Volume 22, Issue 4, July 2019
Submission: 15 July 2019
Publication: July 2019
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Global Impact Factor (2015): 0.843
Index Copernicus Value (2016): 88.20
InfoBase Index Value (2015): 3.51
The work by IJCEM is licensed under a Creative Commons Attribution 3.0 Unported License. Based on a work at www.ijcem.org.
The International Journal of Computational Engineering and Management (IJCEM) is an Open Access, Indexed, Peer Reviewed International Journal with a key objective to provide Academic, Industrial and Scientific Community a medium for presenting original cutting edge research related to Computational Science, Management, Engineering and Technology disciplines and their applications.
IJCEM invites authors to submit their original and unpublished work that communicates current research on Computational Sciences, Engineering, Management disciplines on Theoretical, Methodological and Practical Aspects, as well as their applications from real world problems like Science, Business, Commerce, Engineering and Technology.
Prospective authors should note that only original and previously unpublished manuscripts will be considered. Furthermore, simultaneous submissions are not acceptable.
Submission of a manuscript is interpreted as a statement of certification that no part of the manuscript is copyrighted by any other publication nor is under review by any other formal publication. It is the primary responsibility of the author to obtain proper permission for the use of any copyrighted materials in the manuscript, prior to the submission of the manuscript to International Journal of Computational Engineering and Management (IJCEM).
The International Journal of Computational Engineering and Management (IJCEM), the only English Language Journal in the Computational Science and Management fields published in India, is an international forum for academicians, researchers, engineers and scientists involved in all aspects of Computational Science, Management, Engineering and Technology to publish high quality, refereed papers.
The journal offers survey, experimental and review articles/research papers from experts in the field, promoting insight, state of the art understanding, and trends in Technology and Management. Contents include original research and innovative applications from all parts of the world. The papers for publication in IJCEM are selected through rigorous peer reviews to ensure originality, timeliness, relevance and readability. IJCEM presents mostly previously unpublished materials, selected conference papers with exceptional merit are also published, at the discretion of the editors.
Abstract
This research attempts to predict brand loyalty of contractors / painters in the commercial paints industry based on eight predictors. These predictors are identified as factors contributing to brand loyalty. Analytic Hierarchy Process (AHP) is used to rank the predictors. Factors having their priority vectors greater than 10% are selected for further analysis. This study uses Discriminant Analysis on primary data to examine whether the predictors are capable of classifying the respondents into two distinct groups – those who show signs of brand loyalty vis-a-vis those who do not. Five-point Likert scale was used to collect responses for each parameter. Five out of eight predictors are finally selected for Discriminant Analysis to determine if it is possible to distinguish the two groups significantly. Responses reveal that there exists a significant difference between the two groups based on the predictors. This is an ex-ante decision model that can be used for anticipating brand loyal behaviour of the consumers in future. This work is one of the very first studies performing research on the classification variables of brand loyalty in the paints industry and intends to bridge the gap between theory and practice to aid the practitioners decide on suitable strategies to augment their brand loyalty.
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Abstract
Spam has turned into the stage of decision utilized by digital law breakers to spread malignant payloads, for example, infections and Trojans. In view of this, the issue of early recognition of spam causes has been addressed. Communitarian spam location procedures can manage huge scale email information contributed by diverse sources, they have the prominent topic of requiring exposure of email content. Separation upkeep hashes are one of the normal arrangements applied for saving the security of email content while allowing message grouping for spam recognition. Anyhow, separate safeguarding hashes are not adaptable, along these lines making massive scale synergistic arrangements hard to represent. Spamdoop, a Big Data security safeguarding community oriented spam discovery stage based over a standard Map Reduce office has been projected. Spamdoop employs a very parallel encoding system that empowers the recognition of spam battles in aggressive circumstances. The outline has been judged by the execution, by utilizing a massive manufactured spam base and prove that the system performs positively against the creation and conveyance overhead of current spam age devices.
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An Open Access, Peer Reviewed International Journal.
Refereed by the International Competent Researchers and Scientists.
A full Double-Blind International Refereeing Process is used.
IJCEM is An Indexed International Journal.