Shift In Industry Research Articles

Efficiency, sustainability, and resilience a trifecta for a green economic recovery through natural resource markets

This study examines how the current COVID-19 epidemic has impacted Chinese enterprises and how the adjustments to China's sustainable development goals (SDGs) and economic growth objectives have influenced preservation and reduced efforts. Meanwhile, the widespread dissemination of COVID-19 has made the previous approaches useless. The fast global spread of the COVID-19 pandemic has rendered conventional treatments ineffective. With the fast spread of the COVID-19 pandemic, it is more crucial than ever to implement a long-term development plan that does not negatively impact local and regional ecosystems. In the aftermath of the COVID-19 pandemic, the primary purpose of this study is to offer a TNRR map for integrating sustainable energy technologies into existing SDG-related projects. The impact that significant shifts in the energy industry have had on the quest for sustainability is the starting point of this paper's examination. Between 2010 and 2019, energy consumption complexity decreased by 3.33 percentage points and emissions by 4.23 percentage points due to long-term development plans' CO2 emissions reduction targets to save money and reduce pollution. The outcomes and short- and long-term apps The Sustainable Development Goals interface's TNRR suggests they would boost green economic recovery efficiency. In this research, crucial natural resource and green economic recovery strategies are advocated to decrease COVID-19-related global warming.

Competing for Jobs: How COVID-19 Changes Search Behaviour in the Labour Market

Abstract We provide insights on how job search changed in the Covid-19-crisis by analysing data from the LinkedIn professional network for Germany. We find that competition among workers for jobs strongly increased – which is due to additional job seekers rather than higher search intensity. Furthermore, the LinkedIn data show that people from industries particularly affected by the crisis applied much more frequently and there had been a substantial shift in the target industries for applications. Finally, we find that at the onset of the Covid-19-crises applications were made significantly more often below and significantly less often above a person’s level of seniority.

From After School Specials to After School Threesomes: Industrial Shifts in the Depiction of Sex on Teen TV and its Formation of the Sex Positive Teen Girl

A rash of teen TV shows that deal with stories and depictions of sex explicitly and graphically prove a marked change from the overtly pedagogical approach teen television shows of the past took to tackling controversial issues. Utilizing industry interviews to understand this shift, I argue that series include progressive rhetoric, specifically sex positive rhetoric lifted from the popular feminist movement, in their stories of teen sexuality in order to mitigate controversies that inevitably crop up in public discourse whenever teen sexuality is represented. In so doing, such series shape the potential and parameters of teen girl sexuality. This framing provides for a more capacious spectrum of sexuality for girls, namely in more nuanced and more frequent depictions of queer sexuality and sexually agentive girls. Yet it also highlights the dangers their sexuality poses living in a patriarchal world, subsequently upholding framings of caution and boundaries around girlhood sexuality.

Hydrogen transport options for a large industrial user: Analysis on costs, efficiency, and GHG emissions in steel mills

The planned steel industry shift from fossil-based production to low carbon alternatives will require millions of tons of hydrogen. Hydrogen delivery to large users calls for building of new infrastructures. This study analyses five different hydrogen delivery pathways including mill-site electrolysis, pipeline transport of hydrogen in new and repurposed pipelines, pipeline transport of synthetic methane, and shipping of various products. Costs, energy efficiency, and greenhouse gas (GHG) emissions are evaluated using a steel mill consuming 144 kt of hydrogen as an example. The results suggest that mill-site electrolysis and both the hydrogen pipeline transport alternative seemed to be the best performers among the studied cases. Pipeline transport of synthetic methane and shipping have around 130 % and 40 % higher costs in comparison to mill-site hydrogen production and pipeline transport of hydrogen. Their energy efficiencies were the least appealing. Greenhouse gas emissions of the studied cases varies between 7.7 and 13.7 kgCO2-eq/kgH2. The synthetic methane could provide a significant carbon sink, if only renewables are utilized in hydrogen production, but due to high cost and poor energy efficiency it can still be regarded as an unfeasible route. It can be concluded that there are notable differences between transport options, and significant uncertainties on how large-scale hydrogen demand should be handled exist.

