Action research as a schoolbased strategy in intercultural profeional development_thinkasahobby赏析

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This paper presents a novel structured approach to evaluate and select the best agile e-CRM framework in a rapidly changing manufacturing environment.The e-CRM frameworks are evaluated with respect to their customer and financial oriented features to achieve manufacturing agility.Initially, the e-CRM frameworks are prioritized according to their financial oriented characteristics using a fuzzy group real options analysis(ROA)model.Next, the e-CRM frameworks are ranked according to their customer oriented characteristics using a hybrid fuzzy group permutation and a four-phase fuzzy quality function deployment(QFD)model with respect to three main perspectives of agile manufacturing(i.e., strategic, operational and functional agilities).Finally, the best agile e-CRM framework is selected using a technique for order preference by similarity to the ideal solution(TOPSIS)model.We also present a case study to demonstrate the applicability of the proposed approach and exhibit the efficacy of the procedures and algorithms.Purchase

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Article Outline 1.Introduction 2.Literature review

3.The mathematical notations and definitions 4.The proposed method

4.1.Phase 1: prioritization of the e-CRM frameworks(financial oriented evaluation)Proce 1.1: establishment of the financial team Proce 1.2: identification of the e-CRM frameworks

Proce 1.3: construction of the individual fuzzy real option matrices Proce 1.4: calculation of the fuzzy weighted collective real option matrix

Proce 1.5: determination of the best order of the e-CRM frameworks(financial oriented evaluation)

4.2.Phase 2: prioritization of the e-CRM frameworks(customer oriented evaluation)Proce 2.1: prioritization of the e-CRM frameworks(strategic perspective of agile manufacturing)Step 2.1.1: establishment of the strategic agility team

Step 2.1.2: identification of the agile manufacturing strategic criteria

Step 2.1.3: building the fuzzy individual houses of quality in the first phase of the QFD model Step 2.1.4: building the fuzzy weighted collective house of quality in the first phase of the QFD model

Step 2.1.5: determination of the best order of the e-CRM frameworks(strategic perspective of agile manufacturing)

Procedure 2.1.5.1: determination of the permutations of the e-CRM frameworks Procedure 2.1.5.2: determination of the permutation matrices

Procedure 2.1.5.3: determination of the best order of e-CRM frameworks

Proce 2.2: prioritization of the e-CRM frameworks(operational perspective of agile manufacturing)

Step 2.2.1: establishment of the operational agility team

Step 2.2.2: identification of the agile manufacturing operational criteria

Step 2.2.3: building the fuzzy individual houses of quality in the second phase of the QFD model

Step 2.2.4: building the fuzzy weighted collective house of quality in the second phase of the QFD model

Step 2.2.5: determination of the best order of the e-CRM frameworks(operational perspective of agile manufacturing)

Procedure 2.2.5.1: determination of the permutations of the e-CRM frameworks Procedure 2.2.5.2: determination of the permutation matrices

Procedure 2.2.5.3: determination of the best order of e-CRM frameworks

Proce 2.3: prioritization of the e-CRM frameworks(functional perspective of agile manufacturing)

Step 2.3.1: establishment of the functional agility team

Step 2.3.2: identification of the agile manufacturing functional criteria

Step 2.3.3: building the fuzzy individual houses of quality in the third phase of the QFD model Step 2.3.4: building the fuzzy weighted collective house of quality in the third Phase of the QFD model

Step 2.3.5: determination of the best order of the e-CRM frameworks(functional perspective of agile manufacturing)

Procedure 2.3.5.1: determination of the permutations of the e-CRM frameworks Procedure 2.3.5.2: determination of the permutation matrices

Procedure 2.3.5.3: determination of the best order of the e-CRM frameworks 4.3.Phase 3: selection of the agile e-CRM framework(financial and agility oriented evaluations)

Proce 3.1: establishment of the leadership team

Proce 3.2: building the aggregated house of quality in the fourth phase of the QFD model Proce 3.3: determination of the best order of the e-CRM frameworks(financial and customer oriented evaluations)

Step 3.3.1: identification of the ideal and nadir agile e-CRM frameworks Step 3.3.2: calculation of the relative closene 5.The case study

