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This article aims to analyze the relationships between the different categories of rare whiskies and the opportunities for investors and collectors.

This article uses indices representative of collectors, market performance and specific from 2008–2022 to a distillery and determine the returns. The author performs stationarity tests, cointegration procedures and the Granger non-causality test.

The results of this article indicates that average returns are positive. In addition, there is a wide range of annual returns, i.e. strongly negative and positive, leading to possible speculation over short periods. High and heterogeneous volatility accompanies these potential gains. The correlations between the different returns of rare whisky are close to zero, indicating potential gains in terms of portfolio diversification. This result is crucial for investors-speculators that benefit from an additional alternative asset. Cointegration relationships are more numerous in the short run than in the long run, confirming that rare whisky could present potential gains for investors, as collectors have in-depth knowledge of the relationships between the different markets.

Finally, the author discusses the implications for different categories of economic actors (investors, collectors, sellers and producers).

While there has been extensive research on understanding the effects of online reviews on product sales, there is not enough investigation of the inter-relationships between online reviews, online search and product sales. The study attempts to address this gap in the context of the Indian car market.

The research uses text mining and considers six important review features volume, valence, length, deviation of valence, sentiment and readability within the heuristic and systematic model of information processing. Panel data regression is used along with mediation analysis to study the inter-relationships between features of reviews, online search and sales.

The study finds that numerical heuristic features significantly affect sales and online search, numerical systematic feature affects sales and the textual heuristic and systematic features do not affect sales or online search in the Indian car market. Further, online search mediates the association between features of reviews and sales of cars.

Although only car sales data from India is considered in this research, similar relationships between review features, online search and sales could exist for the car market of other countries as well.

This research uncovers the unique role of online search as a mediator between review features and sales, whereas prior literature has considered review features and online search as independent variables that affect sales.

This teaching case aims to encourage reflection on the formulation of the strategic repositioning of an automotive dealership.

Built on the teaching case method, it portrays the situation of the Premium Motors automotive dealership in the face of a strategic repositioning. Management and the board discuss ways to minimize the impact of the coronavirus disease 2019 (COVID-19) pandemic on sales figures. The situation presents the possibility of entering a new product segment.

How to make consumers correctly understand the new positioning? The case is structured to enable reflection and teaching of marketing strategies, with each student having the possibility of putting themselves in the role of company managers. The environment and trajectory are also portrayed, broadening the perception of the studied company and providing devices for solving the emerging problems of the case.

The case becomes a tool to promote knowledge, from the implementation to the management of strategic repositioning. Thus, the teaching notes offer directions on how professors can use the teaching case with their undergraduate and graduate students in disciplines related to strategy and marketing.

This research investigates Airbnb’s financial implications in emerging economies and their potential to influence stock market profitability.

Employing a multifaceted approach, the study combines parametric and nonparametric tests, robustness checks, and regression analysis to assess the impact of Airbnb’s announcements on emerging economy stock markets.

Airbnb’s announcements affect emerging economies' stock markets with a distinct pattern of cumulative abnormal returns (CAR): negative before the announcement and positive afterward. Informed investors strategically leverage this opportunity through short selling before the announcement and acquiring positions following it. Regression analysis validates these trends, revealing that stock index returns and inbound tourism affect CAR before announcements, while GDP growth influences CAR afterward. Announcements pertaining to emerging economies exert a more pronounced impact on stock indices compared to city-specific announcements, with COVID-19 period announcements demonstrating greater significance in abnormal returns than non-COVID-19 period announcements.

This study advances existing literature through a comprehensive range of statistical tests, differentiation between emerging countries and cities, introduction of five macroeconomic variables, and reliance on credible primary Airbnb data. It highlights the potential for investors to leverage Airbnb announcements in emerging markets for stock market profits, emphasizing the need for adaptive investment strategies considering broader macroeconomic factors.

This hypothetical case study aims to revisit the classical model given by Henri Fayol whereby he put forward a set of 14 principles to guide managers in decision-making across organizations. The case study showcases the dilemma in which the top manager of an automobile company finds himself when some of the very basic principles – on which the whole discipline of management is founded – are ignored. It will also serve as an aid for faculty members in B-Schools to teach students the significance of basic management principles postulated many years back which stand relevant even in contemporary times.

This case study is based on a hypothetical scenario in the corporate world. Different incidents in a fictitious automobile manufacturing firm are presented and the corresponding principles given by Henri Fayol are inferred.

This case study highlights that decision-making gets complicated if fundamental principles of management are not complied with. The decision taken during each and every situation which has been discussed in this case study is contrary to the correct course of action as propounded by Fayol. Modern-day managers must acknowledge the relevance and importance of these principles for achieving success in business.

This case study underscores that even in this volatile business environment where most of the management practices are technology-driven, we cannot disregard the most elementary rules of management. The managers working at different levels in the organizational hierarchy may be guided to make the right decisions in situations similar to the ones described.

The purpose of this research is to investigate the short-term capital markets' reactions to the public announcement first local detection of novel corona virus (COVID 19) cases in 12 major Asian capital markets.

Using the constant mean return model and the market model, an event study methodology has been implied to determine the cumulative abnormal returns (CARs) of 10 pre and post-event trading days. The statistical significance of the data was assessed using both parametric and nonparametric test statistics.

First discovery of local COVID 19 cases had a substantial impact on all 12 Asian markets on the event day, as shown by statistically significant negative average abnormal return (AAR) and cumulative average abnormal return (CAAR). The single factor ANOVA result has also demonstrated that there is no variability among 12 regional markets in terms of short-term market responses. Furthermore, there is little evidence that these major Asian stock market indices differ significantly from the FTSE All-World Index which might suggest possible spillover impact and co-integration among the major Asian capital markets. The study further discovers that market capitalization and liquidity did not have any significant impact on market reaction to announcement.

