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1 – 10 of 17Yousra Trichilli, Hana Kharrat and Mouna Boujelbène Abbes
This paper assesses the co-movement between Pax gold and six fiat currencies. It also investigates the optimal time-varying hedge ratios in order to examine the properties of Pax…
Abstract
Purpose
This paper assesses the co-movement between Pax gold and six fiat currencies. It also investigates the optimal time-varying hedge ratios in order to examine the properties of Pax gold as a diversifier and hedge asset.
Design/methodology/approach
This paper examines the volatility spillover between Pax gold and fiat currencies using the framework of wavelet analysis, BEKK-GARCH models and Range DCC-GARCH. Moreover, this paper proposes to use the covariance and variance structure obtained from the new range DCC-GARCH framework to estimate the time-varying optimal hedge ratios, the optimal weighs and the hedging effectiveness.
Findings
Wavelet coherence method reveals that, at low frequency, large zone of co-movements appears for the pairs Pax gold/EUR, Pax gold/JPY and Pax gold/RUB. Further, the BEKK results show unidirectional (bidirectional) transmission effects between Pax gold and EUR, GBP, JPY and CNY (INR, RUB) fiat currencies. Moreover, the Range DCC results show that the Pax gold and the fiat currency returns are weakly correlated with low coefficients close to zero. Thus, Pax gold seems to serve as a safe haven asset against the systematic risk of fiat currency markets. In addition, the results of optimal weights show that rational investor should invest more in Pax gold and less in fiat currencies. Concerning the hedge ratios results, the findings reveal that the INR (JPY) fiat currency appears to be the most expensive (cheapest) hedge for the Pax-gold market. However, the JPY’s fiat currency appears to be the cheapest one. As for hedging effectiveness results, the authors found that hedging strategies including fiat currencies–Pax gold pairs are most likely to sharply decrease the portfolio’s risk.
Practical implications
A comprehensive understanding of the relationship between Pax Gold and fiat currencies is crucial for refining portfolio strategies involving cryptocurrencies. This research underscores the significance of grasping volatility transmissions between these currencies, providing valuable insights to guide investors in their decision-making processes. Moreover, it encourages further exploration into the interdependencies of digital currencies. Additionally, this study sheds light on effective contagion risk management, particularly during crises such as Covid-19 and the Russia–Ukraine conflict. It underscores the role of Pax Gold as a safe-haven asset and offers practical guidance for adjusting portfolios across various economic conditions. Ultimately, this research advances our comprehension of Pax Gold’s risk-return profile, positioning it as a potential hedge during periods of uncertainty, thereby contributing to the evolving literature on cryptocurrencies.
Originality/value
This study’s primary value lies in its pioneering empirical examination of the time-varying correlations and scale dependence between Pax Gold and fiat currencies. It goes beyond by determining optimal time-varying hedge ratios through the innovative Range-DCC-GARCH model, originally introduced by Molnár (2016) and distinguished by its incorporation of both low and high prices. Significantly, this analysis unfolds within the unique context of the Covid-19 pandemic and the Russian–Ukrainian conflict, marking a novel contribution to the field.
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Fatma Ben Hamadou, Taicir Mezghani, Ramzi Zouari and Mouna Boujelbène-Abbes
This study aims to assess the predictive performance of various factors on Bitcoin returns, used for the development of a robust forecasting support decision model using machine…
Abstract
Purpose
This study aims to assess the predictive performance of various factors on Bitcoin returns, used for the development of a robust forecasting support decision model using machine learning techniques, before and during the COVID-19 pandemic. More specifically, the authors investigate the impact of the investor's sentiment on forecasting the Bitcoin returns.
Design/methodology/approach
This method uses feature selection techniques to assess the predictive performance of the different factors on the Bitcoin returns. Subsequently, the authors developed a forecasting model for the Bitcoin returns by evaluating the accuracy of three machine learning models, namely the one-dimensional convolutional neural network (1D-CNN), the bidirectional deep learning long short-term memory (BLSTM) neural networks and the support vector machine model.
