Epidemiology Of HIV Free Sample

Description of HIV

HIV is a communicable viral disease first reported in 1986 and has been a menace. The statistics indicate that more than 38 million people are presently infected with the disease (Johnson, 2023). This number can, however, be higher, considering some people might be living with the virus unknowingly. HIV is caused by a virus that targets the human defence mechanism against diseases, leaving the body vulnerable to infections and attacks from other harmful pathogens. The virus has a wide range of symptoms that might vary from person to person, the most common being the loss of body weight, constant fever and headaches, especially during the end of the window stage. Other symptoms include sore throat, fatigue and swollen lymph. These symptoms are, however, not unique to HIV, and a test should be done to ascertain whether someone is affected or not.

The modes of transmission are mainly tied to the exchange of body fluids which include blood, semen during unprotected sex and breast milk (Uwishema et al., 2022). The complications associated with HIV include diseases such as malaria and tuberculosis that might attack the infected person due to low immunity. During its full blow state, HIV leads to AIDS, which results in a low body defence mechanism and hence is vulnerable to attack by communicable diseases. HIV has no known treatment, but victims can use ARVs to manage the symptoms and halt the progression of HIV into AIDS (Gandhi et al., 2023). The disease is usually associated with low and middle-income groups such as the American-black and Hispanic populations. The virus is also common among countries with high poverty rates, such as those in Africa, with South Africa taking the lead in the percentage of people infected. With the emergence of various forms of ARVs, the HIV mortality rate has reduced significantly over the years.

HIV as a reportable disease

HIV is a life-threatening disease, primarily when not properly managed; it is, therefore, a highly rated reportable disease (Riley et al., 2020). Report and documentation of new HIV by various groups aims at reducing new cases and help manage the people already infected in order to pick out any new developments, such as the rate of spread, and issue the relevant resources to manage the spread and offer professional assistance to those infected and affected by the disease. The reporting criteria include testing using either antibody tests or nucleic acid tests and reporting new cases to the local health centres for documentation and tracking of the patient. This data is essential as it helps the government to plan for and administer the appropriate treatment plan for the documented patients.

Social Determinants of Health

Education is one major social determinant of health when talking about HIV. A poorly educated community will probably have more stigmatizing behaviours, which increase discrimination making people shy away from seeking testing and treatment services. A lack of knowledge of prevention mechanisms also increases the rate of new infections (Grand Canyon University, 2018). Lack of peace and security reduces accessibility to medical care facilities and protective equipment while at the same time increasing poverty levels. Areas with high poverty levels usually have a high drug and substance use rate, which usually leads to risky sexual behaviours. Behaviours such as taking part in unprotected sexual acts, especially with multiple partners, are a leading cause of new HIV cases in such areas.

Epidemiologic triangle of HIV and special consideration.

The epidemiologic triangle describes the three aspects of the disease, which include the host, environment and agent of transmission. In the case of HIV, the host is the behaviours that promote the spread of the virus, such as careless sex practices and sharing of sharp objects. The environment includes factors such as poverty, education and political stability of a place, while the transmission agent is the HIV type one virus. An individual who encounters the agent in a conducive environment gets infected (COVID, 2020). the Relevant groups and agencies should focus more on targeting specific groups of the population, such as the gay, black and Latino communities in the United States. People who use drugs and substances should also be targets of sensitization and mass testing to contain the spread and manage treatment.

Importance of demographic data

Different groups of people across different age groups, poverty levels, ethnicity and social classes have experience with HIV. It is also clear that these different groups are not equally affected by the virus. Demographic data helps identify the areas with the highest prevalence, directing the health provider’s attention to the groups with more need. An example is the concentration of awareness campaigns for people with more risky sexual behaviours, such as sex workers and drug users, who contribute to many of those infected (Chou et al., 2020). Also, understanding these different groups can help relevant authorities develop culturally appropriate ways of offering treatment and awareness campaigns.

Community health nurses’ roles

For primary prevention, community health nurses should collaborate with community leaders to advise and guide members on various prevention and management mechanisms. By educating trusted and prominent leaders within a particular group, the group members can benefit from the information as they easily interact with those leaders. This trust can come in handy in tackling issues such as stigmatization in accepting the nurses in their community. Secondary prevention of HIV involves developing workshops within these communities to offer mass testing and counselling services to prevent further transmission (Yusuf & Agwu, 2021). Tertiary prevention, on the other hand, involves offering treatment plans to those found to be infected by the virus; the nurses can come up with meal plans, doses and behavioural suggestions to help those infected to help them live wholesome lives even with the virus. The data recovered from interaction with the community is then presented to organizations such as CDC to help with research and planning.

