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This paper aims to explain the importance of the international cooperation and coordination among supervisory authorities of different countries in event of banking crises. It also suggests that the harmonious relationship has to be attained in the adoption of ex ante financial regulatory measures and ex post compensation schemes. In other words, the paper highlights the linkage between ex ante preventive regulatory measures and ex post compensation schemes, on the one hand, and cooperation among national regulatory and supervisory authorities in globalized financial markets. Although the paper is relevant to most developed and emerging financial markets, it chooses Hong Kong as a context to examine this proposal. In the current literature, there are no similar approach linking these two paradigms and examining them in an integrated context.

The paper adopts a conceptual framework after the 2008 global financial crisis and takes Hong Kong, an international financial centre in which numerous branches or subsidiaries of foreign financial institutions locate, as an example to examine how the coordination with foreign supervisory authorities are being conducted and to analyse whether the present regulatory framework in Hong Kong is effective and sufficient against banking crises. Through the review of the literature, the important link between ex ante regulatory measures and ex post compensation schemes is found to be significant in adopting proper solutions.

Through analysing the Hong Kong financial regulators’ reports on the collapse of Lehman Brother, the paper finds out that even though there is some weakness in the cooperation and coordination between regulators after the 2008 financial crisis, Hong Kong is still in the progress of proposing bank special resolution regime. Although there has been some awareness on the issue of coordination between home and host states regulatory measures, there is still a lack of awareness of the connection between regulatory measures and compensation schemes.

Conflict of interests could hardly be prevented in the course of cooperation and coordination among home and host regulatory authorities, and the coordination of the important link between ex ante regulatory measures and ex post compensation scheme which involves legal and economic analyses is a challenging task.

The paper’s findings show that there are practical implications for the recent rapid development of special resolution regime for global systematically important financial institutions against future banking crises and for managing the balance between the adoption of financial supervisory laws and special resolution measures.

This paper suggests that the harmonious coordination between ex ante regulatory measures and ex post compensation schemes has to be achieved through international context to avoid the absurd situations. This conceptual integrated framework presented in the current paper is not touched upon by the existing literature. This important concept is valuable for future research, and it is significant to financial regulators, legislators and the government in adjusting policy against banking crises in both developed and developing countries.

The purpose of this paper is to examine the underpricing of initial public offers (IPOs), which were announced by Indian firms for the period 2007 through 2009. It is motivated by the fact that a well-developed capital market is a function of economic growth and a reflection of the financial system. Thus, this study investigates aftermarket pricing performance of IPOs during the recent global financial crisis.

This paper studies the underpricing of 133 IPOs in three groups, namely, house-full collections, short-run and long-run periods. To do so, it uses event study method to observe underpricing, which is examined in various window periods. Further, industry- and year-wise offers are analyzed and interpreted. Accordingly, hypotheses are being developed and tested through a static “analysis of variance”.

The study explores that post-listing IPOs assure positive returns in the short run, but they tend to plunge and become negative in the long run. In particular, highest returns have been observed in the first week of post-listing.

Limitations include, the study does not compute market-adjusted returns to find abnormal performance of stocks, and does not apply regression statistic to examine the factors that affect underpricing.

Eventually, conclusions are drawn from India–international results, and thus it would add some new insights on investor perspectives (e.g. price signalling) to the existing IPOs literature, especially from Asian markets context.

This paper is an original research that examines the underpricing of Indian IPOs during the recent financial crisis, particularly in three groups: house-full collections, short-run and long-run periods.

To cater to the senior tourist market, it is essential to comprehend the factors motivating and deterring them from international travel post-COVID-19. This study aims to focus on senior citizens’ destination choice intentions and aims to develop a model that prioritizes positive and negative factors leading to international travel destination choices. It uses push–pull factors, perceived travel risks (PTRs) and perceived travel constraints (PTCs).

Decision-making trial and evaluation laboratory (DEMATEL) and fuzzy technique for order of preference by similarity to ideal solution (Fuzzy TOPSIS) are two multi-criteria decision-making (MCDM) techniques used to identify connections between variables and determine their relative importance in the decision-making model.

DEMATEL found push and pull factors are “effects” while PTCs and PTRs are “causes” affecting senior citizens’ destination choices. Push factors and PTCs have a greater impact than pull factors and PTRs. Fuzzy TOPSIS highlighted “improving health and wellness” and “self-fulfillment and spirituality” as key push factors, “health safety and security quotient” as the most important pull factor, and “interpersonal constraints” as the most critical PTC. Finally, “health risks” is the top PTR.

