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Monday, 18 August 2014

Supplier Assessment and Selection Using Fuzzy Analytic Hierarchy Process in a Steel Manufacturing Company

Journal of Scientific Research and Reports, ISSN: 2320–0227,Vol.: 3, Issue.: 10 (16-31 May)







Original Research Article







Supplier Assessment and Selection Using Fuzzy Analytic Hierarchy Process in a Steel Manufacturing Company








Farzad Tahriri1*, Mohammad Dabbagh2 and Nader Ale Ebrahim3

1Centre for Product Design
and Manufacturing, Department of Engineering Design and Manufacture,
Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur,
Malaysia.

2Department of Software Engineering, Faculty of Computer
Science and Information Technology, University of Malaya, 50603, Kuala
Lumpur, Malaysia.

3Research Support Unit, Centre of Research Services,
Institute of Research Management and Monitoring (IPPP), University of
Malaya, Malaysia.










Abstracts




Every
organization needs suppliers and no organization can exist without
suppliers. Therefore, the organizations approach to suppliers and the
selection of the appropriate supplier, its acquisition processes and
policies, and its relationships with suppliers, is of vital importance,
both to organizations and suppliers alike. No organization can be
successful without the support of its supplier base, operationally and
strategically, short or long-term.To select the best supplier, it is
essential to make an analytical decision based upon tangible and
intangible criteria. Chose and management of a supplier has to be
congruent with organizational strategy. Therefore, the vision and
strategy of the manufacturer are the key drivers for how the supply
function will be managed and how supply decisions are made and
exectuted. The proposed model in this study was applied in a steel
manufacturing company in Malaysia with the goal of reducing time in
choosing the correct supplier for the company. This study aims to
provide a systematic model stimulating correct supplier selection using
the Fuzzy Analytic Hierarchy Process (FAHP) method along with a series
of sensitivity analyses which were conducted using the Expert Choice
(EC) program to evaluate the impact of changes in the priority of
criteria for the suppliers' performance and order quantities.

Aims: The main goal of this research is to develop a
systematic model towards the best supplier selection. To facilitate the
aim of the research, we utilized the Fuzzy Analytic Hierarchy Process,
which was a combination of AHP and Fuzzy Theory in order to deal with
the uncertainties and vagueness of decision makers’ judgement.

Study Design: Mention the design of the study here.

Place and Duration of Study: The data samples were taken in a steel manufacturing company in Malaysia.

Methodology: A Fuzzy Analytic Hierarchy approach is
used using a quantitative and qualitative criteria for selecting and
evaluating a suitable supplier selection and a six step was conducted to
ensure successful implementation.

Results: The results indicate that the model is able to
assist decision makers to examine the strengths and weaknesses of
supplier selection by comparing them with appropriate criteria,
sub-criteria and sub sub-criteria.

Conclusion: We developed a Fuzzy AHP multi-criteria
decision making model for supplier evaluation and selection in the ABC
steel company in Malaysia. The advantage of the proposed model over
other models like the AHP is that, by adoption of fuzzy numbers, it
effectively improves the flexibility of the conventional AHP in dealing
with the uncertainty and ambiguity associated with different decision
makers’ judgments.




Keywords :

Fuzzy Analytic Hierarchy Process (FAHP); supplier selection; Total Value of Purchasing (TVP).








DOI : 10.9734/JSRR/2014/8627







- See more at: http://www.sciencedomain.org/abstract.php?id=22&aid=4238#.U_G1OWM0-Sg






Journal of Scientific Research and Reports, ISSN: 2320–0227,Vol.: 3, Issue.:
10 (16-31 May)







Original Research Article







Supplier Assessment and Selection Using Fuzzy Analytic Hierarchy
Process in a Steel Manufacturing Company












Farzad Tahriri1*, Mohammad Dabbagh2 and Nader
Ale Ebrahim3




1Centre for Product Design and Manufacturing, Department of
Engineering Design and Manufacture, Faculty of Engineering, University of
Malaya, 50603, Kuala Lumpur, Malaysia.

