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Analysis of Research Methods and Theories

Analysis of Research Methods and Theories

Wearable health technologies, particularly smartwatches, have emerged as transformative tools in the medical field. The integration of these technologies brings forth a paradigm shift, promising enhanced diagnostics, continuous patient monitoring, and improved treatment adherence. However, the adoption of wearable technology is not without challenges. This paper explores the IT business problem associated with the attitudes and behaviors of individuals in regard to wearable technology, focusing on an article by Dastan (2016). Additionally, insights from two additional sources, Jat & Grønli (2023) and Dinh-Le et al. (2019), will be incorporated to provide a comprehensive understanding of the challenges and concerns in this domain.

IT Business Problem

The business problem revolves around the skepticism and uncertainties surrounding the efficacy, security, and broader impact of smartwatches in medical applications. The potential uses of smartwatches in healthcare, such as real-time monitoring, remote patient management, and enhanced accessibility to health data, are highlighted in research by Jat et al. (2023). However, concerns persist regarding the accuracy of diagnostics, data security, and overall contributions to improved patient outcomes. Dastan (2016) categorizes wearable health technologies within the broader spectrum of wearable consumer electronics. While the study acknowledges the potential of the devices, it also underscores the challenges associated with their integration into everyday life. Dinh-Le et al. (2019) complement this perspective by delving into the intricacies of data privacy and security concerns related to wearable health technologies.

One primary challenge is the need for rigorous validation processes within the healthcare sector. The reliability of health data generated by smartwatches and the adherence to regulatory standards are critical factors influencing their acceptance in medical settings. The reluctance to fully embrace wearable health technologies may stem from the lack of standardized protocols, interoperability issues, and the necessity for transparent communication regarding data handling practices (Pekas et al., 2022). Moreover, concerns about the potential misuse of health data and the vulnerability of connected devices to cyber threats pose significant barriers to widespread adoption. Patients, medical professionals, and government agencies want proof that wearable devices are safe and that strong security mechanisms are in place to protect private health data (Misra et al., 2022). Navigating the complicated terrain of incorporating smartwatches into medical operations is an IT business problem. Further, ensuring regulatory compliance, fostering trust among stakeholders, and addressing skepticism is essential for the successful implementation of these technologies in healthcare. The upcoming parts will provide a more thorough examination of this complex problem by delving into theoretical frameworks, research approaches, and academic studies.

Theories, Concepts, Methods

Theory or Conceptual/Theoretical Framework

To comprehend the elements impacting the adoption and usage of smartwatches in healthcare, the paper by Dastan (2016) uses the Technology Acceptance Model (TAM) as a theoretical framework. The Technology Acceptance Model (TAM), created by Fred Davis in the late 1980s, asserts that a person’s intention to use a technology is significantly influenced by its perceived usefulness and simplicity of use. According to the model, if smartwatches are easy to use and patients believe they can improve health outcomes, then they are more likely to be adopted by healthcare professionals and patients.

TAM offers an organized method for evaluating user perceptions and has been extensively employed in numerous technological adoption studies. It’s especially pertinent in healthcare, as opinions held by patients and experts affect the adoption of new technologies. This theoretical framework makes it possible to examine the variables influencing the uptake of smartwatches in a methodical manner and provides insightful information about potential roadblocks and enablers.

Methods & Research Approach

In the investigation, Dastan (2016) used a mixed-methods approach. To obtain a thorough knowledge of the acceptance and use of wearable technology, they coupled quantitative surveys with qualitative interviews with patients and healthcare workers. In-depth interviews were conducted as part of the qualitative component to investigate the subtleties of attitudes, experiences, and worries around the adoption of smartwatches. On the other hand, by gathering information from a bigger sample, the quantitative surveys offered a more comprehensive viewpoint. The mixed-methods approach is helpful since it enables a more comprehensive investigation of the study problem. Quantitative data provides statistical generalizability, while qualitative insights aid in revealing the underlying motivations. The results’ validity and dependability are increased by the combination of the two methodologies.

If I chose to investigate a comparable issue, I would use a comparable mixed-methods strategy. Interviewing patients, healthcare providers, and IT experts would provide qualitative depth to comprehend the nuances of the difficulties related to smartwatch adoption. A quantitative survey might also be created to collect a larger dataset for statistical examination. The qualitative component could include open-ended questions about perceived utility, simplicity of use, and particular concerns with the adoption of smartwatches in healthcare. Likert scale questions would be used in the quantitative survey to measure preferences and attitudes. Furthermore, adding variables like age, level of technology skill, and prior wearable device experiences would offer a more comprehensive view of the aspects affecting adoption.

The study subject is complex. Therefore, this mixed-methods approach is most applicable as it would enable a thorough investigation of the attitudes, worries, and potential enablers affecting the adoption of smartwatches in healthcare.

Scholarly Research

How the Theory or Conceptual/Theoretical Framework Guides the Research

The study by Dastan (2016) on the adoption and use of wearable technology is guided by the Technology Acceptance Model (TAM). The framework makes the assumption that two important factors influencing a person’s intention to use technology are perceived utility and ease of use. The researchers employed Technology Acceptance Modelling (TAM) to methodically investigate and assess the attitudes, perceptions, and obstacles associated with the implementation of wearable technologies. Technology adoption research can be organized using TAM to better understand how perceived usefulness and convenience affect people’s intentions to use wearable technology. This theoretical framework lets researchers focus on user experience, perceived benefits, and potential barriers to technology adoption. This rigorous approach strengthens the study and makes examining smartwatch adoption defining features easier.

