Toyota Measurement strategy

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As part of your OIP, you will need to propose a measurement strategy. This strategy will be used to measure the effectiveness of the new process you are proposing for use in the Toyota Motor Company circa 2010. Different measurement strategies will define and quantify outcomes in different ways, so you want to be intentional about selecting the right way to measure the efficiencies gained through your improvements.
Preparation
Begin your work by researching potential ways to measure the specific process that is the focus of your OIP. Consult the Resources and conduct your own research in the Capella University Library and online.Be sure to consider both qualitative and quantitative measurements. As you do so, consider the following about the measurement strategies you review:
What are they measuring?
What does improvement look like according to that measurement?
What kind of information and data is needed to effectively employ that measurement?
Instructions
Craft a report detailing the measures you will use to gage the effectiveness of your OIP and your overall strategy for implementing those measures. Your report should include the following:
An explanation of two quantitative and/or qualitative measures you will employ in your measurement strategy and why you selected them for your particular OIP.
A brief description of how each measurement will define and quantify the outcomes of your proposed improvements.
An outline of your proposed measurement strategy for gaging the effectiveness of your OIP. Be sure to include how and when you will gather the data necessary for making these measures. Your measurement strategy should combine and order your selected measures in a meaningful way in order to help you understand the impact of your OIP. In your overall strategy, be sure to address how your measurement strategy will help you determine if the results of your OIP are positive, help you ensure that your process does not have an unanticipated negative impact elsewhere, and help you assess if further process change is needed.
Note: Please review and update cause-and-effect diagram and process flowchart in each assessment.
3/27/2018 Research Methods Comparison Table
http://media.capella.edu/CourseMedia/MBA6137/ResearchMethods/wrapper.asp 1/1
Research Methods Comparison Table
Show/Hide Columns: Quantitative Research Qualitative Research Phased Research
Quantitative Research Qualitative Research Phased Research
Scientific Method Deductive or “top-down” Inductive or “bottom-up”
The researcher generates new hypotheses
and grounded theory from data collected
during fieldwork.
Deductive and inductive
Historical Roots Physical/Natural Sciences (e.g., astronomy,
physics, chemistry)
Social/behavioral sciences (e.g.,
anthropology, sociology, psychology)
Emancipatory research, multicultural, ethnic
studies (for critical-theory)
Education, program evaluation, action
research, survey-feedback, consulting,
collaborative research, policy analysis
Advocacy research (transformative-theory)
Most Common
Research
Objectives
Description, explanation, prediction, control Description, exploration, and discovery Multiple objectives
Improvement/change
Focus Narrow-angle lens, testing specific
hypotheses
Wide angle and “deep-angle”lens,
examining the breadth and depth of
phenomena to learn more about them
Multi-lens/multi-perspective focus
Form of Data
Collected
Collect quantitative data based on precise
measurement using structured and validated
data collection instruments (e.g., closedended
items, rating scales, behavioral
responses)
Collect qualitative data (e.g., in-depth
interviews, focus groups, participant
observation, field notes, and open ended
questions)
The researcher is the primary data collection
instrument
Multiple methods of data collection
Both numerical and non-numerical data
Multiple data sources
Nature of Data Operationally defined & measured variables Words/text, images, categories Mixture of variables, words, and images
Data Analysis Identify statistical relationships Search for patterns, themes, and wholistic
features
Value-added “mixing” of quantitative and
qualitative leading to a synthetic
understanding of complex wholes
Validity/Reliability Internal & external validity (primarily related
to research design/methods)
Instrumentation related: Construct, criterion,
predictive validity, etc. Various types of
Reliability
Statistical conclusion validity
Credibility, transferability, dependability,
confirmability, descriptive & interpretive
validity, theoretical validity
Legitimacy
Practical validity, emancipatory validity
Triangulation
Results Generalized findings Particularistic findings
Representation of insider (i.e., “emic”
viewpoint)
Present multiple perspectives
Corroborated findings may generalize, but
focus may be more on creating applied
knowledge in localized settings
Form of Final
Report
Statistical report (e.g., with correlations,
comparisons of means, reporting of
statistical significance of findings.)
Narrative report with contextual description
and direct quotations from research
participants
Eclectic and pragmatic (e.g., Project Reports
w/Executive Summaries; Manuscripts
w/abstracts)
Reference:
Mertens, D. M. (2003). Mixed methods and the politics of human research: The transformative-emancipatory perspective. In A. Tashakkori, and C. Teddlie (Eds.), Handbook of mixed
methods in social and behavioral research (pp. 135-164). Thousand Oaks, CA: Sage
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