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Paint QR in Visual Studio .NET Data distributions for simulated data set with three clusters
Data distributions for simulated data set with three clusters
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Contour plots illustrating the expected overlapping between clusters
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Conclusions We used a heuristic and global search GA for a nontrivial density estimation problem The objective function for the density estimation problem was derived from the ME and ML approaches Using a simulated data set generated with two attributes and three different normal distributions, we tested our GA approach Our results indicate that ME is a better objective function for the density estimation problem Our case demonstrates how smart data is a product of current technologies, and superiority is gained from progress in applying emerging technologies, such as ME Smart data strategy is implemented with the introduction of the executive enterprise performance optimization system (EPOS) and associated management interface utilizing algorithms and methods such as ME that outperform the more conservative ML approach The Bad Example: The Case of the Wrong Method It is common, in academia, to write reviews and critiques of published works in order to improve quality in the editorial process [9] It is also common for the author to have the opportunity to respond to these critiques [10] In this case, we examine a published article on the adoption of administrative (TQM) innovation in IS departments, and we demonstrate that the dependent variables used in the study have problems
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related to content validity, that the techniques used for the data analysis are inappropriate, that one set of hypotheses are wrongly tested, that the unit of analysis is sometimes dangling, and that the binary transformation of one dependent variable results in loss of information and changes the underlying distribution of the dependent variable We believe that the study has internal validity problems and therefore we also believe that the results of the study may be awed We contend that the author didn t understand the method and that the journal executives weren t on board with the proper reviewing techniques to correct this problem We also contend, in our case, that there was a lack of awareness on the part of the reviewers as to previous published manuscript aws and the inability of the editor to improve anticipation and prediction of incorrect algorithms We conclude that the facts presented in the article bear the wrong answer due to the improper choice of methodology and that the reluctance of the editorial board to learn from previous studies, that were awed due to a fear of transparency, led to limited discretion and bandwidth to change that threatened an existing stovepipe behavior within the journal hierarchy The case revolves around adoption of administrative innovation (TQM) in an information systems department (ISD) Using the diffusion of innovations and total quality management (TQM) literature, the author identi ed a set of independent variables (environmental, organizational, and task related), which can be used to explain variance in the two dependent variables (swiftness and intensity of TQM adoption) In this case, we show that making poor operationalizational and transformation of the dependent variables may be awed Additionally, the unit of analysis is dangling and the techniques used for data analysis are inappropriate The poor operationalization, measurement, and transformation of the dependent variables may limit the internal validity of the study Swiftness of Adoption of TQM Swiftness of adoption was de ned as follows: Swiftness of adoption pertains to the relative timing of TQM adoption and measures when an IS unit adopts TQM in systems development Later on, the author writes the following: two measures of TQM adoption are used in this research: swiftness, which measures the relative earliness of adoption; and intensity, which measures the relative completeness of adoption The author uses an ordinal scale to measure the swiftness of TQM Swiftness of TQM adoption was measured by asking the respondents to indicate when TQM in systems development was formally initiated in their organization A 6-point scale with the following values was used: not yet started, <1 year ago, 1 2 years ago, 2 3 years ago, 3 5 years ago, and >5 years ago In addition, the scale included an option initiated and abandoned We believe that the dependent variable swiftness of adoption has at least two problems The rst problem is related to the content validity of the dependent variable Content validity ensures that the measure includes an adequate and representative set of items that would tap the concept If swiftness is de ned as relative earliness of
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