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6.4.1 Content Analysis Choon-Bae Yoo, Igor Hawryszkiewycz and Kyeong-Soon Kang Literature is critically analysed to evaluate <strong>the</strong> concept, approaches, process <strong>of</strong> new characteristics <strong>of</strong> complex organization Results will be used to formulate research aims, research questions and to develop and understanding for <strong>the</strong> interview and case study Interviews Responses will be analysed qualitatively whereby a search will be conducted to identify <strong>the</strong> common <strong>the</strong>mes <strong>of</strong> problem and also comparison for similarities and differences The analysis <strong>of</strong> <strong>the</strong> interview data and <strong>the</strong> content analysis from <strong>the</strong> literature will provide deeper insights, understanding and knowledge required for developing multi perspective framework 6.4.2 Case Study Responses from <strong>the</strong> questionnaire that <strong>the</strong> participants complete will be analysed qualitatively Multiple criteria will also be used to measure <strong>the</strong> efficiency <strong>of</strong> <strong>the</strong> framework, strengths, weaknesses <strong>of</strong> <strong>the</strong> self-organization and <strong>the</strong> effectiveness <strong>of</strong> easier to manage system evolution With <strong>the</strong> use <strong>of</strong> multiple sources <strong>of</strong> evidence <strong>the</strong> validity <strong>of</strong> <strong>the</strong> concept will be reinforced within <strong>the</strong> case study, <strong>the</strong>re will be an expansion <strong>of</strong> <strong>the</strong> results through <strong>the</strong> conduct <strong>of</strong> four multiple case studies. 6.5 Pilot case study findings The initial research was able to retrieve innovative designs to improve <strong>the</strong> model due to <strong>the</strong> method mentioned above while concurrently validating <strong>the</strong> framework. In <strong>the</strong> initial findings, a pilot case study enables <strong>the</strong> identification <strong>of</strong> <strong>the</strong> most important factors in success model dimensions and <strong>the</strong>se are: Responsiveness – users will respond to unforeseen circumstances and notify stakeholders Reliability – users will know what to do in <strong>the</strong> unlikely event <strong>of</strong> unforeseen circumstances Adaptability – a multi perspective model will help user facilitate <strong>the</strong> changes Satisfaction – users able to express <strong>the</strong> unforeseen circumstances as; social, activity, knowledge flow and organizational changes A pilot case study shows that a proposed multi perspective model will satisfy success model dimensions to measure and improve <strong>the</strong> knowledge flow in <strong>the</strong> unlikely event <strong>of</strong> unforeseen circumstances. This research was carried out using interviews and set <strong>of</strong> questionnaires involving a director and seven project managers for a period <strong>of</strong> two months. Research project is focusing on social networking and aims to develop a multi perspective design method to model complex organization and structures to provide support for collaborative system design. This method provides a more systematic approach and includes social structure, business architecture, and knowledge hub to identify <strong>the</strong> communities <strong>of</strong> practice and business activity workflow. 7. Discussion The research was conducted using multiple case studies to an understanding <strong>of</strong> a complex issue and identified new characteristics for a dynamic environment. The primary data is being collected and stored for continuous analysis <strong>of</strong> a pr<strong>of</strong>ound influence on multi perspective views in <strong>the</strong> significance <strong>of</strong> diversity and self-organization. By conducting <strong>the</strong> research and testing <strong>the</strong> validity <strong>of</strong> <strong>the</strong> model in close cooperation with participants in <strong>the</strong> government agencies, <strong>the</strong>re is effective management <strong>of</strong> wicked problems faced by organizations. This project places emphasis on bringing <strong>the</strong> newly ga<strong>the</strong>red data to evaluate <strong>the</strong> development <strong>of</strong> a multi perspective model and all areas concerned with <strong>the</strong> study <strong>of</strong> complexity, where organizations have to face emergent changes. The next phase <strong>of</strong> <strong>the</strong> study will analyze <strong>the</strong> results ga<strong>the</strong>red from primary data, both newly collected and archived materials to expand and test <strong>the</strong> success modeling dimensions for validity and reliability. Moreover, research is also needed to investigate <strong>the</strong> behavioral perspective <strong>of</strong> social system dynamic with complex processes which are to be extended to <strong>the</strong> support elements <strong>of</strong> <strong>the</strong> organization and for fur<strong>the</strong>r adoption <strong>of</strong> system evolution. 994