2Department of Software Engineering, Faculty of Computer Science and
Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia.

3Research Support Unit, Centre of Research Services, Institute of
Research Management and Monitoring (IPPP), University of Malaya, Malaysia.








Abstracts




Every organization needs suppliers and no organization can exist without
suppliers. Therefore, the organizations approach to suppliers and the selection
of the appropriate supplier, its acquisition processes and policies, and its
relationships with suppliers, is of vital importance, both to organizations and
suppliers alike. No organization can be successful without the support of its
supplier base, operationally and strategically, short or long-term.To select
the best supplier, it is essential to make an analytical decision based upon
tangible and intangible criteria. Chose and management of a supplier has to be
congruent with organizational strategy. Therefore, the vision and strategy of
the manufacturer are the key drivers for how the supply function will be
managed and how supply decisions are made and exectuted. The proposed model in
this study was applied in a steel manufacturing company in Malaysia with the
goal of reducing time in choosing the correct supplier for the company. This
study aims to provide a systematic model stimulating correct supplier selection
using the Fuzzy Analytic Hierarchy Process (FAHP) method along with a series of
sensitivity analyses which were conducted using the Expert Choice (EC) program
to evaluate the impact of changes in the priority of criteria for the
suppliers' performance and order quantities.

Aims: The main goal of this research is to develop a
systematic model towards the best supplier selection. To facilitate the aim of
the research, we utilized the Fuzzy Analytic Hierarchy Process, which was a
combination of AHP and Fuzzy Theory in order to deal with the uncertainties and
vagueness of decision makers’ judgement.

Study Design: Mention the design of the study here.

Place and Duration of Study: The data samples were taken in a
steel manufacturing company in Malaysia.

Methodology: A Fuzzy Analytic Hierarchy approach is used using
a quantitative and qualitative criteria for selecting and evaluating a suitable
supplier selection and a six step was conducted to ensure successful
implementation.

Results: The results indicate that the model is able to assist
decision makers to examine the strengths and weaknesses of supplier selection
by comparing them with appropriate criteria, sub-criteria and sub sub-criteria.

Conclusion: We developed a Fuzzy AHP multi-criteria decision
making model for supplier evaluation and selection in the ABC steel company in
Malaysia. The advantage of the proposed model over other models like the AHP is
that, by adoption of fuzzy numbers, it effectively improves the flexibility of
the conventional AHP in dealing with the uncertainty and ambiguity associated
with different decision makers’ judgments.







Keywords :



Fuzzy Analytic Hierarchy Process (FAHP); supplier selection; Total Value of
Purchasing (TVP).











DOI : 10.9734/JSRR/2014/8627



- See more at:
http://www.sciencedomain.org/abstract.php?id=22&aid=4238#.U_G1OWM0-Sg



Journal of Scientific Research and Reports, ISSN: 2320–0227,Vol.: 3, Issue.: 10 (16-31 May)







Original Research Article







Supplier Assessment and Selection Using Fuzzy Analytic Hierarchy Process in a Steel Manufacturing Company








Farzad Tahriri1*, Mohammad Dabbagh2 and Nader Ale Ebrahim3

1Centre for Product Design
and Manufacturing, Department of Engineering Design and Manufacture,
Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur,
Malaysia.

2Department of Software Engineering, Faculty of Computer
Science and Information Technology, University of Malaya, 50603, Kuala
Lumpur, Malaysia.

3Research Support Unit, Centre of Research Services,
Institute of Research Management and Monitoring (IPPP), University of
Malaya, Malaysia.










