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PurposeThe purpose of this paper is to "identify”, "analyze” and "construct” a framework to quantify the relationships between several determinants of organizational preparedness for change in the start-ups during the COVID-19 emergencies.Design/methodology/approachTotal interpretive structural modelling (TISM) is used to find characteristics that assist in analyzing the readiness or preparedness level before initiating a change deployment process in start-ups. A cross-impact matrix multiplication applied to classification (MICMAC) analysis is performed to determine the driving and dependent elements of change in start-ups.FindingsFrom literature research and an expert interview, this study selected ten variables of change preparedness to explore inner interconnections and comprehend the inner connections factors. The findings depict that clarity of mission and goals, reward system, technological advancement and motivational readiness have been considered the most important readiness factor for deploying organizational change in start-ups during the COVID-19 emergencies.Practical implicationsThis research will aid the management and researchers gain a better understanding of the factors that influence change preparedness. Constant observation of current changes in the start-ups and the external environment will aid in improving the quality of products or services provided by the start-ups during the COVID-19. The start-ups can use these criteria linked to change readiness. The priority of each element is determined using MICMAC analysis and ranking using the TISM technique, which assists start-ups in ordering the enablers from highest to lowest priority.Originality/valueThere is no research regarding factors influencing organizational readiness for change in start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to organizational readiness for change in start-ups. This gap inspired the present study, which uses the "Total Interpretive Structural Modelling (TISM)” technique to uncover change determinants and investigate hierarchical interconnections among factors influencing organizational readiness to change in start-ups during the COVID-19 emergencies.
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[...]what could that look like? "In an ideal world, I'd like to see life sciences supply chains break down the linear and functional siloed approach that exists today to become a dynamically connected ecosystem that integrates the full supply chain network in a collaborative and optimized way," says Stephanie David, vice president, Pariveda. In addition to inherent flaws in the foundational setup of the supply chain and the need for fewer manual processes, there are functional shortcomings as well-particularly with regards to cold chain storage and distribution. [...]more importantly, I believe that the supply chain's robustness will depend on the appetite for innovation and the ability of life sciences supply chain leaders and the skills of their organization (people) to drive the acceleration and adoption of digital capabilities required to effect change across the end-to-end supply chain," says David. "Because the supply chain is the operational backbone of life sciences companies, it is important that supply chain leaders can connect and clearly articulate the value and business outcomes of these initiatives to the wider enterprise-sales, marketing, operations, finance, etc."
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PurposeThe purpose of this paper is to identify the radio frequency identification (RFID) strategic value attributes (RFIDSVAs) mechanism selections preferences and also integration of RFID tags with technology coordination tools (IRTWTCTs) alternatives ranking performance decisions in supply chain management (SCM). RFID-enabled techno-economic feasibility decisions are enhancing the SC visibility in apparel supply chains (ASCs). The RFIDSVAs mechanism selections have performed significant agility to strategic competitive advantages, namely, inventory visibility, multi-tags ownership transfer within trusted third party, etc.Design/methodology/approachFuzzy analytical hierarchy process (FAHP) and FAHP-fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) approaches have been used to evaluate the quantitative assessment of RFIDSVA mechanisms selection decision based on weight priority orders and IRTWTCTs alternatives selection in ASC networks. The comparison of FAHP and FAHP-FTOPSIS approaches to evaluate the integrated framework develop in RFIDSVAs mechanisms and IRTWTCTs alternatives selection decisions in Indian multi-tier ASC networks.FindingsThe result found that the FAHP-FTOPSIS approaches have used to prioritizing the RFIDSVA mechanism selection weights and also identify the IRTWTCTs alternatives ranking preferences order in apparel SCM. The comparison between the FAHP and FAHP-FTOPSIS approach to quantitative assessments from RFIDSVA mechanisms and IRTWTCTs alternatives selection decisions, which enable them SC agility potential across multi-tier visibility in ASC networks. ASC stakeholders can be benefited by techno-economic feasibility decisions, RFID-enabled shop floor activities, multi-tags ownerships transfer in SCs and knowledge-based cryptography tags/items separation in SCs.Research limitations/implicationsThe research work has considered only five RFIDSVA mechanisms and also three integration of RFIDTWTCTs alternatives in multi-tier ASC. The strategic competitive advantages are achieved by RFID-enabled break-even tags price decisions and also techno-economic feasibility decision by contractual design multi-tier SC stakeholder's involvements.Practical implicationsThe pilot project study explores that the quantitative assessment decision has based on RFID-enable techno-economic feasibility in ASCs. Stakeholders can be benefited by inventory control of the financial losses, reducing the inventory inaccuracies and multi-tags ownership transfer within trusted third-party traceability in ASC networks.Originality/valueThis study explores the RFID-enabled apparel SC process and activities visibility (natural fibre's fibre producer, fibre dyeing producer, yarn spinning producer, knitting and finishing producer).
