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This study investigates the relationship between lean manufacturing practices, management accounting and performance measurement (MAC & PM) practices, organizational strategy, structure, and culture, and facility performance. We extended past research by examining the relationships between lean manufacturing, MAC & PM practices and performance in a broader organizational context. Our study was performed using survey data provided by managers and executives at 368 facilities that had contacted the Shingo Institute for information or that had entered a Shingo Prize competition. Consistent with past research we found a significant positive association between lean manufacturing practices and lean MAC & PM practices. We found that greater employee empowerment, use of process performance measures, and use of lean accounting practices were driven primarily by lean strategy and secondarily by the extent of lean manufacturing practices. We also found that changes in organization structure to support lean are driven primarily by lean strategy and secondarily by lean manufacturing practices. Change toward lean culture, on the other hand, is driven by the extent of lean manufacturing practices. Further, we found that emphasizing process performance measures does not reduce emphasis on results performance measures and emphasizing results performance measures leads to improved financial performance. Process and results measures are being used in tandem and value stream costing has not replaced traditional accounting. The results of our study provide important insights for managers of companies engaged in lean transformation and for academics who teach or research lean accounting.

This study explores how balanced scorecard format and reputation from environmental performances interact to influence performance evaluations.

Two general options exist for inserting environmental measures into a scorecard: embedded among the four traditional perspectives or grouped in a fifth perspective. Prior balanced scorecard research also assumes negative past environmental performances. In such settings, and when low management communication levels exist on the importance of environmental strategic objectives (a common practitioner scenario), environmental measures receive less decision weight when they are grouped in a fifth scorecard perspective. However, a positive environmental reputation would generate loss aversion concerns with reputation, leading to more decision weight given to environmental measures. Participants (N=138) evaluated performances with scorecards in an experimental design that manipulates scorecard format (four, five-perspectives) and past environmental performance operationalizing reputation (positive, negative).

The environmental reputation valence’s impact is more (less) pronounced when environmental measures are grouped (embedded) in a fifth perspective (among the four traditional perspectives), when the environmental feature of the measures is more (less) salient.

Findings provide the literature with original empirical results that support the popular, but often anecdotal, position of advocating a fifth perspective for environmental measures to help emphasize and promote environmental stewardship within an entity when common low management communication levels exist. Specifically, when positive past environmental performances exist, entities may choose to group environmental performance measures together in a fifth scorecard perspective without risking those measures receiving the discounted decision weight indicated in prior studies.

The main aim of this paper is to examine the claim that economic value added (EVA) advocates its superiority over the traditional accounting-based financial performance measures, i.e. profit after tax (PAT), earnings per share (EPS), return on assets (ROA), return on equity (ROE) and return on investment (ROI) in the Indian manufacturing sector and at the same time, give empirical facts. It also tests and examines the information content of various performance measures and their relationship with stock returns.

The paper uses the sample of 534 Indian manufacturing companies from the Bombay Stock Exchange (BSE) during the period 2000–2018. Multiple regression models are applied to examine the information content of EVA and traditional performance measures in explaining shareholders’ returns.

Relative information content tests revealed that traditional accounting-based measures such as EPS, ROE and ROA performed better than EVA in explaining the returns of Indian manufacturing companies. Incremental information content of EVA adds little contribution to information content above traditional performance measures. The claim of superiority of EVA over accounting-based measures in association with shareholder returns is proved invalid in Indian manufacturing companies.

This study concludes that EVA has no superiority over traditional accounting-based financial performance measures in explaining stock returns of Indian manufacturing companies. To achieve heftiness in outcomes, panel data are tested by using Breusch–Pagan–Godfrey (BPG) test for heteroskedasticity, Hausman’s test for fixed and random effect, variance inflation factor (VIF) test for multicollinearity and Durbin–Watson test for autocorrelation.

The main objective of this study is to examine the claim of economic value added (EVA) proponents about its superiority as a financial performance measure compared to five traditional performance measures, i.e. net operating profit after tax (NOPAT), cash flow from operations (OCF), earnings per share (EPS), return on capital employed (ROCE) and return on equity (ROE) in Indian manufacturing sector, and simultaneously provide its empirical evidences. To achieve this, relative and incremental information content of various performance measures and their relationship with market value added (MVA) is tested and examined.

Principal component analysis (PCA) is one of the important multivariate methods utilized in business research for data reduction, latent variable modeling, multicollinearity resolution, etc. The present sample consists of 608 firm‐year observations from the Indian manufacturing sector for the period 2000‐2007. Firstly, principal component analysis (PCA) is employed to determine the important variables that explain market value. Secondly, alongside PCA, multiple regression models (OLS) are used to examine the relative and incremental information content of EVA and traditional performance measures.

These results about PCA reveal that variables like NOPAT, OCF, ROE, ROCE and EVA have maximum influence on the market value (MVA) of the sample companies, whereas EPS has a negative loading, so, EPS is discarded for further analysis. Further, the PCA loading matrix reveals that NOPAT, OCF, ROE and ROCE outscore EVA. The regression results regarding the relative information content test reveal that NOAPT and OCF outperform EVA in explaining the market value of Indian companies. The incremental information content test shows that EVA makes a marginal contribution to information content beyond NOPAT, OCF, ROCE and ROE. Overall, these empirical results about Indian companies do not support the Stern Stewart hypothesis that EVA is superior to traditional accounting‐based measures in association with market value of the firm.

