Sustainable Energy-based Cryptocurrency Mining Liang, Yingqi; Saner, Can Berk; Kwang Lim, Bryan Min ...
2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia),
2022-Nov.-1
Conference Proceeding
With the growing environmental concerns in energy-intensive cryptocurrency mining, it is crucial to investigate how renewable energy sources can be used to mitigate the negative impacts caused by ...cryptocurrency mining. This paper systematically analyzes whether cryptocurrency mining using sustainable energy would be a viable business model in the United States. It is found that using a 3.5MW hydropower system to supply energy to 1000 units of Bitcoin Miner S19 and 21 units of ECV18000 FreeCooler is superior both financially and economically over using conventional fossil fuel systems. The results and analysis indicate that the sustainable energy-based cryptocurrency mining has a high potential to promote an environmentally friendly and cost-effective paradigm for mining cryptocurrencies.
The effects of e-commerce institutional mechanisms on trust and online purchase have traditionally been understood in the initial online purchase context. This study extends this literature by ...exploring the role of e-commerce institutional mechanisms in the online repurchase context. In doing so, it responds to the emerging call for understanding the institutional context under which customer trust operates in an e-commerce environment. Specifically, this study introduces a key moderator, perceived effectiveness of e-commerce institutional mechanisms (PEEIM), to the relationships between trust, satisfaction, and repurchase intention. Drawing on the theory of organizational trust, and based on a survey of 362 returning online customers, we find that PEEIM negatively moderates the relationship between trust in an online vendor and online customer repurchase intention, as it decreases the importance of trust to promoting repurchase behavior. We also find that PEEIM positively moderates the relationship between customer satisfaction and trust as it enhances the customer’s reliance on past transaction experience with the vendor to reevaluate trust in the vendor. Consistent with the predictions made in the literature, PEEIM does not directly affect trust or repurchase intention. Academic and practical implications and future research directions are discussed.
Trust violations of online sellers are widely reported in customer reviews and are often ascribed to the sellers’ lack of integrity. These reported violations reduce potential customers’ trust in the ...accused sellers, given the critical role of seller integrity in e-commerce. However, accused sellers and buyers often dispute the ascriptions of trust violations (e.g., sellers may argue that a violation is due to their lack of competence instead of their integrity). The trust repair literature has inadequately focused on effective strategies to repair reported integrity-based trust violations in ascription disputes. Drawing upon attribution theory and individuals’ cognitive sensemaking process regarding trust violations, we propose an account-based approach through re-ascription and stability attributions, enabling accused sellers to repair potential customers’ trust in them in the event of such disputes. We theorize the effectiveness of this approach by considering the contingent role of the accused seller’s reputation. The results of our laboratory experiments confirm the effectiveness of our approach in repairing potential customers’ trust for sellers with a high reputation but not for sellers with a low reputation. We further investigate the effectiveness of disclosing substantive amends (i.e., financial compensation) made by the accused seller to the victim as an alternative approach to repairing potential customers’ trust in sellers with a low reputation. The results reveal the significant effects of disclosing substantive amends on repairing potential customers’ trust in the seller, regardless of the seller’s reputation.
By tracking consumers’ browsing and purchase history, web personalization generates taste-matched recommendations for each consumer to stimulate purchases. In addition to taste-matching, mobile ...personalization matches recommendations to a consumer’s physiological need and current location. These two additional features, referred to as need-matching and location-matching, are believed to be enablers of unplanned purchases. However, mobile advertisers may not be able to generate recommendations that meet all personalization criteria. Hence, mobile recommendations may be imperfect. We examine two questions in relation to imperfect recommendations. First, how do we use a descriptor to promote such recommendations? Second, what personalization criterion should be downplayed to induce unplanned purchases? Drawing upon the theory of mood congruence, we theorize that the effect of imperfect recommendation on consumers’ unplanned purchases depends on their mood. We conducted three field experiments to test our hypotheses. Our findings indicate that (1) consumers in positive moods are more likely to form an urge to buy than those in negative moods, and this difference is larger when the descriptor is partial than when it is complete (Experiment 1); (2) need-matching is more influential on urge to buy for consumers in negative moods than for those in positive moods (Experiment 2); and (3) for taste-and-need-matched recommendations, location-matching exerts a stronger effect on the urge to buy for consumers in negative moods than for those in positive moods (Experiment 3). We validated the relevance of our research findings to practice through interviews with senior executives in personalization solution providers. Pathways for enhancing practical impacts of this line of research are recommended.