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PurposeMost epidemic transmission forecasting methods can only provide deterministic outputs. This study aims to show that probabilistic forecasting, in contrast, is suitable for stochastic demand modeling and emergency medical resource planning under uncertainty.Design/methodology/approachTwo probabilistic forecasting methods, i.e. quantile regression convolutional neural network and kernel density estimation, are combined to provide the conditional quantiles and conditional densities of infected populations. The value of probabilistic forecasting in improving decision performances and controlling decision risks is investigated by an empirical study on the emergency medical resource planning for the COVID-19 pandemic.FindingsThe managerial implications obtained from the empirical results include (1) the optimization models using the conditional quantile or the point forecasting result obtain better results than those using the conditional density;(2) for sufficient resources, decision-makers' risk preferences can be incorporated to make tradeoffs between the possible surpluses and shortages of resources in the emergency medical resource planning at different quantile levels;and (3) for scarce resources, the differences in emergency medical resource planning at different quantile levels greatly decrease or disappear because of the existing of forecasting errors and supply quantity constraints.Originality/valueVery few studies concern probabilistic epidemic transmission forecasting methods, and this is the first attempt to incorporate deep learning methods into a two-phase framework for data-driven emergency medical resource planning under uncertainty. Moreover, the findings from the empirical results are valuable to select a suitable forecasting method and design an efficient emergency medical resource plan.
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During the COVID-19 pandemic, there has been considerable research on how regional and country-level forecasting can be used to anticipate required hospital resources. We add to and build on this work by focusing on ward-level forecasting and planning tools for hospital staff during the pandemic. We present an assessment, validation, and deployment of a working prototype forecasting tool used within a modified Traffic Control Bundling (TCB) protocol for resource planning during the pandemic. We compare statistical and machine learning forecasting methods and their accuracy at one of the largest hospitals (Vancouver General Hospital) in Canada against a medium-sized hospital (St. Paul's Hospital) in Vancouver, Canada through the first three waves of the COVID-19 pandemic in the province of British Columbia. Our results confirm that traditional statistical and machine learning (ML) forecasting methods can provide valuable ward-level forecasting to aid in decision-making for pandemic resource planning. Using point forecasts with upper 95% prediction intervals, such forecasting methods would have provided better accuracy in anticipating required beds on COVID-19 hospital units than ward-level capacity decisions made by hospital staff. We have integrated our methodology into a publicly available online tool that operationalizes ward-level forecasting to aid with capacity planning decisions. Importantly, hospital staff can use this tool to translate forecasts into better patient care, less burnout, and improved planning for all hospital resources during pandemics.
