Guanghao Wang, Chenghao Liu, Erwann Sbai, Mingyue Selena Sheng, Jinhong Hu and Miaomiao Tao
The purpose of this study is to examine Bitcoin's price behavior across market conditions, focusing on the influence of Bitcoin's historical prices, news sentiment and market…
Abstract
Purpose
The purpose of this study is to examine Bitcoin's price behavior across market conditions, focusing on the influence of Bitcoin's historical prices, news sentiment and market indicators like oil prices, gold and the S&P index. The authors also assess the stability of Bitcoin-inclusive hedging portfolios under different market conditions, for example, bearish, bullish and moderate market states.
Design/methodology/approach
This study uses the Quantile Autoregressive Distributed Lag model to explore the effects of different factors on Bitcoin's prices across various market situations. This method allows for a detailed analysis of historical trends, investor expectations and external market influences on Bitcoin's price movements and systematic stability.
Findings
Key findings reveal historical prices and investor expectations significantly influence Bitcoin in all market scenarios, with news sentiment exhibiting substantial volatility. This study indicates that oil prices have minimal impacts on Bitcoin, whereas gold is a stabilizing asset in bear markets, with the S&P index influencing short-term fluctuations. At the same time, Bitcoin's volatility varies with market conditions, proving more efficient as a hedging tool in bear and stable markets than in bull ones.
Originality/value
This study highlights the intrinsic correlation between Bitcoin's prices, news sentiment and financial market indicators, enhancing understanding of Bitcoin's market dynamics. The authors demonstrate Bitcoin's weak direct correlation with commodities like oil, the stabilizing role of gold in crypto portfolios and the stock market's indirect effect on Bitcoin prices. By examining these factors' impacts across various market conditions, the findings offer strategies for investors to improve hedging and portfolio management in cryptocurrency markets.
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Atanes Papoyan, Changhong Zhan, Guanghao Li and Xueying Han
The concept of green buildings (GBs) in contemporary building design has risen in popularity with the rapid economic development resulting from globalization. The primary…
Abstract
Purpose
The concept of green buildings (GBs) in contemporary building design has risen in popularity with the rapid economic development resulting from globalization. The primary objective of this research is to provide an impetus to improve the methods of green technology adaptation, taking the Russian Federation as an example.
Design/methodology/approach
Globally, the first green building rating systems were implemented in the 1990s. The Russian Federation had launched its national green building rating systems apart from the international green building rating systems that were implemented in the country.
Findings
Based on qualitative analysis, a common approach in the Russian market for certifying green construction was identified. The collected information can be considered evidence of market entry and aid in preparation for possible market shocks.
Originality/value
Furthermore, the study determined seven significant rating measures that were generally applied by various green building rating systems, and the most influential rating measure was “energy,” followed by “site,” “indoor environment,” “land and outdoor environment,” “material,” “water” and “innovation.” Additionally, this study determined the primary research endeavors of the analyses of contemporary green building rating systems and presented the scope for future research.
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Guanghao Wu, Xiuyi Shi and Jiajia Li
The purpose of this paper is to precisely measure the risk attitudes of Chinese agricultural laborers and then analyze the impact and mechanism of risk attitudes on the…
Abstract
Purpose
The purpose of this paper is to precisely measure the risk attitudes of Chinese agricultural laborers and then analyze the impact and mechanism of risk attitudes on the entrepreneurial choices of Chinese agricultural laborers.
Design/methodology/approach
This paper is based on the theory of expected utility function and utilizes the authoritative China Family Panel Studies (CFPS) to accurately measure the risk attitudes of 7,639 Chinese agricultural laborers through experimental methods. In the empirical analysis, this paper employed Probit, IV-Probit and mediation effect models to examine the research hypotheses.
Findings
First, agricultural laborers with the lowest risk appetite account for 54.8%, which is 8.69 times the number of agricultural laborers with the highest risk appetite. Second, agricultural laborers preferring risk are more likely to engage in entrepreneurship; this result has been validated through a series of robustness tests. Third, mechanism analysis shows that risk attitude drives the entrepreneurship of Chinese agricultural laborers through improving interpersonal trust, social interaction and formal credit behavior.