The Christian worldview can be integrated through equal care of patients concerning their dignity and humanity and eliminating stigma and discrimination to ensure that patients feel cared for even after being diagnosed with the virus. The Christian teaching of love and care prompts nurses to take their nursing responsibilities seriously, as the activities involve caring for the well-being of an entire community (Shelly et al.,2021).

National agency addressing the HIV situation.

One common agency is the National Institute of Health which is tasked with researching methods of treating, preventing and managing the virus. This institute provides different kinds of support to groups that carry out research and programs to tackle the HIV menace. Another agency is the United States Center for Disease Control which also carries out research and assists other agencies that study the virus to identify improvements in how to treat and manage the virus. The CDC also partners with other local and international organizations, such as the World Health Organization, in sharing medical research and providing guidance to each other on new techniques for treatment and handling HIV (Grand Canyon University, 2018).

Global Implication of HIV

HIV has had several implications, which are primarily economic. Many villages in Africa, especially in the Central African region, have lost family heads who were the primary breadwinners, leaving those families prone to poverty and malnutrition. Caring for HIV patients is also expensive and tiresome for the family members, draining their resources and making them prone to poverty. An example of a country that has dealt with the effects of HIV is Thailand, which has focused on preventing new cases and massive testing to identify new cases (Muccini et al., 2019). By advocating for the use of condoms coupled with mass education, the number of new infections has significantly reduced, reducing the economic impacts that emerge from illness and death. Even though HIV is not endemic in most areas, several countries have declared the virus a national crisis and therefore come up with various programs and funding that help deal with it.

References

Chou, L. W., Chang, K. M., & Puspitasari, I. (2020). Drug abuse research trend investigation with text mining. Computational and Mathematical Methods in Medicine2020, 1-8.

COVID, E. O. (2020). OCCUPATIONAL MEDICINE FORUM.

Gandhi, R. T., Bedimo, R., Hoy, J. F., Landovitz, R. J., Smith, D. M., Eaton, E. F., … & Saag, M. S. (2023). Antiretroviral drugs for treating and preventing HIV infection in adults: 2022 Recommendations of the International Antiviral Society–USA Panel. JAMA329(1), 63-84.

Grand Canyon University (Ed). (2018). _Community & public health: The future of health care_. Retrieved from https://lc.gcumedia.com/nrs427vn/community-and-public-health-the-future-of-health-care/v1.1/

Johnson, A. M. (2023). Pandemic HIV and its legacy for medicine and global health. Clinical Medicine.

Muccini, C., Crowell, T. A., Kroon, E., Sacdalan, C., Ramautarsing, R., Seekaew, P., … & Phanuphak, N. (2019). Leveraging early HIV diagnosis and treatment in Thailand to conduct HIV cure research. AIDS research and therapy16, 1–8.

Riley, L. T., Johnson, K. L., Stewart, J., & Byers, P. (2020). Syphilis and HIV Co-infection in Mississippi: Implications for control and prevention. AIDS and Behaviorpp. 24, 1064–1068.

Shelly, J. A., Miller, A. B., & Fenstermacher, K. H. (2021). Called to care: A Christian vision for nursing. InterVarsity Press.

Uwishema, O., Ayoub, G., Badri, R., Onyeaka, H., Berjaoui, C., Karabulut, E., … & Chalhoub, E. (2022). Neurological disorders in HIV: hope despite challenges. Immunity, inflammation and disease10(3), e591.

Yusuf, H., & Agwu, A. (2021). Adolescents and young adults with early acquired HIV infection in the united states: unique challenges in treatment and secondary prevention. Expert review of anti-infective therapy19(4), 457-471.

Factors Contributing To Organizations’ Successful Digital Transformation Sample Assignment

Problem Statement

In the current business environment, “digital transformation” is widely used to describe how digital technology is incorporated into every area of an organization’s activities (Schneider & Kokshagina, 2022). While adopting a digital transformation strategy can benefit businesses in various ways, including increased productivity, reduced costs, and better customer experiences, many businesses need help to successfully implement these initiatives (Schneider & Kokshagina, 2022). It is, therefore, essential to understand the elements contributing to the success of digital transformation projects. Failing to implement digital transformation initiatives successfully can result in considerable expenses and lost opportunities for businesses (Florek-Paszkowska et al., 2021). In contrast to (Florek-Paszkowska et al., 2021) finding that 70% of digital transformation programs fall short of their objectives, (Osmundsen et al., 2021)discovered that just 13% of businesses succeed in their digital transformation goals. (Osmundsen, et al., 2021)Suggests that these figures highlight how challenging it is to implement digital transformation efforts across the board successfully and the necessity of identifying the success determinants.

