Search results

The concept of modularity has gained considerable traction in technology studies as a way to conceive, describe, and innovate complex systems, such as product design or organizational structures. In the recent literature, technological modularity has often been intertwined with business model innovation, and scholarship has started investigating how modularity in technology affects changes in business models, both at the cognitive and activity system levels. Yet we still lack a theoretical definition of what modularity is in the business model domain. Business model innovation also encompasses different possibilities of modelling businesses, which are not clearly understood nor classified. We ask when, how, and if modularity theory can be extended to business models in order to enable effective and efficient modelling. We distinguish theoretically between modularity for technology and for business models, and investigate the key processes of modularization and manipulation. We introduce the basic operations of business modelling via modular operators adapted from the technological modularity domain, using iconic examples to develop an analogical reasoning between modularity in technology and in business models. Finally, we discuss opportunities for using modularity theory to foster the understanding of business models and modelling, and develop a challenging research agenda for future investigations.

Analyzing how the post-Soviet transition interacts with the crisis of market finance exhibits a new “greed-based economic system” in the making. Asset grabbing is at its core and hinders capital accumulation. All the various privatization schemes have triggered off asset grabbing, asset stripping, and asset tunneling. A global contagion of such behavior has spread the power and cohesion of managers/shareholders (oligarchs) worldwide. Financial asset grabbing is less straightforward, though much widespread, and operates in financial markets through new financial products, securitization, firms buying their own shares, hedge funds, stock price manipulation, short selling, and the distribution of stock options.Shadow banking, and more generally a global informal economy, results from grabbing strategies in financial markets that breach the formal rules of capitalism. In alleviating and circumventing the rules, the oligarchy paves the way for economic malpractices and crime, calling capitalist laws into question.In such context, systemic greed underlies unconstrained maximization of relative wealth, for which asset grabbing is a rational means, in a winner-take-all economy. At the present stage of our research, a greed-based economy cannot yet be theoretically defined as a transition either to a new phase of capitalism or to another different system.

In this article, we consider the evolution of the US stock market from the 1770s through the early 20th century. Adopting an institutional lens, we conceive of the stock market as an institutional field constituted by socially constructed cultural logics and myths. We focus on the role of the US government as an actor embedded in the stock market field and sharing in the prevailing field logics. Tracking the dominant logics of the stock market field at different historical periods, we examine how these logics impacted government regulatory action upon the stock market, and how those government regulations affected the subsequent logics of the stock market field. Our research included both quantitative content analysis of articles in historical newspapers and qualitative historical analysis of multiple primary and secondary accounts of stock market problems and solutions across more than 150 years. We document how government regulatory action both reflects and shapes the logics of the stock market field.

This study aims to examine the influence of related party transactions (RPTs), political connection (POLCON), board of directors (BOD), institutional ownership (IO), information asymmetry, audit quality (AQ), and leverage (LEV) on real earnings management (REM). The company used in this research is manufacturing companies listed on the Indonesian Stock Exchange from 2017 to 2019. The number of research samples is 192 firm years data. This study shows that RPTs, POLCON, IA, and LEV affect REM. In contrast, the BOD, IO, and AQ do not affect REM.

This chapter investigates whether earnings management activities increase the likelihood of receiving a qualified audit report. We have carried out this study with a sample of Spanish companies for the period 2001–2009. Previous research on the issue is not only scarce but also suffers from methodological pitfalls. In all cases, researchers have followed a matched sample approach without considering the implications of such approach for the statistical analysis. Despite its great popularity among researchers in accounting, the use of matched-based sampling is susceptible to produce technical errors in the statistical analysis. The main problem consists in the generalization of results obtained with a nonrandom sample to the whole population of firms. Our results do not show a significant relationship between EM and qualified audit reports. We have also addressed whether the international financial crisis has affected our results and concluded that Spanish companies seem to have used EM during the crisis to push down earnings, probably expecting to take advantage of the positive earnings surprises during the postcrisis period. Nevertheless, the financial crisis has not changed the nature of the EM-qualified opinions relationship.

This paper provides evidence on the impact of regulatory environment on financial reporting quality of transitional economies. This study compares the financial reporting quality of Hong Kong firms which are cross-listed in mainland China with those of Hong Kong firms cross-listed in China using specific earnings management metrics (earnings smoothing, timely loss recognition, value relevance and managing towards earnings targets) under pre- and post-IFRS regimes.

The financial reporting quality of Chinese A-share companies and Hong Kong listed companies are examined using earnings management measures. Using 2007 as base year, the study used a cumulative of −5 and +5 years of convergence experience which provide a total of 3,000 firm-year observations. In addition to regression analyses, we used the difference-in-difference analysis to check for the impact of regulatory environments on earnings management.

