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REDIFUSSION Simulation Ltd has extended its Novoview SP‐X family of visual simulation systems.

Social presence (SP), which refers to individuals’ perception of others being engaged as “real people” in the same situation, is a crucial component in technology-rich learning environments (TREs). This study aims to identify major learning design, antecedents and outcomes of SP within TREs, and identify common findings from the past two decades.

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses review principles and a qualitative analysis of selected articles, a final review of 72 studies that met inclusion criteria was obtained. Key information, including education level, discipline, sample size, study type and measurements, was extracted and studies were further analyzed and synthesized based on design features and learning modes.

The study identifies five crucial factors for instructional design to foster SP in TREs: technology affordances, multimedia features, social factors, instructional principles, learner characteristics and learning management systems. The authors compare two learning modes across three dimensions and identify popular technologies used in studies related to SP over the past two decades. Practical recommendations are provided for educators and educational technology developers to enhance SP within technology-rich learning environments.

This research contributes to the discourse on online learning and computer-supported communication, particularly in the post-COVID-19 era. By examining factors influencing SP and providing implications for instruction and educational technology development, this study offers evidence-based support to educators for engaging learners and fostering authentic learning experiences through adaptive selection of educational technologies.

The purpose of this paper is to prepare Ti(C,N) coatings on TA15 treated and not treated by shot peening using double glow plasma alloying technique. The effect of shot peening on the wear behavior of Ti(C,N) coatings is discussed.

The Ti(C,N) coatings were prepared by double glow plasma alloying technique on two different TA15 substrate; one is shot peened and the other is not.

Ti(C,N) coating on SP-treated TA15 was thicker and denser, and the grain size was smaller compared with that on original TA15. Compared with the Ti(C,N) coating on original TA15, the wear resistance of that on SP-treated TA15 is improved. Ti(C,N) coating on SP-treated TA15 showed higher nanohardness and bearing capacity than that on original TA15.

For double glow plasma alloying technique, surface quality, surface activity and other factors will have influence on the thickness and density of the coating. The wear mechanisms of Ti(C,N) coating on original TA15 are serious abrasive wear and oxidation wear. However, the wear mechanism of Ti(C,N) coating on SP-treated TA15 is slightly oxidation wear.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0283/

The purpose of this paper is to hypothesize two channels in which market volatility affects initial public offering (IPO) activity.

First, CEOs time the market for IPOs and volatility makes this decision process harder. Second, risk-averse IPO investors become more reluctant toward IPOs during periods of higher volatility for their after-IPO returns.

The authors provide evidence that higher market volatility leads to lower IPO activity, supporting these hypotheses. More importantly, the authors show that it is not the realized volatility, but rather the implied (expected) volatility, that causes lower IPO activity.

While there may be many companies that are ready to have IPOs, they may be simply waiting for a more opportune time which may not necessarily be a period of high prices but of low volatility.

The public policy prescription is clear: if IPOs are to be encouraged, then regulatory policies should be constructed with the aim of reducing volatility.

This study is the first (to the authors’ knowledge) to argue that it is not the realized volatility which most affects the IPO decisions of executives, entrepreneurs and investors.

This study aims to investigate the impact of interest rates, the underlying asset and investment experience on the investment behavior of Japanese retail investors toward structured products (SPs).

Three treatments are constructed through internet-based survey experiments: interest rate, underlying asset framing and investment experience treatments. The interest rate treatment includes high- and low-interest rate environments. The underlying asset framing treatment includes equity and foreign exchange rates for the SP. The investment experience treatment includes experienced and inexperienced respondents for SPs.

The main finding of this study concerns the effect of the interaction between low-interest rates and investment experience. Specifically, SP-experienced investors tend to choose SPs in a low-interest rate environment and prefer equity-linked SPs, even though such SPs are overpriced. This finding is useful for financial regulators in formulating policies that protect retail SP investors in low-interest rate environments worldwide.

This study is the first to measure the sensitivities of investment behavior regarding the relative attractiveness of SPs to low-risk straight bonds, given interest rates, the underlying asset and investment experience. It provides evidence to support the development of SP regulations.

Many prior tests of market efficiency, which occurred decades ago, were limited by data and did not employ methodology to correct for leptokurtosis in the stock return distribution. Furthermore, these studies did not test many aspects of conditional market efficiency. One aspect of a potential conditional violation of market efficiency is whether stock markets are efficient conditional on the level of stock return.

This paper uses quantile regressions to control for leptokurtosis in the stock return distribution and simultaneous quantile regressions to test whether markets are efficient conditional on the level of the market return. This paper uses market-level stock return data to bias against finding significant results in the efficiency tests. Furthermore, the author uses data from 1926 through 2018, providing the longest time period to date under which market efficiency is tested.

