Chungking Express Reflection Sample Paper

Chungking Express is a 1994 Hong Kong romantic comedy film directed by Wong Kar-wai (Marchetti, 1). It follows two distinct stories about two police officers, Cop 223 (Takeshi Kaneshiro) and Cop 663 (Tony Leung), attempting to move on from heartbreak by finding new love. The film has earned much attention for its innovative visual style, poetic and emotional storytelling, and effective use of music. It has gone on to become a classic of international cinema. This paper will detail how Wong portrays Hong Kong as a transnational space/hub.

Wong Kar-wai’s film presents Hong Kong as a transnational space, a hub of constant change where different people, cultures, and commodities reside and pass through. Its narrative structure, film form, specific use of shots and effects, color, and editing techniques all contribute to this portrayal. The narrative structure is divided into two stories following a different police officer and their romantic encounters. The first one follows Takeshi, who got dumped by his girlfriend and became obsessed with a mysterious woman in a blonde wig. The second story follows Tony, who is also dealing with a recent breakup and is drawn to a quirky snack bar worker (Wong, n.p). These two stories are connected thematically and visually but also represent different aspects of Hong Kong’s transnational identity.

Takeshi Kaneshiro’s story takes place in the Chungking Mansions, a rundown building that serves as a global hub for immigrants and travelers (Marchetti 291). The building is a microcosm of Hong Kong’s transnational identity, with people from different cultures and backgrounds living and working together nearby. Takeshi’s story scenes use tight, claustrophobic shots to emphasize the cramped and chaotic nature of the building, with different languages and sound overlapping and blending (Wong, n.p). This creates a sense of disorientation and confusion, reflecting the experience of living in a transnational space where different cultures and identities collide.

Cop 663’s story occurs in more modern and cosmopolitan spaces, such as a trendy bar and a sleek high-rise apartment(Marchetti 292). These spaces are more polished and refined than the Chungking Mansions but still reflect Hong Kong’s transnational identity. The bar is filled with Western tourists and ex-pats, while Cop 663’s apartment is decorated with Western and Asian pop culture references. Tony’s story has bright, neon colors and stylized camera movements to create a sense of energy and excitement, reflecting the fast-paced and dynamic nature of Hong Kong’s transnational culture. The film’s props, costumes, and set design also contribute to portraying Hong Kong as a transnational space with characters wearing Western and Asian clothing, reflecting the hybridity of Hong Kong’s fashion and style.

Chungking Express set design combines traditional and modern elements, with characters moving between cramped, old-fashioned spaces and sleek, high-tech environments. This creates a sense of contrast and juxtaposition. The traditional spaces in the film, such as the hawker stalls where Faye buys produce and Cop 663 eats local fare and the sweatshops and flophouses frequented by the drug trafficker and her ilk, are presented as cramped and chaotic emphasizing the crowded and disorienting nature of Hong Kong’s traditional spaces(Wong, n.p). In contrast, the modern spaces in the film, such as the trendy bar and Cop 663’s sleek high-rise apartment, are presented as more polished and refined.

The film’s set design also reflects the transnational nature of Hong Kong’s culture and identity. For instance, the boom boxes and Garfield toy in the store display were presumably designed in the United States or Japan, purchased and marketed in hubs like Hong Kong, and then used by a global consumer. Moreover, the film’s exploration of commodities and consumerism adds another layer to its portrayal of Hong Kong as a transnational space. It shows how commodities and consumers are slippery characters, mystifying material relations of production and subject to the whims of fashion. All these aspects reflect the complex economic relationships in Hong Kong, where different cultures and identities collide and blend.

In conclusion, Chungking Express offers a rich and multifaceted portrayal of Hong Kong as a transnational space. Its exploration of gender roles, economic uncertainty, self-reflexivity, and transnational anonymity, among other themes, makes it a thought-provoking and engaging film that resonates with audiences today.

