Category: Business and Management

Hi, I have used this service for my research proposal. The writer chose a dissertation title for me which was ” STRATEGIC AGILITY:
EVALUATING THE EFFECTIVENESS OF AGILE STRATEGIC MANAGEMENT FRAMEWORKS”.   I had submitted the research proposal to turnitin with no issues. The problem began when my tutor started asking for an ETHICS CHECKLIST and participation form.I filled the ETHICS CHECLIST out on a whim, but the tutor sent me an e-mail saying “Dear Wynter,
I have seen your ethics check list form. There is no relation between topic and project summary.I read your project summary and here is my recommendation of topic for you. If you want to go with it ,please rearrange your ethics check list form accordingly.
Effectiveness of Digital Communication Tools on Employee Productivity in the Healthcare Industry in Birmingham
Remember the research method needs minimum 40 members survey if it is quantitative method and also you can select another sector rather than health care based on the availability of people in the survey.
Try to think and write ethics check list form accordingly.”
I am now confused as to whether I need to change the dissertation title (which I am going to use essaypro to complete) and whether this change will effect the previous research proposal that I have done (I am confused). Please can you explain to me in simple terms what you think of this whole situation and if you will be able to help complete the ETHICS FORM and participation form based on the new title. If yes do I need to pay for them as a seperate order? I am going to send the original research proposal and ethics form for you to see where Ihave gone wrong with the ETHICS FORM , along with the participation form. For you to determined if you can help me fill them out correctly based on the new title suggested by the tutor.  Also would you be able to complete supervisor logs in another order or explain to me what I need to do to complete it along with the consent form. Thank you.

Security risks on the Web: problems and solutions.
(all reports should be a minimum of 5 full double spaced pages. A References List and a cover sheet must also be included and do not count toward the page minimum). 

CSR is a recurring theme in my school curriculum. Hence, i felt inclined to write a paper on it for my college apps. However, due to lack of time and commitment, i constantly find myself struggling with this. CSR which refers to corporate social responsibility is a mechanism through which big firms use to hike their value of goodwill for good public relations. Its a method which every firm is bound to do at some point of their venture. My plan was to write a comprehensive research paper on this topic comparing csr cases between all sorts of big enterprises and elaborate why its such an important mechanism.

Step 4: Monte Carlo Simulation
In this step, you will create a Monte Carlo simulation to determine the best production quantity for the new BMX-9000 model using MS Excel.
Open a new worksheet and name it BMX-9000 Simulation. Name the Tab: BMX-9000.
Starting in the upper right (A1) cell, set up the following model to calculate BMX-9000 gross profits. Cell A1 will have the label: BMX-9000 Production Model
BMX-9000 Production Model
Trial Number Leave this cell blank.
Quantity Produced 100 (this is an initial trial value)
Sales Projection Mean Enter the marketing department’s full-price sales projection as given in the scenario/summary section.
Sales Projection Standard Deviation Enter the standard deviation of the marketing department’s full-price sales project as given in the scenario/summary section.
Projected Demand Enter a formula to calculate a random normally distributed value with the mean and standard deviation of the sales projection.
Quantity Sold at Full Price Enter a formula for the minimum of the projected demand and the quantity produced.
Quantity Sold at a Loss Enter a formula for the maximum of zero and the difference between the quantity produced and the quantity sold at full price.
Gross Profit per Unit (Full Price) Enter the gross profit per unit for full-price sales given in the scenario/summary section.
Gross Profit per Unit (Loss) Enter the gross profit per unit for sales at a loss given in the scenario/summary (should be a negative number) section.
Gross Profit on Full Price Sales Multiply the quantity sold at full price times the gross profit per unit (full price).
Gross Profit on Loss Sales Multiply the quantity sold at loss times the gross profit per unit (loss).
Total Gross Profit Add the gross profit on full price sales and the gross profit on loss sales.
Note: Each time you enter a new value or formula, the number in your projected demand cell, and all other cells calculated from it, will change. This is because Excel recalculates the spreadsheet and generates a new random number each time.
In a blank area of the same sheet, create a two-variable data table in which the row variable is the quantity produced (values of 20 to 200 in increments of 20), the column variable is the trial number (1 to 100), and the result is the total gross profit.
Add formulas to calculate the average gross profit over all 100 trials for each production quantity.
Calculate the Average Gross Profit for each column.
On the same sheet, add a column chart showing the average gross profit for each production quantity. Give the chart a descriptive title and axis labels.
Save the workbook.

