Context Of Industry Research Articles

Sustainable Entrepreneurial Process in the Deep-Tech Industry

To date, deep-tech entrepreneurship and sustainable entrepreneurship are both attracting the interest of researchers. Indeed, deep-tech is being employed to address future sustainable challenges in the present. Nevertheless, the process of deep-tech startups is filled with distinct obstacles. These types of startups may necessitate a more targeted sustainable entrepreneurial process and specialised knowledge compared to conventional technological startups or general sustainable entrepreneurial processes. Currently, most publications discuss either a sustainable entrepreneurial process or conventional technical startups. Therefore, this article aims to investigate the process of sustainable entrepreneurs as they transition from startup ventures to scaleup enterprises within the context of the deep-tech industry. Based on previous sustainable entrepreneurial processes, a multiple case study was conducted within six deep-tech startups, using a narrative progress research strategy, to find the sustainable process pattern. A conceptual model of a sustainable entrepreneurial process in deep-tech industry is established, including five phases with six activities: (i) Sustainable idea definition; (ii) Sustainable opportunity recognition and evaluation; (iii) Venture launch; (iv.i) Sustainable products/services development; (iv.ii) New sustainable enterprise financing; and (v) Sustainable enterprise scaleup. This process enables sustainable deep-tech entrepreneurs, policymakers, and financial investors to necessarily have an overview of the key entrepreneurial stages to navigate from the startup to the scaleup process.

Model Checking Distributed Protocols in Must

We describe the design and implementation of Must, a framework for modeling and automatically verifying distributed systems. Must provides a concurrency API that supports multiple communication models, on top of a mainstream programming language, such as Rust. Given a program using this API, Must verifies it by means of a novel, optimal dynamic partial order reduction algorithm that maintains completeness and optimality for all communication models supported by the API. We use Must to design and verify models of distributed systems in an industrial context. We demonstrate the usability of Must's API by modeling high-level system idioms (e.g., timeouts, leader election, versioning) as abstractions over the core API, and demonstrate Must's scalability by verifying systems employed in production (e.g., replicated logs, distributed transaction management protocols), the verification of which lies beyond the capacity of previous model checkers.

Agile project management for sustainable residential construction: A study of critical success factors

Sustainability principles should be incorporated into all decision-making stages for residential construction projects to ensure maximum revenue while maintaining essential residential building services. This study identifies and analyzes the critical success factors (CSFs) necessary for implementing agile project management (APM) in residential construction projects. Data were collected from 120 professionals in the Nigerian construction industry through questionnaire surveys to understand the implementation of APM. The CSFs were obtained from previous research and analyzed within the specific context of the Nigerian construction industry through questionnaire surveys. The CSFs were grouped into two main categories using exploratory factor analysis: dynamic project optimization and agile project foundations. The model for the CSFs was developed using partial least squares structural equation modeling. The study found that the dynamic project optimization element had the most significant impact on the model, highlighting its importance as a key CSF in APM implementation. These results support the adoption of APM within Nigeria’s construction industry as stakeholders and professionals seek effective strategies to reduce costs and improve sustainability.

Construction 4.0 implementation for performance improvement: an innovation management perspective

Purpose The emergence of Construction 4.0 technologies provides an impetus for radical change and rejuvenates the interest of stakeholders in addressing long-standing performance issues in the construction sector. However, construction firms struggle to implement Construction 4.0 technologies for performance measurement and improvement. Therefore, the purpose of this research is to develop a conceptual model of innovation management for implementing Construction 4.0 that guides and facilitates the strategic transformation of construction firms. Design/methodology/approach A conceptual model of innovation management is presented, and the findings are synthesised based on a literature review, 20 semi-structured interviews, two focus group discussions, three workshops, expert consultation and observations on three digitally-enabled projects. Data were inductively analysed using thematic analysis. Findings The analysis of empirical data revealed: (i) Four scenarios that could lead the industry to different futures, based on the extent of research and development, and the extent of integration/collaboration; (ii) Construction 4.0 capability stages for a sustained implementation route; (iii) Possible business model configurations derived from servitisation strategies; and (iv) Skills management challenges for organisations. Research limitations/implications First, the empirical data was only collected in the UK with its unique industry context, which may limit the applicability of the results. Second, most of the research data comes from the private sector, without the views of public sector organisations. Third, the model needs to be further validated with specific data-driven use cases to address productivity and sustainability issues. Practical implications Successful Construction 4.0 transformation requires a concerted effort of stakeholders, including those in the supply chain, technology companies, innovation networks and government. Although a stakeholder’s action would depend on others’ actions, each stakeholder should undertake action that can influence the factors within their control (such as the extent of collaboration and investment) and the outcomes. Originality/value The conceptual model brings together and establishes the relationships between the scenarios, Construction 4.0 capability stages, business models and skills management. It provides the first step that guides the fuzzy front-end of Construction 4.0 implementation, underpins the transformation to the desired future and builds long-term innovation capabilities.

