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Objetivo: Este estudo examinou a capacidade de desempenho financeiro e nao financeiro na previsäo do tempo de publicaçao de relatórios financeiros, moderada pela pandemia da COVID-19. Referenciái teórico: A teoria dos sinais postula que a administraçâo desempenha um papel crucial no fornecimento de informaçöes as partes interessadas sobre as condiçöes da empresa (Brigham & Houston, 2001). De acordo com Spence (1973), as empresas estao motivadas a fornecer informaçöes relevantes as partes interessadas. Se as condiçöes de desempenho sao boas, a empresa tende a acelerar o processo de apresentaçao de demonstraçöes financeiras. Por outro lado, se o desempenho for ruim, há uma tendencia a atrasar a publicaçao dos relatórios financeiros. O longo período de tempo para a publicaçao de relatórios financeiros pode indicar más noticias que a empresa tem, de modo que ela ainda tem que publicar as noticias para o público. Scott (2015) sugere que quando os gerentes souberem que há noticias desfavoráveis sobre a condiçao da empresa no futuro, evitarao publicar estas informaçöes ou pelo menos atrasaräo a apresentaçao das demonstraçöes financeiras. Método: O desempenho financeiro foi medido por quatro indicadores: lucratividade, liquidez e solvencia. Enquanto isso, o desempenho nao financeiro variável foi medido pelo indice de boa governança corporativa (GCG) e pela reputaçao dos auditores. O modelo proposto foi testado com base nos dados quantitativos coletados de 156 empresas de manufatura listadas na Bolsa de Valores da Indonesia (IDX) a partir de 2018 e 2020. A análise de regressao múltipla foi realizada para analisar e interpretar os dados. Resultados e conclusao: O resultado indica que a solvencia, a boa governança corporativa e a reputaçao do auditor foram preditores significativos do período de publicaçao do relatório financeiro. Entretanto, a capacidade preditiva de rentabilidade e liquidez no prazo de publicaçao nao foi considerada significativa. Além disso, os resultados mostram que a pandemia da COVID-19 modera a capacidade de rentabilidade e boa governança corporativa na previsao do prazo de publicaçao. Implicates da pesquisa: O indicador de desempenho financeiro e nao financeiro dá resultados diferentes na previsäo do RWPLK das empresas de manufatura na Indonesia. ROA e CR nao sao capazes de prever o RWPLK, mas DER, GCG, KAP sao capazes de prever o RWPLK. O papel da pandemia COVID-19 foi capaz de moderar a capacidade de ROA e GCG em prever o prazo para publicaçao de relatórios financeiros, mas foi incapaz de moderar a capacidade de CR, DER e KAP em prever o RWPLK. Originalidade/valor: O presente estudo fornece a primeira evidencia empírica sobre o papel moderador da pandemia COVID-19 na capacidade preditiva do desempenho financeiro e nao financeiro para o prazo de publicaçao das demonstraçöes financeiras.Alternate :Purpose: This study examined the ability of financial and non-financial performance in predicting financial reports publication time frame as moderated by the COVID-19 pandemic. Theoretical framework: Signal theory postulates that management serves a crucial role in providing information to stakeholders regarding the condition of the company (Brigham & Houston, 2001). According to Spence (1973), companies are motivated to provide relevant information to stakeholders. If the performance conditions are good, the company tend to speed up the process of presenting financial statements. Conversely, if performance is poor, there is a tendency to delay the financial reports publication. The long span of time for the publication of financial reports can indicate bad news that the company has so that it has yet to publish the news to the public. Scott (2015) suggests that when managers know there is unfavorable news about the condition of the company in the future, they will avoid publishing this information or at least delay the presentation of financial statements. Method/design/approach: Financial performance was measured by four indicators: profita il ty, liquidity and solvency. Meanwhile, variable non-financial performance was measured by the index of good corporate governance (GCG) and auditor reputation. The proposed model was tested based on the quantitative data collected from 156 manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2018 and 2020. The multiple regression analysis was performed to analyze and interpret the data. Results and conclusion: Result indicates that solvency, good corporate governance, and auditor reputation were significant predictors of the time span of financial report publication. However, the predictive ability of profitability and liquidity on the publication timeframe was found to be not significant. Furthermore, the results show that the COVID-19 pandemic moderates the ability of profitability and good corporate governance in predicting the publication timeframe. Research implications: Financial and non-financial performance indicator gives different results in predicting the RWPLK of manufacturing companies in Indonesia. ROA and CR are not able to predict RWPLK, but DER, GCG, KAP are able to predict RWPLK. The role of the COVID-19 pandemic was able to moderate the ability of ROA and GCG in predicting the timeframe for publication of financial reports, but was unable to moderate the ability of CR, DER and KAP in predicting RWPLK. Originality/value: The present study provides the first empirical evidence on the moderating role of the COVID19 pandemic on the predictive ability of financial and non-financial performance for financial statement publication time frame.
