Main Menu

My Account
Online Free Samples
   Free sample   Digital marketing assignment on designing a marketing plan for eagle wings

Digital Marketing assignment on designing a marketing plan for eagle wings


Task: How can eagle wings use Digital Marketing assignment research methods to develop a effective brand marketing plan?


According to the given business ethics assignment, the specified organisation has, for some time now, been employing sentiment analysis to compile data drawn from various social media platforms and relating to the opinions of its clients and potential clients. Because of this approach, they have developed a deep knowledge of their clientele, which has led to the execution of a number of marketing efforts that have been quite effective. The use of social media in companies, including recruitment, observation, and engagement with researchers, is growing at an alarming rate. this business ethics assignment highlights complicated ethical challenges that the researchers have encountered but for which there is no particular advice in the existing body of literature. These dilemmas concern issues such as permission, traceability, working with children, and criminal conduct.

Literature review
The term "social media" refers to websites and programmes whose major focuses are on communication, community-based input and participation, engagement, content sharing, and collaborative activities of various kinds. Users are able to work together on the production of content via the use of Web-based computer-mediated tools such as social networks, blogs, and the like. These business ethics assignment tools also enable users to share or trade information, ideas, photographs, or videos within virtual communities and networks. Researchers now have access to new channels via which they may quickly gather data, particularly from sources that may have been difficult to get to in the past. This is largely due to the advent of social media. As a result, the practise of using social media analytics, in which postings or conversations are analysed using qualitative approaches or aggregate numerical data collecting, has seen a significant uptick. Hennell, Limmer, and Piacentini (2019) argue that social media platforms have the potential to become a game-changing tool in medical research due to the enormous amount of data they collect and the speed with which it can be accessible, nearly in real time. The monitoring of illness or health trends, the gathering of patient perspectives or experiences, and medication or product surveillance are some examples of the various applications of social media analytics in the medical field.

However, these new lines of inquiry do not come without their share of ethical issues. In the same way as with other types of research, the goal and usefulness of the study, the possible advantages and risks to participants, as well as concerns around privacy, informed permission, and confidentiality, are all potentially challenging aspects to take into account. However, conventional business ethics assignment research is substantially different from research conducted via the Internet, and as a result, Internet research presents many distinct ethical difficulties. While the processes for getting ethical clearance for conventional research are well-established, it is difficult to determine whether or not these processes can be easily translated to research that is mediated through the Internet. Although there has been a lot of discussion on the ethical difficulties surrounding social media research, researchers and users of social media have hardly ever been polled about their opinions. At the moment, business ethics assignment researchers seek direction from a broad range of sources, such as particular institutions, research supervisors, and topic expert assistance. Additionally, there have been a growing number of recommendations presented expressly for research utilising social media.The degree to which data from social media sites should be considered public or private information is a major source of worry. According to Matamoros-Fernández and Farkas (2021), a key pillar of this argument is the concept that social media users have all committed to the same terms and conditions for each social media network they use.

Consent given knowingly and voluntarily by participants is an essential component of the ethical conduct of any and all sorts of study. Accomplished by Maher et al.,( 2019)When doing research using methods that are considered to be more conventional, informed consent is often included into the design of the study. This may take the form of permission forms or checkboxes that need to be checked off and signed on surveys. On the other hand, business ethics assignment research based on social media offers challenges when it comes to obtaining the participants' informed permission Choi et al., (2020). The data of social media users is often accessed and analysed without first attempting to get the users' informed agreement in the majority of these instances. "Participants" in these types of studies are seldom aware that they are taking part in the study. Obtaining informed permission gets increasingly difficult when more data are added to the set. According to Teles da Mota and Pickering, (2020) aggregate data sets comprising thousands or even hundreds of thousands of data units, obtaining informed consent may seem to be almost impossible. In addition, there is a temptation to confuse informed consent in research with a user of social media having accepted to the terms and conditions of the site, many of which contain provisions on the accessing and re-use of data by third parties Lee and Wei (2022). This is a business ethics assignment challenge, particularly when one considers the fact that many users of social networking platforms claim they have not read the terms and conditions in their entirety.