Creating airlines’ innovation: linking employees’ perspective of service quality, intellectual capital and innovation performance

ABSTRACT This study investigates various dimensions, including service quality, absorptive capacity, innovation performance, and intellectual capital (specifically organisational capital, social capital, and human capital), within the context of the airline industry. A survey questionnaire was administered to airline employees during the COVID-19 pandemic. The findings indicate that service quality has the potential to generate favourable innovation outcomes, such as increased absorptive capacity, thereby further enhancing employee innovation performance. Service quality is also found to have a simultaneous positive impact on human capital, leading to increased innovation performance and absorptive capacity. Therefore, organisations should prioritise the development of absorptive capacity to enhance both human capital and the accumulation of intellectual capital. Furthermore, both organisational capital and human capital play a vital role in these intricate strategy decision procedures. These factors play a crucial role in strengthening the connections between service quality and innovation performance.

Predicting noise and vibration in electric brake systems at mass production stage using q-axis current

This study explores the challenges of noise, vibration, and harshness (NVH) in electric brake systems within the context of the automotive industry's shift towards environmentally friendly technologies. The electrification of vehicles and their braking systems leads to weight reduction and enhanced braking efficiency. However, these advancements also yield new NVH challenges. The intricate motor-driven mechanisms of electric brake systems are prone to cogging torque, magnetic imbalance, and radial electromagnetic forces, which degrade the user experience and necessitate service interventions. Therefore, this study presents an approach to predicting noise and vibration levels using q-axis current measurements obtained during the initial actuation of electric brake systems in the mass production stage. This study aims to establish a predictive model that can identify potential NVH problems early, enhance the quality and reliability of electric brake systems, and improve user satisfaction. This method enhances sustainable vehicle technologies, improving the overall user experience. The study delves into the intricate relationship between electrical currents and NVH phenomena by integrating electromagnetic analysis with mechanical dynamics. Therefore, this paves the way for the development of advanced diagnostic tools in electric vehicle technology.

Influence of slip conditions and applied magnetic field on peristaltic propulsion of ellis fluid flow in a homogeneous conduit: a parametric analysis

The peristaltic mechanism has recently garnered significant attention in biological and biomedical engineering fields. This study investigates the magnetohydrodynamic (MHD) peristaltic propulsion of an Ellis fluid through a uniform channel, incorporating slip boundary conditions. Both magnetic field presence and slip effects modulate the peristaltic motion, with various factors influencing the sinusoidal waves along the channel walls. Through appropriate assumptions and simplifications, we derive governing equations for the flow and magnetic field. The resulting nonlinear system of differential equations is solved using a perturbation technique. We thoroughly examine three key metrics: velocity, pressure gradient, and streamlines. Findings indicate that magnetic field presence and slip conditions significantly impact flow behaviour. Slip coefficients positively influence velocity and pressure difference, while the magnetic field tends to decelerate the velocity profile. A comparative analysis between Newtonian and non-Newtonian models reveals notable differences in velocity profiles. These insights have potential applications across a wide spectrum of industrial and biological contexts. This study contributes to the understanding of complex fluid dynamics in peristaltic systems, offering valuable perspectives for both theoretical advancement and practical applications in biomedical and industrial fields.