Industrial Shifts and Social Rifts: Examining the Layers of Roma Marginalization Across Industrialization Cycles in Romania

Industrial Shifts and Social Rifts: Examining the Layers of Roma Marginalization Across Industrialization Cycles in Romania

Future of work from everywhere: a systematic review

PurposeTeleworking, working from home and flexible work have gained popularity over the last few years. A shift in policies and practices in the workplace is required owing to the COVID-19 pandemic accelerating current trends in work-from-everywhere (WFE) research. This article presents a systematic literature review of WFE research from 1990 to early 2023 to understand the transformation of the field.Design/methodology/approachThe Web of Science database was used to conduct this review based on rigorous bibliometric and network analysis techniques. The prominence of the research studied using SPAR-4-SLR and a collection of bibliometric techniques on selected journal articles, reviews and early access articles. Performance and keyword co-occurrence analysis form the premise of cluster analysis. The content analysis of recently published papers revealed the driving and restraining forces that help define and operationalize the concept of WFE.FindingsThe major findings indicate that the five established and accelerated trends from cluster analysis are COVID-19 and the pandemic, telework(ing), remote working, work from home and well-being and productivity. Driving and restraining forces identified through content analysis include technological breakthroughs, work–life integration challenges, inequality in the distribution of jobs, gender, shifts in industry and sector preferences, upskilling and reskilling and many more have been published post-COVID in the restraining forces category of WFE.Practical implicationsA key contribution of this pioneering study of “work from everywhere” is the linking of the bibliometric trends of the past three decades to the influencing and restraining factors during the pandemic. This study illustrates how WFE could be perceived differently post-COVID, which is of great concern to practitioners and future researchers.Originality/valueA wide range of publications on WFE and multiple synonyms can create confusion if a systematic and effective system does not classify and associate them. This study uses both bibliometric and scientometric analyses in the context of WFE using systematic literature review (SLR) methods.

미래자동차산업 패러다임전환의 주요 영향요인과 선도기업의 전략

미래자동차산업 패러다임전환의 주요 영향요인과 선도기업의 전략

Research on the Image Shaping of Male Beauty Bloggers and the Influence of Gender Attitudes under the Dramaturgy Theory

In today's fast-paced digital landscape, beauty-focused short videos have garnered considerable attention across various industries. The significance of these videos is increasingly apparent because they reflect changing trends in beauty aesthetics. Male beauty bloggers have recently risen to the forefront, taking advantage of their gender, to create a unique image unlike previous industry trends. This new media phenomenon has caused a large-scale, long-lasting, complex shift of the cultural beauty industry. The emergence of male beauty bloggers has not only brought about changes in information acquisition but has also subtly changed the perception and attitude of the whole society towards gender. This paper synthesizes the research methods of qualitative and quantitative analysis to analyze the image shaping of male beauty bloggers on new media platforms. The questionnaire method is used to investigate and analyze the psychology of their audiences, and to explore the gender attitudes reflected in the audience psychology. It is found that the image of male beauty bloggers contributes to the change of gender attitudes of young audiences and reflects the progress of larger shifts in society. Behind this phenomenon, more thoughts about media, culture, and gender equality are worth exploring.

