Research methods assignment one essay sample

Master your research methods assignment with this detailed essay sample on TQM, methodology, data collection, and ethics—boost your understanding and academic success today!

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Introduction

Total Quality management [TQM] aligned with consistent improvement, leveraging of data and metrics for undertaking informed decision that foster business operations. TQM proves to be essential in varied domain such as competitive advantage, customer retention, higher productivity and enhanced collaboration (Souza et al, 2022). Conducting researching in TQM context proves to be highly beneficial as it depicts about the ways in which TQM enhances operations of business along with highlighting the challenges persuaded within TQM. The present research proposal will undertake comprehensive literature review in topic context. Furthermore, methodology would be highlighted along with providing justification. Moreover, ethics and timeline will be presented. Students seeking assignment writing help can benefit from this detailed study of TQM’s impact on business operations.

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Literature Review

As per the views of Liu et al, (2023) TQM is a consistent process of detecting and eliminating errors pursuing in business operations. It fosters supply chain management and improves customer experience that assures that employees are getting consistent training. TQM is determined as a structured approach that focuses upon overall management of organisation, prior focus implied on improving the quality of operations. On the other hand, Al-Zoubi et al, (2023) stated that TQM requires professional expertise that increases the cost of production. For instance- in order to undertake total quality management procedure certain software such as QMS Xpress, QT9 QMS, Veeva and so on are used in business. For using these software, professional expertise is needed and therefore, training has been organised within companies so that employees can be trained. This results in increasing the cost of production in organisations due to which often company charges higher prices from their customers.

Canbay and Akman (2023) Elucidated that TQM can often lead to inefficiencies within production process, technological glitch in the system and lack of knowledge in employees drastically influences operational outcomes. Thus, TQM develops positive impacts only when consistent innovation in the process undertaken and training has been organised. Javaid et al, (2021) revealed that, by updating the software on timely basis, risks related to technological glitch can be maintained and further significant outcomes could be gained. Hence, there is no doubt in stating that it is crucial to focus on tackling challenges as it promotes effectual implementation of TQM in the business.

In the views of Niu et al, (2021) it has been witnessed that by deeply analysing data in each documented procedure with methodical statistical process control business reduces their product defects. It further supports in product development lifecycle which is pivotal for operational efficiency. However, Fonseca, Amaral and Oliveira (2021) stated that implementation or operationalising of TQM can take years to show result. Therefore, organisation should not completely rely on Total Quality Management for enhancing their operational efficiency. The views of authors clearly specifying that professional expertise required for undertaking the implementation of TQM. The topic holds the notion of debate and therefore, research in this area is pivotal so that significant understanding can be developed regarding the impacts of TQM.

As stated by Ammar et al, (2021) Total Quality Management saves companies time while taking decision related to raw materials. This enhances the operational efficiency of business and assures greater satisfaction to customers. TQM enhance change adapting capabilities of companies and accordingly businesses become able to implement changes and works according with the regulatory environment. Lepistö, Saunila and Ukko (2024) articulated that customers are put at the forefront of TQM and therefore, customer-centric decision taken by businesses which enhances customer satisfaction to greater extent. This eventually results in improving the productivity of organisations and fosters operational efficacy.

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On the basis of literature review this can be said that Total Quality Management [TQM] develops positive influence on business operations. However, there is need to imply focus on solving challenges related to high cost, lack of expertise and technological glitch so that negative influence of TQM can be reduced.

Aim And Objectives

Aim

The aim of the research is “To analyse the impact of Total Quality Management [TQM] in enhancing business operations.

Objectives

  1. Quantitative Objective- To assess the influence of Total Quality Management in enhancing business productivity.
  2. Qualitative objective- To analyse the challenges faced by businesses while adhering to TQM and determining strategies for overcoming challenges.

Qualitative Methodology

Research philosophy complies with considering the beliefs and opinions of people for developing outcomes. Interpretivism [Suitable for qualitative] and positivism [Suitable for quantitative] these are two types of philosophies; research will undertake mixed methodology method which means qualitative and quantitative both the information would be allocated (Verma, Verma and Abhishek, 2024.) Henceforth, two of these philosophies; interpretivism and positivism will be considered in current study context. Interpretivism comprises with analysing the faith and belief of people associates with research area and therefore perception of participants will be used for developing findings.

Sampling

Sampling is expounded as the process of approaching participants for conducting research (Ahmed, 2024). For gathering qualitative information, probability sampling will be followed. It aligns with random selection of participants and this ensures that no biasness would be perform in research procedure. The sampling population will be RMB students and sampling size would be 5. The rationale behind undertaking probability sampling method comprehends with reduced biasness and higher reliability.

