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This paper employed an integrated model for examining behavioral intention to adopt blockchain technology in the supply chain management of manufacturing industries in Bangladesh. The proposed conceptual model was empirically tested using data collected from 189 supply chain managers working in manufacturing organizations in Bangladesh. The findings suggest that perceived usefulness, trading partners' pressure, and competitive pressure are the most important determinant of behavioral intention. © 2023 Taylor & Francis.
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Introduction: Within the technological development path, chatbots are considered an important tool for economic and social entities to become more efficient and to develop customer-centric experiences that mimic human behavior. Although artificial intelligence is increasingly used, there is a lack of empirical studies that aim to understand consumers' experience with chatbots. Moreover, in a context characterized by constant population aging and an increased life-expectancy, the way aging adults perceive technology becomes of great interest. However, based on the digital divide (unequal access to technology, knowledge, and resources), and since young adults (aged between 18 and 34 years old) are considered to have greater affinity for technology, most of the research is dedicated to their perception. The present paper investigates the way chatbots are perceived by middle-aged and aging adults in Romania. Methods: An online opinion survey has been conducted. The age-range of the subjects is 40-78 years old, a convenience sampling technique being used (N = 235). The timeframe of the study is May-June 2021. Thus, the COVID-19 pandemic is the core context of the research. A covariance-based structural equation modelling (CB-SEM) has been used to test the theoretical assumptions as it is a procedure used for complex conceptual models and theory testing. Results: The results show that while perceived ease of use is explained by the effort, the competence, and the perceive external control in interacting with chatbots, perceived usefulness is supported by the perceived ease of use and subjective norms. Furthermore, individuals are likely to further use chatbots (behavioral intention) if they consider this interaction useful and if the others' opinion is in favor of using it. Gender and age seem to have no effect on behavioral intention. As studies on chatbots and aging adults are few and are mainly investigating reactions in the healthcare domain, this research is one of the first attempts to better understand the way chatbots in a not domain-specific context are perceived later in life. Likewise, judging from a business perspective, the results can help economic and social organizations to improve and adapt AI-based interaction for the aging customers.
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Vaccination is crucial in controlling the spread of the coronavirus disease 2019 (COVID-19) that triggered the pandemic, but herd immunity can only work with high vaccination coverage in the population. This study aims to measure the COVID-19 knowledge level and determine the factors influencing COVID-19 vaccination intention among university students in Malaysia. A cross-sectional online survey was carried out with 1,274 Malaysian university students in July 2021. Univariate and multivariate analyses were employed to examine the relationships between the study variables. Results showed that the majority of university students had an acceptable level of knowledge of COVID-19. The knowledge, risk perception of COVID-19, social norms, and perceived benefit of COVID-19 vaccination were positively associated with vaccination intention. However, perceived trust in information sources of COVID-19 vaccination and the government's response to COVID-19 did not affect the university students' desire to receive the vaccination. These findings are essential for health policymakers and healthcare providers to implement evidence-based interventions to increase COVID-19 vaccination uptake among university students.
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M-government services have gained popularity recently, especially during the Covid-19 pandemic and advancements in mobile technology. However, providing the full range of government services on mobile devices is still in the early stages. Moreover, improving and expanding capacity and providing services requires understanding the factors influencing users' behavioral intentions to adopt this technology. This study investigates factors that directly affect the intention to use mobile government services by employing the technology acceptance model and two external factors, trust and social influence in Bahrain by utilizing artificial neural networks and structural equation modeling. Results indicate that the perceived usefulness and trust factors influence users' behavioral intention to use m-government services, followed by perceived usefulness and social influence. The results of the investigated model provide insights to various stakeholders, including the government and developers, to encompass additional security measures and awareness programs among users to achieve higher levels of mobile services usage. © 2022 IEEE.
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Purpose: The impact of the COVID-19 pandemic provides the scope to conduct online classes in the university teaching methods. This study aims to investigate the impact of technology self-efficacy on students' behavioral intention on the effectiveness of online learning. Design/methodology/approach: This study was conducted with 323 university students using the online survey platform. Data analysis was acquired by implementing the partial least squares technique to obtain the results. Findings: The findings revealed that the COVID-19 pandemic affects technology self-efficacy. Technology self-efficacy has a significance on perceived usefulness (PU) and ease of use, which influences students' behavioral intention to use online learning effectively. The results identified that user innovativeness facilitated the relationship between PU and behavioral intention to use online learning efficiency. Originality/value: This study has a significant insight into the higher educational institutes and academia that lessons from the impact of the COVID-19 pandemic on technology self-efficacy toward online learning effectiveness. © 2023, Emerald Publishing Limited.