Work Cited

Wong, Kar Wai, director. Chungking ExpressFMovies, 14 July 1994, https://fmovies.to/movie/chungking-express-90yq0/1-full. Accessed 29 Apr. 2023.

Marchetti, Gina. “Buying American, consuming Hong Kong: Cultural commerce, fantasies of identity, and the cinema.” The cinema of Hong Kong: History, arts, identity (2000): 289-313.

Credit & Collections II Free Sample

Introduction

The business world is ever-evolving, making creditworthiness pivotal for a company’s financial stability and success. Abdou et al. (2016) state that creditworthiness is the ability to repay borrowed funds. So, it is a critical factor for any lending institution when assessing its profitability, risk management, and debt recovery. For this reason, companies must undertake a thorough evaluation of prospective borrowers’ creditworthiness. This complicated process necessitates leaders to consider various elements such as credit reports, income validation, debt-to-income ratio, collateral, and background checks when gauging a borrower’s fiscal position and credit record. Each parameter is imperative in understanding the borrower’s creditworthiness comprehensively.

Additionally, financial statements and racial analysis are beneficial instruments in determining the creditworthiness of potential borrowers. According to Palepu et al. (2020), financial statements provide insight into the borrower’s financial standing and performance, while racial analysis aids in eliminating biases from loan decisions. By employing these tools, leaders can make informed credit judgments that optimize profits, reduce risks, and lower harmful debt levels.

Evaluating creditworthiness is vital for lending institutions to ascertain a company’s financial stability. This essay will elucidate the steps taken to determine creditworthiness and the value of utilizing financial statements and racial analysis in credit decisions (Turner, 2016). Moreover, fair lending practices and unbiased criteria in evaluating creditworthiness will be discussed to establish trust and promote equity within the financial system. Through this exploration, readers can understand the intricacies of credit evaluation and its importance for businesses. To ascertain creditworthiness, leaders should follow several steps that analyze a potential borrower’s past, present, and future finances. This includes reviewing the borrower’s credit report to identify their credit score, payment history, and current debt balance.

Steps to Determine Creditworthiness

When determining creditworthiness, leaders should execute a series of steps to evaluate potential borrowers’ past, present financial position and future potential. The following outlines the steps needed for this purpose.

Check the Credit Report

The applicant’s credit history must first be examined to determine creditworthiness (Abdou et al., 2016). This document contains information about the lender’s credit rating, recovery record, and outstanding debt; these are utilized to assess the borrower’s financial health and ability to handle their debt.

Analyze Financial Statements

In order to evaluate creditworthiness, it is necessary to scrutinize the financial statements of the prospective borrower (Wahlen et al., 2022). These statements illustrate the borrower’s fiscal efficiency, including revenue, expenditures, resources, and liabilities. With this information, decision-makers can gauge the borrower’s financial soundness, capital flux, and capacity to fulfill their financial responsibilities.

Debt-to-Income Ratio Analysis

An essential aspect of analyzing a borrower’s credit profile is determining their debt-to-earnings ratio. This formula, which determines whether the borrower will be able to meet the loan terms, divides the applicant’s total monthly payment on debt by their prior-to-taxes monthly earnings. A high debt ratio to income can indicate upcoming repayment problems, while a low value might imply good financial health and a higher chance of successful repayment.

Verify Employment and Income

Debt-to-income ratio analysis is crucial to evaluating a person’s credit position. This calculation reveals the borrower’s ability to repay loans by dividing their total monthly liabilities by their prior-to-taxation monthly income. A high debt-to-income ratio could be a warning sign of potential repayment struggles, whereas a low figure may demonstrate financial soundness and an increased likelihood of successful repayment.

Assess the Borrower’s Future Prospects

Evaluating a prospective borrower’s future possibilities is the last step in determining creditworthiness (Abdou et al., 2016). This crucial phase enables decision-makers to decide if the borrower will likely be able to pay back the financial obligation in the future. Leaders can also consider the borrower’s sector, general economic trends, and marketplace circumstances when assessing the borrower’s prospects. Evaluating the borrower’s industry is critical because some are likely less stable than others. The ability of a building business to repay loans, for instance, can be significantly impacted by economic downturns, given how cyclical the building services sector is.

