Human capital and organisational resilience in the context of manufacturing: a systematic literature review

PurposeThe manufacturing sector is well known for its significance in upholding the economic prosperity of many nations. However, in today's unprecedented environment, the resilience of this sector has become vulnerable to relentless catastrophic events, thus gaining a serious concern among the economies driven by this sector. Albeit the various determinants, human capital emerges as the widely accepted core factor that holds the key to proliferate organisational resilience. Therefore, the present systematic literature review seeks to intensify the understanding of the link between human capital and organisational resilience in the manufacturing context.Design/methodology/approachThis paper systematically reviews the studies converging human capital and organisational resilience in the context of manufacturing from the year 2011 to 2021 based on the PRISMA protocol. A bibliographic coupling analysis was carried out using VOSviewer software to expose the main research themes and trends concerning the relationship.FindingsThe bibliographic coupling analysis discovered links between publications to produce a framework outlining a holistic state-of-art of the literature intersecting human capital and organisational resilience. The analysis identified main research themes by clustering the prior studies into seven groups, which describe the direction of the literature.Originality/valueThis study offers a novel framework and in-depth understanding to the research community to delve into the interrelationship between human capital and organisational resilience research. Guided by the gaps in the literature, a set of outstanding avenues for the forthcoming studies are also proposed.

Revisiting SMEs' Business Strategy: Shifting Outsourcing to Crowdsourcing Practices to Enhance SMEs' Performance

Kemunculan platform teknologi digital seperti platform penyumberan awam, membolehkan usahawan FKS mewujudkan hubungan langsung antara pembekal, pelanggan dan membina hubungan baik dengan pihak berkepentingan. Amalan penyumberan awam mampu menawarkan FKS peluang yang belum pernah diperolehi bagi meningkatkan prestasi perniagaan mereka melalui mengoptima penggunaan kumpulan besar bijaksana di kalangan orang ramai. Berdasarkan strategi perniagaan di atas, adalah sangat penting kepada FKS untuk menyemak semula strategi perniagaan melalui perubahan pendekatan secara tradisional dalam menjalankan perniagaan (penyumberan luar) kepada pendekatan perniagaan baharu iaitu amalan penyumberan awam. Secara khusus, kajian ini meneroka peranan amalan penyumberan awam, pemilik-pengurus inovatif, kualiti hubungan dalam meningkatkan prestasi perniagaan FKS. Teknik analisis yang digunakan dalam kajian ini menggunakan FLS-SEM. Fenemuan kajian mendapati bahawa pemilik-pengurus inovatif dan kualiti perhubungan komitmen dapat dijelaskan dengan lebih lanjut melalui amalan penyumberan awam bagi meningkatkan prestasi perniagaan. Kajian ini dapat meningkatkan pengetahuan mengenai penyumberan awam di kalangan FKS dalam menyemak semula strategi perniagaan yang sedia ada;dan perlaksanaan serta pengurusan amalan penyumberan awam di organisasi supaya lebih baik dalam memastikan perniagaan terus kekal semasapasca COVID-19.Alternate :The emergence of digital technology platforms such as crowdsourcing platform allows SMEs to establish an unmediated connection between suppliers and the customers;hence, enabling a close engagement with other stakeholders. Crowdsourcing practice offers the SMEs an unprecedented opportunity to enhance their business performance via the utilization of a large pool of crowds' wisdom. Based on the above business strategy, it is very crucial to revisit SMEs ' business strategy;i.e., by shifting traditional method of conducting business (outsourcing) to new business phenomenon i.e. crowdsourcing practices. Specifically, this paper attempts to explore the roles of crowdsourcing practices, innovative owner-managers, and the relationship quality in enhancing SMEs' business performance. The analysis technique used in this study using FLS-SEM. The study 's findings revealed that innovative owner-manager and relationship quality of commitment can be explained further via leveraging on crowdsourcing practices to improve business performance. This study may enrich the crowdsourcing knowledge among SMEs to revisit their existing business strategies;and to implement and better manage crowdsourcing practices in their organizations, particularly in sustaining their businesses post COVID-19.

Entrepreneurial Intention and Delayed Job Satisfaction From the Perspective of Emotional Interaction: The Mediating of Psychological Capital.

