Building BPJS Image, Public Trust and Intention to Use JKN Mobile Services During the Covid Pandemic

Purpose: to analyze the ability of the National Health Insurance mobile service quality to build BPJS brand image and public trust to increase intention to use online services during the Covid period. The background of this research is based on the phenomenon in the form of complaints on the quality of online services and research gaps on the effect of service quality on the intention to use online services. Brand image and trust are offered as a mediation for gaps in previous research results. Design/ methodology/approach: The type of research is quantitative, using a pre-existing measurement scale related to mobile service quality, brand image, trust and intention. Involving a sample of 140 BPJS users during the Covid pandemic. It is difficult to identify the population size, the sample size is determined by the formulation of a constant value of 5 multiplied by 28 indicators. The technique of selecting respondents was carried out by means of non-probability random sampling. PLS SEM model as an analysis tool. Findings: The results of this study indicate that the direct relationship of mobile service quality on brand image, trust and intention shows significant positive results. Furthermore, the influence of brand image on trust shows significant results. The influence of brand image and trust on intention is also found to be significantly positive. Practical/implications: although management policies encourage customers to use mobile services more, the public still considers the trustworthy image of BPJS to develop their intention to use mobile application services. The government must remain consistent in ensuring that the quality of mobile service is not compromised because the implications for BPJS image and public trust are at stake. Through the person in charge at BPJS, the government must continue to consistently evaluate and improve the system and educate the public regarding this BPJS health mobile service system. Originality/value: This research offers new insights, filling gaps in studies on national health insurance mobile services during the Covid-19 Pandemic

Microbusinesses' challenges and perceptions in using social media during the COVID-19 crisis

COVID-19 struck the world by storm and has taken its victims along the way. It had also put the whole world on a temporary pause as people tried to manage the virus as best as possible. It has affected people all around the globe and had a huge impact on the global economy. This research will look into how microbusinesses have used social media in order to better face the challenges and changes that came due to the COVID-19 crisis while it will discuss how businesses' perceptions were altered along the way. In particular we are reviewing relevant academic literature surrounding microbusinesses and how they have been affected by COVID-19. The research methods used within this study, and the research results will be stated with reference to primary respondents. We have used a combination of secondary and primary research to develop further understanding of microbusinesses and the impact that COVID-19 has had on organizations in relation to the use of the internet and social media platforms. Limitations of the study will also be identified, and future research areas will be identified.

Next normal for business post pandemics: COVID-19

The world's supply chains are changing as both expected and unexpected environmental pandemics occur. Even though some may be expected, the full extent and ramifications a pandemic will have is an estimate at best. Thus, both flexibility and resiliency are becoming crucial to efficient supply chain systems. This study analyses the recent COVID-19 phenomenon and uses it to gauge reactions, best practices, resilience-based issues and operational performance metrics in order to assist with potential future pandemics. Education, as seen, plays a pivotal role in effectively offering options to combat uncertainty and fluid situations. Such dynamic environments have historically posed a serious problem to operations;however, with proper preparation and care taken options are available today that help marginalize harm of future pandemics.

COVID-19, uncertainty and acceleration of innovation

The aim of this Special Issue is to review and discuss, through practical examples from different countries, the rapid and effective responses of industries, societies and governments to the high level of uncertainty and risks created by the COVID-19 pandemic. This unprecedented health crisis has pushed managers, scientists, policy makers and many other social, economic and health actors to think ‘out of the box' and provide quick solutions by reducing the process of innovation, introducing new business models and new ways of ‘doing things' in many areas such as medicine, finance, retailing, communication, teaching, supply chains and sustainable development. This Special Issue also highlights the importance of holistic approach and collaboration between different disciplines and stakeholders.

