ABSTRACT
Businesses are very cautious about their supply chain. Any delay or disruption may lead to unimaginable loss. The COVID-19 scenario has taken this concern to an epic hyper. Businesses could not meet their customer's needs due to the lack of Human Resource during the prolonged lockdown. Companies had to either downsize or shut down. Businesses started searching for means to operate their processes with as low resources as possible. Thus, many started adopting Robotic Process Automation though it is still evolving. There are many literatures that discuss the implementation of RPA in varied streams like accounting, finance, HR, and others. Yet there is a very limited study that has focused on RPA implementation in supply chain processes. The proposed chapter showers light on the adoption of RPA in the varied stages of supply chain. A complete real-time automation use case on invoice processing is also discussed. This chapter aims to help researchers, RPA enthusiasts, and entrepreneurs to realize the time, effort, and economic benefits of implementing RPA. Thus, encouraging them to adopt RPA in their supply chain processes. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The purpose of this research is to develop a model that clarifies the role of personality traits, motivation, and lifelong learning in the context of distance learning. Specifically, the current study hypothesis that personality traits of extroversion, agreeableness, consciousness, neuroticism, and openness correlate significantly with individuals' attitudinal-behavioral disposition of motivation, which would also impact lifelong learning. Due to the dynamic process of learning foreign languages and the belief that fluency in other languages offers economic benefits and practical applications, foreign language learning provides a suitable context for the present study. Therefore, we hypothesize that individuals who learn foreign languages are also the most likely to engage in lifelong learning. In addition, the data is collected by the fully online learning system as a result of the Covid 19 disease's spread. This makes the study even more meaningful to the study of online learning and distance education. In the present study, seven latent variables are developed and tested, totaling 45 measurement items. The survey is conducted to 200 undergraduates from east Malaysia, and only students currently enrolled in foreign language courses will be chosen as respondents. The PLS-SEM will be used to analyzing the data, and we employ two-stage approach for data analysis: (i) measurement model and (ii) analysis of the structural model. The work will provide critical information and practical contributions in line with the Malaysia National Higher Education Strategic Plan—promoting the culture of lifelong learning in on-line context. © 2022 Association for Computing Machinery.
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In order to improve the economic benefits of enterprises under continuing influence of COVID-19, the technological innovation effect of industrial chain under the ‘double cycle' pattern in the post epidemic era is studied in this paper. The fractional planning and integral planning functions of the industrial chain are obtained by constructing the CCR model, and the BCC model calculation of the innovation effect of the enterprise industrial chain is realised by the Chames-Cooper transformation. The data efficiency value of technological innovation effect of industrial chain under the ‘double cycle' pattern is obtained via the SBM network model for analysis on the technological innovation effect of industrial chain. The experimental results show that the effect of industrial chain technological innovation is analysed from the aspects of main business income and the profit margin of enterprises extending the industrial chain and connecting the industrial chain. The highest profit margin after connecting the industrial chain technological innovation is 34.2%, which proves that technological innovation can improve the economic benefits of enterprises. Copyright © 2023 Inderscience Enterprises Ltd.
ABSTRACT
The Covid-19 pandemic has caused consumers to fear and feel anxious about doing activities outside their homes, such as shopping. Thus, they switched to e-commerce for sustainable consumption. This study focuses on sustainable consumption represented with the variables of perceived effectiveness of e-commerce platform (PEEP), economic benefits, interactivity, and pandemic fear. This study uses the Uses and Gratification Theory (UGT) to determine consumer motivation and purchase intentions. It explores the relationship between PEEP, economic benefits, interactivity, and sustainable consumption, with pandemic fear as a moderating variable. The analysis was conducted from February to July 2021, with e-commerce being the object of study. The study uses purposive sampling based on the criteria of respondents who have made a transaction at least once in one of the marketplaces in Jakarta, Indonesia. An online survey was employed to test 95 respondents consisting of Millennials and Generation Z who are active e-commerce users in Indonesia. The moderated regression analysis (MRA) or interaction test was applied to analyze the data. The results of the study found that pandemic fear can moderate PEEP's relationship with economic benefits and interactivity that can increase sustainable consumption. The research findings also prove that relying on interactivity in the buying process encourages them to use e-commerce. E-commerce can help consumers who are limited in making transactions due to fear of spreading the Covid-19 virus to fulfill sustainable consumption. © Evi Susanti, Layla Hana Marisa, Endri Endri, 2022.
