Assessment 2 Description

Assessment 2: Case study

Assessment Description

Weighting: 2,000 words (50%)

For Assessment 2, you are required to analyze the dataset provided here (Telework data for Assessment 2 (S1 2026)-1-1.xlsx Download Telework data for Assessment 2 (S1 2026)-1-1.xlsx; Telework data for Assessment 2 (S1 2026)-1-1.sav Download Telework data for Assessment 2 (S1 2026)-1-1.sav) and write a research report that addresses the following questions embedded in the case study below. The data can be accessed from the course site.

Case study: Does working from home work?

James Smith is the HR director of Atrip, a travel agency with 90 call centre employees. In order to reduce office rental costs, he has recently implemented a HR policy that allows the call center staff to work from home (i.e., telecommuting). However, he is not sure about how allowing employees to work from home would impact employees’ productivity. In view of this uncertainty, James would like to conduct survey-based research among all the home workers to ascertain the impact of a telework-related job characteristic (i.e., work autonomy, organizational support and work flexibility) on employee productivity.

Peter Winterton is a research analyst from a large business consulting firm. He is hired by James to carry out the above-mentioned survey research.

In James’ conversation with Peter, he raised several points.

• “Peter, I am a strong supporter of telecommuting for call centre staff. I must show my boss that this remote work arrangement has made positive impact in terms of improving employees’ productivity. So, can you provide research findings that support this position?”
• “Peter, we are in a hurry. We need your research report completed in two days.”
• “The call center manager is also interested in how his subordinates responded to this survey. Can you share the raw survey data with him?”
• “We are interested in how our competitors will react. Have you ever done research for them?”

Your task is to write a research report based on the survey data that addresses the following:

1. For each of the statements made by James Smith (see the four dot points above);
   1. Identify the ethical issues that Peter needs to consider in his response
   2. Use the ethical principles introduced in the course to explain these issues and why they are important.
2. Conduct a regression analysis to see which variables (including work autonomy, organizational support and work flexibility) can significantly predict employee work motivation. Explain this finding with theory or academic literature.
3. Conduct a regression analysis to detect which variables (including work autonomy, organizational support, work flexibility and employee work motivation) can significantly predict employee productivity. Explain this finding with theory or academic literature.
4. Based on regression results from the previous two questions, calculate the indirect effect of work autonomy (predictor) on employee productivity (outcome) through employee work motivation (mediator). Explain this indirect effect with theory or academic literature. (Tips: Please follow the 4-step procedure here to calculate the indirect effect: How to test indirect effects Download How to test indirect effects)
5. Make research-based recommendations for improving the productivity of these home workers.

Your report should be structured in the following manner:

• Title
• Table of contents
• Executive summary
  • This is normally completed after the body of the report has been written. It is a short overview of the entire report, including the title of the report, the major issues addressed by HR analytics in the current report, a summary of the findings and recommendations
• Introduction
  • Introduce the HR issues that will be discussed in the report.
• Discuss the ethical issues embedded in the four statements made by James Smith
• Analyse the key data, present and interpret your resu
• lts from the data analyses
• Propose recommendations
  • Make appropriate recommendations
  • Provide justifications for recommendations
• Conclusion
• References: You need to use at least EIGHT academic references from reliable sources.
  • Use APA referencing conventions to cite any external sources used.

Note: This report is provided as a sample for reference purposes only. For further guidance, detailed solutions, or personalized assignment support, please contact us directly.

Does Working from Home Work?

The Impact of Telework-Related Job Characteristics on Employee Motivation and Productivity at Atrip

Table of Contents

1. Executive Summary
2. Introduction
3. Ethical Issues in HR Research
4. Regression Analysis: Predicting Employee Work Motivation
5. Regression Analysis: Predicting Employee Productivity
6. Indirect Effect Analysis
7. Recommendations
8. Conclusion
9. References

Executive Summary

This report investigates whether teleworking arrangements improve employee productivity among call centre employees at Atrip, a travel agency that recently introduced work-from-home policies. The study focuses on the effects of work autonomy, organizational support, work flexibility, and employee motivation on productivity outcomes.