Choon-Bae Yoo, Igor Hawryszkiewycz and Kyeong-Soon Kang Multi perspective model verification with efforts to improve <strong>the</strong> collaborative process requires innovative solutions to complex issues. However, <strong>the</strong>ir effectiveness can be limited without some additional tools to improve collaboration between <strong>the</strong> different dimensions <strong>of</strong> perspectives from <strong>the</strong> <strong>the</strong>oretical to <strong>the</strong> practical. As a consequence, <strong>the</strong> result <strong>of</strong> model verification process is changeable. Future research should <strong>the</strong>refore concentrate on <strong>the</strong> investigation <strong>of</strong> dynamic complexity which can be evaluated to support higher levels <strong>of</strong> adaptability to manage system evolution. 8. Conclusion The present study was designed to determine <strong>the</strong> effect <strong>of</strong> multi perspective framework. In this investigation, <strong>the</strong> aim was to develop a methodology to support systems in complex environments. This study outlines <strong>the</strong> management <strong>of</strong> self-organization and knowledge flow which creates a serious challenge facing <strong>the</strong> public sector. According to Skyrme (2003), all governments are reluctant to be responsive promptly to unforeseen circumstances and higher quality services both <strong>of</strong> which are expected by its citizens. In contrast, knowledge management has played an important role in ensuring organizational performance improvement in <strong>the</strong> private sector. The proposed framework characterizes <strong>the</strong> unstructured knowledge flow for effective management <strong>of</strong> collaborative interactions between <strong>the</strong> stakeholders. The model enables organizations to respond to a rapidly changing environment. Moreover, it helps to manage system evolution and will have a significant impact in <strong>the</strong> public sector. These outcomes will make a substantial contribution to both <strong>the</strong> social behavioral perspective research and <strong>the</strong> modeling <strong>of</strong> multiple perspectives techniques. There are significant findings to prove <strong>the</strong> effectiveness <strong>of</strong> <strong>the</strong> emergent structure for improving organization collaboration. The empirical findings in this study present a new understanding <strong>of</strong> <strong>the</strong> model’s ability to manage system evolution and provide a practical approach for integrating multi perspective views. The results from this study make several contributions to <strong>the</strong> current literature. First, fur<strong>the</strong>r analysis <strong>of</strong> methods in relation to <strong>the</strong> integrating complexity <strong>the</strong>ory (McElroy 2000) and second, addresses new characteristics <strong>of</strong> organization, noted by Merali (2006). This paper examined <strong>the</strong> strategy for improving complex processes which is significant to develop <strong>the</strong> model and states <strong>the</strong> self-organization through <strong>the</strong> internal diversity practice crucial for <strong>the</strong> organization accustom to a changed environment. Behavioral perspective <strong>of</strong> social system is not entirely recognized in <strong>the</strong> existing models that are based on <strong>the</strong> cognitive approach. In contrast, <strong>the</strong> multiple perspectives model attempts to combine <strong>the</strong> self-organization with different dimensions <strong>of</strong> organization’s architecture to manage easily when significant changes occur. For example, an organization tackles <strong>the</strong> complex problems by examining <strong>the</strong> business processes and strategic goals ra<strong>the</strong>r than making an effort to change a behavioral relationship between <strong>the</strong> roles and activities that take place in <strong>the</strong> environment. Fur<strong>the</strong>r experimental investigations are needed to indicate that <strong>the</strong> extent <strong>of</strong> <strong>the</strong> external validity <strong>of</strong> <strong>the</strong> multiple perspectives framework is beneficial to <strong>the</strong> complex organization. Acknowledgements I would like to thank Pr<strong>of</strong>essor Igor Hawryszkiewycz and Dr. Kyeong-Soon Kang from <strong>the</strong> School <strong>of</strong> Information Systems and Management <strong>of</strong> leadership whose suggestions and encouragement helped me in all <strong>the</strong> time <strong>of</strong> research and writing <strong>of</strong> this paper. References Alavi, M. and Carlson, P. (1992) "A review <strong>of</strong> MIS research and disciplinary development," Journal <strong>of</strong> Management Information Systems (8:4), 1992, pp. 45-62. Andriani, P. (2005) “Diversity, Knowledge and Complexity Theory: Some introductory issues”, International Journal <strong>of</strong> Innovation Management, Vol. 5, No. 2 (June 2001) pp. 257–274. Arthur, M. B., DeFillippi, R. J. & Lindsay, V. J. (2001) “Careers, communities, and industry evolution: links to complexity <strong>the</strong>ory”, International Journal <strong>of</strong> Innovation Management, 2(2), forthcoming. Bandara, W., Gable, G. & Rosemann, M. (2006) "Business Processing Modeling Success: An Empirically Tested Measurement Model", ICIS 2006 <strong>Proceedings</strong>. Paper 57. Cohen, M. (1999) “Commentary on <strong>the</strong> organization science special issue on complexity”, Organization Science, Vol. 10 No. 3, pp. 373-6. Colebatch, H. K. (2002) Policy,2nd edition. Open University Press, Buckingham Conklin, J. (2005) “Dialogue Mapping: Building Shared Understanding <strong>of</strong> Wicked Problems”, Wiley, Chapter 1. Dagnino, G. (2004) “Complex systems as key drivers for <strong>the</strong> emergence <strong>of</strong> a resource-and capability-based interorganizational network”, Emergence: Complexity and Organization, Vol. 6 Nos 1-2, pp. 61-9. 995