Paradigm shift in the music industry: Adaptation of blockchain technology and its transformative effects

The music industry is undergoing a profound transformation thanks to blockchain technology. This article extensively examines how the core components of music – production, distribution, performance, and presentation – are undergoing radical changes through the integration of blockchain technology. The traditional music industry faces significant challenges, particularly in vital areas like copyright management, music distribution, and artist compensation. These challenges have become even more complex with the digitization of music and the rise of online platforms. However, blockchain technology, with its decentralized and transparent structure, has the potential to overcome these obstacles. This technology takes important steps in addressing disputes related to copyright by enhancing the traceability and verifiability of music works throughout their lifecycle, thereby contributing to fairer compensation for artists. Moreover, this article also delves into other intersecting domains related to the music industry, focusing on safeguarding intellectual property in music and presenting innovative solutions to the intricate music economy. Relevant data gathered through qualitative research methods is systematically presented to comprehensively explore the potential role of blockchain technology in the music industry’s future. This exploratory analysis also investigates blockchain-supported platforms, providing an in-depth examination of their current development status and business models. The article places special emphasis on fundamental concepts such as copyright, ownership of artistic works, cultural heritage, and the role of blockchain technology in shaping the music industry, artists, and the ongoing digital transformation. In this rapidly evolving dynamic process, the transformative role of blockchain technology in the music industry and its potential must be continuously monitored, serving as a foundation for future-oriented initiatives. This comprehensive approach reflects the concerted effort to understand the effects of blockchain technology, which is shaping the trajectory of the music industry’s future, from a broader perspective.

Correction to: Seasonal and circadian patterns of herring gull (Larus smithsoniansus) movements reveal temporal shifts in industry and coastal island interaction

Correction to: Seasonal and circadian patterns of herring gull (<i>Larus smithsoniansus</i>) movements reveal temporal shifts in industry and coastal island interaction

Flood Management: Solving Conformance or Sweep Efficiency Problems—Part 4: Solution Performance Analysis

The first three articles in this series have discussed problem identification, problem understanding; solution design, execution, and performance; and benefit methods and techniques that should help in our efforts to improve the solution success rate, but we still have further improvements to make. Part 4 provides an overview of ongoing research and recent technology improvements focused on improving sweep efficiency or conformance solutions taking place in both academia and the service industry within the US. This article does not review efforts taking place inside oil production companies or national oil companies as that work is generally not publicized until completed. Before we start this review, let’s capture some thoughts that were expressed by several department chairs and other leaders in the industry. There is a common feeling that the level of research activity on all conventional oilfield recovery problems has suffered from a change in interest and funding over the past 10 to 15 years. Research on conformance or sweep efficiency problems is a subset of conventional oilfield recovery issues and thus has also suffered from this reduced interest. Instead, a significant rise of unconventional oilfield recovery needs and focus on greenhouse gases (GHG), carbon footprint, and the energy industry transition has shifted the priorities at many universities, governments, and service providers. This shift in efforts has resulted in a significant redistribution of resources that were once focused on conventional oilfield recovery issues. The number and types of conventional oilfield recovery problems has not changed; if anything, they continue to grow, but the addition of unconventional resources and their unique character, along with the push for studies on GHG, carbon footprint, and energy transition without a corresponding increase in funding and manpower has diluted our ability to respond as an industry to these needs. This perspective is offered as a simple observation of conditions that exist in the energy research arena. No judgment is made on the appropriateness of this change or the overall situation. Simply be aware that as an industry we have many challenges to face in the future and some will suffer as others are prioritized. As a result of this and some other reasons, several universities such as Colorado School of Mines, Louisiana State University, Penn State, Stanford University, University of Houston, University of Southern California, The University of Tulsa, and University of Wyoming are not reporting any active or current efforts on conventional asset sweep efficiency or conformance solution research. This does not mean that all interest in these technologies has been lost, only that no current research activities are underway. This is unfortunate, but I believe it is representative of this industry shift. Now, back to the primary focus of this article.