Even while data from social media platforms may be easily or "freely" accessible, this does not remove the need for thorough examination of legal and ethical issues. On the other hand, making use of such data gives rise to significant legal requirements as well as intricate ethical concerns about research.At this point, a lot is dependent on the researcher's own personal opinion. At this time, there are no norms of practice or guidelines that are generally recognised that address research pertaining to social media. The term "social media" may be defined in a number of different ways, but ultimately they are all referring to the same thing. Utilizing social media for research may be done in a variety of different ways. As per Favarettoet al., (2020) a component of the process of doing research, it serves both as a conduit for the recruitment of participants and as a source for a variety of different forms of data. The field of social media research, for instance, makes use of observational and interactive business ethics assignment study methodologies, in addition to surveying and interviewing participants. Communication between scientists working in the same subject, as well as between scientists and the general public, may also take place via the use of social media.
Social media data may contain copyrighted content. In gathering materials may be seen, from a legal standpoint, as the reproduction of a work, the copyright considerations were already taken into account at the period of gathering materials (this is atypical). Copyright difficulties are often pertinent to business ethics assignment research publications, the continued usage of content, and the possibility of opening up further material.Data from social networking platforms nearly usually includes personally identifiable information, such as an online identification. In situations like this, the information that was gathered is subject to legislation regarding the protection of personal data. Anonymizing data may be a challenging endeavour, and in certain instances it's just not viable to do so inside the realm of social media. Conventional procedures, such as omitting identifiers and simplifying the information, do not provide the desired results. This literature review provides a summary of the previous studies that analysed people's perspectives on the ethical concerns involved in conducting research utilising social media. This will assist in contributing to and consolidating present research practice, as well as clarifying those ethical problems that are most significant to both the general public and researchers. The development of evidence-based recommendations for researchers undertaking business ethics assignment study utilising social media will be facilitated as a result of this, which will benefit guideline developers.

Recommendations for future research designs when using social media for data collection

This business ethics assignment research centre focuses on a wider range of topics than simply social media alone, and as a result, it provides a lot of information on methodological advancements and issues in areas such as sample bias. According to Ali et al., (2020), sampling not only makes it possible to manage research projects of any kind and scale but also greatly reduces the expenses associated with such projects. The results of sampling create business ethics assignment study findings that are more accurate, and as a result, sampling should be chosen. Sampling not only makes it possible to interpret the information in a more effective manner but also speeds up the process of collecting primary data.

Data gathering methods
There is a wide variety of approaches to data collection and presentation that may be used for social media platforms for the given company. This is dependent on the kinds of behaviours that are being examined as well as the platforms that are being utilised as source material (Mazhar et al., 2021). Indeed, in some situations, social media platforms have the capacity to create data at the population level in a timeframe that is very close to real-time. They features separate social media-generated data from material that is obtained through conventional research techniques; these are either more intense or time-bound, as shown in the table below. Social media-derived data are more likely to be current.

Data Collection

Data Collection


Data Analysis








Social Media Specific

Surveys and Experiments

Data analysis
In light of the many different kinds of data that might be collected for the futture implications of the given study and the potentially huge amounts of data that have already been collected, new and innovative methods of doing quantitative and qualitative research might be:

Quantitative Approaches:
The most straightforward approach of looking at large amounts of data, either linked with certain groups or with volumes of mentions of a single keyword during a predetermined amount of time, is to do a volume analysis. Because it is helpful for engagement analysis and because it is often a significant infographic that is provided on social media analysis platforms, Relationship Analysis might be employed (Smith and Hasan, 2019). Finding correlations in data requires comparing one set of data from social media with another set of data either over time or using some other kind of independent variable. Using data from social media platforms as an indicator or prediction tool relies on this as its foundation. It is possible that regression and classification might be an especially helpful tool for informing intervention strategies (Terkenli, et al., 2021). Clustering is simply a quantitative form of segmentation; it makes use of an algorithm to assign data to a cluster in which all of the items in that cluster have similar features. When looking at the demographic features of people who are chatting about issues, this may be quite helpful. The business ethics assignment geographical aspect that is often included with social media data is known as Geographical Information Systems (GIS). This might help the information to be mapped to offer a real-time or historical depiction of the spread of an event (Xia et al., 2022).