Another illustration of the challenges of digital transformation is the potential for digital technology to significantly improve patient outcomes and lower costs in the healthcare sector (Holotiuk & Beimborn, 2020). According to (Alauddin et al., 2021), adopting digital technology within the healthcare sector needs to be more active and usually successful (Alauddin et al., 2021). A survey by the American Hospital Association found that healthcare institutions needed help implementing digital technology, citing challenges such as a lack of leadership, insufficient funding, and opposition to change (Alauddin et al., 2021). This underlines the significance of pinpointing the elements that lead to effective digital transformation in healthcare and other sectors (Alauddin et al., 2021).

Purpose Statement

A case study research design will be applied to this study. The research aims to understand the elements that support healthcare organizations’ effect on digital transformation. Healthcare organizations have recently prioritized digital transformation to sustain their competitiveness in the digital era (Massaro, 2021). Despite substantial technological expenditures, many firms need help effectively implementing digital transformation efforts (Massaro, 2021). A case study approach will be used to explore people’s experiences and understanding of their views on the digital transition (Krasuska et al., 2021). The mentioned research design will assist in understanding the elements that lead to effective digital transformation from the viewpoint of persons who have gone through the process (Krasuska et al., 2021).

The results of this research might have a significant impact on businesses undertaking digital transformation projects. The research will demonstrate how firms can successfully plan and carry out digital transformation efforts by identifying the key aspects that lead to successful digital transformation. Consequently, there may be an improvement in customer satisfaction, corporate performance, and competitive advantage. By offering a thorough understanding of the elements that contribute to effective digital transformation inside businesses, this study seeks to add to the body of knowledge already available on the topic (Holotiuk & Beimborn, 2020).

Research Questions

The qualitative research plan entitled “Factors Contributing to Successful Digital Transformation in Organizations” includes the two research questions listed below.

  1. How do healthcare organizations/industries define and approach digital transformation?
  2. What are their goals concerning implementing digital transformation initiatives in the healthcare industry?
  3. What are the most crucial success factors for implementing digital transformation initiatives in organizations?
  4. Methodology and Design

Case study design, as mentioned above, will be applied in this study. It is mainly used to deeply examine a specific event or phenomenon, frequently in a particular setting (Creswell & Poth, 2018). Data is typically collected through interviews, observations, and other methods and analyzed through pattern matching and explanation building (Creswell & Poth, 2018). The study will investigate the experiences of organizations implementing digital transformation initiatives. Case study design, in most cases, concentrates on the study of an individual’s subjective experiences and the meanings they ascribe to those experiences (Zhu et al., 2014). It involves bracketing or setting aside preconceived notions or assumptions about the studied case study to completely comprehend the participants’ experiences.

This study will conduct semi-structured interviews with participants who have participated in digital transformation initiatives (Zhu et al., 2014). The semi-structured interviews will elicit rich and detailed descriptions of the participants’ experiences, including their thoughts, emotions, and perceptions regarding the digital transformation process. The interviews will be directive, allowing participants to freely express their experiences and perspectives without the influence of the interviewer’s biases or presumptions (DeJonckheere & Vaughn, 2019). It is important to note that phenomenology also entails applying data reduction techniques to recognize patterns and themes that emerge from the data. In this study, the data reduction procedure will entail identifying significant participant statements and clustering them according to their meanings. These clusters will then be analyzed to determine the data’s most prominent themes and patterns (DeJonckheere & Vaughn, 2019).

