Industrial Dynamics Research Articles

Application of Laplace and Sumudu transforms to the modeling of unsteady rotating MHD flow in a second-grade tetra hybrid nanofluid in a porous medium

Understanding and managing the complex rheological behavior of fluid models is crucial for many real-world applications, such as industrial fluid dynamics, biomedical engineering, and environmental management. This study aims to predict the unsteady magnetohydrodynamic (MHD) flow of a second-grade tetra hybrid nanofluid in a porous medium containing uniformly dispersed dust particles. To address this challenge, we develop a mathematical model utilizing a non-fractional approach with ramping conditions. Our methodology incorporates Laplace and Sumudu transforms to analyze the velocity fields of both the fluid and dust particles. Additionally, we examine the heat transfer characteristics and the underlying dynamics of the magnetized second-grade tetra hybrid nanofluid flow. The momentum transfer of the dust particles is modeled using a separate equation. Key outcomes of this research include visual representations of novel findings, facilitating comparison with existing literature. Numerical simulations based on Sumudu and Laplace transformations produce velocity profiles for both fluid and dust particles, as well as temperature distributions, aligning with theoretical expectations. These results demonstrate the effectiveness of Laplace and Sumudu transforms in analyzing and simulating the turbulent MHD flow of nanofluids through porous media with dispersed dust particles.

Performance analysis and accuracy of numerical methods for solving simultaneous nonlinear particulate processes with multi-dimensional extension

The simultaneous population balance equation (PBE) incorporating diverse particulate process aggregation, breakage, growth, nucleation and source is a long-standing and significant problem in the field of particulate sciences such as pharmaceutical industry, chemical engineering, astrophysics and biology. Owing to the complex and nonlinear nature of the governing equations, finding an analytical solution is quite challenging for empirical kernels. In this work, simultaneous PBEs are solved using sectional and semi-analytical techniques. The performance, adaptability and accuracy of both methods for solving simultaneous PBEs are discussed in detail. The iterative semi-analytical scheme for solving simultaneous PBE is introduced, and a detailed convergence analysis using Banach fixed point theory is also presented. Both the schemes are further extended to solve simultaneous PBE in multi-dimensions. Performance analysis is also executed for multi-dimensional models. This article is a comprehensive study on various solution techniques for solving simultaneous PBEs. Therefore, it will be beneficial for the researchers working in industry and computational fluid dynamics modelling to identify the best method according to their requirements.

Evolution of technological leadership with the introduction of industry 4.0

The advent of Industry 4.0 has reshaped the landscape of technological leadership, marked by the integration of the Internet of Things into manufacturing environments. This study explores the evolution of leadership within the context of Industry 4.0, differentiating between managers and leaders. The journey from employee 1.0 to employee 4.0 is outlined, highlighting the transformation from obedient subordinates to self-managers, strategic business units, entrepreneurs, and, ultimately, individuals with free flowing viewpoints in the workforce. This study delves into the distinct requirements for effective leadership in each industrial phase. In Industry 1.0 and 2.0, leaders focused on mastering machinery and adapting to emerging technologies, while Industry 3.0 saw the rise of information technology and employees as entrepreneurs. The advent of Industry 4.0, characterized by the Internet of Things (IoT), demands leaders to be cross-hierarchical, team oriented, and cooperative, placing a premium on personal competence. A 2-dimensional matrix is introduced to summarize the essential attributes of technological leadership in Industry 4.0. The matrix, gauging "concern for people" and "concern for innovation and technology," distinguishes between "technological leaders" and "digital leaders." While technological leaders emphasize technology, digital leaders exhibit high concern for both technology and people. This study emphasizes the significance of digital leaders in fostering innovation through a cooperative and team-oriented approach, aligning with the collaborative dynamics of Industry 4.0.