This paper adds to the tourism literature by looking at the relationship between senior tourists’ motivation, PTRs and PTCs and showing how the subfactors affect their choice of destination rank. The data analysis techniques used in this study are also novel, having never been used before in senior tourism research. Finally, even though there is a lot of research on senior tourism, not much is known about how Indian senior tourists act. In light of this study’s findings, practical recommendations were offered to tourism stakeholders worldwide, interested in tapping into the market of Indian outbound senior tourists or repositioning product or destination offerings to take this promising market or similar markets into account.

为了成功迎合蓬勃发展的老年旅游市场, 了解激励和阻止老年人国际旅行的因素尤为重要, 尤其是在 COVID-19 之后。本研究侧重于老年人的目的地选择意向, 并基于推拉因素、感知旅行风险 (PTR) 和感知旅行限制 (PTC), 旨在开发影响老年人国际旅游目的地选择的积极和消极因素的模型。

决策试验和评估实验室 (DEMATEL), 和与理想解决方案相似度的模糊偏好顺序 (Fuzzy TOPSIS) 是两种多标准决策 (MCDM) 技术, 用于识别变量之间的联系并找出它们在决策模型中的相对重要性。

DEMATEL的结果表明, 推力和拉力因素是“影响”, 而感知旅行约束（PTC）和感知旅行风险（PTR）是影响老年人目的地选择意愿的因素中的“原因”。推动因素和 PTC 比拉动因素和 PTR 发挥更重要的作用。 Fuzzy TOPSIS分析结果表明, “改善健康”和“自我实现和精神”是推动因素下最重要的因素。此外, 目的地的“健康安全商数”是拉动因素中最重要的, “人际约束”是PTC中最重要的。最后, 研究结果表明, “健康风险”是 PTR 中最重要的。

本文通过评估旅游动机、PTR 和老年游客 PTC 之间的相互关系, 为现有的旅游文献做出了贡献。此外, 该研究展示了影响老年游客目的地选择意愿的因素中各个子因素的比较优先级。本研究中使用的数据分析技术也很新颖, 以前从未在老年人旅游研究中使用过。最后, 虽然对老年旅游有丰富的研究, 但印度老年旅游者的行为相对不为人知。研究结果向有兴趣进入印度出境老年游客市场或重新定位产品或目的地的全球旅游利益相关者提供了切实可行的建议, 以考虑这个有前景的市场或类似市场。

Para atender a un mercado turístico de la tercera edad, es esencial comprender los factores que les motivan y les disuaden de realizar viajes internacionales tras el COVID-19. Este estudio se centra en las intenciones de elección de destino de las personas mayores y pretende desarrollar un modelo que priorice los factores positivos y negativos que conducen a la elección de un destino de viaje internacional. Utiliza los factores push-pull, los riesgos de viaje percibidos (PTR) y las limitaciones de viaje percibidas (PTC).

Decision Making Trial and Evaluation Laboratory (DEMATEL) y Fuzzy Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) son dos técnicas de toma de decisiones multicriterio (MCDM) utilizadas para identificar las conexiones entre variables y determinar su importancia relativa en el modelo de toma de decisiones.

DEMATEL descubrió que los factores de empuje y atracción son “efectos,” mientras que las PTC y las PTR son “causas” que afectan a las elecciones de destino de las personas mayores. Los factores de empuje y los PTC tienen un mayor impacto que los factores de atracción y los PTR. El Fuzzy TOPSIS destacó la “mejora de la salud y el bienestar” y la “autorrealización y espiritualidad” como factores de empuje clave, el “cociente de seguridad y protección de la salud” como el factor de atracción más importante y las “limitaciones interpersonales” como el PTC más crítico. Por último, los “riesgos para la salud” son el principal PTR.