For several reasons, this case design makes sense in relation to the research topic. First, digital transformation is an intricate and organizational process, making case studies a natural fit to investigate people’s firsthand experiences and gain insight into their viewpoints. According to (Crowe et al., 2011) case study is an adaptable research strategy that permits alterations to the study considering new information. This adaptability is crucial for investigating dynamic and complicated processes like the digital transition (Crowe et al., 2011). Furthermore (Crowe et al., 2011) say that case study design provides an in-depth and all-encompassing comprehension of the topic under investigation. This research may light the underlying aspects that lead to effective digital transformation by investigating the subjective experiences and viewpoints of persons who have completed digital transformation projects (Alauddin et al., 2021). In addition, the research can collect rich and thorough data that represent the participants’ lived experiences and opinions via the use of a non-directive technique of interviewing (Crowe et al., 2011). Finally, this research design is suitable for investigating what makes for a successful digital transition regarding business matters (Crowe et al., 2011). By focusing on the internal experiences and views of people who have gone through digital transformation projects, the design facilitates a rich and comprehensive comprehension of the topic under investigation (Crowe et al., 2011). It is well-suited to examine complex and dynamic processes like bullying and even discrimination due to the adaptability of the design, which enables researchers to modify the study as new insights arise (Massaro, 2021).

Sampling and Population

Sampling and participant selection play crucial roles in qualitative research studies. This section describes how research participants will be selected and how samples will be drawn for the proposed study of the factors that contribute to successful digital transformation.

Population

Most of the projects healthcare organizations that have undertaken digital transformation projects will make up the population of this research (Burton-Jones et al., 2020). Healthcare organizations that have significantly altered their business models, procedures, or technology as part of their digital transformation projects are included in the population of interest (Burton-Jones et al., 2020).

Sampling Method

The study’s participants will be chosen using a purposeful sampling method. Using the non-probability selection strategy known as “purposeful sampling,” researchers might choose participants based on their background knowledge, professional experience, or other distinctive qualities connected to the topic (Cameron & Green, 2015). Participants in this research will be chosen based on their knowledge of and experience with organizational digital transformation projects (Gummesson, 2006). The moment of data saturation will define the sample size. The moment when more data is added without producing new themes or insights is known as data saturation (Gummesson, 2006). Reviewing the information gathered from the interviews and document analysis can help pinpoint the point of saturation (Gummesson, 2006).

Participant Selection

The following conditions will be used while selecting study participants:

  1. have launched an initiative to alter their business digitally
  2. have experience bringing digital transformation initiatives into action
  3. comprehend how the organization’s digital transformation efforts have played out

People will be recruited to participate in the study using several channels, such as trade shows, online professional networks, and word of mouth. Participants will be contacted through phone or electronic mail and asked to participate in the research. In the email or phone call, one gets an offer to participate in a semi-structured interview and a brief explanation of the study.

Participant Characteristics

Participants in this research will likely be CEOs, managers, or other important stakeholders in firms that are undergoing digital transformation. The gathering’s attendees will represent various professions and company sizes. A thorough knowledge of the aspects that contribute to effective digital transformation will need input from a wide range of individuals, each likely to bring their unique viewpoint and set of experiences to the table (Gummesson, 2006).

Data Collection

Semi-structured interviews and document analysis will be used for data collection. In-depth information about people’s experiences and viewpoints on a topic may be provided via semi-structured interviews (Holotiuk & Beimborn, 2020). Organizations implementing digital transformation projects will be interviewed for this research using semi-structured questions. Depending on the preferences and availability of the participants, the interviews will be held in person, over the phone, or by video conferencing (Burton-Jones et al., 2020). The firms will also analyze documents to gather information on their digital transformation efforts. Implementation paperwork, strategy papers, yearly reports, and other publications highlighting the digital transformation process fall into this category. By using several sources of information, we better understand the aspects that contribute to a company’s successful digital transition (Gummesson, 2006).

Ethical Considerations

Informed permission, secrecy, and participant autonomy and privacy shall all be upheld to guarantee the ethical protection of human beings. All participants will provide their informed permission before any interviews are conducted, and they will be allowed to leave the research at any time. By utilizing fictitious names in the final report, we can ensure that our participants’ privacy is protected and that our data is safe from prying eyes. (Fink, 2019)

In conclusion, this study’s sample and participant selection technique uses purposive sampling to

pick participants based on their expertise and experience with digital transformation projects inside their respective firms. Participants are likely to include managers, executives, and other important players in the digital transformation process inside their respective firms. The sample size is defined by the point at which data is saturated. It is important to note that the study will employ semi-structured interviews and document analysis while abiding by ethical standards. This will help gather in-depth information on people’s experiences and perspectives on digital transformation (Fink, 2019).

