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The purpose of this study is mainly to find out the EFL learners' attitude towards corrective feedback. This paper also investigates types of learners who prefer the online or offline corrective feedback, and how feedback should be tailored to the needs of the learners.

The study was conducted on sixty female participants who were students of levels 7 and 8 of the B. A. program (English) at King Khalid University, Saudi Arabia. They were administered a questionnaire comprising eight questions about corrective feedback from teachers individually and independently so that they could identify their own choices without any influence from other participants. The items in the questionnaire were closed items.

It was found that both types of feedbacks are essential to enhance learners' linguistic accuracy. Learners have shown their positive attitude towards teachers' corrective feedback because they consider it a motivating learning tool. Not only that the learners have expressed the view that corrective feedback is very useful in enhancing the learning process for EFL learners. On the other hand, some of the learners are not serious about going through corrective feedback given by teachers because sometimes they are unable to differentiate between what helps or hampers progress towards language learning. However, they preferred both online (immediate/automated) feedback and offline (delayed) feedback. In general, the results state that the learners have expressed the view that corrective feedback is very useful in enhancing the learning process for EFL learners.

This study has some limitations. The first one is the sample size. Only students from levels 7 and 8 (undergraduates) were taken into consideration. The second limitation is that the researchers focused on only one university in Saudi Arabia. The third limitation is that no male students participated in this study. The results might be different if the male students participated as well.

One vital point in employing CF in the language classrooms is timing. Considering the timing of corrective feedback, teachers face the problem of whether CF should be immediate (online) or delayed (offline).

Students’ assignments are often much better in style and organisation than the email messages they send to theirteachers. Some teachers, including myself, often ‘covertly’ correct students’ email messages for style, organisation,content, or correctness. While some students appreciate this extra effort from the teachers, others see it as an inhibitingintrusion. However, I have frequently noticed that students who are corrected repeatedly improve in writing emails. Myresearch concerns both the use of academic email writing and the correction of errors in student emails, and concludesthe following: students usually write only formal emails to their teachers; those instructors who correct email errors do notoffer explicit error correction; and if email writing were taught to the students, it would offer variety in the writing genresstudents currently compose

This paper aims to examine the effect of financial restatement on changing the auditor in the following years.

The study uses data of 105 companies (735 company-years) listed on the Tehran Stock Exchange collected during the period 2008-2014. Logistic regression is used to test the hypotheses.

The results of hypotheses present that restatement does not cause auditor changes and that as the severity of a restatement increases, the auditor change in the following year of restatement also does not increase. Restating companies having strong governance do not go for auditor changes as compared with other companies. In addition, in companies that are restating, non-big auditor changes are not more likely than a big auditor. Also, in companies restating simultaneous with a CEO turnover, there is no possibility of auditor change. Furthermore, multinomial logistic regression showed that the adjustments resulting from the correction of errors and changes in procedures and the amount of adjustments do not cause auditor change in the following year. So, the results have shown that the restatement is not an important factor in changing auditor the next year.

The current study analyses the impact of financial restatement on auditor changes in a deep manner in a developing country like Iran.

It would take billions of miles’ field road testing to demonstrate that the safety of automated vehicle is statistically significantly higher than the safety of human driving because that the accident of vehicle is rare event.

This paper proposes an accelerated testing method for automated vehicles safety evaluation based on improved importance sampling (IS) techniques. Taking the typical cut-in scenario as example, the proposed method extracts the critical variables of the scenario. Then, the distributions of critical variables are statistically fitted. The genetic algorithm is used to calculate the optimal IS parameters by solving an optimization problem. Considering the error of distribution fitting, the result is modified so that it can accurately reveal the safety benefits of automated vehicles in the real world.

Based on the naturalistic driving data in Shanghai, the proposed method is validated by simulation. The result shows that compared with the existing methods, the proposed method improves the test efficiency by 35 per cent, and the accuracy of accelerated test result is increased by 23 per cent.

This paper has three contributions. First, the genetic algorithm is used to calculate IS parameters, which improves the efficiency of test. Second, the result of test is modified by the error correction parameter, which improves the accuracy of test result. Third, typical high-risk cut-in scenarios in China are analyzed, and the proposed method is validated by simulation.

The aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.

Annual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.

Results of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.

There may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.

The paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.

This paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.

The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.

The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.

Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.

There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.