Comprehensive Brand Analysis of the Telecommunication Industry in Delhi and Delhi NCR

The telecommunication sector in Delhi and the National Capital Region (NCR) is a crucial component of India's digital landscape, catering to a population exceeding 30 million and driving technological advancements in one of the country's most economically vibrant regions. In this dynamic environment, understanding the intricacies of brand strategies, market dynamics, and consumer behavior is paramount for industry stakeholders seeking to thrive amidst fierce competition and rapid technological evolution. This in-depth brand analysis embarks on a journey to unravel the complexities of the telecommunication sector in Delhi and the NCR. Through a meticulous blend of qualitative and quantitative methodologies, the research endeavors to shed light on the diverse array of factors shaping the regional telecommunications landscape. From the strategies adopted by industry contenders to the regulatory frameworks governing operations, this exploration aims to provide a comprehensive understanding of the opportunities and challenges inherent in the Delhi-NCR telecommunication market. The study delves into the strategies deployed by key players to navigate the competitive landscape. It illuminates how brands position themselves to capture market share, differentiate their offerings, and respond to evolving consumer demands. Additionally, the analysis dissects the regulatory context shaping operations within Delhi and the NCR, including licensing requirements, spectrum allocation policies, and consumer protection regulations. By examining the interplay between industry dynamics and regulatory frameworks, the research provides insights into the governance of the telecommunication sector in the region. As the telecommunication sector in Delhi-NCR continues to evolve, informed decision-making becomes imperative for industry participants, policymakers, and investors alike. By synthesizing insights gleaned from the analysis of market dynamics, consumer preferences, and regulatory frameworks, this examination serves as a strategic resource for navigating the complexities of the regional telecommunication market. Armed with actionable intelligence and a nuanced understanding of the telecommunication landscape, stakeholders can capitalize on emerging opportunities, address challenges, and contribute to the continued growth and innovation of the sector in Delhi and the NCR.

Advancing towards sustainable and net-zero supply chains: a comprehensive analysis of knowledge capabilities and industry dynamism

Purpose This research aims to investigate the relationship between knowledge capabilities, engagement capabilities, operational capabilities and sustainable supply chain flexibility in the steel production industry. In addition, it seeks to understand how these elements contribute toward achieving a net-zero supply chain, under the moderation of industry dynamism. Design/methodology/approach In total, 371 people have responded to the self-administered survey that the authors developed. The nonresponse bias analysis was carried out before diving into fundamental assumptions, such as homoscedasticity and normality. The data's reliability and construct validity were assessed by using confirmatory factor analysis. The hypothesized conclusions were supported by subsequent regression outputs, strengthening the body of existing academic research. Findings The research's empirical results highlight the positive relationship among knowledge capabilities, operational capabilities, sustainable supply chain flexibility and net-zero supply chain, particularly under the influence of industry dynamism. Information obtained from the steel production industry corroborates these findings. Moderation role of industry dynamism in the relationship between operational capabilities, engagement capability and sustainable supply chain flexibility was found significant. Originality/value This conceptual framework clarifies how knowledge capability, dynamic capabilities and the flexibility of a sustainable supply chain interact. It highlights how these factors collectively work together to attain a sustainable supply chain with net-zero environmental impact.

Drivers for Nominating First Women Executives: Empirical Evidence From Japanese Firms

Prior research on women in executive positions (WiE) has focused exclusively on the consequences of WiE by addressing how women executives influence firm strategy and performance, whereas little is known about the antecedents of WiE. However, to gain a comprehensive understanding of the overall impact of women executives on the firm, it is worthwhile to identify the triggers that prompt firms to appoint women executives for the first time. In this study, we have attempted to identify the antecedents of first appointments of women to executive teams (FAWE). On the basis of a theoretical frame incorporating the think crisis–think female perspective into the punctuated equilibrium model, we consider FAWE as the process of the transformational reform of an organization and examine the roles of three factors—firm performance (i.e., ROA and aspirational performance), environmental changes (i.e., industry dynamism, industry munificence, and industry complexity), and new CEO appointments—as antecedents of FAWE. We conducted a panel logistic regression analysis using 20 years of panel data (2000–2019) for Japanese listed firms. Our findings demonstrate that (1) poor firm performance (ROA and aspirational performance) was significantly related to the likelihood of FAWE in the subsequent year, and (2) a new CEO appointment was significantly related to the likelihood of FAWE in the subsequent year, whereas (3) hypotheses regarding environmental changes (industry dynamism, industry munificence, and industry complexity) were not confirmed. Implications for researchers and practitioners are discussed, along with the study’s limitations and suggestions for future research.