Innovation and competitiveness in the industry 4.0 era: the SYNCHRO framework for digital servitization

PurposeThis study aims to develop a theoretical and practical framework to guide manufacturing companies in their transition towards digital servitization (DS), identifying relevant elements in implementing a digital servitization (DS) strategy.Design/methodology/approachWe use a mixed-methods approach combining qualitative interviews and quantitative surveys. Data were collected from 98 manufacturing companies in Spain to understand their DS strategies and outcomes.FindingsThe SYNCHRO framework, encompassing seven components: Stakeholder environment, Yield through co-creation, New capabilities, Connectivity through Industry 4.0, Handling challenges, Restructuring internally and Organizational adaptation, is presented. The results indicate that companies can advance towards DS autonomously, without necessarily relying on co-creation with customers. However, the implementation of Industry 4.0 technologies and internal adaptation are critical for success.Research limitations/implicationsFuture research should expand the sample size and explore the implementation of the SYNCHRO framework in different industrial and geographical contexts to validate its effectiveness.Practical implicationsThe framework provides a structured approach for companies to integrate digital technologies and reconfigure their business models, ensuring improved competitiveness and adaptability in the Industry 4.0 landscape.Social implicationsBy promoting sustainable business practices and enhancing competitiveness, the SYNCHRO framework can contribute to economic growth and stability within manufacturing sectors.Originality/valueThe SYNCHRO framework offers a comprehensive guide for DS, highlighting the importance of internal innovation and organizational flexibility. This framework contributes to the existing literature and provides a tool for companies to enhance business competitiveness and sustainability.

Life Cycle Assessment for particleboards with recycled wood in an industrial context

Abstract The issue of depletion of natural resources carries side effects on human health, the ecosystem, and the planet itself. It is necessary to develop mitigation policies to reverse the actual climate trend. Both actions on small and large scales can make a relevant contribution to that problem. This paper aims to investigate two different approaches of the Life Cycle Assessment in an industrial context, in particular “ex-post” LCA is carried out for particleboards manufactured by a company using 100% recycled wood, while “ex-ante” LCA study is referred to a hypothetical particleboard manufactured equally to the previous product, but using 100% virgin wood, instead of recycled. The outcomes of the comparison of the two LCAs highlights that there are very relevant aspects to take into consideration when the environmental performance of a product is evaluated. In fact, CO2 emissions, which are one of the most concerning environmental impacts nowadays, and which is also orienting European policies, are not the only indicator that affect the impacts related to the human health, the natural environment, and the natural resources. The LCA tool is a complete tool capable to provide all-round environmental impacts of the studied object; in this research the results from the comparison of the two products’ LCA, pointed out how the “land use” increases in the case of the product made with only virgin wood, which is more than 20 times superior compared to the “land use” in the case of particleboard containing 100% recycled wood. The application of the two LCAs is structured on “cradle to gate” system boundary to highlight the impacts of the production process. For both ex-ante and ex-post application an interpretation is conducted to evidence their benefits, but with awareness of possible limits when they are utilized.

Enhancing durability and oil-water separation efficiency with plasma-treated graphene oxide coated mesh

In recent years, there has been a surge in interest surrounding the fabrication and utilization of superhydrophobic and superhydrophilic surfaces, driven by their exceptional functionalities and properties. Graphene Oxide (GO) has inherent hydrophilicity and underwater superoleophobicity, which has made this material a particularly capable candidate for oil-water separation. Addressing the persistent challenge of efficient oil-water separation in industrial contexts, this study presents the fabrication of a GO-coated stainless steel mesh via a facile dip coating method augmented by an intermediate two-step O2 plasma treatment. The coated meshes were tested with various oil and water mixtures, including neutral, acidic, saline, and hot water, to find separation efficiency and recyclability. Notably, the meshes can achieve excellent separation efficiency of approximately 98.9 % and a superior flux of 11,464 L m−2 h−1 driven by gravity. This is a significant improvement over GO-coated meshes without O2 plasma treatment. Moreover, the plasma-treated meshes exhibit robust long-term durability and chemical stability, maintaining high underwater oil contact angles ≥119° even after extended immersion in diverse pH mediums and salt solutions for 150 days. This work showcases the practical viability of plasma-treated GO-coated meshes for oil-water separation applications and establishes a framework for systematically evaluating their long-term performance in harsh immersion conditions.