5.1.Phase 1: prioritizing the e-CRM frameworks(financial oriented)evaluation 5.2.Phase 2: prioritizing the e-CRM frameworks(customer oriented evaluation)

5.3.Phase 3: selecting the agile e-CRM framework(financial and agility oriented evaluations)6.Conclusions and future research directions Acknowledgements References

Research highlights ► A structured approach is proposed to select the best agile e-CRM framework.► It is grounded in the quality function deployment(QFD)model.► It uses real options analysis(ROA)to ae risks.► It employs fuzzy sets and fuzzy logic to consider imprecise or vague judgments.► It uses TOPSIS to aggregate qualitative and quantitative data.23 Acute hemodynamic effects of adaptive servo ventilation in patients with pulmonary hypertension

International Journal of Cardiology, Volume 148, Iue 1, 1

April 2011, Pages 125-127

Purchase Shusuke Yagi, Masashi Akaike, Takashi Iwase, Kenya

$ 31.50 Kusunose, Toshiyuki Niki, Koji Yamaguchi, Kunihiko Koshiba, Yoshio Taketani, Noriko Tomita, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Masataka Sata Close preview | Related articles | Related reference work articles

Abstract | Figures/Tables | References No abstract is available for this article.Article Outline References What drives financial performance–resource efficiency or resource slack?: Evidence from U.S.Based

Manufacturing Firms from 1991 to 2006 Original Research

Purchase Article

Journal of Operations Management, Volume 29, Iue 3, $ 41.95 March 2011, Pages 254-273

Sachin B.Modi, Saurabh Mishra Close preview | Related articles | Related reference work articles

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Abstract Extant research in operations management has revealed divergent insights into the value potential of resource efficiency.While one view relates efficiency with good operations management and aerts that slack resources are a form of waste that should be minimized, the other view suggests that limited resource slack can impose heavy costs on firms by making them brittle.In this research, the authors build on these views to investigate the relationship of inventory, production, and marketing resource efficiency of firms with three metrics of financial performance(i.e., Stock-Returns, Tobin's Q, and Returns-on-Aets).The authors evaluate the theoretical framework using secondary information on all U.S.based publicly-owned manufacturing firms acro the 16-year time period of 1991–2006.Analysis utilizing a mixed-model approach reveals that a focus on resource efficiency is positively aociated with firm financial performance.However, findings also support the arguments favoring slack, indicating that the financial gains from resource efficiency exhibit diminishing returns.Article Outline 1.Introduction

2.Conceptual framework

2.1.Inventory resource efficiency and financial performance 2.2.Production resource efficiency and financial performance 2.3.Marketing resource efficiency and financial performance 3.Research methodology

3.1.Variable operationalization

3.1.1.Dependent measures: firm financial performance 3.1.2.Independent measures: resource efficiency 3.1.3.Control variables 3.2.Empirical model 4.Analysis and results

4.1.Additional analysis

5.Implications and directions for future research Acknowledgements

Appendix A.Stock-response modeling

Appendix B.Log-linear and quadratic model specifications Appendix C.Appendix

Appendix D.Example calculations and tables for a benchmarking tool References Enterprise architecture patterns for busine proce support analysis Original Research Article Journal of Systems and Software, In Pre, Corrected Proof, Available online 17 March 2011 Ana Šaša, Marjan Krisper

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$ 31.50 Abstract | Figures/Tables | References

Abstract The field of enterprise architectures lacks architecture patterns that would support analysis of a given enterprise architecture, comparison of different enterprise architecture solutions and provide guidelines for development of a target enterprise architecture based on the analysis of existing enterprise architecture.In this paper, we focus on busine proce support analysis using information derived from enterprise architecture description.We give a systematic overview of important aspects.We establish and formally define foundational enterprise architecture patterns for busine proce support analysis.They are implementation independent and enable more efficient qualitative architecture analysis of busine proce support, which is the basis for achieving more optimal busine operation.We have defined the patterns using the standard enterprise architecture language – ArchiMate.They are formalized in a way that enables their implementation in enterprise architecture tools.This is an important characteristic that allows for efficient work by automatic detection of different, more or le suitable, architecture structures.We have derived the patterns based on real-world enterprise architecture descriptions and have used and verified them in enterprise architecture analysis and planning projects for four large organizations.The enterprise architecture analysis patterns addre an important research iue in the field of enterprise architectures that has so far not been systematically researched.Article Outline 1.Introduction 2.Preliminaries