The COVID-19 Pandemic Effect on Customer Tipping Behavior for Online Motorcycle Taxi Service

This research aims to determine whether there is a change in the amount of tip for drivers by customers during the COVID-19 pandemic compared to before the pandemic and to find out the customers' motives in tipping drivers during the COVID 19 pandemic. The research employs a quantitative approach through survey methods. The scale measurement technique uses the Likert scale and Interval scale. The number of respondents in this research are 453 Indonesian who use online motorcycle taxi service application. The data obtained were analyzed using SPSS through descriptive statistical analysis and multiple linear regression. The results show that most of the respondents tipped more amount during the COVID-19 pandemic than the amount of tip they gave before the pandemic. Giving a tip to drivers by customers was driven by several motives/ reasons in the following order: a customer has the nature of wanting to help others without expecting to get rewards (altruism), wants to follow and obey applicable social norms (social norms), wants to give a reward for the satisfaction obtained from good service (reward positively), and wants to maintain social status and increase self-esteem in the social environment (social esteem).

Cashless preferences during the COVID-19 pandemic: investigating user intentions to continue UPI-based payment systems in India

PurposeThis study aims to examine the factors influencing user satisfaction with unified payment interface (UPI)-based payment systems during the COVID-19 pandemic in India. The study also aimed to examine whether the user satisfaction with UPI-based payment systems during the COVID-19 pandemic will transform into their continuance intention post-COVID-19 pandemic.Design/methodology/approachThe study was performed in three phases, i.e. pre-testing (for developing questionnaire), pilot study (using exploratory factor analysis to ensure unidimensionality) and the main study. The main study was based on the feedback from a sample of 369 internet users who first used the UPI-based payment system during the COVID-19 pandemic. Data generated were analysed using the structural equation modelling approach.FindingsThe study findings suggest that the users who are satisfied with UPI-based transactions during the COVID-19 pandemic are likely to continue their use of this payment mode in future. Factors such as post-adoption perceived value, perceived usefulness and post-adoption perceived risk were observed to be key constructs in explaining user satisfaction and continued intention for UPI-based payment systems.Originality/valueThe study is one of the pioneering studies, in the sense that it investigated the continuance intention of UPI-based payment systems, which, surprisingly, did not gain much attention from past researchers.

Healthcare costs vis-à-vis economic growth in pandemic crisis with technology adoption

COVID-19 pandemic brought up issues with healthcare costs, national economic development and welfare of the society in forefront. Nations across the globe followed different approaches to deal with COVID-19, such as zero tolerance, herd immunity, containment to build treatment capability. National healthcare became a contentious sociopolitical issue involving healthcare costs, technologies and societal health. In the United States even during the COVID-19 pandemic, the government approach was pursuing a sustainable improvement in patient care through adoption of medical and information technologies. The national healthcare policies are framed around technological interventions with the assumption that deployment of technologies could keep healthcare costs under control and at the same time improve health outcomes. However, evidences show that the healthcare costs are in the rise even with impressive progress in technological deployment. This article highlights some of the recent trends in healthcare costs, technological preparedness, medical technology developments in managing COVID-19 pandemic. The US government mandated electronic health record (EHR) systems implementation and assess its impact on healthcare costs and health outcomes. This article emphasizes the need for understanding the interconnectedness of costs, technology and societal health.

Managing risk in commercial property development projects during the COVID-19 pandemic: Evidence from China

The COVID-19 pandemic is the biggest global health crisis in years. China is the first market primarily affected by the COVID-19 pandemic, with unprecedented lockdown measures bringing real estate and other economic activities to a standstill. This study has two objectives: (1) to identify the risks critical to the risk management of commercial real estate (CRE) development projects based on the project life cycle stages and (2) to identify the stages most affected by the COVID-19 pandemic and the risk factors at different stages. Three rounds of the Delphi study were conducted with nine experts involved in the construction project. The findings indicate that the construction, lease and sale phases are prone to significant risks. Additionally, the analytic hierarchy process (AHP) identified ‘health and safety risk' as the most critical risk factor during the construction phase and ‘marketing and payback risk' as the most critical risk factor during the lease and sale phase. This study enhanced the effectiveness of risk management practices for implementing CRE development projects in China.