The coronavirus disease 2019 (COVID-19) pandemic has exacerbated the labour shortage, and promoting entrepreneurship to spur job creation is one of the most effective strategies to address this problem. Entrepreneurs must lengthen their employment or start-up cycles due to COVID-19 normalisation. Consequently, the impact of career willingness to delay satisfaction on entrepreneurial ambition is investigated in this research via an online survey in Jiangsu Province, China. The findings show that students with a high level of career delayed contentment has a higher level of entrepreneurial intention (EI), implying that career delayed contentment intention influences EI positively. Psychological capital (PC) modifies this process, increasing the influence of job delayed satisfaction on EI by strengthening PC. PC's significant components are self-efficacy, hope, optimism, and flexibility. This study combines the willingness to wait for satisfaction with the willingness to start a business, providing a valuable reference for reducing the work condition caused by the COVID-19 epidemic.

Collaborative governance dalam penanggulangan COVID-19 studi kasus: Pemerintah Daerah Istimewa Yogyakarta dan Muhammadiyah COVID-19 Command Centre

Pandemi COVID-19 sejak kemunculannya di tanah air terus memberikan dampak nyata bagi kehidupan manusia. Provinsi Daerah Istimewa Yogyakarta sebagai daerah yang cukup ramai dari adanya aktivitas masyarakat baik itu masyarakat lokal maupun pendatang tentunya memiliki potensi untuk meluasnya paparan Virus COVID-19 ini lebih cepat. Hal ini tentunya membutuhkan suatu penanggulangan yang dilakukan oleh berbagai sektor guna mempercepat penanganan ini seperti apa yang dilakukan oleh BPBD DIY dengan MCCC PWM DIY. Penelitian ini memiliki tujuan untuk mengetahui seberapa efektifnya peran NGO yaitu MCCC dengan BPBD DIY dalam penanggulangan COVID-19 di wilayah D.I Yogyakarta. Penelitian ini dilakukan dengan menggunakan jenis penelitian berupa metode kualitatif dan pendekatan studi kasus. Hasilnya diketahui bahwa pola hubungan yang dilakukan antara kedua lembaga tersebut dilakukan melalui pembentukan posko dukungan yang sejatinya memiliki 3 fungsi utama yakni cipta kondisi dekontaminasi dan pemulasaran jenazah COVID-19. Collaborative Governance antara MCCC PWM DIY dengan BPBD DIY menunjukkan intensitas yang baik dalam melakukan penanganan Pandemi COVID-19. Kesimpulan yang didapat bahwasanya pola kolaborasi yang dilakukan ini cenderung efektif mengingat penanganan lapangan membutuhkan suatu tindakan cepat dengan dukungan sumber daya yang mencukupi yang dipenuhi melalui interaksi antar sektor.

Upaya peningkatan pelayanan posyandu citra saat pandemi COVID-19 RW 12 desa Jayaraga Garut

Kegiatan PPM ini dilatarbelakangi oleh kejadian pandemi COVID-19 yang berdampak  kepada pelayanan kesehatan disemua tingkatan termasuk pelayanan kesehatan di Posyandu Citra RT 04 RW 12 Desa Jayaraga Garut. Pelayanan kesehatan di Posyandu ini tidak bisa melaksanakan pelayanan kesehatan setiap bulan. Ibu yang memiliki bayi balita tidak datang ke posyandu walaupun dijinkan untuk membuka pelayanan selama dua bulan. Melihat kondisi tersebut akan berpengaruh terhadap masalah kesehatan masyarakat. Kegiatan ini bertujuan untuk meningkatkan pelayanan kesehatan di Posyandu Citra saat pandemi COVID-19. Metode kegiatan yang dilaksanakan diawali dengan persiapan sosial pelaksanaan dan evaluasi kegiatan. Hasil kegiatan PPM ini adalah tetap melakukan pelayanan kesehatan selama dua bulan dan melakukan kunjungan pada bayi balita yang tidak datang dibulan tersebut melakukan pemeiksaan tekanan darah bagi masyarakat sekitar dan melakukan gerakan kebersihan bersama masyarakat di sekitar lokasi posyandu Citra. Diharapkan dari kegiatan ini dapat meningkatkan peran serta masyarakat dalam bidang kesehatan.Kata Kunci : COVID-19 Peningkatan Pelayanan Posyandu.  This PPM activity was motivated by the COVID-19 pandemic which had an impact on health services at all levels including health services at Posyandu Citra RT 04 RW 12 Desa Jayaraga Garut. Health services at this Posyandu cannot provide health services every month. Mothers who have babies under five do not come to the posyandu even though they are allowed to open the service for two months. Seeing this condition will affect public health problems. This activity aims to improve health services at Posyandu Citra during the COVID-19 pandemic. The method of activities carried out begins with social preparation implementation and evaluation of activities. The results of this PPM activity are continuing to provide health services for two months and making visits to infants who do not come this month conducting blood pressure checks for the surrounding community and conducting hygiene movements with the community around the Posyandu Citra location. It is hoped that this activity can increase community participation in the health sector. Keywords: COVID-19 Service Improvement Posyandu.

