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This paper aims to investigate changes in corporate disclosures of labour‐related costs in financial statements arising from a change in the accounting regime from generally accepted accounting principles (GAAPs) to international financial reporting standards (IFRSs) in Australia.

An archival empirical approach is taken. Data are sampled for 160 listed companies in Australia over seven years covering Australian GAAPs (2003‐2005) and Australian IFRSs (2006‐2009) periods. To measure disclosures, a classification and count is made of line items for labour‐related costs found on the face of and in the notes to financial statements. These disclosures are analysed against firm‐specific characteristics and industry categories.

Results reveal companies disclosing “total labour costs” rose from about 60‐85 per cent, and the discretionary disaggregation of “total labour costs” became more prevalent. Companies providing disaggregated information in the post‐IFRSs period are characterized by lower total assets, lower sales and lower labour costs. Their return on equity and labour intensity are not found to be differentiating characteristics. Reasons for these phenomena are addressed.

Previous studies have not analysed the effect of IFRSs adoption on disclosures of labour‐related information. This study provides new evidence about the types of firms that have responded to IFRSs with new or enhanced labour‐related financial disclosures. It points to new opportunities for research and financial analysis from the enhanced availability of corporate‐level labour cost data.

The purpose of this study is to introduce a matching function approach to analyze matching in financial reporting.

The matching function is first analyzed analytically. It is specified as a multiplicative Cobb-Douglas-type function of three categories of expenses (labor expense, material expense and depreciation). The specified matching function is solved by the generalized reduced gradient method (GRG) for 10-year time series from 8,226 Finnish firms. The coefficient of determination of the logarithmic model (CODL) is compared with the linear revenue-expense correlation coefficient (REC) that is generally used in previous studies.

Empirical evidence showed that REC is outperformed by CODL. CODL was found independent of or weakly negatively dependent on the matching elasticity of labor expense, positively dependent on the material expense elasticity and negatively dependent on depreciation elasticity. Therefore, the differences in matching accuracy between industries emphasizing different expense categories are significant.

The matching function is a general approach to assess the matching accuracy but it is in this study specified multiplicatively for three categories of expenses. Moreover, only one algorithm is tested in the empirical estimation of the function. The analysis is concentrated on ten-year time-series of a limited sample of Finnish firms.

The matching function approach provides a large set of important information for considering the matching process in practice. It can prove a useful method also to accounting standard-setters and other specialists such as managers, consultants and auditors.

This study is the first study to apply the new matching function approach.

The construction industry can be characterised as a sector of the economy that uses planning, design, construction, maintenance and repair, and operation to transform various resources into physical facilities in both developed and developing countries. Residential and non-residential structures, as well as heavy construction, are among the types of public and private facilities built, and these physical facilities play an important and visible part in the development process. Major participants in the construction industry include the design team (architects, engineers and quantity surveyors), management consultants, general contractors, heavy construction contractors, special trade contractors or subcontractors, and construction workers, as well as the owners, managers and users of the built facility. Building financing and insurance businesses, land developers, real estate agents and material and machinery suppliers and distributors, to name a few, are all involved in construction, yet they are categorised as independent but connected industries. Cost is a major factor that affects and determine the choice and engagement of these processes and stakeholders, and the same has been a measure of project success from the time immemorial.

The purpose of this paper is to investigate whether sell-side equity analysts use labor cost information when forming expectations of future earnings. The availability of disaggregated earnings components will benefit financial statement users to the extent that the additional information released by a firm is useful to infer differential persistence of disaggregated earnings components.

This paper employs ordinary least squares, logit, and two-stage Heckman (1979) regressions which test whether analysts incorporate labor cost information into their earnings forecasts after controlling for a managerial self-selection to disclose labor costs, and further test whether a firm’s decision to voluntarily disclose labor costs improves analyst forecast accuracy.

This research finds that analysts incorporate labor cost information into their earnings forecasts after controlling for other earnings components. More importantly, this research shows that voluntary disclosure of labor cost information is positively associated with analyst forecast accuracy. Additional tests show that the benefit of voluntary labor cost information is more pronounced for firms with high information uncertainty and for analysts with less firm-specific experience and analysts affiliated with small brokerage houses.

This paper contributes to the literatures on the effect of labor cost on investors’ behavior and on analyst-specific factors in explaining analyst ability to predict future earnings.

