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The purpose of this study is to investigate how changes in the firm's information disclosure practices impact the way investors process macroeconomic news. Specifically, the authors examine the role of derivative instruments and hedging activities disclosure, as required by SFAS 133, in shaping invertors response to good and bad interest rate news. In addition, the authors examine whether the effect of SFAS 133 on investors' response to good and bad interest rate news varies between firms with higher and lower earnings volatility.

This study uses data on all US public firms over the period from 1990 to 2019. The authors mainly apply multivariate regression and a difference-in-difference approach to test their hypotheses.

The results show a significant decrease in the asymmetry of responses to good and bad interest rate news for users of interest rate derivatives following the adoption of SFAS 133. However, in contrast to this finding, the authors also find that the adoption of SFAS 133 has no impact on the asymmetry of responses to good and bad interest rate news for nonusers of interest rate derivatives. Consistent with the ambiguity theory, the finding suggests that SFAS 133 indeed decreases investors’ uncertainty (ambiguity) about the cash flow implications of changes in the interest rate. The authors also find that the decrease in the asymmetry of response to good and bad interest rate news after the adoption of SFAS 133 is greater for users of interest rate derivatives with higher than lower earnings volatility. This implies that derivatives and hedging activities disclosure, as required by SFAS 133, are more important for firms with higher than lower earnings volatility. The finding is consistent with the idea that investors demand more accounting information when underlying earnings volatility is higher. In a set of additional analyses, the authors find that the effect of SFAS 133 on investors' response to good and bad interest rate news varies depending on the level of analyst coverage and interest rate exposure. Specifically, the authors find that the decrease in the asymmetry of response to good and bad interest rate news after the adoption of SFAS 133 is greater for users of interest rate derivatives with higher interest rate exposure and lower analyst coverage.

The findings of this study help market participants including regulators and standard setters to understand the impact of mandatory disclosure practices on investors' reaction to macroeconomic news. Moreover, the findings of the study help managers to understand the influence firm-specific characteristics (e.g. earnings volatility, analyst coverage and interest rates exposure) on the effectiveness of mandatory derivative instruments and hedging activities disclosure.

To the best of the authors' knowledge, this is the first paper to explore how firm-specific information environment affects the way investors process macroeconomic news. This study contributes to the literature by providing the empirical evidence that derivatives instruments and hedging activities, as required by SFAS 133, affect investors' response to good and bad interest rate news. In doing so, the results provide insights about how firm-specific information environment affects the way investors process macroeconomic news. This study shows that the cross-sectional variation in earnings volatility, analysts’ coverage and interest rate exposure affects the impact of SFAS 133 on investors' response to good and bad interest rate news. The findings are not only the notable addition to the existing literature on the topic but also can aid to market participants including policy makers, regulators, standard setters and managers to understand the influence of firm-specific characteristics on the effectiveness of mandatory derivative instruments and hedging activities disclosure. Finally, the findings contribute to the general debate about the effectiveness of SFAS 133 by showing that the adoption of SFAS 133 indeed decreases information ambiguity.

This paper provides a review of research on financial derivatives, with an emphasis on and comprehensive coverage of research published in 15 top accounting journals from 1996 to 2017. We begin with some brief institutional details about derivatives and then summarize studies explaining when and why firms use derivatives. We then discuss the evolution of the accounting rules related to derivatives (and associated disclosure requirements) and studies that examine changes in these requirements over the years. Next, we review the literature that examines the consequences of firms’ derivative use to various capital market participants (i.e., managers, analysts, investors, boards of directors, etc.), with an emphasis on the role that the accounting and disclosure rules play in such consequences. Finally, we discuss the importance of industry affiliation on firms’ derivative use and the role that industry affiliation plays in derivatives research. Overall, our review suggests that, perhaps due to their inherent complexity and data limitations, derivatives are relatively understudied in accounting, and we highlight several areas where future research is needed.

Big Data (BD) is being increasingly used in a variety of industries including construction. Yet, little research exists that has examined the factors which drive BD adoption in construction. The purpose of this paper is to address this gap in knowledge.

Data collected from literature (55 articles) were analyzed using content analysis techniques. Taking a two-pronged approach, first study presents a systematic perspective of literature on BD in construction. Then underpinned by technology–organization–environment theory and supplemented by literature, a conceptual model of five antecedent factors of BD adoption for use in construction is proposed.

The results show that BD adoption in construction is driven by a number of factors: first, technological: augmented BD–BIM integration and BD relative advantage; second, organizational: improved design and execution efficiencies, and improved project management capabilities; and third, environmental: augmented availability of BD-related technology for construction. Hypothetical relationships involving these factors are then developed and presented through a new model of BD adoption in construction.