This assessment has two items for submission.  The 18-20 PPT slides are to be presented in a 12-18 recorded presentation.  Both the slides as well as the presentation file are to be submitted together.  This assessment is based on a strategic proposal from summative assessment four, while also adding the expectations of a visual aid explanation for the financial analysis. Professionalism (this includes appropriate setting tips from assessment five) as well as eye contact.  Students will convert their assessments into slides, and then use those slides to present their strategic plans for evaluation. 

Here is a link to DOD Best Business Practices.
https://dbb.defense.gov/Portals/35/Documents/Reports/2013/FY13-03%20Applying%20Best%20Business%20Practices%20from%20Corporate%20Performance%20Management%20to%20DoD.pdf
After reviewing the Best Business Practices, find one that you find to be the most important and write about why it is so important. additionally
, Describe 2 historical legislative acts that have institutionalized better business practices within the DoD acquisition community.
Write a two-page paper, plus the title page and a reference page.
Writing Instructions (Please do read this):
•Written communication: Written communication is free of errors that detract from the overall message.
•APA formatting: Resources and citations are formatted according to APA style and formatting.
•Length of paper: typed, double-spaced pages with no less than a two-page paper.
•Font and font size: Times New Roman, 12 point.
Title page info that may be drafted
School: American Military University
Student name:
Professor: Dr Mechelle Kelso
Course: Program and Acquisition Management I

cover page—not included in page limit
executive summary—1 page; not included in page limit
introduction—1 page
fact sheet—1 page
mission, vision, values and goals—1 page
stragegy and objectives—1 page
strategy types and competitive advantage—2 to 3 pages
organizational size and structure—2 to 3 pages
critical resources—2 to 3 pages
leadership, governance, and management—2 to 3 pages
strengths and weaknesses—1 to 2 pages
learning and change—1 to 2 pages
conclusions and recommendations—1 page
references—not included in page limit
addenda—if needed, is not included in page limit
WEBSITE OF BUSINESS: https://srsmile.com
BBB Profile: https://www.bbb.org/us/md/germantown/profile/dentist/senior-smile-0241-235998119 
Name of Business to research more information: Senior Smile (Mobile Dentistry, Dr. Namita Thapa-Dua) 
https://open.lib.umn.edu/principlesmanagement/chapter/4-3-the-roles-of-mission-vision-and-values/
https://go-gale-com.ezproxy.umgc.edu/ps/i.do?p=GVRL&u=umd_umuc&id=GALE%7CCX1552100197&v=2.1&it=r&sid=GVRL&asid=2cabc5fa
https://sk-sagepub-com.ezproxy.umgc.edu/reference/ethics/n523.xml
https://sk-sagepub-com.ezproxy.umgc.edu/reference/healthcaremanagement/n837.xml

You are assigned the task of identifying a specific customer need, problem, or business opportunity related
to the retail clothing industry within the local area that addresses specific Environmental, Social &
Governance issues or a combination of these. 
By applying appropriate tools and methodologies taught
throughout the module, you will explore creative and innovative solutions. Your task includes selecting the
most viable solution, outlining its implementation plan for the next 12 months, and conducting an
innovation audit to identify and address potential implementation issues. 
 Choose a specific customer need, problem, or business opportunity related to the local retail
clothing industry. This could involve issues like promoting sustainable consumption, reducing waste
in retail operations, enhancing access to ethically sourced products, or supporting local businesses.
 Analyse how the chosen opportunity or problem relates to Environmental, Social & Governance
considerations. Consider how the solution could impact the environment, contribute to community
well-being, and align with ethical governance practices. 
 Utilise creative and innovation tools to generate a range of possible solutions for the identified
opportunity or problem in the retail industry. These solutions could include implementing zero-waste
packaging, developing a sustainable supply chain, introducing eco-friendly product lines,
implementing in store experiences, creating digital platform for local artisans, and more.
 Choose the most suitable solution based on its potential impact, feasibility, and alignment with the
identified opportunity or problem. Provide reasoning for your selection, citing relevant data and
factors. 
 Develop a comprehensive outline plan for implementing the chosen solution over the next 12
months. Detail key steps, resources required, stakeholder engagement strategies, and a timeline.  
Apply an innovation audit methodology to proactively identify potential challenges and obstacles
that the solution may encounter during implementation. Consider factors like market readiness,
regulatory compliance, resource availability, and community engagement.
 Offer well-informed recommendations for overcoming the potential challenges identified in the
innovation audit. Provide strategies to mitigate risks, align with local regulations, secure necessary
resources, and foster community acceptance. 
Remember, there should be a clear
connection between the portfolio and the filmed report.
The length of your individual film report should range from 8 to 10 minutes, allowing for a small variation of
+/- 10% in duration. 
Your portfolio must be submitted electronically to Turnitin using the Upload My Assignment link on
LSST Connect and should include the link to the filmed report. In addition, your filmed report must
be uploaded to your LSST Connect OneDrive and the link must be shared with your lecturer.
Your portfolio should reflect your personal effort and contributions, showcasing how you approached the
task with thoroughness and dedication. Your filmed report should be engaging and dynamic, presenting  
you as a capable junior executive with a flair for imaginative communication.
More info in the breaf attached 