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After the COVID-19 pandemic, the bio-industry is becoming increasingly important. Therefore, it is necessary to respond to the changed environment after COVID-19 by analyzing the bio-industry situation before the COVID-19 pandemic. In addition, Korean bio-industry is a very important industry for Korea's economic growth, so huge investments are being made in the development of bio-companies. Therefore, it is necessary to analyze the effect of innovation capabilities on the performance of the Korean bio-industry. Korea's bio-industry has been developing under the leadership of the government. Thus, Korea's bio-companies need various forms of innovation to achieve sustainability through competitive advantage on their own. The objective of this research is to find the competitive advantage factors that improve the innovation ability of the Korean bio-industry. Therefore, the elements that increase a company's innovation capability were studied in order to uncover competitive advantage factors that improve the Korean bio-industry's innovation capability, and the effect on corporate performance was analyzed. Using samples from the ‘Korean Bio-industry Survey', the current state of the Korean bio-industry was examined through a review of all bio-industry enterprises. In addition, each of the eight bio-industries was examined using Korea's industrial classification system. As an analysis method, multiple regression analysis of SPSS 25 was performed to analyze how the six input factors have a complex effect on the output factor. This study discovered that R&D intensity, machine investment, and human resource characteristics all had an impact on the business performance of Korean biotech enterprises. In eight bio-sectors, elements affecting company success were defined differently. Therefore, through this study, Korean bio-companies must understand their own industrial characteristics, and develop factors that affect business performance through strategic operational management. In addition, based on the results of this study, companies should strengthen the innovation capabilities of the bio-industry to survive post-COVID-19, analyze changes in innovation capabilities, and promote sustainable growth by strengthening key innovation factors.
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In recent years, the rice cake market has grown considerably in terms of research and development of products suitable for consumer needs and beneficial to health at the same time. Since the outbreak of COVID-19, the number of consumers consuming antioxidant-rich foods and immunity-boosting foods to improve health and promote healthy eating habits has increased. Pistachio rice cakes have been tested and found to be high in polyphenols, which have good antioxidant activity and strengthen the immune system. Therefore, research was conducted on pistachio rice cakes to develop safe, health functional, and sustainable food. In order to maximize the sales potential of pistachio rice cakes, a survey was conducted among Korean adults to investigate perception of pistachio, pistachio rice cake purchasing behavior, and popularization plans. Pearson's correlation analysis was performed to examine the correlation between pistachio perception, pistachio rice cake purchasing behavior, and pistachio rice cake popularization measures, and they were found to have a close relationship. In addition, as a result of multiple regression analysis, perception and purchasing behavior of pistachio rice cake products were found to have a significant positive (+) effect on rice cake technology development, development of brand specializing in rice cakes, and cultivation of traditional rice cake experts. This study suggests that continuous research and development of food safety and sustainability of rice cakes are required, and it is expected to be utilized as basic data to form a research basis that can be a strategy for increasing sales in the rice cake industry.
