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This study aims to leverage the Unified Theory of Acceptance and Use of Technology framework developed by Venkatesh et al. (2003) to explore the factors influencing faculty willingness and acceptance of online teaching at a major Saudi Arabian university as we move to a post-COVID-19 new normal.

We surveyed business school faculty from a major Saudi Arabian university that transitioned to online learning because of the COVID-19 lockdown. We used partial least square structural equation modeling to examine the factors that impact faculty satisfaction and behavioral intention to continue using online teaching in the future.

The results of the study indicated that when faculty perceive that e-learning improves their teaching performance and effectiveness (performance expectancy) and find that online teaching tools are relatively easy to use (effort expectancy), then they are more open to considering online teaching and using digital tools even after the pandemic.

The study uses a Saudi Arabian sample, so the results of the study may not be generalizable to other countries. The study was cross-sectional in nature; a longitudinal design would help in uncovering more stable relationships and enabling us to draw stronger conclusions. Lastly, the sample size for the study was relatively small, resulting in a loss of power in statistical testing. Notwithstanding these limitations, our study contributes to a greater understanding and appreciation of faculty acceptance of online teaching as we progress to a post-COVID-19 new normal. As such, it should be useful to educators, institutions and policymakers as they seek to reimagine business education going forward.

The present study is one of the first scholarly studies to focus on exploring e-learning acceptance in a business school from a faculty perspective, considering the natural experiment that forced institutions to move to online teaching irrespective of their prior acceptance or experience with this teaching modality.

This paper aims to exploit the varying level of responses to the carbon disclosure project (CDP) to assess the economic consequences of carbon emission disclosure by disclosure level. Economic theory suggests that increased disclosures by a firm should lower the information asymmetry component of the firm’s cost of capital. Using CDP disclosures by US firms, the authors study the effect of voluntary carbon emission on the information asymmetry risk in capital markets.

The authors conduct cross-sectional analyses to examine whether, from the investor perspective, firms with varying CDP disclosure levels experience differential information asymmetric risk. The authors also conduct a pre- and post-disclosure comparison to examine whether the market responds to first-time carbon emission disclosure with decreases in the relative bid-ask spread.

In the cross-sectional analysis, the authors find that firms that decline to disclose carbon emission information, firms that provide incomplete information and firms that do not respond to the CDP survey have higher information asymmetry than firms that provide complete information and opt to make it available to the public. Using a pre- and post-disclosure comparison, the authors find that the market responds to first-time carbon emission disclosure with decreases in the relative bid-ask spread. Additionally, only firms that participate, provide complete disclosures and opt to make it available to the public enjoy the largest reduction in bid-ask spreads, which is followed by firms that provide incomplete information. Other firms do not experience a reduction in information asymmetry.

This study examines the impact of CDP disclosures on information asymmetry using a US sample. The results of the study may not be generalizable to other countries that have different institutional arrangements and settings.

The study has important social and policy implications. The findings on the role of carbon emission disclosures in reducing information asymmetry in the capital markets suggest the need for policymakers to promote greater carbon emission disclosures in the USA and other countries where such disclosures have been traditionally less emphasized. As to stakeholders, bringing corporate carbon emission disclosure in line with recommended guidelines will require them to exercise more direct stakeholder pressure to encourage firms to fully participate in the CDP project. This is particularly critical in settings of regulatory inaction and weak enforcement with respect to environmental policies and disclosure such as the USA.

The results span the current gap between two broad perspectives on corporate social responsibilities. The traditional shareholder perspective argues that companies only participate in socially responsible activities which increase shareholder value, while an alternate perspective argues that companies also undertake social responsibilities to benefit society even at the cost of shareholders (Moser and Martin, 2012). The study demonstrates that the two perspectives are not always at odds, carbon emission disclosure not only provides important information on the corporate social responsibility of the firm but also contributes to enriching the information environment leading to reduced information asymmetry in the equity markets for US firms. Thus, from both a stakeholder and capital market perspective, firms have incentives to provide carbon emission disclosures voluntarily. More direct stakeholder pressure may be helpful to encourage more firms to provide complete carbon emission information and opt to make it available to the public.