The Assignment
Using PowerPoint:
Create a dashboard from the company you selected in Week 3 (Appl) to display five (5) KPIs related to the digital transformation effort. Be sure to include the 4 components of a KPI, as specified in the video, How to Develop Key Performance Indicators, for each KPI you indicate on your dashboard (Week 4 Reading and Supplemental Materials).
Note: Your KPIs will not be the same as shown in the example dashboard below. Every company is different and has various ways to measure success and risks. You may use a line, bar, or pie graph, or a combination thereof to illustrate the status of each indicator. Data incorporated into your dashboard may be fictitious so be creative!
Propose three (3) potential leadership risks mid-level managers may face as they work through the digital transformation effort. Analyze the impact of each risk and provide a mitigation strategy to address each risk.
Your presentation should be no more than two (2) slides (i.e., one for the dashboard and one for risks and mitigation strategies), excluding the title and references slide. APA citations should be included, as appropriate, to support the mitigation strategy for each risk. 

use the original post and references to respond back to both classmates SEPERATELY 
ORIGINAL POST 
Given the specific study topic of the level of relationship
of employee satisfaction with company performance for a high-tech corporation,
the level of measurement must be determined, as well as the measure of central
tendency is best suited to the summary statistic.
Employee
Satisfaction:
i.        
Level of Measurement
Job satisfaction is assessed using a Likert scale and an
ordinal number system. Each item on the Likert scale corresponds to one of four
alternatives: strongly agree, agree, disagree, and strongly disagree. Such
metrics are standardized and determine the amount to which clients are
prohibited from cheating; consequently, an order is being established during
the grading process (Voordt & Jensen,
2023). This technique of measurement allows an organization
to regularly evaluate employees’ feelings and attitudes about the environmental
organization and utilize the instrument to make evidence-based decisions on
employee well-being and engagement issues.
ii.        
Summary Statistic:
The ordinal nature of Likert scale responses makes the
median the outstanding statistic for gauging central tendency. Since it does
not get skewed by outliers like the mean does, the median is a better measure
of representative data and a more accurate representation of the general
responses (Hayes, 2014).
Company
Performance
i.        
Level of Measurement:
Most companies measure their performance using KPIs such as
revenue growth rate, market share percentage, innovation rates (number of
patents or new items generated), and customer satisfaction indices (Lubis et al., 2023). Each of these KPIs is used at the
ratio level of measurement since it has a real zero point and scale continuity.
ii.        
Summary Statistic:
As a measure of central tendency, the mean is anticipated
to work best for ratio data. When dealing with continuous variables like
revenue growth, percentage changes in market share, the mean is undeniably the
most relevant statistic (Hristov &
Chirico, 2019).
Statistical
Analysis:
i.        
Correlation Analysis
Since both employee satisfaction and company
performance can be measured, correlation analysis can establish a link between
the two measurements. Given that the data on employee satisfaction is ordinal,
a statistical test such as Spearman’s rank correlation coefficient could be
applied.
ii.        
Regression Analysis
Regression analysis can be used to identify the predicted
link between employee happiness and corporate success in respect to other
control variables. In this context, a multiple regression analysis would be
ideal to determine how employee satisfaction explains the various KPIs
concurrently.
Conclusion
For the analysts to interpret the data correctly in
the context of the relationship between employee satisfaction and company
performance in a technology company, it is necessary to know which variable is
at the measurement level and to use the correct measure of the central
tendency.
References
Voordt, T. V. D., & Jensen, P. A. (2023). The impact of
healthy workplaces on employee satisfaction, productivity and costs. Journal
of Corporate Real Estate, 25(1), 29-49.
