An integrative framework for building organizational resilience through environmental scanning: a view of organizational information processing theory: MRN

PurposeThis study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic.Design/methodology/approachThis study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses.FindingsEnvironmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience.Research limitations/implicationsThe sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken.Practical implicationsManagers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience.Originality/valueThis study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.

Global Governance in the New Era: Concepts and Approaches

This book mainly introduces the concepts and approaches of global governance from the viewpoints of Chinese and Russian scholars and is divided into four parts. The first one deals with the concept of a new type of global governance, namely "Globalization 2.0". The second one is dedicated to institutions and multilateralism, including the importance and effectiveness of international institutions. The third part focuses on the important countries and regions in the new era, as well as such issues as the current global status quo, processes in Eurasia, the prospects of the U.S.-China-Russia trilateral relationship. The last part analyzes the future development of global governance and possible solutions of how it might be improved. Climate change, digital era, cyber security, financial and economic regimes, COVID-19 are all involved in this part. In short, this book is a profound and cutting-edge research on global governance. © China Social Sciences Press 2023.

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

With the advent of the fourth industrial revolution, data-driven decision making has also become an integral part of decision making. At the same time, deep learning is one of the core technologies of the fourth industrial revolution that have become vital in decision making. However, in the era of epidemics and big data, the volume of data has increased dramatically while the sources have become progressively more complex, making data distribution highly susceptible to change. These situations can easily lead to concept drift, which directly affects the effectiveness of prediction models. How to cope with such complex situations and make timely and accurate decisions from multiple perspectives is a challenging research issue. To address this challenge, we summarize concept drift adaptation methods under the deep learning framework, which is beneficial to help decision makers make better decisions and analyze the causes of concept drift. First, we provide an overall introduction to concept drift, including the definition, causes, types, and process of concept drift adaptation methods under the deep learning framework. Second, we summarize concept drift adaptation methods in terms of discriminative learning, generative learning, hybrid learning, and others. For each aspect, we elaborate on the update modes, detection modes, and adaptation drift types of concept drift adaptation methods. In addition, we briefly describe the characteristics and application fields of deep learning algorithms using concept drift adaptation methods. Finally, we summarize common datasets and evaluation metrics and present future directions.

Agricultural Social Networks: An Agricultural Value Chain-Based Digitalization Framework for an Inclusive Digital Economy

Sustainable agriculture is the backbone of food security systems and a driver of human well-being in global economic development (Sustainable Development Goal SDG 3). With the increase in world population and the effects of climate change due to the industrialization of economies, food security systems are under pressure to sustain communities. This situation calls for the implementation of innovative solutions to increase and sustain efficacy from farm to table. Agricultural social networks (ASNs) are central in agriculture value chain (AVC) management and sustainability and consist of a complex network inclusive of interdependent actors such as farmers, distributors, processors, and retailers. Hence, social network structures (SNSs) and practices are a means to contextualize user scenarios in agricultural value chain digitalization and digital solutions development. Therefore, this research aimed to unearth the roles of agricultural social networks in AVC digitalization, enabling an inclusive digital economy. We conducted automated literature content analysis followed by the application of case studies to develop a conceptual framework for the digitalization of the AVC toward an inclusive digital economy. Furthermore, we propose a transdisciplinary framework that guides the digitalization systematization of the AVC, while articulating resilience principles that aim to attain sustainability. The outcomes of this study offer software developers, agricultural stakeholders, and policymakers a platform to gain an understanding of technological infrastructure capabilities toward sustaining communities through digitalized AVCs.

Influence of Transformational Leadership on Organizational Citizenship Behavior and Organizational Task Performance Cross Level Analysis on Micro Small and Medium Enterprises in Indonesia: Acces la Success

In industry 4.0, individual behavior in organization is still very much considered as the main determinant of organizational performance. Organizational citizenship behavior (OCB) is one of the unique behavior of individuals affecting the effectivity of the organization. This study focuses on organizational citizenship behavior (OCB) based on the aspects of antecedents and their consequences. This study aims at examining (1) the indirect influence of transformational leadership on individual performance through organizational citizenship behavior motivation (OCBM) and OCB, (2) the direct influence of OCB on individual performance and organizational performance, (3) the direct influence of OCB for individual performance and organizational performance. This study was conducted to 66 heads of small business and 410 employee at small business in West Sumatera and analyzed using cross level methods and hypothesis testing using hierarchical linear modeling (HLM). This study found that 1). OCBM and OCB simultaneously mediate the relation between transformational leadership with individual performance and also have role in elevating the individual performance, 2) individual performance is the mediator between OCBM with organizational performance and it contributes in elevating the organizational performance. The theoretical and practical implications of this study are the tranformational leadership (TL) is able to motivate the members to carry out OCB actively in organizations. Some limitations and future research directions are discussed.