Competitive Improvement Strategies of The Coconut Oil Industry at PT XYZ

This study aims to analyze and formulate an effective strategy in increasing the competitiveness of the coconut oil industry in PT XYZ. In the midst of increasingly fierce competition, PT XYZ needs to implement the right strategy to maintain and expand its market share. This study uses a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis approach to identify internal and external factors that affect the company's competitiveness. In addition, Porter's analysis of five strengths was also used to understand the industry dynamics and competitive position of PT XYZ. The results of the study show that PT XYZ must focus on improving production efficiency, diversifying products, improving quality, and expanding its distribution network to strengthen its position in the global market. The proposed strategy recommendations include product innovation, improving quality standards, and strengthening the company's branding.

Export Persistence and Productivity in Vietnam: Who Learns?

The purpose of this study is to investigate the causal relationship between firms' export activities and their productivity, with a specific focus on identifying the source of productivity improvement by examining the persistence of export operations. Leveraging firm-level panel data from 2010 to 2015 in Vietnam, we employed a combination of Propensity Score Matching and Staggered Difference-in-Differences. Our findings indicate that the phenomenon of learning by exporting is evident across both consistent and intermittent exporters. For manufacturing enterprises, our analysis reveals no substantial variance in the learning by exporting effect between the steady and sporadic exporters. In contrast, within the service sector, we discern that intermittent exporters experience a more pronounced enhancement in labor productivity compared to their consistent exporting counterparts. Upon delving deeper into industry analysis, it becomes evident that the manufacturing and wholesale/retail trade sectors are the ones benefiting most from export activities. An interesting observation is that, within the manufacturing sector, we only find a positive impact on labor productivity with continuously exporting firms. This disparity implies that the mechanisms through which the learning-by-exporting effect operates may diverge between the manufacturing and service sectors. Furthermore, our empirical evidence reveals a direct positive correlation between export status and firm performance within privately owned enterprises. However, such a relationship was not evident for state-owned enterprises. To capitalize on the potential of export-driven growth, policymakers should adopt a nuanced approach, tailored to the unique dynamics of different industries and ownership structures. This underscores the importance of sector-specific support mechanisms, capacity-building initiatives for state-owned enterprises, and targeted export literacy programs for enterprises in fostering a conducive environment for sustainable economic growth in the Vietnamese context.

Growth and Dynamics in the Indian Mutual Fund Industry: Analyzing Investor Preferences and Investment Strategies

Growth and Dynamics in the Indian Mutual Fund Industry: Analyzing Investor Preferences and Investment Strategies

Convergence Acceleration of Favre-Averaged Non-Linear Harmonic Method

Abstract This paper develops a numerical procedure to accelerate the convergence of the Favre-averaged non-linear harmonic (FNLH) method. The scheme provides a unified mathematical framework for solving the sparse linear systems formed by the mean flow and the time-linearized harmonic flows of FNLH in an explicit or implicit fashion. The approach explores the similarity of the sparse linear systems of FNLH and leads to a memory-efficient procedure, so that its memory consumption does not depend on the number of harmonics to compute. The proposed method has been implemented in the industrial computational fluid dynamics solver Hydra. Three test cases are used to conduct a comparative study of explicit and implicit schemes in terms of convergence, computational efficiency, and memory consumption. Comparisons show that the implicit scheme yields better convergence than the explicit scheme and is also roughly 7–10 times more computationally efficient than the explicit scheme with four levels of multigrid. Furthermore, the implicit scheme consumes only approximately 50% of the memory required by the explicit scheme with four levels of multigrid. Compared with the full-annulus unsteady Reynolds-averaged Navier–Stokes simulations, the implicit scheme produces comparable results to URANS with computational time and memory consumption that are two orders of magnitude smaller.