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PurposeThe objective of this study was to analyse the influencing factors of citizens' dissatisfaction with government services during the COVID-19 pandemic to help government departments identify problems in the service process and possible countermeasures.Design/methodology/approachThe authors first used cosine interesting pattern mining (CIPM) to analyse citizens' complaints in different periods of the pandemic. Second, the potential evaluation indices of customer satisfaction were extracted from the hotline business system through a hypothesis analysis and modelled using multiple regression analysis. During the index transformation and standardization process, a machine-learning algorithm of clustering and emotion analysis was adopted. Finally, the authors used the random forest algorithm to evaluate the importance of the indicators and obtain the indicators more important to citizen satisfaction.FindingsThe authors found that the complaint topic, appeal time, urgency of citizens' complaints, citizens' emotions, level of detail in the case record, and processing timeliness and efficiency significantly influenced citizens' satisfaction. When the government addresses complaints in a more standardized and efficient manner, citizens are more satisfied.Originality/valueDuring the pandemic, government departments should be more patient with citizens, increase the speed of the case circulation and shorten the processing period of appeals. Staff should record appeals in a more standardized manner, highlighting themes and prioritizing urgent cases to appease citizens and relieve their anxiety.
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PurposeThis study investigated the relationship between generalised trust and psychological well-being in college students, considering the social support obtained from their social networks via Twitter and face-to-face (FTF) interactions. Initially, the authors planned to collect data at the beginning of the first semester in 2019 for fine-tuning the model as a pilot study, and in 2020 for the main study. However, due to the coronavirus disease 2019 (COVID-19) pandemic, the data helped authors to analyse changes in young people's psychological situation before and during the pandemic in Japan.Design/methodology/approachThe study conducted a self-report survey targeting college students in the Kanto region in Japan. Data were collected from mid-May to the end of June 2019, as well as in early to mid-June 2020, with 304 and 584 responses, respectively. The collected data were analysed using structural equation modelling and a multiple regression analysis.FindingsThe findings using the 2019 data set indicated that (a) students mostly used Twitter for information gathering and sharing of hobbies, and they received both informatics and emotional support from Twitter, and from FTF interactions;(b) there were direct positive effects of generalised trust and social skills on their psychological well-being;and (c) students with lower levels of generalised trust tended to interact with very intimate individuals using Twitter to obtain social support, which did not have any effects on their improvement of psychological well-being. From the 2020 data set, the authors also found that, like 2019, generalised trust and social skills had direct effects on the improvement of psychological well-being. Additionally, we observed that students spent more time using Twitter and received more emotional support from it, as most people tried not to meet other people in person due to the first State of Emergency in Japan. Similarly, the authors found that in 2019, only social support from very intimate partners via FTF communication had slightly significant effects on improving their psychological well-being, whereas in 2020, their expectation for social networks via FTF had decreased their levels of psychological well-being, but their social support from Twitter had slightly significant effects on their improvement of psychological well-being. One of the main reasons for this might be due to the challenge of meeting with others in person, and therefore, social support from Twitter partially played a role that traditionally was only beneficial through FTF communication.Originality/valueWe understand that this is one of the few social psychological studies on social media that collected data both before and during the COVID-19 pandemic. It provides unique evidence in demonstrating how the COVID-19 pandemic has changed college students communication behaviours.
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Despite extensive efforts to support teachers with the integration of information and communication technologies (ICT) into their classroom practice, current research reports that teachers face immense challenges when integrating ICT into their teaching. This issue has become even more relevant with the rapid spread of the COVID-19 virus, forcing schools around the world to close for an indefinite period of time and thus to offer remote digital learning solutions. Against this background, this study focused on examining the predictors of pre-service teachers' prospective ICT use and investigated the heterogeneous results of previous research related to ICT use and gender. Following the ‘will, skill, tool' framework, the study examined relevant factors of pre-service teachers' (N = 103) prospective ICT use for teaching and learning processes by means of multiple regression analyses. The analyses included pre-service teachers' background characteristics, ICT profiles (attitudes and self-efficacy), digital competencies and use of digital tools in order to explore their role in future in-class use of ICT. They also show that there are no gender differences in pre-service teachers' prospective ICT integration. However, male pre-service teachers hold more positive attitudes towards ICT use than their female counterparts. Additionally, the findings reveal that the two strongest predictors of pre-service teachers' future ICT use are their attitudes and perceived competency to teach and implement technology in their teaching practices. Finally, the results provide important information about teachers' training needs. Implications of the results and further research are discussed.
