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The purpose of this research is to evaluate the financial performance measures calculated and reported by the Economic Resource Service (ERS) from Agricultural Resource Management Survey (ARMS) data. The evaluation includes the calculation method and the underlying assumptions used in obtaining the reported values. Recommendations for improving the information reported are proposed to ERS.

The financial measures calculated and reported are compared with those recommended by the Farm Financial Standards Council (FFSC). The underlying assumptions are identified by analyzing the software code used in calculating the values reported. The values reported by ERS are duplicated and alternative methods for calculating the financial performance measures are considered. The values obtained from the various calculation methods are compared and contrasted.

Recommendations for ERS include: calculate and report the financial measures recommended by FFSC, note values that are imputed, periodically update and validate assumptions used in calculating imputed values, review its policy for flagging estimates as statistically unreliable, report medians and other select percentiles, and consider reporting the percent of farm businesses that have values within critical zones.

A total of four methods for calculating financial performance measures are compared and contrasted. These are the aggregate mean, sample mean, sample median, and percentage of farm businesses with values in critical zones.

This study investigates overtrading, which is the result of an expansion rate that is too high in relation to a particular business’s structure. It often results in cash flow problems. The phenomenon of overtrading is described in a case study on Profurn. In this study, a ratio was developed that can be used to identify companies in an overtrading position. Selected variables were tested by means of the Kruskal Wallis test in order to pinpoint variables that can discriminate successfully between companies that are overtrading and ones that are not. Overtrading occurred in 15.5% of the company years of listed South African companies between September 1989 and December 2005. Of the 35 variables tested, 31 were found to be able to discriminate statistically between company years in which overtrading occurred as opposed to ones in which it did not occur. These variables can therefore be used to profile companies that overtrade.

Sees the objective of teaching financial management to be to help managers and potential managers to make sensible investment and financing decisions. Acknowledges that financial theory teaches that investment and financing decisions should be based on cash flow and risk. Provides information on payback period; return on capital employed, earnings per share effect, working capital, profit planning, standard costing, financial statement planning and ratio analysis. Seeks to combine the practical rules of thumb of the traditionalists with the ideas of the financial theorists to form a balanced approach to practical financial management for MBA students, financial managers and undergraduates.

Construction businesses are perceived uncertainly by investors, and are generally assumed to represent more risk than other businesses. Added to this is the perception of poor business management practices being adopted by construction companies, sometimes resulting in business‐failure. Fluctuations in construction workload contribute to investor anxiety. In this light, the paper aims to present a study of the comparative management efficiency performance of construction companies.

Publicly listed Australian construction companies over the ten‐year period 1998‐2007 are examined. Performance is compared with a select number of “blue chip” companies as a benchmark. In total, 19 management efficiency measures are used including asset management ratios, debt and safety ratios, and cash flow ratios. The construction companies used in the study engage in work covering the full range of construction activities.

The results indicate that construction companies perform as well as, and in some cases better than, other businesses, dispelling some of the misconceptions about construction businesses.

The paper's finding will be useful to those investing in the construction industry, and will lead to a better public perception of construction businesses.

Given the positive organizational principles associated with total quality management (TQM) – customer focus, continuous improvement, and process management – one would assume TQM's application is universally beneficial across businesses. Generally, research supports that notion. However, given resource limitations and shallow management teams in small businesses, there are multiple challenges in implementing TQM in small and medium-sized enterprises (SMEs). Therefore, small business leaders should benefit from knowledge linking other management practices to TQM’s positive effect on small firm performance, which enhances these leaders' return on TQM investment.

The authors apply partial least squares structural equation modeling (PLS-SEM) to explore TQM’s effect on small business performance and how other management practices enhance that relationship. Specifically, the authors explore how a comprehensive strategic approach (CSA) – a higher-order construct consisting of strategic planning, goal setting, and financial ratio analysis – moderates the relationship between TQM and small business performance. Given the complexity of the authors' model, the application of higher-order constructs, and the exploratory nature of this work, PLS-SEM is well suited for this study.

Consistent with prior research, the authors found that TQM (also a higher-order construct, consisting of seven lower-order constructs) positively impacts small firm performance. In addition, the authors found that CSA positively moderates the relationship between TQM and financial performance.

TQM’s effect on small business performance is enhanced when leaders implement a CSA. In other words, when small business leaders strategically plan, set goals, and analyze financial ratios, TQM's positive effect on firm performance is enhanced. This finding provides business leaders insights for how to maximize the TQM investment return.