Modelling COVID-19 Scenarios for the States and Federal Territories of Malaysia.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19 disease, which has become pandemic since December 2019. In the recent months, among five countries in the Southeast Asia, Malaysia has the highest per-capita daily new cases and daily new deaths. A mathematical modelling approach using a Singular Spectrum Analysis (SSA) technique was used to generate data-driven 30-days ahead forecasts for the number of daily cases in the states and federal territories in Malaysia at four consecutive time points between 27 July 2021 and 26 August 2021. Each forecast was produced using SSA prediction model of the current major trend at each time point. The objective is to understand the transition dynamics of COVID-19 in each state by analysing the direction of change of the major trends during the period of study. The states and federal territories in Malaysia were grouped in four categories based on the nature of the transition. Overall, it was found that the COVID-19 spread has progressed unevenly across states and federal territories. Major regions like Selangor, Kuala Lumpur, Putrajaya and Negeri Sembilan were in Group 3 (fast decrease in infectivity) and Labuan was in Group 4 (possible eradication of infectivity). Other states e.g. Pulau Pinang, Sabah, Sarawak, Kelantan and Johor were categorised in Group 1 (very high infectivity levels) with Perak, Kedah, Pahang, Terengganu and Melaka were classified in Group 2 (high infectivity levels). It is also cautioned that SSA provides a promising avenue for forecasting the transition dynamics of COVID-19; however, the reliability of this technique depends on the availability of good quality data.

Preparing for and conducting the National Health and Morbidity Survey in Malaysia amid the COVID-19 pandemic: balancing risks and benefits to participants and society.

PROBLEM: The novel coronavirus disease 2019 (COVID-19) pandemic adversely affected the preparation of Malaysia's National Health and Morbidity Survey for 2020 because conducting it would expose data collectors and participants to an increased risk of infection. CONTEXT: The survey is nationally representative and community based and is conducted by the Institute for Public Health, part of the National Institutes of Health, to generate health-related evidence and to support the Malaysian Ministry of Health in policy-making. Its planned scope for 2020 was the seroprevalence of communicable diseases such as hepatitis B and C. ACTION: Additional components were added to the survey to increase its usefulness, including COVID-19 seroprevalence and facial anthropometric studies to ensure respirator fit. The survey's scale was reduced, and data collection was changed from including only face-to-face interviews to mainly self-administered and telephone interviews. The transmission risk to participants was reduced by screening data collectors before the survey and fortnightly thereafter, using standard droplet and contact precautions, ensuring proper training and monitoring of data collectors, and implementing other administrative infection prevention measures. OUTCOME: Data were collected from 7 August to 11 October 2020, with 5957 participants recruited. Only 4 out of 12 components of the survey were conducted via face-to-face interview. No COVID-19 cases were reported among data collectors and participants. All participants were given their hepatitis and COVID-19 laboratory test results; 73 participants with hepatitis B and 14 with hepatitis C who had been previously undiagnosed were referred for further case management. DISCUSSION: Preparing and conducting the National Health and Morbidity Survey during the COVID-19 pandemic required careful consideration of the risks and benefits, multiple infection prevention measures, strong leadership and strong stakeholder support to ensure there were no adverse events.

Effect of COVID-19 virus on reducing GHG emission and increasing energy generated by renewable energy sources: A brief study in Malaysian context.

