Decision aid reliance: Modeling the effects of decision aid reliability and pressures to perform on reliance behavior

We investigate the effects of decision aid reliability and pressure to perform on decision aid reliance. A total of 403 students took part in a four (pressures to perform: one through four) by five (decision aid reliability: 50%, 60%, 70%, 80% and 90%) between-participants experiment. We test two competing models of decision aid reliance behavior: pressure-induced rationality and pressure arousal theory. Additionally, we introduce a general model of reliance on a decision aid. We find that pressure arousal theory predominantly explains decision aid reliance behavior at all but the highest level of decision aid reliability tested in this study (90%). Our results indicate that there are reliance peaks across the reliability levels as more pressure to perform is applied, and that continually increasing pressures can eventually lead to decreased, rather than increased, reliance.     

Accounting and stock market effects of international accounting standards adoption in an emerging economy

This study examines the impact of the mandatory adoption of the 1997 and 2006 Egyptian accounting standards on earnings quality and firm valuation. Extant research finds that IAS-based standards have positive effects on financial statement attributes (e.g., earnings management) and capital market-related variables (e.g., firm valuation) in some countries, and negative or neutral effects in others. Research conducted in this area on emerging markets is scant, and none in Egypt, which has adopted in 1997 an IAS-based standards (later revised twice in 2002 and 2006). Using a sample of Egyptian listed firms around the time of introducing the 1997 and 2006 EAS versions, I find insignificant empirical evidence that earnings management decreases post adoption of each of the EAS versions under investigation. Additionally, I find that firm valuation (Tobin’s q) was significantly negatively affected by both EAS versions under investigation in this study. I attribute these results to the lack of compliance by financial statement preparers, improper regulatory enforcement mechanisms, the poor accounting infrastructure, and the inadequate practitioner training, claimed by prior literature.     

Consolidation in the European banking industry: how effective is it?

The European banking industry is becoming increasingly consolidated as banks engage in domestic and cross-border merger and acquisition (M&A) activities. Due to cultural differences in cross-border consolidations, the benefits of domestic and cross-border consolidations are likely to differ. This paper examines the effectiveness of merger processes, with a detailed analysis of both domestic and cross-border consolidations in Europe from 1998 to 2004. Effectiveness is measured via several criteria: improvement in costs, return on assets (ROA), and return on equity (ROE). To analyze potential cost efficiency improvement, we use a stochastic cost frontier approach. The same methodology is used for ROA and ROE to estimate efficiency in profitability. Finally, considering cross-border mergers as a form of entry, we carry out an analysis of the entry effect in response to the performance and profitability of the incumbent market participants. Results show that mergers in the European banking industry have been effective. Although domestic M&As are more common than cross-border M&As, banks involved in cross-border M&As are more efficient. Moreover, cross-border merged banks seem to outperform incumbent banks.     

On leanness, agility and leagile supply chains

In 1999 a paper by Naylor, Naim and Berry on ‘leagility’ was published in international journal of production economics. The paper has attracted over 100 independent citations from over 60 journals of international standing. This paper explores the testing, exploitation and extension of the original work. Via a systematic literature review the notable findings are that the 1999 paper has been exploited in terms of its classification of supply chains into lean, agile and ‘leagile’; those terms have been tested via survey and case based empirical research; has been extended beyond the original stock decoupling point exploitation of lean and agile to encompass other forms of ‘leagility’. This paper concludes that further robust testing of ‘leagility’ and the definitions of leanness and agility are still required to encompass different market sectors and ensure triangulation of research methods.     

Structural Equation Modeling of Consumer Purchase Intention Toward Synthetic Functional Foods

Functional foods are gaining greater popularity around the world. They are not just a new category of food products marketed for their health benefits, but their competitive market has made consumers become more favorable toward firms that are involved in this industry. The public is increasingly concerned about health and food-related risks. They tend to make decisions on food consumption, food storage, and food preparation on a more ideal perspective based on health and safety. Therefore, the objective of this study is to determine the factors and intention of Malaysian consumers to purchase synthetic functional foods. Structural equation modeling is used to accomplish the objectives of this study with the feedback received from the 2,004 households who were interviewed through a structural questionnaire. The results show that the most influential factors influencing consumer purchasing intention toward synthetic functional foods are perceived benefits followed by attitude and subjective norms.     