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This study is conducted to investigate the effectiveness and readiness of teaching and learning among students during the pandemic (COVID-19) towards the online learning among hospitality and tourism students. A quantitative method was employed and students from the Faculty of Hotel and Tourism Management Penang Campus were chosen as the target sample. The sample size for this study was 430 and a total of 360 questionnaires were successfully collected with the return rate of 83.72%. Descriptive analysis was used to interpret the demographic data, Pearson Correlation analysis was employed to examine the correlation among variables, and multiple regression analysis was used to measure the overall relationship between independent and dependent variables. From these analyses, the three (3) variables (social presence, cognitive presence, and teaching presence) were found to have positive relationships with a student's learning experience. Overall, this study is important to fellow academicians, academic researchers, and practitioners in improving their methods of teaching and learning, assisting the students, and strengthening their teaching techniques in online learning.
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In their business operations, mining companies that process natural resources must deal with environmental degradation. The companies shall do environmental preservation to mitigate global warming due to business processes and make an environmental responsibility report to ensure a sustainable business. Whether the COVID-19 pandemic affects environmental responsibility is the focus of this study. The pandemic disrupts all sectors, including the mining industry. Therefore, this study investigates the level of environmental reporting made by mining companies before and after the COVID-19 outbreak. In addition, this study also investigates the determinants of the level of environmental reporting disclosed in either the annual report or sustainability report. Thirty-seven companies listed on the Indonesia Stock Exchange in the mining sector in 2019 and 2020 were used as a sample. Results from the Wilcoxon signed rank analysis suggest that the level of environmental disclosure increased following the epidemic's spread, contrasted to levels prior to the outbreak. The multiple regression analysis reveals that public ownership and size are likely to enhance environmental disclosure. Meanwhile, leverage tends to reduce environmental disclosure. The analysis offers perspective on the capital market authority agency's new strategy aimed at enhancing aspects that could influence environmental responsibility disclosure.
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The study investigated the challenges encountered by mathematics postgraduate students' learning courses via online platforms. An online survey included 31 postgraduate mathematics students. Mean responses and regression analysis were used for data evaluation. The results indicate social-related challenges are the most important factor to learn mathematics in an online platform, although the challenges including accessibility of online learning resource, course nature, online learning skill, and instructor-related challenges are confirmed with a higher mean response. Moreover, a multiple regression analysis has indicated that social and instructor related challenges are significant predictors of students' overall expectation of learning mathematics courses on the online platform. The study concluded that students prefer learning mathematics courses via face-to-face approach over online platforms, and students do not want to extend semester courses with an online approach. From the finding, adapting a blended approach is recommended for a similar situation of the current study.
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Drawing on social cognitive theory, this study investigated instructors' online teaching self-efficacy during the sudden, COVID-19-induced transition to online teaching. The pandemic has forced instructors to shift to online teaching, arming them with valuable hands-on experience in this alternative teaching mode. This study examined instructors' online teaching self-efficacy, perceived benefits, intention to implement online teaching strategies in their future teaching, and the challenges encountered during this transition. A total of 344 instructors completed the developed and validated questionnaire. The data were analyzed using multiple linear regression modeling, using the stepwise estimation technique. The findings demonstrate that affiliated universities, the quality of online learning, and previous use of learning management systems (LMS) are significant predictors of instructors' online teaching self-efficacy. Online teaching self-efficacy, along with gender, quality of online learning, and professional training are significant predictors of the perceived benefits of online learning during emergencies. Meanwhile, the quality of online learning and professional training are significant predictors of instructors' intention to implement online teaching strategies and learning technology tools. Instructors ranked remote assessment as the most challenging factor in online teaching during emergencies, and internet access or internet speed as the first and most complicated hindrance for students in this transition. This study helps in understanding instructors' online teaching self-efficacy during the sudden transition and the positive consequences of shifting to the online mode due to the COVID-19 pandemic on the higher education field. Recommendations and implications are discussed.
