INC4805
Assignment 4
2024
,Introduction
The research project aims to comprehensively investigate the impact of remote work on
employee productivity and job satisfaction within the technology sector. To achieve this, a mixed
methods approach is adopted, combining both quantitative and qualitative research methods.
This approach ensures a robust and holistic understanding of the research problem by leveragin
the strengths of both methodologies. The initial quantitative phase involves administering
structured surveys to a large sample of technology sector employees to gather numerical data o
productivity and job satisfaction metrics. The subsequent qualitative phase involves conducting
semi-structured interviews with a purposive sample of survey respondents to gain deeper insigh
into the quantitative findings, thereby providing context and explanation to the observed patterns
The research is grounded in several philosophical paradigms, including positivist/postpositivist f
the quantitative component, constructivist for the qualitative component, and critical theory for
integrating the findings. The explanatory sequential mixed methods design is selected to provide
both breadth and depth to the investigation. Data collection techniques include structured surve
and semi-structured interviews, with a target sample size of 300-500 for the survey and 20-30 fo
the interviews. The research will adhere to stringent ethical standards, ensuring informed
consent, confidentiality, privacy, non-maleficence, transparency, and debriefing to protect the
rights and well-being of the participants. This methodological rigor and ethical adherence will
ensure the validity, reliability, and meaningfulness of the research findings.
, Question 1
Provide a detailed discussion of the methods you plan to use to investigate
the research problem you have identified. This assignment requires you to
convince the reader that you will carry out the investigation correctly. The
following guidelines should help you in this regard:
i. Describe your chosen
research method/approach (qualitative/quantitative/mixed methods) and state
its relevance to your research problem.
Research Problem
The research problem identified is: "How does remote work impact employee productivity and job satisfaction in
the technology sector?"
Chosen Research Method/Approach
To investigate this research problem, a mixed methods approach will be employed. This approach combines both
qualitative and quantitative methods, leveraging the strengths of each to provide a comprehensive understanding
of the impact of remote work on employee productivity and job satisfaction.
Relevance of Mixed Methods to the Research Problem
1. Quantitative Methods: Survey and Statistical Analysis
Description:
Quantitative methods will involve the collection and analysis of numerical data through structured surveys. The
survey will be designed to measure specific variables related to employee productivity and job satisfaction, such
as:
●
Hours worked
●
Number of tasks completed
●
Self-reported productivity levels
●
Job satisfaction ratings
●
Work-life balance indicators
Relevance:
The quantitative approach is relevant as it allows for the measurement of the extent of remote work's impact
across a larger sample size, providing statistically significant data. This method enables the identification of
trends, patterns, and correlations between remote work and productivity/job satisfaction, which is crucial for
generalizing findings to the broader technology sector.
Steps:
1) Survey Design: Develop a structured questionnaire with closed-ended questions using a Likert scale to
quantify employee experiences.
2) Sample Selection: Use random sampling to select participants from various technology companies to ensure
diversity and representativeness.
3) Data Collection: Distribute the survey electronically to reach a broad audience, ensuring anonymity to
encourage honest responses.
4) Data Analysis: Employ statistical tools such as SPSS or R to analyze the data, using techniques like
regression analysis, correlation coefficients, and ANOVA to examine relationships between variables.
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