Data collection

Data collection refers to the process of allocating information for developing final research outcomes. This process proves to be highly crucial as it determines about the ways through which insights are gained and presented as final outcomes (Karunarathna et al, 2024). Primary and secondary these are two ways through which information can be collected. Primary method associates with allocating first-hand information which means direct interaction with the participants is established and consequently, information is gathered. On the other hand, secondary method complies with reviewing books and journals for gaining insights regarding research context. For gathering qualitative information researcher will use both the methods; primary and secondary for conducting research.

There are different methods such as interview, surveys and focused group are available for gaining qualitative insights. Interview supports in in-depth evaluation of research context as it provides chance to participants in terms of presenting their opinions (Susilawati et al, 2025). Survey is suitable for gathering quantitative information while focused group creates difficulty in analysing data as it is complex to evaluate individual opinion from group discussion. Therefore, in order to allocate primary information interview will be conducted and questions would be asked to participants for analysing the challenges and strategies in relation to TQM and its impact on business efficiency. Interview provides chance to undertake in-depth analysis regarding research area and robust data can be collected. Therefore, questions will be asked to participants and their opinions would be considered.

On the other hand, secondary data would be allocated by reviewing authentic and reliable sires such as Google Scholar. Accordingly, articles and journals regarding research area will be approached and information would be used for developing outcomes. Thus, in this manner researcher will allocate both the data for gaining qualitative insights in research context (Susilawati et al, 2025). This will provide greater flexibility to researcher and therefore, there would be less chances of errors.

Data analysis

Data analysis is delineated as the process of systematically implying statistical and logical techniques for describing and evaluating gathered information. It is pivotal to select effective data analysis technique as it impacts efficacy of the outcomes (Verhage et al, 2024). As per the suitability of qualitative research, thematic analysis is appropriate. This refers to that method which is implied for set of text such as interview. For analysing primary as well as secondary data, thematic analysis would be suitable. Different themes in context of impacts, challenges and strategies will be develop and consequently data will be presented. Thematic analysis is concerned with greater flexibility and therefore, this will reduce the chance of errors and ensures greater reliability in outcomes. Via incorporating thematic analysis effectual presentation of findings would be done.

Quantitative Methodology

In order to collect quantitative insights, positivism philosophy will be approached. It aligns with the evaluation of existing theories for developing research outcomes. This supports in providing scientific evidences and enhances reliability of outcomes.

Sampling

For gathering quantitative information probability sampling will be preferred and accordingly participants would be approached without undertaking any kind of discrimination. 30 RMB students will be taken as sampling size and sampling population. There would be no such issue in approaching candidates as they belong from university. However, their identity will be kept private and no disclosure of their personal information will be done.

Data collection

For gaining quantitative insights only primary data collection method will be followed and accordingly, survey will be undertaken. Survey refers to that method in which questionnaire is used for collecting information, it proves to be suitable for gathering quantitative information (Pregoner, 2024). Questionnaire will be used as a data collection tool and set of close-ended [Likert-scale questions] would be include for gathering data. The Qualtrics will be used for creating survey and gathering response. The questionnaire will be given to participants through online platform and their responses would be considered. Survey supports in gaining wider responses that ultimately results in enhancing efficacy of outcomes.

There is no such issue related to literacy or other elements recognised in the study as the participants are students who can effectively understand the research context and provide response accordingly. Hence, this can be said that researcher will be preferring appropriate method for gaining quantitative insights and this further supports in gaining effectual insights.

Data analysis

As stated earlier, data analysis is a crucial procedure in the study. I accordance with the data type, appropriate analysis method should be considered. In order to analyse quantitative information, statistical analysis will be preferred, it is concerned with undertaking coding and tests for developing outcomes (Manata and Fu, 2024). SPSS will be used and consequently, frequency table distribution, descriptive statistics and regression test would be implied for generating results. By using statistical analysis, researcher will effectively assess gather data and impact of Total Quality Management on business operations would be evaluate.

Ethics, Limitation And Timings

Ethical issues

Ethics are considered as pivotal element in research area and thereby, scholar will imply specific emphasis on this area (Karunarathna et al, 2024). While gaining primary insights, confidentiality of the participants will be maintained and no disclosure of their identity would be done. Privacy and dignity of research participants throughout the procedure will be maintained. Furthermore, concept of informed consent will be prioritised and subsequently, awareness in participants will be develop regarding research context and information would be gather (Pilcher and Cortazzi, 2024). Moreover, no harm will be developed for anyone throughout the procedure and ethical guidelines would be followed.