Este artículo se suma a la literatura turística al estudiar la relación entre la motivación de los turistas sénior, los PTR y los PTC y mostrar cómo afectan los subfactores a su elección del destino. Las técnicas de análisis de datos empleadas en este estudio también son novedosas, ya que nunca se habían utilizado en la investigación sobre el turismo senior. Por último, aunque existen muchas investigaciones sobre el turismo sénior, el comportamiento de los turistas de la tercera edad en la India es relativamente desconocido. A la luz de los resultados del estudio, se ofrecen recomendaciones prácticas a las partes interesadas en el turismo de todo el mundo, interesadas en aprovechar el mercado de los turistas senior indios emisores o en reposicionar la oferta de productos o destinos para tener en cuenta este prometedor mercado o mercados similares.

This study aims to identify various enablers and the inter-relationships among them in adopting social sustainability measures in the supply chain. Social sustainability in the supply chain has received growing attention in the recent years, due to growing awareness on equity, health and safety, education, child and bonded labor and ethical practices in corporates.

Various enablers and their contextual relationships were identified. The enablers were classified based on dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the enablers to the social sustainability problem has been put forward using the interpretive structural modeling technique.

In this study, 14 relevant enablers were identified from literature review and subsequent discussions with experts from academia and the industry. Competitive pressure leads at the bottom of the digraph with high DP, followed by customers ' requirements, financial liquidity and social concern. Social sustainability awareness was found to be at the last level with less DP.

Enablers were developed based on literature survey and expert opinions. Hence, the model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on social sustainability practices in the supply chain.

The development of a hierarchy not only helps the supply chain managers to understand the enablers better, based on their importance, but also helps in decision making in the supply chain, which in turn enables the corporations to be competitive.

Findings of this article will help the corporations to be more socially sustainable by understanding the various enablers and their contextual relationships in the supply chain.

The structured social sustainability model helps supply chain managers and experts to understand interdependence of the enablers. This also helps in identifying different enablers with different degree of importance, which will be very much useful in adopting social sustainability measures in the supply chain.

Coronavirus disease 2019 (COVID-19) outbreak has impacted catastrophically every sector of the economy throughout the world. And, the education sector is not leftover from the devastating effects of lockdown, especially in South Asia. It has led to the prolonged closure of schools/universities, subsequently, traditional teaching expeditiously transformed into online teaching. In the light of the events, this study is pertinent to examine teachers’ perceptions of online teaching and the obstacles they face in online teaching during this pandemic.

The research takes a quantitative and sample survey approach. A Google Form Questionnaire was used to obtain a sample of 200 Delhi school teachers in March and April 2021. Data were analyzed in SPSS by using Descriptive Statistics, Factor Analysis, Reliability and Chi-Square test, etc.

The result of the study indicates that on average, teachers have a positive perception about virtual teaching amid COVID-19 for reducing the learning gap and shaping pupils’ future during the crisis. Nevertheless, they encountered several obstacles in online teaching such as technical obstacles, difficulties in online exams and assessment, etc.

The findings of this study would persuade educational institutions and policymakers for enhancing the quality of online teaching by embracing the newest instructional strategies and providing continuous training to teachers.

Several studies described obstacles confronted by instructors in virtual teaching in higher education during the Coronavirus while disregarding the perception and challenges of school teachers toward e-learning in an ongoing outbreak. The present study replenishes this gap.

Scholarly communications, particularly, questions and answers (Q&A) present on digital scholarly platforms provide a new avenue to gain knowledge. However, several studies have raised a concern about the content anomalies in these Q&A and suggested a proper validation before utilizing them in scholarly applications such as influence analysis and content-based recommendation systems. The content anomalies are referred as disinformation in this research. The purpose of this research is firstly, to assess scholarly communications in order to identify disinformation and secondly, to help scholarly platforms determine the scholars who probably disseminate such disinformation. These scholars are referred as the probable sources of disinformation.

To identify disinformation, the proposed model deduces (1) content redundancy and contextual redundancy in questions (2) contextual nonrelevance in answers with respect to the questions and (3) quality of answers with respect to the expertise of the answering scholars. Then, the model determines the probable sources of disinformation using the statistical analysis.

The model is evaluated on ResearchGate (RG) data. Results suggest that the model efficiently identifies disinformation from scholarly communications and accurately detects the probable sources of disinformation.

Different platforms with communication portals can use this model as a regulatory mechanism to restrict the prorogation of disinformation. Scholarly platforms can use this model to generate an accurate influence assessment mechanism and also relevant recommendations for their scholars.

The existing studies majorly deal with validating the answers using statistical measures. The proposed model focuses on questions as well as answers and performs a contextual analysis using an advanced word embedding technique.