Findings
The findings shed light on the importance of the investor's sentiment in enhancing the accuracy of the return forecasts. Furthermore, the investor's sentiment, the economic policy uncertainty (EPU), gold and the financial stress index (FSI) are the top best determinants before the COVID-19 outbreak. However, there was a significant decrease in the importance of financial uncertainty (FSI and EPU) during the COVID-19 pandemic, proving that investors attach much more importance to the sentimental side than to the traditional uncertainty factors. Regarding the forecasting model accuracy, the authors found that the 1D-CNN model showed the lowest prediction error before and during the COVID-19 and outperformed the other models. Therefore, it represents the best-performing algorithm among its tested counterparts, while the BLSTM is the least accurate model.
Practical implications
Moreover, this study contributes to a better understanding relevant for investors and policymakers to better forecast the returns based on a forecasting model, which can be used as a decision-making support tool. Therefore, the obtained results can drive the investors to uncover potential determinants, which forecast the Bitcoin returns. It actually gives more weight to the sentiment rather than financial uncertainties factors during the pandemic crisis.
Originality/value
To the authors’ knowledge, this is the first study to have attempted to construct a novel crypto sentiment measure and use it to develop a Bitcoin forecasting model. In fact, the development of a robust forecasting model, using machine learning techniques, offers a practical value as a decision-making support tool for investment strategies and policy formulation.
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Sally Helen Stone and Laura Sanderson
This paper considers the exhibition: UnDoing. This research-through-curation project examined interactions within existing spaces and situations. This established links between…
Abstract
Purpose
This paper considers the exhibition: UnDoing. This research-through-curation project examined interactions within existing spaces and situations. This established links between the selected exhibits, the gallery, the city and with the continuum of the previous exhibition.
Design/methodology/approach
Carefully selected architects, designers and artists were invited to contribute—those who pursued a contextual approach; whose practice explored the way buildings, places and artefacts are reused, reinterpreted and remembered.
Findings
Through the act of curation, this research uncovered a series of different approaches to constructed sites and existing buildings, from layered juxtaposition, the refusal to undo, to interventions of new elements within architectural works.
Research limitations/implications
Curation offered the opportunity to consider works of architecture and of art through the same lens, for direct comparisons to be made and the influence of one upon the other to be comprehended.
Practical implications
The examination processes the architect employs is similar to that of the artist; the development of an understanding of place, and from this synthesis, creative interpretation. However, despite the similarities in the starting position, the elucidation developed by the artist can be vastly different to that of the architect.
Social implications
The juxtaposition and new classifications created by the exhibition encouraged visitors to look at art, architecture and the city in a different way; to grasp the direct link between the different subjects; and the possibilities created.
Originality/value
The two driving factors for UnDoing were places of previous occupation and the city of Manchester. The qualities of surrounding constructed environment combined were combined with attitudes towards existing structures and places.
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Zhen Xu, Ruohong Hao, Xuanxuan Lyu and Jiang Jiang
Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on…
Abstract
Purpose
Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships.
Design/methodology/approach
We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python.
Findings
The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement.
Originality/value
This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.
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Jeffrey C. Eargle and Michael Mewborne
In this article, the authors – a social studies methods professor and geography research associate – make the case for considering the integration of Holocaust geographies into…
Abstract
Purpose
In this article, the authors – a social studies methods professor and geography research associate – make the case for considering the integration of Holocaust geographies into the middle and secondary curriculum, potential challenges that teachers may have in teaching Holocaust geographies are addressed.
Design/methodology/approach
Using an experience in delivering professional development on Holocaust geographies to teachers to frame the discourse within the article, the authors contend that a study of Holocaust geographies tests geography as a discipline, addresses current problems and supports student inquiry. Therefore, the inclusion of the Holocaust in the geography curriculum is both needed and valuable.
Findings
Examining the Holocaust spatially using geographical skills moves students away from the potential limits of studying the Holocaust temporally using only historical skills. Thus, the distance between past and present, although not ignored, is narrowed through the inquiry into spatial patterns and characteristics, providing the potential to bring greater focus on present-day antisemitism, persecution, genocide and authoritarianism.
Originality/value
Educators are encouraged to take up work that intersects the civic goals of both geography and Holocaust education, yet literature on these intersections is sparse. We call upon Holocaust education and geography education organizations to develop and provide support for teachers around Holocaust geographies.