The study will use purposeful sampling to find individuals with specialized knowledge of digital transformation initiatives. It usually involves learning from others that have already undergone it. Purposeful sampling is significant in researching the elements that lead to effective digital transformation. Looking at it from this perspective, we can draw more reliable conclusions if data from interviews, document analysis, and both sources are combined. Overall, the sample and participant selection process will be done with much care, and it will offer insightful information about the elements that support an efficient digital transformation of firms (Fink, 2019).

Data Collection

Under this section, we detail the procedures that will be utilized to gather information for this investigation on the causes of effective digital transformation in businesses.

Semi-Structured Interviews

Data for this research will be gathered via semi-structured interviews. In-depth information about people’s experiences and viewpoints on a topic may be gathered via semi-structured interviews. Organizations implementing digital transformation projects will be interviewed for this research using semi-structured questions (Fink, 2019). Depending on the preferences and availability of the participants, the interviews will be held in person, over the phone, or by video conferencing. Participants will be able to speak freely about their experiences and ideas since the interviews will be non-directive. The interviews aim to get participants to talk in-depth about their emotions, opinions, and impressions about the digital transformation process (Chaffey et al., 2019). The study questions will serve as the basis for the interview guide, mainly consisting of open-ended questions designed to elicit detailed participant responses. The questions will be crafted to promote introspection and the provision of concrete examples from participants’ experiences with digital transformation efforts (Fink, 2019).

Document Analysis

The firms will also employ document analysis to gather information on their digital transformation efforts. Implementation paperwork, strategy papers, yearly reports, and other publications highlighting the digital transformation process might fall into this category. Using several sources of information, we may better understand the aspects contributing to a company’s successful digital transition. The examination of documents will include gathering and studying a wide range of files pertaining to the company’s digital transformation efforts. Findings will be supported by data from documents chosen for their usefulness in answering research questions. This method will contribute to the body of information supporting the study’s conclusions and round out our understanding of how digital transformation occurs in businesses (Fink, 2019).

Data Recording

An audio recorder will capture the information, which will then be transcribed into text for analysis. Participants will be asked to provide their informed consent before any interviews are done, and those interviews will be videotaped for the same reason. A professional transcribing service will make an exact copy of the material and check it for correctness before returning it to you. Document analysis results will be stored in a database or spreadsheet. The information will be filed and labelled to facilitate retrieval and analysis (Fink, 2019).

Data Analysis

Interviews will need to be transcribed, data will need to be coded, and themes and patterns will need to be identified. A deductive strategy (using themes established by the research questions) and an inductive strategy (using themes discovered in the data) will be used throughout the coding process. The coding process will be iterative, with codes being altered and improved considering new information. Software packages like NVivo will assist in managing and organizing the data gathered for analysis. NVivo is used extensively in qualitative research for data management and analysis. The software facilitates straightforward data coding and categorization, which facilitates the discovery of underlying themes and patterns (Bryman, 2016).

Trustworthiness

Credibility, transferability, reliability, and confirmability will be addressed via member checking, peer debriefing, and an audit trail of the data analysis procedure. By verifying with the members, you can be sure that your facts and conclusions are correct. To verify the reliability of the results, researchers often conduct peer debriefings with other experts in the field. Keeping track of all choices taken throughout the data analysis process, including coding and analysis, is essential to maintain reliability and confirmability. To combat issues with credibility, the research team will build relationships with the participants to foster an atmosphere where they feel comfortable opening up about their experiences. The study team will triangulate the data they get from different methods (interviews and document analysis) to provide more reliable results (Bryman, 2016). Researchers will fully describe the research procedures and participant attributes so that readers may judge the study’s generalizability to their situation. If this is done, the results will be more applicable to other companies that have implemented digital transformation strategies. To address trustworthiness and confirmability, the research team will keep an audit trail of the data analysis process to record and explain all analysis-related choices. To further confirm the reliability of the results, the study team will also solicit input from other researchers and industry professionals (Bryman, 2016).

Ethical Considerations

Throughout the study, we will use sing made-up names in the final report, shielding our participants’ identities and keeping our data private (Bryman, 2016).

In conclusion, this investigation of the factors that contribute to successful digital transformation in businesses will use semi-structured interviews and document analysis to collect data. A voice recorder will be used to record the interviews; subsequently, the transcripts will be analyzed. Transcribing interviews, coding data, and extracting themes and patterns will be necessary. To guarantee credibility, transferability, dependability, and confirmability, team members will check each other’s work, engage in peer debriefings, and preserve an audit record of the data analysis process. Ethical principles must be followed to protect people. Using these data collection methods, businesses may understand the factors that contribute to a successful digital transition.

