Changes In Industry Research Articles

The Influence of Situational Leadership on Organizational Performance Through Organizational Change in the Hospitality Industry in Southern Kalimantan

This study aims to investigate the influence of situational leadership, organizational change, and organizational performance in the hospitality industry. A quantitative method is used to analyse data from a total population of 222 three- and four-star hotel management professionals in South Kalimantan Province. The data collection method was a census, to ensure the adequacy of the unit of analysis. The data analysis technique uses SEM Amos to jointly analyze the influence of situational leadership and organizational change on performance. The results of this study were that empirically, leadership’s ability to give orders to hotel employees is the most decisive attitude in situational leadership, especially in terms of supervising its members in the settlement process. Moreover, readiness to change as a belief and attitude that must be carried out has the highest contribution value in organizational change. From an organizational performance organizational performance, at star hotels in South Kalimantan, the most decisive indicator is positive feedback from hotel guests regarding the product or service experience used. Organizational change is able to mediate the influence of situational leadership on organizational performance. Keywords: situational leadership, organizational change, hotels performance

Economic and environmental impacts of the shifts to electromobility in Spain: A multiregional input–output framework

AbstractThe decarbonization of transport is a key goal facing climate change. The electrification of the powertrain for passenger cars is part of this goal to reduce carbon emissions. This involves a big change in the global supply chain, specifically in countries with a high weight of the traditional automotive sector, such as Spain, where above 10% of the GDP comes from this industry. There is a forecasted shift from the sector of traditional automotive parts to the electric sector, where batteries and electric components will be the major part of the powertrain. This work evaluates socioeconomic and environmental impacts of the changes in the car industry from the ramp‐up of the electric vehicles market in Spain, and also in the European Union and the rest of the world. To do it, we use an environmentally extended multiregional and multi‐sectoral input–output model. Our simulations include the technological change and demand shifts estimated to achieve the penetration of electric vehicles up to 2030 and 2050. The results show significant impacts on employment and economic indicators by 2050, when the share of electric vehicles is expected to increase up to a relevant level.

РОЛЬ KPI ТА OKR В ЕФЕКТИВНОСТІ ДІЯЛЬНОСТІ КОМПАНІЇ

The article addresses the implementation and effective utilization of two crucial management methodologies - Key Performance Indicators (KPIs) and Objectives and Key Results (OKR) - in the context of the contemporary business environment. The significance of both methods is analyzed in the backdrop of increasing competition and constant industry changes, necessitating novel approaches to strategic management and the exploration of methods to enhance overall company efficiency. Various aspects of employing KPIs and OKRs in different types of companies and at various stages of their development are highlighted. Special attention is given to examining how both methodologies can coexist and interact to achieve maximum effectiveness in strategic management. A methodology for the joint implementation of KPIs and OKRs is proposed, taking into account the unique needs and characteristics of each approach. The outlined steps include analyzing the company's strategy, identifying key areas for measurement, formulating specific objectives through OKRs, and determining corresponding KPIs. Roles and significance of Key Performance Indicators and Objectives and Key Results in different types of companies are analyzed, demonstrating how their combined usage can create synergy and ensure strategic success. The overall conclusion of the article underscores the importance of establishing an integrated management system that combines the stability of KPIs with the flexibility of OKRs. The necessity for continuous improvement and adaptation of these methodologies in the context of a dynamic business environment is emphasized. In summary, the article makes a significant contribution to understanding and applying strategic management methodologies, fostering the development of modern approaches to enhancing overall business efficiency.

Pengaruh Digital Marketing, Social Media Engagement, dan Customer Trust Terhadap Loyalitas Pelanggan E-Commerce

The development of e-commerce business is increasingly influenced by modern lifestyle with changes in international activities and industries. Factors in the development of e-commerce can be caused by the increasing number of entrepreneurs in recent years, the shift from traditional businesses to digital according to needs and increasingly broad competitors. This study uses quantitative research. This study aims to determine the effect of digital marketing, social media engagement, and customer trust on E-Commerce Customer Loyalty. This study focuses on E-Commerce users in Indonesia, by applying the Non-Probability Sampling technique to determine the sample obtained as many as 120 respondents. The results of this study have found that digital marketing, social media engagement, and customer trust have an effect on e-commerce customer loyalty.

Tracing the technological trajectories of smart logistics domain based on citation analysis and topic modelling

ABSTRACT The emergence and development of intelligent technology are triggering major changes in the logistics industry, and relevant scientific and technological research on smart logistics (SL) is emerging endlessly. However, there is no research that systematically explores SL from the technological perspective. Therefore, this article selects 47,253 documents retrieved from the Derwent Innovation Index for systematic analysis and provides a comprehensive understanding of the SL domain. We combine main path analysis (MPA) and LDA topic modelling approaches to identify technological evolution trajectories. Through three main paths, the key technologies and technological evolution directions in the SL domain are revealed. Through topic identification and topic correlation calculation, global topic popularity trends and local topic evolution paths are identified. Finally, this study summarises our findings, contributions, and limitations. This is the first attempt to detect key technologies in the SL domain through MPA and topic analysis, thereby guiding relevant researchers and enterprises.