New Industrial Development Path Based on IT Service Business in the Case of the Philippines

The Philippine IT-business process management industry is in transition. Today, as the global outsourcing industry finds itself at the center of a more digitally integrated world in response to the disruption caused by COVID-19, it is also pushing the Philippines to shift to high-skilled, knowledge-based services in order to stay ahead of the competition. The chapter focuses on the rising contribution of manufacturing services to the country's services export growth. The present study examines this trend from policymakers' and other stakeholders' perspectives and asks: What will it take for the domestic industry to climb up the value chain? More strategically, will this emerging trend help pave the way for the country to build its own manufacturing base and thus effect structural transformation? The study has two preliminary findings. First, increase in IT-BPM investments in the post-pandemic transition coincide with a growing interest in manufacturing services, including engineering design and data analytics. Second, the country seeks to leverage its leading global industry position and large high-skilled pool in order to stay ahead of other rising destinations. Nevertheless, for the Philippines to transition to complex and technology-intensive services it will need to gear up human resources and digital infrastructure, and ensure a robust university-industry interface—two prerequisites for the country's own push toward industrial development. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

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.

Convalescent plasma transfusion in severe or critically ill COVID 19 patients: a rapid systematic review

Currently, there is no availability of any proven specific treatment or prevention strategy to fight against COVID-19. Convalescent plasma (CP) therapy is expected to increase survival rates in COVID-19 as in the case of emerging viral infection (SARS-CoV and MERS-CoV). To collect all the studies relevant to CP therapy in critically ill or severe COVID-19 patients and summarize the findings. The systematic review was conducted according to the PRISMA consensus statement. A systematic search was performed in PubMed, Scopus, Web of Science, and Cochrane databases on April 25, 2020. A total of six studies (28 patients) relevant to CP therapy in severe or critical COVID-19 are considered for inclusion. Two authors extracted the data about study characteristics, demographics, symptoms, co-morbidities, clinical classification of COVID-19, drug therapies, oxygen therapy, laboratory results, chest CT, neutralizing antibody titer, SARS-CoV-2 RNA load, aal outcome. The review findings revealed that CP therapy increases lymphocyte count, reduced s serum inflammatory markers (CRP, IL-6, Procalcitonin) and liver enzyme levels (AST or ALT). There was a rise in serum neutralizing antibody titers in 10 of 14 patients after CP transfusion. In 4 of 14 patients, the titer levels remain unchanged after CP transfusion. All 28 cases (100%) achieved negative to the SARS-CoV-2 RNA after CP transfusion. The convalescent plasma transfusion can improve neutralizing antibody titers and reduces the viral load in severe/critical COVID-19 patients. The review recommends a well-controlled trial design is required to give a definite statement on the safety and efficacy of convalescent plasma therapy in severe/critical COVID-19.

Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies

Digital transformation, which significantly impacts our personal, social, and economic spheres of life, is regarded by many as the most significant development of recent decades. In an industrial context, based on a systematic literature review of 262 papers selected from the ProQuest database, using the methodology of David and Han, this paper discusses Industry 4.0 technologies as the key drivers and/or enablers of digital transformation for business practices, models, processes, and routines in the current digital age. After carrying out a systematic literature review considering key Industry 4.0 technologies, we discuss the individual and collective ways in which competitiveness in contemporary organizations and institutions is enhanced. Specifically, we discuss how these technologies contribute as antecedents, drivers, and enablers of environmental and social sustainability, corporate growth and diversification, reshoring, mass customization, B2B cooperation, supply chain integration, Lean Six Sigma, quality of governance, innovations, and knowledge related to dealing with challenges arising from global pandemics such as COVID-19. A few challenges related to the effective adoption and implementation of Industry 4.0 are also highlighted, along with some suggestions to overcome them.

The Use of Metaverse in the Healthcare Sector: Analysis and Applications

With the use of blockchain, Internet of Things, virtual platform/telecommunications network, artificial intelligence and the fourth industrial revolution, the essential demand for digital transition within the health care settings has increased as an outcome of the 2019 coronavirus illness outbreak and the fourth industrial revolution. The evolution of virtual environments with three-dimensional (3D) spaces and avatars, known as metaverse, has slowly gained acceptance in the field of health care. These environments may be especially useful for patient-facing platforms (such as platforms for telemedicine), functional uses (such as meeting management), digital education (such as modeled medical and surgical learning), treatments and diagnoses. This chapter offers the most recent state-of-the-art metaverse services and applications and a growing problem when it comes to using it in the healthcare sector. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Digitalization Moves Forward in Pharma Equipment and Processes