THE ROLE OF BIG DATA ANALYSIS IN FASHION DESIGN

Today, as the contemporary, economic and cultural landscape becomes increasingly volatile, the dynamics of the fashion industry are becoming less predictable. The fast-changing fashion industry is constantly generating data. Big data is a powerful tool that offers new and exciting opportunities for fashion designers. It is used for different purposes such as understanding consumer behaviour, predicting trends and creating more personalized products. Design processes that were previously driven by intuition and instinct have become more fluid, data and goal-oriented with the opportunities offered by big data. This article aims to reveal the purposes of using big data by investigating fashion design models based on big data in the fashion industry in recent years. For this purpose, the current models of big data in fashion design, its limitations and development direction are discussed. While many of the areas of use of big data in the fashion industry (trend analysis, demographic, geographical analysis, age and gender, etc.) have been intensively researched, the number of purely design-oriented research is only recently increasing. This study is unique in that it focuses on the design phenomenon and applications of big data in fashion. In this context, there is no academic study in the national literature. It is expected to contribute to the discussion on the effects of big data and big data-based digital technologies in fashion design.

Tools for development of the Russian electric power industry in the current realities

Electric power industry is one of the most important sectors of Russian economy that satisfies the needs of the country’s population, companies of various areas of economy in electric and thermal energy and supplies it for the CIS and Non-CIS countries. Due to this, it is significant to study the tools for development of Russian electric energy industry in the current realities, and this is the basis of the article. The purpose of the article is to study the modern tools for development of electric energy industry and work out the recommendations on their improvement. The following aspects are considered as the main tools for development of electric energy industry: interconnection of electric grid resources, carbon neutrality, legislative acts, digital technologies, financial instruments aimed at attracting investment, accumulation systems (portable sources of electricity), electric transport, and green energy. The methodological basis of the research is the analysis of scientific publications and Internet resources, synthesis and generalization of the data acquired. The authors of the study have analyzed the most significant tools that can be used to develop the electric energy industry in the current situation, and worked out the recommendations on improving the effectiveness of their implementation. To provide a full-fledged solution of the tasks set in the article the authors have analyzed the dynamics of the electric energy industry, identified the basic principles of its development, the peculiar features of their implementation, worked out the opportunities and recommendations for their improvement. According to the results of the study it has been suggested to establish a new institute – a specialized international innovation centre of electric energy industry which will ensure attraction of investment, formation of effective cooperation with friendly countries and development of green energy industry. The authors have identified the tools providing for the development of electric energy industry in Russia, worked out recommendations on their improvement, suggested a new institute of financing and development of electric energy industry. The results of the study in hand can be used in the activity of the companies involved in electric energy industry and further research on the topic.

Work dynamics in retail industry: Impact of work intensification, high-performance work systems, and emotional exhaustion

The retail industry has complex and demanding work dynamics. In this context, a deep understanding of the factors that influence employee performance is highly relevant to managing retail companies. This study examines the interrelationships among work intensification, high-performance work systems (HPWS), emotional exhaustion, employee creativity, and employee performance within the retail industry. This study used a survey approach with a quantitative methodology; data were gathered through questionnaire distribution to 235 retail employees across Jakarta, Indonesia, utilizing non-probability convenience sampling. Analysis was conducted using partial least squares-structural equation modeling (PLS-SEM) via the SmartPLS version 3.3.3 tool. Results revealed that work intensification significantly and positively influences HPWS and emotional exhaustion (p < 0.05). While HPWS exhibited no significant impact on employee creativity, emotional exhaustion had a significant and negative effect (p > 0.05). Furthermore, employee creativity demonstrated a significant positive effect on employee performance (p < 0.05). It was a significant mediator between emotional exhaustion and employee performance, though not between HPWS and employee performance (p < 0.05). The study underscores the intricate dynamics within the retail work environment, highlighting the intertwined roles of HPWS, emotional exhaustion, and employee creativity. Practical implications emphasize the necessity for effective management strategies to navigate work intensification and emotional exhaustion, ultimately enhancing employee performance. Notably, this paper offers a comprehensive analysis of factors shaping employee performance in the retail sector, emphasizing the pivotal significance of HPWS, emotional exhaustion, and employee creativity as interconnected components.