Numerical and theoretical modeling of water droplet impact on hydrophilic and superhydrophobic cones

The phenomenon of droplet impingement on solid surfaces is prevalent in various natural and industrial contexts. Research on impact dynamics on conical surfaces keeps emerging, with superhydrophobic cones receiving more attention than hydrophilic ones. This study systematically investigates water droplet impact dynamics on both hydrophilic and superhydrophobic cones using a two-phase numerical solver under different Weber numbers (We) and cone angles (φ). Three distinct phases are identified in the We–φ map to describe the different outcomes on each type of cones. Generally, deposition occurs ultimately on hydrophilic cones, whereas rebounding is observed on superhydrophobic ones. The maximum spreading area βAmax on hydrophilic cones depends only slightly on φ but consistently increases with We, following a scaling law of We0.5 at higher We. In contrast, on superhydrophobic cones, βAmax increases significantly with both We and φ, and the exponent in the scaling laws of βAmax with respect to We increases notably as φ increases. Three characteristic times are defined to describe important motion states on both types of cones. Corresponding scaling laws for each time with We are established. Two theoretical models are developed to predict the maximum spreading position for droplets on hydrophilic cones and the rebound position on superhydrophobic cones, respectively. Gravitational potential energy is included in the energy budget for both models, and an auxiliary viscous dissipation due to spontaneous spreading is accounted for the hydrophilic case. Satisfactory agreement between the theoretical and numerical results is achieved.

Fostering a Continuous Learning Environment: Keys to Unlocking Your Organization's Full Potential

Abstract: This article explores how organizations can establish a culture of continuous learning to help unlock their full potential. The article begins by defining continuous learning and outlining its benefits at both the individual and organizational levels based on research. It then discusses essential components for creating a true continuous learning environment, including leadership support, structured processes, goal planning, and hands-on approaches. Practical strategies are provided for integrating continuous learning depending on industry context, such as technology, manufacturing, healthcare and marketing. The author argues that cultivating a culture where ongoing learning is ingrained will empower individuals, teams and the overall business to adapt, improve and thrive.

Job stress matters: Understanding how job stress moderates the relationship between person-environment fit and innovative work behavior in the Thai food industry

This study investigates the impact of person-environment fit and job stress on innovative work behavior within Thailand's food industry. Through a comprehensive survey conducted among supervisors in the food industry, validated scales were utilized to measure person-environment fit, job stress, and innovative work behavior while controlling demographic variables. Employing hierarchical regression analysis and moderation analysis, the study examines the direct and moderating effects of person-environment fit and job stress on innovative work behavior. Results reveal a significant positive relationship between person-environment fit and innovative work behavior, with job stress moderating this relationship. Notably, specific points of interaction between job stress levels and person-environment fit are identified, shedding light on nuanced dynamics within the food industry. This research introduces a novel approach by integrating the Job Demands-Resources Model with person-environment fit theory to explore how specific stressors unique to the food industry can influence innovation. The study also pioneers the use of industry-specific measures for assessing job stress and innovation, which were developed and validated within this context. This research contributes to both theoretical and practical knowledge by enhancing our understanding of innovation mechanisms in the food industry and providing actionable insights for fostering creativity and innovation among employees. The study's originality lies not only in its emphasis on the context of the food industry but also in its development of tailored theoretical and methodological approaches to address the sector's unique challenges and opportunities.