Digital technologies that could meet these new challenges and aid manufacturing scale-up and speed to market, such as automated digital data collection and augmented and virtual reality (AR/VR) remote collaboration tools, were already available and had been adopted by some, but the new demand spurred greater adoption. "There is a cultural aspect to digitalization because it's a significant investment that results in changes to the operational structure of a facility;it is beneficial when the digitalization comes from the top," explains Yvonne Duckworth, automation engineer and Industry 4.0 subject matter expert at the CRB Group, a life sciences engineering and construction company. Machine sensors and process analytical technology (PAT) instruments can communicate directly with data collection systems using the NoT. Efficient development and tech transfer for mRNA vaccine manufacturing The data analysis and clear communication allowed by digital tools has demonstrated its benefits for process development and technical transfer, making time to market faster.

COVID-19's Impulse to Intensify Neo-industrial Digital Technologies 4.0 in the Legal Regulation of Foreign Economic Activity of Economic Entities of the EAEU and the BRICS Member States

The chapter contains a study of the impact of the new coronavirus pandemic 2019–2020 on the business activity of economic entities of the EAEU and BRICS jurisdictions in the implementation of foreign trade activities. The authors note the need and highlight the opportunities for wider and more intensive use of digital technologies of Industry 4.0 in the legal regulation of export–import transactions between the parties-residents of the member states of integration associations with the participation of the Russian Federation. The authors substantiate that in modern realities, infectious epidemiological risks are considered not as a force majeure circumstance but as restrictions on the collective work of employees of companies, including foreign trade commercial organizations. The authors argue that this pandemic set of legal procedures for the wider and more intensive use of digital technologies in Industry 4.0 should be enshrined in the provisions of the international convention, which countries participating in integration associations will be able to join, thereby ensuring the entry into force of the relevant regulatory provisions in their jurisdictions. The authors propose several legal procedures for wider and more intensive use of digital technologies of Industry 4.0 in the implementation of foreign economic transactions, which launched and implemented after the announcement of the next pandemic by the World Health Organization. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Applied Education Futures and the Shape of Things to Come

Skills development across industry and professional sectors is identified as one of the essential drivers of recovery and growth to address the fragility and volatility of post-COVID economies. The window of opportunity for the applied degree sector, to rethink, reset, and ride the skilling and reform agenda to help accelerate economic recovery, business transformation, enhance digital skilling and competences to enable sustainable transformation is in play. This chapter highlights the emergent smart education approaches, intelligent technologies, and opportunities that may be considered critical and transformational in future-shaping a more sustainable, value-added, applied degree sector. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

The Geomagnetic Regional Model in Indonesia for Epoch 2020.0

: The geomagnetic field at the earth's surface changes over time, including in Indonesia. An accurate regional geomagnetic model is needed. Indonesia conducted just 49 repeat station measurements (out of 68) in epoch 2020.0 due to the COVID-19 pandemic. The regional geomagnetic field was modeled using the collocated cokriging (CC) method, which is proven to be accurate. The results show high accuracy with 1.18 minutes root mean square error (RMSE) for the declination component (D), 11.1 minutes for the inclination component (I), and 36.6 nT for the total intensity component (F). This RMSE indicates a similar result to epoch 2015.0. It is apparent that the problem of fewer data for epoch 2020.0 has been solved using the CC method. The crustal geomagnetic fields are also modeled by combining repeat station data and an enhanced magnetic model (EMM). The crustal field model illustrates that 94% of repeat stations exist in the low values, contributing to global geomagnetic modeling in the future. The low crustal field values have also correlated with great earthquake epicenters (magnitude ≥6). The earthquakes occurred in the crustal field values under 120 nT from 2010 to 2020. © 2023, Pleiades Publishing, Ltd.

Exploring the Dynamic Landscape of Performance Management: A Bibliometric Analysis of Emerging Trends

Performance management, as a systematic and continuous process of planning, measuring and improving performance, is an important endeavor for any organization, regardless of being private or public. To understand the current state of research on performance management, a comprehensive bibliometric study was conducted. This paper aims to provide a co-occurrence analysis to identify and explore clusters, prevailing and emerging themes, and future research directions. For this purpose data was collected from the WoS database and processed with VOSviewer and Microsoft Excel. The paper contains visual representations of clusters, keywords and their relationships, as well as an analysis of the novelty of the concepts. Based on the average published year (APY), the hottest keywords identified are Covid-19 (APY: 2021), followed by Industry 4.0 (APY: 2020.17), together with other 4IR tools (big data analytics, big data, machine learning, artificial intelligence, cloud, Iot, etc.). Resulting from the analysis of concepts with APY after 2017, in terms of their representativeness (occurrence), links, and total link strengths (TLS) with other items from the map, three concepts significantly emerged: framework (Cluster 1);public sector (Cluster 3);sustainability (Cluster 4). Based on the overall findings, new research directions were proposed.