In comparison, the healthcare sector is typically more resilient and less cyclical, which might make it a safer investment for lenders. Leaders must consider economic trends when evaluating a borrower’s potential in the future. The capacity of a borrower to repay loans can be affected by economic variables, including rising inflation, mortgage rates, and GDP growth. For instance, consumers may need help paying back loans that elevated rates.

Finally, executives should consider the market’s health when assessing a borrower’s potential for future growth. A borrower’s capacity to make a profit while making loan repayments may be impacted by shifts in customer demand, technical development, and competition. For instance, conventional physical retail businesses are far more risky ventures for lenders due to the development of online sales. Leaders are better equipped to decide if to grant a loan petition by considering these variables. Additionally, they can design the loan to reduce risk and guarantee that the applicant can repay it. For instance, in a risky sector or economic environment, a lender can demand a larger down payment or a shorter repayment duration from a borrower.

Racial analysis and financial statements

Making credit judgments requires using crucial resources like monetary records and racial analysis. The racial analysis aids in identifying possible discrimination in the credit rating process, while financial statements give information about the debtor’s financial success.

Financial Statements

A thorough analysis of the borrower’s economic performance is provided via financial statements. The three primary financial statements used in credit analysis are the income statement, balance sheet, and cash flow statement sheet (Palepu et al., 2020). The balance sheet summarizes the borrower’s financial position, while the income statement details the borrower’s revenues and outlays its costs. Understanding the borrower’s payments and withdrawals of cash is possible thanks to the cash flow statement. For instance, an elevated debt-to-equity ratio or insufficient liquidity may indicate that a business faces a significant risk of loan default. Leaders must examine these elements when determining a borrower’s creditworthiness. Analyzing an organization’s earnings might also reveal its capacity to repay loans. By looking at their income statement, leaders can examine borrowers’ competitiveness and determine whether they make enough money to make up for the loan.

Analysis of Race

Recognizing (Turner, 2016), racial analysis is a technique for finding possible prejudices in the credit assessment technique. It entails looking at lending choices and loan applications to find patterns of racial, ethnic, and gender discrimination. By using this analysis, leaders may make sure that their credit evaluation process is unbiased and objective. Leaders can find any possible prejudices in their credit assessment procedures and take action to address them by carrying out a racial analysis (Turner, 2016). It may be a clue that a company’s credit evaluation procedure is biased, for instance, if its loan acceptance rates are notably lower for people of a specific race or ethnicity. Implicit biases or insufficient underwriting standards may be to blame for this. Gomez & Bernet (2019) depict that leaders may gain the trust and credibility of their clients by addressing these prejudices and ensuring that their credit rating procedure is impartial and fair. As a result, the lending institution may experience improved client retention and satisfaction, resulting in more revenues.

Conclusion

In conclusion, figuring out a potential borrower’s creditworthiness is a complicated procedure that considers various criteria. Leaders must take actions like confirming income, examining credit records, evaluating collateral, running background checks, and evaluating the borrower’s prospects for the future. By taking these measures, the lending institution is guaranteed to make knowledgeable and unbiased credit choices, limiting risks and cutting down on bad debts. In addition to the mentioned elements, racial analysis, and financial statements might help in credit decision-making (Gomez & Bernet, 2019). A borrower’s financial status, performance, and stability are all vitally revealed by financial statements, as stated by Wahlen et al. (2022). In contrast, race analysis aids in removing any potential biases that may exist in the credit assessment procedure.