Exploring circular economy strategies of SMEs in the Italian tanning cluster of Arzignano: A multilevel perspective of reactive and proactive strategies

While the Circular Economy predominantly affects large companies and multinationals, its impact on Small and Medium-sized Enterprises (SMEs) is an emerging research area. This research aimed to unfold the Circular Economy strategies implemented by SMEs within an industrial cluster context. Ten companies from the Italian tanning cluster of Arzignano were selected as case studies. Thematic analysis, pattern-matching, and multi-value Qualitative Comparative Analysis techniques were used to analyze primary and secondary data. Main findings revealed that CE strategies taken by the studied companies were characterized by the economic and efficiency benefits provided, such as resource-saving, waste management, energy use reduction, and materials selection for further recycling. SMEs' management is targeting compliance with environmental regulations/certifications, market pressures, and cost-benefit assessments, evidencing an adaptive behavior to external exigencies. Novel findings came from the meso level, such as a ‘symbiotic circularity’ strategy taken by two SMEs and their value chain for co-production, and the chain actions related to recycling, remanufacturing, and reusing wasted products by partner companies. A cascade chain of interdependent actions toward Circular Economy practices was also identified within the cluster level. Reactive and proactive Circular Economy strategies were identified in a multilevel framework.

An ethical assessment of powered exoskeletons: Implications from clinical use to industry and military contexts.

Exoskeletons are technologies that can help to increase or improve mobility, dexterity, and strength. They can be used as assistive devices, to restore lost affordances, or for rehabilitation. While mechanical exoskeletons are passive and rely on the body's power for movement, powered exoskeletons are active mechanical systems that can assist or enhance a user's capacity, including in strength and performance. They also offer scope to augment or enhance beyond simple medical support, with potential in the future for superhuman power and strength. While these technologies present promising clinical opportunities, including for those who want to regain walking capacity, they also bring ethical questions, such as about data privacy and accessibility. In addition, the physical features of the technology can prove mentally, physically, and financially demanding, and may be deployed in contexts where user choice and autonomy is constrained. In this article, we discuss these issues, and raise some pertinent ethical questions, not all of which can be easily answered. We touch upon medical and therapeutic uses, for industrial and workplace settings, and in military contexts specially, given these are contexts where such technology may be required or even imposed. We argue that reasonable optimism for such technologies needs to be tempered by sufficient ethical assessment to identify and address barriers to research, development, and use. As well as managing any impacts and expectations for the health and wellbeing of users, the potential impact on autonomy and the risk of coercion, we have to consider what kind of data may be recorded or used, and the risk that these technologies could exacerbate existing inequalities or harms.

Motion priority optimization framework towards automated and teleoperated robot cooperation in industrial recovery scenarios

In this study, we introduce an optimization framework to enhance the efficiency of motion priority design in scenarios involving automated and teleoperated robots within an industrial recovery context. The increasing utilization of industrial robots at manufacturing sites has been instrumental in reducing human workload. Nevertheless, achieving effective human–robot collaboration/cooperation (HRC) remains a challenge, especially when human workers and robots share a workspace for collaborative tasks. For instance, when an industrial robot encounters a failure, such as dropping an assembling part, it triggers the suspension of the corresponding factory cell for safe recovery. Given the limited capacity of pre-programmed robots to rectify such failures, human intervention becomes imperative, requiring entry into the robot workspace to address the dropped object while the robot system is halted. This discontinuous manufacturing process results in productivity loss. Robotic teleoperation has emerged as a promising technology enabling human workers to undertake high-risk tasks remotely and safely. Our study advocates for the incorporation of robotic teleoperation in the recovery process during manufacturing failure scenarios, which is referred to as “Cooperative Tele-Recovery”. Our proposed approach involves formulating priority rules designed to facilitate collision avoidance between manufacturing and recovery robots. This, in turn, ensures a continuous manufacturing process with minimal production loss within a configurable risk limitation. We present a comprehensive motion priority optimization framework composed of an HRC simulator and a cooperative multi-robot controller to identify optimal parameters for the priority function. The framework dynamically adjusts the allocation of motion priorities for manufacturing and recovery robots while adhering to predefined risk limitations. Through quantitative and qualitative assessments, we validate the novelty of our concept and demonstrate its feasibility.

