Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan

Information technology and supply chain agility are in vogue. The present study aims to investigate the impact of information technology (IT) on supply chain agility and its outcomes such as cost reduction and operational performance in fast food companies' chains. A total of 240 employees from fast food chains were selected as respondents. Data was collected using five-point Likert scale questionnaire developed from previous studies. The statistical results confirmed that adoption of IT is playing a vibrant role in achieving supply chain agility and supply chain agility helps to reduce cost and improves operational performance of firms. The study model provides a useful framework to examine the impact of IT adoption on supply chain agility and its outcomes. In conclusion, the firms have to focus on their supply chain management and make it efficient and agile by implementing the advanced technologies to gain operational performance. Implications have been discussed.

Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: the role of FinTech.

Access to financial services is regarded as one of the most pressing issues confronting communities worldwide sequel to the COVID-19 pandemic. In this regard, FinTech applications such as mobile financial service (MFS) play an essential role in building resilience during the pandemic. Hence, the aim of the study is to investigate the role of MFS platforms in economic resilience by empirically evaluating the determinants that influence the intention of Bangladeshi users toward adopting MFS platforms during the COVID-19 pandemic, through an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT). Using the core structures of the UTAUT, the theoretical model was constructed based on the consumption attributes of financial services such as perceived value, as well as additional situational factors from the extended valence framework, including risk and trust. To test the model, data was obtained from 227 potential MFS users in Bangladesh with the aid of a structured questionnaire survey. Subsequently, the Structural Equation Modeling (SEM) approach was used to analyze the data. The findings showed that social influence, perceived trust, and perceived value are strongly related to the intention of users to adopt MFS platforms, whereas, perceived risk, performance expectancy, and effort expectancy were observed to influence users' perceived value of the MFS platforms during the COVID-19 pandemic. Interestingly, the study results indicated that the users' perceived risk did not influence their intention to adopt MFS platforms during the pandemic. Therefore, the suggested adoption of the MFS framework during and after the pandemic could contribute to the existing research on the adoption of information technology (IT) through the expansion of the UTAUT, in which the performance and effort expectancy of users influence their intention to indirectly adopt MFS through perceived value. Finally, the significant policy implications and future research directions are further addressed.

The Prevalence of Information Technology in Indonesia's Accredited Hospitals

During the COVID-19 pandemic in Indonesia, examination and relaying of important health information were done with the support of information technology. Therefore, this study measures information technology (IT) within hospitals through IT adoption and IT integration. The study uses data of 752 accredited in Indonesia. The study uses a descriptive analysis and ANOVA to identify the score of different locations, classes, and accreditations of hospitals to determine whether there are any associations or significant differences between the top- and lower-class hospitals. The results indicate that hospital classes A, B, C, and D in Indonesia apply information processing related to the storage, retrieval, sharing, and use of health services information for communication and significant decision-making. However, there are no significant distinction in the prevalence of IT usage among these hospitals. This study contributes to the understanding of the current rate of adoption and integration of information technology resources. © The Author(s) 2022.

IT shields: Technology adoption and economic resilience during the COVID-19 pandemic.

We study the labor market effects of information technology (IT) during the onset of the COVID-19 pandemic, using data on IT adoption covering almost three million establishments in the US. We find that in areas where firms had adopted more IT before the pandemic, the unemployment rate rose less in response to social distancing. IT shields all individuals, regardless of gender and race, except those with the lowest educational attainment. Instrumental variable estimates-leveraging historical routine employment share as a booster of IT adoption- confirm IT had a causal impact on fostering labor markets' resilience. Additional evidence suggests this shielding effect is due to the easiness of working-from-home and to stronger creation of digital jobs in high IT areas.

Assessing the Impacts of IT Usage, IT Adoption, and Innovation Capabilities in Increasing the Hybrid Learning Process Performance

The disruptive changes of technological advancements and the COVID-19 pandemic have pushed the education sector to leap into a new learning model, known as hybrid learning. Hybrid learning implements both onsite and online learning to students simultaneously. This research aims to display the impacts of information technology (IT) usage, IT adoption, and innovation capabilities to increase learning process performance during hybrid learning. This research has used a quantitative approach by gathering survey data from 1,160 college students during a hybrid learning process. Hybrid learning had been conducted for four months before the survey was taken in December 2021. The findings show that IT usage, IT adoption, and innovation capabilities significantly affect the hybrid learning process performance. Moreover, IT adoption has the most robust beta coefficient, followed by innovation capabilities and IT usage. Therefore, this research posits that the hybrid learning process performance greatly depends on the adoption of IT, followed by the innovation capabilities of the lecturers. IT usage also supports the hybrid learning process performance. Thus, the three variables are essential in successfully maintaining the hybrid learning process. © 2022 Society for Research and Knowledge Management. All rights reserved.

