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Article
Publication date: 1 December 2001

Stewart Jones and Rohit Sharma

Outlines the rapid growth of “new economy” companies in Australia and compares their levels of earnings management with “old economy” firms, using data on all Australian listed…

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Abstract

Outlines the rapid growth of “new economy” companies in Australia and compares their levels of earnings management with “old economy” firms, using data on all Australian listed companies. Reviews the relevant research, explains the methodology and presents the results. Shows that the old economy firms do engage in significant earnings management which is positively associated with leverage and free cash flow levels but, surprisingly, that this is far less evident in the new economic sector. Considers consistency with other research, the underlying reasons for the findings (including regulatory constraints) and opportunities for further research.

Details

Managerial Finance, vol. 27 no. 12
Type: Research Article
ISSN: 0307-4358

Keywords

Book part
Publication date: 1 October 2014

Michael Donadelli

This chapter measures financial integration in 10 industries over 4 different periods. We use two robust measures of integration: (i) the Pukthuanthong and Roll (2009)’s…

Abstract

This chapter measures financial integration in 10 industries over 4 different periods. We use two robust measures of integration: (i) the Pukthuanthong and Roll (2009)’s multi-factor R-square and (ii) the Volosovych (2011)’s integration index. Both measures, based on PCA, indicate that the difference between the level of integration over the period 2009–2012 (“Post-Lehman” era) and the level of integration over the period 1994–1998 (“Post-Liberalizations” era) is relatively high. In addition, the level of financial integration across international equity markets decreased during the late 1990s. This suggests that de jure integration does not necessarily improve de facto integration. Overall, our findings give rise to a “diversification benefits-insurance benefits trade-off.”

Details

Risk Management Post Financial Crisis: A Period of Monetary Easing
Type: Book
ISBN: 978-1-78441-027-8

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Book part
Publication date: 6 December 2021

Heather Moore, Lihua Dishman and John Fick

Employee turnover is a growing challenge for health-care providers delivering patient care today. US population demographics are shifting as the population ages, which leaves the…

Abstract

Employee turnover is a growing challenge for health-care providers delivering patient care today. US population demographics are shifting as the population ages, which leaves the field of health care poised to lose key leaders and employees to retirement at a time when patient care has grown more complex. This means health care will lose its core of key employees at a time when skilled leadership and specialized knowledge is most needed and directly impacts health care's ability to deliver quality care. Operational succession planning (OSP) may be one solution to manage this looming challenge in health care, as the process identifies and develops the next generation of leadership. Thus, this exploratory national study used a quantitative and cross-sectional design to examine the relationship between OSP and employee turnover. Demographic and 10-point Likert scale data were collected from n = 66 medical practices, using an online survey instrument. Data were analyzed using various descriptive and inferential statistical methods. Distribution (frequency and chi-square) analyses of the study sample, one-way analysis of variance (ANOVA), and regression analyses were performed across seven demographic characteristics of the medical practices: Specialty, Ownership Structure, Number of full-time equivalent (FTE) Physicians, Number of FTE Clinical Employees, Number of FTE Nonclinical Employees, Number of FTE Employees Left Position, and Region. Study results provided statistically significant evidence to support the relationship between OSP and employee turnover, highlighting that OSP was associated with lower employee turnover. The finding suggests that OSP can serve as an effective mechanism for increasing employee retention.

Details

The Contributions of Health Care Management to Grand Health Care Challenges
Type: Book
ISBN: 978-1-80117-801-3

Keywords

Article
Publication date: 1 October 2006

Pervaiz Alam and Charles A. Brown

This paper seeks to investigate whether disaggregated bank earnings better predict next period earnings than contemporaneous aggregated earnings.

2113

Abstract

Purpose

This paper seeks to investigate whether disaggregated bank earnings better predict next period earnings than contemporaneous aggregated earnings.

Design/methodology/approach

Fairfield et al.'s (1996) regression approach is used for predicting next period's return of equity (ROE) and stock prices using disaggregated earnings data.

Findings

The results show that the mean adjusted R‐square significantly increases with the progressive disaggregation of earnings. The results also demonstrate that disaggregated components are better able to predict next period earnings and stock prices than aggregated earnings.

Research limitations/implications

The findings support the US Financial Accounting Standard Board's contention that disaggregated information may be more useful than aggregated information for investment, credit, and financing decisions.

Practical implications

Investors and analysts should use disaggregated income statement information in predicting next period earnings and stock prices for the banking industry.

Originality/value

The main contribution of this paper is to demonstrate how fully disaggregated earnings explain ROE, stock prices, and analysts forecast error in the banking industry.

Details

Review of Accounting and Finance, vol. 5 no. 4
Type: Research Article
ISSN: 1475-7702

Keywords

Article
Publication date: 12 February 2020

Jeen-Su Lim, Phuoc Pham and John H. Heinrichs

Firms are increasingly using social media platforms to engage with individuals, as it is recognized that a firm’s social media activity outcomes, such as number of user comments…

5806

Abstract

Purpose

Firms are increasingly using social media platforms to engage with individuals, as it is recognized that a firm’s social media activity outcomes, such as number of user comments, followers or likes, impact brand equity. This study aims to evaluate both the extent that these social media activity outcomes relate to brand equity and the classification of firms which benefit from the various types of social media activity outcomes.