Abstracts




Every
organization needs suppliers and no organization can exist without
suppliers. Therefore, the organizations approach to suppliers and the
selection of the appropriate supplier, its acquisition processes and
policies, and its relationships with suppliers, is of vital importance,
both to organizations and suppliers alike. No organization can be
successful without the support of its supplier base, operationally and
strategically, short or long-term.To select the best supplier, it is
essential to make an analytical decision based upon tangible and
intangible criteria. Chose and management of a supplier has to be
congruent with organizational strategy. Therefore, the vision and
strategy of the manufacturer are the key drivers for how the supply
function will be managed and how supply decisions are made and
exectuted. The proposed model in this study was applied in a steel
manufacturing company in Malaysia with the goal of reducing time in
choosing the correct supplier for the company. This study aims to
provide a systematic model stimulating correct supplier selection using
the Fuzzy Analytic Hierarchy Process (FAHP) method along with a series
of sensitivity analyses which were conducted using the Expert Choice
(EC) program to evaluate the impact of changes in the priority of
criteria for the suppliers' performance and order quantities.

Aims: The main goal of this research is to develop a
systematic model towards the best supplier selection. To facilitate the
aim of the research, we utilized the Fuzzy Analytic Hierarchy Process,
which was a combination of AHP and Fuzzy Theory in order to deal with
the uncertainties and vagueness of decision makers’ judgement.

Study Design: Mention the design of the study here.

Place and Duration of Study: The data samples were taken in a steel manufacturing company in Malaysia.

Methodology: A Fuzzy Analytic Hierarchy approach is
used using a quantitative and qualitative criteria for selecting and
evaluating a suitable supplier selection and a six step was conducted to
ensure successful implementation.

Results: The results indicate that the model is able to
assist decision makers to examine the strengths and weaknesses of
supplier selection by comparing them with appropriate criteria,
sub-criteria and sub sub-criteria.

Conclusion: We developed a Fuzzy AHP multi-criteria
decision making model for supplier evaluation and selection in the ABC
steel company in Malaysia. The advantage of the proposed model over
other models like the AHP is that, by adoption of fuzzy numbers, it
effectively improves the flexibility of the conventional AHP in dealing
with the uncertainty and ambiguity associated with different decision
makers’ judgments.




Keywords :

Fuzzy Analytic Hierarchy Process (FAHP); supplier selection; Total Value of Purchasing (TVP).








DOI : 10.9734/JSRR/2014/8627







- See more at: http://www.sciencedomain.org/abstract.php?id=22&aid=4238#.U_G1OWM0-Sg
Supplier Assessment and Selection Using Fuzzy Analytic Hierarchy Process in a Steel Manufacturing Company

Sunday, 17 August 2014

Effective strategies for increasing citation frequency

Volume 6, Issue 11, 2013, Pages 93-99

Effective strategies for increasing citation frequency  (Article)


Research Support Unit, Centre of Research Services, Institute of
Research Management and Monitoring (IPPP), University of Malaya,
Malaysia




Faculty of Literature and Humanities, Najafabad Branch, Islamic Azad University, Najafabad, Isfahan, Iran




Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia




Department of Financial Sciences, University of Economic Sciences, Tehran, 1593656311, Iran




Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia




Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia




Universiti Teknologi Malaysia, Advance Informatics School (AIS), Kuala Lumpur, Malaysia





Abstract

Due to the effect of citation impact
on The Higher Education (THE) world university ranking system, most of
the researchers are looking for some helpful techniques to increase
their citation record. This paper by reviewing the relevant articles
extracts 33 different ways for increasing the citations possibilities.
The results show that the article visibility has tended to receive more
download and citations. This is probably the first study to collect over
30 different ways to improve the citation record. Further study is
needed to explore and expand these techniques in specific fields of
study in order to make the results more precisely. © by the author(s).

Reaxys Database Information

|

Author keywords

Citation frequency; H-index; Improve citation; Open access; Research impact; University ranking


ISSN: 19139020
Source Type: Journal
Original language: English


DOI: 10.5539/ies.v6n11p93
Document Type: Article


Scopus - Document details

VirtualTeams · GitHub



Download Packages




  1. 25 downloads

    Introduction to Research Tools Box 29-08-2012.pdf
    — Ale Ebrahim, N. (2012). An Introduction to The Effective Use
    of Research Tools Box. Research Tools in Education Series, 1(5), 1-85.