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Proceedings <stron
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Contents Title Author(s) Picture <s
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Title Author(s) Picture of<
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Volume Two The Influence of
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The Symbolic Innovation of<
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Biographies of <st
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Jan Pawlowski works as Prof
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in academia. He holds the</
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Biomedical Engineering Research Cen
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Mathematics and Ph
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Thi Hai Hang Nguyen is a lecturer a
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Dan Savescu graduate TCM Faculty, p
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Teaches Business Computing and Stat
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Inocencia Mª Martínez-León and I
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5.2 Measures Inocencia Mª Martíne
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Maurizio Massaro and Roland Bardy p
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Maurizio Massaro and Roland Bardy T
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Maurizio Massaro and Roland Bardy T
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Florian Matthes an
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Florian Matthes an
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Florian Matthes an
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Florian Matthes an
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Germany - Towards a Knowledge-Based
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Kai Mertins, Sven Wuscher and Marku
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Sandra Moffett, Ro
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Sandra Moffett, Ro
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Sandra Moffett, Ro
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Sandra Moffett, Ro
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References Sandra Mof</stro
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Syed Moneeb Ali, Mark Woodman and A
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5. Evaluation Syed Moneeb Ali, Mark
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Mohammad Mirkazemi Mood, Farhad Dan
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RI = w k j Mohammad Mirkazemi Mood,
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References Mohammad Mirkazemi Mood,
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Knowledge Mapping Based on EFQM Exc
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Mahmoud Moradi, Mohammad Rahim Rama
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The University Institution’s Impr
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Oliver Moravcik, Dagmar Caganova an
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Figure 9: Researchers at th
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Martina Mullally et al A self-learn
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Martina Mullally et al In t
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Martina Mullally et al contacted, <
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Martina Mullally et al Choo, C. W (
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Fattah Nazem Organizational level
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3. Method of <stro
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Fattah Nazem strengthe</str
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Fattah Nazem Miller, R. (1996). Lea
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Fattah Nazem 1991). Intellectual ca
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Fattah Nazem Table 1: Rotated Compo
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Fattah Nazem Intellectual capital i
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The Knowledge Clinic: Concepts, Met
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Gaby Neumann and Eduardo Tomé capi
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Gaby Neumann and Eduardo Tomé impr
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Gaby Neumann and Eduardo Tomé inst
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A Tenth Anniversary Assessment <str
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Company discussed in Working Knowle
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Gary R Oliver The difficulty with u
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Gary R Oliver accounting precedent
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Gary R Oliver Grant, R. M. (1996).