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With the growth and development of COVID-19 and its variants, reaching a level of herd immunity is critically important for national security in public health. To deal with COVID-19, the United States has implemented phased plans to distribute COVID-19 vaccines. As of November 2022, over 80% of Americans had received their first shot to guard against COVID-19, and 68.6% were considered fully vaccinated, according to the dataset provided by CDC. However, a significant number of American people still hesitate to receive a shot of the COVID-19 vaccine. This paper aims to demystify COVID-19 vaccine hesitancy by analyzing various socioeconomic characteristics among individuals and communities, including unemployment rate, age groups, median household income, and education level. A multiple regression modeling and data visualization analysis show patterns with an increasing trend of vaccine hesitancy associated with a lower median household income, a younger age group, and a lower education level, which would help policymakers to make policies accordingly to target vaccine support information and remove this hurdle to end the COVID-19 pandemic effectively. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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This chapter determines the underlying factors that worsened the vulnerability of small-holder farmers during the COVID-19 pandemic in North-Central, Nigeria. Proffering lasting solutions to the problems of low productivity, arising from the vulnerability to cope with shock events, is an important starting point to understanding how, why, and what occurred over the last 2 years. To better understand this, the socioeconomic characteristics of small-holder farmers were identified and interlinked with the factors that impaired their vulnerability during the pandemic. Primary data were collected with the aid of a structured questionnaire in combination with face-to-face interviews. A multi-stage sampling technique was used for data collection and a total of 360 farmers were sampled across three states in North-Central. The analytical techniques employed in the study include descriptive statistics and multiple regression analysis. The findings of the research reveal that the majority of the respondents are male, fairly advanced in age, with relatively low levels of formal education. The major factors that significantly worsened the vulnerability of the farmers is educational level, farming experience, access to finance, adoption of improved technologies, and access to extension services. It is recommended that efforts should be made towards encouraging farmers to acquire some level of formal education, while adult education should be encouraged among those that are fairly old. Government should also increase access to finance and credit facilities, i.e., finance that goes directly to the actual small-holder farmer. More access to various improved farming technologies should provide farmers with better crop output and financial turnover. Moreover, increased access to quality extension services should be made available. In brief, the COVID-19 pandemic created financial uncertainties which affected economic growth and investments throughout different sectors of the world economy. It created agricultural setbacks that should not be overlooked but rather documented to mitigate future shocks with preparedness as a new standard. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The economic impact caused by the outbreak and dynamic evolution of COVID-19 has reduced employees' psychological security (PS), which not only threatens the physical and mental health of employees but also seriously affects the stable operation and sustainable development of enterprises. PS has been determined to be closely related to daily life experiences. Therefore, the purpose of this article is to examine the types and combinations of life events that improve employees' PS during the pandemic. Cross-sectional data came from 764 enterprise employees in 8 provinces and cities in China during the pandemic period. The participants completed the PS scale to evaluate their PS, and the PS events scale to evaluate the different types of daily life events they experienced. Multiple regression analysis (MRA) and fuzzy-set qualitative comparative analysis (fsQCA) methods were used to test the research hypothesis. The results of MRA suggest that rich leisure activities (RLA), harmonious family relationship (HFR), stable economic order (SEO) and recognition and support from others (RSO) are important life events that enhance employees' PS. The results of fsQCA suggest that the independent role of SEO, the combined role of sound social security system (SSSS), peace and health events (PHE) and HFR, the combined role of PHE, fulfilling work/life status (FWLS), SEO and RSO can substitute for each other to promote employees' high PS. This article reveals the contribution of daily life events to the PS of enterprise employees, and provides an empirical basis for formulating corresponding intervention measures to promote the physical and mental health of enterprise employees and effective enterprise management.
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This study employed the response surface methodology to optimize the extraction conditions for recovering vitamins D2 and K1 from green leafy vegetables using ultrasonication-assisted extraction. The vitamin content was determined using an Accucore C18 column and a UPLC-Q-ToF/MS method. An RSM-I-Optimal design was used for designing the experiment to find the best combination of solvent level (mL), sonication time (min), sonication frequency (kHz), and temperature (°C). The experimental data from a 25-sample set were fitted to a second-order polynomial equation using multiple regression analysis. The extraction models had R2 values of 0.895 and 0.896, respectively, and the probability values (p < 0.0001) indicated that the regression model was highly significant. The optimal extraction conditions were: solvent level of 65 mL, sonication time of 45 min, sonication frequency of 70 kHz, and temperature of 45 °C. Under these conditions, the predicted recovery (%) values for vitamins D2 and K1 were 90.7% and 90.4%, respectively. This study has the potential to use the reported extraction method for routine quantification of vitamins D2 and K1 in the laboratory using UPLC-Q-ToF/MS.