    2.9MB · Uploaded





  2. 28 downloads

    Virtual R&D Teams.pdf
    — Ale Ebrahim, N. (2012). Virtual R&D Teams Definition.
    Nader Ale Ebrahim's White Papers, 1(1), 1-2. Retrieved from
    http://works.bepress.com/aleebrahim/63/

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  3. 35 downloads

    Ebrahim et al-2.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2010). SMEs;
    Virtual research and development (R&D) teams and new product
    development: A literature review [Review]. International Journal of the
    Physical Sciences, 5(7), 916–930.

    301KB · Uploaded





  4. 37 downloads

    Nader-AMM.110-116.258.pdf
    — Wazed, M. A., Ahmed, S., Nukman, Y., & Ale Ebrahim, N.
    (2012). Models for Component Commonality in Multistage Production.
    Applied Mechanics and Materials, 110-116, 258-266.

    1.0MB · Uploaded





  5. 35 downloads

    WORK TOGETHER.pdf
    — Raval, M. R. R., Ale Ebrahim, N., Ahmed, S., & Taha, Z.
    (2010). WORK TOGETHER… WHEN APART CHALLENGES AND WHAT IS NEED FOR
    EFFECTIVE VIRTUAL TEAMS. [Review]. Journal of Information, Knowledge and
    Research in Business Management and Administration, 1(1), 1-

    493KB · Uploaded





  6. 30 downloads

    DETERMINANTS OF FOREIGN DIRECT INVESTMENT-FORUM 9. Jafarnejad.pdf
    — Jafarnejad, A., Golnam, A., & Ale Ebrahim, N. (2009).
    Determinants of Foreign Direct Investment in Iran: An Empirical Study
    Using Structural Equation Modelling. Middle East FORUM, 1(9), 71-85.

    410KB · Uploaded





  7. 39 downloads

    Academic Leadership Journal -.Management Challengespdf1.pdf.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2011). Virtual
    Teams and Management Challenges. Academic Leadership Journal, 9(3), 1-7.

    425KB · Uploaded





  8. 27 downloads

    Academic Leadership Journal-A potential growth1.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2011). Virtual
    R&D Teams: A potential growth of education-industry collaboration.
    Academic Leadership Journal, 9(4), 1-5.

    381KB · Uploaded





  9. 36 downloads

    Virtual R&D teams and SMEs growth AJBM 2010.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2010). Virtual
    R&D teams and SMEs growth: A comparative study between Iranian and
    Malaysian SMEs. [Full Length Research Paper]. African Journal of
    Business Management, 4(11), 2368-2379.

    264KB · Uploaded





  10. 34 downloads

    Critical factors for new product developments-AJBM 2010.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2010). Critical
    Factors for New Product Developments in SMEs Virtual Team. [Full Length
    Research Paper]. African Journal of Business Management, 4(11),
    2247-2257.

    513KB · Uploaded





  11. 0 downloads

    Ebrahim et al-1.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2010). SMEs;
    Virtual research and development (R&D) teams and new product
    development: A literature review [Review]. International Journal of the
    Physical Sciences, 5(7), 916–930.

    301KB · Uploaded





  12. 48 downloads

    Nader- SREX-Ale Ebrahim et al.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2009). Virtual R
    & D teams in small and medium enterprises: A literature review.
    [Review]. Scientific Research and Essay, 4(13), 1575–1590.

    777KB · Uploaded





  13. 30 downloads

    Nader- EJESV1N3_2.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2009). Virtual
    Teams for New Product Development – An Innovative Experience for R&D
    Engineers. European Journal of Educational Studies, 1(3), 109-123.