Data Analysis

To analyze the information gathered for this research on the elements contributing to effective digital transformation in businesses, we must transcribe the interviews, code the data, sort the information, and synthesize the results. Transcribing interviews word-for-word and organizing and labelling data for later use is what happens during data transcription (Lee, 2020). Deductive and inductive coding methods will next be used for the data to extract meaningful themes, patterns, and associations. The codes will be updated and altered as more information is gathered and examined (Lee, 2020). After the data has been coded, it will be grouped into more general groups according to their shared characteristics. The classifications will be derived from the study questions and modified as necessary throughout data analysis. Thematic and content analyses will be used to dissect the data collected for this investigation. The content analysis looks at what’s in the gathered documents, whereas the thematic analysis looks for overarching themes in the data. Synthesizing the results of the analysis will be the last stage. Data synthesis aims to give an all-encompassing picture of the aspects that contribute to effective digital transformation in businesses by combining the results from the interviews and document analysis. The research topics will determine the narrative structure of the synthesis. Member checking, peer debriefing, and keeping an audit record of the data analysis process will be used to assure the results’ legitimacy, transferability, dependability, and confirmability. As a result, this research’s data analysis approach will illuminate the many aspects that contribute to a company’s successful digital transformation. The safety of the research participants will be prioritized, and the results will be presented in a narrative style.

References

Alauddin, M. S., Baharuddin, A. S., & Mohd Ghazali, M. I. (2021, January). The modern and digital transformation of oral health care: A mini-review. In Healthcare (Vol. 9, No. 2, p. 118). MDPI.

Bryman, A. (2016). Social Research Methods (5th ed.). London Oxford University Press. – References – Scientific Research Publishing. (2016). Scirp.org. https://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=1948986

Burton-Jones, A., Akhlaghpour, S., Ayre, S., Barde, P., Staib, A., & Sullivan, C. (2020). Changing the conversation on evaluating digital transformation in healthcare: Insights from an institutional analysis. Information and Organization, 30(1), 100255. https://doi.org/10.1016/j.infoandorg.2019.100255

Cameron, E., & Green, M. (2015). Making Sense of Change Management a Complete Guide to the Models, Tools, and Techniques of Org Organizational Change (4th ed.). London Kogan Page Publishers. – References – Scientific Research Publishing. (2015). Scirp.org. https://scirp.org/reference/referencespapers.aspx?referenceid=2872608

Chaffey, D., Hemphill, T. and Edmundson-Bird, D. (2019). Digital Business and e-Commerce Management. Pearson UK, New York, pp. 5–15. – References – Scientific Research Publishing. (2019). Scirp.org. https://www.scirp.org/Svtj3fa45qm1ean45vvffcz55/reference/referencespapers.aspx?referenceid=2907144

Conducting Research Literature Reviews. (2023, April 8). Sage Publications Inc. https://us.sagepub.com/en-us/nam/conducting-research-literature-reviews/book259191

DeJonckheere, M., & Vaughn, L. M. (2019). Semi-structured interviewing in primary care research: a balance of relationship and rigour. Family Medicine and Community Health7(2), e000057. https://doi.org/10.1136/fmch-2018-000057

Denzin, N. K., & Lincoln, Y. S. (2011). The SAGE Handbook of Qualitative Research. Thousand Oaks, CA Sage. – References – Scientific Research Publishing. (2016). Scirp.org. https://www.scirp.org/(S(i43dyn45teexjx455qlt3d2q))/reference/ReferencesPapers.aspx?ReferenceID=1854377

Fink, A. (2019). Conducting Research Literature Reviews from the Internet to Paper. Thousand Oaks, CA Sage Publications. – References – Scientific Research Publishing. (2019). Scirp.org. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/references

Florek-Paszkowska, A., Ujwary-Gil, A., & Godlewska-Dzioboń, B. (2021). Business innovation and critical success factors in digital transformation and turbulent times.

