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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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This article uses data from several publicly available databases to show that the distribution of intellectual property for frontier technologies, including those useful for sustainable development, is very highly skewed in favor of a handful of developed countries. The intellectual property rights (IPR) regime as it exists does not optimize the global flow of technology and know-how for the attainment of the sustainable development goals and is in need of updating. Some features of the Fourth Industrial Revolution imply that the current system of patents is even more in need of reform than before. COVID-19 vaccines and therapies and the vast inequality in access to these has highlighted the costs of inaction. We recommend several policy changes for the international IPR regime. Broadly, these fall into three categories: allowing greater flexibility for developing countries, reassessing the appropriateness of patents for technologies that may be considered public goods, and closing loopholes that allow for unreasonable intellectual property protections.
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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.
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The incomplete resource efficiency of oil and gas (O&G) companies in their imperfect corporate reporting is a relatively new topic gathering researchers' attention because of the increased importance of environmental concerns. The main aim of this article is to aid researchers in understanding the overall trends and shifts in exploring a novel sustainable development method for O&G companies and evaluating it using the example of Lukoil and Gazprom. The study uses a trend analysis method to examine the dynamics of Brent prices to recognise causal connections between the COVID-19 crisis of 2020 and the sanctions crisis of 2022 and their impact on O&G companies' sustainability. Subsequently, the article conducts a quantitative and qualitative study to combine qualitative information on pandemic models with quantitative dynamics of Brent prices and identify their relationship. This article develops a sustainable development method for O&G companies, the novel nature of which consists of digital intellectual monitoring of the sustainability of these companies in public policy practices on Industry 4.0. The article also suggests potential research directions for AI applications to automatically track intelligent data analytic capabilities. The significant findings of this study show that this approach allows for total market coverage and rational decision-making by state regulators and the attentive public. This new method offers a proprietary algorithm and recommendations for energy companies on improving corporate accounting and development of resources policy, assessed using the example of Lukoil and Gazprom.
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It is generally accepted that open and competitive markets are necessary to ensure economic growth and that the decision-making process of foreign investment involves 'an intricate structure of attitudes and opinion, social relationships both in and outside the firm, and the way such attitudes, opinions and social relationships are changing'. Therefore, the aim of the research is to explore the characteristics of Italian companies with increasing revenues during COVID-19 to explain if a higher level of innovation affects the survival/adaptability, as well as performance in terms of internationalisation. Based on a review of OECD data on business dynamism that highlights changes in economies and small and medium-sized enterprises (SMEs), the hypothesis is tested with a survey of a sample of 100 Italian SMEs. The results confirm that innovation investments helped maximise revenues in the pandemic period, thanks to foreign investments.
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PurposeThe purpose of this study is to investigate the impact of Corona Virus Disease 2019 (COVID-19) on the outcome of construction projects and explore the moderating effects of emerging technologies on the relationship between COVID-19 and construction project outcomes. Design/methodology/approachData for the study was collected through a Web-based, semistructured questionnaire. The responses of 62 construction practitioners were analyzed using a hierarchical linear regression model. The model consists of 16 independent variables, three control variables (organization size, organization type and project size), one moderator (adoption level of emerging technologies) and three dependent variables (project time, project cost and project quality). FindingsThe study confirms the negative significant impact of the COVID-19 pandemic on the performance of construction projects. It also identifies the significant moderating effects of emerging technologies in mitigating the impact of COVID-19 on construction projects. Further, it shows a significant increase in the application of emerging technologies in construction projects during the COVID-19 pandemic. Based on the findings related to the moderating impact of the technology, this study provides a clear set of recommendations for construction firms, public sector and research community in combating the unavoidable situation similar to the COVID-19 pandemic in the future. Originality/valueTo the best of the authors' knowledge, this is the first study to identify the moderating role of technology on the impact of COVID-19 on the performance of the construction sector in Pakistan. The findings can also be used for the construction sectors of other developing countries.
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The COVID-19 pandemic has caused major supply chain disruptions and unveiled the pressing need to improve supply chain resilience (SCRES). Industry 4.0 (I4.0) is a promising lever; however, its future in supply chain risk management (SCRM) is highly uncertain and largely unexplored. This paper aims to evaluate I4.0's potential to improve SCRES in a post-COVID-19 world. Based on current literature and multiple workshops, 13 future projections on potential I4.0 application areas in SCRM were developed. A two-round Delphi study among 64 SCRM experts with digital expertise was conducted to evaluate and discuss the projections regarding their probability of occurrence until 2030, their impact on SCRES, and their desirability. A fuzzy c-means algorithm was applied to cluster the projections based on the expert assessments. The expert evaluations led to three clusters on I4.0 application in SCRM: Four projections on generating data, increasing visibility, and building digital capabilities received considerable approval and are reliable to improve SCRES in 2030. Four projections enabling data sharing and processing were predominantly supported and demonstrated realization potential for 2030. Finally, five projections that require major supply network adaptations were deemed unlikely to improve SCRES in 2030. This paper answers several research calls by presenting empirical evidence on the pathway of I4.0 implementation in SCRM following the COVID-19 pandemic. Moreover, it evaluates a holistic set of technologies and indicates prioritization potentials to achieve SCRES improvements.
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Industry 4.0 is the central topic of numerous publications by foreign and Russian scientists, most of which are conceptual in nature. The current labor market requires the formation of new competencies and skills demanded in the digital economy. Digital reality dictates the need to develop new competencies—digital skills. Knowledge of computer technology, the use of software, and programming have become essential. For most organizations worldwide, the COVID-19 pandemic has accelerated the digitalization and adoption of digital ways of working. The development of new forms of employment (remote and combined) using digital technology will contribute to positive changes in the labor market. Based on these trends in the digital transformation of current society, the research aims to examine the digital skills of employees in the cooperative sector of the economy and their demand in the labor market in the context of Industry 4.0. The authors use descriptive statistical methods to process official data from the Federal State Statistics Service of the Russian Federation and the Higher School of Economics. The research indicates that the transformation of the labor market and forms of employment requires the development of new competencies demanded in Industry 4.0. In the digital economy, employment opportunities increasingly depend on a person's digital skills and competencies. This paper is one of the first comprehensive studies of the changing labor conditions, working environment, and the emergence of new competencies in Industry 4.0. This research contributes to the problem of studying digital skills as a component of human capital and can be the basis for further research in this subject area. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.