This study uses the balanced scorecard(BSC) framework to assess the business performance of information technology (IT) expenditures in the Korean banking industry. The relationship between IT expenditures and bank’s financial performance or market share was significantly different depending upon the level of IT. For banks that maintain high IT level, IT expenditures appear to have (1) increased labor productivity, (2) decreased payroll expenses and increased operating and total administrative expenses, (3) increased market share, and (4) increased revenue and profit. The evidence suggests two important practical implications. First, if banks effectively use IT strategy to improve competitive advantage, they are likely to reduce payroll expenses and increase market share as well as profitability. Second, this study posits that bank managers should consider using a balanced scorecard approach to measure business performance of both IT and management strategies. Thus, evidence of this study provides guidance for achieving competitive advantage in the banking industry.

This chapter discusses techniques for scheduling and organizing staff to meet guest demands and financial obligations. Key building blocks relevant to labor management are explained, such as productivity, fixed and variable labor hours, and the development of realistic performance standards to help organizations optimize productivity. As a next step, this chapter illuminates the importance of providing management labor standards and staffing models, which are key management tools. Lodging and food and beverage labor strategies are presented. Finally, effective planning of labor scheduling is also discussed.

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.

Beginning Farmer and Rancher programs are available for operators with ten years of experience or less on any farm. These programs support farmers who are starting operations, often without an initial asset allocation. However, some beginning farmers acquire operations that are already established, with substantial assets in place. The authors investigate whether a profitability gap exists between beginning farmers entering the industry ex novo and those operating a preexisting operation and if so, what factors contribute to the gap.

The authors utilize the Blinder-Oaxaca decomposition to determine what drives financial differences between first-generation beginning farmers, second-generation beginning farmers and established farmers using a unique farm-level panel dataset from 1997 to 2021.

Results indicate that first- and second-generation beginning farmers have similar operating profit margins, but first-generation beginning farmers have a statistically higher rate of return on assets than second-generation beginning farmers. Established farmers outperform second-generation beginning farmers on both the operating profit margin and rate of return on assets. These results suggest that economic viability for beginning farmers differs depending upon the initial status of their operation, suggesting that heterogenous policies may be more impactful in supporting various pathways to enter agriculture.

This analysis is the first to identify beginning farmers that enter the industry without an asset base and those that take over a principal operator role on an established farm through an assumed farm transition. The authors quantify differences in financial performance using detailed accrual-based financial data that tracks farms over time in one dataset.

The purpose of this paper is to propose an extended and modified value-added (VA) intellectual coefficient (VAIC) model, which includes intellectual capital (IC) components which were missing in the original VAIC approach. The proposed model has been used to explore the relationship between IC and firm performance for Turkish manufacturing firms on a more detailed level.

Multiple regression analysis has been employed to identify the IC components, which predict the performance of the firm and the moderating effect of some IC components on IC components–firm performance relationship. Data are required to calculate the IC components, and firm performance variables have been obtained from the financial reports of the Turkish manufacturing firms for the period 2003–2013.

According to the results for Turkish manufacturing sector innovation capital efficiency has a moderating effect on the relationship between structural capital efficiency (SCE) and profitability, meaning, depending on an increase in R&D expenses, the effect of SCE on profitability also increases. On the other hand, it has been found that innovation capital efficiency has a direct impact on firms’ productivity. The results also showed that IC efficiency components have a moderating role on the relationship between capital employed efficiency and profitability.

There might be a time lag until the effect of R&D investments can be observed in firms’ performance. However, this lagged impact of innovation capital and also other IC components on future firm performance has not been investigated due to concerns related to sample size.

The proposed model differs from the original VAIC model in three ways: it, namely, includes two additional IC components, customer capital (CC) and innovation capital. It explores the moderating effect of innovation capital on structural capital–firm performance relationship and the moderating effect of IC components on employed capital–firm performance relationship. As the last difference, it proposes an alteration in the VA calculation due to newly added IC components, CC and innovation capital.

Introduces the concept of a manufacturing strategy based on a service orientation. Traditional manufacturing strategies have often been driven by cost minimization decisions and have encouraged the over‐reliance by managers on inventories to satisfy demand. In today′s business environment, a reliance on inventory is often not feasible. Suggests a reliance on capacity available to meet demand, as used by the service industry. Such a strategy is in direct conflict with most cost‐accounting systems because of the absorption of overhead costs based on direct labour. Proposes two alternatives for changing the accounting system, to enhance the move towards the service‐based strategy. Lastly, presents a case study of a US plant to illustrate the results that a company adopting this approach should expect.