The study's contribution might have been compromised by the absence of socio-demographic, technical, financial and other significant policy factors from the analysis.

These findings will be considerably helpful in tackling this unprecedented epidemic issue for personal and institutional investors, industrial and economic experts, government and policymakers in assessing the market in special circumstances, diversifying risk and developing financial and monetary policy proposals.

This paper is the first to examine the effects of local COVID 19 detection announcement on major Asian capital markets. This study will add to the literature by investigating unusual market returns generated by infectious illness outbreaks and the overall market efficiency and investors' behavioral pattern of major Asian capital markets.

Motivated by the increasing momentum of environmental, social and governance (ESG) investing, this research aims to test the impact of ESG-related news on stock returns, comparing different geographical areas to check whether the cultural background makes any difference.

Using a classic event–study methodology, this study measures extra returns following the broadcast of positive or negative ordinary news concerning ESG issues using a panel of major international companies located in Europe, North America and the Asia-Pacific (APAC) region.

ESG news are interpreted differently in different geographical areas. In Europe, bad news matter more than good news and produce a negative price impact. In the USA, a mirror picture emerges: good news matter more than bad news and produce a negative price impact. In the APAC area, ESG news are no news and are not correlated to significant extra returns. This study also shows that ESG reputation plays an important role and affects the impact of news on equity returns.

Both managers and equity investors need to be aware of the potential magnitude and direction of stock market’s reactions to news concerning ESG matters, taking also into consideration the location of the firm and the moderating effect of ESG reputation. Sustainability cannot be ignored anymore and need to be included into information data set and decision-making processes.

This study adds to the current literature insights on how ESG-related news impact in different geographical contexts. This study finds that news of similar tone may produce divergent effect on stock returns according to the prevailing cultural and economic interpretation of sustainability investments.

The coronavirus disease 2019 (COVID-19) outbreak in the first quarter of 2020 has caused a severe decline in stock markets worldwide. While prior studies in developed markets found that workplace closure can negatively impact the capital market (e.g. Ozili and Arun, 2020), lesser is known about how it impacts emerging capital markets, which may have different characteristics and behaviour (Harjoto et al., 2021). Hence, this study seeks to uncover stock performance around workplace closure dates of firms incorporated in ASEAN countries and investigates the role of accounting fundamentals in mitigating workplace closure policy's effects on stock performances.

Using an event study methodology, the authors measure the cumulative abnormal returns (CARs) around workplace closure dates. The authors then use cross-sectional analysis to analyse whether the accounting fundamentals, specifically profitability, cash flow, and leverage, are associated with the CAR. This cross-sectional study involves 1,720 firms that are incorporated in the ASEAN countries.

This analysis indicates that, on average, ASEAN capital markets react negatively to workplace closure policies. The authors then find that the CARs around workplace closure dates are positively associated with the current ratios and are negatively associated with long-term debt ratios. This study’s results thus indicate that firms with a higher liquidity and a higher solvency experience a less adverse impact of the COVID-19 pandemic than other firms. The authors also find that the associations are more robust for (1) firms in industries more affected by COVID-19 and (2) firms located in countries with more severe cases. Additionally, contrary to this study’s expectation, the authors do not find meaningful associations between CARs around workplace closure dates and firms' cash flow from operation and profit respectively. This study’s results suggest that investors view prior performances related to firms' ability to generate operating cash flow and profit as less relevant to measure firm performance around the workplace closure event.

This study’s results contribute to studies examining fundamental accounting roles during the COVID-19 era, specifically in emerging economies. The findings are critical for investors in understanding the company fundamentals associated with stock price performance in emerging markets during the recent health-related crisis.

Most studies analysing cross-sectional differences in stock returns during the COVID-19 era focus on industry-level differences and use observations from developed markets (Sinagl, 2020; Ramelli and Wagner, 2020). Studies using firm-level analysis in emerging markets are still limited. The authors expand prior studies by using firm-level analysis that spans six countries in ASEAN.

Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

This study aims to explore auto mechanics awareness of repairs and maintenance related to the car’s cybersecurity and provide insights into challenges based on current practice.

This study is based on an empirical study consisting of semistructured interviews with representatives from both branded and independent auto workshops. The data was analyzed using thematic analysis. A version of the capability maturity model was introduced to the respondents as a self-evaluation of their cybersecurity awareness.

Cybersecurity was not found to be part of the current auto workshop work culture, and that there is a gap between independent workshops and branded workshops. Specifically, in how they function, approach problems and the tools and support available to them to resolve (particularly regarding previously unknown) issues.

Only auto workshop managers in Sweden were interviewed for this study. This role was picked because it is the most likely to have come in contact with cybersecurity-related issues. They may also have discussed the topic with mechanics, manufacturers or other auto workshops – thus providing a broader view of potential issues or challenges.

The challenges identified in this study offers actionable advice to car manufacturers, branded workshops and independent workshops. The goal is to further cooperation, improve knowledge sharing and avoid unnecessary safety or security issues.

As cars become smarter, they also become potential targets for cyberattacks, which in turn poses potential threats to human safety. However, research on auto workshops, which has previously ensured that cars are road safe, has received little research attention with regards to the role cybersecurity can play in repairs and maintenance. Insights from auto workshops can therefore shed light upon the unique challenges and issues tied to the cybersecurity of cars, and how they are kept up-to-date and road safe in the digital era.