Enumerating happiness index during COVID-19 lockdowns using artificial intelligence techniques

Happiness index is an all-inclusive methodology to assess well-being and happiness aspects of human resilience and sustainability. Pandemic like COVID-19 has brought deep level changes to human lifestyle and social behaviours. The world has been reshaped and life has more than likely changed permanently. This has led to calls for mental health, yet there is a dire need to introspect the mental state of health and behavioural changes. Happiness index is calculated based on factors such as GDP, freedom to make choice, health life expectancy and social support. These factors are analysed using datasets from social media with machine learning algorithms to map human response to the pandemic. This research focuses on use of artificial intelligence on the impact of lockdowns due to COVID-19 on the global happiness index.

Impact of digital innovations to manage the challenges of COVID-19 lockdown: A study based on the lessons from Indian organizations

The purpose of this study is to identify and analyse the impact of digital innovations to manage business operations during COVID-19 lockdown. Due to COVID-19, a nation-wide lockdown affected the Indian economy severely as both service and manufacturing organizations were closed for a long duration. Thus, to manage with these challenges and address the expectations of their employees, organizations identified various artificial intelligence (AI) and cloud-based digital innovations to continue their business operations during lockdown. The study used a systematic review of literature and document analysis to unravel such innovations that have been initiated and implemented in Indian organizations during COVID-19 lockdown. The study finds that digital innovations and strategies are useful for coping with unseen challenges and also can transform the organizations into smarter ones. The study proposes a conceptual framework on the basis of findings, which will be used for futuristic studies.

A mixed-method study on the barriers of industry 4.0 adoption in the Indonesian SMEs manufacturing supply chains

PurposeThis paper aims to investigate the adoption barriers of Industry 4.0 in the Indonesian manufacturing supply chains.Design/methodology/approachThe mixed method was deployed to validate the findings. First, the qualitative study was conducted based on the interviews. Then, the companies were approached using filter questions on the involvement in adopting industry 4.0 and its impact on the supply chain.FindingsBased on the qualitative study, nine main barriers were found in the thematic analysis. Thus, to get a consensus on the barriers in the industry, the barrier indicators were tested using a structural equation model retrieved from 173 small and medium Indonesian manufacturing firms. Results indicate that five main barriers (e.g. unclear Industry 4.0 policy, higher-risk investment, insecure data sharing, lack of expertise and lack of incentive) are confirmed as the adoption barriers.Practical implicationsThe successful adoption of supply chain integration with Industry 4.0 technology can strengthen the manufacturing sector and competitiveness. Therefore, this study can be a complimentary assessment to evaluate the Indonesia Industry 4.0 Readiness Index (INDI 4.0) and the effectiveness of the government support program.Originality/valueThe results can be used as the framework to foresee the successful implementation of smart manufacturing supply chain management and its integration. Therefore, the authors proposed the framework to foresee the successful implementation of smart manufacturing, supply chain management and integration.