Few studies investigate the impact of CDP disclosure on the information environment of public companies. The lack of research on this key connection between new disclosures on carbon emissions and information asymmetry in the capital markets is the primary motivation for the paper. The study also provides important insights on disclosure level; just participating in the CDP survey is not enough, the degree of participation is also important. The results of the study suggest that the varying level of disclosure matters, the greatest benefits in terms of reduction of information asymmetry accrue to firms that provide complete information and opt to make it available to the public.

This article highlights the importance and complexity of creating cultural assets (e.g. corporate norms, shared perceptions) in a global economy. We examine the relationship of the business environment and the gender subcultures on social‐related information technology (IT) issues by comparing the attitudes towards information ethics among Kuwaiti business students and Kuwaiti business practitioners. We find that attitudes towards information ethics issues differ depending on type of respondent and gender. However, the effect of type of respondent depends on gender. Cultural idiosyncrasies of the Middle East are partly helpful in explaining our results. An implication of our results is that cultural assets such as corporate norms and shared perceptions are not easily shaped and require a sustained commitment and investment to overcome the competing influence of forces such as national culture and gender effects.

This paper provides, first, a historical perspective of accounting research relating to Asian/Pacific countries as seen from the vantage of the leading international journal in the United States and, second, a bibliographical data base and index of twenty‐six years of articles on this region of the world. It accomplishes the first objective by presenting a tabular profile of research in international accounting as it pertains to countries in the Asian/Pacific Rim region as shown in articles published in the International Journal of Accounting (formerly, the International Journal of Accounting, Education and Research) and related publications which appeared from 1965 to 1990. The articles are classified according to country, research methodology, subject, and five‐year time periods. The paper accomplishes the second objective by providing an annotated bibliography of 125 articles on Asian/Pacific Rim countries and indices by country and methodology, and subject.

This investigation/report/reflection was motivated largely by the occasion of the first Centre for Social and Environmental Accounting Research (CSEAR) “Summer School” in North America.¹ But its roots reach down as well to other recent reflection/investigation pieces, in particular, Mathews (1997), Gray (2002, 2006), and Deegan and Soltys (2007). The last of these authors note (p. 82) that CSEAR Summer Schools were initiated in Australasia, at least partly as a means to spur interest and activity in social and environmental accounting (SEA) research. So, too, was the first North American CSEAR Summer School.² We believe, therefore, that it is worthwhile to attempt in some way to identify where SEA currently stands as a field of interest within the broader academic accounting domain in Canada and the United States.³ As well, however, we believe this is a meaningful time for integrating our views on the future of our chosen academic sub-discipline with those of Gray (2002), Deegan and Soltys (2007), and others. Thus, as the title suggests, we seek to identify (1) who the SEA researchers in North America are; (2) the degree to which North American–based accounting research journals publish SEA-related research; and (3) where we, the SEA sub-discipline within North America, might be headed. We begin with the who.

This study examines possible influences on the level of collaboration in published research by the most productive authors of accounting literature. Understanding the collaboration tendencies of these authors should benefit early-career-stage accounting faculty. Seven factors are examined for the publications of 93 of the most productive accounting authors. These productive authors are found to include fewer coauthors on their publications early in their careers. The number of coauthors increases through their first 16 to 17 years and then decreases through the remainder of their careers. The results also indicate that productive accounting researchers include a greater number of coauthors on more recently published articles and on longer articles. Fewer coauthors are included when a productive author is affiliated with a “top-10” university or on articles published in highly ranked accounting journals. Lastly, the results show that prolific authors seek out coauthorship throughout their careers and usually include one or more coauthors on their publications. Implications from these results and specific suggestions for accounting faculty are discussed.

This research presents a study on the supply chain process of an Indian apparel industry considering various parameters involved. The study aims to identify the main parameters to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the apparel supply chain process and business environment.

