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The study aims at examining the relationship between the forms of misclassification practices, namely expense shifting and revenue shifting. In particular, the study aims at identifying the form of shifting that has been preferred by firms to meet the industry average profitability.

Core earnings and operating revenue expectation models are used to measure expense shifting and revenue shifting, respectively. The panel fixed-effects models are used to control for unobserved heterogeneity across industries and time.

Based on a sample of Bombay Stock Exchange-listed firms, the author finds that firms prefer expense shifting over revenue shifting to meet industry average profitability, implying that firms choose the shifting tool based on the relative advantage. Further, the findings deduced from the empirical results demonstrate that firm life cycle and mandatory adoption of International Financial Reporting Standards (IFRS) moderates the relationship between shifting forms and industry average profitability. However, the negative impact of IFRS on shifting practices is found to be less pronounced among BigN audit firms.

The study is among the pioneering attempt to document the substitution relationship between shifting forms. It is the first study that examines a form of classification shifting, where gross profit and core earnings both change as an effect of misclassification.

This paper aims to provide evidence of an unintended observable consequence of International Financial Reporting Standards (IFRS) adoption by examining opportunistic use of earnings management through revenue as well as expense items classification shifting in the year of transition.

To document classification shifting, the authors take advantage of the Korean mandatory IFRS adoption in 2011, when broad discretion was given to publicly traded companies’ managers to present operating profits.

It is found that companies strategically use both revenues and expenses to manage core earnings at the time of transition by shifting other income as a common tactic to improve their operating performance and special expenses just to meet or beat earnings targets.

Given the concerns of the Securities and Exchange Commission (SEC) about classification shifting behavior and the debate over whether the SEC should mandate the use of IFRS for US companies, the findings of this study are timely and contribute to authors’ understanding of the unintended consequences of mandatory IFRS adoption.

The mobilization of funds was severely affected with the linking of their funds mobilization to their internal owned funds. Therefore, the purpose of the study is to identify the mediating effects of funds with profitability and to focus on the funding strategy to maximize profits in the non‐banking financial sector in India.

The paper discusses various approaches to maximize profits. The study also examines trends in sources of funds using key financial variables. A formative model to capture the mediating effects of funds with profitability is tested using structural equation modeling (SEM) technique. The paper includes various financial variables including external and internal funds. These variables' relationship with the core operating profit is tested in a graphical structural equation environment using package software.

Mediating effects of borrowings with profitability are established. The paper concludes that the gap in funds can be matched effectively through mobilization of funds of short duration. The study establishes that a combination of fund raising strategies such as flotation of debentures, bank borrowings and short term funding program can affect profits.

The study is confined to non‐bank finance companies in a particular state in India. The geographical and demographical differences may affect generalization. However, care has been taken to match the geographical and demographical characteristics of the country.

The findings of this paper are of immense value for industry managers, lenders and for financial forecasting within the sector. New entrepreneurs can use the findings in their funding plans.

Prior studies document that managers engaged in shifting of non-operating revenue to operating revenue (revenue shifting) and shifting of operating expenses to non-operating expenses (expense shifting (ES)) within income statement to report inflated operating profits of firms. This study aims to identify the factors affecting revenue shifting and ES.

The operating revenue model (Malikov et al., 2018) and the core earnings expectation model (McVay, 2006) are used for measuring revenue shifting and ES, respectively. The panel data regression models are used to analyze the data for this study.

The study results show that large and old firms are engaged in revenue shifting, whereas small and young firms prefer ES over revenue shifting for reporting inflated operating profits. These results imply that firms choose the shifting strategy based on relative advantage and ease in execution. The results are robust after controlling for accruals earnings management, real earnings management and endogeneity bias.

It suggests investors minutely investigate the operating performance metrics of initial public offering firms that are relatively small and young while buying their shares. Besides, findings suggest accounting standard setters make more mandatory disclosure requirements for recording expense and revenue items in the income statement to curb this corporate misfeasance of classification shifting.

This is among the earlier attempts to identify firm-specific factors that incentivize firms to prefer one form of shifting over another. Second, the study jointly examines both forms of shifting by taking a uniform sample of firms over the same period. Most of the prior studies have examined one form at a time.

The authors aim at investigating different forms of classification shifting (CS). CS is a novel form of earnings management under which managers misclassify income statement line items and cash flow statement line items with an intent to report favorable operating performance of firms. In particular, the authors check the existence of revenue misclassification, expense misclassification and cash flows misclassification among Indian firms by taking the uniform sample of firms over a single period.

Operating revenue model (Malikov et al., 2018), core earnings expectation model (McVay, 2006) and operating cash flows model (Roychowdhury, 2006) are employed for measuring revenue misclassification, expense misclassification and cash flows misclassification, respectively. The panel data regression models are used to analyze the data for this study.