In the long run, a fairer monetary system is created as a result of lending institutions adopting fair lending policies and using objective standards in their rating evaluation procedures. It is crucial to remember that racial analysis and financial accounts should not be the only factors considered when deciding whether to grant credit. Additional elements like market movements, financial markets, and industry changes must also be considered in weighing risk and reward. Acknowledging Abdou et al. (2016), evaluating a borrower’s creditworthiness is a crucial component of lending and calls for a thorough and impartial methodology. Leaders may increase revenues, reduce risks, and eliminate bad debts by using the strategies described in this essay while ensuring that their funding procedures are just and equal.

References

Abdou, H. A., Tsafack, M. D. D., Ntim, C. G., & Baker, R. D. (2016). Predicting creditworthiness in retail banking with limited scoring data. Knowledge-Based Systems103, 89-103.

Gomez, L. E., & Bernet, P. (2019). Diversity improves performance and outcomes. Journal of the National Medical Association111(4), 383-392.

Palepu, K. G., Healy, P. M., Wright, S., Bradbury, M., & Coulton, J. (2020). Business analysis and valuation: Using financial statements. Cengage AU.

Turner, A. (2016). The business case for racial equity. National Civic Review105(1), 21–29.

Wahlen, J. M., Baginski, S. P., & Bradshaw, M. (2022). Financial reporting, financial statement analysis, and valuation. Cengage learning.

Data Analysis And Recommendation At Carolinas HealthCare System Sample Assignment

Executive summary

The Carolinas Healthcare System (CHS), to support its strategic roadmap and goal, has invested in data analytics. Using data analytics to provide CHS with insights that can be implemented during pilot initiatives has proven to be fruitful. CHS has needed help to balance the need to protect patient anonymity and collect data that may be used for the progress and success of its data analytics. CHS might benefit from more data pieces not supplied in this case instance to improve its operations. It would have been possible to obtain the data that was lacking through surveys and interviews, and it would have been possible to analyze the data by applying descriptive statistics and machine learning methods. Dr. Michael Dulin and his team should investigate the possibility of forming strategic partnerships with organizations in the greatest position to deliver individualized, integrated data management services to patients. This study suggests that CHS strengthen its data management and analytic skills to facilitate further the process of making strategic decisions.

Data Analytics and CHS’s Mission

CHS has invested in data analytics to bolster its strategic roadmap and achieve its healthcare system objective, which is to enhance the health of those it serves for the good of the people and the general organization. Utilizing data analytics, CHS can better comprehend patients’ requirements and deliver individualized care, which will improve its outcomes. CHS needed analytical skills from an industry player that customers would trust to incorporate their healthcare data in the future as a result of the introduction of consumer tech businesses into the healthcare market; as a result, there was an entry of consumer tech companies into the healthcare field; thus, they decided to go with DA to fill the existing gap in the healthcare field. The Department of Agriculture (DA) has as continuing strategic priority the ability to foresee health needs, continuously improve patient outcomes, and develop revolutionary solutions for addressing community health challenges which CHS can utilize effectively for their upgrade.

Da had successfully launched many pilots encompassing a wide range of medical ailments, geographical areas, and functional capabilities, thus capturing the attention of CHS in furthering its programs. Instead of working on expanding its workforce, Carolinas Health Services (CHS) decided to form a partnership with the Department of Agriculture (DA) to focus on enhancing patient outcomes instead, which proved to be successful and of value to the company. Because of this, the mission states that “Our customers are the consumers and patients first, with payers coming in second” (Quelch & Rodriguez (2015). Most of DA’s capability was put toward delivering tools to CHS-affiliated hospitals so that these facilities could serve patients with healthcare that was on par with the best in their field. Analytical methods for evidence-based population health management, individualized patient care, and predictive modeling were created by DA, and CHS can effectively utilize the programs.