3.Related work and motivation 4.Approach

5.Busine proce support elements of the ArchiMate metamodel 6.Enterprise architecture patterns for busine proce support analysis

6.1.Enterprise architecture busine proce support analysis viewpoints

6.1.1.Busine proce execution support viewpoint 6.1.2.Busine object realization viewpoint

6.2.Busine proce execution support analysis patterns

6.2.1.Fully automated busine proce pattern 6.2.2.Partially automated busine proce pattern 6.2.3.Unautomated busine proce pattern

6.2.4.Fully manually supported busine proce pattern 6.2.5.Partially manually supported busine proce pattern 6.2.6.Manually unsupported busine proce pattern 6.2.7.Strictly unsupported busine proce pattern 6.2.8.Partially supported busine proce pattern 6.2.9.Fully supported busine proce pattern

6.2.10.Heterogeneous application support of a busine proce pattern 6.2.11.Homogenous application support of a busine proce pattern 6.2.12.Full redundant busine proce automation pattern 6.2.13.Full non-redundant busine proce automation pattern 6.2.14.Fully manually supported busine proce with multiple role-aignments pattern

6.2.15.Fully manually supported busine proce with single role-aignment pattern

6.2.16.Fully redundantly supported busine proce pattern 6.2.17.Fully non-redundantly supported busine proce pattern 6.3.Busine object realization analysis patterns 6.3.1.Busine object fully realized by application layer pattern 6.3.2.Busine object partially realized by application layer pattern 6.3.3.Busine object without application layer realization pattern 6.3.4.Full concrete busine object realization pattern 6.3.5.Partial concrete busine object realization pattern 6.3.6.Busine object without concrete realization pattern 6.3.7.Fully realized busine object pattern 6.3.8.(Strictly)unrealized busine object pattern 6.3.9.Partially realized busine object pattern 6.3.10.Multiple busine object realization pattern 6.3.11.Single busine object realization pattern

6.3.12.Multiple application layer busine object realization pattern 6.3.13.Single application layer busine object realization pattern 6.3.14.Multiple concrete busine object realization pattern 6.3.15.Single concrete busine object realization pattern

6.4.Discuion and comparison of busine proce support analysis patterns 7.Proof of concept

8.Implications and further work 9.Conclusion References Vitae Aspects of school–university research networks that play a role in developing, sharing and using knowledge

based on teacher research Original Research Article

Purchase Teaching and Teacher Education, Volume 27, Iue 1,$ 19.95 January 2011, Pages 147-156

Frank Cornelien, Jacqueline van Swet, Douwe Beijaard, Theo Bergen Close preview | Related articles | Related reference work articles

Abstract | Figures/Tables | References Abstract School–university research networks aim at closer integration of research and practice by means of teacher research.Such practice-oriented research can enhance teachers’ profeional knowledge development, and can benefit both schools and university.This paper reports on 21 participants of a school–university research network embedded in a Master’s program.The main question was: which aspects of a school–university research network play a role in procees of developing, sharing and using knowledge based on research by Master’s students? Fifteen network aspects were distinguished, which together provide a useful framework for better understanding and further study of knowledge procees in school–university research networks.Article Outline 1.Introduction

2.Theoretical framework

2.1.Network infrastructures for developing, sharing and using profeional knowledge

2.2.School–university research networks embedded in Master’s programs 2.3.Knowledge development, sharing and use 2.4.Network elements

2.4.1.Members 2.4.2.Relationships 2.4.3.Context of events 2.5.Research questions 3.Method

3.1.Selection of participants

3.1.1.Context of the Master’s program 3.2.Data collection 3.3.Data analysis 4.Results

4.1.Network element one: network members

4.1.1.Nature of knowledge 4.1.2.Activities 4.1.3.Cognitions 4.1.4.Meta-cognitions 4.1.5.Emotions