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Cutting-edge technologies are changing the operations of urban last-mile delivery. In particular, innovative technologies, such as delivery drones, have shown promising results in commercial applications. When considered alongside the ongoing pandemic, contactless technologies have become even more important to the daily lives of consumers in highly urbanized areas. This study investigates underlying factors influencing consumers' acceptance of drone delivery in urban cities amidst the COVID-19 pandemic. To this end, a model was created by fusing the technology acceptance model, task–technology fit, and privacy calculus theory. Four hundred and fifty survey responses were analyzed using structural equation modeling. The findings suggested that perceived usefulness, attitude, and perceived privacy risks directly influence consumers' behavioral intentions. In addition, perceived ease of use, task characteristics, technology characteristics, task–technology fit, and privacy concerns indirectly impact consumers' behavioral intention. This study offers an insightful perspective on consumers' perception of urban last-mile delivery drones while providing insights into urban transport planning and regulation of drone delivery services. © 2023 Elsevier Ltd
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This study uses a modified UTAUT model to examine the variables that influence external auditors' approval of audit software. The survey approach is used in this study to gather data, and SmartPLS 3 is used to process the data. Purposive sampling was used to choose 180 respondents from the study's population of auditors who work for DKI Jakarta Public Accounting Firm and often use audit software. The findings indicated that social influence and the ease of internet access had an impact on behavioral intention, while performance expectations and effort expectations had no discernible affect on behavioral intention to adopt audit software. Additionally, this study demonstrates that supportive conditions had an impact on use behavior, whereas behavioral intention had little to no impact on how people used audit software. Gender, but not other relationships, can attenuate the influence of effort expectancy on behavioral intentions. The size of the audit organization has no bearing on the effects of behavioral intention and software usage. © 2022 IEEE.
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We report results of a cross-sectional survey conducted during March-April 2020 which marked the start and escalation of the COVID-19 crisis in Singapore. Our purpose was to examine whether reported feelings of gratitude among Chinese Singaporeans (N = 371; 124 males, 247 females; M age = 22.54, SD age = 3.63, age range: 18-53 years) could be linked to adaptive responses to the pandemic. The results revealed that gratitude was associated with stronger endorsement of virus-prevention measures (ß = 0.25, p = 0.001) that are necessary for protecting the physical health of oneself and others but disruptive to daily lives. Gratitude was also positively related to the tendency to perceive meaningful benefits in the crisis (ß = 0.25, p = 0.002). Importantly, demonstrating the uniqueness and robustness of gratitude as a predictor of positive coping in response to the pandemic, these relationships remained significant when controlling for other protective psychological factors (resilience and optimism), emotions, and key demographic variables. Among the emotions measured, gratitude was also reported the most strongly. The findings support theoretical models that gratitude facilitates prosocial inclinations and openness to different ways to support the well-being of others and suggest that in a collectivistic culture, gratitude could be a key resource enabling adaptation to a crisis.
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Meeting customers' requirements and needs is con-sidered a cornerstone of the success of any type of business, regardless of its size. Therefore, engineering the products and services provided by those organizations should be made based on a clear understanding of such requirements. This in turn would increase their market penetration, competitiveness, and of course their profitability. Nowadays, with the emergence of COVID-19 pandemic, a big shift in the people's behavior towards using various electronic means, has been witnessed. Consequently, this had forced the business models to be shifted as well to cope with such changes in the behavior. In this research, we focused on exploring the main drivers of people's willingness to adopt mobile commerce services during times of pandemic. The research was conducted based on feedback collected from users of mobile commerce services in Jordan. The results showed that performance expectancy, personal innovativeness, and habit, had a positively significant impact on Jordanian customers' behavioral intention to adopt such services during the COVID-19 pandemic. © 2022 IEEE.
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This study examines the usage of eTax systems using the unified theory of acceptance and use of technology (UTAUT) as a theoretical base. A quantitative methodology using partial least squares-structural equation modelling (PLS-SEM) was used to test the study model against data collected from 209 taxpayers who completed the research questionnaire. The outcomes of this study manifest necessary theoretical extension of the UTAUT model and practical contributions during the pandemic of COVID-19. The findings of this study reveal that the behavioral intention to use eTax systems is highly influenced by performance expectancy, effort expectancy, social influence, social isolation, and anxiety about technology. Similarly, the behavioral intention of eTax systems and anxiety of COVID-19 infection demonstrate a substantial association with the actual usage of eTax systems. Interestingly, the study's findings also show that the anxiety of COVID-19 infection moderates the association bounded by usage intention and actual use of eTax systems. Copyright © 2022, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
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The purpose of this study was to investigate the impact of coping strategies, attitudes, and positive anticipated emotions on the positive expectations and behavioral intentions of Korean tourists during the COVID-19 pandemic. An integrated model was proposed and tested, and the results indicate that effective coping strategies, attitudes, and positive anticipated emotions have a positive effect on the positive expectations of tourism during the pandemic, which in turn positively influences behavioral intentions. Practical suggestions were also provided based on the findings. This research has implications for understanding the ways in which individuals cope with and adapt to travel during times of crisis, and for identifying strategies that may facilitate positive expectations and behavioral intentions in the tourism industry.