The team of five experts from this apparel industry was made to give scores to multiple parameters. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique is used to develop the model for eleven key parameters and then rank them.

Based on the data analysis the planning, customer and warehouse storage have emerged as top three key parameters while the non-replenishment approach, push and pull strategy and manufacturing of the product are identified as the bottom three parameters from a hierarchy level. These parameters have been ranked based on their contributing attributes in this apparel supply chain process.

The study provides an overall ranking of parameters and the implications are in the direction of helping the industry to improve its supply chain performances rather than focus only on productivity. Further, the key parameters are identified as critical inputs and show that the firms are being more proactive and well prepared comprised of the industry.

The study indicates that the key parameters are identified by this apparel brand to improve its supply chain process. The key supply chain process involves planning, manufacturing, distribution, end customer and returns logistics of the goods, etc. So, this research also provides the focused parameters on the supply chain performance received by end customer from the supplier and rank them for effectiveness and improve their overall organizational performance. It also provides a critical observation of their supply chain process improvement which includes different brand uses, strategies and approaches.

The purpose of this paper is to emphasize the need for knowledge management (KM) in the teaching‐learning process in technical educational institutions (TEIs) in India, and to assert the impact of information technology (IT) based KM intervention in the teaching‐learning process.

The approach of the paper is basically conceptual and descriptive. The paper studies the role of KM in facilitating knowledge sharing among stakeholders in TEIs in India and elaborates on the need for knowledge management in the teaching‐learning process. A KM framework for enhancement of knowledge sharing by the use of shared intellectual repositories (IRs) is proposed for the enhancement of teaching and learning in technical educational institutions in India.

The authors value the impact that KM can have in enhancing the quality of teaching and learning in TEIs, and underscore the need for credible research into the benefits and challenges that the implementation of IT‐based KM intervention will provide.

The paper emphasizes the urgent need for improvement in quality of education in TEIs in India using the tools and processes of knowledge management. The importance of the proposed framework lies in augmenting the teaching‐learning process, improving productivity, enhancing communication among academia, researchers and professionals, enhancing student perception and understanding of subjects, and providing a common platform for pooling individual knowledge towards a common knowledge base.

The paper helps academicians to understand the importance of IT‐supported KM concepts, tools and practices towards quality teaching and learning. It provides useful inputs to TEIs, which must recognize that implementation of KM will influence knowledge sharing among faculty, researchers, practitioners, experts, professionals and students and enable quality education for students. Furthermore, the development of an IT‐based KM system will facilitate the promotion of institutional value in the competitive academic society. However there exists the need to evaluate the proposed framework in TEIs in India.

The purpose of this paper is to attempt the buckling analysis of a laminated composite skew plate using the C₀ finite element (FE) model based on higher-order shear deformation theory (HSDT) in conjunction with minimax probability machine regression (MPMR) and multivariate adaptive regression spline (MARS).

HSDT considers the third-order variation of in-plane displacements which eliminates the use of shear correction factor owing to realistic parabolic transverse shear stresses across the thickness coordinate. At the top and bottom of the plate, zero transverse shear stress condition is imposed. C₀ FE model based on HSDT is developed and coded in formula translation (FORTRAN). FE model is validated and found efficient to create new results. MPMR and MARS models are coded in MATLAB. Using skew angle (α), stacking sequence (Ai) and buckling strength (Y) as input parameters, a regression problem is formulated using MPMR and MARS to predict the buckling strength of laminated composite skew plates.

The results of the MPMR and MARS models are in good agreement with the FE model result. MPMR is a better tool than MARS to analyze the buckling problem.

The present work considers the linear behavior of the laminated composite skew plate.

To the authors’ best of knowledge, there is no work in the literature on the buckling analysis of a laminated composite skew plate using C₀ FE formulation based on third-order shear deformation theory in conjunction with MPMR and MARS. These machine-learning techniques increase efficiency, reduce the computational time and reduce the cost of analysis. Further, an equation is generated with the MARS model via which the buckling strength of the laminated composite skew plate can be predicted with ease and simplicity.