This paper presents evidence that the autoregressive coefficient decreases across return levels in stock market indices. The autoregressive coefficient is positive around highly negative returns and negative or insignificant around highly positive returns, which suggests that when stock returns are low they are more likely to continue lower, and when stock returns are high they are more likely to reverse. Results additionally suggest that market efficiency is not time-invariant and that stock markets have become more efficient over the sample period.

This paper extends the literature by finding evidence of a violation of weak-form market efficiency conditional on the level of stock returns. It further extends the literature by finding evidence that the stock market has become more efficient between 1926 and 2018.

This paper aims to explore key management actions for implementing security on the cloud, which is a critical issue as many organizations are moving business processes and data on it. The cloud is a flexible, low cost and highly available technology, but it comes with increased complexity in maintaining the cloud consumer’s security. In this research, a model was built to assist strategic decision-makers in choosing from a diverse range of actions that can be taken to manage cloud security.

Published research from 2010 to 2022 was reviewed to identify alternatives to management actions pertaining to cloud security. Analytical hierarchical process (AHP) was applied to rate the most important action(s). For this, the alternatives, along with selection criteria, were summarized through thematic analysis. To gauge the relative importance of the alternatives, a questionnaire was distributed among cloud security practitioners to poll their opinion. AHP was then applied to the aggregated survey responses.

It was found that the respondents gave the highest importance to aligning information security with business needs. Building a cloud-specific risk management framework was rated second, while the actions: enforce and monitor contractual obligations, and update organizational structure, were rated third and fourth, respectively.

The research takes a general view without catering to specialized industry-based scenarios.

This paper highlights the role of management actions when implementing cloud security. It presents an AHP-based multi-criteria decision-making model that can be used by strategic decision-makers in selecting the optimum mode of action. Finally, the criteria used in the AHP model highlight how each alternative contributes to cloud security.

The purpose of this paper is to examine the informational efficiency and integration simultaneously for select Asian and US stock markets while considering the impact of recent financial crisis.

Daily stock market data from 13 world markets covering the period of ten years (from January 1, 2000 to December 31, 2010) is tested using Run test, Unit root test, GARCH(1, 1) model, Pearson correlation coefficient, Johansen’s cointegration test and Granger causality test.

It is concluded that the markets under study are inefficient in weak form which creates the chances of earning abnormal returns for the investors. Furthermore, the markets are found to be correlated and integrated in long-run, which makes the international fund diversification insignificant. The degree of inefficiency, in general, is not affected by the recent financial crisis but the level of integration among stock markets is reduced with the effect of recent financial crisis.

Individual/institutional investors, portfolio managers, corporate executives, policy makers and practitioners may draw meaningful conclusions from the findings of this type of researches while operating in stock markets. They can use such studies for the management of their existing portfolios as their portfolio management strategies may be, up to some extent, dependent upon such research work.

The originality of the present study lies in the fact that this paper is an attempt to fill the time gap of comprehensive researches on Asian and US markets and an effort to test stock market efficiency and integration simultaneously.

The concept of social media crisis has been consequently replaced by the term “paracrisis”. However, the economic implications of the paracrises have not been thoroughly researched by now. The purpose of this paper is to examine the potential influence of paracrisis on companies’ stock price values.

Secondary data analysis has been conducted to identify paracrises for the publicly listed companies and verify that there were no other market events that could affect the stock price during the observed period. Quantitative data analysis has been conducted using the event study, observing stock price values before and during the paracrisis, and the relationship between stock price oscillations and S&P 500 trends was tested.

There were no significant differences in stock price values before and during the paracrisis. Additionally, a strong correlation between S&P 500 and stock price trends has been found. Findings indicate that paracrises do not significantly impact the stock price behaviour and they should be considered as an irrelevant market event from the stock price point of view.

This study is the first research that examines the stock price paracrisis interdependence.

By testing the weak form of efficient market hypothesis (EMH) this study aims to forecast the short-term stock prices of the US Dow and Jones environmental socially responsible index (SRI) and Shariah compliance index (SCI).

This study checks the validity of the weak form of EMH for both SCI and SRI prices by using different parametric and non-parametric tests, i.e. augmented Dickey-Fuller test, Philip-Perron test, runs test and variance ratio test. If the EMH is invalid, the research further forecasts short-term stock prices by applying autoregressive integrated moving average (ARIMA) model using daily price data from 2010 to 2018.

The research confirms that a weak form of EMH is not valid in the US SRI and SCI. The historical data can predict short-term future price movements by using technical ARIMA model.

This study provides better guidance to risk-averse national and international investors to earn higher returns in the US SRI and SCI. This study can be extended to test the EMH of Islamic equity in the Middle East and North Africa region and other top Islamic indexes in the world.

This study is a new addition to the existing literature of equity investment and price forecasting by comparing and investigating the market efficiency of two interrelated US SRI and SCI.