Qualitative Approaches:
Existing qualitative research may be supplemented and made more comprehensive by researchers actively engaging with data from social media platforms as a further source of information. One of the applications of this method is the identification of difficult-to-reach groups for the purposes of interviewing or extra surveys, which is an example of how Segmentation Analysis may be useful for future study (Lester, et al., 2020). It is possible to produce a thematic analysis the data from social media platforms in order to determine the affective quality of the content and to categorise hierarchical data in order to determine regions of relevance within such datasets. It is possible to modify already existing algorithms in order to carry out automatic sentiment analysis and determine if a piece of text expresses a positive or negative attitude that has been done here. Image and video material (Graphical Media Analysis) is becoming an increasingly essential form of contact online and has the potential to give valuable data on topics of interest such as the usage of recreational drugs or food safety procedures. In addition, to direct semiotic analysis of the material in question, additional in-depth analysis of the manner in which it is shared and the reasons behind its sharing are required (Dufour and Richard, 2019). This is especially true when considering the possibility that the semiotic cues will be taken out of their original context.

business ethics assignment Validity
When doing research, validity is one of the most important considerations. The reliability and objectivity of a piece of study are directly correlated to its level of validity. The use of scientific procedures to research in order to render the findings logical and defensible is the definition of validity (Menezes et al., 2020). When doing research, it is often beneficial to make use of original sources of material. Data that are valid for the full population being studied may be generated by gathering first-hand knowledge from a sample that is intended to be representative of the group being studied.

The assurance that the study is accurate enough to be relied on is what is meant by the term "reliability." For instance, if a business ethics assignment research study finds that eating junk food does not raise one's chance of developing cancer or heart disease, then this would be a cause for concern. This conclusion ought to have to be reached from a sample whose size, sampling method, and variability are not open to debate (Strelnytskyiet al., 2019). Utilizing primary sources results in increased reliability. When doing research that is similar to the one described above, a researcher will get extremely dependable findings by using experimental methods and questionnaires. If, on the other hand, he depends on the material that is accessible in books and on the internet, he will get knowledge that does not accurately portray the facts.

The real nature of the study is what determines authenticity. If the researcher brings in personal biases or utilises material that is deceptive, then the authenticity of the findings might be called into question (Fatma and Khan, 2020). Primary sources are more reliable than secondary ones since the information they provide has not been altered in any significant way. If the primary source lies about some facts or omits information for personal motives, the credibility of the information they provide may be called into question. There are strategies that may be used in order to guarantee the delivery of factually accurate data from the source.

Research incorporating social media is not an exception to the rule that all social research should adhere to a set of guiding ethical norms and hence are credible. The study of social media presents several novel and interesting dilemmas from an ethical standpoint, and a growing corpus of research is attempting to find solutions to these problems (Luijkenet al.,2022). However, given that this is a rapidly developing and intricate field of study, this is meant to serve as valuable information; however, it should not be used in lieu of sound professional judgement or advice from appropriate peers, such as ethical sponsors in each Department. It is strongly suggested that every study project including social media should undergo a comprehensive ethical evaluation before it is carried out.

business ethics assignment Trustworthiness
It is required that participants in any research project that involves the gathering of primary data be sought for their permission before they may take part (Schwingshackl, et al., 2020) Any business ethics assignment secondary analysis should be carried out within the parameters outlined in the first permission. The conduct of covert research is required to go through both an independent ethical assessment and the seeking of legal counsel. At every point in the research process, it is imperative that the participants of the study as well as the researchers themselves have their bodily, social, and mental health safeguarded. This included doing research in a way that was as unobtrusive as possible and respecting the confidentiality of the participants. Any proposal for study should contain an impartial analysis of the possible negative effects on individuals as well as on society (Peels and Bouter, 2021). Throughout the entire course of the study project, every effort should be taken to keep the identities of the participants confidential. Any and all personally identifiable information need to be maintained and stored in a secure environment.

