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While the existing studies largely suggest that valuation uncertainty benefits acquirers, who apply discounts to targets' value attributable to information asymmetry, the authors argue that the opposite may be the case.

Through multivariate econometric analysis of transaction data, the authors establish the link between the degree of valuation uncertainty measured by targets' track of public listing and acquisition premia. The authors use text-mining tools to measure acquirer–target similarity and control for its role in intermediating the posited empirical relationships.

Having analyzed 618 acquisitions involving listed targets from China, the authors find that acquirers pay higher valuation premia for the more recently listed and relatively younger companies than for those with a longer history since floatation. Similar patterns apply to valuation multiples. Higher valuations are partially attributable to premia for control, as acquirers are likelier to buy a majority stake in the recently listed firms, especially if the latter are similar to them. Such transactions take less time to complete and involve a transfer of larger share blocks despite the higher degree of information asymmetry and a frequent lack of targets' operational profitability. The authors also observe a significant premium for target–acquirer similarity: acquirers appear to rush deal completion due to possible overestimation of targets' potential and familiarity bias.

The authors show that acquisition premia may be driven by acquirers' proclivity to place risky investment bets on the growth potential of opaque targets. This pattern may partially explain frequent failures of mergers and acquisitions (M&A).

This study aims to analyze the development of digital market characteristics particularly focusing on how the strategic choices of platforms are not fully reflected in pricing. In addition, the implications for the development of theories of harm are investigated to explore the necessity of a relevant market definition in assessing infringement and evaluating the adequacy of Indonesian competition law.

This study is a legal analysis that uses statutory approaches, cases, comparative law and the development of theories of harm in digital mergers. The case approach is conducted by analyzing three cases decided by the Indonesia Business Competition Supervisory Commission. This approach provides insight into the response of Komisi Pengawas Persaingan Usaha concerning the merger and acquisition cases in the digital era as well as the provision of different analyses in conventional markets. However, competition can be potentially damaged in digital markets and a comparative law approach is taken by analyzing digital merger cases decided by authorities in other countries.

Results reveal that the digital market has created a “relevant market” that is challenging and blurred due to multi-sided network effects and consumer data usage characteristics. Platform-based enterprises’ prices fluctuate due to the digital market’s network effect and consumer data statistics. Smartphone prices depend on the number of apps and consumer data. Neoclassical theory focusing on product markets and location applied in Indonesia must be revised to establish a relevant digital economy market. To evaluate digital mergers, new harm theories are needed. The merger should also protect consumer data. Law Number 27 of 2022 on Personal Data Protection and Government Regulation on the Implementation of Electronic Systems and Transactions protects online consumers, a basic step in due diligence for digital mergers. The Indonesian Government should promptly strengthen the notion of “relevant markets” in the digital economy, which could lead to fair business competition violations like big data control. Notify partners or digital merger participants of the accessibility of sensitive data like transaction history and user location.

The development of digital market characteristics has implications for developing theories of harm in digital markets. Indonesian competition law needs to develop such theories of harm to analyze the potential for anticompetitive digital mergers in the digital economy era.

Madan Mohanka set up Tega Industries Ltd in 1976 to manufacture abrasion-resistant rubber mill lining products used in the mining and mineral processing industries. In 2006, as part of its inorganic expansion strategy, Tega bought a mill-liner company in South Africa. Buoyed by this growth, two acquisitions were made in Australia and Chile in the year 2011. However, post-acquisition, several managerial, legal and commercial problems crept up in its manufacturing facilities in Chile, leading to financial downturn in Tega's fortunes in 2016 and compelling it to either plan a revival or divest its interest in its Chilean Plant.

This study aims to investigate whether accounting-related litigation is associated with a break in the client’s earnings string and the auditor’s response to a break in the earnings string.

The authors use regression models on a sample of publicly-traded USA companies with earnings strings.

The authors find that clients’ earnings string breaks are associated with increased accounting litigation risk and audit fees. The results are more prevalent for larger breaks.

The findings suggest auditors anticipate string breaks by clients which implies that audit fee research should consider earnings string characteristics in the fee models.

The auditor’s access to private information allows them to anticipate string breaks and potential increase in litigation risk.

An earnings string break represents a convergence of concerns highly relevant to the auditor: more users relying on the financial statements with greater expectations, increased likelihood of losses to those users, an environment where the likelihood of misstatement may increase, and explicitly stated professional responsibilities in response to the latter. Despite that, and a rich earnings string literature, prior studies have not directly examined auditors’ response to a client’s string break.

This case describes the growth of ReNew Power during its first decade of operation. Sumant Sinha, a first-generation entrepreneur and former banker, founded the company, which grew from a modest generator-cum-developer of wind energy-based electricity to one of India's largest companies in the renewable energy sector. With the entry of large, well-funded players such as Tata Power and Adani Green into the Indian renewable sector by the end of 2020, Sinha had to make a strategic decision: should ReNew continue to organically scale up its presence in an increasingly competitive yet expanding Indian renewable energy sector, should it diversify geographically, or should it pursue emerging opportunities for vertical or horizontal integration within the sector? The case provides an opportunity to discuss how alternative business models and competitive scenarios may facilitate or inhibit the growth of a player in the renewable energy sector.

The purpose of this paper is to study the effects of sports sponsorship on brand equity using two managerially related outcomes: price premium and market share.

