Impacts Of Internet Connectivity On Individual’s Behavior: A Thorough Analysis

Project Objectives

Internet connectivity is such a process, which enables organizations as well as individuals for connecting to the internet through mobile devices, computers, computer terminals and sometimes over the network (Jain, 2016). Internet Connectivity is playing the most crucial role in daily lives of human beings. It has become an essence for people to fulfill professional and personal requirements and activities as well. Thus, this research is mainly aimed to explore the positive or negative impacts of the internet connectivity on the individual’s behavior. Therefore, this study focuses on outlining the entire steps through which a thorough research would be conducted. Moreover, this study also provides brief demonstrations of behavioral issues due to the internet connectivity, factors effecting individual’s behavior through internet connectivity and Technology Acceptance Model.

The major objectives of this project are

1. To explore the positive and negative impact of internet connectivity on individual’s behavior
2. To identify the factors of internet connectivity, which are responsible for affecting individual’s behavior
3. To portray the strategies through which the negative impacts of internet connectivity on individual’s behavior can be resolved

Internet connectivity 

Internet connectivity is such a process, which enables organizations as well as individuals for connecting to the internet through mobile devices, computers, computer terminals and sometimes over the network. Internet connectivity is offered by the Internet Service Providers through several technologies that offer huge range of data signaling speeds (Cotten, Anderson & McCullough, 2013). Consumer utilization of internet first became famous through the dial-up internet access in the 1990s. Many consumers by the first decade of the 21^st century have utilized the faster broadband internet connectivity. However, after 2014, it has almost become ubiquitous all over the world with the average and global connection speed exceeding 4 Mbit/s.

Behavioral Issues Caused due to Internet Access 

Internet connectivity has provided smooth ways to do any kind of work with less effort to individuals. However, sometimes, the excessive utilization of the internet connectivity can cause several behavioral issues among people (Seargeant & Tagg, 2014). For more than a decade, issues related to the internet access have become the major concern for people all over the world. In particular, teenagers and children are easily become the major victim of the behavioral issues of excessive internet use. Spending a huge amount of time over social media or social networking sites can lead to several behavioral and physical issues.

Factors effecting behaviors of individual through internet connectivity 

There are few major factors those play significant roles in affecting individual’s behavior over the internet connectivity. These factors can be categorized under two major divisions such as the internal and external factors (Jain, 2016). According to the internal factors of internet connectivity on the individual’s behavior, these factors are related to the technical aspects of internet connectivity. Therefore, social media, social networking, time wastage, online gambling, spread of wrong information through social media, security concerns with the networking sites and internet connectivity are the major internal factors which can affect the behavior of the individuals (Hong et al., 2013). On the other hand, in case of the external factors, excessive use of internet connection as well as obsessive thoughts regarding the internet are the major external factors those can significantly affect the behavioral aspects of individuals.

Literature Review

Technology Acceptance Model (TAM) 

The “Technology Acceptance Model” is the theory of information system, which can model how users come for accepting as well as utilizing a technology. In addition, this model is a user acceptance model of information systems technology depending on the theory of reasoned action. This model also advises that while users are presented with a new technology, numerous factors impact their decision regarding how and while they would utilize it such as perceived usefulness and perceived ease-of-use. Cheung and Vogel (2013) have defined Perceived usefulness as the degree to which an individual believes that the utilization of a specific system would increase his or her job performance. On the other side, as defined by Rauniar et al. (2014), perceived ease-of-use is the degree to that an individual believes that the utilization of a specific system would be free from effort. In case of TAM model, the people who perceive technology as easy and useful to utilize would more readily accept it than those who don’t.

Data Collection Method

Mackey and Gass (2015) have defined the data collection method as the process of measuring and collecting data on the targeted variables in a systematic way. Moreover, the data collection method can also help an individual for answering relevant question related to a certain research and evaluating outcomes for that particular research. The data collection method mostly depends on the investigation nature and the questions, which would be investigated (Flick, 2015). Data collection method can be subdivided into two methods such as primary and secondary data collection method.

In case of primary data collection method, this particular research technique is carried out for answering few particular questions or issues associated with the research. Primary data collection can be carried out by conducting surveys, interviews or questionnaires with a small group of individuals. On the other hand, the secondary data collection method makes the utilization of the past researches for other purposes such as peer-reviewed journals, articles and other secondary data sources. Hence, in this research, primary data collection can be performed by conducting survey among 50 common people who utilize internet on daily basis.

Data Analysis Method

According to Tarone, Gass and Cohen (2013), Data Analysis is the method or technique of modeling, transforming, cleansing and inspecting data with the objective of discovering helpful details, supporting decision-making and suggesting conclusions. Data Analysis technique can be categorized into two subdivisions such as qualitative and quantitative data analysis technique. According to Hovorka (2016), Qualitative Data Analysis is the range of procedures and processes whereby researcher moves from the collected data, which have been collected into few forms of interpretation, understanding or explanation of investigated situations. On the other hand, Quantitative Data Analysis is referred to a systematic approach to investigations while numerical data is gathered and the researcher transforms what is observed or collected into numerical data. Hence, in this research, quantitative data analysis technique would be utilized to analyze the numerical data collected from survey conducted among 50 common people who are regular users of internet connectivity.

Internet Connectivity

Proposed Timeline for Completing the Project

Figure 1: Hypothesized Model

(Source: Created by Author)

From the above drawn hypothesized model, it can be seen that the relationships have been tried to be implemented among significant factors of this research. Individual’s behavior, positive and negative impacts of internet connectivity, external and internal factors of internet connectivity as well as use of internet tools are directly related to the internet connectivity. Moreover, the internal and external factors of internet connectivity are correlated with each other. Apart from that, from this model, internet connectivity can be identified as the independent variable and the other entities would be identified as the dependent variable of this research.

Conclusion

After conducting the entire project proposal, a clear conclusion can be drawn that this research can significantly identify all the negative and positive impacts of internet connectivity on the individual’s behavior. Hence, the opinions taken from the respondents participating in the survey would help the researcher to reach the proper finding of this research. Thus, this proposal has successfully portrayed the outlines of the approaches to be considered in the research to meet the objectives of the study. Moreover, the hypothesized and Technical acceptance model has interpreted the relationship between all the variables associated with this research.

References

Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175.

Cotten, S. R., Anderson, W. A., & McCullough, B. M. (2013). Impact of internet use on loneliness and contact with others among older adults: cross-sectional analysis. Journal of medical Internet research, 15(2), e39.

Flick, U. (2015). Introducing research methodology: A beginner’s guide to doing a research project. Sage.

Hong, S. B., Zalesky, A., Cocchi, L., Fornito, A., Choi, E. J., Kim, H. H., … & Yi, S. H. (2013). Decreased functional brain connectivity in adolescents with internet addiction. PloS one, 8(2), e57831.

Hovorka, A. J. (2016). Gender resources for urban agriculture research: methodology, directory and annotated bibliography.

Jain, R. (2016). Measuring the Perceived Impact of Internet on Individuals in Rural India (No. WP2016-03-61). Indian Institute of Management Ahmedabad, Research and Publication Department.

Mackey, A., & Gass, S. M. (2015). Second language research: Methodology and design. Routledge.

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.

Seargeant, P., & Tagg, C. (Eds.). (2014). The language of social media: identity and community on the Internet. Springer.’

Tarone, E. E., Gass, S. M., & Cohen, A. D. (2013). Research methodology in second-language acquisition. Routledge.

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