Consumer impressions should not be under the impact of the brand equity of popular websites, according to research like that which was conducted by Ali et al., (2020) and other studies that investigate various characteristics of popular websites. When generalising such business ethics assignment results in relation to other websites, they advise exercising extreme care. Kapoor et al. (2017) found that a similar issue arises when using publically accessible data: the results are solely applicable to the specific social media site that was analysed, severely restricting the findings' applicability outside that site. Similar issues arise when using freely accessible information. Researchers in other studies have recognised the shortcomings of focusing on a single social media platform and have suggested that future studies use a cross-platform approach (Aguinis, et al., 2019). This is due to the fact that focusing just on one social media platform will result in a reduction in the usefulness of the data collected.

The business ethics assignment investigation of migration-related events may benefit from the inclusion of big data since these data provide a comprehensive, reasonably cost-effective, and fast supplement to other data sources. Such novel data sources, which may include social media platforms, may provide fresh viewpoints to our understanding of migration and help improve humanitarian responses to migration as well as migration management. However, "technology is not always democratic," and addressing the human rights repercussions of technology is particularly important in emergency and migration situations. In situations when informed consent cannot be upheld, the power imbalance between researchers and study participants, as well as between governments and individuals on the move, may have devastating effects. This is especially true when analysing data from social media platforms.

We see this report acting as a road map to teach and educate both the scientific community and the social media community. Certainly, we are seeing the introduction of such materials and instruments enabling more widespread uses of digital technology, but there is still potential for development. The community of public health researchers should have the chance to collaborate with other stakeholders thanks to these business ethics assignment tools, rather than remaining in an echo chamber with other academics who share their worldview.

