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The study focuses on (1) the success of three strategies employed during the pandemic – two “persevering” strategies, curbside pickup and return window extension and one innovative strategy, virtual try-on technology and (2) whether the strategies are likely to be successful in the post-pandemic world.

The authors utilize a panel dataset containing 17 department store chains in the US The panel includes weekly sales by the retailers at the city level from 2018 to 2021, encompassing both a pre-COVID-19 period and a period during the pandemic. A two-way fixed effects model, including retailer-city fixed effects and year-week fixed effects, is used to estimate department store sales.

The authors find that the two persevering strategies offset the negative impact of government-imposed containment and health measures on sales performance. On the other hand, the innovative strategy is more effective with a low level of containment and health measures, leading to our observation that virtual try-on may be more sustainable than the other two strategies in a post-pandemic environment.

This paper makes the following contributions: First, the authors contribute to the literature on strategies that may be used to respond to crises. Second, the authors contribute to the retail management literature, assessing the impact of the three retail strategies on department store sales. Finally, the authors compare the impact on sales of the two persevering strategies to the innovative strategy and conclude that a mix of these types of strategies may be most effective at generating short-term sales during a crisis and longer-term sales post crisis.

The purpose of this paper is to examine the long‐term trend in the efficiency of the Singapore banking sector.

The paper utilises the data envelopment analysis (DEA) window analysis methodology, which allows us to distinguish between three different types of efficiency namely, technical, pure technical and scale efficiencies. Given that the sample population is small, the DEA window analysis allows for a greater degree of freedom to the sample. The paper further examines whether the Singapore banking groups were drawn from the same environment during two sub‐periods by performing a series of parametric and non‐parametric tests. Finally, the paper attempts to investigate the consistency of the estimated DEA efficiency scores by examining its relationship with the traditional measures of banks’ performance.

During the period of study, the results suggest that the Singapore banking groups have exhibited mean overall or technical efficiency of 88.4 per cent. It was found that the Singapore banking groups’ overall efficiency was on a declining trend during the earlier part of the studies, before increasing dramatically during the later period.

The paper could be extended to consider the production approach along with the intermediation approach, which has been applied in this paper. Investigation of changes in productivity over time as a result of technical change or technological progress or regress by employing the Malmquist Total Factor Productivity Index, could be another extension to the paper.

This paper provides new empirical evidence on the long‐term trends in the efficiency of the Singapore banking groups.

This study concerns how well stock market regulators prevent trading by using trading halts when they suspect asymmetric information in the market. Security trading halts in the Portuguese stock market are analysed to measure the effectiveness of trading halts imposed by market authorities as well as their timing in interrupting and restarting trading. Stock price returns, abnormal returns and volatility are used to compare the significance of differences for pre‐and post‐halt periods. First the global sample is used to analyse abnormal returns and then it is split into good and bad news halts. A GARCH (1,1) model is also applied and found to be a more sensitive instrument on justifying trading halts. Justification for trading halts tends to rise as event window size increases, suggesting that supervisory authorities tend to spot the dominant changes better. In fact, when very short time‐sampling periods are used weaker justifications for stock halting are found. The opportunity for market authorities to interrupt trading seems to be increasing. In terms of timing they seem, on the whole, to be delayed when imposing trading halts or anticipated when authorising the restart. Nevertheless, when considering good news, although the halt tends to be late the restart seems to be on time. It is concluded that all methodologies should be jointly applied by stock watch departments of supervision authorities for detecting trading under asymmetric information, but special attention is drawn to GARCH methodologies that show superior ability for detecting changes in stock characteristics.

This study aims to test the market anomaly of herding behavior driven by the response to supply chain disruptions in extreme market conditions such as those observed during COVID-19. The authors empirically test the response of the capital market participants for B2B firms, resulting in herding behavior.

Using the event study approach based on the market model, the authors test the impact of supply chain disruptions and resultant herding behavior across six sectors and among different B2B firms. The authors used cumulative average abnormal returns (CAAR) and cross-sectional absolute deviation (CSAD) to examine the significance of herding behavior across sectors.

The event study results show a significant effect of COVID-19 due to supply chain disruptions across specific sectors. Herding was detected across the automotive and pharmaceutical sectors. The authors also provide evidence of sector-specific disruption impact and herding behavior based on the black swan event and social learning theory.

The authors examine the impact of COVID-19 on herding in the stock market of an emerging economy due to extreme market conditions. This is one of the first studies analyzing lockdown-driven supply chain disruptions and subsequent sector-specific herding behavior. Investors and regulators should take sector-specific responses that are sophisticated during extreme market conditions, such as a pandemic, and update their responses as the situation unfolds.

