درخت حوزه‌های تخصصی

For the last three decades, research on Information Technology Business Value (ITBV) has highlighted how organizations can create greater value from IT investments in different industries, including the healthcare sector. There has been some research investigating the business value of Health Information Systems (HIS). However, the current body of knowledge regarding the challenges in front of proper business value realization of these systems is limited. This study investigates the challenges of HIS business value creation using a combination of the Fuzzy Analytic Hierarchy Process (FAHP) and fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL). First, this study reviews the literature to identify the main challenges in the field. The outcome of this step revealed three main categories and 22 challenges, including technological (ten challenges), organizational (eight challenges), and environmental (four challenges). Then, this study first uses FAHP to evaluate the weighting for each criterion and then adopts the fuzzy DEMATEL method to establish contextual relationships among those criteria. We find out that technological challenges are the most crucial dimension. Moreover, we observed that “infrastructure costs” has the highest priority. Under the technological dimension, “maintenance costs” and “systems compatibility” challenges are the most critical since they are in the cause area and directly influence the HIS outcomes. Under the organizational dimension, “Change in strategic objectives” is the most important challenge. Moreover, “inter-departmental coordination”, “training costs”, “proficiency”, and “users’ knowledge” are affected by each other as well as influenced by the net causes. The outcome of this study shows that to handle HIS business value creation challenges, healthcare executives should start with infrastructure costs, maintenance costs, and systems compatibility challenges.

Nowadays, business groups play an outstanding role in financial markets. Corporates in the trading groups are able to use technology, capital, human resources, productions and services of other members in the group in addition to their own resources and capabilities. Thus, this paper studies the effect of business group affiliation on cash holdings and return on equity. The sample involves 94 corporates among those accepted in Tehran Stock Exchange. In this research, the effect of business group affiliation on cash holdings and return on equity during 2010-2015 has been investigated; in total, it includes 564 observations for the research. Statistical method applied here is the multivariate regression in the data panel way. Results achieved by the research hypotheses indicate that there is a significant relationship between business group affiliation, cash holdings and return on equity.

Examining the theoretical foundations of earnings management shows that companies have stronger incentive to use earnings management at the pre-bankruptcy stage. Consequently, accounting-based determinants retrieved from financial statements may be biased factors for financial distress. In this paper, we investigate whether taking into account real earnings management improves specification of accounting-based financial distress prediction models. We test whether the inclusion of such attributes in bankruptcy prediction models improves their predictive ability. We use a sample of listed manufacturing companies in the Iran Stock Exchange during 2008 - 2017. Our findings suggest that the inclusion of earnings management significantly increases the predictive ability of accounting-based financial distress prediction models. Our results show that the real earnings management can provide predictive signals concerning a financial distress and that an abnormal cash flow which proxies for real earnings management can play a relevant role in early warnings of financial distress. These results are of interest to market participants, auditors, regulating authorities, banks and other financial institutions that are interested in financial distress assessment