Originality/value
Existing research has mainly investigated the impact of risk attitudes on the entrepreneurial choices of the general population, with limited attention paid to agricultural laborers. The potential mechanisms in that process remain unclear, and the measurement results of risk attitude also require further precision. Based on experimental method, this paper not only helps clarify the relationship between risk attitudes and agricultural laborers entrepreneurship in China, but also provides policy recommendations to promote agricultural laborers entrepreneurship and drive rural development.
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Dion Hoe‐Lian Goh, Chei Sian Lee and Guanghao Low
Applications blending games with mobile content sharing have garnered much interest recently. In this paper, the authors aim to examine users' motivations for seeking and creating…
Abstract
Purpose
Applications blending games with mobile content sharing have garnered much interest recently. In this paper, the authors aim to examine users' motivations for seeking and creating content in the context of Indagator, a mobile content sharing game. The authors also seek to investigate the impact of games on these motivations.
Design/methodology/approach
The authors conducted a user study where 28 participants used Indagator for a week to create and share content (annotations). Participants were interviewed. All interview responses, and annotations sought (5,799) and generated (599) were manually examined and coded to ascertain motivations.
Findings
Motivations for seeking content include awareness, task performance, exploratory play, killing time, and socialising. Those for creating include altruism, task performance, competitive play, killing time, reminder of experiences, self‐presentation, and socialising. Additionally, games served as a motivator for mobile content sharing systems, forming a mutually beneficial ecology with content sharing.
Originality/value
Prior work has not examined motivations for using mobile content sharing games, and has typically employed surveys rather than actual use of such applications. Understanding motivations has implications for developers. The benefits of incorporating games include increasing awareness for the application and addressing the “cold‐start” problem inherent in many newly introduced applications.
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Maicom Sergio Brandao and Moacir Godinho Filho
This study aims to investigate the evolution of terminology in supply chain management (SCM) and its implications for the field’s strategic orientation. It also aims to understand…
Abstract
Purpose
This study aims to investigate the evolution of terminology in supply chain management (SCM) and its implications for the field’s strategic orientation. It also aims to understand how SCM terms adapt to interdisciplinary contexts, reflecting shifts in theoretical and practical approaches within the discipline.
Design/methodology/approach
This study uses a systematic literature review and analyzes over 3,500 unique SCM-related terms extracted from approximately 33,000 abstracts. By using Descending Hierarchical Classification and factor analysis, the research methodologically identifies key shifts in terminology and discerns underlying patterns.
Findings
This study categorizes terminological variations in SCM into three main clusters: product–agent, performance objective orientation and structure. These variations signal not only linguistic changes but also strategic shifts in SCM understanding and practice. Notably, terms such as “green,” “sustainable” and “circular” supply chains have emerged in response to evolving internal and external pressures and trends. In addition, this paper offers a nuanced understanding of these terminological adaptations, proposing a reference framework for navigating SCM’s evolving lexicon and highlighting global usage and geographical and cultural nuances in SCM discourse.
Research limitations/implications
This paper presents a reference framework that complements existing SCM definitions, fostering a shared understanding of SCM variations on a global scale. This framework enhances cultural sensitivity within the field and underscores SCM’s adaptability and flexibility. These insights offer a nuanced view of SCM dynamics, benefiting researchers and practitioners alike. Beyond terminology, this study sheds light on the interplay between language and SCM strategy, providing a valuable perspective for navigating the evolving SCM landscape. The study’s scope is constrained by the analyzed abstracts. Future research could broaden this analysis to encompass more SCM literature or delve deeper into the implications of terminological changes.
Practical implications
This study offers practitioners a reference framework for navigating the evolving lexicon of SCM. This framework aids in understanding the strategic implications of terminological changes, enhancing clarity and context in both academic and practical applications.
Social implications
By acknowledging global usage and variations, the research underscores the impact of geographical and cultural nuances on SCM discourse. This global perspective enriches the understanding of SCM as a dynamic and culturally sensitive field.
Originality/value
This research is novel in its extensive and systematic exploration of SCM terminology. This study offers a comprehensive analysis of how language evolves in tandem with strategic shifts in the field, providing a unique perspective on the interplay between terminology and strategy in SCM.