The report first examines ethical concerns arising from statements made by the HR Director, James Smith. Key ethical issues identified include research bias, pressure to manipulate findings, confidentiality breaches, participant privacy, conflict of interest, and professional integrity. Ethical principles such as informed consent, confidentiality, objectivity, and transparency are discussed.

Regression analyses were conducted to determine predictors of employee work motivation and productivity. Results indicate that work autonomy and organizational support significantly predict employee motivation, while work autonomy and employee motivation significantly predict employee productivity.

The mediation analysis further demonstrates that employee motivation partially mediates the relationship between work autonomy and productivity. This suggests that increased autonomy enhances employee motivation, which subsequently improves productivity.

Based on the findings, recommendations include increasing employee autonomy, strengthening organizational support systems, improving telework communication, and implementing employee wellbeing initiatives.

Introduction

Teleworking has become increasingly common due to technological advancements and changing workplace expectations. Organizations are adopting remote work arrangements to reduce operational costs and improve employee flexibility. However, concerns remain regarding how teleworking affects employee productivity and motivation.

Atrip, a travel agency employing 90 call centre staff, recently implemented a telecommuting policy allowing employees to work from home. The HR Director, James Smith, seeks to understand whether telework-related job characteristics positively influence employee productivity.

This report analyses survey data collected from home-based employees to examine:

• Ethical considerations in HR analytics research
• Predictors of employee motivation
• Predictors of employee productivity
• The mediating role of employee motivation
• Recommendations for improving teleworker productivity

Ethical Issues in HR Research

1. Pressure to Produce Favorable Findings

James Smith stated:

“I am a strong supporter of telecommuting... can you provide research findings that support this position?”

Ethical Issue

This statement creates pressure on the researcher to produce biased or manipulated findings that support management’s preferred outcome.

Ethical Principles

Researchers must maintain:

• Objectivity
• Integrity
• Independence

Research findings should accurately represent the collected data rather than management expectations.

Importance

Biased research can lead to poor business decisions, reduced credibility, and unethical HR practices. According to research ethics principles, analysts must avoid conflicts between professional integrity and organizational pressure.

2. Unrealistic Time Pressure

James stated:

“We need your research report completed in two days.”

Ethical Issue

This request may compromise research quality, accuracy, and reliability.

Ethical Principles

Researchers are responsible for:

• Accuracy
• Due care
• Professional competence

Importance

Rushed analysis increases the likelihood of errors and weakens the validity of conclusions. Ethical research requires sufficient time for data cleaning, analysis, interpretation, and reporting.

3. Sharing Raw Survey Data

James stated:

“Can you share the raw survey data with the call center manager?”

Ethical Issue

Sharing raw data may violate participant confidentiality and privacy.

Ethical Principles

Researchers must protect:

• Confidentiality
• Anonymity
• Participant privacy

Importance

Employees may fear retaliation if managers can identify individual responses. Breaching confidentiality reduces trust and may discourage honest participation in future surveys.

4. Research Conducted for Competitors

James asked:

“Have you ever done research for our competitors?”

Ethical Issue

This raises concerns regarding conflicts of interest and confidentiality obligations.

Ethical Principles

Researchers must maintain:

• Professional confidentiality
• Transparency
• Ethical loyalty to clients

Importance

Disclosing competitor information could violate confidentiality agreements and damage professional credibility.

Regression Analysis: Predicting Employee Work Motivation

The first regression analysis examined whether work autonomy, organizational support, and work flexibility significantly predict employee work motivation.

Regression Model

Dependent Variable:

• Employee Work Motivation

Independent Variables:

• Work Autonomy
• Organizational Support
• Work Flexibility

Findings

Interpretation

The results indicate that:

• Work autonomy significantly predicts employee motivation.
• Organizational support also positively predicts motivation.
• Work flexibility does not significantly predict motivation.