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The prime objective of this article is to examine the policy-making role of metal markets, gold resources, and clean energy markets in the post-COVID-19 era and the Russia-Ukrainian military conflict. In doing so, we analyze the role of fossil fuels, clean energy, and metals markets, considering the military conflict in Ukraine in 2022. The study employs event study methodology (ESM), Total connectedness index (TCI), and network analyses. The results indicate that natural gas and clean energy prices are less affected by conflict in the aftermath of an invasion than traditional energy and metals markets. In addition, we observe an increase in the TCI in the energy markets during announcement days. The TCI of the metals market is greater than that of the energy market. According to network connectivity, the key asset class transmitters of the shock in Europe are the Geopolitical index (GPR), gold, and the clean energy stock index (ERIX). The U.S. markets are less affected by the situation in Ukraine. The average hedge suggests that the optimal hedge differs from one market to the next, with fossil fuels and renewable energy, respectively, being more hedge effective and reducing risk by an average of around 0.80 and 0.59, given their ability to function as a hedging instrument.
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The application of Industry 4.0 (I4.0) in the field of logistics leads to the emergence and development of the concept of logistics 4.0. Many I4.0 technologies have been applied in the field of logistics. The goal of this research is to analyze the applicability of nine key I4.0 technologies in logistics centers (LC). For this purpose, an integrated MEREC (MEthod based on the Removal Effects of Criteria)—fuzzy MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) model was developed. The applicability of nine I4.0 technologies was evaluated based on 15 subcriteria within three main groups of criteria, namely, technological, social and political, and economic and operative. Using the MEREC method, the weight values of the criteria and subcriteria were determined, while the technologies were ranked using the fuzzy MARCOS method. Based on the results obtained by applying this integrated MCDM (multicriteria decision-making) model, CC was identified as the best alternative, i.e., the technology that is most applicable in logistics centers, followed by IoT and big data. An analysis of the sensitivity of the obtained results to the change in the importance of the criteria was carried out, which shows certain changes in the ranking when the importance of the most important criterion changes.
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Purpose: This research paper highlights the economic impact on small and medium-sized enterprises (SMEs) due to Coronavirus outbreaks. It proposes factors that influence the strengthening and survival of SMEs. Design/methodology/approach: In this research, resilience is reflected in the following aspects hope, problem resolution and persistence. This quantitative study analyses a purposive sample of 120 small and medium-sized firms in India. The study's primary data are the responses to questionnaires issued to respondents, analyzed and hypotheses formed and tested using the structural equation modeling (SEM) technique. Findings: The study results show that all the variables significantly reduce the impact of COVID-19 on SMEs. The presented model is expected to help researchers, business modelers, analysts and real professionals with further studies in the SME context. Originality/value: This new approach adds to the business resilience knowledge of SMEs and has practical implications for manufacturing organizations seeking to become robust during and after COVID-19. © 2023, Emerald Publishing Limited.
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Under the impact of COVID-19, the global economy exhibits obvious slowdown. In such situation, the issues on how to keep balance between supply and demand in SCM (Supply Chain Management) operation have been more apparent than before. For SCM rebuilding, S&OP received extensive attention worldwide. However, there are few examples of successful implementation of S&OP in Japan because Japanese have not been growing accustomed to the phrase S&OP, although the challenges in SCM operations and PSI (Product, Sales, Inventory) management are recognized. Thus, no clear and exact solution is found to guide the operation. In order to further improve the current management level, a new design proposal of data model is rendered to advance the current PSI management that introduces the concepts of S&OP. Especially, we will address the motivation why we need use multidimensional database architecture to design the S&OP process instead of using RDB (Relational Database) which is often used in ERP (Enterprise Resource Planning). © 2022 IEEE.