Digitalization of the supply chain: transformation factors

PurposeThere is an increasing interest in the supply chain's digitalization, yet the topic is still in the preliminary stages of academic research. The academic literature has no consensus and is still limited to research assessing the supply chain's digitalization of organizations. This study aims to explore the supply chain digitalization drivers to understand the emerging phenomena. More specifically, the authors devised from the literature the most common factors in assessing the readiness in scaling supply chain digitalization.Design/methodology/approachThis study followed a five-phased systematic literature review (SLR) methodology in this research: designing, analyzing, conducting, writing and assessing the quality of the review. The SLR is beneficial for justifying future research regardless of the complex process that requires dealing with high-level databases, information filtering and relevancies of the content. Through analysis of 347 titles and s and 40 full papers, the authors showed and discussed the supply chain digitalization: transformation factors.FindingsThe results generated three main themes: technology, people and processes. The study also generated ten subthemes/primary drivers for assessing the readiness for supply chain digitalization in organizations: IT infrastructure, cybersecurity systems, digitalization reskilling and upskilling, digitalization culture, top management support, digitalization and innovation strategy, integrated supply chain, digital innovation management, big data management and data analytics and government regulations. The importance of each factor was discussed, and future research agenda was presented.Research limitations/implicationsWhile the key drivers of the supply chain digitalization were identified, there is still a need to study the statistical correlation to confirm the interrelationships among factors. This study is also limited by the articles available in the databases and content extraction.Practical implicationsThis study supports decision-makers in understanding the critical drivers in digitalizing the supply chain. Once these factors are studied and comprehended, managers and decision-makers could better anticipate and allocate the proper resources to embark on the digitalization journey and make informed decisions.Originality/valueThe digitalization of the supply chain is more critical nowadays due to the global disruptions caused by the Coronavirus (COVID-19) pandemic and the surge of organizations moving toward the digital economy. There is a gap between the digital transformation pilot studies and implementation. The themes and factors unearthed in this study will serve as a foundation and guidelines for further theoretical research and practical implications.

Mobile learning adoption continuance: role of locus of control on its determinants

PurposeThis study aims to investigate the factors affecting (i.e. determinants) the continuance of mobile learning adoption in an informal setting among higher education learners from a rural region in the Philippines. It assesses the extent of the determinants of mobile learning adoption continuance and their interrelationships and the role of a personality trait (e.g. locus of control) on its determinants.Design/methodology/approachThis study used a rigorous literature review method that led to a mobile learning adoption continuance model. This proposed model analyzed the perceptions of higher education learners' experiences on mobile learning adoption during the COVID-19 pandemic (i.e. informal setting). The data collection was self-administered using an online survey from a convenience sample size of 434 using adapted questionnaire instruments. The study used factor analysis by using a structural package for social sciences (SPSS) and analysis of the moment of the structure. The effect sizes of the direct effect, simple and serial mediation and interaction effects in a path model were analyzed by using user-defined estimand and orthogonalized approaches.FindingsThe findings indicate that the effect of perceived security risks along with perceived functional benefit and learner value affect the mobile learning adoption continuance. The perceived learner value mediates the perceived functional benefit relationship on mobile learning adoption continuance. Perceived security risk indirectly affects mobile learning adoption continuance through perceived functional benefit and learner value. In addition to this, the internal locus of control strengthens the positive relationship between perceived functional benefit and mobile learning adoption continuance. However, it dampens the positive relationship of perceived learner value.Originality/valueThe study provides an essential foundation on the mobile learning adoption model that focuses on its continuance. This model integrated perceived security risks, functional benefits and learner value aspects of continuance intention that higher education institutions may consider in their mobile learning initiative. It further provides evidence to intensify the important moderating role of locus of control that intervenes on the determinants of mobile learning adoption continuance.

Predicting students' continuance use of learning management system at a technical university using machine learning algorithms

PurposeThis study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms.Design/methodology/approachThe proposed model for this study adopted a unified theory of acceptance and use of technology as a base model and incorporated the following constructs: availability of resources (AR), computer self-efficacy (CSE), perceived enjoyment (PE) and continuance intention to use (CIU). The study used an online questionnaire to collect data from 280 students of a Technical University in Ghana. The partial least square-structural equation model (PLS-SEM) method was used to determine the measurement model's reliability and validity. Machine learning algorithms were used to determine the relationships among the constructs in the proposed research model.FindingsThe findings from the study confirmed that AR, CSE, PE, performance expectancy, effort expectancy and social influence predicted students' continuance intention to use the LMS. In addition, CIU and facilitating conditions predicted the continuance use of the LMS.Originality/valueThe use of machine learning algorithms in e-learning systems literature has been rarely used. Thus, this study contributes to the literature on the continuance use of e-learning systems using machine learning algorithms. Furthermore, this study contributes to the literature on the continuance use of e-learning systems in developing countries, especially in a Ghanaian higher education context.