The Prevalence of Information Technology in Indonesia's Accredited Hospitals

During the Covid-19 pandemic in Indonesia, examination and relaying of important health information were done with the support of information technology. Therefore, this study measure information technology (IT) within hospitals through IT adoption and IT integration. The study uses data of 752 accredited in Indonesia. The study uses a descriptive analysis and ANOVA to identify the score of different locations, classes, and accreditations of hospitals to determine whether there are any associations or significant differences between the top- and lower-class hospitals. The results indicate that hospital classes A, B, C, and D in Indonesia apply information processing related to the storage, retrieval, sharing, and use of health services information for communication and significant decision-making. However, there are no significant distinction in the prevalence of IT usage among these hospitals. This study contributes to the understanding of the current rate of adoption and integration of information technology resources.

STUDENTS' RELATIVE ATTITUDES AND RELATIVE INTENTIONS TO USE E-LEARNING SYSTEMS

Aim/Purpose This study, drawing on and extending research on the adoption of information technologies (IT), develops a research model to investigate: (1) the key relative factors that affect the adoption of e-learning versus using IT in traditional classrooms;and (2) students' relative attitudes and relative intentions to use e-learning systems. Background Since the advent of the COVID-19 pandemic, higher education institutions (HEIs) have rapidly adopted e-learning and students are now engaging with e-learning systems. These systems present a new research opportunity for examining the relative efficacy of using e-learning systems versus using IT in traditional classrooms. Although prior research has examined various types of e-learning systems in different contexts and using various methodological approaches, evidence in the literature indicates that the relative efficacy of e-learning remains uncertain as little is known about the factors that affect the adoption and use of e-learning systems during COVID-19, as there is limited academic research. Methodology The model is tested based on the perceptions of a group of 569 students of the adoption of e-learning versus using IT in traditional classrooms in the United Arab Emirates. The data were analyzed with IBM SPSS statistics 26 and partial least squares structural equation modeling (PLS-SEM) implemented in SmartPLS 3 software. Contribution This research contributes to the literature by: (1) extending the UTAUT model to understand students' relative attitudes and relative behavioral intentions towards using e-learning systems;(2) an extension to e-learning studies to examine relative factors affecting the adoption of e-learning systems by comparing the perceptions of the same group of students on e-learning and using IT in a traditional classroom environment in the context of COVID-19;and (3) providing valuable practical implications for HEIs to improve pedagogical approaches and e-learning systems. Findings The findings suggest that relative computer self-efficacy, relative cognitive absorption, relative system interactivity, and relative system functionality each positively influence both relative performance expectancy and relative effort expectancy, which in turn affect relative attitude;and that relative intention to use is positively affected by relative attitude and relative facilitating conditions. Recommendations for Practitioners Firstly, HEIs should feel more confident that e-learning systems indeed provide an appropriate learning approach, demonstrated by a high relative efficacy of e- learning systems perceived by the sample students in this study. Thus, it seems fitting for HEIs to use e-learning systems to enhance the development and delivery of programs and the quality of student experience, especially in the context of COVID-19. Secondly, HEIs wishing to use e-learning systems successfully should at least pay attention to a few key factors to ensure that students will have a positive attitude toward using e-learning systems. Such factors include students' perceived usefulness of e-learning systems, developing encouraging facilitating conditions such as training, technical and IT support, thereby enabling students to use e-learning systems while enjoying their engagement with e-learning systems. Recommendations for Researchers First, this study shows that relative to using IT in a classroom environment, e- learning is favored by the students involved in this research. Second, this re- search indicates the value of examining relative antecedents and relative UTAUT related constructs, evaluating the relative perceptions of students, thereby understanding the relative efficacy of e-learning systems versus using IT in a traditional classroom environment in HEIs. Third, in addition to examining students' perceptions of different learning approaches, or comparing the relative efficacy of different learning approaches based on the perceptions of different groups of students, the relative approach based on comparing the perceptions of the same group of students used in this research could offer a new way to advance our understanding of IT adoption. Finally, this study demonstrates that relative attitude, relative performance expectancy, and relative facilitating conditions are the top three vital factors that affect the adoption and use of e-learning systems during the COVID-19 crisis. Impact on Society The positive result of the students' relative perceptions of e-learning systems suggests that private and public organizations, as well as education policy-makers in providing the learning process, could certainly use e-learning systems as a valuable means of training and/or education, especially during the COVID-19 pandemic. Future Research First, the result of this study is based on data collected from HEIs in the United Arab Emirates. This work could be extended to other HEIs in other countries. Second, this study uses a non-probability sampling approach to collect data, which may limit the validity of the findings. Thus, probability sampling could be an option for future research. Third, this study focuses on developing an understanding of the key relative antecedents that may affect students' relative attitudes and relative intentions to use e-learning systems. There might be other antecedents worth including in future research. Other potential future research may include using the relative approach employed in this study to examine IT adoption, or collecting data from a group of learners on different learning approaches for comparative research, which seems germane to comparing the relative efficacy of different learning modes.

IT adoption and bank performance during the Covid-19 pandemic.

This paper examines the impact of pre-2020 information technology (IT) adoption on bank performance during the initial stages of the Covid-19 pandemic. We show that high IT adopters performed better in terms of market returns, Tobin's q and lending. Our findings also suggest that higher pre-crisis IT investments are associated with more loans issued under the US Paycheck Protection Program, and lower rates of loan modifications due to Covid-19. This study corroborates other recent findings that technology adoption fosters banks' resilience during crises, ultimately enhancing financial stability.