wk 4 art

This week’s journal articles focus on transformational leadership and knowledge and knowledge sharing within an organization, please review these concepts and answer the following questions:

  1. How do trustworthy and ethical leaders enhance knowledge sharing in organizations?  How does this impact the rate of information technology implementations?  How does this impact data management within organizations? 
  2. How does servant leadership assist with transferring knowledge in an organization?
  3. When thinking about data analytics, how does transformational leadership assist with building good data structures?

Google Scholar is also a great source for research.  Please be sure that journal articles are peer-reviewed and are published within the last five years.The paper should meet the following requirements:

  • 3 pages in length (not including title page or references)
  • APA guidelines must be followed.  The paper must include a cover page, an introduction, a body with fully developed content, and a conclusion.
  • A minimum of five peer-reviewed journal articles.

CIS 3400

 

A consulting company has a lunch room, 12 conference rooms, 6 LCD projectors, 3 portable PCs, etc. They need to be able to schedule each of these resources for a given day and time period and avoid conflicting use of resources. Also, management would like reporting on resource utilization per week, month, year. They are also considering renting out resources to other companies if resource utilization is low. Queries might include:

When is the next day resource X is free between 1:00 and 5:00.

How many hours per week on average is conference room X occupied.

HR Management & Blockchain

 Explain the contents of human resource information management and address how a human resource information management system based on blockchain would look.

Reference:

 Wang, X., Hui Zhang, L. F., Lyu, C., & Yue You, L.W. (2017). Human resource information management model based on Blockchain technology. IEEE Symposium on Service-Oriented System Engineering, 168-173. DOI: 10.1109/SOSE.2017.34

Chapter 5 from Blockchain for Business

Exp19_Excel_Ch12_Cap_Bulldog_Collectibles

 Exp19_Excel_Ch12_Cap_Bulldog_Collectibles 

 Exp19 Excel Ch12 Cap Bulldog Collectibles 

 Excel Chapter 12 Captsone – Inventory 

  

Project Description:

You are the operations manager for Bulldog collectables, a small start-up company that deals with sports memorabilia. As you prepare to document your inventory, you decide to utilize a template to save time. To complete this task, you will create a worksheet based on an Office.com template; you will also use the Macro Recorder and Visual Basic for Application to automate sorting and calculations within the workbook.

     

Start Excel. Download   and open the file named EXP19_Excel_Ch12_Cap_Inventory.xlsx.   Grader has automatically added your last name to the beginning of the   filename. 

 

Delete the Inventory   Pick List and Bin Lookup worksheets.

 

Delete the INVENTORY   PICK LIST and BIN LOOKUP icons located respectively in cells E2 and F2. Then   Clear all existing Data Validation in the range A1:K15.

 

Delete the values in   the range B5:J15.

 

Record a macro named Sort, be sure to use   relative references. Ensure the macro sorts the data in the table in   ascending order based on SKU (column A). Stop the Macro Recorder and Save the   workbook as a Macro-Enabled Template.

 

Create a form control   button that spans the cell E2:E3. Assign the Sort macro and edit the button   text to Sort.

 

Use the VBA Editor to   create a new module.
 

  Type the following VBA code to create a custom Inventory Value function then   save and exit the VBA Editor (be sure to leave a blank line between each line   and before End Function):
 

Function InventoryValue (QTY, COST)
 

InventoryValue = QTY * COST
 

 

Click cell J5 and use   the newly created InventoryValue function to calculate the value of the   inventory for each item in column I.

 

Use the VBA Editor to   create a new module named ProtectWorkbook. Type the following VBA   statements to create the sub procedure (leave appropriate line spacing).
 

Sub ProtectWorkbook()
 

‘Protect workbook using the password eXploring
Worksheets(“Inventory List”).Protect   Password:=”eXploring”

 

Insert a new module   named UnprotectWorkbook. Type the following VBA   statements to create the sub procedure and then save and exit the VBA Editor   (leave appropriate line spacing).
 

Sub UnprotectWorkbook()
 

‘Unprotect workbook using the password eXploring
Worksheets(“Inventory List”).Unprotect Password:=”eXploring”

 

Insert a Form Control   Button spanning cells F2:F3 named Unprotect. Assign the UnprotectWorkbook   macro to the newly created Control Button.