Oil price shocks, economic policy uncertainty, and green finance: a case of China

This study investigates the long- and short-run effects of crude oil price (COP) and economic policy uncertainty (EPU) on China's green bond index (GBI) using the quantile autoregressive distributed lag model. The empirical results show that COP and EPU produce a significant positive and negative influence on GBI in the long-run across most quantiles, respectively, but their short-run counterparts are opposite direction and only significant in higher quantiles. Thus, major contributions are made accordingly and shown in the following aspects. The findings emphasise the importance of understanding how COP and EPU affect China's green bond market for the first time. In addition, both the long- and short-run effects are captured, but long-run shocks primarily drive the green bond market. Finally, time- and quantile-varying analyses are adopted to explain the nexus between COP and EPU to GBI, which considers not only different states of the bond market but also events that occur in different time periods. Some detailed policies, such as a unified and effective green bond market, an early warning mechanism of oil price fluctuation, and prudent economic policy adjustments, are beneficial for stabilising the green finance market.

Digitalization in higher education: does personal innovativeness matter in digital learning?

PurposeThe explosion of technology has revolutionized the teaching and learning process in higher education. Students are using the digital technology to aid their learning process. In this sense, digital divide exists among students in higher education as they come from different socioeconomic backgrounds. Thus, this study aims to examine the digital usage among the students from the low-income families (B40) in higher education institutions.Design/methodology/approachThe data was drawn by using an online survey from the undergraduates (low-income families B40) in Malaysia higher education institutions. In total, 391 responses were collected. The data was analysed using structural equation modelling method.FindingsThe results showed that performance expectancy and facilitating conditions have a significant relationship with digital usage. In addition, personal innovativeness has positive significant effect on performance expectancy and effort expectancy.Research limitations/implicationsThis study sheds light on the students from the lower income family behaviour while using digital technologies for their learning purpose.Originality/valueThe study further contributes to the new knowledge on students from the low-income family's behaviour in using digital technology for their learning process.

Spatial differentiation of urban economic resilience and its influencing factors: evidence from Baidu migration big data

Under the development pattern of the "double cycle”, optimizing urban economic resilience is tremendously meaningful to improving a city's affordability and the adaptability of the economy and to promoting the Chinese economy to develop with high quality. Based on Baidu migration big data perspective, exploratory spatial data analysis (ESDA) and multi-scale geographical weighted regression (MGWR) model were used to analyze the spatial characteristics and driving factors of economic resilience in 287 Chinese cities in 2019. The results show that (1) the number of low-level economically resilient cities is the largest and distributed continuously, while the number of high-level economically resilient cities is the lowest and distributed in clusters and blocks;(2) compared with the Pearl River Delta and Yangtze River Delta, the population accumulation characteristic of the Beijing- Tianjin-Hebei region is relatively slow;(3) Both net inflow of population after spring festival and daily flow scale are significantly correlated with urban economic resilience, and the former will affect urban economic resilience;and (4) the spatial heterogeneity of each factor driving is significant, and they have different impact scales. The impact intensity is as follows: net population inflow > innovation ability > public financial expenditure > financial efficiency > urban size.

