effect of context according to the implementation risk view 2.2.1. H2a competition 2.2.2. H2b sales growth 2.2.3. H2c,d related and unrelated diversification of product markets 2.2.4. H2e firm size 2.3. The moderating effects of context according to the information processing capability view 2.3.1. H3a competition 2.3.2. H3b sales growth İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 6
2.3.3. H3c,d related and unrelated diversification of product markets 2.3.4. H3e firm size 3. Model and methods 4. Data 5. Results 5.1. Direct effects only models 1 3, 5 7 comparison to prior research 5.2. Moderating effects models 4 and 8 tests of hypotheses 5.2.1. H1: IT's net direct effect 5.2.2. H2a/3a competition 5.2.3. H2b/3b sales growth 5.2.4. H2c/H3c, H2d/H3d and H2d/H3d related and unrelated diversification 5.2.5. H2e/H3e firm size 5.3. Results summary 6. Conclusion References Management based critical success factors in the implementation of Enterprise Resource Planning systems Pages 175-200 Joseph Bradley Abstract This study examines critical success factors for implementing Enterprise Resource Planning systems using the framework of classical management theory. The study is motivated by conflicting results in earlier studies examining critical success factors in Enterprise Resource Planning implementation, many of which are anecdotal in nature. Ten critical success factors in ERP systems implementation proposed in past literature are selected. The relationship between each of these factors and project success is examined. Project success is defined as organizational impact and on time and on/under budget project completion. Eight implementation projects were qualitatively analyzed using the case study method to examine the proposed relationships. The findings suggest that choosing the right full time project manager, training of personnel, and the presence of a champion relate to project success. The use of consultants, the role of management in reducing user resistance and the use of a steering committee to control İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 7
the project do not appear to differentiate successful and unsuccessful projects. Integration of ERP planning with business planning, reporting level of the project manager, and active participation of the CEO beyond project approvals, resource allocation and occasional project review, are not found to be critical factors of success. Considering the financial cost and risk associated with these projects, a better understanding of critical success factors will enable practitioners and academics to improve the chance of success in the implementation projects. All organizations implementing ERP, especially small and mid-sized enterprises with limited resources, will benefit from this knowledge. Article Outline 1. Introduction 2. Literature review 2.1. Critical success factors 2.2. Success measurement 2.3. Planning 2.4. Organizing 2.5. Staffing 2.6. Leading 2.7. Controlling 3. Research methods 3.1. Introduction to cases 3.1.1. Case 1 3.1.1.1. The company 3.1.1.2. The project 3.1.1.3. The propositions 3.1.1.4. Results 3.1.2. Case 2 3.1.2.1. The company 3.1.2.2. The project 3.1.2.3. The propositions 3.1.2.4. Results 3.1.3. Case 3 İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 8
3.1.3.1. The company 3.1.3.2. The project 3.1.3.3. The propositions 3.1.3.4. Results 3.1.4. Case 4 3.1.4.1. The company 3.1.4.2. The project 3.1.4.3. The propositions 3.1.4.4. Results 3.1.5. Case 5 3.1.5.1. The company 3.1.5.2. The propositions 3.1.5.3. Results 3.1.6. Case 6 3.1.6.1. The company 3.1.6.2. The project 3.1.6.3. The propositions 3.1.6.4. Results 3.1.7. Case 7 3.1.7.1. The company 3.1.7.2. The project 3.1.7.3. The propositions 3.1.7.4. Results 3.1.8. Case 8 3.1.8.1. The company 3.1.8.2. The project 3.1.8.3. The propositions 3.1.8.4. Results 3.2. Case summary 4. Discussion of results 4.1. Planning 4.2. Organizing 4.3. Staffing 4.4. Leading İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 9
4.5. Controlling 5. Conclusions and recommendations for future research 5.1. Observed success factors 5.1.1. Project manager 5.1.2. Training 5.1.3. Champion 5.2. Factors that did not differentiate between success and failure 5.2.1. Consultants 5.2.2. Role of management in reducing user resistance 5.2.3. Steering committee 5.3. Literature recommendations not supported by cases 5.3.1. Integration of business planning and IT planning 5.3.2. Reporting level of project manager 5.3.3. Participation of the CEO or general manager 5.4. Recommendations for future research Appendix A. Questions for case study interviews Firm's background ERP project Planning Organizing Staffing Leading Controlling References İİ SS MM MM MM OO BB i l gg i yy ee EE rr i şş im i MM ee rr kk ee zz i 10