4.2.Network element two: relationships between network members

4.2.1.Trust 4.2.2.Power 4.2.3.Engagement 4.2.4.Expertise

4.3.Network element three: context of events in the network

4.3.1.Purpose 4.3.2.Collaboration 4.3.3.Inquiry 4.3.4.Leadership 4.3.5.Accountability 4.3.6.Capacity

5.Conclusion and discuion Appendix.Final coding system References

Research highlights ► The integration of three perspectives on a network(i.e.members, relationships, context of events)contributes to better understanding of knowledge procees that take place within school–university research networks;► Fifteen network aspects were distinguished that play a role in procees of developing, sharing and using knowledge based on research by Master’s students.Together they provide a useful framework for better understanding and further study of knowledge procees in school–university research networks;► A coding system was developed to analyze aspects that play a role in knowledge procees within a school–university research network.This coding system can support further exploration of the relationships between the three knowledge procees(developing, sharing, using)and the aspects of the three network elements(members, relationships, context of events).27

A review of data mining applications for quality improvement in manufacturing industry Review Article

Expert Systems with Applications, In Pre, Uncorrected

Purchase Proof, Available online 21 April 2011

$ 39.95 Gülser Köksal, İnci Batmaz, Murat Caner Testik

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Abstract | Figures/Tables | References

Abstract Many quality improvement(QI)programs including six sigma, design for six sigma, and kaizen require collection and analysis of data to solve quality problems.Due to advances in data collection systems and analysis tools, data mining(DM)has widely been applied for QI in manufacturing.Although a few review papers have recently been published to discu DM applications in manufacturing, these only cover a small portion of the applications for specific QI problems(quality tasks).In this study, an extensive review covering the literature from 1997 to 2007 and several analyses on selected quality tasks are provided on DM applications in the manufacturing industry.The quality tasks considered are;product/proce quality description, predicting quality, claification of quality, and parameter optimisation.The review provides a comprehensive analysis of the literature from various points of view: data handling practices, DM applications for each quality task and for each manufacturing industry, patterns in the use of DM methods, application results, and software used in the applications are analysed.Several summary tables and figures are also provided along with the discuion of the analyses and results.Finally, conclusions and future research directions are presented.Article Outline 1.Introduction

2.Quality improvement tasks

3.The knowledge discovery in databases proce and data mining

3.1.Data preparation 3.2.Data preproceing 3.3.Data mining

3.3.1.Descriptive data mining 3.3.2.Predictive data mining 3.4.Evaluation and interpretation 3.5.Implementation

4.Analysis of the applications

4.1.Data handling

4.1.1.Preparation of quality data 4.1.2.Preproceing of quality data

4.2.Analysis of DM applications according to quality tasks

4.2.1.Description of product and proce quality 4.2.2.Predicting quality 4.2.3.Claification of quality 4.2.4.Parameter optimisation

4.3.Reported performance of the DM methods

4.4.Patterns of DM function and method usage in quality tasks 4.5.Software used for mining QI data 5.Conclusions and future research directions 6.Uncited reference Acknowledgements Appendix A.Abbreviations References

Highlights ► Review, data mining applications, manufacturing, 1997–07, selected quality problems.► Typically small, separately stored quality and production data.► Increasing use of DM, especially in metal, computer and electronics industries.► Common use of artificial neural networks for prediction and design optimisation.► General purpose software preferred over specialised DM software.A completed research and development work project in school: The teachers’ learning and poibilities,premises and challenges for further

Purchase development Original Research Article

Teaching and Teacher Education, Volume 27, Iue 3, April $ 19.95 2011, Pages 560-568

May Britt Postholm Close preview | Related articles | Related reference work articles

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Abstract The article is based on a follow-up study of a research and development work project with school leaders and teachers conducted in a Norwegian lower secondary school.The purpose is to present an understanding of what the practitioners find they have learned during the project and how they experience the situation with regard to development about two years after the project has ended.The study concludes that continuity in both leadership and the teaching staff means that the involved practitioners can develop an identity with a common objective over time, and that development can then be seen as improvement.Article Outline 1.Introduction