Rethinking the Effects of Smart City Implementation on Industrial Structure Change

Understanding the relationship between smart city implementation (SCI) and industrial structure change is necessary for improving SCI and achieving high-quality development of the urban economy. This study aims to comprehensively investigate how the two core SCI investments—information and communication technology (ICT) infrastructure and human capital—influence industrial structure. To this end, both SCI investments are measured using composite indexes calculated by the vertical and horizontal scatter degree method, and spatial panel models are applied using data from 156 smart cities in China from 2013 to 2019, classified according to their economic development level and population density. The results show that industrial structure upgrading produces positive spatial spillover effects and that the impacts of SCI investments on industrial structure change vary in different city classifications. Overall, ICT infrastructure promotes the upgrading of industrial structure, while human capital hinders industrial development due to human capital mismatch. Mechanism analysis shows that SCI investments can influence industrial structure through technological innovation and consumption upgrading. Moreover, policy implications are proposed to promote industrial structure upgrading for effective future SCI.

Innovative Strategies and Transformations in the Montilla–Moriles Wine-Production Area: Adaptation and Success in the Global Market

This study examines the transformative changes in the wine industry of Southern Europe over recent decades, focusing on one of Spain’s oldest Protected Designations of Origin (PDO), Montilla–Moriles. The region faced severe challenges during the second wave of globalization at the beginning of the 21st century. According to the 1999 Strategic Plan for this PDO, far-reaching strategic actions were needed; 25 years later, however, fewer than half of the original companies remain. To understand this complex issue, a qualitative analysis was conducted using case studies and in-depth interviews with key stakeholders in the sector. The paper presents several success stories featuring companies with strong dynamic capabilities: Bodegas Robles, Lagar de la Salud, and Tonelería del Sur–Casknolia. These companies were selected for their notable growth, contrary to the general industry trend, their diverse strategies, and their role in revitalizing the Montilla–Moriles wine market. Their success is attributed to a blend of traditional expertise, innovation, sustainability, and strategic internationalization. The findings of this study reveal that despite the industry’s challenges, innovative initiatives can thrive by leveraging global market opportunities.

Revolutionizing efficiency: The path to sustainable oilfield services in Indonesia's energy landscape – The case of Pertamina drilling services

PurposeThis study explores strategic and technological approaches for sustainable oil production in Indonesia, focusing on policy frameworks, eco-innovation, and supply chain resilience to align with national and global standards. It also analyzes the organizational transition of Pertamina Drilling Service Indonesia (PDSI) to better navigate industry challenges with the outcome of a framework sustainable practices. Design/methodology/approachUtilizing Soft Systems Methodology (SSM) to analyze primary qualitative data, the research examines PDSI's adaptation to depict the current business environment and challenges both domestically and globally, addressing industry demands. It focuses on operational objectives, strategic asset management, regulatory compliance, and market positioning. SSM offers a comprehensive framework for understanding and modeling the organizational changes within PDSI. FindingsThe transition to a functional organizational structure has led to enhanced operational efficiency, clearer role definition, and improved employee retention and development strategies at PDSI. The study also highlights the industry's challenges, including high risks, capital intensity, environmental concerns, and fluctuating oil prices, and how PDSI is strategically responding to these challenges. Research limitations/implicationsThe study faces limitations due to reliance on specific data sources and the inherent complexity of the oil and gas sector. However, it offers valuable insights into the dynamics of organizational change in a high-risk industry. Practical implicationsThe findings provide a roadmap for PDSI in addressing operational efficiency, human resource management, and organizational agility. This includes aligning business expansion with environmental sustainability and enhancing competitiveness through technological innovation. Social implicationsBy focusing on strategic employee development and retention, the study underscores the importance of human capital in the oil and gas industry, impacting social aspects of business operations. Originality/valueThis research contributes to the understanding of organizational transitions in the oil and gas sector. It offers a unique perspective on how PDSI can achieve sustainable growth and industry leadership through a functional organizational structure, underlined by a comprehensive framework emphasizing efficiency, adaptability, and continuous improvement.