To accurately capture participants’ perspectives, TAM guides the creation of survey items and interview questions in the research. For instance, the TAM components are used to develop questions about how simple it is to use smartwatches, whether integrating them into healthcare procedures is thought to be beneficial, and whether there are any obstacles or worries. This alignment guarantees that the factors mentioned in the theoretical framework are directly addressed by the data that has been gathered, enabling a methodical and theory-driven examination.

Data Analyzed in the Research

Both qualitative and quantitative elements were present in the data that was examined for the study. In-depth interviews with patients and healthcare professionals provided the qualitative data. The subtle facets of participants’ perspectives, experiences, and worries about the use of wearable technology were explored in these interviews. The interview transcripts were analyzed using qualitative techniques like thematic analysis to find reoccurring themes, patterns, and insights. Survey data were gathered quantitatively using structured questionnaires built around the TAM components. The purpose of these surveys was to measure participants’ opinions regarding the usability and convenience of wearable technology. Following that, the survey responses were statistically analyzed, potentially using both descriptive and inferential statistics, such as correlation analysis, to look at the correlations between the variables.

Subsequently, a thorough investigation of the study problem was made possible by the integration of both qualitative and quantitative data. Researchers are able to identify underlying motivations and concerns by using qualitative insights, which offer depth and context. Statistical generalizability was made possible by quantitative data, which provided a more comprehensive viewpoint by measuring attitudes and preferences across a bigger sample.

The researchers sought to triangulate findings by using this mixed-methods approach and coordinating data collection and analysis with the TAM framework, thus enhancing the overall validity and dependability of the research findings. As directed by the TAM framework, the combined findings from qualitative and quantitative assessments add to a more nuanced knowledge of the factors driving the adoption and use of wearable technology.


This assignment has helped to clarify the vital function theory plays in assisting a researcher in choosing their research methodology. A thorough grasp of how theoretical frameworks might influence the research process was made possible by the investigation of the IT business challenges pertaining to the usage of wearable technology. A theoretical basis for the investigation was necessary to comprehend the field of wearable technology and the skepticism surrounding it. Theoretical frameworks provide a lens through which researchers can structure their investigations, define variables, and establish relationships between different elements. In the case of smartwatches in the medical field, theories could range from technology acceptance models to frameworks addressing privacy concerns in healthcare.

The research problem itself guided the selection of theories relevant to the subject matter. For instance, theories addressing user acceptance and perceptions were deemed essential to understanding the doubts surrounding wearable technology. Moreover, exploring the broader implications of integrating these devices into healthcare practices requires technological, ethical, and organizational theories.

In terms of personal insights, this assignment has sparked consideration of potential business technical problems in the realm of healthcare technology. One prospective avenue involves investigating the challenges and opportunities associated with the implementation of telemedicine platforms in resource-constrained environments. The theoretical frameworks for such a study might encompass usability models, ethical considerations, and organizational readiness theories. Moving forward, collaboration and insights from various sources will be invaluable in refining research ideas and addressing potential challenges. Seeking guidance from cohort members who bring diverse perspectives and leveraging the expertise of colleagues and business association members can offer a multifaceted view of the identified business technical problem. Additionally, conversations with friends and family, especially those with experience in healthcare or technology, can provide valuable insights and potentially uncover aspects that might be overlooked.

This assignment has been a stepping stone in recognizing the symbiotic relationship between theory and research methods. It has laid the groundwork for approaching business technical problems with a structured and informed perspective, emphasizing the importance of collaborative engagement for a well-rounded understanding of complex issues in the rapidly evolving landscape of information technology and healthcare.


Dastan, İ. (2016). Time-related changes in the purchasing attitudes and behaviors of individuals: A study on wearable technologies. Journal of Business Studies Quarterly7(3), 61.

Dinh-Le, C., Chuang, R., Chokshi, S., & Mann, D. (2019). Wearable health technology and electronic health record integration: a scoping review and future directions. JMIR mHealth and uHealth7(9), e12861.

Jat, A. S., Grønli, T. M., & Lakhan, A. R. (2023). Towards Next-Generation Healthcare: Architectural Insights into an AI-Driven, Smartwatch-Compatible mHealth Application.

Misra, S., Adtani, R., Singh, Y., Singh, S., & Thakkar, D. (2023). Exploring the factors affecting behavioral intention to adopt wearable devices. Clinical Epidemiology and Global Health, 24, 101428.

Pekas, D., Radaš, J., Baić, M., Barković, I., & Čolakovac, I. (2023). The Use of Wearable Monitoring Devices in Sports Sciences in COVID Years (2020–2022): A Systematic Review. Applied Sciences, 13(22), 12212.


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Write a paper in which you include the following:


IT Business Problem.

Choose one of the articles and discuss the noted IT business problem.

Cite at least two additional sources that discuss this problem.

Analysis of Research Methods and Theories

Analysis of Research Methods and Theories

Theories, Concepts, Methods.

Describe and define any theory or conceptual/theoretical framework discussed in the article.

Describe the methodology and research approach used in the article and explain how you might use it if you decide to research a similar problem.

Scholarly Research.

Explain how that theory or conceptual/theoretical framework is used to guide the research.

Describe which data were analyzed in the research.


Conclude by explaining how this assignment helped you understand how theory can help guide a researcher in determining their research method. Provide insights into how you have begun considering research problems and topics. If you have an idea about a business technical problem, explain it briefly here; if you have not yet considered a business technical problem, explain your next steps as to how you might identify one. What help from cohort members, coworkers, business association members, friends, family, or others have you enlisted or plan to request?

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