Gummesson, E. (2006). Qualitative management research: addressing complexity, context, and persona. Management Decision44(2), 167–179. https://doi.org/10.1108/00251740610650175

Multivariate data analysis | WorldCat.org. (2019). Worldcat.org. https://www.worldcat.org/title/Multivariate-data-analysis/oclc/1082318713

Friedrich Holotiuk, & Beimborn, D. (2017, February 15). Critical Success Factors of Digital Business Strategy. Research Gate; unknown. https://www.researchgate.net/publication/320082983_Critical_Success_Factors_of_Digital_Business_Strategy

Hsu, C.-C., & Sandford, B. (2017). The Delphi Technique: Making Sense of Consensus. Practical Assessment, Research, and Evaluation12, 10. https://doi.org/10.7275/pdz9-th90

Massaro, M. (2021). Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments. Technovation, 102386.

Krasuska, M., Williams, R., Sheikh, A., Franklin, B., Hinder, S., Nguyen, H., Lane, W., Mozaffar, H., Mason, K., Eason, S., Potts, H., & Cresswell, K. (2021). Driving digital health transformation in hospitals: a formative qualitative evaluation of the English Global Digital Exemplar program. BMJ Health & Care Informatics, 28(1), e100429. https://doi.org/10.1136/bmjhci-2021-100429

Lee, H. (2020). Green Information Systems Research: A Decade in Review and Future Agenda. Brunel.ac.uk. https://doi.org/1598-3498

Saunders, Research Methods for Business Students, 8/E. (2020). Pearson.com. https://www.pearson.com/nl/en_NL/higher-education/subject-catalogue/business-and-management/Research-methods-for-business-students-8e-saunders.html

Silverman, D. (2018). How was it for you? The Interview Society and the irresistible rise of the (poorly analyzed) interview – David Silverman, 2017. Qualitative Research. https://journals.sagepub.com/doi/abs/10.1177/1468794116668231

The Art of Case Study Research. (2023, March 2). Sage Publications Inc. https://us.sagepub.com/en-us/nam/the-art-of-case-study-research/book4954

Yin, R. K. (2018). Case Study Research and Applications Design and Methods (6th ed.). Thousand Oaks, CA Sage. – References – Scientific Research Publishing. (2018). Scirp.org. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55.))/reference/references papers. aspx?referenceid=2914980

Osmundsen, K., Iden, J., & Bygstad, B. (2018). Digital transformation: Drivers, success factors, and implications.

Schneider, S., & Kokshagina, O. (2021). Digital transformation: What we have learned (thus far) and what is next. Creativity and innovation management, 30(2), 384-411.

Zhu, F., Chen, J., Wang, J., Yin, R., Li, X., & Jia, X. (2014). Qualitative and Quantitative Analysis of the Constituents in Danmu Preparations by UPLC-PDA-TOF-MS. Journal of Chromatographic Science, 52(8), 862–871. https://doi.org/10.1093/chromsci/bmt129

Chaffey, D., Edmundson-Bird, D., & Hemphill, T. (2019). Digital business and e-commerce management. Pearson UK.

Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard business review press, Language, 15(217), 24.

Denzin, N. K., & Lincoln, Y. S. (Eds.). (2011). The Sage Handbook of qualitative research. sage.

Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability, 13(3), 1530.

Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage publications.

Gummesson, E. (2006). Qualitative management research: addressing complexity, context and persona. Management Decision, 44(2), 167-179.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Cengage Learning. Hampshire, United Kingdom.

Hsu, C. C., & Sandford, B. A. (2007). The Delphi technique: making sense of consensus. Practical assessment, research, and evaluation, 12(1), 10.

Karim, S., & Qamruzzaman, M. D. (2020). Corporate culture, management commitment, and HRM effect on operation performance: The mediating role of just-in-time. Cogent Business & Management, 7(1), 1786316.

Kavanagh, M. H., & Ashkanasy, N. M. (2006). The impact of leadership and change management strategy on organizational culture and individual acceptance of change during a merger. British Journal of Management, 17(S1), S81-S103.

Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications.

Lee, H. (2020). Green Information Systems Research: A Decade in Review and Future Agenda.

Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students. Pearson education.

Silverman, D. (2017). How was it for you? The Interview Society and the irresistible rise of the (poorly analyzed) interview. Qualitative research, 17(2), 144-158.

Stake, R. E. (1995). The art of case study research. Sage.

Yin, R. K. (2018). Case study research and applications. Sage.

Understanding The Impact Of Conflict Resolution Strategies On Relationship Quality Sample Assignment

Why is it so important for partners to resolve conflicts in positive ways?