shows a strict host tropism for reticulocytes. We identified transferrin receptor 1 (TfR1) as the receptor for
reticulocyte-binding protein 2b (PvRBP2b). We determined the structure of the N-terminal ...domain of PvRBP2b involved in red blood cell binding, elucidating the molecular basis for TfR1 recognition. We validated TfR1 as the biological target of PvRBP2b engagement by means of TfR1 expression knockdown analysis. TfR1 mutant cells deficient in PvRBP2b binding were refractory to invasion of
but not to invasion of
Using Brazilian and Thai clinical isolates, we show that PvRBP2b monoclonal antibodies that inhibit reticulocyte binding also block
entry into reticulocytes. These data show that TfR1-PvRBP2b invasion pathway is critical for the recognition of reticulocytes during
invasion.
Triboelectric nanogenerators (TENGs) based energy harvesting is considered as a highly efficient approach for mechanical-to-electrical energy conversion based on contact electrification and ...electrostatic induction. Although triboelectrification is exhibited by almost all substances, chemists and material scientists have performed extensive investigations through theoretical analysis and practical applications to promote further development of TENGs. However, there are various parameters related to triboelectric materials and its output performance, which are required to be optimized for further improvement of efficiency and stability of TENGs. Especially, extensive research effort has been dedicated in engineering triboelectric materials to improve the output performance. However, the industrial application of TENG is still limited by low charging and power conversion efficiency. This review comprehensively discusses the recent progress in improvement of the output performance of TENGs based on different strategies and principles. Moreover, this review also suggests a holistic approach for the design and integration of charge boosting and power management with TENGs. The key impact of this review includes the discussion regarding physical and chemical modification based multidimensional engineering as well as different charge boosting, and power management strategies for the further advancement of TENGs. Moreover, the review also further introduces the applications of TENGs in emerging fields, such as wearable electronic devices and implantable medical devices. Finally, the challenges and future prospective are discussed, thereby guiding further research priorities.
Concept for increasing the output performance of TENGs have been reported here. The output performance of TENG can be increased by modifications such as physical or chemical and charge boosting methods. The energy transfer from the TENG can be maximized by integrating it with power management systems to manage and optimize the output performances of the TENG for practical applications. Display omitted
•This review places great emphasis on the working mechanism, material selection, performance improvement strategies for TENGs.•The key impact includes physical and chemical modifications of materials, charge boosting and power management of TENGs.•Some recent emerging applications of enhanced TENGs in wearable sensors and implantable devices have been discussed.•The perspectives of the challenges and future research directions of TENGs are highlighted.
In today’s emerging and competitive e-marketplaces, sellers must take competitive action to improve their sales performance. E-marketplace platform operators offer sellers a portfolio of ...platform-based functions that are intended to enhance competitiveness. However, little is known about how these platform-based functions can be used at the repertoire level to improve the sales performance of e-marketplace sellers. Extending the competitive repertoire theory to the e-marketplace context and integrating it with the e-commerce literature on reputation, we posit that a seller could improve sales performance by using these functions as a repertoire, featuring such structural characteristics as large volume, high complexity, and heterogeneity. We also posit that the performance impact of this repertoire approach to function use varies depending on seller reputation, manifested as customer rating. We empirically examined the hypotheses with a unique longitudinal dataset consisting of 43,992 seller-week observations from Taobao, one of the largest e-marketplaces in the world. Our analyses yield a set of interesting findings that unveil more nuanced theoretical relationships between different structural characteristics of the platform-based function repertoire and sales performance under different levels of seller reputation. We elaborate on how these findings contribute to the e-marketplace literature in the information systems field and the competitive action research in the strategy field. We also discuss implications for practice and make suggestions for future work.
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