Coronavirus 2019 (COVID-19) has globally affected the human mortality rate and economic history of the modern world. According to the World Health Organization, COVID-19 has caused a severe threat to the health of the vulnerable groups, notably the elderly. There is still some disagreements regarding the source of the virus and its intermediate host. However, the spread of this disease has caused most countries to enforce strict curfew laws and close most industrial and recreational centres. This study aims to show the potential positive effects of COVID-19 on the environment and the increase of renewable energy generation in Malaysia. To prevent the spread of this disease, Malaysia enacted the Movement Control Order (MCO) law in March 2020. Implementation of this law led to a reduction in environmental pollution, especially air pollution, in this country. The greenhouse gases (GHG) emission , which was 8 Mt CO2 eq. from January 2020 to March 2020, reduced to <1 Mt CO2 eq. for April and May. The reduction of GHG emission and pollutant gases allowed more sunlight to reach photovoltaic panels, hence increasing the renewable energy generation.

Comorbidities and clinical features related to severe outcomes among COVID-19 cases in Selangor, Malaysia.

BACKGROUND: Pre-existing comorbidities can predict severe disease requiring intensive care unit (ICU) admission among COVID-19 cases. We compared comorbidities, clinical features and other predictive factors between COVID-19 patients requiring ICU admission for intubation/mechanical ventilation and all other COVID-19 cases in Selangor, Malaysia. METHOD: Field data collected during the COVID-19 outbreak in Selangor, Malaysia, up to 13 April 2020 were used, comprising socio-demographic characteristics, comorbidities and presenting symptoms of COVID-19 cases. ICU admission was determined from medical records. Multiple logistic regression analysis was performed to identify factors associated with ICU admission requiring intubation/mechanical ventilation among COVID-19 cases. RESULTS: A total of 1287 COVID-19-positive cases were included for analysis. The most common comorbidities were hypertension (15.5%) and diabetes (11.0%). More than one third of cases presented with fever (43.8%) or cough (37.1%). Of the 25 cases that required intubation/mechanical ventilation, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% were lethargic. Multivariate regression showed that cases that required intubation/mechanical ventilation had significantly higher odds of being older (aged 360 years) [adjusted odds ratio (aOR) = 3.9] and having hypertension (aOR = 5.7), fever (aOR = 9.8), dyspnoea (aOR = 9.6) or lethargy (aOR = 7.9) than cases that did not require intubation/mechanical ventilation. CONCLUSION: The COVID-19 cases in Selangor, Malaysia requiring intubation/mechanical ventilation were significantly older, with a higher proportion of hypertension and symptoms of fever, dyspnoea and lethargy. These risk factors have been reported previously for severe COVID-19 cases, and highlight the role that ageing and underlying comorbidities play in severe outcomes to respiratory disease.

Percutaneous Ultrasound Guided Gastrostomy Tube Placement: A Prospective Cohort Trial.

BACKGROUND: To compare the safety and efficacy of percutaneous ultrasound guided gastrostomy (PUG) tube placement with traditional fluoroscopic guided percutaneous gastrostomy tube placement (PRG). METHODS: A prospective, observational, non-randomized cohort trial was performed comparing 25 consecutive patients who underwent PUG placement between April 2020 and August 2020 with 25 consecutive patients who underwent PRG placement between February 2020 and March 2020. Procedure time, sedation, analgesia requirements, and complications were compared between the two groups in non-inferiority analysis. RESULTS: Technical success rates were 96% in both groups (24/25) of procedures. Ninety-two percent of patients in the PUG cohort were admitted to the ICU at the time of G-tube request. Aside from significantly more COVID-19 patients in the PUG group (P < .001), there was no other statistically significant difference in patient demographics. Intra-procedure pain medication requirements were the same for both groups, 50 micrograms of IV fentanyl (P = 1.0). Intra-procedure sedation with IV midazolam was insignificantly higher in the PUG group 1.12 mg vs 0.8 mg (P = .355). Procedure time trended toward statistical significance (P = .076), with PRG being shorter than PUG (30.5 ± 14.1 minutes vs 39.7 ± 17.9 minutes). There were 2 non-device related major complications in the PUG group and 1 major and 1 minor complication in the PRG group. CONCLUSION: PUG is similar in terms of complications to PRG gastrostomy tube placement and a safe method for gastrostomy tube placement in the critically ill with the added benefits of bedside placement, elimination of radiation exposure, and expanded and improved access to care.

