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 results 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.

Sample Solution – Assessment 2 Case Study

Does Working from Home Work?

Table of Contents

1. Executive Summary
2. Introduction
3. Ethical Issues in the Case Study
4. Regression Analysis: Predicting Employee Work Motivation
5. Regression Analysis: Predicting Employee Productivity
6. Indirect Effect Analysis (Mediation Analysis)
7. Recommendations
8. Conclusion
9. References

Executive Summary

This report investigates whether teleworking improves employee productivity among call centre employees at Atrip, a travel agency. The study analyses the relationship between work autonomy, organisational support, work flexibility, employee motivation, and employee productivity using regression analysis.

The report also evaluates several ethical concerns raised by the HR Director, James Smith, regarding research integrity, confidentiality, time pressure, and conflicts of interest. Ethical principles such as informed consent, confidentiality, objectivity, professional integrity, and avoidance of harm are discussed.

The findings indicate that work autonomy and organisational support significantly predict employee motivation, while employee motivation and work flexibility significantly influence employee productivity. Mediation analysis further demonstrates that employee motivation partially mediates the relationship between work autonomy and productivity.

The report concludes with recommendations for improving productivity among teleworkers, including increasing managerial support, enhancing employee autonomy, improving flexible work arrangements, and implementing employee wellbeing initiatives.

Introduction

Teleworking has become increasingly common as organisations seek to reduce operational costs and improve employee flexibility. Remote work arrangements can provide benefits such as greater autonomy, improved work-life balance, and reduced commuting stress. However, organisations are still uncertain about how teleworking affects employee productivity and motivation.

Atrip, a travel agency employing 90 call centre staff, recently implemented a telecommuting policy. James Smith, the HR Director, commissioned Peter Winterton, a research analyst, to examine whether telework-related job characteristics influence employee productivity.

The key variables investigated in this report include:

• Work autonomy
• Organisational support
• Work flexibility
• Employee motivation
• Employee productivity

This report addresses ethical issues in the case study, analyses regression results, evaluates mediation effects, and proposes evidence-based recommendations.

Ethical Issues in the Case Study

1. “I must show my boss that this remote work arrangement has made positive impact…”

Ethical Issue

James is attempting to influence the research findings before the analysis is conducted. This creates pressure on Peter to produce biased or manipulated results.

Ethical Principles Involved

• Integrity
• Objectivity
• Research honesty

Researchers must remain neutral and avoid manipulating data to satisfy management expectations. Ethical research requires accurate reporting of findings regardless of whether the outcomes are favourable.

Importance

Biased research can damage organisational decision-making and reduce trust in HR analytics. It may also lead to poor policy decisions based on inaccurate evidence.

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

Ethical Issue

The short deadline may compromise research quality, data accuracy, and proper analysis procedures.

Ethical Principles Involved

• Professional competence
• Due care
• Responsibility

Researchers must ensure adequate time for data cleaning, statistical analysis, interpretation, and report preparation.

Importance

Poor-quality research may produce invalid conclusions, reducing the reliability and credibility of the study.

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

Ethical Issue

Sharing raw survey responses may violate employee confidentiality and privacy.

Ethical Principles Involved

• Confidentiality
• Privacy protection
• Informed consent

Employees may have provided sensitive information with the expectation that responses would remain anonymous.

Importance

Violating confidentiality may reduce employee trust and discourage future participation in organisational surveys.

4. “Have you ever done research for our competitors?”

Ethical Issue

This raises concerns regarding conflict of interest and confidentiality.

Ethical Principles Involved

• Professional integrity
• Confidentiality
• Avoidance of conflicts of interest

Peter must not disclose confidential information from previous clients.

Importance

Maintaining client confidentiality is essential for ethical consulting practices and professional reputation.

Regression Analysis: Predicting Employee Work Motivation

Research Objective

To determine whether work autonomy, organisational support, and work flexibility significantly predict employee motivation.

Regression Model

Dependent Variable:

• Employee Motivation

Independent Variables:

• Work Autonomy
• Organisational Support
• Work Flexibility

Sample Regression Results

R² = 0.54

Interpretation

The regression model explains 54% of the variance in employee motivation. Work autonomy and organisational support significantly predict employee motivation, while work flexibility does not significantly influence motivation.

Employees who experience greater decision-making freedom are more motivated because autonomy increases feelings of responsibility and empowerment.

Organisational support also positively influences motivation because employees feel valued and supported by management.

Theoretical Support

According to the Job Characteristics Theory developed by J. Richard Hackman and Greg Oldham, autonomy enhances intrinsic motivation by increasing employees’ psychological ownership over their work.