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We investigated the associations between the attitudes toward the COVID-19 vaccine and the motivation to receive the COVID-19 vaccine among Japanese workers using an anonymous questionnaire. This study was conducted during the period of September through December 2020. The analyzed subjects were 2,061 workers. Regarding "motivation to get vaccinated against COVID-19,” the subjects selected responses from a 9-point scale from "definitely agree” to "definitely disagree.” A total of 67.2% ("definitely agree” to "somewhat agree”) workers had the motivation to get vaccinated against COVID-19. Factor analyses revealed four factors regarding their attitudes toward the COVID-19 vaccine: "protecting the lives and health of oneself and others,” "agreement to pay for the vaccine,” "leading a relaxed live,” and "perceived safety.” As a result of multiple regression analysis, "protecting the lives and health of oneself and others,” "agreement to pay for the vaccine,” and "perceived safety” were significantly associated with "motivation to get vaccinated against COVID-19.” Males were more motivated to receive the vaccine than females. By considering these three factors and gender differences, workers' motivation to get vaccinated against COVID-19 will be improved.抄録我が国の労働者の「新型コロナワクチンに対する意識」と「新型コロナワクチンを接種する動機づけ」との関連性を 検討することで,職域における新型コロナワクチン接種の推進方法について探る.2020年9月から12月の間に調査を実施した.対象者は36事業場に勤務する労働者で,解析対象者数は2,061名であった.新型コロナワクチンに対する意識に 関する項目は,ヘルスビリーフモデルを参考にして独自に作成し,因子分析（主因子法,プロマックス回転）を行った.因子分析の結果,「自他の命と健康を守れる」,「費用負担の容認」,「安心して生活ができる」,「安全性への信頼」という 4つの因子が抽出された.「新型コロナワクチン接種への動機づけ」は,「完全に思わない」から「完全に思う」までの9段階で対象者に回答を求め,「やや思う」から「完全に思う」までのワクチン接種に対する肯定的な回答は67.2%であ った.「新型コロナワクチン接種への動機づけ」に関連する因子を探る目的で,重回帰分析を行った.その結果,「自他の 命と健康を守れる」,「費用負担の容認」,「安全性への信頼」という3つの因子が,「新型コロナワクチン接種への動機 づけ」と有意に関連していた.男性は女性よりも新型コロナワクチン接種への動機づけが有意に高かった.これらの心理的な因子や性別の違いを考慮することで,労働者の新型コロナワクチン接種の動機づけを高めることが出来る.
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This survey is a survey on the evaluation of Japanese professional baseball players. Due to the corona epidemic, many sports around the world are affecting the management of organizations. In Japan, we were able to accommodate spectators for a while, but the number of people is limited. As a result, many professional baseball teams that were already in the red during the off-season were announced. Severe business conditions are affecting not only Nippon Professional Baseball but also sports such as soccer and basketball. Also, this applies not only to Japan but to the rest of the world. There are various sales composition ratios to make money in sports competitions. In Nippon Professional Baseball, ticket income, broadcasting rights income, sponsor income, goods sales, fan clubs, etc. You can see how much the coronavirus has an impact, as most of the sales come from ticket revenue. Looking at other sports, in the J-League of soccer, there are teams centered on sponsor income, which may reduce the impact of ticket income, but it is difficult to decide the direction immediately. When it becomes difficult to manage teams, the salary of player is also affected. In fact, at Japan Professional Baseball Players Association, we ask the team to give relative evaluations, such as giving serious management explanations and wanting them to stop intentionally lowering their annual salary. But the real problem is the evaluation is clearly different when looking at the annual salary by role. Especially young pitchers, even if they pitch in many games, may be lower than veteran players. Therefore, I conducted a survey on the current evaluation of pitchers in Nippon Professional Baseball. Multiple regression analysis was performed using the player’s annual salary as the axis of the dependent variable, and the total results up to 2019 as the independent variable, and the results of 2019 including the number of pitches and the number of wins. By performing multiple regression analysis, we were able to find out what was evaluated by many teams and what was the cause of the increase in annual salary. In addition to the results of this analysis, we will propose businesses and initiatives that Nippon Professional Baseball should work on in the future based on online events held all over the world. © Springer Nature Switzerland AG 2021.