Supply chain structure, characteristics, and applicable policies differ between developing and developed countries. While most supply chain management research is directed toward supply chains in developed countries, the authors wish to explore the financial impact of disruptions on supply chains in a developing country. The purpose of this paper is to highlight the importance of effective supply chain management practices that could help avoid or mitigate disruptions in Indian companies. The authors study the stock market impact of supply chain disruptions in Indian companies. The authors also aim to understand the difference in financial implications from disruptions between companies in India and the USA.

Event study methodology is applied on supply chain disruptions data from Indian companies. The data are compiled from public news release in Indian press. A data set of 301 disruptions for a ten-year period from 2003-2012 is analyzed. Stock valuation of a company is used to assess the financial impact.

The results show that Indian companies on average lose −2.88 percent of shareholder wealth in an 11-day window covering the event day and five days pre- and post-disruption announcement. A significant stock decline was observed as early as three days prior to announcement, indicating possibility of insider trading and information differentials between investors. Irrespective of the location and responsibility of a disruption, companies experience significant negative returns. Company size, book-to-market ratio, and debt-to-equity ratio were found to be insignificant in affecting the stock market reactions to disruptions. The authors also compiled supply chain disruptions data for US companies. When compared to the US companies, Indian companies register a significantly higher stock decline in the event of a disruption.

Supply chain disruptions data from India and the USA are analyzed. Broad applicability of results across countries may require studying other developing countries. The research demonstrates potential effectiveness of investment in supply chain management initiatives. It also motivates research focussed specifically on supply chains in developing countries.

Supply chain decision makers in India could benefit from investment in disruptions management and mitigation practices. The results provide a valuation of effective supply chain management. The findings provide guidance for investors in making decisions when supply chains face disruptions.

The paper studies the financial consequences of supply chain disruptions in a developing country. The study is valuable because of increasing globalization, outsourcing, and the economic role of developing countries.

Despite the difference in information sets, we are able to compare the asymptotic distribution of volatility estimators involving data sampled at different frequencies. To do so, we propose extensions of the continuous record asymptotic analysis for rolling sample variance estimators developed by Foster and Nelson (1996, Econometrica, 64, 139–174). We focus on traditional historical volatility filters involving monthly, daily and intradaily observations. Theoretical results are complemented with Monte Carlo simulations in order to assess the validity of the asymptotics for sample sizes and filters encountered in empirical studies.

The purpose of this paper is to examine if the announcement of corporate power purchase agreements (PPAs) induce significant effects on the electricity buyers' stock returns.

This is an event study based on the Fama French Five Factor Model which uses several significance tests and robust regression approaches.

The announced closing of corporate PPAs induces significant positive abnormal stock returns. This announcement effect is even more pronounced in case of virtual PPAs.

To the best of the author‘s knowledge, this study is the first which explictly investigates the announcement effects of corporate PPAs, which are closed between the owner of the renewable energy asset and the institutional end consumer. In addition, this study extends the event study approach by robust regression methods.

The AIC Research Group at the University of Salford has been involved in a government‐funded project that has resulted in the development of an integrated multi‐user distributed construction project database through the implementation of next‐generation Internet technology together with Product Data Technology ‐ WISPER. The objective of the project was to develop a working system capable of demonstrating the future direction of information integration with the project partners' businesses. This paper presents the development of the specification application that aims to demonstrate the potential for such technologies to enhance the specification process, enabling design elements to be specified directly from a building product database Web site.

The main aim of the study was to measure and assess the efficiency of the healthcare system in Poland.

An output-oriented Data Envelopment Analysis model with a 2-years window analysis extension was used between 2013 and 2018. The analysis was completed with a determination of the sources of productivity changes (between the first and last year of the study period) and factors that influence efficiency.

Efficient regions have been identified and the spatial diversity in their efficiency was confirmed. The study identified individual efficiency trends together with “all-windows” best and worst performers. Using panel modeling, it was confirmed that the efficiency of health protection is influenced by, among others, accreditation certificates, the length of the waiting list or the number of medical personnel.

Although the analysis was conducted at the voivodeship level (NUTS2), which was fully justified, it would be equally important to analyze data with a lower aggregation level. It would be extremely valuable from the perspective of difficulties faced by the healthcare system in Poland.

The identification of areas and problems affecting the efficiency of the healthcare system in Poland may also be a hint for other countries with similar system solutions that also struggle with the same problems.

The paper explains the efficiency of the country's healthcare system while also paying attention to changes in its level, factors influencing it, spatial diversity and impact on the sector functioning.