Respond to 4 or more of your colleagues’ postings in one or more of the following ways: Address the content of each colleague’s analysis and evaluation of the topic and of the integration of the relev

Post an explanation of the relationship between quantitative business research results and positive social change. In your explanation, do the following:

  • Describe ways business leaders can benefit both financially and socially from quantitative data analyses.

  • Explain how you can directly apply perspectives on promoting positive social change to professional practice pertaining to your DBA Doctoral Study topic, providing examples from your DBA Doctoral Study prospectus.

Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and at least one additional scholarly source.

NeEma

Quantitative data are numerical statistics and numbers that can be used to discover patterns and themes in the data for the purpose of answering questions and solving problems. Quantitative data can be measured, and so provide minimal bias when conducted properly, and may be used to make generalizations concerning a population (Saunders, Lewis & Thornhill, 2015). Quantitative research can help business leaders better understand the dynamics of their business, as well as the way forward on important issues. For example, in their study, Santhosh and Baral (2015) presented a conceptual framework for influencing employee behavior and attitudes using corporate social responsibility (CSR) initiatives, and Katzenstein and Chrispin (2011) presented a model to help the African social entrepreneur address the unique problems of sustainability and capacity building on the continent. 

I am studying the relationship between employee engagement, productivity, and profitability. Employee engagement is an important subject as employees who don’t engage with their work and the organization force engaged employees to work harder in attempt to make up for the disengagement (Mueller, 2019). Otherwise, the disengaged employee negatively impacts productivity and profitability (Stoyanova & Iliev, 2017). According to my research, leadership that establishes strategic goals and values, and effectively implements them is the key to increasing employee engagement (Stoyanova & Iliev, 2017). Quantitative research in employee engagement is helping to provide solutions to business leaders to help improve productivity and profitability. Additionally, according to Jackson-Martin (2017), happy employees share their experiences to support community employment, and as a result, decrease unemployment in their communities.

 

References

Jackson-Martin, J. (2017). Strategies for catalyzing workforce engagement in warehouse operations[Doctoral dissertations]. Retrieved from search-proquest-com.ezp.waldenlibrary.org.

Katzenstein, J., & Chrispin, B. R. (2011). Social entrepreneurship and a new model for international development in the 21stcentury. Journal of Developmental Entrepreneurship16(1), 87–102. doi:10.1142/S1084946711001720

Mueller, M. (2019) "Show me the money: Toward an economic model for a cost-benefit analysis of employee engagement interventions". International Journal of Organization Theory & Behavior, Vol. 22 Issue: 1, pp.43-64. doi:10.1108/IJOTB-05-2018-0056

Santhosh, M. & Baral, R. (2015). A conceptual framework for exploring the impacts of corporate social responsibility on employee attitudes and behavior. Journal of Human Values, 21(2), 127–136. doi:10.1177/0971685815594270

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students(7th ed.). Essex, England: Pearson Education Unlimited.

Stoyanova, T. & Iliev, I. (2017). Employee Engagement Factor for Organizational Excellence. International Journal of Business and Economic Sciences Applied Research, 10, 23-29. Retrieved from https://www.ceeol.com/search/article-detail?id=546359

Courtney,

Quantitative research examines the relationship between variables in a statistical analysis that tests a hypothesis (Green & Salkind, 2017). Studies that quantify the effects of social responsibility can provide valid and credible data that can support corporate social responsibility and the benefits it has on a community.

My study can directly impact local businesses in the State of Oklahoma by studying the successful strategies of procurement officers. Procurement officers that create a relationship with suppliers promote a better-quality product or service. The supplier is better able to anticipate the buyers needs when there are open channels of communication between the parties. An improved relationship leads to a more innovative supplier giving them the competitive advantage which can in turn promote their growth in the community.

 

Green, S. B., & Salkind, N. J. (2017). Using SPSS for Windows and Macintosh: Analyzing and understanding data (8th ed.). Upper Saddle River, NJ: Pearson.

Post an analysis of the role of ethical decision making on the practice of quantitative business research. In your analysis, do the following:

  • Explain the impact of using reliable and valid measures on quantitative findings.

  • Describe the negative impact of using inappropriate measurements, including supportive examples.

  • Explain the importance of knowledge of quantitative techniques to the ethical outcomes of quantitative research.

Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and at least one additional scholarly source.

NeEma

Ethics are standards of behavior, which guide researchers in their work with the subjects of their research (Saunders, Lewis, & Thornhill, 2015). One perspective of ethical views, the deontological view, holds that a researcher must follow the rules, and there are no exceptions (Saunders, et al., 2015). The teleological view holds that consequences determine the actions takent, based on the costs versus benefits of the consequences (Saunders, et al., 2015). 

Greenwood (2016) espoused the teleological view when she argued that concern for research subjects based on compliance with stated rules was insufficient, and that engagement with the individual and subject matter should guide ethical considerations. Frechtling and Boo (2012) demonstrated the deontological view, calling for the need to comply with the World Association for Public Opinion Research (WAPOR) code in the process of publishing articles in journals for tourism management research. Furthermore, Frechtling and Boo ascertained that it was possible to comply with the code, and that enforcement mechanisms were needed to assure that incorrect findings were not presented.

According to Saunders et al., due to differences in views and social norms, various fields of endeavor have developed, and maintain codes of conduct that guide the behavior of members using principles that matter to particular groups. Walden university expects student to comply with codes of conduct during research, which were developed by the university ethics committee based on education standards for the purpose of approving research proposals. Furthermore, ethical issues are of significance throughout student research projects; from developing the research design, handling participants, data collection, and analysis and reporting stages (Saunders, et al., 2015).

 

References

 

Frechtling, D., & Boo, S. (2012). On the Ethics of Management Research: An Exploratory Investigation. Journal of Business Ethics106(2), 149–160. https://doi-org.ezp.waldenulibrary.org/10.1007/s10551-011-0986-7

Greenwood, M. (2016) Approving or improving research ethics in management journals. Journal of Business Ethics, 137, 507-520. doi:11007/s10551-015-2564-x 

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students(7th ed.). Essex, England: Pearson Education Unlimited.

Mythily

Ethics and Quantitative Business Research

         Reliability is defined as the extent to which the data collection technique will yield consistent findings, observations, and conclusions in terms of reproducibility and consistency (Saunders, Lewis, & Thornhill, 2015; Tang, 2015). Validity is the extent to which the methods accurately measure what they had to measure (Saunders et al., 2015) or the instrument measures what it claims to measure (Tang, 2015). Heale and Twycross (2015) and Saunders et al. (2015) identified reliability and validity as two main components of judging the quality of quantitative research. Inappropriate measurements impact the research quality and may produce unreliable and invalid results.

           Ethics can be of concern through out the research process regardless of the methodology and design. However, Saunders et al (2015) indicated that qualitative research generally cause more ethical concerns than quantitative. Greenwood (2016) summarized that ethical considerations must be built into the research similar to credibility and generalizability.

 

References

Greenwood, M. (2016). Approving or improving research ethics in management journals. Journal of Business Ethics137(3), 507–520. doi:10.1007/s10551-015-2564-x

Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative studies. Evidence Based Nursing18(3), 66–67. doi:10.1136/eb-2015-102129

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students (7th ed.). Essex, England: Pearson Education Unlimited.

Tang, K. (2015). Estimating productivity costs in health economic evaluations: A review of instruments and psychometric evidence. Pharmacoeconomics33(1), 31–48. doi:10.1007/s40273-014-0209-z