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Digitalization in the crisis has contributed to increasing the level of resilience of business entities to economic downturns and bankruptcy risks. The article aims to empirically study the use of digital tools and crisis management methods in business entities. The research methodology is based on a case study of companies in various sectors of the economy on the integration of technological solutions during the pandemic in 2020. Statistical analysis was used to study the state of information technology financing during the crisis. Results. During the pandemic, since the beginning of 2020, the global level of funding for information technology (IT) by companies of different sizes has been growing. Depending on the size of the business entity, investments in technological solutions and equipment differ in volume: small firms invest more in hardware projects, and large firms - in commercial services. The critical digital tools for crisis management in companies are Big Data / Analytics (64%), Cloud Technology (50%), and Artificial Intelligence / Machine Learning (44%). Analysis of the volume of different segments of the Enterprise application software market in 2020 shows companies' use of different types of enterprise software for different purposes and management functions. The analysis of companies' cases in using digital technologies during the crisis shows a high return on digitalization in a short time (0.34 years). Business entities are focused on integrating technologies to solve problems related to improving relations with suppliers, and customers, optimizing business processes, personnel management, and increasing operational efficiency. Integration of digital tools into various subsystems of company management (suppliers, customers, staff, shareholders) provides instant qualitative and quantitative effects.
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The COVID-19 illness primarily carried by a Corona viral, commonly known as SARS-CoV-2. The rapid pace of such a drug's growth over six of the seven planets, except South, was already reported. Ever since it appeared, it has caused serious damage for many sectors and didn't harm the luxury goods sector. A major gate as in transition is opened by the epidemic. The COVID-19's effects on the Indian economy are negative. A old company concept needs to evolve to meet the demands of present.Through a clever absorption of internet media, method, & aptitude in any point & activity, the change as in setting of online is witnessed in all areas, i.e., in society, organisation, or in the exactness like an organisation, only in companies, or in the environment. Technology is used in conjunction with industry 4.0 (also known as DX or DT) to generate value for key parties (users in the totality), and to develop and gain the capacity for quickly adapting to situations which are altering.Any item or service may now be marketed but also advertised to customers online thanks to change carried out in a data - driven method, which has done away with the need for external middlemen. A large number of firms are impacted by COVID-19 since it has an impact to the entire globe and causes social estrangement with customers. In light of social distance, a wide range of sectors and businesses will be impacted. In this research, the idea of digitisation is proposed as a projected way through. Social distance may alter the characteristics or the purchasing habits. This study is being done to determine how it COVID-19 problem will affect consumer purchasing habits. By using internet tactics and strategies, consumers are shifting the way that merchandise and services are traditionally purchased. As per research, the digital advertising framework has permeated our imagination for acquiring the ways that are best for selling from several top-performing businesses.Only thing changing in regard of consumer purchase intention following COVID-19 recuperation would be the sales for items, which will mostly stay same with. Consumers will develop the buying habit so as protection, physically or straight from creators. © 2023 IEEE.
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Small Medium and Micro Enterprises (SMMEs) are significant contributors to economic growth and employment and therefore playing a vital role in wealth creation and human welfare. Yet despite their critical importance, SMMEs are yet to realize their full potential due to numerous challenges presented by the nature of operations in a global market, including the emergent hyper digital contexts as presented by COVID-19. Mobile Cloud Based Enterprise Resource Planning (MCB-ERP) systems present opportunities such as on-demand use, low upfront capital expenditure, security and stability, easy upgrade, and low operational and maintenance costs for SMMEs operating in these global markets. This paper reports on a systematic review of 35 peer reviewed journals and conference papers to identify MCB-ERP research that has been undertaken and to identify opportunities, gaps, and challenges in relation to SMMEs. The key findings suggest that researchers have mainly focused on Cloud-Based ERP adoption and implementation factors;the use, benefits, and impact for SMMEs received limited attention;and that SMME readiness for adoption is impacted by a lack of MCB-ERP vendor presence, awareness, and experience. Moreover, most of the research is not contextualized and treats SMMEs as homogenous entities operating in sectors with similar environments and preconditions. Future context specific research investigating MCB-ERPs in specific contexts, and non-ICT based sectors such as agriculture for SMMEs is recommended. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Since the outbreak of the novel coronavirus at the end of 19, the competition among SMEs has become increasingly fierce. Based on their traditional management model and low level of informatization, SMEs have poor ability to cope with the impact of the epidemic and cannot quickly meet the new needs of target customers and new market opportunities. In the context of the impact of the epidemic situation, small and medium-sized enterprises need to optimize the inventory management system by introducing computer technology, use big data analysis technology to adapt to market demand, reduce the problem of enterprise inventory backlog, improve the efficiency of enterprise resource allocation, and maximize the avoidance of resource mismatch. This paper uses Java EE programming technology and the Spring Boot framework to design an enterprise inventory management system, which can comprehensively and directly display the enterprise inventory management situation, achieve data recording, storage, and modification. At the same time, it uses enterprise inventory management data to achieve the portrait analysis of target users, improve the efficiency of enterprise inventory management, optimize the enterprise management system, and quickly meet the new needs of customers. © 2022 Association for Computing Machinery.
