Scholarly Research How the Theory or Conceptual/Theoretical Framework Guides the Research
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.
Conclusion
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 tech