Politeconometrics: The regulatory confluence theory as a mathematical framework for measuring the impact of regulations relative to other factors and externalities in the space industry

This paper introduces “Politeconometrics: The Regulatory Confluence Theory,” a novel mathematical framework designed to measure the impact of regulations in the burgeoning space industry. Traditional approaches to regulatory evaluation are inadequate in capturing the complexities of modern space activities. This paper addresses these limitations by proposing Politeconometrics, which combines econometrics, mathematical modeling, and regulatory theory to provide a comprehensive assessment of space regulations.The framework evaluates the efficacy of space regulations in advancing objectives across various jurisdictions, translating legal structures into quantifiable impacts, and identifying regulatory gaps. By incorporating factors like market entry feasibility, regulatory resistance, and industry dynamics, Politeconometrics offers a refined understanding of regulatory outcomes.Through case studies, including New Zealand’s space industry and the challenges of International Telecommunication Union (ITU) Spectrum Allocation, the paper demonstrates the practical application of Politeconometrics. The methodology involves data collection, assumption management, application of structural formulae, sensitivity analysis, and scenario simulations to ensure robust and actionable insights. The paper also explores the Regulatory Confluence Theory, which assesses the interconnectedness of regulatory frameworks and their cumulative effects on industry dynamics. This theory, combined with Politeconometrics, addresses the limitations of international space law by offering a dynamic, evidence-based approach to regulatory governance.Despite challenges like data availability and interdisciplinary integration, Politeconometrics and the Regulatory Confluence Theory provide significant advantages over existing methods. They offer a nuanced evaluation of the space industry’s regulatory environment, fostering innovation and sustainable development in space activities.

Style over substance? Advertising, innovation, and endogenous market structure

While firms use both innovation and advertising to boost profits, markups, and market shares, their broader social implications vary substantially. We study their interaction and analyze their implications for competition, industry dynamics, growth, and welfare. We develop an oligopolistic general-equilibrium growth model with firm heterogeneity. Market structure is endogenous, and firms’ production, innovation, and advertising decisions interact strategically. We find advertising reduces static misallocation, but also depresses growth through a substitution effect with R&D. Although advertising is found to be socially useful, taxing it could simultaneously increase dynamic efficiency, contain excessive advertising spending, and raise revenue, while still reducing misallocation.

Pengaruh Self Congruity, Perceived Price, Brand Trust, dan Customer Engagement terhadap Willingness to Continue and Subscribe pada Disney Plus Hotstar

The advancement of online streaming media and the growing interest of the Indonesian population in Video on Demand (VoD) applications have paralleled the development of the internet in Indonesia. The presence of various video streaming platforms with local, regional, and global reach operating in Indonesia has generated significant dynamics in the digital entertainment industry. This phenomenon has rapidly transformed the landscape, fostering the adoption of technology and altering consumer behavior patterns in accessing entertainment content. This research is aimed at uncovering the relationship between self-congruity and perceived price through various variables such as customer engagement and brand trust, which have implications on willingness to continue and subscribe. The study employs a quantitative research method or survey approach. Sample selection is conducted through non-probability sampling using purposive sampling techniques, with a total sample of 146 respondents who are customers of Disney+ Hotstar Indonesia. Data analysis is performed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The findings of the research reveal positive and significant influences, namely, self-congruity on brand trust, self-congruity on customer engagement, perceived price on customer engagement, brand trust on willingness to continue and subscribe, and customer engagement on willingness to continue and subscribe.