The Purposes and Justifications for Preferences of Web 2.0 Tools Used by Pre-Service Chemistry Teachers in Their Teaching Practices in Distance Education Environment

Due to the COVID-19 pandemic, mandatory changes were required in the field of education, as in many other fields. One of these fields is a teacher training programme, which includes teaching practice. It has become of great importance that pre-service science teachers, who frequently include experiments in their teaching practices in face-to-face education, will carry out this process in online education. This process, experienced due to the COVID-19 pandemic, prompted pre-service science teachers to find something that could replace the wet labs. One of the solutions in this situation is for them to choose and use appropriate Web 2.0 tools in their online lab teaching practices. Therefore, the purpose of the study was to examine the Web 2.0 tools used by pre-service chemistry teachers in their online teaching practices in a distance education environment, the purposes of using these tools, and their justifications for preferences to use these tools. This study was conducted with 15 pre-service chemistry teachers. Data were collected via observations, a form filled out by the participants, and semi-structured interviews in this study. According to the results of this study, it was determined that the participants used 17 Web 2.0 tools during their online teaching practices. The findings highlighted that the most used Web 2.0 tools were Perculus+ chat, Google docs, and Quizizz. Moreover, it was determined that the participants used these tools for 21 different purposes such as drawing students' attention, getting hypotheses, and designing experiments. The results also indicated that the participants emphasised the ease of the Web 2.0 tool as a justification for the preference for almost all of the Web 2.0 tools they use, regardless of their purposes for using these tools. It is thought that the results can be used to show how to make online or face-to-face teaching practices in teacher training programmes by using Web 2.0 tools more effective in the future.

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.

Service-Dominant Logic and Service Management 4.0

Contemporary service environments characterized by advanced technologies augmenting customer-frontline interactions present significant changes in the working environment of service managers. The COVID-19 pandemic further transformed the way of doing business in the service industry. This chapter explicates how complex contemporary service environments can be better understood, when applying service-dominant (S-D) logic informed strategies and methodologies that promote value cocreation processes and the engagement of broad sets of actors. It points toward—what we coin Service Management 4.0—a possible future for service management that embraces human-centered technologies, smart (cyber-physical) service ecosystems, inclusive and nature-positive service. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.

Trabalho docente na educação básica no Brasil sob indústria 4.0

O objetivo do artigo é analisar o trabalho docente na Educação Básica no Brasil, especialmente a partir de 2020, quando se instaura a Pandemia Covid-19, em meio à difusão do teletrabalho no bojo da Indústria 4.0, sob o aprofundamento do Neoliberalismo e da Nova Gestão Pública (NGP). A metodologia foi baseada em estudos bibliográficos, documentais e relatórios de pesquisas, bem como análise de dados do Instituto Brasileiro de Geografia e Estatística (IBGE) e Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP), em períodos selecionados. Os resultados indicam a difusão do teletrabalho sob o neoliberalismo e a NGP, implicando no aprofundamento da já precarizada carreira do profissional docente sob a pandemia.Alternate :The objective of the article is to analyze the teaching work in Basic Education in Brazil, especially from 2020, when the Covid-19 pandemic was declared, boosting the diffusion of telework in the context of Industry 4.0, the deepening of neoliberalism and the New Public Management (NGP). The methodology was based on bibliographic, documentary and research reports, as well as data analysis from the Brazilian Institute of Geography and Statistics (IBGE) and National Institute of Educational Studies and Research Anísio Teixeira (INEP), in selected periods. The results indicate the spread of telework under neoliberalism and NGP, implying the deepening of the already precarious career of professional teaching under the pandemic.

Antecedents of digital supply chains for a circular economy: a sustainability perspective

PurposeA digital supply chain (DSC) positively enhances circular economy (CE) practices. However, what factors and conditions lead to the implementation of DSC for transitioning toward CE is not yet clear. Therefore, this study aims at identifying and subsequently analyzing the antecedents of DSC for CE.Design/methodology/approachThe study identifies major antecedents of DSC for CE to achieve sustainability objectives through literature review and expert opinions. In this study, 19 potential antecedents of DSCs for CE are established from the literature and suggestions from industry professionals. A trapezoidal fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is applied quantitatively to investigate the antecedents identified.FindingsConducted in the context of Indian automobile manufacturing industry, the findings of the study reflect that advanced information sharing arrangement, effective government policies for DSC and CE implementation and digitalizing the supply chains are the top three potential antecedents of DSC for a CE.Originality/valueIn the existing literature, few studies are specific to investigating the DSC and CE paradigm. The present study will help organizations develop a practical and integrated strategic approach that will foster DSC through improved knowledge of CE.