    353KB · Uploaded





  14. 30 downloads

    Nader- ejsr_34_3_02.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2009). Innovation
    and R&D Activities in Virtual Team. [Literature review]. European
    Journal of Scientific Research, 34(3), 297-307.

    52KB · Uploaded





  15. 29 downloads

    Nader Modified stage-gate in AJMM.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2009). Modified
    Stage-Gate: A Conceptual Model of Virtual Product Development Process.
    [Review]. African Journal of Marketing Management, 1(9), 211-219.

    494KB · Uploaded





  16. 33 downloads

    Nader-AJBAS 3(3)2653-2669-2009.pdf
    — Ale Ebrahim, N., Ahmed, S., & Taha, Z. (2009). Virtual
    Teams: a Literature Review. [Review paper]. Australian Journal of Basic
    and Applied Sciences, 3(3), 2653-2669.

    215KB · Uploaded





  17. 35 downloads

    AMR.433-440.1653.pdf
    — Ale Ebrahim, N., Ahmed, S., Abdul Rashid, S. H., Taha, Z.,
    & Wazed, M. A. (2012). Virtual Collaborative R&D Teams in
    Malaysia Manufacturing SMEs. Advanced Materials Research, 433-440,
    1653-1659.

    231KB · Uploaded





  18. 33 downloads

    ajeassp.2012.9.14.pdf
    — Ale Ebrahim, N., Ahmed, S., Abdul Rashid, S. H., & Taha,
    Z. (2012). Technology Use in the Virtual R&D Teams. American Journal
    of Engineering and Applied Sciences, 5(1), 9-14.

    135KB · Uploaded





  19. 34 downloads

    Ebrahim et al.pdf
    — Ale Ebrahim, N., Ahmed, S., Abdul Rashid, S. H., & Taha,
    Z. (2012). Effective Virtual Teams for New Product Development. [Full
    Length Research Paper]. Scientific Research and Essay, 7(21), 1971-1985.

    558KB · Uploaded





  20. 32 downloads

    10-2-03-Nader IEMS.pdf
    — Ale Ebrahim, N., Abdul Rashid, S. H., Ahmed, S., & Taha,
    Z. (2011). The Effectiveness of Virtual R&D Teams in SMEs:
    Experiences of Malaysian SMEs. Industrial Engineering and Management
    Systems, 10(2), 109-114.

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Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers - E-LIS repository



Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers





Ale Ebrahim, Nader and Salehi, Hadi and Embi, Mohamed Amin and Danaee, Mahmoud and Mohammadjafari, Marjan and Zavvari, Azam and Shakiba, Masoud and Shahbazi-Moghadam, Masoomeh
Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers.
Modern Applied Science, 2014, vol. 8, n. 5, pp. 63-69.









[Journal article (Print/Paginated)]


[img]






Text

Equality of Google Scholar.pdf







Download (205Kb)






English abstract

This study
uses citation analysis from two citation tracking databases, Google
Scholar (GS) and ISI Web of Science, in order to test the correlation
between them and examine the effect of the number of paper versions on
citations. The data were retrieved from the Essential Science Indicators
and Google Scholar for 101 highly cited papers from Malaysia in the
field of engineering. An equation for estimating the citation in ISI
based on Google scholar is offered. The results show a significant and
positive relationship between both citation in Google Scholar and ISI
Web of Science with the number of versions. This relationship is higher
between versions and ISI citations (r = 0.395, p<0.01) than between
versions and Google Scholar citations (r = 0.315, p<0.01). Free
access to data provided by Google Scholar and the correlation to get ISI
citation which is costly, allow more transparency in tenure reviews,
funding agency and other science policy, to count citations and analyze
scholars’ performance more precisely.
Item type:
Journal article (Print/Paginated)



Keywords: Bibliometrics, Citation analysis,
Evaluations, Equivalence, Google Scholar, High cited, ISI Web of
Science, Research tools, H-index
Subjects: C. Users, literacy and reading. > CD. User training, promotion, activities, education.
G. Industry, profession and education. > GH. Education.
Depositing user:

Dr. Nader Ale Ebrahim

Date deposited: 16 Aug 2014 00:14
Last modified: 16 Aug 2014 00:14
URI: http://hdl.handle.net/10760/23646

References

"SEEK" links will first look for possible matches inside E-LIS and query Google Scholar if no results are found.
Aghaei
Chadegani, A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M.,
Farhadi, M., & Ale Ebrahim, N. (2013). A Comparison between Two Main
Academic Literature Collections: Web of Science and Scopus Databases.
Asian Social Science, 9(5), 18-26.
http://dx.doi.org/10.5539/ass.v9n5p18
Aguillo,
I. F. (2011). Is Google Scholar useful for Bibliometrics? A Webometric
Analysis. In E. Noyons, P. Ngulube & J. Leta (Eds.), Proceedings of
Issi 2011: The 13th Conference of the International Society for
Scientometrics and Informetrics, Vols 1 and 2 (pp. 19-25). Leuven: Int
Soc Scientometrics & Informetrics-Issi.
Ale
Ebrahim, N. (2013). Introduction to the Research Tools Mind Map.
Research World, 10(4), 1-3. http://dx.doi.org/10.5281/zenodo.7712
Ale
Ebrahim, N., Ahmed, S., & Taha, Z. (2009). Virtual Teams: a
Literature Review. Australian Journal of Basic and Applied Sciences,
3(3), 2653-2669. http://dx.doi.org/10.6084/m9.figshare.1067906
Ale
Ebrahim, N., Salehi, H., Embi, M. A., Habibi Tanha, F., Gholizadeh, H.,
& Motahar, S. M. (2014). Visibility and Citation Impact.
International Education Studies, 7(4), 120-125.
http://dx.doi.org/10.5539/ies.v7n4p120
Ale
Ebrahim, N., Salehi, H., Embi, M. A., Habibi Tanha, F., Gholizadeh, H.,
Motahar, S. M., & Ordi, A. (2013). Effective Strategies for
Increasing Citation Frequency. International Education Studies, 6(11),
93-99. http://dx.doi.org/10.5539/ies.v6n11p93
Amancio,
D. R., Oliveira Jr, O. N., & da Fontoura Costa, L. (2012).
Three-feature model to reproduce the topology of citation networks and
the effects from authors’ visibility on their h-index. Journal of
Informetrics, 6(3), 427-434. doi:
http://dx.doi.org/10.1016/j.joi.2012.02.005
Antelman,
K. (2004). Do open-access articles have a greater research impact?
College & Research Libraries 65(5), 372-382.
http://dx.doi.org/10.5860/crl.65.5.372
Bakkalbasi,
N., Bauer, K., Glover, J., & Wang, L. (2006). Three options for
citation tracking: Google Scholar, Scopus and Web of Science. Biomedical
Digital Libraries, 3(1), 7. http://dx.doi.org/10.1186/1742-5581-3-7
Bensman,
S. (2011). Anne-Wil Harzing: The publish or perish book: Your guide to
effective and responsible citation analysis. Scientometrics 88(1),
339-342. doi: http://dx.doi.org/10.1007/s11192-011-0388-8
Bornmann,
L., Marx, W., Schier, H., Rahm, E., Thor, A., & Daniel, H. D.
(2009). Convergent validity of bibliometric Google Scholar data in the
field of chemistry-Citation counts for papers that were accepted by
Angewandte Chemie International Edition or rejected but published
elsewhere, using Google Scholar, Science Citation Index, Scopus, and
Chemical Abstracts. Journal of Informetrics, 3(1), 27-35.
http://dx.doi.org/10.1016/j.joi.2008.11.001
Cabezas-Clavijo,
A., & Delgado-Lopez-Cozar, E. (2013). Google Scholar and the
h-index in biomedicine: The popularization of bibliometric assessment.
Medicina Intensiva, 37(5), 343-354.
http://dx.doi.org/10.1016/j.medin.2013.01.008
Craig,
I. D., Plume, A. M., McVeigh, M. E., Pringle, J., & Amin, M.
(2007). Do open access articles have greater citation impact?: A
critical review of the literature. Journal of Informetrics, 1(3),
239-248. http://dx.doi.org/10.1016/j.joi.2007.04.001
Egghe,
L., Guns, R., & Rousseau, R. (2013). Measuring co-authors'
contribution to an article's visibility. Scientometrics 95(1), 55-67.
http://dx.doi.org/10.1007/s11192-012-0832-4
Ertürk,
K., & Şengül, G. (2012). Self Archiving in Atılım University. In S.