The study proposes a number of adoption factors and then builds a new conceptual model advancing theories on technologies adoption in construction.

Findings will help managers (e.g. chief information officers, IT/IS managers, business and senior managers) to understand the factors that drive adoption of BD in construction and plan their own BD adoption. Results will help policy makers in developing policy guidelines to create sustainable environment for the adoption of BD for enhanced economic, social and environmental benefits.

This paper develops a new model of BD adoption in construction and proposes some new factors of adoption process.

This work aims to concentrate on the mixed convection of the stagnation point flow of ternary hybrid nanofluids towards vertical Riga plate. Aluminum trioxide (Al₂O₃), silicon dioxide (SiO₂) and titanium dioxide (TiO₂) are regarded as nanoparticles, with water serving as the base fluid. The mathematical model incorporates momentum boundary layer and energy equations. The Grinberg term for the viscous dissipation and the wall parallel Lorentz force coming from the Riga plate are taken into consideration in the context of the energy equation.

Through the use of appropriate nonsimilar transformations, the governing system is transformed into nonlinear nondimensional partial differential equations (PDEs). The numerical method bvp4c (built-in package for MATLAB) is used in this study to simulate governing equations using the local non-similarity (LNS) approach up to the second truncation level.

Numerous graphs and numerical tables expound on the physical properties of the nanofluid temperature and velocity profiles. The local Nusselt correlations and the drag coefficient for pertinent parameters have been computed in tabular form. Additionally, the temperature profile drops while the velocity profile increases when the mixed convection parameter is included to oppose the flow.

The fundamental goal of this work is to comprehend how ternary nanofluids move towards a vertical Riga plate in a mixed convective domain with stagnation point flow.

The purpose of this paper is to identify the factors affecting consumers' online purchase intention and to explore whether there was any significant difference between the path coefficients for males and females.

Data were collected by distributing questionnaires to 668 Indonesian consumers who were actively using the internet. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (MGA) in SmartPLS 3.0 software.

Results show that performance expectancy, effort expectancy and personal innovativeness are three influential factors and have a higher path coefficient in both the male and female groups. Anxiety shows a negative and significant relationship with online purchase intention for female consumers than for male consumers. Furthermore, the results of MGA analysis indicate that most factor coefficients in the determinants of online purchase intentions are not significantly different between males and females.

These results help the web retailers to consider the important factors in their strategies when they make strategic decisions as key factors affecting online buying intention. Besides this, the strong relationship between anxiety and intention for females has important implications for managers and designers should pay attention to this factor when designing the content on their business website.

Even though several marketing scholars discuss the factors influencing online shopping behavior, a few studies have shown the role of anxiety and personal innovativeness and their effect on online purchasing that fitted as supplements into the Unified Theory of Acceptance and Use of Technology (UTAUT). In addition, so far, no studies have effectively made a comparative analysis across gender, i.e. are personal and UTAUT factors in the determinants of online purchase intention significantly different across gender?

This paper aims to highlight recent resources on information literacy (IL) and library instruction, providing an introductory overview and a selected annotated bibliography of publications covering all library types.

This paper introduces and annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and IL published in 2015.

This paper provides information about each source, describes the characteristics of current scholarship and highlights sources that contain either unique or significant scholarly contributions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and IL.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

This paper aims to evaluate the ability of Aubepine and Molokhia extract, obtained by cathodic electrochemical treatment (CET), to protect steel rebar against attack by chloride ions in environment of reinforced concrete marine structures. The effect of Aubepine and Molokhia extract was investigated by electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization techniques.

This experimental work has achieved particularity to compare the behaviour of two types of treatment (carbon steel treated one time by Aubepine extract and one time by Molokhia extract) submitted to the presence and absence of chloride ions.

The results obtained show that the extract solution of the plant could serve as an effective inhibitor for the corrosion of steel. Inhibition was found to increase with increasing concentration of Molokhia extract and for Aubepine extract maximum concentration is 1 g/L.

Plant extracts and traditional medicinal herbs have become important as an environmentally acceptable, readily available and renewable source for wide range of inhibitors.

Aubepine and Molokhia extract are novel green plants extract as corrosion inhibiting coating for steel embedded in concrete. Aubepine is a genus of trees in the family Rosaceae and Molokhia is the leaves of Corchorus olitorius. Flavonoids content was found in both of Aubepine and Molokhia extract as green inhibitors for corrosion of metals.