One size does not fit all: Heterogeneous economic impact of integrated pest management practices for mango fruit flies in Kenya—a machine learning approach

Most previous studies evaluating agricultural technology adoption focus on estimating homogeneous average treatment effects across technology adopters. Understanding the heterogeneous effects and drivers of impact heterogeneity should enable interventions to be better targeted to maximise benefits. We apply machine learning using data from a randomised controlled trial to estimate the heterogeneous treatment effect of fruit fly IPM practices (i.e., parasitoids, orchard sanitation, use of food bait, biopesticides, male annihilation technique, and their combinations) in Central Kenya. Results suggest significant heterogeneity in the effect of IPM practices conditioned on household characteristics. The most important covariates explaining differences in treatment effects are wealth, distance to the mango fruit market, age of the household head, labour and experience in mango farming. Results further indicate that those with fewer mango trees benefit more from most IPM practices. Additional analysis across other covariates shows mixed results but generally suggests significant differences between households benefiting the most and those benefiting the least from IPM practices.     

Emiratisation: determining the factors that influence the recruitment decisions of employers in the UAE

The Arab Gulf's labour market is being overhauled. The private sector is increasingly being ‘obliged’ to more actively support nationalisation programmes. This study seeks to quantitatively determine the recruitment decisions of the employers. We collated the views of just under 250 UAE-based HRM personnel, in order to identify which factors (social, cultural, economic, regulatory, educational and motivational) are most significant as cited in the relevant literature. Not having the necessary educational qualifications and high reservation wage demands were found to have less of a bearing than does the perceived lack of vocationally orientated motivation and the ambiguities over the differing rights afforded to employees.     

The Role of Financial,Macroeconomic, and Non-financial Information in Bank Loan Default Timing Prediction

We assess the use of bank loan information in predicting the timing to default. We use unique data on defaults in small and medium enterprises maintained by the Central Bank of Portugal which includes financial accounting and macroeconomic indicators, as well as non-financial information. The findings are indicative of the incremental predictive ability of non-financial information over and above macroeconomic and financial accounting information in the baseline, industry, and in- and out-of-sample models. Specifically, total credit secured by firms is, as expected, negatively and significantly related to default. Gross domestic product is negatively and significantly related to default, and benchmark market rate is positively and significantly associated with default. The findings also reveal that firms which are operated by partners, which have stronger financial support from partners, and which possess operational assets exhibit lower hazards of default. The study indicates that non-financial information and macroeconomic indicators assessed alongside financial accounting data can significantly improve the forecasting performance of default models.     

Schumpeterian competition and efficiency among commercial banks

In this paper, we aim to fill the gap in the banking literature by quantifying the impact that the Schumpeterian competition mode – i.e. competition through the launch of new products (or new varieties of products) – has on the cost and profit efficiency of a sample of commercial banks based in the United Kingdom. We estimate both a cost and an alternative profit frontier on an unbalanced panel of UK commercial banks over the period 2001–2012. The intensity of competition through product innovation is proxied by the trademark intensity (i.e. the ratio between the number of trademarks registered in a given year by all the commercial banks – net of the trademarks registered by the bank under observation – and the employment in the sector) in the commercial banking sector. Our results show that the (lagged) trademark intensity in the commercial banking sector does affect negatively the mean cost and profit efficiency in the sector but there is evidence that as trademark intensity increases in the sector, commercial banks react by improving their cost and profit efficiency.     

Introducing XBRL through a financial statement analysis project

In this project, we introduce business and accounting students to the application of eXtensible Business Reporting Language (XBRL) through the use of interactive data. Students study the basic concepts and potential benefits of interactive data and XBRL. Students learn to extract the financial reports of two companies in the same industry. Then, using traditional financial analysis techniques (ratio analysis) students can compare the performance of these companies. Thus, the project accomplishes two important objectives: it introduces students to the benefits and features of XBRL-tagged financial reporting and interactive data, and it shows how this medium can be used to facilitate the analysis of financial statements. The project uses free, publicly available interactive data tools to accomplish these objectives.This project is appropriate for any level of financial accounting course in which students use public company financial statements to generate financial ratios and conduct analysis on them. We aim the project at MBA-type introductory accounting courses. In addition, we show how it can easily be expanded to be applied to higher level financial statement analysis courses, both at the undergraduate and graduate levels. The project provides some background into how XBRL-tagged financial reporting is generated, while the main focus is on application of interactive data and not the technology itself. Since XBRL is now mandated by the US Securities and Exchange Commission (SEC) for most reporting entities, it is critical for today’s business students to be familiar with this method of communicating financial information.