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This study investigates the effect of the day of the week on the volatility of cryptocurrencies. Thus, we reveal investors' perceptions of the day of the week.

The EGARCH model consists of the day of the week for 2019–2022 and the volatility of 11 cryptocurrencies.

Empirical results show that the weekend harms cryptocurrency volatility. Also, there was positive cryptocurrency volatility at the beginning of the week. Our findings show that weekdays and weekends significantly impact cryptocurrency volatility. Besides, cryptocurrency investors are sensitive to market movements, disclosures, and regulations during the week. Holiday mode and cognitive shortcuts may cause cryptocurrency traders to remain passive on weekends.

This study has some limitations. We include 11 cryptocurrencies in the analysis by limiting cryptocurrencies according to market capitalizations. Further studies may analyze a larger sample. In addition, further studies may examine the moderator and mediator effects of other financial instruments.

The empirical results have research, social and practical conclusions from different aspects. Our analysis may contribute to determining trading strategies, risk management, market efficiency, regulatory oversight, and investment decisions in the cryptocurrency market.

The calendar effect in financial markets has extensive literature. However, cryptocurrencies' weekday and weekend effect needs to be adequately analyzed. Besides, studies analyzing cryptocurrency volatility are limited. We contribute to the literature by investigating the impact of days of the week on cryptocurrency volatility with a large sample and current data.

This research aims to examine the time-varying behavior of the Weekend, Turn-of-the-Month, January, and Halloween effects in eight foreign exchange rates against the U.S. dollar from the Adaptive Market Hypothesis (AMH) perspective. It also explores whether these anomalies can generate excess returns compared to a buy-and-hold strategy.

Using daily return data from January 2004 to December 2023 in a rolling-window framework, the study employs the Concordance Coefficient test and AR-GARCH models to assess the time-varying behavior of four calendar anomalies. It also assesses the statistical significance of the trading strategies implied by these anomalies using t-tests and applies F-tests for subperiod analysis.

The results reveal a generalized time-varying presence of calendar anomalies in emerging currencies and, to a lesser extent, developed currencies. However, the trading strategies implied by these anomalies generally did not show statistical significance, except for the Turn-of-the-Month effect, which exhibited statistically significant unprofitability.

The study pioneers an analysis of five calendar anomalies across various currencies from the standpoint of the AMH and proposes case-specific explanations for their occurrence. It also examines the potential for the anomalies’ implied trading strategies to generate excess returns compared to a straightforward buy-and-hold strategy. Additionally, the study introduces the recently developed Concordance Coefficient test as a valuable alternative to other non-parametric methods.

This study examines the impact of outcome uncertainty on the National Football League (NFL) secondary ticket market prices. As a demand-driven market, it is essential to comprehend how resellers respond to outcome uncertainty, one of the consumer demand factors in sports.

Using real-time ticket prices and money lines as a proxy of the probabilities of winning, this study employs a regression analysis and examines 33,554 price observations from the NFL’s secondary ticket market partner, StubHub.

The result shows a positive relationship between outcome uncertainty and secondary market ticket prices, indicating that resellers adjust the prices in response to the level of outcome uncertainty and put more value on games with greater uncertainty. This finding confirms the demand-driven nature of the secondary ticket market, as outcome uncertainty is one of the demand factors in sports.

This study links the uncertainty of outcome hypothesis with secondary ticket market pricing and fills a gap in the literature by providing an important perspective on games with uncertainty in the secondary ticket market. Outcome uncertainty has limited understanding in relation to secondary ticket market pricing despite its relationship with consumer demand. The positive relationship between outcome uncertainty and the ticket prices, grounded in real-time price data and win probability from sport betting markets, enhances our understanding of price determinations in the secondary ticket market.

This study aims to investigate the unique cultural attributes of a particular association. The research focuses on a single case study involving a civil society organization whose activities are focused within the Israeli Defense Forces (IDF). Specifically, the association under examination is a religious voluntary organization engaged in social activities within the Israeli Defense Forces.