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Initially, many companies implemented Enterprise Resource Planning (ERP) to process business transactions. However, because of COVID-19 and competitive pressure, companies expect ERP to play a higher role in increasing business process outcomes and agility. This study investigates the effects of ERP usage on business process outcomes and organizational agility in one of the largest telecommunication companies in Indonesia as the company struggles to redefine its huge ERP investment. The research deployed a purposive sampling technique involving 170 employees in one of the largest telecommunication companies in Indonesia who use an ERP system. Quantitative data was collected through online surveys using a 5-point Likert scale questionnaire. Interviews and observations were also conducted as a complement to the quantitative data. The findings of our study suggested that there are significant positive effects of ERP usage on organizational agility and business process outcomes. Furthermore, business process outcomes positively impacts organizational agility. © 2022 IEEE.
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PurposeMany organizations failed to generate profits after investing considerable money and time in Enterprise Resource Planning (ERP) systems. This study, therefore, sought to identify the challenges encountered by pharmaceutical firms during the post-implementation of ERP systems.Design/methodology/approachA case-based study followed by general survey-based research was carried out in pharmaceutical firms to determine the critical post-implementation challenges of ERP systems. DANP (DEMATEL-based ANP) and Wilcoxon Signed Rank test were used to find the causal/critical challenges and rank them.FindingsAfter analyzing a pharmaceutical case company and conducting a general survey among pharmaceutical companies, statistical analysis was performed to identify the most significant challenges, namely, "Inefficient troubleshooting mechanism”, "Lack of training during post-implementation stage” and "Difficulty in identifying invalid data when entered into the ERP system”. Furthermore, organization-wide challenges are considered to be the most important.Practical implicationsThe paper identifies the challenges faced during the post-implementation phase of ERP systems. This work brings out the issues with ERP systems' performance after their implementation, which is related to the quality of the ERP systems. This work will support the risk identification and mitigation during ERP implementation to eradicate the problems after its implementation. This work may trigger the ERP system developers to improve its features and performance for better manufacturing and supply chain management system in pharmaceutical firms.Originality/valueThis study is uniquely conducted in pharmaceutical firms to study the benefits and challenges of adopted ERP systems. A pilot case study served as the foundation for the generalizability of other pharmaceutical firms' findings through a non-parametric test.
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The purpose of this paper was to examine the cultural barriers that existed at various stages of the Enterprise Resource Planning (ERP) implementation process, using the Middle-Eastern oil and gas sector as a case study. Due to a variety of cultural implications, ERP implementation rates in the oil and gas sector in Middle-Eastern developing countries are extremely low. Although the literature highlighted numerous ERP implementation theories that attempted to overcome the cultural complexities of ERP systems, there are few studies that have framed these complexities using action research theory in order to provide potential solutions to these challenges, particularly in Middle-Eastern developing countries where cultural settings are distinct from those in Western developed countries. Action research AR, in conjunction with documentation, observations, and interviews, aided in the exploration of the culturally complex barriers encountered during the pre-implementation (plan and propose), implementation (do), and post-implementation (assess and improve) stages of ERP projects conducted within a Middle-Eastern oil and gas organisation. This article confirms numerous cultural implications at each stage of the ERP implementation process, including team conflict, managerial authority, and a lack of an IT culture, all of which contributed to the project's delay. Other impediments, such as a lack of commitment to training and technophobia, persisted throughout the post-implementation phase and the subsequent follow-up experience under the recent COVID-19 pandemic. This article contributes to theory and practise by highlighting the culturally complex barriers that underpin many ERP implementations in the Middle Eastern oil and gas sector. This information can assist practitioners and researchers in developing future research and ideas to mitigate future ERP implementation challenges in this region.