Blockchain-enabled traceability systems for supply chain quality management: empirical insights from pharmaceutical manufacturers

PurposeThe emergence of blockchain technology has the potential to bring about transformative changes in various industries, with supply chain management being a prominent domain of application. This study investigates the strategic performance benefits of using blockchain-enabled traceability systems for improving supply chain quality management.Design/methodology/approachThe present study employed structural equation modelling to analyse data obtained from 200 practitioners working in Indian pharmaceutical companies.FindingsThe results reflect that blockchain-enabled traceability systems have a positive impact on multi-tier quality governance (MQG); supply chain process alignment and coordination (SPAC) and quality centric collaboration (QCC); all of which are the facets of supply chain quality management. Furthermore, when examining the impact of blockchain-enabled traceability systems on firm quality performance and economic performance, the mediation role of SPAC and QCC was confirmed, whereas the mediation role of MQG could not be established.Practical implicationsThe study’s empirical insights offer practical guidance for pharmaceutical manufacturers, regulators and other industry participants seeking to harness the potential of blockchain technology for creating resilient and transparent supply chains that uphold product quality and safety standards.Originality/valueThese findings underscore the significance of blockchain-enabled traceability systems in revolutionizing supply chain quality management practices to achieve superior strategic performance in the pharmaceutical sector.

Cotton Gin By-Products Utilization: Past, Present, and Future

The regional concentration of cotton gin by-products (CGB) has increased significantly over the past three decades because of the consolidation of smaller gins into larger gins. Although several studies have investigated the potential of various waste treatment/valorization technologies to improve the management of CGB, most of the technologies' economic feasibility remains a challenge. Therefore, there is a need to review the existing and emerging technologies vis-à-vis process economics and changes in the cotton ginning industry. This study reviews the published status of these existing technologies (in terms of the challenges and potentials), analyzes the prospects of some emerging waste treatment technologies for CGB, and discusses future economic and environmental sustainability directions. Where appropriate, new information from studies conducted in the U.S. and Australia is provided to support existing published data. The results show that the main limiting factors include production costs (e.g., energy and feedstock/additives costs) and logistics/supply. Additionally, the results support a solid potential for the sustainable use of CGB for various applications. However, the potential can be achieved by optimizing specific treatment processes, combining multiple processes through hybrid or integrated systems, co-treating CGB with other affordable and readily available materials (such as by-products from other agricultural operations), and improving return on investment for products developed.

THE EFFECT OF POLYPHENOL COMPOUNDS ON Ca2+-INDUCED MITOCHONDRIAL POTORAGE (mPTP) IN TOXIC HEPATITIS

As a result of the development of industrial technologies and changes in the ecological environment, various xenobiotics released into the environment are increasing. Increasing exposure to xenobiotics may lead to the development of diseases associated with toxic hepatitis (TG) in the population. The following exogenous factors can cause TG: industrial and household toxic substances, chlorinated hydrocarbons, naphthalene and biphenyls, benzene, metals and other inorganic elements, monomers used for the production of polymer materials, plastics, hydrazine and its derivatives, as well as dioxins and radionuclides. All of these exogenous toxins have a cumulative damaging effect on the liver, so they must be converted into non-toxic compounds for the body and eliminated. The main mechanisms of toxic damage to the liver are lipid peroxidation, protein denaturation, reduction of ATF, mitochondrial dysfunction, inhibition of membrane receptors.

Synthesis of Thioglycolic Acid-Modified Molybdenum Disulfide Nanosheets for Electrochemical Sensing and Its Application in Molnupiravir Detection

In the modern world, population growth, industrialization, and lifestyle changes have led to a rise in existing and new diseases, increasing global drug consumption. Proper pharmaceutical dosage is vital since drugs are only effective within specific concentration ranges. Therefore, developing reliable analytical methods for drug analysis in pharmaceuticals and biological samples is essential. Electroanalytical methods are particularly advantageous due to their low cost, ease of use, and rapid response. This study introduces a highly sensitive electrochemical sensor based on thioglycolic acid (TA)-decorated metallic phase molybdenum disulfide (MP-MoS2) nanosheets for the selective detection of molnupiravir (MOL), an antiviral drug used in Covid-19 treatment. The TA@MP-MoS2 nanomaterial was characterized using FTIR, TEM, and EIS. Screen-printed carbon electrodes (SPCE) were modified with TA@MP-MoS2 nanosheets to evaluate their electro-chemical and catalytic behaviours towards MOL by cyclic voltammetry (CV) and square wave voltammetry (SWV). The sensor displayed a well-defined electro-oxidation signal for MOL at 0.534 V, with the linear responses in two concentration ranges: 0.50–3.40 μM and 3.40–9.55 μM, and a low detection limit of 22.6 nM. The proposed design that has promising results could be an alternative strategy to fabricate the sensitive sensor for the detection of antiviral agents in real samples.

