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This study aims to examine the relationship between public knowledge, awareness and attitudes towards post-COVID-19 infection prevention in Sarawak. At present, Sarawak is in the post-pandemic stage, marked by a gradual return to normalcy, albeit with some persistent changes caused by the pandemic.

Data were collected from various geographic areas in Sarawak through a Google Form link and QR code during a cross-sectional study, resulting in the acquisition of 1,128 responses. Data analysis was performed using SPSS 28.0 and WarpPLS 8.0.

The result revealed that out of five hypotheses, four were found to be supported, indicating a positive relationship between public knowledge, awareness and attitudes towards COVID-19 infection prevention. However, an unsupported relationship was found between public awareness and infection prevention practices.

This study is limited to the Malaysian population and has a cross-sectional design, affecting generalizability. It is recommended that future research complete an in-depth study of the knowledge, awareness and practices of COVID-19 using other data collection techniques.

Public health and policymakers can use the study to implement effective communication strategies and prioritize digitalization for economic recovery. It highlights the importance of preventive measures and the public’s role in managing future pandemics.

The originality of this research can be drawn from key findings that indicate that people overall gained knowledge on the prevention measures during the post-COVID-19 pandemic, and the accuracy of the information significantly impacts public knowledge, awareness and practices of COVID-19 infection prevention.

The main aim of this study was to know the role of digital information and communication channels in developing citizens’ understanding regarding COVID-19 with reference to situation awareness. Furthermore, the impact of gender, age, qualification and area of respondents on citizens' perception and comprehension of COVID-19 was also investigated.

This quantitative study used an online survey and received 377 usable responses. The instrument was developed with the help of literature, and it was based on two constructs (perception of the element and comprehension of the current situation) of the situational awareness (SA) model. Data were collected from Pakistani citizens through a convenient sampling technique.

It was observed that the majority of citizens used electronic media, Facebook and WhatsApp for accessing COVID-19-related information. World Health Organization website played an important role in developing citizens’ understanding. Alert messages through mobile phone and apps played role in developing citizen’s understanding regarding COVID-19 situation. They perceived that media was effective in providing social distancing techniques. Moreover, they believed that government campaigns were helpful. Findings revealed that there was no significant impact of gender, age, qualification and area on citizens' perceptions and comprehension of COVID-19 through media.

This study is helpful for authorities in decision-making regarding COVID-19 and also filled the literature gap as, to the best of the authors’ knowledge, no comprehensive study has been conducted regarding the SA of COVID-19.

This study aims to explore the management learning during a long-term crisis like a pandemic. The paper addresses both what health-care managers have learnt during the COVID-19 pandemic and how the management learning is characterized.

The paper is based on a qualitative case study carried out during the COVID-19 pandemic at two different public hospitals in Sweden. The study, conducted with semi-structured interviews, applies a combination of within-case analysis and cross-case comparison. The data were analyzed using thematic deductive analysis with the themes, i.e. sensemaking, decision-making and meaning-making.

The COVID-19 pandemic was characterized by uncertainty and a need for continuous learning among the managers at the case hospitals. The learning process that arose was circular in nature, wherein trust played a crucial role in facilitating the flow of information and enabling the managers to get a good sense of the situation. This, in turn, allowed the managers to make decisions meaningful for the organization, which improved the trust for the managers. This circular process was iterated with higher frequency than usual and was a prerequisite for the managers’ learning. The practical implications are that a combined management with hierarchical and distributed management that uses the normal decision routes seems to be the most successful management method in a prolonged crisis as a pandemic.

The gained knowledge can benefit hospital organizations, be used in crisis education and to develop regional contingency plans for pandemics.

This study has explored learning during the COVID-19 pandemic and found a circular process, “the management learning wheel,” which supports management learning in prolonged crises.

The study explored whether an asynchronous short online course in mental health well-being and resilience for healthcare workers (HCWs) showed improved self-reported results among participants during the second wave of the COVID-19 pandemic.

A descriptive cross-sectional study evaluated the course outcomes using the 10-item Connor and Davison's Resilience Scale, the World Health Organization's WHO-five well-being index and self-developed questions. Data were collected via online questionnaires before and after course completion.