Lubis, Z., Zarlis, M., & Aulia, M. R. (2023).
Performance Analysis of Oil Palm Companies Based on Barcode System through Fit
Viability Approach: Long Work as A Moderator Variable. Aptisi
Transactions on Technopreneurship (ATT), 5(1), 40-52.
Hayes, A. F. (2014). Introduction
to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. https://ci.nii.ac.jp/ncid/BB1323391X
Hristov, I., & Chirico, A. (2019).
The role of Sustainability Key Performance Indicators (KPIs) in implementing
sustainable strategies. Sustainability, 11(20),
5742. https://doi.org/10.3390/su11205742
ROSHY POST
In Module 1, researcher identified
three variables, Leadership Style (LS), Emotional Intelligence (EI) and General
Cohort (GC).  
Researcher examined the
impact of leadership style, emotional intelligence, and generational cohort on
organizational innovation, it is important to correctly determine the level of
measurement for each variable and choose the appropriate measure of central
tendency. Leadership styles (LS) can be classified nominally or ordinally,
depending on whether they are treated as distinct categories or ranked orders,
with Mode and Median being appropriate measures of central tendency (Gravetter
& Wallnau, 2016). The Mean is the best way to summarize emotional
intelligence (EI), which is typically measured on an interval scale using
standardized assessments. It provides a comprehensive average score (Healey,
2014). Nominally classified generational cohorts should be analyzed using the
mode to identify the most common group within the sample (McCrum-Gardner,
2008).  Organizational innovation, which is frequently measured as a ratio
variable using metrics such as the number of new products introduced or patents
filed, is best summarized by the mean, which provides a clear average level of
innovation within the organization (Trochim, 2007).
For Leadership Styles (LS), measurement can be
nominal or ordinal, depending on how LS is categorized. If LS is
categorized into distinct types (e.g., transformational, transactional),
measurement is Nominal. If it is ranked or ordered, it is ordinal. In this
study, researchers plan to use distinct types. Therefore, the measurement
selected for the study is nominal. To identify the most frequently occurring
type, Mode is the appropriate central tendency.
Emotional
Intelligence (EI) is often measured using standardized scales (e.g., EQ-i) that
provide scores or ranks. Therefore, the measurement is Interval for  this
study.  To consider all the scores and provide an average, Mean is
selected for the central tendency.
Generational
Cohorts(GC) are categorized into distinct types (e.g., Baby
Boomers, Generation X, Millennials). Therefore, the measurement is Nominal. To
identify the most frequently occurring type, Mode is the appropriate central
tendency.
Organizational
Innovation can
be quantified using metrics such as the number of new products introduced,
patents filed, or other measurable outputs, which have a true zero point and
meaningful intervals. Therefore, the measurement is Interval. To find the
average of ration data of innovation across the organization, Mean is the
appropriate central tendency.
References
Gravetter,
F. J., & Wallnau, L. B. (2016). Statistics for the Behavioral Sciences.
Cengage Learning.
Healey, J.
F. (2014). Statistics: A Tool for Social Research. Cengage Learning.
McCrum-Gardner,
E. (2008). Which is the correct statistical test to use? British Journal of
Oral and Maxillofacial Surgery, 46(1), 38-41. 
Trochim, W.
M. (2007). The Research Methods Knowledge Base.
https://www.researchgate.net/publication/243783609_The_Research_Methods_Knowledge_Base
SHERNETHEA POST
In
the ever-evolving landscape of financial services technology, the progress
toward gender equity has not kept pace with the speed of innovation, resulting
in a lag in women’s career progression. Career progression, a cornerstone of
workforce development, is an individual’s trajectory throughout their
professional life (Dolton et al., 2005). In U.S. financial services information
technology (IT) organizations, achieving equitable career progression for women
is a noble aspiration and a critical factor for organizational success and
credibility (Rogish et al., 2023). The research question driving this study is:
What are the predictors of higher-level position titles among women in U.S.
financial services IT organizations? To answer this, the study will employ