Design/methodology/approach

This study identifies various components of social media activity and then captures specific social media activity outcomes for Fortune 500 firms. This study then performs a hierarchical regression analysis to assess the impact of the various social media activity outcomes on brand equity.

Findings

The results show significant relationships of social media activity outcomes with brand equity. The activity outcome measures of social networking and content communities platform are significantly related to a firm’s brand equity. This study also found that the social media activity outcome levels of various types of social media platforms are contingent upon a firm’s brand country of origin and industry classification type.

Practical implications

The results help firms gain a clearer view of potential applications of social media platforms, thus improving their understanding of the impact of social media. This study can enhance social media strategy and design tactics to improve brand equity. The findings can also guide firms in evaluating which social media activity outcomes enhance brand equity.

Originality/value

The results highlight that activity outcomes in a firm’s selected content communities platform and social networking platform are related to brand equity.

Details

Journal of Product & Brand Management, vol. 29 no. 7
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 1 July 2002

John E. Cresson, R. Mike Cudd and Tom J. Lipscomb

Notes the popularity of index funds with US investors, refers to research on fund performance compared with indexes and presents a study comparing daily returns of S&P 500 index…

637

Abstract

Notes the popularity of index funds with US investors, refers to research on fund performance compared with indexes and presents a study comparing daily returns of S&P 500 index funds with the index itself. Explains the methodology and presents the results, which show that the funds “fall well short” of tracking the index efficiently; although larger funds and/or those with longer term managers have a better tracking performance. Considers consistency with other research and the implications of the findings.

Details

Managerial Finance, vol. 28 no. 7
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 4 January 2022

Satish Kumar, Tushar Kolekar, Ketan Kotecha, Shruti Patil and Arunkumar Bongale

Excessive tool wear is responsible for damage or breakage of the tool, workpiece, or machining center. Thus, it is crucial to examine tool conditions during the machining process…

Abstract

Purpose

Excessive tool wear is responsible for damage or breakage of the tool, workpiece, or machining center. Thus, it is crucial to examine tool conditions during the machining process to improve its useful functional life and the surface quality of the final product. AI-based tool wear prediction techniques have proven to be effective in estimating the Remaining Useful Life (RUL) of the cutting tool. However, the model prediction needs improvement in terms of accuracy.

Design/methodology/approach

This paper represents a methodology of fusing a feature selection technique along with state-of-the-art deep learning models. The authors have used NASA milling data sets along with vibration signals for tool wear prediction and performance analysis in 15 different fault scenarios. Multiple steps are used for the feature selection and ranking. Different Long Short-Term Memory (LSTM) approaches are used to improve the overall prediction accuracy of the model for tool wear prediction. LSTM models' performance is evaluated using R-square, Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) parameters.

Findings

The R-square accuracy of the hybrid model is consistently high and has low MAE, MAPE and RMSE values. The average R-square score values for LSTM, Bidirection, Encoder–Decoder and Hybrid LSTM are 80.43, 84.74, 94.20 and 97.85%, respectively, and corresponding average MAPE values are 23.46, 22.200, 9.5739 and 6.2124%. The hybrid model shows high accuracy as compared to the remaining LSTM models.

Originality/value

The low variance, Spearman Correlation Coefficient and Random Forest Regression methods are used to select the most significant feature vectors for training the miscellaneous LSTM model versions and highlight the best approach. The selected features pass to different LSTM models like Bidirectional, Encoder–Decoder and Hybrid LSTM for tool wear prediction. The Hybrid LSTM approach shows a significant improvement in tool wear prediction.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 7
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 1 June 2001

Casey L. Donoho, Michael J. Polonsky, Scott Roberts and David A. Cohen

Confirms the empirical test of Hunt and Vitell’s general theory of marketing ethics by Mayo and Marks across four cultures. Uses path analysis to show the core relationships of…

1767

Abstract

Confirms the empirical test of Hunt and Vitell’s general theory of marketing ethics by Mayo and Marks across four cultures. Uses path analysis to show the core relationships of the general theory of marketing ethics were successfully replicated using over 1,500 students from seven universities in the USA, Canada, the Netherlands, and Australia. States that tomorrow’s managers appeared to use a more deontological approach to making ethical judgements about personal selling. Extends its original research by confirming the positive relationship between the probability and the desirability of consequences. Concludes that, although the model was originally intended to explain management ethical decision making, the study shows that it may be possible to generalize as to how individuals make ethical life decisions.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 13 no. 2
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 1 December 1997

William C. Johnson and Keith Bhatia

Asserts that innovation, which plays a key role in product and process improvement in many companies, is the very lifeblood of high technology firms. Considers that because…

2942

Abstract

Asserts that innovation, which plays a key role in product and process improvement in many companies, is the very lifeblood of high technology firms. Considers that because technological change is a function of the economic growth model then technological substitution must be a sub‐function of this model. The ability to forecast technological substitution in the long‐term macro view enables strategic planners to develop trends for their specific technological application. Begins with a brief statement of the problem, followed by a discussion of the theoretical framework, review of related literature, methodology, findings, discussion of findings and their implications and, finally, recommendations to practitioners.

Details

Journal of Business & Industrial Marketing, vol. 12 no. 6
Type: Research Article
ISSN: 0885-8624

Keywords

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