Conflict resolution might be challenging, primarily due to the need for proper communication between individuals. Partners should resolve their conflicts positively to maintain quality and healthy relationships. They should identify the most appropriate strategies for handling differences to ensure sanity and quality outcomes. Solving disputes positively is vital for partners since it strengthens their relationship (Lamanna et al., 2020). The move enables the parties to express themselves and reach a middle ground for the problem. Positive conflict resolution techniques allow partners to build trust since they freely share their feelings and opinions.

Consequently, the individuals achieve satisfaction and may be willing to solve other problems amicably. Partners should adopt positive strategies to solve conflicts to counter the risk of breakups. According to Lamanna et al. (2020), positive conflict resolution encourages respect, affirmation of each other’s worth, and support, reducing the risk of breakups. Couples should embrace positive conflict resolution strategies to maintain healthy relationships.

How may Gottman’s “Four Horsemen of the Apocalypse” be avoided? Give specific examples.

While many relationships may entail Gottman’s “Four Horsemen of the Apocalypse,” healthy relationships avoid them due to the adverse outcomes they are likely to cause during conflict resolution. The Four Horsemen of the Apocalypse include criticism, contempt, defensiveness, and stonewalling (Lamanna et al., 2020). Individuals can avoid criticism by approaching conflicts with a gentle start-up without complaining or blaming the other party. They should understand that conflicts exist and individuals have different thought processes and ideas. For instance, instead of “you” statements, one should use “I” to avoid blaming or invalidating the other party. Defensiveness involves making excuses and denying responsibility. To avoid defensiveness, individuals should take responsibility for their actions and try to focus on the problem rather than defending themselves. They should also recognize when their partner is trying to solve a problem and be willing to listen and work together to find a solution.

Individuals can avoid contempt by acknowledging the other party’s positive qualities. The move encourages gratitude and prevents belittling one’s partner’s actions and ideas. For example, one should describe their feeling by stating that they would appreciate it if the partner cleaned the house instead of shouting and rolling their eyes. Partners can avoid defensiveness by taking responsibility. For instance, one can accept responsibility for incomplete house chores instead of blaming their partner. Further, partners can avoid stonewalling by taking steps to soothe themselves physiologically. For example, one can excuse themselves from taking time off from the argument to calm down.

Discuss the importance of each of the ten guidelines for working through conflicts in positive ways.

The ten guidelines for positive conflict resolution are essential in maintaining and strengthening relationships between partners and families. First, expressing anger with kindness prevents an escalation of the conflict. Second, checking one’s interpretation of other people’s behavior helps avoid unnecessary hurt feelings (Lamanna et al., 2020). Third, using “I” statements helps avoid attacks since such utterances may encourage blame. Fourth, avoiding mixed messages is essential in preventing contradictions, which may promote conflicts. Fifth, choosing the time and place for conflicts carefully ensures that each party is ready and comfortable for the argument.

Sixth, being specific in addressing issues and being ready to compromise is vital in helping individuals reach agreements quickly. Seventh, willingness to change is essential in conflict resolution since it encourages individuals to identify their misdoings and adopt reliable behavior. Eighth, avoiding the need to be the winner helps individuals solve the problem amicably by avoiding the blame game. Ninth, willingness to forgive helps solve conflicts quickly since it encourages individuals to admit their misdoings and ask for forgiveness. Lastly, ending the argument is important in allowing the parties to re-examine the need for the conflict and achieve satisfaction.

How does a person’s family of origin and how conflicts were handled affect current relationships? Is it possible to develop new patterns?

One’s family of origin and conflict resolution strategies could significantly impact an individual’s current relationship and how they handle conflicts. The individual adopts the family’s behavior and conflict resolution techniques as they grow up, prompting them to apply similar strategies in adulthood. Some individuals may avoid conflict resolution since they learn that one does not need to deal with the problems and achieve an agreement. Lamanna et al. (2020) state that unresolved parental conflicts significantly affect children. The outcomes may be adverse since unresolved conflicts may escalate other relationship problems. Fortunately, individuals can alter the patterns by learning new conflict resolution strategies. Pathak et al. (2020) note that couples who seek help from a professional counselor have a better chance of improving their relationship and resolving conflicts more effectively. In this way, individuals can break the cycle of unresolved conflict in their family of origin.

References

Lamanna, M. A., Riedmann, A., & Stewart, S. D. (2020). Marriages, families, and relationships: Making choices in a diverse society. Cengage Learning.

Pathak, S., Bhat, A., & Kumar, S. (2020). Role of counseling in resolving marital conflicts. Journal of Indian Research, 8(2), 1–8.

error: Content is protected !!