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When purchasing digital content (DC), consumers are typically influenced by various information sources on the website. Prior research has mostly focused on the individual effect of the information sources on the DC choice. To fill the gap in the previous studies, this research includes three main effects: information cascades, recommendations and word of mouth. In particular, the purpose of this paper is to focus on the interaction effect of information cascades and recommendations on the number of software downloads.

The authors use the panel generalized least squares estimation to test the hypotheses by using a panel data set of 2,000 pieces of software at download.cnet.com over a month-long period. Product ranking and recommendation status are used as key independent variables to capture the effects of information cascades and recommendations, respectively.

One of this study’s findings is that information cascades positively interact with recommendations to influence the number of software downloads. The authors also show that the impact of information cascades on the number of software downloads is greater than one of the recommendations from a distributor does.

Information cascades and recommendations have been considered as the primary effects for online product choices. However, these two effects typically are not considered together in one research. As previous studies have mainly focused on each effect, respectively, the authors believe that this study may fill the gap by examining how these effects are interacted to one other to influence customers’ choices. The authors also show that the impact of information cascades on the number of software downloads is greater than one of the recommendations from a system does.

This paper presents an Internet‐based virtual machining system which applies virtual manufacturing technology to machining processes of CNC machining center. The system is implemented to execute digital machining and verification, to transmit the NC code data to related machining centers after confirming the properness of virtual machining, and to manipulate the machine through the Internet. Also, this research proposes a basic structure that can monitor the status of machines via the Internet. By applying simulation techniques for machining processes, a simple manipulation and monitoring system of machining centers is realized. This entire system is constructed by adopting the latest information technology such as object‐oriented method, middleware, Internet programming, and client‐server structure.

This study aims to examine how information asymmetry, which refers to an information gap between a firm’s management and its investors regarding the firm’s true value, influences firms’ dividend and investment decisions in the restaurant industry. This study also investigated the moderating role of a firm’s level of franchising in the relationship between information asymmetry and these behaviors of restaurant firms.

This study used generalized method of moments panel regression analyses. Principal component analysis was also used to create a composite index of information symmetry.

This study demonstrated that in asymmetric information environments, restaurant managers tend to reduce dividend payments. In addition, this study showed that information asymmetry leads to restaurant managers’ investment inefficiency. However, the investment inefficiency of the restaurant industry was found to decrease as restaurant firms’ level of franchising increases.

Firms’ dividends and investment decisions are of great interest to investors because these decisions heavily influence investors’ wealth-maximization goals. By shedding light on the previously unrecognized determinants of dividend and investment behaviors in the restaurant industry, this study helps individual investors to make informed investing decisions.

Conflicting arguments can be made regarding the impact of asymmetric information environments on the dividend and investment behaviors of restaurant firms. This study aimed to verify these as-yet unclear relationships in the restaurant industry.

This paper aims to examine the association between financial reporting quality in target companies and acquisition profitability in a sample of 280 acquisitions in South Korea between 2002 and 2011.

Using the accruals quality measure developed by McNichols (2002) as a proxy for financial reporting quality, it was found that high-quality financial reporting in target companies is associated with more profitable acquisitions for the acquirer, as measured by the acquirer’s announcement returns.

It was found that high-quality financial reporting in target companies is associated with more profitable acquisitions for the acquirer, as measured by the acquirer’s announcement returns. This finding suggests that higher-quality accounting information leads to better decision-making during acquisitions. It was also found that the importance of financial reporting quality increases when information about the target company is scarce. In addition, it was found that the financial reporting quality of target companies is less important when the agency costs of the acquirer are high.

This analysis also complements several recent papers that examine target firm accounting information and mergers and acquisitions (M&A) returns (Shalev and Martin, 2009; McNichols and Stubben, 2012). By expanding this analysis, the authors help to provide a more complete understanding of how target firm’s accounting quality relates to the valuation of the target company and future expected synergies in M&A deal practice.

This study is one of a growing body of literature on the relations between financial reporting quality and investment decisions (Bens and Monahan, 2004; Biddle and Hilary, 2006; Hope and Thomas, 2008; McNichols and Stubben, 2008; Biddle et al., 2009; Francis and Martin, 2010). These results extend and generalize the results of prior studies, in that data pertinent to acquisition profitability of M&As in South Korea are used.

We examine whether the fraud firms are engaged in real earnings management and accrual earnings management prior to the fraud year in the Malaysian context.

Our sample comprises of 65 financial statement fraud and 65 non-fraud firms over a period of eight years from 2001 to 2008.

Using the abnormal cash flow from operations (CFO) and abnormal production costs as the proxies for real earnings management, we find that financial statement fraud firms engage in manipulating production costs during preceding two years of the fraud event. However, our results show that financial fraud firms engage in manipulating CFO prior to the fraud event. Additionally, we find that financial statement fraud firms prefer to manipulate earnings using accruals relative to real earnings prior to the fraud year.

Our results demonstrate that real earnings management is more aggressive in financial statement fraud firms compared to the non-fraud firms in the four years prior to fraud.