2.The completed R&D work 3.The methodology used

3.1.Data collection 3.2.Data analyses

4.The teachers’ perspective

4.1.The teachers’ perceptions of their learning

4.1.1.Comments

4.2.The here-and-now situation: teachers’ experiences of development 5.The school leaders’ perspective

5.1.The here-and-now situation: the school leaders’ experiences of development

5.2.Premises and challenges 5.3.Poibilities

6.An understanding framed by the theory of distributed leadership

6.1.Theory of distributed leadership 6.2.Theory and the studied practice 7.Concluding comments References

Research highlights ► Research and development work.► Teachers’ learning.► Distributed leadership.► Continuous learning.► Continuous development.29

A fuzzy AHP–GP approach for integrated production-planning considering manufacturing

partners Original Research Article

Expert Systems with Applications, Volume 38, Iue 5, May Purchase 2011, Pages 5833-5840 Hosang Jung Close preview | Related articles | Related reference work articles

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Abstract | Figures/Tables | References

Abstract Most manufacturing companies cooperate with manufacturing partners in order to have flexible usable capacities to meet variable customer demand.In this environment, evaluations of manufacturing partners and integrated production-planning have become a critical iue.For integrated production-planning for all local manufacturing sites and manufacturing partners, the company should first evaluate the manufacturing partner, and then should decide how to allocate the production quota among internal facilities and manufacturing partners.In this paper, we propose a fuzzy analytic hierarchy proce(AHP)–goal programming(GP)approach to solve this integrated production-planning problem.The fuzzy AHP is utilized to determine relative weights of manufacturing partners, while the GP is used to formulate the integrated production-planning problem.The proposed approach is illustrated by an example adopted from a TFT-LCD manufacturing firm.Article Outline 1.Introduction

2.Proposed approach

2.1.Fuzzy AHP for determination of relative weights of manufacturing partners 2.2.GP for IPPMP 3.Illustrative example 4.Conclusions References

Research highlights ► We solve an integrated production-planning problem where manufacturing partners exist.► To solve the problem, a fuzzy AHP-GP approach is proposed.► The fuzzy AHP is utilized to determine relative weights of manufacturing partners.► The GP is used to formulate the integrated production-planning problem.► Our approach is illustrated by an example adopted from a TFT-LCD manufacturing firm.30 Development of human visual function Review Article Vision Research, In Pre, Corrected Proof, Available online 26 February 2011

Oliver Braddick, Janette Atkinson Show preview | Related articles | Related reference work articles

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Highlights ► Advances in the development and aement of infant vision since 1985 are reviewed.► Visual cortex function emerges to dominate subcortical systems in the early months.► Recent infant research has focued on integrative functions of extra-striate areas.► Clinical applications are increasingly in pediatric neurology.► Future opportunities in new methods and problem areas are reviewed.31 Competitive advantage through service differentiation by manufacturing companies Original Research Article

Journal of Busine Research, In Pre, Corrected Proof,Purchase Available online 26 February 2011

$ 31.50 Heiko Gebauer, Anders Gustafon, Lars Witell

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Elementary school teachers’ motivation toward web-based profeional development, and the relationship with Internet self-efficacy and belief about web-based learning Original Research Article

Teaching and Teacher Education, Volume 27, Iue 2, February 2011, Pages 406-415

Chia-Pin Kao, Ying-Tien Wu, Chin-Chung Tsai Show preview |

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Research highlights ► A questionnaire of aeing motivation toward web-based profeional development for elementary teachers is developed.► Teachers’ Internet self-efficacy and behavioral beliefs about web-based learning are significant predictors of their motivation toward web-based profeional development.► The teachers with higher Internet self-efficacy and stronger beliefs about the positive consequences of web-based learning tend to expre higher motivation toward web-based profeional development.33 Female talent development and African busine schools Original Research Article

Journal of World Busine, Volume 46, Iue 1, January 2011, Pages 42-49

Kevin Ibeh, Yaw A.Debrah Show preview | Related articles | Related reference work articles

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Energy oriented simulation of manufacturing systems – Concept and application Original Research Article CIRP Annals-Manufacturing Technology