Kurbanoğlu, U. Al, P. Erdoğan, Y. Tonta & N. Uçak (Eds.), E-Science
and Information Management (Vol. 317, pp. 79-86): Springer Berlin
Heidelberg. http://dx.doi.org/10.1007/978-3-642-33299-9_11
Fooladi,
M., Salehi, H., Yunus, M. M., Farhadi, M., Aghaei Chadegani, A.,
Farhadi, H., & Ale Ebrahim, N. (2013). Do Criticisms Overcome the
Praises of Journal Impact Factor? Asian Social Science, 9(5), 176-182.
http://dx.doi.org/10.5539/ass.v9n5p176
Garfield,
E. (1972). Citation analysis as a tool in journal evaluation. Science
178, :471-479. http://dx.doi.org/10.1126/science.178.4060.471
Hardy, R., Oppenheim, C., Brody, T., & Hitchcock, S. (2005). Open Access Citation Information.
Hooper, S. L. (2012). Citations: not all measures are equal. Nature 483(7387), 36-36. http://dx.doi.org/10.1038/483036c
Jacso,
P. (2012). Google Scholar Metrics for Publications The software and
content features of a new open access bibliometric service. Online
Information Review 36(4), 604-619.
http://dx.doi.org/10.1108/14684521211254121
Kear,
R., & Colbert-Lewis, D. (2011). Citation searching and bibliometric
measures: Resources for ranking and tracking. College & Research
Libraries News, 72(8), 470-474.
Kousha,
K., & Thelwall, M. (2007). Google Scholar citations and Google
Web-URL citations: A multi-discipline exploratory analysis. Journal of
the American Society for Information Science and Technology, 58(7),
1055-1065. http://dx.doi.org/10.1002/asi.v58:7
Larsen,
P. O., & von Ins, M. (2010). The rate of growth in scientific
publication and the decline in coverage provided by Science Citation
Index. Scientometrics 84(3), 575-603.
http://dx.doi.org/10.1007/s11192-010-0202-z
Lawrence,
S. (2001a). Free online availability substantially increases a paper's
impact. Nature 411(6837), 521-521. http://dx.doi.org/10.1038/35079151
Lawrence, S. (2001b). Online or invisible. Nature 411(6837), 521. http://dx.doi.org/10.1038/35079151
McCabe,
M. J., & Snyder, C. M. (2013). Does Online Availability Increase
Citations? Theory and Evidence from a Panel of Economics and Business
Journals: SSRN working paper.
Orduña-Malea,
E., & Delgado López-Cózar, E. (2014). Google Scholar Metrics
evolution: an analysis according to languages. Scientometrics 98(3),
2353-2367. http://dx.doi.org/10.1007/s11192-013-1164-8
Pauly,
D., & Stergiou, K. I. (2005). Equivalence of results from two
citation analyses: Thomson ISI’s Citation Index and Google’s Scholar
service. Ethics in Science and Environmental Politics, 5, 33-35.
Rotich,
D. C., & Musakali, J. J. (2013). Publish or Perish: Remaining
Academically Relevant and Visible In the Global Academic Scene through
Scholarly Publishing. Paper presented at the Conference and Programme
Chairs, South Africa.
Solomon,
D. J., Laakso, M., & Björk, B.-C. (2013). A longitudinal comparison
of citation rates and growth among open access journals. Journal of
Informetrics, 7(3), 642-650.
http://dx.doi.org/10.1007/s11192-013-1164-8
The
Thomson Corporation. (2013). Essential Science Indicators, Product
Overview. from http://esi.webofknowledge.com/help//h_whatis.htm
Yue,
W. P., & Wilson, C. S. (2004). Measuring the citation impact of
research journals in clinical neurology: A structural equation modelling
analysis. Scientometrics 60(3), 317-332.
http://dx.doi.org/10.1023/B:SCIE.0000034377.93437.18
Zhang,
C.-T. (2009). The e-Index, Complementing the h-Index for Excess
Citations. PLoS ONE, 4(5), e5429.
http://dx.doi.org/10.1371/journal.pone.0005429
Zheng,
J., Zhao, Z. Y., Zhang, X., Chen, D. Z., Huang, M. H., Lei, X. P., . . .
Zhao, Y. H. (2012). International scientific and technological
collaboration of China from 2004 to 2008: a perspective from paper and
patent analysis. Scientometrics 91(1), 65-80.
http://dx.doi.org/10.1007/s11192-011-0529-0


Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers - E-LIS repository

Thursday, 14 August 2014

SSRN Top Downloads For IRPN: Innovation & Organizational Behavior (Topic)

 6-Virtual Teams: A Literature Review













Nader Ale Ebrahim,






Shamsuddin Ahmed and






Zahari Taha












































University of Malaya (UM) - Department of
Engineering Design and Manufacture, Faculty of EngineeringUniversity of
Malaya (UM) - Research Support Unit, Centre of Research Services,
Institute of Research Management and Monitoring (IPPP), University of
Malaya (UM) and University of Malaya (UM)



Date posted to database: 7 Nov 2009


Last Revised: 5 Aug 2014


SSRN Top Downloads

Monday, 11 August 2014

"Virtual teams: A literature review" - Received 100 citations in Google Scholar.

Virtual teams: a literature review

N Ale Ebrahim, S Ahmed, Z Taha - Australian Journal of Basic and …, 2009 - papers.ssrn.com
Abstract: In the competitive market, virtual teams represent a growing response to the need
for fasting time-to-market, low-cost and rapid solutions to complex organizational problems.
Virtual teams enable organizations to pool the talents and expertise of employees and ...
Cited by 100 Related articles All 33 versions Cite Saved

"Virtual teams: A literature review" - Google Scholar

Sunday, 10 August 2014

Recommending social media content to community owners

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

2014, Pages 243-252
37th International ACM SIGIR Conference on Research and Development
in Information Retrieval, SIGIR 2014; Gold Coast, QLD; Australia; 6
July 2014 through 11 July 2014; Code 106461

Recommending social media content to community owners  (Conference Paper)


IBM Research, Haifa, Israel




Yahoo Labs, Haifa, Israel




Department of Computer Science, Technion, Haifa, Israel





Abstract

Online communities within the
enterprise offer their leaders an easy and accessible way to attract,
engage, and influence others. Our research studies the recommendation of
social media content to leaders (owners) of online communities within
the enterprise. We developed a system that suggests to owners new
content from outside the community, which might interest the community
members. As online communities are taking a central role in the
pervasion of social media to the enterprise, sharing such
recommendations can help owners create a more lively and engaging
community. We compared seven different methods for generating
recommendations, including content-based, member-based, and
hybridization of the two. For member-based recommendations, we
experimented with three groups: owners, active members, and regular
members. Our evaluation is based on a survey in which 851 community
owners rated a total of 8,218 recommended content items. We analyzed the
quality of the different recommendation methods and examined the effect
of different community characteristics, such as type and size.
Copyright © 2014 ACM.

Reaxys Database Information

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Author keywords

Enterprise; Group recommendation; Online communities; Recommender systems; Social media


Scopus - Document details