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COVID-19 , Intention , Humans , COVID-19/epidemiology , Tourism , Motivation , Pandemics , Adaptation, PsychologicalABSTRACT
Background: Affected by the COVID-19, many colleges have adopted online teaching. Meanwhile, the digital transformation of academic journals has shifted readers' reading habits from traditional paper media to digital media. Digital academic reading has become the main reading method of college students during the COVID-19 pandemic. Purpose: The purpose of this study was to investigate the behavioral characteristics of college students' digital academic reading and explore the internal factors and external environmental factors affecting the Intention and Use behavior of digital academic reading. At the same time this study provide recommendations to address these influencing factors in terms of the individual, the environment and library resources. Methods: Based on UTAUT2 model and digital academic reading theories, this paper constructs a digital academic reading information behavior (DARB) model of college students to examine college students' digital academic reading behavior and intention. College students with digital academic reading behavior were recruited as research participants. A multi-stage sampling technique was used to collect representative samples from universities in Nanjing. 239 respondents participated in the questionnaire, with 189 providing valid data. Results: Effort expectancy (EE), social influence (SI), price value (PV), perceived risk (PR) and habit (BH) have a significant impact on behavioral intention (BI), and behavioral intention (BI) and habit (BH) have a significant impact on use behavior (B). However, performance expectancy (PE) and facilitating conditions (FC) have no significant influence on behavioral intention (BI). Originality/value: The findings of this study will help fill the gap in previous research on the relationship between the influencing factors of digital academic reading and college students' reading intentions and behaviors, so as to provide a basis for improving the academic reading literacy program in colleges and optimizing the current digital academic reading environment.
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This study examines the relationships between the precautionary measures taken for COVID-19 (PMC) at the destination and destination service quality (DSQ), destination brand equity (DBE), and tourists' behavioral intention, and it also investigates the moderating role of PMC between these variables. In addition, this study also examines whether the relationship between the variables is different for domestic and international visitors, as well as being first-time/repeat visitors. The quantitative research method was implemented to test research hypotheses, and it was exploited the survey for research data. Overall, 423 valid data were collected from tourists who came to the Turkey-Fethiye destination between July and October 2021. The structural equation model was established, and was tested the research hypotheses with the help of path analysis. The findings showed that the PMC had significant impacts on tourists' perceptions of DSQ, DBE, and their behavioral intention. On the other hand, while the DBE and behavioral intention are positively affected by DSQ, the PMC has a moderating role in the relationships between these variables. Finally, the empirical results provide theoretical and practical implications for destination managers for the development of safety measures in tourism services and the design of effective actions to gain a competitive advantage.
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PurposeCoronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.Design/methodology/approachA quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.FindingsFindings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.Originality/valueThe study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).
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PurposeThis study aims to understand the influence of digital transformation, using Industry 4.0 technology, on food and beverage companies in the post-COVID-19 period.Design/methodology/approachTo achieve the aim of this study, the authors have used innovation diffusion theory (IDT), dynamic capability view (DCV) theory and relevant literature, to develop a conceptual model. For the data, we surveyed 14, different sized food and beverage companies in India and the authors took inputs from 312 respondents at those companies to validate the conceptual model using the PLS-SEM approach.FindingsThe results from this study suggest that there is a considerable appetite for food and beverage companies to use Industry 4.0 technologies, as a part of their digital transformation journey in the post-COVID-19 scenario.Practical implicationsFood and beverage companies are going through a digital transformation process, which has been accelerated after the COVID-19 pandemic. Managers and leaders of the food and beverage companies need to support activities to adopt Industry 4.0 technologies. Moreover, the leaders should sponsor various readiness and training programs so that their employees successfully adopt these modern technologies.Originality/valueThis is a primary study on food and beverage companies that are using Industry 4.0 technologies or are in the process of digital transformation. The usage of both IDT and DCV to develop the unique conceptual model is an important contribution to the body of knowledge. Moreover, the proposed model has a high explanatory power, which makes the model effective.