The study concludes that along with financial variables, other non‐financial variables such as employees, product quality, etc., should be considered in order to capture the unexplained variation in the market value of Indian companies.

The purpose of this paper is to examine the claim of economic value added (EVA) proponents about its superiority as a corporate financial performance measure, compared to traditional performance measures in non‐financial Indian companies and provide empirical evidences.

The paper uses a sample of 873 firms‐year observations from the Indian market and applies pooled ordinary least square regression to test the relative and incremental information content of EVA and other accounting‐based measures in explaining the market value added.

The results about relative information content test reveal that NOAPT and OCF outperform EVA in explaining the market value of Indian companies. Incremental information content test shows that EVA makes a marginal contribution to information content beyond traditional performance measures such as NOPAT, OCF, EPS and RONW, etc. Overall the authors' results do not support the hypothesis that EVA is superior to traditional accounting‐based measures in association with market value of the firm.

The authors conclude that non‐financial variables such employees, product quality and community satisfaction should be considered in order to capture the unexplained variation in the market value of the firm.

The objective of performance measurement has changed over the past few decades. Traditional performance measures based on productivity are no longer appropriate or representative of the information needs of today’s competitive global market. Alternative performance systems have been proposed that range from time as the basis of all measures to the integration of a variety of performance measures. Reviews and analyses the limitations of traditional approaches to performance measurement as well as the emerging trends in performance measurement system development. Reveals that the basis of performance measurement is changing and that there are certain characteristics that are necessary in order to produce information that is relevant for improving world‐class manufacturing performance.

The purpose of this paper is to examine the superiority of economic value added (EVA) over the traditional accounting performance measures, i.e. earnings per share, return on assets and return on equity. For this purpose, the relative and incremental information content of EVA and accounting measures are tested by examining the relationship of these measures with stock returns.

The analysis is performed for a sample of 50 Indian companies selected from the index Nifty 50 for the period of 2008-2011. The penal regression models are applied to examine the relative and incremental information content of EVA and traditional performance measures.

The study finds that EVA has more relevant and incremental information content than accounting measures for analyzing shareholder value creation. These results confirm that EVA is better performance measure than traditional accounting measures.

The study could be further extended for the sample of other firms covering the specific industries and sectors. The calculation of EVA could be modified with respect to the adjustment in profit after tax and the calculation of cost of capital.

The study has implications for the managers who are responsible to generate the wealth of shareholders by formulating the corporate financial policies. The findings also help investors who are closely concerned with the financial health of the firm while taking their investment decisions.

The novelty of this study is that it relates total return of firm’s stock with the financial measures unlike the previous literature.

Faced with new wealth creation paradigm, triggered by technology and relentless globalization of markets, increasing number of companies are becoming knowledge‐based enterprises. This paper aims to discuss the change in enterprise environment; evolution of performance and cost measures; and the challenges for managerial accounting researchers and practitioners in developing value‐based costing and performance measurement systems (PMS).

A conceptual discussion and approach are taken.

Internet and e‐commerce have changed forever the way companies conduct their businesses. Virtual enterprise and efficient supply chain management systems will shape the future of these enterprises. Organizations are trying to become agile enterprises with the help of strategic alliances of firms and integration using information technologies. Traditional performance and cost measures are no longer suitable for developing and managing enterprises in the so‐called new environment. In order to remain relevant and to add value, cost and performance measures must be designed and systematically evaluated to reduce the often‐unnoticed mismatch between strategic goals and operational tactics.

Suggestions are presented for future research directions in managerial accounting areas that would address the requirements of new economy enterprises.

Alerts managerial accounting researchers and practitioners to develop new costing and PMS taking into account the new enterprise environment.

Previous empirical results on the relationship between internationalization and firm performance have been mixed. Both monotonic and curvilinear relationships have been reported. Most recent studies have focused on different types of curvilinear relationships, such as inverted Ushaped, standard U‐shaped, and multiple waves. This paper utilizes a more current sample of firms than prior studies have used and decomposes traditional financial performance measures, applying two different measures of degree of internationalization, country scope and foreign sales as a percent of total sales (FSTS), to measure the effects on financial performance of different degrees of internationalization. Several financial performance measures, including traditional indexes (ROE and ROA) and a decomposition of traditional ones (Profit Margin, Total Asset Turnover), are examined.

Following the optimal contracting hypothesis, this study investigates the issue of whether the board of director's ex ante choice to incorporate individual performance evaluation (IPE) measures into the CEO bonus plan rewards managerial decisions not reflected in measures of the firm's current financial performance. Empirical results provide evidence that the use of IPE in the CEO bonus plan is an increasing function of the proportion of outsider directors on the board and a decreasing function of the informativeness of financial performance measures. This study also demonstrates how the use of IPE in incentive contracting can explain CEO cash compensation that is not explained by the firm's current performance and governance variables. Finally, the CEO incentive cash compensation not explained by observable performance measures or governance structure is positively associated with firm future performance one year after its award. Overall, results support the optimal contracting hypothesis. IPE appears to be used to increase the informativeness of CEO actions and determine the level of current CEO cash incentive compensation.