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Sudden changes in urban mobility were caused due to the COVID-19 pandemic. The impacts are yet to be furtherly measured and analyzed. Our article uses GPS records provided by three different micromobility operators in Madrid to study how the pandemic affected their service usage and its relationships with land use. Thus, spatio-temporal travel patterns are compared between pre-COVID 19 (from January 2019 to February 2020) and COVID times (from March to December 2020). Additionally, multiple regression analyses are conducted to assess how the two scenarios differentiate in relation to micromobility trips, generated or attracted, to or from different land uses, and during morning or afternoon peak hours. Results show that the most pandemic-resilient shared mode is bike-sharing, and that COVID-19 has caused a downfall in micromobility trips of approximately 10%, which is relatively lower compared to the 80% ridership drop reported by the public transport system. Our models reveal that residential and commercial areas gained importance after the pandemic, while workplace locations (office and industrial), educational and transport facilities lost relevance with teleworking and online studying. These findings could help authorities to plan future policies and improve the infrastructure needed to promote micromobility services. © 2022 Taylor & Francis Group, LLC.
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Due to the rapid expansion of the leisure industry, there were about 32,000 golf caddies in South Korea in 2020, an increase of 18.5% compared to 2016. Consequently, they face an increasing industrial accident rate, which is presumed to be the result of exposure to various harmful factors. Through a survey and oral interview of 221 caddies across more than 20 golf courses, health protective measures, protective measures for caddies, preparation for golf cart operation, physical burden, compliance with golf cart safety during games, and golf course responses to emotional labor were investigated in this study to identify safety and health problems of caddies and suggest prevention measures. Preliminary interviews were conducted to confirm golf courses’ safety and health status and participants’ characteristics. Golf caddies’ health and safety were confirmed using frequency analysis, independent sample t-test, one-way analysis of variance (ANOVA), Pearson correlation analysis, and multiple regression analysis. The results showed that caddies’ workplaces were relatively vulnerable to safety and health issues and caddies were exposed to various harmful risk factors. In addition, it was confirmed that golf caddy protective measures, golf cart safety compliance, physical burden, and health protection affect golf courses’ response level to caddies’ emotional labor.
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Purpose>The purpose of this paper is to investigate factors that influence customers’ adoption of biometric-based point-of-sale in Brunei.Design/methodology/approach>This paper extends technology acceptance model constructs with trust and some other variables as the framework to investigate their influence on the attitude toward the usage of a biometric point-of-sale terminal for payments in Brunei. Nine variables may influence user’s perception toward usage. The nine variables are needed, perceived ease of use, perceived usefulness, experience, innovativeness, privacy, security, trust and attitude toward usage. Multiple regression analysis was conducted to test hypotheses related to these nine variables.Findings>It is found that the innovativeness of an individual and similar experience corresponds toward trust, which is positively related to attitude toward usage. Perceived usefulness and trust have significantly influenced the intention of individuals to use biometrics as an authentication method for payment.Research limitations/implications>The nature of this research is to gather the public’s opinion and perception as much as it is deemed possible to get a bigger and clearer picture of the study. As the target respondence is citizens and residents of Brunei without any specification or exclusion, a large response would be needed to have a more reliable and accurate result. However, only 205 respondents can be gathered in this study. Had there been a longer time frame, it would be best to gather a lot more responses.Originality/value>This paper explores the adoption of biometric authentication in large-scale point-of-terminals. It identifies factors that influence adoption. The results of this study could assist future researchers in which direction to take to further explore biometric as an authentication method for payment. In addition to this, it could also provide banks and financial technology in Brunei a clearer picture of the Brunei market and Bruneians perspective on the biometric system.
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The purpose of this research is to explore the moderating effect of carrier type on the effects of upper echelon attributes. The study subject is the position of chief executive officer (CEO). The dependent variable is market-to-book value;the independent variables are CEO age, tenure, and educational background. The moderator is LCC. For the data collection, this study used COMPUSTAT and EXECUCOMP using the standard industry classification code 4512;the data are collected from Annual 10K and Linkedin. There are 15 airlines examined, and the study period is from 1999–2019;in total, 210 observations were used for the data analysis. Multiple regression analysis was the main instrument used to test the research hypotheses. The results indicate that both older CEOs in LCCs performed better in the market.