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Vaccine tourism is a new type of medical tourism that allows tourists to travel internationally to receive the vaccine occultation while they are traveling. There are strong possibilities that vaccine tourism will grow in popularity due to recent COVID-19 vaccine discrepancy between rich and poor countries and uncertainty of the current and future variation in diseases. Vaccine tourism can play important role to revive the stagnant tourism industry resulted from COVID-19 pandemic and serve as possible alternative type of tourism package for the future. This study aims to investigate factors that influence potential tourists to adopt vaccine tourism. Two hundred and fifty-four questionnaires were collected through tourism social media sites in Thailand. PLS-SEM was conducted to examine the causal relationships. The findings show that innovative and informative users are more likely to adopt vaccine tourism. The study confirms the need to consider personal attitudes when studying behavioral intentions. Furthermore, it highlights opportunities for the tourism industry to further promote the new type of medical tourism to the innovative and informative tourists.
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Language barriers have always been considered as constraints on tourists' intentions to visit an overseas destination. However, little research has focused on how learning the destination language could affect tourists' behavioral intentions. This study attempts to fill this gap by analyzing the moderating effect of Spanish language proficiency on young Chinese travelers' intentions to visit Spain. A quantitative research method was adopted involving data collection through a structured questionnaire survey. A total of 642 Chinese university students were used as the sample in this study. The relationships between motivation, perceived cultural distance, destination image, and future behavioral intention were examined using the Partial Least Square Structural Equation Modeling (PLS-SEM) analysis. The moderating effects of Spanish-language proficiency on these relationships were tested through MICOM and multi-group PLS-SEM analysis. The results show that Spanish-language proficiency could moderate four hypothesized relationships in the model. Hence, this study contributes to tourism literature by highlighting the role of potential tourists' destination-language proficiency on their future behavioral intentions. Additionally, practical implications are also provided for DMOs to attract more Chinese young travelers in the recovery process from COVID-19.
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The emergence of mobile health applications (MH-Apps) has enhanced the healthcare field's services, particularly in the treatment, diagnosis, and follow-up. AMAN Mobile Health Application (AMAN MH-App) is one of the health-tech solutions used to fight the Coronavirus pandemic. It has a built-in feature to track users' activities to protect users from contacting an infected person. However, the acceptance of AMAN MH-App in Jordan is still in an early stage, and the number of users has reached 15% of the country's population. Therefore, this study aims to assess the use of AMAN MH-App among young people using the quantitative method. A total of (450) valid samples participated in the study after removing 33 invalid samples. Smart-PLS 3.2.7 was used for data analysis. The findings showed that all independent variables (Perceived usefulness, Perceived ease of use value, Subjective norms, Perceived behavioral control, Information Credibility, and Optimism) positively impact on the dependent variable (Behavioural Intention to use AMAN MH-App). We believe that AMAN MH-App's information's credibility (i.e. providing up-to-date, authoritative, accurate, and trustworthy information) will increase the number of the App's users. The results of this research can be applied to similar context and applications in different countries.
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As the possibility of sharing inaccurate information on social media increases markedly during the health crisis, there is a need to develop an understanding of social media users' motivations for online sharing of information related to major public health challenges such as COVID-19. This study utilised an online survey based on Theory of Planned Behaviour and Diffusion of Innovation Theory to examine how the behavioural intention to share COVID-19-related content on social media is impacted and to develop a model of health information sharing. Results indicate that opinion leadership, beliefs held towards the source of the information, and peers' influence serve as determinants of the intention to share COVID-19-related information on social media, while the opinion-seeking attitude does not, which could be explained by opinion seekers' inherent tendency to seek more sources to verify new information obtained. The study contributes to the Information Science field by addressing the previously under-researched area and proposing a new model that explains the impact of the factors on behavioural intention to share health-related information during the health crisis in the online network environment. © 2022 World Scientific Publishing Co.
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Conditions during the COVID-19 pandemic resulted in social restrictions that did not allow a person to shop physically. So the delivery service is the biggest alternative to buying various basic needs, including food. This research aims to determine what factors can affect customer acceptance of delivery services, especially in terms of technology use behaviour such as convenience, hedonic motivation, experience and price saving orientation. Questionnaire items are distributed online via a Microsoft form with structured questions. The number of respondents who were successfully collected was 114 respondents. Then the data that has been collected is analyzed and processed using the SEM PLS method with the help of Smartpls 3.0. The results show that convenience motivation has the most significant direct impact on Behavioral Intention towards delivery services. Meanwhile, hedonic motivation, time-saving orientation, and prior online purchase experience significantly impact customer convenience in delivery services. Nevertheless, the price saving orientation does not show any significant results. This finding shows that one's convenience factor is not aligned with customer orientation in considering saving. Customers prioritize shopping online on the ease of time and experience that will be obtained by using the delivery service.