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Kaspars Osis and Janis Grundspenkis
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Taha Osman, Dhavalkumar Thakker and
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Getting Ready for Knowledge Managem
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Paul Parboteeah, Thomas Jackson and
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Figure 1 Information Management Str
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Knowledge Transfer, Knowledge Shari
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2.2 KBs Dan Paulin and Kaj Suneson
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Dan Paulin and Kaj Suneson Organiz
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Dan Paulin and Kaj Suneson The R&D
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Dan Paulin and Kaj Suneson Paulin,
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Jan Pawlowski and Markus Bick frame
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3.1 Methodology Jan Pawlowski and M
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Jan Pawlowski and Markus Bick aware
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Jan Pawlowski and Markus Bick This
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Jan Pawlowski and Markus Bick Dawes
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Understanding inter-firm networks a
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3.1 Structural properties 3.1.1 Bet
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Meysam Poorkavoos, Yanqing Duan and
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Meysam Poorkavoos, Yanqing Duan and
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Institutional Matrix of</st
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Evgeny Popov, Maxim Vlasov and Anna
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References Evgeny Popov, Maxim Vlas
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Evgeny Popov, Maxim Vlasov and Mari
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Farnaz Rahimi and Mohamad Ebrahim M
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4. Research design Farnaz Rahimi an
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An Intelligent Model to Asses Organ
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Kamaladdin Rahmani Youshanloui et a
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Kamaladdin Rahmani Youshanloui et a
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4. Conclusion Kamaladdin Rahmani Yo
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Risk Analysis for Knowledge Managem
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4. Risk management Lila Rajabion an
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Lila Rajabion and Jafar Zanganeh po
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Lila Rajabion and Jafar Zanganeh th
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References Lila Rajabion and Jafar
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Anna Maria Costanza Rinaldi state t
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Anna Maria Costanza Rinaldi single
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Anna Maria Costanza Rinaldi With ho
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Figure 3 : Group k - Leathe
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Anna Maria Costanza Rinaldi determi
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Country Strategic Risk and Knowledg
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Eduardo Rodriguez, John Edwards and
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Max Erik Rohde and David Sundaram i
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Max Erik Rohde and David Sundaram 6
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A Ranking Method for Identification
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Inès Saad criteria are decomposed
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Inès Saad K3 (Crucial knowledge)
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Josune Sáenz, Nekane Aramburu and
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Social Media Mindset and Knowledge
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Risto Säntti social media mindset
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Risto Säntti 4. The social media m
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social media mindsets. Risto Säntt
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Dan Săvescu, Mihaela-Georgia Sima
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Benedikt Schmidt, Todor Stoitsev an
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2.1 Web analytics evolution Alexand
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Alexander Schneider and Alexander S
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Camilo Augusto Sequeira and Eloi Fe
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9. Conclusions Camilo Augusto Seque
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Elena Shakina and Anna Bykova P. Ra
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Elena Shakina and Anna Bykova Accor
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Elena Shakina and Anna Bykova Figur
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Table 1: The sample descriptive sta
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Elena Shakina and Anna Bykova Table
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Elena Shakina and Anna Bykova It sh
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The Major Challenges of</st
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Mehdi Shami Zanjani, Hamid Rahimian
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Mehdi Shami Zanjani, Hamid Rahimian
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Evangelia Siachou, Sof</str
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Page 426 and 427: 2. Research objective John T Young
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Roman Kislov role boundary blurring
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Roman Kislov The following methods
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Roman Kislov Lave, J. and Wenger, E
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Tony K. M. Lo and Patrick S.W. Fong
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Type P=A=L P=A, L P, A=L P=L, A P,
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6. Case analysis Tony K. M. Lo and
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Tony K. M. Lo and Patrick S.W. Fong
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KM as a Solution for the</s
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Thi Hai Hang Nguyen et al competiti
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Thi Hai Hang Nguyen et al The varia
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Thi Hai Hang Nguyen et al The resul
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Knowledge Base Development
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2. Literature review 2.1 AC: Theore
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2.3 The inter-relations between SC
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Omid Omidvar Jansen, J. J. P., Van
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Sakura Shimada and that of<
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Sakura Shimada broader repercussion
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Sakura Shimada Excousseau, J-L. (20
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Simon Woll The research topic can b
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Simon Woll UI research projects are
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1088
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Chris Blodgett leadership journey t
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Figure 2: Needleman’s Knowledge P
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Chris Blodgett Analysts turn inform
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Figure 8: Cynefin Framework Chris B
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Chris Blodgett IKM Level 1: Inform
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7. Conclusion Chris Blodgett Given
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Stefanie Dannemann However, what wo
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Stefanie Dannemann In modern econom
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2. Research design and methodology
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3.4 KM Applications in IDSC Mohamed
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Mohamed Farid 3.5 Problems with <st
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Mohamed Farid “Enterprise collabo
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Mohamed Farid The design of
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Mohamed Farid For the</stro
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Susan McIntyre and Kate Kaminska re
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Susan McIntyre and Kate Kaminska C
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Susan McIntyre and Kate Kaminska Th
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Susan McIntyre and Kate Kaminska il
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1128
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Óscar Arias Londoño mention that
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5.4 Tacit Knowledge Óscar Arias Lo
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Proposal For A 2.0 Knowledge Manage
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Lillyana María Giraldo Marín et a
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Similarity and Accuracy of<
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Nina Groß et al reporting and cont
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Ravinder Singh Kahlon and Man-Chie
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Figure 3: Non-IT and IT Kiviat Diag
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Appendix B Ravinder Singh Kahlon an
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Pushkal Pandey, Sandra Mof<
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Pushkal Pandey, Sandra Mof<
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José Vásquez Paniagua According t
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José Vásquez Paniagua the
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