Data collection employed a qualitative approach using the case study method, with twenty in-depth ethnographic interviews conducted. The research questions guiding the study are: What are the hybrid structural characteristics of the religious association? How has this hybrid structure influenced the organizational culture?

The study identifies a hybrid structure comprising community, familial, and bureaucratic features. It reveals a blend of clan and bureaucratic cultural elements within the organization, demonstrating adaptability to the ideology of the Israeli Defense Forces.

The research uncovers an innovative hybrid structure that successfully navigates bureaucratic challenges and fosters a familial atmosphere contributing to communal benefits.

In this paper, we focus on how and when organizations adopt different types of ambidexterity to facilitate projects that operate with fundamentally different time scales compared with the dominant functions of the organization.

Using a comparative case study design, four case studies were conducted of long-term projects in two similar manufacturing plants within the same organization.

We found organizations first use structural and sequential ambidexterity in change efforts, during which new process knowledge is developed. When structural and sequential ambidexterity are not viable, change agents use this developed knowledge to support contextual ambidexterity. This contextual ambidexterity allows change agents to move between distinct time conceptions of event time and clock time.

One of the limitations of this study was that it only focused on two plants within one organization in order to control for variation. Future studies should look at a wider range of companies, technologies and industries.

While structurally and temporally decoupling change efforts help with differentiation of new technological change, there are limitations with these efforts. It is important to build an organization’s contextual ambidexterity as well as organizational supports to facilitate switching between clock time and event time.

This paper helps explain how and when organizations use different types of ambidexterity in resolving temporal conflicts when implementing longer-term technological change in fast-paced manufacturing settings.

This study aims to analyze the morphological landscape of the urban tourism spaces in the Malioboro Main Street area to predict its future development and to assist in creating effective regional planning policies.

This study uses qualitative grounded theory, typo morphological analysis and place-centered mapping techniques.

From the observation, it was found that each element of the city image area has different components of the urban tourism space’s morphology. The urban tourism spaces in Malioboro Main Street are distributed in a centered, linear and scattered pattern, with zones dedicated to shopping, cultural experiences and cuisine. The specific elements of each zone, such as attractions, accommodations or amenities, determine the type of tourism offered, such as cultural, shopping and culinary tourism.

The study presented here may serve as a helpful guide for regulating and organizing policies that can form a sound basis for policy formulation. It mainly pertains to planning and structuring the Malioboro Main Street area, which currently needs a well-conceived urban tourism landscape development concept.

This study will have practical implications in projecting tourism development in the area through planning and structuring. The study can also be used as a basis and guideline for controlling, organizing and determining regulations and policies, ultimately serving as a wise foundation for policy formulation, particularly in planning and structuring the Cosmological Axis area, especially the Malioboro area.

The discussion of morphology is mainly limited to macro or micro scales, while the discussion of tourism space is generally limited to conceptual development. Conversely, this study aims to explore the unique landscape morphology of the Malioboro Main Street area, which serves as evidence of a productive space for urban tourism by typomorphological analysis through the approach of urban landscape elements, tourism elements and its activities. Thus, it may complement previous studies in urban areas dominated by tourism.

The principal objective of the study is to analyze the influence of ethnicity, culture and collective intelligence in entrepreneurial creativity, innovation and marketing of artisanal beer in Mexico.

The qualitative data have been gathered by conducting four workshops with twelve respondents in each workshop across four states of Mexico comprising Mexico City, Puebla, Queretaro and Guadalajara. These workshops were held for four hours during the pre-lunch period over the weekends, which was participated by a mix of entrepreneurs and consumers.

Artisanal entrepreneurship is driven by the culture, ethnicity, collective intelligence and frugal innovations. Ethnic products generate patriotic feeling and consumption for a social cause to encourage artisans at the grassroots with the local tags. Results also indicate that social media and crowd cognition play an important role in developing creative artisanal beer.

This study is founded on the theoretical maxims of social learning theory (SCT), social cognitive theory and theory of creativity. The contextual interpretation of SCT explains the socialization of concepts by modelling emotions and behavior to derive structural experiences as observed in artisanal entrepreneurship.