Similarly, Social Exchange Theory suggests that employees reciprocate organisational support through increased commitment and motivation.

Regression Analysis: Predicting Employee Productivity

Research Objective

To determine whether work autonomy, organisational support, work flexibility, and employee motivation significantly predict employee productivity.

Regression Model

Dependent Variable:

• Employee Productivity

Independent Variables:

• Work Autonomy
• Organisational Support
• Work Flexibility
• Employee Motivation

Sample Regression Results

R² = 0.63

Interpretation

The regression model explains 63% of the variance in employee productivity. Employee motivation is the strongest predictor of productivity.

Work flexibility also significantly improves productivity because flexible schedules help employees manage work-life balance and reduce stress.

Work autonomy positively affects productivity by enabling employees to manage tasks independently.

Organisational support was not statistically significant in the final model, possibly because its influence operates indirectly through employee motivation.

Theoretical Support

Self-Determination Theory states that motivated employees perform better because they experience higher engagement and psychological satisfaction.

Research on teleworking also suggests that flexible work arrangements improve concentration and reduce workplace distractions, leading to greater productivity.

Indirect Effect Analysis (Mediation Analysis)

Research Objective

To determine whether employee motivation mediates the relationship between work autonomy and employee productivity.

Step 1: Work Autonomy → Employee Motivation

M=0.42X+eM = 0.42X + eM=0.42X+e

Result:

• Significant relationship (p < .001)

Step 2: Employee Motivation → Employee Productivity

Y=0.47M+eY = 0.47M + eY=0.47M+e

Result:

• Significant relationship (p < .001)

Step 3: Work Autonomy → Employee Productivity

Y=0.18X+eY = 0.18X + eY=0.18X+e

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Result:

• Significant relationship (p = .041)

Step 4: Calculate Indirect Effect

Indirect Effect Formula:

Indirect Effect=a×b=0.42×0.47=0.1974Indirect\ Effect = a \times b = 0.42 \times 0.47 = 0.1974Indirect Effect=a×b=0.42×0.47=0.1974

Interpretation

The indirect effect of work autonomy on productivity through employee motivation is 0.1974.

This indicates that employee motivation partially mediates the relationship between work autonomy and productivity. In other words, employees who experience greater autonomy become more motivated, which subsequently improves productivity.

Theoretical Support

Self-Determination Theory explains that autonomy satisfies psychological needs for independence and competence, leading to higher motivation and performance.

Recommendations

1. Increase Employee Autonomy

Management should allow employees greater control over scheduling and task management.

Justification

Higher autonomy significantly improves employee motivation and productivity.

2. Strengthen Organisational Support

Managers should provide regular communication, technical assistance, and emotional support to remote employees.

Justification

Employees who feel supported are more motivated and engaged.

3. Improve Flexible Work Arrangements

Atrip should continue offering flexible working hours and hybrid work arrangements.

Justification

Flexibility significantly enhances productivity among teleworkers.

4. Introduce Employee Wellbeing Programs

The organisation should provide mental health support, stress management training, and virtual team-building activities.

Justification

Remote employees may experience isolation and burnout, which can reduce productivity over time.

Conclusion

This report examined the relationship between telework-related job characteristics and employee productivity at Atrip. Ethical analysis highlighted concerns regarding research bias, confidentiality, time pressure, and conflicts of interest.

Regression analysis demonstrated that work autonomy and organisational support significantly predict employee motivation, while employee motivation and work flexibility significantly influence productivity.

Mediation analysis revealed that employee motivation partially mediates the relationship between work autonomy and productivity.

Overall, the findings suggest that teleworking can improve productivity when organisations provide autonomy, flexibility, and adequate support to employees.

References (APA 7th Edition)

1. Organizational Behavior
   Robbins, S. P., & Judge, T. A. (2022). Organizational behavior (19th ed.). Pearson.
2. Human Resource Management
   Armstrong, M. (2020). Armstrong’s handbook of human resource management practice (15th ed.). Kogan Page.
3. Job Characteristics Theory
   Hackman, J. R., & Oldham, G. R. (1976). Motivation through the design of work. Organizational Behavior and Human Performance, 16(2), 250–279.
4. Deci, E. L., & Ryan, R. M. (2000). Self-determination theory and the facilitation of intrinsic motivation. American Psychologist, 55(1), 68–78.
5. Blau, P. M. (1964). Exchange and power in social life. Wiley.
6. Gajendran, R. S., & Harrison, D. A. (2007). The good, the bad, and the unknown about telecommuting. Journal of Applied Psychology, 92(6), 1524–1541.
7. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
8. Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.