Assessing the Risk of Spreading COVID-19 in the Room Utilizing Low-Cost Monitoring System

High hygiene standards were established during the COVID-19 epidemic, and their adherence was closely monitored. They included the need to regularly wash one's hands and the requirement to cover person's upper airways or keep at least a two-meter space between individuals. The ITS (Information Technology Systems) community made a big contribution to this by developing methods and applications for the ongoing observation of people and the environment. Our major objective was to create a low-cost, straightforward system for tracking and assessing the danger of spreading COVID-19 in a space.The proposed system collects data from various low-cost environmental sensors such as temperature, humidity, CO2, the number of people, the dynamics of speech, and the cleanliness of the environment with a significant connection to elements of wearable electronics and then evaluate the level of contamination and possible risks and, in the event of a high level of risk, alerts the person to take actions that can reduce or eliminate favourable conditions for the spread of the virus. The system was created at the Laboratory of industrial control systems of the University of Žilina, Slovakia. The experiment demonstrates the ability and feasibility to control the number of people in a space depending on particular symptoms like fever, coughing, and hand hygiene. On the other hand, the laboratory's temperature, humidity, and air quality should be controlled to reduce the spread of illness.

Determinants of positive mental health during organizational change: role of continuous learning, mindfulness and change-efficacy

PurposeBy integrating job demands-resource (JD-R) theory and organizational change approach, the paper investigates determinants of positive mental health (PMH) of employees experiencing unpredictable organizational change (i.e. transition from physical work to remote work and other associated changes during the Covid-19 pandemic). The paper aims to examine the direct and indirect effects of continuous learning (CL) and mindfulness (MF) on PMH of employees via their perceived change-efficacy (CE).Design/methodology/approachTime-lagged primary data were collected from a cohort of information technology employees experiencing organizational change in the past one year. During the first stage, data was collected on variables, including CF, MF and CE, whereas response on PMH of employees was collected after one month. AMOS-24 has been used to assess the measurement model and perform the analysis.FindingsAt the outset, the study affirms that CL, MF and CE significantly contribute toward PMH of employees. The mediation analysis suggests that CE significantly mediates both relationships (i.e. CL-PMH and MF-PMH).Practical implicationsFirst, CL and MF are key to recovering from a crisis and enhancing PMH of employees. Second, employees' CE is an essential ingredient for organizations to successfully implement organizational changes while amplifying the PMH of employees.Originality/valueThe study is one of its kind which examines the antecedents of employees' mental health during organizational change while examining the mediating role of their CE. The findings contribute substantially to the literature of organizational change and JD-R theory by integrating and extending it to organizational change context.

Overcoming Chip Shortages: Low-Cost Open-Source Parametric 3-D Printable Solderless SOIC to DIP Breakout Adapters

The COVID-19 pandemic exposed the vulnerability of global supply chains of many products. One area that requires improved supply chain resilience and that is of particular importance to electronic designers is the shortage of basic dual in-line package (DIP) electronic components commonly used for prototyping. This anecdotal observation was investigated as a case study of using additive manufacturing to enforce contact between premade, off-the-shelf conductors to allow for electrical continuity between two arbitrary points by examining data relating to the stock quantity of electronic components, extracted from Digi-Key Electronics. This study applies this concept using an open hardware approach for the design, testing, and use of a simple, parametric, 3-D printable invention that allows for small outline integrated circuit (SOIC) components to be used in DIP package circuits (i.e., breadboards, protoboards, etc.). The additive manufacture breakout board (AMBB) design was developed using two different open-source modelers, OpenSCAD and FreeCAD, to provide reliable and consistent electrical contact between the component and the rest of the circuit and was demonstrated with reusable 8-SOIC to DIP breakout adapters. The three-part design was optimized for manufacturing with RepRap-class fused filament 3-D printers, making the AMBB a prime candidate for use in distributed manufacturing models. The AMBB offers increased flexibility during circuit prototyping by allowing arbitrary connections between the component and prototyping interface as well as superior organization through the ability to color-code different component types. The cost of the AMBB is CAD $0.066/unit, which is a 94% saving compared to conventional PCB-based breakout boards. Use of the AMBB device can provide electronics designers with an increased selection of components for through-hole use by more than a factor of seven. Future development of AMBB devices to allow for low-cost conversion between arbitrary package types provides a path towards more accessible and inclusive electronics design as well as faster prototyping and technical innovation.