 

Insert a Form Control   Button spanning the range G2:H3 named Protect. Assign the macro ProtectWorkbook.

 

Insert the comment Inventory   based on values in column J. in cell B3 (include the period).

 

Insert the comment Count   of items in column C. in cell C3 (include the period).

 

Inspect the document   for private information and hidden properties. Save the file when prompted   then remove Document Properties and Personal Information, and Headers and   Footers.
 

  Note: Mac users, from the Excel menu, open your preferences, click Security,   and then click the check box to Remove personal information from this file on   save. Delete any headers or footers in the workbook.

 

Check the document   for accessibility issues. Use the Accessibility Checker pane to change the   cell styles to Normal in order to repair the issue.

 

Check the document   for compatibility with Excel 2010, 2013, and 2016.
 

  Note: Mac users, skip this step.

 

Insert a new   worksheet named Code.

 

Open the VBA Editor,   open Module 1, and copy the code. Paste the code in the Code worksheet   starting in cell A1. 

 

In the VBA Editor,   open Module 2, and copy the code. Paste the code in the Code worksheet   starting in cell A22. 

 

In the VBA Editor,   open the ProtectWorkbook, and copy the code. Paste the code in the Code   worksheet starting in cell A28. 

 

In the VBA Editor,   open the UnprotectWorkbook module, and copy the code. Paste the code in the   Code worksheet starting in cell A35. 

 

Close the VBA Editor   and save the workbook as an xlsx file (not Macro-Enabled).

 

Close EXP19_Excel_Ch12_CAP_Inventory.xlsx.   Exit Excel. Submit the file as directed.

Research Paper

Contingency PlanningContingency planning is a risk mitigation process for developing back-up plans in anticipation of events (scenarios) that might disrupt ‘business as usual’. Business continuity planning is an expanded version of contingency planning that typically encompasses a more comprehensive and extended response plan for getting back to ‘business as usual’. In a well-formatted, highly-detailed research paper, address the need to contingency planning, ensuring to address the following items:

(1) Benefits of scenario events/planning.
(2) Questions to consider when implementing scenario planning.
(3) The common types of scenario planning.Your paper should meet these requirements:

  • Be approximately four to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Journal entry

 

 Pick one of the following terms for your research: bounded rationality perspective, cognitive biases, decision learning, devil’s advocate, groupthink, incremental decision model, management science approach, nonprogrammed decisions, rational approach, or satisficing. . 

–  The paper should have a ‘Definition, Summary and Discussion’ headings ( Summary should have 150-200 words and discussion should have 300-350 words. )

– Attach minimum 2 references

– Absolutely no plagiarism, attach a plagiarism report with a 0% similarity index

research paper

  • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Data Analysis Report

 

Module 2: Project Data Wrangling

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Instructions

For this portion of the project, you will examine your dataset for incorrect data. Any incorrect data should be removed, corrected, or imputed. Follow these steps:

  • Remove irrelevant data. If you are unsure if it is irrelevant, then keep it.
  • Remove duplicate records that are repeated.
  • Make sure numbers are interpreted as numerical data types.
  • Fix typos.
  • Standardize.
  • Investigate outliers.
  • Check and manage missing values.
  • Format and normalize data if needed.
  • Change categorical values into numbers if needed.

Once you have completed this, you will need to provide a Word document summarizing the pre-processing steps performed on your dataset.

Module 3: Project Exploratory Analysis

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Instructions

In this assignment, you will perform an exploratory analysis that will allow you to get a feel for the data and start exploring potential relationships. This may include:

  • Descriptive statistics
  • Histograms
  • Bar charts
  • Heat maps
  • Line graphs
  • Box plots
  • Frequency tables

Once your analysis is complete, you will need to provide a Word document showing and describing the results of your exploratory analysis.

  1. Using your chosen dataset, reevaluate the heat map from the last module.
  2. Consider ways to perform a visual check to see if there is a relationship between fields.
  3. With this insight, develop a model using either linear regression or multiple linear regression.
  4. Report the intercepts, slope, model accuracy, output to predicted comparison, and a scatterplot with line portraying the model.

Once you complete these steps, you will need to provide a Word document showing and explaining the results of your model development.

After finishing Proposal create a final report of 5-6 pages

Use Python, Jupyter and show the visuals of the data analysis with introduction, conclusion