The data will be kept confidential in university library and no misuse would be done. On the other hand, for collecting secondary information only those articles will be preferred which are peer reviewed. Also, academic integrity would be performed and no plagiarism will be done. Credit to the authors will be given whose content would be use.

Limitations

Limitations which might impacts research procedure concerned with lack of time management and ineffective finance management. These loopholes have the potential to impact the robustness of study and thereby, researcher will emphasis on this area. Time management will be done by making timeline and this guides in completion of each task within set timeframe. The financial management would be done by setting budget before starting study.

Timeline

Timeline

The above-mentioned timeline depicting about the activities and time in which tasks should be completed. The researcher will follow this timeline and accordingly, research would be conducted and timely outcomes will be developed.

References

Books and Journals

  • Ahmed, S.K., 2024. Research Methodology Simplified: How to Choose the Right Sampling Technique and Determine the Appropriate Sample Size for Research. Oral Oncology Reports, p.100662.
  • Al-Zoubi, Z., Qablan, A., Issa, H.B., Bataineh, O. and Al Kaabi, A.M., 2023. The degree of implementation of total quality management in universities and its relationship to the level of community service from the perspectives of faculty members. Sustainability, 15(3), p.2404.
  • Ammar, M., Haleem, A., Javaid, M., Walia, R. and Bahl, S., 2021. Improving material quality management and manufacturing organizations system through Industry 4.0 technologies. Materials Today: Proceedings, 45, pp.5089-5096.
  • Canbay, K. and Akman, G., 2023. Investigating changes of total quality management principles in the context of Industry 4.0: Viewpoint from an emerging economy. Technological Forecasting and Social Change, 189, p.122358.
  • Fonseca, L., Amaral, A. and Oliveira, J., 2021. Quality 4.0: the EFQM 2020 model and industry 4.0 relationships and implications. Sustainability, 13(6), p.3107.
  • Javaid, M., Haleem, A., Singh, R.P. and Suman, R., 2021. Significance of Quality 4.0 towards comprehensive enhancement in manufacturing sector. Sensors International, 2, p.100109.
  • Karunarathna, I., Gunasena, P., Hapuarachchi, T. and Gunathilake, S., 2024. The crucial role of data collection in research: Techniques, challenges, and best practices. Uva Clinical Research, pp.1-24.
  • Karunarathna, I., Hapuarachchi, T., Ekanayake, U. and Gunathilake, S., 2024. Research integrity and plagiarism: Best practices for ethical publishing.
  • Lepistö, K., Saunila, M. and Ukko, J., 2024. Enhancing customer satisfaction, personnel satisfaction and company reputation with total quality management: combining traditional and new views. Benchmarking: An International Journal, 31(1), pp.75-97.
  • Liu, H.C., Liu, R., Gu, X. and Yang, M., 2023. From total quality management to Quality 4.0: A systematic literature review and future research agenda. Frontiers of Engineering Management, 10(2), pp.191-205.
  • Manata, B. and Fu, J.S., 2024. Quantitative methods in organizational communication. Organizational Communication Theory and Research, 8, p.65.
  • Niu, Y., Ying, L., Yang, J., Bao, M. and Sivaparthipan, C.B., 2021. Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), p.102725.
  • Pilcher, N. and Cortazzi, M., 2024. 'Qualitative'and'quantitative'methods and approaches across subject fields: implications for research values, assumptions, and practices. Quality & Quantity, 58(3), pp.2357-2387.
  • Pregoner, J.D., 2024. Research approaches in education: A comparison of quantitative, qualitative and mixed methods. IMCC Journal of Science, 4(2), pp.31-36.
  • Souza, F.F.D., Corsi, A., Pagani, R.N., Balbinotti, G. and Kovaleski, J.L., 2022. Total quality management 4.0: adapting quality management to Industry 4.0. The TQM journal, 34(4), pp.749-769.
  • Susilawati, A., Al-Obaidi, A.S.M., Abduh, A., Irwansyah, F.S. and Nandiyanto, A.B.D., 2025. How to do research methodology: From literature Review, bibliometric, step-by-step research stages, to practical examples in science and engineering education. Indonesian Journal of Science and Technology, 10(1), pp.1-40.
  • Verhage, M., Lindenberg, J., Bussemaker, M. and Abma, T.A., 2024. The promises of inclusive research methodologies: Relational design and praxis. International Journal of Qualitative Methods, 23, p.16094069241230407.
  • Verma, R., Verma, S. and Abhishek, K., 2024. Research methodology. Booksclinic Publishing.

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