Aguinis, H., Hill, N.S. and Bailey, J.R. (2019). Best Practices in Data Collection and Preparation: Recommendations for Reviewers, Editors, and Authors. Organizational Research Methods, business ethics assignment [online] p.109442811983648.
Available at: [Accessed 21 Sep. 2022].
Ali, F., Ciftci, O., Nanu, L., Cobanoglu, C. and Ryu, K. (2020). Response Rates In Hospitality Research: An Overview of Current Practice and Suggestions For Future Research. Cornell Hospitality Quarterly, [online] p.193896552094309. Available at: [Accessed 21 Sep. 2022].
Cates, M.M. and Cates, J.M.M. (2019). Surgical resection margin classifications for high-grade pleomorphic soft tissue sarcomas of the extremity or trunk: definitions of adequate resection margins and recommendations for sampling margins from primary resection specimens. Modern Pathology, [online] business ethics assignment 32(10), pp.1421–1433. Available at: [Accessed 22 Sep. 2022].
de Menezes, M.C., de Matos, V.P., de Pina, M. de F., de Lima Costa, B.V., Mendes, L.L., Pessoa, M.C., de Souza-Junior, P.R.B., de Lima Friche, A.A., Caiaffa, W.T. and de Oliveira Cardoso, L. (2020). Web Data Mining: Validity of Data from Google Earth for Food Retail Evaluation. Journal of Urban Health, [online] business ethics assignment 98(2), pp.285–295. Available at: [Accessed 22 Sep. 2022].
Dufour, I.F. and Richard, M.-C. (2019). Theorizing from secondary qualitative data: A comparison of two data analysis methods. Cogent Education, [online] 6(1). doi:10.1080/2331186x.2019.1690265.
Fatma, M. and Khan, I. (2020). An investigation of consumer evaluation of authenticity of their company’s CSR engagement. Total Quality Management & Business Excellence, [online] pp.1–18. Available at: [Accessed 22 Sep. 2022].
Kapoor, K.K., Tamilmani, K., Rana, N.P., Patil, P., Dwivedi, Y.K. and Nerur, S. (2017). Advances in Social Media Research: Past, Present and Future. Information Systems Frontiers, [online] business ethics assignment 20(3), pp.531–558. Available at: [Accessed 21 Sep. 2022].
Lester, J.N., Cho, Y. and Lochmiller, C.R. (2020). Learning to Do Qualitative Data Analysis: A Starting Point. Human Resource Development Review, [online] 19(1), pp.94–106. Available at: [Accessed 22 Sep. 2022].
Luijken, K., Dekkers, O.M., Rosendaal, F.R. and Groenwold, R.H.H. (2022). Exploratory analyses in aetiologic research and considerations for assessment of credibility: mini-review of literature. BMJ, [online] business ethics assignment 377, p.e070113. Available at: [Accessed 22 Sep. 2022].
Mazhar, S.A., Anjum, R., Anwar, A.I. and Khan, A.A. (2021). Methods of Data Collection: A Fundamental Tool of Research. Journal of Integrated Community Health (ISSN 2319-9113), [online] 10(1), pp.6–10. Available at: [Accessed 22 Sep. 2022].
Peels, R. and Bouter, L. (2021). Replication and trustworthiness. Accountability in Research, [online] pp.1–11. Available at: [Accessed 22 Sep. 2022].
Schwingshackl, L., Schünemann, H.J. and Meerpohl, J.J. (2020). Improving the trustworthiness of findings from nutrition evidence syntheses: assessing risk of bias and rating the certainty of evidence. European Journal of Nutrition. business ethics assignment [online] Available at: [Accessed 22 Sep. 2022].
Smith, J.D. and Hasan, M. (2019). Quantitative approaches for the evaluation of implementation research studies. Psychiatry Research, [online] 283, p.112521. Available at: [Accessed 22 Sep. 2022].
Strelnytskyi, O., Svyd, I., Obod, I., Maltsev, O., Voloshchuk, O. and Zavolodko, G. (2019). Assessment Reliability of Data in the Identification Friend or Foe Systems. 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO). business ethics assignment [online] Available at: [Accessed 22 Sep. 2022].
Terkenli, T.S., Gkoltsiou, A. and Kavroudakis, D. (2021). The Interplay of Objectivity and Subjectivity in Landscape Character Assessment: Qualitative and Quantitative Approaches and Challenges. Land, [online] 10(1), p.53. Available at: [Accessed 22 Sep. 2022].
Xia, H., Liu, Z., Maria, E., Liu, X. and Lin, C. (2022). Study on City Digital Twin Technologies for Sustainable Smart City Design: a Review and Bibliometric Analysis of Geographic Information System and Building Information Modeling Integration. Sustainable Cities and Society, [online] p.104009. Available at: [Accessed 22 Sep. 2022].
Choi, J., Yoon, J., Chung, J., Coh, B.-Y. and Lee, J.-M. (2020). Social media analytics and business intelligence research: A systematic review. Information Processing & Management, [online] 57(6), p.102279. Available at: [Accessed 22 Sep. 2022].
Favaretto, M., Shaw, D., De Clercq, E., Joda, T. and Elger, B.S. (2020). Big Data and Digitalization in Dentistry: A Systematic Review of the Ethical Issues. International Journal of Environmental Research and Public Health, [online] business ethics assignment 17(7), p.2495. Available at: [Accessed 22 Sep. 2022]. Hennell, K., Limmer, M. and Piacentini, M. (2019). Ethical Dilemmas Using Social Media in Qualitative Social Research: A Case Study of Online Participant Observation. Sociological Research Online, [online] 25(3), p.136078041988893. Available at:
Lee, K.S. and Wei, H. (2022). Design Factors of Ethics and Responsibility in Social Media: A Systematic Review of Literature and Expert Review of Guiding Principles. Journal of Media Ethics, [online] pp.1–22. Available at: [Accessed 4 Aug. 2022].
Maher, N.A., Senders, J.T., Hulsbergen, A.F.C., Lamba, N., Parker, M., Onnela, J.-P., Bredenoord, A.L., Smith, T.R. and Broekman, M.L.D. (2019). Passive data collection and use in healthcare: A systematic review of ethical issues. International Journal of Medical Informatics, [online] business ethics assignment 129, pp.242–247. Available at:
Matamoros-Fernández, A. and Farkas, J. (2021). Racism, Hate Speech, and Social Media: A Systematic Review and Critique. Television & New Media, [online] 22(2), pp.205–224. Available at:
Teles da Mota, V. and Pickering, C. (2020). Using social media to assess nature-based tourism: Current research and future trends. Journal of Outdoor Recreation and Tourism, [online] 30, p.100295. Available at: [Accessed 22 Sep. 2022]. business ethics assignment


Related Samples

Question Bank

Looking for Your Assignment?

Search Assignment
Plagiarism free Assignment









9/1 Pacific Highway, North Sydney, NSW, 2060
1 Vista Montana, San Jose, CA, 95134