A total of 1 301 HCWs participated. The highest proportion of participants was from South Africa (SA) (93.7%) and females (78.7%). Analysed mean pre- and post-training scores showed increased scores in all five domains: knowledge, confidence in course outcomes, behaviour, resilience and well-being. Confidence in the course outcomes was the only common significant construct for both well-being and resilience. Mindfulness activities (β = 0.12, 95%CI [0.032, 0.213], p = 0.008) and self-care behaviours (β = 0.14, 95%CI [0.035, 0.241], p = 0.009) were significant predictors of participants' well-being. Coping mechanisms for stress (β = 0.12, 95%CI [0.036, 0.21], p = 0.006) and connecting with a social support network (β = 0.085, 95%CI [0.0007, 0.17], p = 0.048) were significant predictors of participants' resilience. Those working in the private sector, those working in clinical settings and those who were female showed significant associations with well-being and resilience.

The results are self-reported data which may be susceptible to social desirability and acquiescent effects. There are no guarantees that positive effects observed during this study are sustained over time. The study sample was selective in that it excluded those who did not consent for the use of their data and those who did not complete the course.

The research is noteworthy as literature shows that female HCWs tend to have worse mental health outcomes than males in the same field. Online learning can enable HCWs to conveniently access mental health education, accommodate their work commitments and explore topics that are potentially stigmatising.

Supply chain (SC) and knowledge management (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firm’s performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC risk management.

By adopting the dynamic capability theory, the empirical research is conducted on a sample of 312 Indian micro, small to medium enterprises. To evaluate 312 samples, the structural equation modeling approach is adopted.

The study found a is a positive relationship between SC reengineering, SC collaboration, SC integration, SC agility, SC risk management and KM. Nevertheless, the relationship between SC innovation and KM is not significant. This study also found the mediating effect of KM on SC performance, and the results shows that SC reengineering, SC collaboration, SC agility and SC risk management are having complementary mediation, while SC innovation and SC integration did not show any mediation.

This is the only research that integrates resilience strategies and KM for improving SC performance. Using KM, SC reengineering will improve SC performance by enhancing readiness and recovery strategies to avoid SC disruption. KM will improve SC collaboration. It will enhance the SC process’ overall visibility, transparency and so on. Agility leads to increased speed, visibility and flexibility, which aids in dealing with uncertainty in the environment. SCRM entails investments and additional resources (such as equipment and labor) to navigate uncertainty and risks in the SC and improve SC performance.

Understanding the factors that influence individuals’ adherence to social distancing is critical to effective policymaking in respiratory pandemics such as COVID-19. This study aims to explore the role of social factors in relation to social distancing measures.

Stratified convenience sampling was used in this survey research, involving 450 adults residing in both rural and urban areas of Aligodarz County, Lorestan, Iran.

The findings showed that approximately 14% of participants did not adhere to any of the assessed social distancing behaviors, while only around 30% adhered to all four assessed behaviors. On average, participants reported having 5.13 (SD = 3.60) close physical contact within the 24 h prior to completing the questionnaire. Bridging social capital and gender emerged as the most frequently observed predictors across the assessed social distancing measures. Additionally, age, employment status and residential setting were identified as influential factors for some of the evaluated measures.

This study contributes to the field by highlighting that the likelihood of non-adherence to social distancing measures tends to increase among male participants, those aged above 60, employed individuals, urban residents and those with a higher level of bridging social capital.

The present study is intended to assess the risk factors associated with digital buying. Also aims to design and develop an instrument to assess the digital buyers risk factor score (DBRFS) in light of pandemic.

Present investigation uses a quantitative approach to achieve the stated objectives. The survey instrument for the purpose of assessing risk factors associated with digital buying was developed in two phases. The present study adopts theory of planned behaviour (TPB), built based on the theory of reasoned action (TRA). The data were collected and analysed considering 500 valid responses, sampling unit being digital buyers using social media platforms in tyre-II city of India. The data collection was undertaken between June 2021 and August 2021. The instrument is designed and validated using exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA).

The present research identified six perceived risk factors that are associated with digital buying; contractual risk, social risk, psychological risk, perceived quality risk, financial risk and time risk. The DBRFS of male is 3.7585, while female is 3.7137. Thus, risk taking by the male and female is at par. For the age group 15–30, DBRFS is 3.6761, while age group 31–45 noted as 3.7889 and for the 46–50 age groups it is measured as 3.9649.

The marketers are expected to have the knowledge about how people responds to the pandemic. The outcome of the research helps to understand consumer behaviour but disentangling consumer’s “black box” is challenging especially during global distress. The present study outcome helps the digital shopkeepers to respond positively to meet the needs of digital buying.

The scale development and to quantify the DBRFS. A deeper understanding of about digital consumers during pandemics will help digital shopkeepers to connect issues related digital buying.