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This paper aims to show how an Academic Literacies lens can contribute to a deeper understanding of writing for a professional doctorate (PD) by focusing both on the language of…
Abstract
Purpose
This paper aims to show how an Academic Literacies lens can contribute to a deeper understanding of writing for a professional doctorate (PD) by focusing both on the language of supervisors’ written feedback and on student and supervisor perspectives on feedback throughout Year 1 (Y1).
Design/methodology/approach
Firstly, written feedback summaries on formative assessments across two Y1 cohorts on a UK PD programme were analysed thematically to identify patterns in feedback practices. Secondly, two longitudinal, detailed student/supervisor case studies were developed, drawing on multiple data sources.
Findings
Supervisors’ written feedback enacted an encouraging dialogue around assessed writing, discursively constructing a sense of solidarity on the doctoral journey, focusing on the “long view”. Case study analysis, however, revealed tensions centred around jarring discontinuities in students’ feedback experience as they transitioned from formative to summative assessment at the end of Y1.
Research limitations/implications
The paper demonstrates that an Academic Literacies approach can offer valuable insights into the specific, situated context of writing for a distance learning PD and makes the case for greater attention to writing in contexts of partly taught doctorates.
Practical implications
Findings suggest that PD programmes should work towards providing continuity of feedback experience, through supervisor and examiner training and through assessment arrangements which support students to navigate challenging transitions between formative and summative phases of assessment.
Originality/value
This paper reports on an innovative research design which combined a textual “snapshot” of supervisory feedback, paying close attention to language, with detailed longitudinal case studies exploring perspectives on feedback over time. It contributes to doctoral writing research by throwing light on the relatively underexplored domain of writing in the taught phase of the PD. It contributes to doctoral education studies by highlighting the central role of feedback on writing in shaping the experience of PD researchers.
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Guangyu Xiao, Minwoo Lee, Choong-Ki Lee and Minseong Kim
This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination…
Abstract
Purpose
This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination brand value by stimulating consumer emotional engagement and value co-creation behaviors.
Design/methodology/approach
A questionnaire survey was conducted with 552 respondents who had viewed tourism live streaming in China. The data were analyzed using structural equation modeling.
Findings
The results revealed that TLSers’ expertise had the strongest influence on consumers and positively affected their attachment, trust, participation and citizenship behaviors and perceived destination brand value. Attractiveness and trustworthiness exerted positive but weaker effects on these variables.
Originality/value
This study contributes to the theoretical development of live-streaming research by demonstrating the distinct impacts of TLSer characteristics. Furthermore, this study expands the application of the social exchange theory and value co-creation in tourism research.
研究目的
本研究旨在确定影响目标消费者的旅游直播主(TLSers)的关键特征, 并检验这些特征如何通过激发消费者情感参与和价值共创行为来增强目的地品牌价值。
研究方法
对在中国观看过旅游直播的552名受访者进行了问卷调查, 采用结构方程建模分析数据。
研究发现
研究结果显示, TLSers的专业知识对消费者影响最大, 并积极影响他们的情感依恋、信任、参与和公民行为, 以及感知的目的地品牌价值。吸引力和可信度对这些变量的影响较弱但也是积极的。
研究创新
本研究通过展示TLSer特征的独特影响, 对直播研究的理论发展做出了贡献。此外, 本研究扩展了社会交换理论和价值共创在旅游研究中的应用。
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Pengyi Shen, Xuan Nie and Congcong Tong
Despite sponsorship disclosure regulations, many influencers circumvent regulations by posting hidden advertising in covert formats. However, the impact of influencer hidden…
Abstract
Purpose
Despite sponsorship disclosure regulations, many influencers circumvent regulations by posting hidden advertising in covert formats. However, the impact of influencer hidden advertising sponsorship disclosure (IHASD) on brand attitudes is complex and contradictory. To understand the influence mechanism clearly, we introduced the operational transparency framework and investigated the mediating effects of perceived manipulative intent and perceived authenticity as well as the relationship between them. The conditions under which the mediation effect occurs were also analyzed.
Design/methodology/approach
The authors conducted three experimental studies. Studies 1 and 2 examined the influence mechanism of sponsorship disclosure (present vs absent) and sponsorship disclosure prominence (explicit vs implicit) of influencer hidden advertising on brand attitudes (i.e. the mediating effect of perceived manipulative intent and perceived authenticity). Study 3 explored the moderating effect of consumers’ thinking styles.