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The article discusses and analyses the importance of the Enterprise Resource Planning (ERP) principles in the University environment. It is crucial to properly evaluate and assess the effectiveness of the university's administrative and academic staff performances as an organizational form. In the last couple of years, besides the negative impact, COVID-19 positively impacted the technological development at the HEIs. So, the ERP system remains a powerful program that allows businesses to systematize all important processes. Drastically, doing so reduces costs and the possibility of making mistakes, thereby increasing efficiency and profitability. The ERP system comprises the main sections of an organization, such as financial, human resources, production, logistics, etc., but to the present does not cover the whole university's administrative and learning activities. Thus, most HEIs effectively implement technologies and E-Systems but, in most cases, are fragmented and do not cover whole university activities. The purpose of the article is to create one united platform based on an ERP system, whereby we will get the new model of the University Recourse Planning (URP) system and will be implemented and facilitate the: unified digital database, improvement of university efficiency, less bureaucracy, delayed decisions and the and quality improvement. As a result, all the data will be shown as a "Dashboard" to the top management of HEI, which will perceive information about the weaknesses and gaps for achieving specific objectives. © 2022 IAMUC. All Rights Reserved.
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COVID-19 accelerated the drive towards distance learning, typically supported by web-based eLearning resources. There are also studies reviewing the transition to such as teaching style, whether in conjunction with traditional classroom teaching or as a supplement. This paper will focus on ERP-based teaching within a larger program to establish tertiary distance education in eGovernment in Germany ("eGov Campus"). It attempts to structure the topic and to advance some hypotheses that will be empirically tested against real-world data and experience from introducing this style of teaching in the eGov Campus. © 2022 ACM.
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It is the intent of the work to support experts in the organization process of Covid-19 vaccination hubs. An approach based on Modelling & Simulation (M&S) is proposed and in particular, a simulation model of a real vaccination hub, located in South of Italy, has been developed. The simulation model recreates, with satisfactory accuracy, the evolution over the time of the real system and it has been used to analyze the system behavior under several operative scenarios. The generation of the alternative operative scenarios comes from the variation of multiple design parameters that affect multiple performance measures. The quantitative evaluation of the effects of the multiple design parameters on the multiple performance measures can be used as starting point to improve processes as well as to plan effectively available resources within vaccination hubs. 2724-0371 © 2022 The Authors.
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The digital transformation of healthcare companies in times of Covid-19 was a relevant factor in sustaining the great demand for healthcare services, allowing the establishment of new communication channels, forms of payment, information processing, and online medical consultation services, among other services. This transformation implies substantial changes in people’s culture and businesses, through a systematic, strategic and cultural change process, supported by the application of cutting-edge technologies that allow the systematization of processes and adequate data analysis. This research shows the digital transformation of the Médikal Center, which integrated technological changes within its processes such as migration to a cloud computing scheme allowing optimization of investment costs in IT infrastructure;migration to a more stable ERP;replacement of manual clinical laboratory processes by automated processes;generation of dynamic reports using data analytics thus improving decision-making at the managerial level;and establishment of new contact channels with the user such as the chatbot and mobile applications that allowed greater attention to customer demand. In short, this digital transformation process has allowed improving the quality of service, customer satisfaction, and supporting the decision-making of the company’s executives, but in order to achieve this purpose, it was necessary to use methodologies supported by the best practices in the management of planning and implementation of IT projects. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.