Based on the sample of 12,870 Bombay Stock Exchange (BSE) listed firm-years observations between 2010 and 2018, we find that, on average, Indian firms are engaged in revenue misclassification rather than expense misclassification to report inflated core earnings. Firms are found to be engaged in cash flows misclassification too. Besides, we find that magnitude of shifting is greater among larger firms. Results also establish that adoption of Ind AS increases the scope of shifting practices. These results are based on several robustness checks.

The results suggest that investors conduct a comprehensive review of the items of financial statements before using them in their portfolio valuation. It suggests auditors check the basis of revenue classification and standard-setting authorities, like ICAI in India, to make more mandatory disclosure requirements for classification of revenues and cash flows. It suggests lenders not to make lending decisions by looking at the operating performance metrics, as CS is the most preferred tool to positively influence the perception of lenders toward operating performance.

It is the first study that investigates different forms of classification shifting jointly for a sample of firms. Most of the earlier studies have examined one kind of classification shifting at a time. This study adds to the existing literature on earnings management by documenting that some firm-specific factors pressurize firms to prefer one form of shifting over another to report inflated core earnings.

The purpose of this paper is to examine the relationship between working capital management (WCM) and firm performance in the context of the Chinese economy. Specifically, it investigates the effects of ownership structures as an internal factor and of institutional environments (IE) as an external factor shaping this relationship.

The study applies two-way fixed effect regression models to a sample of Chinese listed manufacturing firms for the period of 2010 to 2017. WCM is measured by cash conversion cycles (CCC); profitability is measured by core profit ratios; ownership structures are classified based on state-owned enterprises (SOEs) and non-SOEs; and IEs are measured from dimensions of factor markets (FM) and legal systems (LS).

First, the results show a negative relationship between CCC and firm performance. Second, the negative relationship between CCC and profitability is significant for non-SOEs but not for SOEs. Third, both the FM and LS strengthen the negative association between CCC and profitability. Fourth, the moderating effect of FMs and LSs is evident for non-SOEs only. The results hold when using alternative measures of WCM and profitability and while controlling for additional variables.

The current study shows that while WCM has a significant effect on the profitability of Chinese firms, such an effect greatly depends on the ownership structures and IE involved. The results thus offer important implications in helping the Chinese government create better IEs and in allowing manufacturing firms to improve upon their WCM practices.

As the pharmaceutical industry faces a more changing environment, talent management appears to be a key differentiating element. Key talent retention strategies must be assessed during the mergers and acquisitions negotiations and implemented during post-acquisition integration. The purpose of this paper is to show how this can be done.

The paper adopts a single-case approach to show how talent can be managed during the post-acquisition phase after a takeover. Focussing on the acquisition of Genentech by Roche in 2009, it demonstrates how the Swiss pharmaceutical giant overcame a difficult initial start to the acquisition by adopting a nuanced talent management strategy.

The findings from this paper demonstrate best practice management and retention strategies needed to retain key talent. A decade after the acquisition, the Roche–Genentech tie-up is cited as one of the most successful in the life sciences industry. Roche’s talent management strategy has gained particular applause with Genentech consistently being named one of the best places to work (Wharton Work/Life, 2016). Investors are equally content. Sales of Genentech’s main products have tripled to $21bn since the acquisition.

This paper offers a concise and clear outline of the HR strategies used by Roche to ensure the successful integration of Genentech. During the takeover, talent management issues had the potential to be particularly acute given the highly independent DNA of Genentech’s organisation structure. As the pharmaceutical industry faces a more changing environment, efficient talent management appears to be a key differentiating element.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This study aims to investigate the impact of business strategy on the classification shifting practices of Indian firms.

The study considered cost leadership and differentiation strategy. Two forms of classification shifting, namely, expense misclassification and revenue misclassification have been examined in this study. Panel data regression models are used to analyze the data for this study.

The results show that managers of cost leadership strategy firms are more likely to be engaged in expense misclassification, whereas firms following differentiation strategy are likely to be engaged in revenue misclassification. Subsequent tests of this study suggest that firms following a hybrid strategy (mix of cost leadership and differentiation) prefer revenue misclassification over expense misclassification for reporting inflated operating performance. These results imply that firms prefer the shifting tool based on the ease and need of each shifting strategy. These results are consistent with several robustness measures.

The results suggest that investors should understand business strategy before developing insights about the accounting quality of firms. Investors should conduct a comprehensive review of income statement items before using items for portfolio evaluation.

To the best of the authors’ knowledge, this is the first study to examine the association between business strategy and classification shifting.