This study uses a best–worst discrete choice experiment (BWDCE) and compares the outcome with that of the purchase intention scale, an established probabilistic measure of purchase intention. The total sample consists of 409 fans of three soccer teams sponsored by three different competing brands: Nike, Adidas and Puma.

With sports sponsorship, fans were willing to pay more for the sponsor’s product, with the sponsoring brand obtaining the highest market share. Prominent brands generally performed better than less prominent brands. The best–worst scaling method was also 35% more accurate in predicting brand choice than a purchase intention scale.

Future research could use the same method to study other types of sponsors, such as title sponsors or other product categories.

Sponsorship managers can use this methodology to assess the return on investment in sponsorship engagement.

Prior sponsorship studies on brand equity tend to ignore market share or fans’ willingness to pay a price premium for a sponsor’s goods and services. However, these two measures are crucial in assessing the effectiveness of sponsorship. This study demonstrates how to conduct such an assessment using the BWDCE method. It provides a clearer picture of sponsorship in terms of its economic value, which is more managerially useful.

This paper investigates whether the audit fees of Chinese listed firms are associated with the share pledging practice of the firm’s controlling shareholders.

This study uses the audit pricing model to estimate the association between the share pledging of listed firms and audit fees. Cross-sectional analysis is conducted on a large sample of Chinese listed firms during the period 2004 to 2019. The authors further test the moderating effects of listing on the Main Board, state ownership and abnormal audit report lag on the association between share pledging and audit fees. The results remain robust to various endogeneity tests including two-stage least squares instrumental variable analysis, entropy balancing analysis and difference-in-difference analysis.

The study finds that audit fees are positively associated with the proportion of shares pledged by the listed firm’s controlling shareholder in China. The results also provide new evidence that the positive association between audit fees and the share pledging of controlling shareholders could be mitigated if the firm is listed on the Main Board and/or it is a state-owned enterprise. In contrast, pledged firms with abnormal audit report lag are found to have higher audit fees than their pledged counterparts without the excessively long audit delay.

Findings of this study have important practical implications to those charged with governance, as boards need to comprehensively understand the adverse consequences of share pledging when pursuing it as the firm’s major source of financing. The study also has policy implications for stock market regulators such as the China Securities Regulatory Commission in China. Regulators could consider developing a threshold-based share pledging disclosure and pledge ratio requirements based on factors such as a firm’s listing status and ownership structure.

This study provides new evidence on the audit-related consequences of share pledging in a significant capital market. Findings of this study also enrich the existing audit literature by introducing the share pledging activities of controlling shareholders into the audit pricing decision-making model.

After reading and analyzing the case study, the students would be able to understand the critical role of the International Financial Reporting Standards (IFRS)-compliant accounting principles in facilitating strategic alliances between publicly traded international corporations and emerging companies in informal business environments, design the company’s accounting system to ensure the application of the accounting standards contained in IFRS and understand the accounting process for properly recording a company’s transactions.

This case study deals with Giulia’s decision to take on the proposal of a conglomerate to acquire a 45% stake in her travel agency, Know Cuba First Travel Agency (KCF). Giulia was an Italian entrepreneur based in Havana, Cuba. She has dealt with informal business practices in the Cuban tourism industry. However, Foreign Investments Ltd., a publicly listed company, needs formal accounting if investing in the venture. If Giulia agrees with the proposal, an accounting information system would have to be implemented to comply with the investor’s requirements.

This case study is suitable for financial accounting undergraduate courses.

Teaching notes are available for educators only.

CSS 1: Accounting and finance.

The authors provide a novel interpretation of the relationship between skill demand and labour market concentration based on the training rationale.

The authors use a novel data set on Italian online job vacancies during 2013–2018 to analyse the relationship between labour market concentration and employers' skill demand. The authors construct measures of market concentration and skill intensity in the local labour market. The authors regress the measures of skill demand on market concentration, controlling for sector, occupations and other features of the labour market. The authors also use the Hausman–Nevo instrument for market concentration.

The authors show that employers in a highly concentrated labour market demand competencies associated with the ability of workers to learn faster (e.g. social skills) rather than actual knowledge. They also require less experience but higher education. These results are consistent with the hypothesis that employers in more concentrated labour markets are more prone to train their employees. Instead of looking for workers who already have job-specific skills, they look for workers who can acquire them faster and efficiently. The authors provide a theoretical framework within which to analyse these aspects as well as providing a test for the relevant hypotheses.

In addition to cross-countries differences in labour market regulations, the authors' findings suggest that policy authorities should consider the local labour market structure when studying workforce development programmes aimed at bridging the skill gap of displaced workers. Moreover, the authors show that market concentration can have relevant implications for human resource (HR) managers by affecting their recruitment behaviour through the demand for skills. In fact, concentrated markets tend to favour firms' collusion and anti-competitive behaviour that could strongly affect HR management practices.

The authors' paper innovates on the literature in a number of ways. First, the authors provide evidence of local labour market concentration in Italy. Second, the authors provide evidence of skill demand at the local level using a detailed skill taxonomy that goes beyond the classical distinction between high and low skills. Third, and most importantly, the authors provide evidence of the relationship between skill demand and labour market concentration. By analysing detailed skills and competencies, the authors take one step beyond understanding the features of labour demand in monopsonistic markets.