Hydrothermal behaviour of hybrid nanofluid flow in two types of shell and helical coil tube heat exchangers with a new design. Numerical approach

High-efficiency thermal energy systems are very important in meeting the growing demand for thermal energy. As a result, several heat transfer improvements have been proposed. Some promising methods include flow heat transfer in shell and spiral tube exchangers.In a shell-and-coil heat exchanger, utilizing a meticulously designed coil instead of a basic one significantly boosts heat transfer and overall thermal efficiency. This is due to the enhanced fluid dynamics and increased turbulence facilitated by the advanced coil design, making it ideal for space-constrained applications. Moreover, the helical configuration helps minimize fouling and maintenance, and may also provide self-cleaning benefits. Consequently, helical coils are highly regarded in industrial contexts for their superior performance, maintenance ease, and design adaptability.This study conducts a numerical evaluation of the heat transfer and fluid flow properties of two distinct shell-and-coil heat exchangers with specialized designs. The fluids analyzed include water-based hybrid nanofluids, specifically Water/MgO-TiO2and Ag-HEG/water, with results compared to those obtained using pure water. The investigation spans Reynolds numbers from 500 to 2000 and is divided into two segments.The first segment examines the influence of spiral coil geometry and fluid type on the heat exchanger's endothermic performance, utilizing nanoparticle volume concentrations of φ1 = φ2 = 0.3. In the second segment, the optimal geometric and fluid model is chosen based on the findings from the first part. Following this, the impact of various hybrid nanofluids on thermal performance is assessed, comparing fluids with volume concentrations of φ1 = φ2 = 0.3 to pure water (φ1 = φ2 = 0).The findings reveal that Case [A], featuring a unique geometry with Water/Ag_HEG, achieves the highest thermal performance across all examined Reynolds numbers. At the lowest Reynolds number, the thermal efficiency improvements for Case [A], Case [B], and Case [C] were 137 %, 113 %, and 56 %, respectively, compared to the baseline. Additionally, the second part of the study demonstrates that at the lowest Reynolds number, the thermal efficiencies of Water/MgO-TiO2 and Water/Ag_HEG nanohybrid fluids increased by 76 % and 49 %, respectively.

Sustainability and energy transition in Swiss universities of applied sciences

The University of Applied Science (UAS) in Switzerland were reformed around 25 years ago and have since achieved considerable success in education and applied research. At the core of the UAS mission are the challenges of realizing sustainability in the industrial context and determining how to tackle the energy transition. This paper presents two examples (residential buildings and consumer products) to demonstrate how the aforementioned challenges are confronted in the UAS. These examples bring the necessity to confront sustainability in a comprehensive and interdisciplinary way. Engineering skills should be complemented with knowledge of integration among the human and technological aspects of a project.

Strategic Management Practices in Multinational Corporations: A Comparative Study

This paper explores strategic management practices within multinational corporations (MNCs) through a comparative study of different regional and industrial contexts. The research aims to identify key strategies that drive success and sustainability in a globalized business environment. Utilizing a mixed-method approach, the study combines quantitative analysis of financial performance metrics with qualitative insights from interviews with senior executives. The findings highlight the significance of adaptive strategies, cultural intelligence, and robust risk management frameworks. Additionally, the study uncovers regional variations in strategic priorities, emphasizing the need for MNCs to tailor their approaches to local market conditions. The paper concludes with recommendations for practitioners to enhance strategic alignment and operational effectiveness across diverse geographical landscapes.

Exploring strategic decision making as a mediator between enterprise resource planning, innovation, strategic planning, and organizational performance

This study aimed to explore the effect of enterprise resource planning (ERP), innovation (IN), and strategic planning (SP) on the organizational performance (OP) of large industrial companies in Saudi Arabia, with the mediating role of strategic decision-making (SDM). To this end, data was collected from 358 participants and analyzed using structured equation modeling (SEM) via SmartPLS 4. The findings confirmed that ERP positively affects both SDM and OP. Likewise, IN positively affects SDM but does not directly affect OP. On the contrary, SP positively affects both SDM and OP. These results emphasized the important role of SDM as a mediator. Theoretical implications highlight the integration of ERP, IN, SDM, and SP into a coherent model that explains OP dynamics. In practical terms, organizations can leverage these insights to enhance SDM processes aimed at improving operational processes. Overall, this study contributes to the literature by providing a nuanced understanding of how ERP, IN, SDM, and practices collectively drive operational processes in industrial contexts, particularly in Saudi Arabia.