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The aim of the current paper is to examine if participants attitudes and perceptions regarding risk leads to subsequent risky behaviours as this is indicative of sexual health and teenage pregnancy. The second aim was to explore if sense of coherence (SOC) (a predictor of mental health) mediates the relationship between perceived risk and risky health behaviours (RHB), or even be used as an indicator for RHB.

Young people from a targeted youth mental health programme for “at risk” teenagers, were asked to complete a battery of measures: SOC, The Adolescent Risk Behaviour Survey (ARBS) and RHB post-programme.

RHB such as drinking alcohol, taking drugs and smoking, correlated positively with attitudes to risk and negatively with SOC. Hierarchical regression analysis revealed that there was a significant relationship between ARBS and reported health behaviour, which was strengthened by SOC. SOC contributes to the relationship between attitudes and perception of risk and RHB, whereby individuals with stronger SOC were less likely to partake in RHB. Qualitative analysis revealed that the components of SOC (comprehensibility, manageability and meaningfulness) were perceptible six months minimum after the programme has been undertaken.

The present research was unable to obtain SOC baseline scores which could be used as evidence of the programme's impact. Furthermore, participants had completed the programme six months to six years previously, hence were relying on memory recall and self-report. Future research would incorporate three points of data collection on SOC in order to monitor change in relation to perceived risk and risk behaviours.

The paper provides a good framework in terms of adding value of the SOC concept for understanding the world of at risk young people and their psychological wellbeing, and a future tool for tracking whether changes occur. RHB in adolescence lead to health related problems as well as risk taking in adulthood, costing the NHS.

The intervention itself aims to target individuals at risk from being not in employment, education or training or teen parents which has wider social implications relating to educational engagement, health behaviours and the community.

The data analysis is applied to a specific group of at risk young people, on a novel intervention which uses an experiential learning model in order to encourage self awareness through the interaction with toddlers, as well as build self efficacy, improve mental health, self-esteem and decision making ability. The battery of measures used in combination within the research context is unique.

This study aims to examine the long-term effects of adopting economic value added (EVA) as a compensation tool on managers’ behaviour.

The authors extend the sample used in prior studies both in the time and the cross-section dimensions.

The study conclusions are distinct from those offered by existing studies. The authors show that EVA adopters, relative to non-EVA adopters, increase the working capital cycle, use their assets less intensively and decrease their payouts to shareholders via a decrease in dividends and share repurchases. In investing decisions, the authors find a decrease in new investments, but no change in asset dispositions after the adoption of EVA compensation plans.

The study results highlight that the EVA adoption provides more incentives to reduce the total cost for capital rather than increasing operations and maximising shareholder wealth. The results also have implication for corporate management, particularly in the area of management compensation scheme design.

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.

With increasing pressure on firms to deliver shareholder value, there has been a renewed emphasis on devising measures of corporate financial performance and incentive compensation plans that encourage managers to increase shareholder wealth. One professedly recent innovation in the field of internal and external performance measurement is a trade‐marked variant of residual income known as economic value‐added (EVA). This paper attempts to provide a synoptic survey of EVA's conceptual underpinnings and the comparatively few empirical analyses of value‐added performance measures. Special attention is given to the GAAP‐related accounting adjustments involved in EVA‐type calculations.

This paper discusses how organisational transformation is situated between design and mobilisation of management control systems. Change occurs even after implementation and design can transform organisational action to the point where organisations may run wild. The procedures developed by the design are actors that over time can transform organisations radically, and this calls for others to intervene into the effects of the design. This is mobilisation where managers intervene and supplement the design with processes and procedures that take the edge in terms of unintended effects away from the designs. Therefore, the mobilisation of the design is oriented towards its rectification so that it is possible to live with it. It is suggested that design can create effects that are highly nonintuitive and that ongoing mobilisation is added all the time. Economic value Added and balanced scorecard are used as examples in this discussion, and a small empirical illustration is provided.

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.

“Paying for performance” has been the corporate mantra for ages, but finding the right performance benchmarks continues to be an enigma. Equally significant is the ongoing debate on the superiority of economic value added (EVA) aligned executive incentive plans over traditional financial performance benchmarks to ensure optimal goal congruence between the corporate and the executive performances. Consequently, this paper aims to explore a plausible linkage between executive compensation and EVA for Indian corporates from a social constructivist perspective.

The study uses a mixed method approach where the quantitative analysis of responses from the survey of senior personnel/finance executives of Indian firms is complemented by the qualitative analysis of personal interviews to provide contextual depth to the quantitative data.

Based on the study, the researchers construct an understanding that EVA is a superior concept but has restricted utility primarily owing to its computational complexity and unaudited characteristics. The researchers’ interpretive inference finds mandatory disclosure of an audited EVA figure in the corporate financial statements as a prime requirement for EVA to emerge as an objective and visible performance measure.

Attention of policymakers is sought towards standardising its computation and ensuring its disclosure to bring it at par with the conventional executive financial performance benchmarks.

The narrative on benefits and the challenges of adopting EVA aligned performance management system is provided directly by the top-level executives responsible for designing the “paying for performance” policies.

This paper attempts to examine the impact of merger on the stock returns and economic value added (EVA) of acquiring firms to know if the mergers are successful corporate restructuring strategies for the firms.

In total, 108 Indian firms are studied using paired sample t-test and Wilcoxon signed rank test for comparing the EVA of acquiring firms in short, medium and long term after merger. The effect of merger announcements on stock returns is analyzed by way of event study. An event window of −20 to +20 is taken and an estimation window of 256 (-276 -20) days is used in the study.

The authors find that mergers lead to significant improvement in the EVA of acquiring firms. However, the increase in financial performance and EVA is witnessed only in long term. The authors did not find any significant impact of merger announcement on the stock returns of acquiring firms.

The study is a first of study's kind, which evaluates both short-term (using event study methodology) and long-term (using EVA) impact of value addition to an acquirer after Merger & Acquisition (M&A). The study contributes to existing literature on the signaling theory of announcement of M&As and synergy gain theory of completed M&As by providing evidence from the context of an emerging market like India.

The aim of this study is to propose a performance measurement and management system (PMMS) for small‐ and medium‐sized enterprises (SMEs), based on an analysis of the connections between these firms' business practices and performance measured by economic value added (EVA).

Secondary data from the PDG^® database was used on a sample of 108 Canadian manufacturing SMEs over two consecutive years. The primary statistical method used was regression analysis to investigate the influence of diverse business practices on EVA in these firms.

This paper shows that EVA can be a useful tool for performance management in SMEs, when used in conjunction with a list of business practices that affect the firm's results. The findings indicate that some business practices have a direct impact on EVA within one year, while others have a deferred influence. The impacts of other practices on EVA were found to be weak or insignificant, an aspect that requires further investigation.

The main limitation of this study is the lack of generalizability of the findings. However, the sampled SMEs vary widely in terms of their characteristics, which may mitigate the negative impacts of a non‐probabilistic sample.

This study offers a structured methodology to identify the paths leading to better performance in SMEs, through an improved understanding of their business practices' impacts on EVA.

To the best of the authors' knowledge, this is the first study that explores the linkage between SME business practices and EVA. When applied in conjunction with a set of business practices, EVA can help managers detect problems and identify sources of improvement.

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.