A financial statement analysis case uses the government-wide financial statements of Corona, CA to teach students about the financial overview provided in the new governmental financial reporting model. Educators are struggling to incorporate the new model in their governmental accounting curricula. The case analysis is beneficial to students in three ways. First, the active, case learning approach of using a real world example complements existing pedagogical materials for better mastery of the new reporting model. Second, the case approach of using ambiguity and alternative solutions promotes the development of analytical skills. Third, the written requirement and class discussion promotes the development of communication skills.

By reading and understanding this case study, students are expected to: 1.Able to understand and review the impact of unethical practices from accounting perspective; 2.Able to make an analysis of how one unethical act triggers a series of forced unethical acts (ripple effect); 3.Identify the unfair practices as well as be proactive in preventing unfair practices in the business day to day affairs; 4.Able to relate the function of various ratios (current ratio, quick ration, debt to asset ratio, debt to equity ratio etc.) and its impact on the business performance; and 5.Able to apply various lean quality tools, doing the root cause analysis in identifying and solving problems.

T.M. Exports (TME) was an India-based privately owned and operated enterprise. The company had a brilliant employee named Sanjay, who was a 12-year veteran. TME’s Business Intelligence (BI) department at TME head office, Kanpur, India, ostensibly learned on April 8, 2019, from the rumors about a brand-new vehicle dished out to Sanjay by his friend who made fortune worth of millions from certain transactions. To add fuel to the fire, another incident surfaced concerning a warehouse keeper, Mohit, who was also involved in embezzlement in one of the sales offices. On May 16, 2019, BI reported these two incidents to the internal auditor who launched an internal investigation to get to root of this case. Consequently, the company owner, Tariq Mahmood got himself caught up in a dilemma to fire both Sanjay and Mohit only or restructure the organization for better transparency and integrative approach in future. Moreover, the newly appointed Chief Executive Officer had the dilemma of keeping high safety stock to maximize service level or keeping conservative safety stock and rely on-spot market-buying if demand spiked. He decided and instructed all the warehouses to keep higher inventories to meet the forecasted demand, considering unexpected spikes in demand witnessed historically. Thus, increase in inventory caused panic in the sales department as demand was sluggish. He, therefore, offered high discounted prices to liquidate the stock. This study integrated the theories of accounting/financial ratio metrics, accounts reconciliation, business ethics and lean tools. It was demonstrated in this case that the irregularities in sales accounting and their inability of reconciliation had a serious impact on business performance. The concept of total reward was also invoked to understand the disruptive and unscrupulous practices.

This case has been particularly focused on undergraduate and postgraduate early-stage-level students pursuing business or commerce program, particularly those specializing in accounting (sales accounting) and human resource management courses.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.

The coronavirus disease 2019 (COVID-19) pandemic has taken society, business and industries by surprise leading to a worldwide economic recession, pushing organizations to rethink their business model in order to shift from activity shutdown toward sustainable growth. The purpose of this research is to comprehend the implications and relationship between entrepreneurship, innovation, digitization and digital transformation aspects as the levers to achieve this goal.

Following the existing literature, an empirical approach has been established involving a quantitative analysis of secondary information obtained from official datasets and reports.

The COVID-19 pandemic was found to be an unfortunate accelerator regarding both consumers' habits and organizations' innovation and digital transformation, breaking with the past leading to new sustainable growth business models.

The research provides an underlying outcome that addresses how wealth and economic value could be generated within the framework of new economic models in a post-pandemic environment.

The research highlights how the pandemic has disrupted what was known about sustainable business growth, and how this affects the future of business beyond the pandemic scenario, transforming the way society, businesses and customers interact.

The purpose of this paper is to examine the extent to which “corporate governance” and “conservatism” variables can contribute to the predictive ability of corporate financial disclosures.

Multiple discriminant analysis is used to differentiate between good and poor companies in Australian manufacturing industry on the basis of their 2009 performance. A classification model including size, governance and conservatism variables, together with financial ratio data is constructed based on 2008 data, and used to predict 2009 performance.

A model with conservatism, total debt/total assets, company size, and “percentage of shareholdings held by non‐executive directors” (representing corporate governance) as its independent variables, has a classification accuracy of 80.6 percent, and a predictive accuracy of 62.2 percent.

The relatively small sample size, for Australian manufacturing companies, limits both the predictive ability of the model and its generalisability elsewhere.

The findings of the paper demonstrate the importance of both “conservatism” and “corporate governance” measures in determining corporate financial performance.

The paper uses familiar discriminant methods in an unfamiliar context – focusing on surviving companies exhibiting extremes of financial performance.