CHS has, via data analytics, uncovered possibilities to trial solutions that enhance patient outcomes while reducing costs. CHS, for instance, used data analytics to determine whether patients posed a significant danger of being readmitted and then designed individualized treatments to cut down on readmission rates. Data analytics have successfully achieved CHS’s goal of supporting the organization’s purpose. It helped the organization move away from a culture that was focused on anecdotes and toward one that was evidence-based, built a structure for the governance of data, and gathered and managed massive volumes of data efficiently. Many people saw the possibility that DA could become an additional source of revenue in the future by outsourcing the analytics services it provides to third parties. DA, clinical and translational studies, information technology, human resources, accounting and the auditing and accounting systems business, and the workplace of the general counsel were all represented on the data governance council that CHS formed.

Following the launch of the DA, the team received more than twice as many requests as it could accommodate due to capacity constraints. As a consequence of this, a procedure for prioritization using predictive analytics was developed. Instead of focusing on expanding the number of CHS as a measure of success, the DA2 wanted to see an increase in the services’ quality. DA was dedicated to cultivating excellent connections with the nurses and physicians at the hospital. According to Quelch and Rodriguez (2015), the decision-making process might be aided by combining the patient and financial data collected from the EMR through analytics. The data acquired through the CHS network collected at many different sites of care was used, and clinicians incorporated any additional suggestions and tools that were necessary. CHS took advantage of strategic alliances to integrate data from providers and payers and data from consumers into its predictive models. The statistics on expenditure were used to generate a risk score for patients who were hospitalized, and this score was then given to physicians and other healthcare professionals so that they might reprioritize the delivery of care. The communication approach that DA2 used was centered on improving the quality of the results through the engagement of the patient in changing his or her behavior.

CHS has struggled to find a happy medium that maintains patient anonymity while providing useful data. According to Quelch and Rodriguez (2015), most businesses have realized the value of analytics in expanding access to healthcare and reducing associated costs. CHS has established a set of policies and processes for data governance to guarantee that patient data is maintained securely and following the obligations imposed by regulatory authorities. On the other hand, certain personnel may not comprehend the regulations entirely, which could violate the patient’s right to privacy. In order to avoid illegal access to patient data, CHS workers need to be provided with training on data governance rules and procedures, and data access controls need to be implemented across the organization.

Data missing from the case

Staff management is another data-driven insight that will assist CHS in providing quality patient care following the business’s mission. With an engaged and unified workforce, service rates will stay high, patient-centered care will stay high, and medical mistakes will be more likely to occur. Data analytics, on the other hand, makes it possible to streamline staff management. When institutions are pressed for time, they can optimize their workforce while also anticipating the theater’s needs. Uneven personnel distribution is a common problem that plagues the mobility of healthcare institutions. Because of the imbalance between the departments, one department may need more personnel when required the most. Because of this, there is a danger of decreased job motivation and increasing absence rates.

Information on the performance of employees is necessary for staff management. The average yearly absenteeism and the departmental labor effectiveness over the preceding five years are important factors to consider. For the sake of data gathering, it is recommended that workers use computer systems to check in and check out of their shifts. Absenteeism is when an employee does not show up to work as scheduled and does not provide a valid reason for their absence. As a result, there is already data accessible on absenteeism. The return on investment generated by each department is used to calculate the overall labor effectiveness. At the end of the year, the productivity of each division in the firm is evaluated using a standardized rubric. It is documented over the preceding five years and is broken down by division. The process of data analysis begins with the collection of raw firm data from the various sources described earlier. The data has been categorized based on absenteeism and work efficiency during the past five years. There will also be an examination of the labor efficiency of each department. With data visualization, the CHS will be able to determine in advance, for particular departments and notably during busy seasons, whether or not they will require more people. When there is a lull in one department, moving knowledgeable employees to another may be beneficial. In addition, studies of medical data provide operators and senior staff members with the ability to give help when required.