Findings
The results revealed that sponsorship disclosure and sponsorship disclosure prominence of influencer hidden advertising weakened brand attitudes through perceived manipulative intent while enhancing brand attitudes through perceived authenticity. Perceived authenticity and perceived manipulative intent played a bidirectional chain mediating role. When consumers’ thinking style was experiential, the negative mediating effect of perceived manipulative intent was alleviated and the positive mediating effect of perceived authenticity was enhanced; this effect, though, was the opposite when consumers’ thinking style was rational.
Originality/value
This research contributes to influencer sponsorship disclosure literature through providing an enhanced comprehensive, in-depth theoretical explanation of the competing mechanisms of sponsorship disclosure effects.
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Obed Ofori Yemoh, Richard Opoku, Gabriel Takyi, Ernest Kwadwo Adomako, Felix Uba and George Obeng
This study has assessed the thermal performance of locally fabricated bio-based building envelopes made of coconut and corn husk composite bricks to reduce building wall heat…
Abstract
Purpose
This study has assessed the thermal performance of locally fabricated bio-based building envelopes made of coconut and corn husk composite bricks to reduce building wall heat transmission load and energy consumption towards green building adaptation.
Design/methodology/approach
Samples of coconut fiber (coir) and corn husk fiber bricks were fabricated and tested for their thermophysical properties using the Transient Plane Source (TPS) 2500s instrument. A simulation was conducted using Dynamic Energy Response of Building - Lunds Tekniska Hogskola (DEROB-LTH) to determine indoor temperature variation over 24 h. The time lag and decrement factor, two important parameters in evaluating building envelopes, were also determined.
Findings
The time lag of the bio-based composite building envelope was found to be in the range of 4.2–4.6 h for 100 mm thickness block and 10.64–11.5 h for 200 mm thickness block. The decrement factor was also determined to be in the range of 0.87–0.88. The bio-based composite building envelopes were able to maintain the indoor temperature of the model from 25.4 to 27.4 °C, providing a closely stable indoor thermal comfort despite varying outdoor temperatures. The temperature variation in 24 h, was very stable for about 8 h before a degree increment, providing a comfortable indoor temperature for occupants and the need not to rely on air conditions and other mechanical forms of cooling. Potential energy savings also peaked at 529.14 kWh per year.
Practical implications
The findings of this study present opportunities to building developers and engineers in terms of selecting vernacular materials for building envelopes towards green building adaptation, energy savings, reduced construction costs and job creation.
Originality/value
This study presents for the first time, time lag and decrement factor for bio-based composite building envelopes for green building adaptation in hot climates, as found in Ghana.
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Rafael Sartor de Oliveira, Mário Franco and Margarida Rodrigues
Cooperative agreements between universities and firms (U–F) have gained prominence. However, the literature on organisational culture and the formation of cooperation agreements…
Abstract
Purpose
Cooperative agreements between universities and firms (U–F) have gained prominence. However, the literature on organisational culture and the formation of cooperation agreements is scarce. This study aims to analyse, from the perspective of the managers of small- and medium-sized enterprises (SMEs) and those in charge in universities, the perceptions of the influence of organisational culture on this type of U–F cooperation.
Design/methodology/approach
To this end, multiple case studies were adopted, involving cooperation agreements between a Portuguese and eight SMEs incubated in UBImedical. Semi-structured interviews were used to gather information, aiming to understand the meaning, importance and possible obstacles caused by organisational culture in this U–F cooperation agreement.
Findings
Content analysis of the results obtained leads to the conclusion that cultural compatibility is a crucial factor for successful U–F cooperation. The exchange of knowledge, mutual trust and flexibility between those involved are identified as key determinants to build shared norms that allow a more productive, assertive union.
Practical implications
The study represents an important tool to support SME managers and those in charge of universities, as the evidence obtained can help them to define policies and actions with regard to the U–F cooperation process. More precisely, these SME and university managers could give more attention to culture in future cooperation agreements.
Originality/value
This study advances understanding of the role of organisational culture in a cooperation agreement since this was a gap identified in the literature on the topic. It also contributes to the existing body of work on U–F cooperation, demonstrating that organisational culture is considered important by partners in these agreements and should be adjusted towards compatible alignment of each party’s expectations.
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