Secure Multi-Path Selection with Optimal Controller Placement Using Hybrid Software-Defined Networks with Optimization Algorithm

The Internet's growth in popularity requires computer networks for both agility and resilience. Recently, unable to satisfy the computer needs for traditional networking systems. Software Defined Networking (SDN) is known as a paradigm shift in the networking industry. Many organizations are used SDN due to their efficiency of transmission. Striking the right balance between SDN and legacy switching capabilities will enable successful network scenarios in architecture networks. Therefore, this object grand scenario for a hybrid network where the external perimeter transport device is replaced with an SDN device in the service provider network. With the moving away from older networks to SDN, hybrid SDN includes both legacy and SDN switches. Existing models of SDN have limitations such as overfitting, local optimal trapping, and poor path selection efficiency. This paper proposed a Deep Kronecker Neural Network (DKNN) to improve its efficiency with a moderate optimization method for multipath selection in SDN. Dynamic resource scheduling is used for the reward function the learning performance is improved by the deep reinforcement learning (DRL) technique. The controller for centralised SDN acts as a network brain in the control plane. Among the most important duties network is selected for the best SDN controller. It is vulnerable to invasions and the controller becomes a network bottleneck. This study presents an intrusion detection system (IDS) based on the SDN model that runs as an application module within the controller. Therefore, this study suggested the feature extraction and classification of contractive auto-encoder with a triple attention-based classifier. Additionally, this study leveraged the best performing SDN controllers on which many other SDN controllers are based on OpenDayLight (ODL) provides an open northbound API and supports multiple southbound protocols. Therefore, one of the main issues in the multi-controller placement problem (CPP) that addresses needed in the setting of SDN specifically when different aspects in interruption, ability, authenticity and load distribution are being considered. Introducing the scenario concept, CPP is formulated as a robust optimization problem that considers changes in network status due to power outages, controller’s capacity, load fluctuations and changes in switches demand. Therefore, to improve network performance, it is planned to improve the optimal amount of controller placements by simulated annealing using different topologies the modified Dragonfly optimization algorithm (MDOA).

Water-energy-carbon nexus and sustainability-oriented prioritization of negative emissions technologies for the oil & gas industry: A decision support system under Fermatean fuzzy environment

Attaining carbon dioxide (CO2) emissions mitigation has become one of the central goals, and it has received wider attention from policymakers. The CO2 as a negative greenhouse gas (GHG) has been increasing in the atmosphere by anthropogenic activities, including the burning of fossil fuels. In view of this issue, negative emissions technologies can play a very useful role in reducing CO2 emissions concentration and mitigating climate change. Therefore, deploying these technologies is imperative. There are multiple available negative emissions technologies that should be assessed on the basis of different principles (criteria). A decision support system is needed to prioritize these technologies and select the most appropriate option. In this regard, a novel hybrid system including the two multi-criteria decision-making techniques under the Fermatean fuzzy environment is proposed. The Fermatean fuzzy set is applied for evaluating uncertainty in the water-energy-carbon nexus and sustainability principles performance levels of these technologies. The prioritization of negative emissions technologies considering the defined principles is assessed through the utilization of the proposed method. The results indicate that the technology of bioenergy with carbon capture and storage is the most suitable alternative for reaching the carbon management goals in Bidboland Persian Gulf gas refinery in southwestern Iran, Behbahan. This work extracts a roadmaping for piloting the oil & gas industry shift towards a circular carbon economy. Therefore, the industries such as the oil and gas industry should boost environmental awareness, ample funds, and incentives for implementing negative emissions technologies to encourage sustainable energy systems, develop low-carbon strategies, mitigate climate change, and promote sustainable economic growth. Concerning the government, corresponding policies and measures should be adopted to emphasize increasing the use of these technologies, especially in high-emission areas.