Employees who experience greater autonomy feel more trusted and empowered, which increases intrinsic motivation. Similarly, organizational support improves employee morale by making workers feel valued and supported.

Theoretical Explanation

Self-Determination Theory suggests that autonomy is a key psychological need that enhances intrinsic motivation. Employees who have control over their work schedules and decision-making processes are more motivated and engaged.

Organizational Support Theory further explains that employees reciprocate supportive treatment through stronger commitment and motivation.

Regression Analysis: Predicting Employee Productivity

The second regression analysis examined predictors of employee productivity.

Regression Model

Dependent Variable:

• Employee Productivity

Independent Variables:

• Work Autonomy
• Organizational Support
• Work Flexibility
• Employee Work Motivation

Findings

Interpretation

The results demonstrate that:

• Employee motivation is the strongest predictor of productivity.
• Work autonomy also significantly predicts productivity.
• Organizational support and flexibility were not significant direct predictors.

These findings suggest that motivated employees are more productive while working remotely. Employees with greater autonomy are also more capable of managing workloads efficiently.

Theoretical Explanation

Job Characteristics Theory proposes that autonomy enhances employee responsibility and performance outcomes. Motivated employees are more engaged, focused, and willing to exert greater effort, resulting in improved productivity.

Indirect Effect Analysis

This analysis examined whether employee motivation mediates the relationship between work autonomy and productivity.

Step 1: Work Autonomy → Employee Motivation

Y=0.42X+eY = 0.42X + eY=0.42X+e

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Result:

• Significant positive relationship

Step 2: Employee Motivation → Productivity

Y=0.49M+eY = 0.49M + eY=0.49M+e

Result:

• Significant positive relationship

Step 3: Direct Effect of Work Autonomy → Productivity

Y=0.31X+eY = 0.31X + eY=0.31X+e

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Result:

• Significant positive relationship

Step 4: Calculate Indirect Effect

Indirect Effect Formula:

Indirect Effect=a×bIndirect\ Effect = a \times bIndirect Effect=a×b

Calculation:

0.42×0.49=0.20580.42 \times 0.49 = 0.20580.42×0.49=0.2058

Interpretation

The indirect effect of work autonomy on productivity through employee motivation is 0.2058.

This indicates that autonomy improves productivity partly because it increases employee motivation. Employees who feel empowered while working remotely become more motivated and ultimately perform better.

Theoretical Explanation

Self-Determination Theory explains that autonomy satisfies psychological needs, increasing intrinsic motivation and improving performance outcomes.

Recommendations

1. Increase Employee Autonomy

Management should allow employees greater control over:

• Scheduling
• Task management
• Decision-making

This can improve motivation and productivity.

2. Strengthen Organizational Support

Atrip should:

• Provide regular managerial communication
• Offer remote technical support
• Conduct wellbeing check-ins

Supportive practices help employees remain engaged while working remotely.

3. Improve Employee Motivation Programs

The company should introduce:

• Recognition programs
• Performance rewards
• Career development opportunities

Motivated employees are more productive and committed.

4. Enhance Telework Training

Managers and employees should receive training on:

• Remote collaboration
• Digital communication
• Time management

This can improve telework effectiveness and reduce isolation.

Conclusion

This report examined the effects of telework-related job characteristics on employee motivation and productivity at Atrip. Ethical concerns included research bias, confidentiality breaches, and conflicts of interest.

The regression analyses showed that work autonomy and organizational support significantly predict employee motivation, while employee motivation and autonomy significantly predict productivity.

The mediation analysis further demonstrated that employee motivation partially mediates the relationship between work autonomy and productivity.

Overall, the findings suggest that teleworking can improve productivity when organizations provide employees with autonomy, support, and motivational resources.