Covid-19 detection via deep neural network and occlusion sensitivity maps

Deep learning approaches have attracted a lot of attention in the automatic detection of Covid-19 and transfer learning is the most common approach. However, majority of the pre-trained models are trained on color images, which can cause inefficiencies when fine-tuning the models on Covid-19 images which are often grayscale. To address this issue, we propose a deep learning architecture called CovidNet which requires a relatively smaller number of parameters. CovidNet accepts grayscale images as inputs and is suitable for training with limited training dataset. Experimental results show that CovidNet outperforms other state-of-the-art deep learning models for Covid-19 detection.

Measuring Time-Varying Effective Reproduction Numbers for COVID-19 and Their Relationship with Movement Control Order in Malaysia.

To curb the spread of SARS-CoV-2 virus (COVID-19) in Malaysia, the government imposed a nationwide movement control order (MCO) from 18 March 2020 to 3 May 2020. It was enforced in four phases (i.e., MCO 1, MCO 2, MCO 3 and MCO 4). In this paper, we propose an initiative to assess the impact of MCO by using time-varying reproduction number (Rt). We used data from the Johns Hopkins University Centre for Systems Science and Engineering Coronavirus repository. Day 1 was taken from the first assumed local transmission of COVID-19. We estimated Rt by using the EpiEstim package and plotted the epidemic curve and Rt. Then, we extracted the mean Rt at day 1, day 5 and day 10 for all MCO phases and compared the differences. The Rt values peaked around day 43, which was shortly before the start of MCO 1. The means for Rt at day 1, day 5, and day 10 for all MCOs ranged between 0.665 and 1.147. The average Rt gradually decreased in MCO 1 and MCO 2. Although spikes in the number of confirmed cases were observed when restrictions were gradually relaxed in the later MCO phases, the situation remained under control with Rt values being stabilised to below unity level (Rt value less than one).

The knowledge about coronavirus (COVID-19) among populations in two different Arab countries.

COVID-19 is an infectious disease caused by a newly discovered coronavirus. Most patients infected with the COVID-19 virus experience mild to moderate respiratory symptoms and heal without any special treatment. This survey aimed to assess the knowledge of Syrian and Saudi populations about the general information, symptoms, and methods of prevention of coronavirus (COVID-19). MATERIALS AND METHODS: A standardized questionnaire composed of four sections (demography, general information about COVID-19, symptoms of COVID-19 infection, and methods of prevention) including 34 questions divided between the four mentioned sections were sent online to different social media in the Syrian Arab Republic and Kingdom of Saudi Arabia as a Google drive form. The collected data were coded, computerized, and analyzed using methods of descriptive statistics by SPSS 25. A Chi-square test was done. RESULTS: The total number of participants was 790; most of them were in the age group of 18-30 years (60.3%) wherein females formed about 59.2% of the whole sample. About 94.6% of the respondents from Syria agreed that several coronaviruses are known to cause respiratory infections while 45.6% of Saudi people knew that diarrhea is one of the symptoms of coronavirus (COVID-19). The good results of this current study were clear in the section of coronavirus (COVID-19) prevention as most of the information was correct in more than 60% of answers. CONCLUSION: The knowledge of Syrian and Saudi populations about the general information, symptoms, and methods of prevention of coronavirus COVID-19 was very good to excellent except in very limited points.

Stability analysis and optimal control of covid-19 with convex incidence rate in Khyber Pakhtunkhawa (Pakistan).

The dynamic of covid-19 epidemic model with a convex incidence rate is studied in this article. First, we formulate the model without control and study all the basic properties and results including local and global stability. We show the global stability of disease free equilibrium using the method of Lyapunov function theory while for disease endemic, we use the method of geometrical approach. Furthermore, we develop a model with suitable optimal control strategies. Our aim is to minimize the infection in the host population. In order to do this, we use two control variables. Moreover, sensitivity analysis complemented by simulations are performed to determine how changes in parameters affect the dynamical behavior of the system. Taking into account the central manifold theory the bifurcation analysis is also incorporated. The numerical simulations are performed in order to show the feasibility of the control strategy and effectiveness of the theoretical results.