Through the lens of contingency theory, our results indicate that the adoption of the new substantially IFRS-convergent accounting standards in China results in better financial reporting quality evidenced by less earning management. The empirical results further shows that accounting data are more value relevant for Hong Kong listed firms, and that firms listed in China are more likely to engage in accrual-based earnings management than in real earnings management activities. We established that different earnings management practices that are seemingly tolerable in one country may not be tolerable in another due to level of differences in the regulatory environments.

The findings show that Hong Kong listed companies’ exhibit higher level of financial reporting quality than Chinese listed companies, which implies that the financial reporting quality under IFRS can be significantly different in regions with different institutional, economic and regulatory environments. The results imply that contingent factors such as country’s institutional structures, its extent of regulation and the strength of its investor protection environments impact on financial reporting quality particularly in transitional and emerging economies. As such, these factors need to be given appropriate considerations by financial reporting regulators and policy-makers interested in controlling earnings management practices among their corporations.

This study is a high impact study considering that China plays a significant role in today’s globalised economy. This study is unique as it the first, that we are aware of, to compare real earnings activities against accrual-based earnings management in pre- and post-IFRS adoption periods within the Chinese and Hong Kong financial reporting environments, distinguishing between cross-listed and non-cross-listed firms.

The London Interbank Offered Rate (LIBOR) is considered to be the most important interest rate in finance upon which trillions in financial contracts are decided. In 2008, it was revealed that the LIBOR traders were rigging the interest rates. Yet, there is an unresolved question that regulators and banking officials did not address in their quest to seek answers to the fraud: Were the banks under financial strain when they underreported their LIBOR rates? To answer this question, the article posits that the pressure to meet market expectations led the banks to experience financial strain. Data were gathered from 2004 to 2008 on the banks that were involved in the fraud (fraud banks) and matched with a control group of non-fraud banks. The results from a logistic regression model found sufficient statistical evidence to support the claim that fraud will be greater in banks characterized by a higher level of organizational complexity. Variables such as percent of outside directors, board members on the audit committee, and number of employees were all found to be statistically significant. These variables may offer key insights into detecting and preventing frauds in banks.

The purpose of the financial statements is to present the situations of the enterprises, such as the financial situation, results of operations, etc., in the decision-making processes to the related parties in a suitable, comparable, and realistic manner. In recent years, professional frauds in enterprises have been seriously reflected in financial statements and this has resulted in the manipulation of financial information.

In this study, we aim to determine financial firms, which might manipulate the financial information, by applying the Beneish model and then determine the financial indicators of possible financial statement manipulation, using logistic regression. For this purpose, companies included constantly in Borsa İstanbul-50 (BIST-50) 2015, 2016, and 2017 were examined. After the enterprises which have the possibility of financial manipulation are determined by the Beneish model, it is understood that there is a positive relationship between the probability of manipulating financial information and the Asset Quality Index and Sales, general and administrative expenses index.

The practice of real earnings management (REM) or earnings manipulation through the company’s real activities is increasingly widespread. Companies that want to achieve profit targets have switched from accrual-based to REM, especially in the firm family owner, who is an active manager. Our study aims to determine whether family ownership in a company will be a factor in the existence of greater REM practices. The authors collected 2,613 observational data from non-financial companies on the Indonesia Stock Exchange (IDX) during 2013–2018 using a purposive sampling method and then analyzed using panel random effect (RE) regression. The results show that family ownership significantly negatively affects abnormal operating cash flow which means that family firms are more likely to reduce operating cash flow to report higher income than non-family firms. Thus, it can be concluded that family firms in Indonesia are more likely to be involved in REM than non-family firms.

This study examines how the structure of referent networks, or the social network defined by knowing others’ reward levels, affects perceptions of distributive justice. The homogeneity of rewards in the referent network, the amount of inequality in the referent network, and an individual’s reward level are all associated with distributive justice perceptions. Several moderating relationships are also examined.

We relied on data from a controlled laboratory experiment to test a series of theoretically derived hypotheses.

The study shows that several aspects about the structure of the referent network are important for shaping perceptions of distributive justice. Specifically, the reward heterogeneity and amount of inequality in the network are found to be negatively associated with distributive justice, while reward levels are found to be positively associated with distributive justice. Furthermore, the effect of reward levels on distributive justice is moderated by both (i) the presence of a referential standard for rewards and (ii) the amount of inequality in the network.

While being among the first studies to demonstrate effects of referent networks on perceptions of fairness, it is unclear how group memberships combine with referent network effects and which factors may blur these relationships in uncontrolled environments. Subsequent scholarship on the effect of referent networks on justice perceptions should leverage multiple data sources.

Research on the effects of referents on justice perceptions has focused on particular referent individuals. We recast this issue in terms of referent networks, which highlights the empirical reality that individuals have a variety of sources or alters which could operate as referents.