How complexity affects and shapes the dynamics in the football industry

This paper examines the complex dynamics at play within the football industry, highlighting how intricate and auto-catalytic processes impact and shape its operational landscape. By examining the interplay and mutual interactions in the objective functions (1) and the transition stages in the value chain (2), the study tries to shed light on the very diverse range of interactions characterising football industry. By examining the interplay and mutual interactions within the objective functions system (1), a source of complexity was found due to the impossibility of isolating the effect of a single variable on the entire structure. Then, the study analysed the transition stages in the value chain (2), from lower levels to elite competitions and vice versa, revealing the complexity that impacts the organisation, strategies, and decision-making of football clubs. The paper aims to evaluate the contributions of different components, such as economic and financial requirements and team achievements, to the self-sustaining nature of the football ecosystem. By examining these two themes, this article aims to provide a critical analysis of the intricacies of the football industry. This analysis should aid in identifying potential avenues for future research and determining the managerial frameworks and mechanisms required to navigate this complex industry. * Despite being a collaborative effort, §§ 1, 3.3 and 4 are attributed to Claudio Nigro; § 3.1 to Simona Curiello; §§ 3.3.1, 3.3.2 and 3.3.3 to Enrica Iannuzzi; §§ 3.2, 3.2.1 and 3.2.2 to Enrico Lubrano; §§ 2, 3 and 5 to Vincenzo Sanguigni; § 3.4 to Raffaele Silvestri; §§ 2.1, 2.2, 2.3, 3.1.1 and 3.1.2 to Rosa Spinnato.

The impact of industrial zones on regional attractiveness and competitiveness in Algeria

Abstract Subject and purpose of work Industrial zones in Algeria play a crucial role in shaping the attractiveness and competitiveness of the country’s regions. The impact of these zones extends beyond economic factors, influencing the overall appeal and competitive edge of different regions. Understanding the dynamics of industrial zones is essential for comprehending Algeria’s economic landscape and its efforts to enhance regional development. The primary objective of this article is to shed light on industrial zones and their impacts on regional industrial attractiveness and competitiveness in Algeria. Firstly, it involves clarifying the concept of regional attractiveness and competitiveness in relation to their economic, environmental, and social dimensions. This leads us, secondly, to examine non-institutional actors, specifically companies, and their interactions with their regions, based on an understanding of the local area, including the effect of industrial zones on the attractiveness and competitiveness of local companies. Materials and methods This study relies on the results of research conducted through a quantitative statistical survey among a sample of 110 companies (SMEs) located in various industrial zones in the Blida Province, allowing us to specify the impact of these industrial zones on local attractiveness and competitiveness. Results The results of our survey show that the industrial zones in Blida Province are highly conducive to the establishment of businesses, attracting project initiators effectively. The large number of businesses located in industrial zones and activity areas demonstrates that these zones remain attractive and present certain competitive advantages. Conclusions Industrial zones can play a key role in local industrial attractiveness and dynamics. When well-planned and managed, they can stimulate economic growth, promote employment, encourage innovation, and support local and sustainable development.

Regional Dynamics of Industry, Agriculture and Population in Russia in 1990–2020: Geoecological Interpretation

Regional Dynamics of Industry, Agriculture and Population in Russia in 1990–2020: Geoecological Interpretation

The macroeconomic overview of the alcohol industry: a perspective from the emerging market of Asia

Purpose This study aims to analyze the relationship between the alcohol brewing industry and the macroeconomic variables of the emerging market of Asia. Design/methodology/approach The study uses secondary data for the period of 32 years and applies the autoregressive distributed lag-error correction method (ARDL-ECM) approach to understand short- and long-run dynamics in the alcohol industry by considering macroeconomic variables. Findings The findings of the study confirm the existence of a long-run relationship between the alcohol brewing industry and the macroeconomic variables considered for this study. Research limitations/implications The authors present a few limitations of this study. First, this study uses secondary data originating from one of the emerging markets of Asia. Second, the study is solely conducted from an economic perspective rather than from a social or health perspective. Finally, the study considers the data originating from the organized sector of the alcohol industry of India. Practical implications The study will be helpful to the researchers in guiding the future course of research in the area of the alcohol industry. This study can be helpful to the policymakers in framing the National Alcohol and taxation Policy. This study also helps both the producers and exporters to strategize sustainable production and trade of alcoholic beverages. Originality/value To the best of the authors’ knowledge, this study is the first of its kind to analyze the alcohol industry from the macroeconomic perspective through the ARDL-ECM approach.