Using Connected Vehicle Data to Evaluate National Trip Trends

The National Household Travel Survey (NHTS), conducted by the Federal Highway Administration, has historically been used for documenting personal mobility trends. Current techniques using surveys to collect this data are labor-intensive and difficult to scale. Emerging connected vehicle (CV) data can provide an alternative data source to potentially provide a more scalable method to measure the temporal and spatial usage of passenger vehicles in near real-time. With an impending shift in the automobile industry towards alternative fuel vehicles (AFV), agile monitoring of trip trends is important to help guide state and national investments in AFV infrastructure. This study presents methodologies and visualizations summarizing observed trip characteristics using a sample of more than 500 billion CV records and nearly 1 billion CV trips for December 2022 in the United States. The analysis found very close agreement between trip lengths for internal combustion engine vehicles (ICEV) for CVs and those reported by the 2017 NHTS. Mean trip lengths and trip durations from CVs and NHTS for ICEVs are within 7.8% and 6.6% of each other. The 85th percentile comparison was similarly close, within 0.7% and 8.3%. A comparison of trip trends among states for ICEVs and AFVs as well as US census places and temporal trends for a selection of states, including Indiana, Texas, Wyoming, and California, is provided. The paper concludes that CV data is an important source to monitor trip characteristics across ICEVs and AFVs in near real-time, which will be particularly important to track during the anticipated change to AFVs.

Synthetic load profiles of non-energy intensive industrial sites: A combined bottom-up and top-down approach

The heterogeneous nature of the industrial sector in terms of process and product variety often hinders assessments of its energy consumption. The generation of synthetic load profiles (LPs) however offers a key instrument to support energy suppliers, grid operators and industries themselves by quickly evaluating the impacts of energy efficiency measures, fuel switch, new technologies etc. Currently, such LP generators are only developed for single real-life industry plants or require comprehensive beforehand data. Within this study, we propose a new model for generating synthetic LPs of industrial process chains without the need for extensive, plant-specific data. This solution includes a series of bottom-up and top-down approaches. We analyse different data sources and develop algorithms based on underlying data science methods and technical and economical modelling paradigms like Markov chains or Economy of Scale. Here, we describe novel findings e.g., a method that proves the prediction of industrial shift models from a top-down perspective or effects on the energy demand of industrial plants for rising production capacities. Furthermore, we prove that only some production processes in industrial facilities are responsible for the main share of energy demand, as the residues can be modelled by numerical analyses. We validate the developed approach by generating synthetic, electrical LPs of different real-life industrial plants and comparing the results to measured LPs. This study contains five case studies, of which we found valid approximations of our synthetic LPs to the measured, real-life plants. However, our model’s results differ from measured LPs, especially when depicting lower energy demands (< 200 kW). Furthermore, long-term periodicities e.g., part-time working hours on Saturdays haven’t been incorporated into our model yet, which leads to certain inaccuracies. We quantified these effects within this study. This, nevertheless, leaves open areas for future research work.

Global carbon dioxide emissions analysis based on time series visualization

Carbon emissions and climate change is a significant challenge faced by the world today. The effects of climate change are felt globally, and many countries are making efforts to tackle this problem. The paper aims to analyze the carbon emissions data of 159 countries spanning from 1860 to 2016. By using the method of time-series visualization, the research aims to transform this data into complex networks to uncover any hidden information that might be useful in reducing emissions. By employing k-means, cluster analysis and other methods, we found that 1) While global carbon emissions continue to rise, there is a deceleration or reduction in carbon emissions in high-income countries. This deceleration or reduction may be attributed to factors such as policy measures and industrial shifts. 2) Additionally, our analysis highlights the significant increase in carbon emissions in certain economies that are not among the world’s leading nations in terms of overall economic size. This indicates the importance of these countries recognizing the relationship between carbon emissions and their economic development levels. 3) In addition, comparing the carbon emission levels of China and the United States, it can be found that even if the total amount of economic development is similar, their carbon emission patterns may be greatly different. Finally, we suggest that in the formulation of carbon emission policies, we should not only pay attention to the similar national models of economic development, but also take into account the actual development industry and stage of the country.

