Search results

According to the current body of literature published, the outbreak of coronavirus is estimated to have an immense influence both on the supply and demand sides of the tourism industry. The lockdown and the risk of disease has in/directly forced consumers to respond to their regular life patterns in general and consumption patterns in tourism, travel and hospitality operations in particular. Consumers have mostly begun using online shopping platforms for varying reasons, and online platforms have become a great opportunity for businesses to transform their regular operations and collect the individualized data of consumers across the globe. On the other hand, the service providers have had a short break in their operations by thinking about different ways on how to respond to possible changes both in production and consumption patterns. For instance, passengers, particularly those who are elderly and less risk aversive, are less likely to board on flights and take cruise tours in the short term. Using own cars instead of benefiting from car rental services, on the other hand, have appeared to be an alternative way of travelling to short-haul destinations. As a result, this chapter aims to provide a generic discussion of how the coronavirus is likely to influence the services operated by the aviation industry. The chapter, to a greater extent, benefits from the results of existing conceptual/empirical studies, media news as well as the reports of various international organizations such as UNWTO and IATA.

This chapter explained the findings of a research that is aimed at studying the effectiveness of cross-border knowledge transfer from Japanese companies to their business affiliates in Malaysia by looking into Japanese organizational culture and the mediating effect of the business affiliate’s learning intent. By focusing on attributes identified by existing literature, there were three aspects being investigated to study their roles in influencing the effectiveness of cross-border knowledge transfer. These aspects are intensive and extensive job training, employee involvement and human relations, and leadership styles. The results indicate that all three aspects indeed led to a higher learning intention. The research also found that the business affiliates’ learning intent significantly mediates the relationship between organizational culture and the effectiveness of cross-border knowledge transfer. This study provides academicians and human resource managers deeper insights on how to improve knowledge transfer in cross-culture organizations by managing organizational culture more effectively.

In any time and space and under any circumstance, we find peasants are never passive actors in their livelihoods and rural development. Instead, they always create space for manoeuvre in order to make changes. This chapter analyses the innovative actions taken by the majority of rural inhabitants in rural areas during the overwhelming modernization process, so as to affirm that peasants are the main actors of rural development. It is they who have shaped the transformation of rural societies and the history. Through the analysis, this chapter concludes that rural development is not an objective, a blueprint nor a design. It is not the to-be-developed rear field in modernization. It is not the babysitter for cities, nor a rehearsal place for bureaucrats to testify their random thoughts. Rural development is what peasants do. The path they have chosen reveals scenery so different from modernization. If we regard development as a social change, or a cross with influential meanings, we could understand rural development as peasants’ victories over their predicament. Villages accommodate not only peasants, but without peasants villages would surely vanish. In this sense, the most important part in rural development or rural change is peasants – their conditions and their feelings.

Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.

Good market timing skills can be an important factor contributing to hedge funds’ outperformance. In this chapter, we use a unique semiparametric panel data model capable of providing consistent short period estimates of the return correlations with three market factors for a sample of Long/Short equity hedge funds. We find evidence of significant market timing ability by fund managers around market crisis periods. Studying the behavior of individual fund managers, we show that at the 10% significance level, 17.12% of funds exhibit good linear timing skills and 21.32% of funds possess some level of good nonlinear market timing skills. Further, we find that market timing strategies of hedge funds are different in good and bad markets, and that a significant number of managers behave more conservatively when the market return is expected to be far above average and more aggressively when the market return is expected to be far below average. We find that good market timers are also likely to possess good stock selection skills.