Entrepreneurs can develop brand emotions, boost anthropomorphic feelings and inculcate the sense of nationalism among consumers to market ethnic brands and develop social consciousness towards consumption of “Made in Mexico” products.

Artisanal beer face major challenge of customer outreach by enhancing the brand proximity and ethnic values. Ethnic products hold a strong image in niche market and need to be stimulated by the experience sharing through social media and community interactions.

This research study significantly contributes to the existing literature on ethnic entrepreneurship and creativity using innovative research approach.

This paper aims to illustrate the application and effectiveness of a marketing programme co-designed by supply- and demand-side stakeholders to reduce consumer food waste in restaurants.

This stakeholder-based marketing pilot study adopted the co-create, build and engage framework for programme design and implementation. Major stakeholders, interacting at the point-of-sale, participated in a series of focus groups, interviews and co-design. The research process informed the marketing mix, which aimed to provide value for all parties. The four-week pilot programme was delivered in a non-buffet-style commercial restaurant chain for 10 months. The amount of consumer food leftovers was measured and compared with pre-programme baseline data to evaluate programme effectiveness.

The results show that the marketing mix co-designed by restaurant stakeholders and consumers effectively reduced food waste by almost half in the pilot period. The profitability of the pilot restaurant increased as food costs decreased.

This research demonstrates how working with stakeholders from both the supply and demand sides can identify motivations and barriers. Insights gained in the research phase can inform the delivery of a marketing mix that reduces consumer food waste. This study demonstrates the marketing research, design, implementation and evaluation process for a marketing programme that reduced consumer food waste.

To effectively reduce consumer food waste, practitioners should not only focus on changing consumers’ behaviour. Co-designing solutions with food service stakeholders to address business and operation challenges is crucial to the attainment of a positive impact at the point-of-sale.

This research shows how marketing changes behaviour in individuals and business entities, contributing to positive environmental impact through waste reduction in the commercial food service sector.

This study aims to analyze government hotline text data and generating forecasts could enable the effective detection of public demands and help government departments explore, mitigate and resolve social problems.

In this study, social problems were determined and analyzed by using the time attributes of government hotline data. Social public events with periodicity were quantitatively analyzed via the Prophet model. The Prophet model is decided after running a comparison study with other widely applied time series models. The validation of modeling and forecast was conducted for social events such as travel and educational services, human resources and public health.

The results show that the Prophet algorithm could generate relatively the best performance. Besides, the four types of social events showed obvious trends with periodicities and holidays and have strong interpretable results.

The research could help government departments pay attention to time dependency and periodicity features of the hotline data and be aware of early warnings of social events following periodicity and holidays, enabling them to rationally allocate resources to handle upcoming social events and problems and better promoting the role of the big data structure of government hotline data sets in urban governance innovations.

By aligning the “Small is beautiful” and “Bleak house” theories, this study aims to examine how robotic working patterns affect employees’ working life and job satisfaction (JS) in Bangladeshi-owned ethnic minority businesses.

The study uses information from 40 face-to-face interviews of employees from 20 Bangladeshi restaurants in Greater London.

The findings suggest that workers are treated as “robots”, consistent with the “Bleak house” view of small businesses in this segment of the restaurant and hospitality industry. Owners expect employees to perform multiple tasks, to assume many responsibilities, to work long shifts, without any holiday allowances. Consistent with the “Small is beautiful model”, the findings underscore the lack of written employment contracts and the emergence of acute staff shortages.

The findings can inform owner-managers’ decisions to refine their HR strategies and improve the work conditions of employees in ethnic minority-owned restaurants. The “Small is beautiful” model highlights five key interventions for improving ethnic minority business work quality: recruit employees with first preferences for restaurant jobs, introduce flexible work arrangements, formalise work, improve market research and tackle acute staff shortages.

The study contributes novel insights into the small- and medium-sized enterprises (SMEs) and job quality literature by offering new qualitative-based findings on the negative impact of robotic work patterns on work quality and JS in ethnic minority SMEs.