ABSTRACT
Rooted in conservation of resources (COR) theory, this study investigated the effects of perceived threat severity (PTSE) and susceptibility (PTSU) of COVID-19 pandemic on residents’ hospitality toward tourists. The mediating role of COVID-19-caused stress and the moderating role of economic benefits from tourism were addressed. Data were collected from 281 destination residents in Xiamen and analyzed using structural equation modeling. Findings indicate that the negative effect of PTSE on residents’ hospitality toward tourists is stronger than that of PTSU, and both effects are partially mediated by COVID-19-caused stress. Furthermore, economic benefits from tourism significantly moderates the effects of PTSE, PTSU, and COVID-19-caused stress on residents’ hospitality toward tourists, and these effects are insignificant for residents with high economic benefits from tourism. Theoretically, this study advances literature on residents’ attitudes toward tourism by introducing COR theory to build a framework centered on resource loss and replenishment. Practically, useful strategies are proposed to reduce the negative effects of PTSE and PTSU of COVID-19 pandemic and thus foster residents’ hospitality toward tourists. [ FROM AUTHOR] Copyright of Journal of Sustainable Tourism is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
E-commerce is an emerging market for every business and it has been started to discuss whether the new pandemic context changed the dynamics of this platform. The aim of this study is to investigate how pandemic anxiety has influenced the relationship between the perceptions of e-commerce platforms and purchase intentions. This study examines the moderation effect of pandemic anxiety on the relationship between the effectiveness and economic benefits of e-commerce platforms and online purchase intention. 513 individuals participated in the cross-sectional research survey in which, the perceived effectiveness of e-commerce platforms, economic benefits, pandemic anxiety, and online purchase intentions were measured. The quantitative analysis revealed that pandemic anxiety negatively moderates the relationship between the economic benefit and online purchase intention. Pandemic anxiety seems to alter the economically oriented customer choices and intentions. Our findings reveal that pandemic anxiety negatively moderates the economic benefits and purchase intentions relationship in e-commerce. Individuals in the face of the pandemic threat, seem to choose to invest their material resources to save biological entities and withdrawal from seeking cost reduction in e-commerce activities. We think that the priority of economic benefit in e-commerce changed to saving health due to the pandemic context. © All rights reserved 2022 Transnational Press London
ABSTRACT
The spread of the COVID-19 epidemic in 2020 has extremely serious negative impacts on the global freight supply chain with regional port groups as its core. In order to reconstruct the global freight supply chain as soon as possible, alleviate the vicious competition of regional port groups and promote the development of regional integration, the advantages of port integration are increasingly prominent. To this end, based on Gounod's game theory, a three-stage game model of port integration is constructed with the overall objective of obtaining the maximum economic benefits for the regional port group, based on the current characteristics of the global freight supply chain impacted by the COVID-19 epidemic, and empirical analysis is conducted using the data of the Liaoning port group, and the reverse induction method is used to quantitatively analyze the specific impact of regional port integration on the economic benefits of the port and determine the performance of the regional port group under the background of the epidemic The theoretical basis is laid for the rational decision of port managers. The calculation results show that there is a threshold effect in the integration process of the Liaoning regional port group, and the gradual deepening of the integration of the Liaoning regional port group can effectively mitigate the negative impact of the COVID-19 epidemic on the regional port group. © 2021 SPIE
ABSTRACT
Since the State Council of China issued the 'Outline of Action to Promote the Development of Big Data' in 2015, which proposed a top-level design for big data development from a long-term perspective, the related industry had ushered in a rapid way. At present, under the background of accelerating digital transformation and post COVID-19, the social and economic benefits of data assets, especially the value of financial data turn out to be more prominent. In this paper, we analyze four exploration aspects of commercial banks around big data application: constructing enterprise-level big data platforms, strengthening the capability of risk control, innovating financial products and services, optimizing business processes. Meanwhile, giving the typical cases for all of these practices, we illustrate how the bank's decision-making transformed from 'experience-dependent' to 'data-based' that enable banks to improve business performance, assess credit risks and allocate resources scientifically. Generally, we hold the view that big data technology has become an important means for commercial banks to meet the emerging financial demands, respond to the competition of the fintechs and the high-level opening-up trend. At last, this paper suggests banks enhance the core competitiveness through big data deep application with facing challenges such as insufficient implementation of big data strategy, lack of data governance system, imperfect organizational structure as well as scarcity of data mining talents. © 2021 IEEE.
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Sufficient lighting has a substantial impact on the health, comfort, and performance of building occupants. Researchers frequently focus on daylighting for its psychological, physiological, and economic benefits to human well-being. However, the COVID-19 pandemic demonstrated that these wellness considerations are no longer optional features of a building, but rather a necessary component of providing a comfortable and healthy living environment. Everyone must adhere to the stay-at-home order to mitigate pandemic transmission. This study aims to review the literature and recommends strategies that will improve building occupants’ daylighting and visual comfort. For the review, this study identified 41 peer-reviewed journal articles using a keyword search followed by a filter based on SCOPUS and Web of Science inclusion criteria. However, once the inclusion and exclusion criteria were applied, only 31 papers were chosen for evaluation. Thematic analysis of these 31 publications revealed eight tentative criteria for effective daylighting in buildings, categorised into three clusters: passive design, active design, and projected ideal daylighting based on daylight simulation tests. The results demonstrate that a passive design strategy provides improved illumination and is a more cost-effective way to achieve appropriate daylight and visual comfort in a facility. Despite its limitations, the study recommends the hybrid technique of passive and active design as a helpful experimental tool for future research targeted to increase the interior environment’s quality. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Due to the COVID-19 outbreak, the Chinese government implemented nationwide traffic restrictions and self-quarantine measures from January 23 to April 8 (in Wuhan), 2020. We estimated how these measures impacted ambient air pollution and the subsequent consequences on health and the health-related economy in 367 Chinese cities. A random forests modeling was used to predict the business-as-usual air pollution concentrations in 2020, after adjusting for the impact of long-term trend and weather conditions. We calculated changes in mortality attributable to reductions in air pollution in early 2020 and health-related economic benefits based on the value of statistical life (VSL). Compared with the business-as-usual scenario, we estimated 1239 (95% CI: 844-1578) PM2.5-related deaths were avoided, as were 2777 (95% CI: 1565-3995) PM10-related deaths, 1587 (95% CI: 98-3104) CO-related deaths, 4711 (95% CI: 3649-5781) NO2-related deaths, 215 (95% CI: 116-314) O3-related deaths, and 1088 (95% CI: 774-1421) SO2-related deaths. Based on the reduction in deaths, economic benefits for in PM2.5, PM10, CO, NO2, O3, and SO2 were 1.22, 2.60, 1.36, 4.05, 0.20, and 0.95 billion USD, respectively. Our findings demonstrate the substantial benefits in human health and health-related costs due to improved urban air quality during the COVID lockdown period in China in early 2020.