This research seeks to understand, for the first time, what motivates knowledge-intensive organizations (KIOs) to initiate knowledge management (KM) activities in times of routine and emergency. The COVID-19 pandemic was placed at the center as a case study of an extreme crisis.

Based on the adoption of the qualitative-constructivist paradigm, the study was conducted among 52 KM professionals through in-depth interviews and focus groups. The data were analyzed using a thematic analysis method, according to the principles of the grounded theory approach.

The findings reveal that opportunities and risks are two types of catalysts which accelerate KM efforts in times of routine and emergency respectively. Due to KM’s support of the transition to flexible employment during COVID-19, the authors show that this field experienced real growth and prosperity in the “new normal.” KM initiatives were promoted during the COVID-19 crisis in light of gaps in retention, sharing, accessibility and development of knowledge.

Given that knowledge risks are a field with fragmented understanding, the results contribute to understanding the importance of risk management related to knowledge in times of crises and turmoil. The authors call for incorporating this niche into the overall risk management of the organization, while adopting a holistic and long-term perspective of KM. Furthermore, the authors uncover KM’s position in KIOs during the global pandemic. The paper proposes food for thought regarding informal knowledge sharing in virtual environments typical of the “Corona routine”.

The present study used the job-demands and resources (JD-R) framework to understand how the training is transferred to an extreme working context through the analysis of job and personal resources (social support from the leader and colleagues and adaptability). Specifically, the authors tested the mediating role of motivation to transfer in the relationship (1) between the perceived support from the supervisor and colleagues and performance after training and (2) between adaptability and performance in an extreme context of the pandemic crisis – the first peak of COVID-19 in Portugal. Further, an inspection of the factors that predicted knowledge transfer and adaptability under an extreme context was carried out.

To do so, necessary training about the new safety rules regarding the pandemic crisis of COVID-19 was implemented in a healthcare institution as a strategy to help healthcare workers deal with the increasing uncertainty and complexity that was threatening their work. It consisted of three sessions (each with one hour of training) regarding procedures, rules and safety norms. The training occurred in May 2020. Overall, 291 healthcare workers participated in the study and answered one online questionnaire one week after training completion.

The results showed that the motivation to transfer had a significant indirect effect on the relationship between colleagues' and supervisors' support and performance and between adaptability and performance. Additionally, complementary analyses showed that the mediations depended on the levels of self-efficacy in such a way that the indirect relationships were stronger when self-efficacy was higher. Thus, adaptability and support, both from colleagues and the supervisor, are determining factors for knowledge transfer and resultant performance in extreme contexts, such as the COVID-19 pandemic crisis. Lastly, the results showed that the most significant predictors of transference were self-efficacy and the motivation to transfer the learned knowledge. On the other hand, self-efficacy, peer support and the opportunity to use the knowledge were the most significant predictors of adaptability.

These findings provide support for the role of employee motivation to transfer as a mechanism connecting both perceived support and adaptability to performance outcomes under extreme working contexts.

This study, conducted in the middle of the COVID-19 pandemic context – an extreme and uncertain working context – shows the relevance of both job and individual factors to predict employees' adaptability to such contexts.

This study analyzes the evolution of topics related to COVID-19 on Chinese social media platforms with the aim of identifying changes in netizens' concerns during the different stages of the pandemic.

In total, 793,947 posts were collected from Zhihu, a Chinese Question and Answer website, and Dingxiangyuan, a Chinese online healthcare community, from 31 December, 2019, to 4 August, 2021. Topics were extracted during the prodromal and outbreak stages, and in the abatement–resurgence cycle.

Netizens' concerns varied in different stages. During the prodromal and outbreak stages, netizens showed greater concern about COVID-19 news, the impact of COVID-19 and the prevention and control of COVID-19. During the first round of the abatement and resurgence stage, netizens remained concerned about COVID-19 news and the prevention and control of the pandemic, however, less attention was paid to the impact of COVID-19. During later stages, popularity grew in topics concerning the impact of COVID-19, while netizens engaged more in discussions about international events and the raising of spirits to fight the global pandemic.

This study contributes to the practice by providing a way for the government and policy makers to retrospect the pandemic and thereby make a good preparation to take proper measures to communicate with citizens and address their demands in similar situations in the future.

This study contributes to the literature by applying an adapted version of Fink's (1986) crisis life cycle to create a five-stage evolution model to understand the repeated resurgence of COVID-19 in Mainland China.