survey instruments, providing an understanding of the relationship between the
dependent variable (the attainment of higher-level position titles such as Vice
President, Executive Director, and Managing Director) and independent
variables:
Mentoring/Mentorship
(MS)
Organizational
Culture (OC)
Leadership
Development Programs (LDP)
Gender
Diversity Human Resource Policy (GDHRP)
Professional
Network and Support Systems (PN &SS)
Several authors (Zikmund et al., 2012) have discussed
levels of measurement nominal, ordinal, interval, or ratio. Nominal assigns a
value for identification (Zikmund et al., 2012) . Ordinal is a ranking scale
that arranges things in order (Zikmund et al., 2012). Interval captures the
concept’s difference (e.g., by how much) (Zikmund et al., 2012). Ratio is the
absolute quantities (Zikmund et al., 2012). Central tendency refers to the
concentration or clustering of data around numerical values (mean, median, and
mode), as described by McClave et al. (2012, p.63). Here is how this study
categorizes the levels of measurements and central tendencies for the dependent
and independent variables:
Mentoring/Mentorship
(MS): This variable seeks to understand the presence or absence of
mentoring/mentorship throughout women’s career progression in U.S.
financial services information technology (IT) organizations. This
independent variable is nominal, and the mode (the most common measurement
in the data collected) is appropriate as a summary statistic (McClave et
al., 2012).
Organizational
Culture (OC): This variable measures the participants’
perceptions of U.S. financial services’ information technology (IT)
organizational culture. The study will use the Likert scale to measure the
participants’ perceptions (either supportive of women’s career progression
or unsupportive) (Likert Scales, n.d.). This independent variable
is ordinal, and the median is appropriate as a summary statistic (McClave
et al., 2012).
Leadership
Development Programs (LDP): This variable identifies whether the participants
participated in a leadership development program. This independent
variable is nominal, and the mode (the most common measurement in the data
collected) is appropriate as a summary statistic (McClave et al., 2012).
Gender
Diversity Human Resource Policy (GDHRP): This
variable rates the effectiveness of the
GDHRP policies in U.S. financial services information technology
(IT) organizations (either
effective or ineffective). This
independent variable is ordinal, and the median is appropriate as a
summary statistic (McClave et al., 2012).
Professional
Network and Support Systems (PN & SS): This
variable measures whether the professional network and support systems
helped the participants’ career progress in U.S. financial services
information technology (IT) organizations. The study will use the Likert
scale to measure the effectiveness (strongly agree, agree, neutral, or
disagree) of the professional network and support systems (Likert
Scales, n.d.). This independent variable is ordinal, and the median is
appropriate as a summary statistic (McClave et al., 2012).
For the
dependent variable (the attainment of higher-level position titles), this
measure is categorical (e.g., the different position titles). This
variable is nominal, and mode is appropriate as a summary statistic
(McClave et al., 2012)(McClave et al., 2012).
Reference
Dolton,
P., Makepeace, G., & Marcenaro-Gutierrez, O. D. (2005). Career progression:
Getting-on, getting-by and going nowhere: education economics. Education
Economics, 13(2), 237–255.
https://saintleo.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=eric&AN=EJ691087&site=ehost-live&scope=site
Likert
scales: Definition, benefits & how to use them.
(n.d.). Qualtrics. Retrieved May 12, 2024, from
https://www.qualtrics.com/uk/experience-management/research/likert-scales/
McClave,
J. T., Benson, P. G., & Sincich, T. T. (2012). Statistics for
Business and Economics (12th edition). Pearson.
Rogish,
A., Shemluck, N., Hazuria, S., & Danielecki, P. (2023, June 8). Advancing
women leaders in the financial services industry, 2023 update: A global
assessment. Deloitte Insights.
https://www2.deloitte.com/us/en/insights/industry/financial-services/women-leaders-financial-services.html
Zikmund,
W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2012). Business
Research Methods (9th edition). Cengage Learning.