On sustainable design and manufacturing for the footwear industry – Towards circular manufacturing

The global fashion industry is facing carbon footprint issues, but technological innovations are helping to improve its performance and environmental efficiency in terms of footwear manufacturing. This paper explores how Design for Additive Manufacturing (DfAM), Design for Assembly (DfA), and Design for Disassembly (DfD) strategies, along with Additive Manufacturing's (AM) capability to produce intricate parts, can contribute to the fashion industry's shift towards a Circular Manufacturing model. The focus is on footwear manufacturing and its carbon footprint issues. The proposed additively manufactured shoe design utilizes Polyamide 12 and Thermoplastic polyurethane as feedstock, featuring a glueless mechanical assembly system based on a snapfit. Notably, the upper part of the shoe incorporates a variable lattice structure to ensure flexibility in different areas. Finite Element Analysis (FEA) demonstrates that the snapfit assembly exceeds the industry standard's minimum disassembly force requirement. Additionally, an optimization algorithm for the variable lattice structure results in a 34% mass reduction while maintaining the desired Young's modulus in each shoe zone. This design approach aligns with the footwear industry's sustainability goals, aiming to reduce environmental impact and enhance product durability. The study successfully developed a strategy to implement AM for sustainable shoe fabrication.

Inventor mobility and spillovers in the early semiconductor industry

This paper examines the role of inventor mobility to drive innovation spillovers in the early semiconductor industry. I employ self-collected patent data from the infrequently studied period prior to the industry's shift to Silicon Valley (1946–1959) to track inventor movement across firms and regions. I utilize patent assignments to identify inventor moves and test for increased patenting activity for firms on both sides of a move. The results show increases to patenting after a move on both sides which taper off over a period of several months. I also use the dataset to discuss the broader patterns in the industry during this period, including overall geographic and patenting trends.

Barrier identification, analysis and solutions of blockchain adoption in construction: a fuzzy DEMATEL and TOE integrated method

PurposeBlockchain has the potential to facilitate a paradigm shift in the construction industry toward effectiveness, transparency and collaboration. However, there is currently a paucity of empirical evidence from real-world construction projects. This study aims to systematically review blockchain adoption barriers, investigate critical ones and propose corresponding solutions.Design/methodology/approachAn integrated method was adopted in this research based on the technology–organization–environment (TOE) theory and fuzzy decision-making trial and evaluation laboratory (DEMATEL) approach. Blockchain adoption barriers were first presented using the TOE framework. Then, key barriers were identified based on the importance and causality analysis in the fuzzy DEMATEL. Several suggestions were proposed to facilitate blockchain diffusion from the standpoints of the government, the industry and construction organizations.FindingsThe results highlighted seven key barriers. Specifically, the construction industry is more concerned with environmental barriers, such as policy uncertainties (E2) and technology maturity (E3), while most technical barriers are causal factors, such as “interoperability (T4)” and “smart contracts' security (T2)”.Practical implicationsThis study contributes to a better understanding of the problem associated with blockchain implementation and provides policymakers with recommendations.Originality/valueIdentified TOE barriers lay the groundwork for theoretical observations to comprehend the blockchain adoption problem. This research also applied the fuzzy method to blockchain adoption barrier analysis, which can reduce the uncertainty and subjectivity in expert evaluations with a small sample.

BRAC’s (ব্র্যাক) Adoption of Community-Based Primary Education for Socially Disadvantaged Children in Bangladesh

This article provides a critical-historical analysis of BRAC’s adoption of non-formal primary education (NFPE) while de-emphasizing ‘conscientizing’ functional education in Bangladesh during 1980s. The central question of this paper is why did BRAC´s adopt NFPE in 1985 within the framework of its needs. In this study, I analyze BRAC’s education program from 1973 to 1985, with particular attention to the international neoliberal context of 1980s, policy shift of the western aid industry, and relationship that BRAC and its founder had with local power structures and consecutive Bangladeshi regimes (Fateh, 2020). I examine BRAC’s curriculum documents, project proposals, evaluation reports, and statements made by BRAC’s founder Fazle Hasan Abed. My findings suggest that beside supporting the disadvantaged children, BRAC’s adoption of NFPE is for the sake of its organizational growth associated to its submission to local power structure, and dominant neoliberal framework of the international aid industry.