By using the annual time series data from 1986 to 2008 in South Korea (hereafter Korea) we will examine the possibility that the difference in trade liberalization is causal to the differentials in growth and measure the sensitivity of growth to changes in trade liberalization. For the estimation, we will use both alternative measures of trade liberalization; imports for the total factor cost of national income for trade openness (hereafter openness) and the sum of exports and imports for the total factor cost of national income for trade globalization (hereafter globalization). The regression results suggest that both openness and globalization make a substantial contribution towards Korea’s economic growth. In a comparison between these two indicators of trade liberalization, openness is more sensitive to growth. A negative and statistically significant error correction term implies that the null hypothesis of no co-integration is rejected when one period lag is used. The existence of co-integration means that openness and globalization policies can be targeted in order to bring about a desired long-run effect as well as a short run effect on growth.

The unhealthy drive for deposit in the banking sector has pushed many banks into unethical practices, thereby resulting in high-level corruption cases in the banking sector. The purpose of this study is to investigate the short- and long-run linkages between bank net interest income and deposit liabilities interacted with corruption, to establish the influence of corruption in deposit mobilisation drive of banks in Nigeria. Also, the study analysed the causal relationship between selected bank variables and fraud.

The study used quarterly data on selected variables from 1Q 1993 to 4Q 2017 sourced from Nigerian Deposit Insurance Corporation (NDIC) annual reports and Central Bank of Nigeria (CBN) Statistical Bulletin of various issues. Deposit Money Bank various deposit liabilities are interacted with a corruption index and used as the independent variables, while bank earnings serve as the dependent variable. Error Correction Model (ECM) and Engel Granger approach to co-integration technique were used to analyse the data.

The findings reveal that various bank deposit liabilities interacted with corruption index has a negative effect on bank profitability in the long run, though only corrupt fixed deposit is statistically significant at the 5 per cent significance level. Bank total asset, total loan and advances and fraud have a significant effect on bank profitability at 1 and 10 per cent significance level. The findings also reveal that banks profit from corrupt fixed deposit and demand deposit in the short run.

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The literature is awash with bank lending corruption and various institutional factors such as competition among banks, credit bureau and information sharing about borrowers, bank supervisory policies, loan loss provisioning, bank ownership structure and regulatory environment and anti-corruption measures. The aspect of deposit mobilisation and corruption has not been well researched in literature; this study, therefore, fills the gap in the literature by examining the extent deposit money banks contributed to corruption in Nigeria through their cutthroat deposit mobilisation drive.

The purpose of this paper is to examine the issue of high current account deficit (CAD) from various perspectives focussing its behaviour, financing pattern and sustainability for India.

To begin with the trends, composition and dynamics of CAD for India are analysed. Next, the influence of capital flows on current account is investigated using Granger non-causality test proposed by Toda and Yamamoto (1995) between current account balance (CAB) to GDP ratio and financial account balance to GDP ratio. Also, the sustainability of India’s current account is examined using different econometrics techniques. In particular, Husted’s (1992), Johansen’s cointegration and vector error correction model (VECM) is applied along with conducting unit root and structural break tests wherever applicable. Further, long-run and short-run determinants of the CAB are estimated using Johansen’s VECM.

The study found that the widening of CAD is due to fall in household financial savings and corporate investments. Also, it was found that a large part of India’s CAD has been financed by FDI and portfolio investments which are partly replaced by short-term volatile flows. The unit root and cointegration tests indicate a sustainable current account for India. Further, econometric analysis reveals that India’s current account is driven by fiscal deficit, terms of trade growth, inflation, real deposit rate, trade openness, relative income growth and the age dependency factor.

Since India’s CAD has widened and is expected to widen primarily due to rise in gold and oil imports, policy makers should focus on achieving phenomenal export growth so that a sustainable current account is maintained. Also, with rising working-age and skilled population, India should focus more on high-value product exports rather than low-value manufactured items. Further, on the structural side it is important to correct fiscal deficit as it is one of the important factors contributing to large CAD.

The paper is an important empirical contribution towards explaining India’s CAD over time using latest and comprehensive data and econometric models.

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different quality OCR on users' subjective perception through an interactive information retrieval task with a collection of one digitized historical Finnish newspaper.

This study is based on the simulated work task model used in interactive information retrieval. Thirty-two users made searches to an article collection of Finnish newspaper Uusi Suometar 1869–1918 which consists of ca. 1.45 million autosegmented articles. The article search database had two versions of each article with different quality OCR. Each user performed six pre-formulated and six self-formulated short queries and evaluated subjectively the top 10 results using a graded relevance scale of 0–3. Users were not informed about the OCR quality differences of the otherwise identical articles.

The main result of the study is that improved OCR quality affects subjective user perception of historical newspaper articles positively: higher relevance scores are given to better-quality texts.

To the best of the authors’ knowledge, this simulated interactive work task experiment is the first one showing empirically that users' subjective relevance assessments are affected by a change in the quality of an optically read text.