Recommendation

Dulin is trying to decide which pilot program to continue with, even though there is significant related uncertainty. It is necessary for the program to both improve its flexibility and lower its expenses. In addition, it is necessary to translate and convert the expenses connected with DA2 into advantages by boosting CHS’s internal efficiency. Outside of CHS, DA2 has the potential to become a very useful tool. Because there are so many opportunities available in the wider market, it has the potential to become a source of revenue for the business. DA2 has the potential to both enhance results and simultaneously cut down on waste. However, Dulin is also responsible for meeting as many of its internal requirements as is humanly possible, including concerns about users’ privacy (Quelch & Rodriguez, 2015).

The HIPAA’s privacy provision safeguards any patient information that may be used to identify the patient. HIPAA regulates the healthcare providers, “clearinghouses, ” and payers. Patient information is only used for healthcare procedures, payment, or treatment with the patient’s agreement unless the data has been de-identified (meaning that identifying information is not shown). HIPAA does not prohibit data used to conduct analyses intended to make changes to the healthcare system. Access to patient information can also be granted to other parties, such as healthcare payers, whom HIPAA also covers. Because CHS was a healthcare provider and its workers had insurance they paid for themselves, the firm could not view patients’ disaggregated data. In addition, the human resources department gathered employee data, but this information was kept separate from any information on their health (Quelch & Rodriguez, 2015). Serious legal sanctions, including a punishment of at least one million dollars, might arise from violating the HIPAA confidentiality requirement if it is not followed.

Regarding wearables (such as step trackers and heart rate checkers), technology giants like Google and Apple have built mobile platforms that collect and aggregate individual data. With the user’s permission, the Health kit (an Apple device) might display the laboratory test results in a dashboard. If these digital companies establish an EMR firm, they will have access to clinical data they otherwise would not have. Because of their focus on raising public awareness, education centers are ideally situated to manage high volumes of patient traffic (Hunter & Gooedie, 2010). Utilizing the obtained data to identify the prevalent illness may be possible. Because of the high volume of patients treated there, these facilities generate large volumes of data that might be integrated into data management systems to improve efficiency in patient care. Almost every business that uses patient segmentation has access to a corporate data warehouse and employs scalable data methodologies that may provide integrated data management.

Without a new business model, Dulin must decide which project to pursue over the next three years. Dulin must first get senior-level buy-in, organizational alignment, and available resources. All pilot programs were consistent with CHS’s goal of providing better care with a focus on the individual. However, more than technological investments are appropriate. Alterations should be made to how things are done and how people think within the company. Dulin would also need to determine the extent to which the existing resources will contribute to the success and efficiency of the project (Kaiser, El Arbi, & Ahlemann, 2015). The dedication of upper management is crucial in breaking down obstacles in the project and should be considered. Dulin must also establish early on what will constitute a successful project. Such metrics are essential for monitoring the development of a project.

The danger of CHS spending money it does not have due to planned initiatives can be mitigated with accurate cost projections. Salaries, supplies, machinery, and overhead are all factored into these estimates (Lohrey, 2019). Assumptions made may include expenditures for labor that do not rise or fall as the project progresses, no change in total project expenses during the duration of the project, and no increase in the price of materials used in the course of regular project operations

A project’s return on investment (ROI) can be used as a performance metric and must be positive. To calculate return on investment, use the following formula (Lohrey, 2019):

ROI= [(Financial value- project costs)/project cost]*100

it is necessary to add up all costs and the projected income to establish the project’s profitability.

References

Hunter, C. L., & Goodie, J. L. (2010). Operational and clinical components for integrated-collaborative behavioral healthcare in the patient-centered medical home. Families, Systems, & Health, 28(4), 308.

Kaiser, M. G., El Arbi, F., & Ahlemann, F. (2015). Successful project portfolio management beyond project selection techniques: Understanding the role of structural alignment. International journal of project management, 33(1), 126-139.

Lohrey, J. (2019). Examples of Project Cost Assumptions. azcentral. Retrieved from https://yourbusiness.azcentral.com/examples-project-cost-assumptions-28231.html

Quelch, J.A. & Rodriguez, M.L. (2015). Carolinas HealthCare System: Consumer Analytics. Harvard Business Review.

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