Kyrgyz Republic Tax Legislation Influence on the Local Automotive Industry Efficiency

The issue of tax regulation of the automotive industry is relevant, as in the context of a dynamically developing global economy and rapid changes in the automotive industry, the issues of tax regulation become key to the effective functioning of the industry in any country, including the Kyrgyz Republic. The study aims to identify the relationship between tax legislation and the efficiency of the automotive industry in Kyrgyzstan, considering the current challenges and trends in the industry. The study employed various methods, including analytical, statistical, functional, system analysis, deduction, synthesis and comparison. The study analysed the impact of tax legislation on the efficiency of the automotive industry in the Kyrgyz Republic. The focus was on identifying the key aspects of tax regulation that have a direct impact on various areas of industry, including the investment climate, innovation activity and overall competitiveness of enterprises. A systematic analysis of existing tax mechanisms was conducted, the current state of the automotive industry in the country was analysed, and the impact of external factors such as dependence on imports, economic stability and changes in global trends, especially in the context of the development of electric vehicles, was identified. Tax mechanisms in the automotive industry, including customs duties, excise duties, and value-added taxes (VAT) are studied. Particular attention is devoted to the changes in tax legislation introduced in 2023 aimed at exempting parts supplies from VAT. The results of the study indicate the positive impact of such measures on the efficiency of car production.

Coastal Chronicles: Journey into the World of Coastal Systems

Coastal systems are complex and dynamic settings where the atmosphere, sea, and land combine to create a variety of landscapes, including coral reefs, beaches, and estuaries. These areas contribute to global sustainability initiatives delineated in the United Nations Sustainable Development Goals (SDGs), sustain biodiversity, and play crucial ecological and economic roles. For sustainable management and protection of coastal environments, it is imperative to possess an understanding of the physical attributes, biological constituents, and mechanisms that dictate their dynamics. The natural processes of tides, waves, and currents impact the geomorphology of coastal systems, resulting in the formation of features including dunes, beaches, estuaries, and deltas. Coastal vegetation that stabilizes sediments and supports a variety of habitats, like seagrasses, mangroves, and salt marshes, further enriches these landscapes. Fish, crabs, mollusks, and birds are among the coastal fauna that flourish in these habitats and add to the diversity of coastal life. However, human activities that accelerate natural processes like erosion, accretion, and sea-level riseuch as industrialization, pollution, and climate change pose an increasing threat to coastal systems. Thus, it is essential to use sustainable management techniques that strike a balance between development objectives and conservation initiatives. Coastal ecosystems must be protected and enhanced through the implementation of policies like Integrated Coastal Zone Management (ICZM), habitat restoration, and Marine Protected Areas (MPAs). A combination of mitigation and adaptation strategies, such as building coastal fortifications and promoting nature-based solutions, are also necessary for climate change adaption. We can ensure the resilience and vitality of coastal systems for present and future generations, as well as their sustained ecological and economic significance in the global environment, by tackling these intricate concerns cooperatively and comprehensively.

The Environmental Kuznets Curve (EKC) Hypothesis on GHG emissions: analyses for transportation industry of South Africa

A series of energy-econometrics techniques were employed for a 5-year time span between 2016 and 2020. The tests of Environmental Kuznets Curve (EKC) hypothesis were conducted essentially to examine the significance of economic growth (GDP), energy consumption (EC), with energy intensity (EI), and on-road passenger vehicles (PV) as related to economic development on the mitigation of carbon emissions (CO2-eq) in the transportation industry of South Africa. The findings from the prevailing research imply that, with respect to South Africa’s transportation industry, CO2-eq emissions increased in the course of early phases of economic growth while it tends to decline at certain levels of economic threshold. Though the nation maintains the edge of turning points in both the industrial and circular economy. The results further indicate a nexus between GDP and EC, which consequently affect the CO2-eq emissions. The findings proffer the needs to monitor the EC from the long-run impacts alongside the short run impacts of the forecast. The per capita GDP from the short-run impacts of t-stat—(4.928) to the long run effects of t-stat—(5.033) rises, indicating its improper influence in the industry. To limit the use of fossil-based fuels, as demonstrated in the negative signal of EI for long-run impacts of a p-value (0.2835), then to the short run effects which possess a significant p-value. It also highlights the directional correlation surfacing between EC, EI and South Africa’s on-road PV. In the computation context, the series was determined to be stationary at its first differences, as evident by the R2 combined with the R2 (Adjusted) values of 0.9837 and 0.9827, respectively, for both long-run and short-run assessments. The indication of the research among others further reveals that public transportation systems of road and rail options, which have the potentials to incorporate alternative energy sources, can be the required efforts to mitigate climate change and global warming effects in the transportation industry.

The essence and assessment of modern industrial policy

The state of modern economy is exposed to significant challenges from geopolitical risks and transformation of the process of industrial development, which requires determining the conditions for implementing modern industrial policy and changing directions and priorities of industrial development. Improvement of the ways of production, development of the system of social institutions takes place when solving the issues related to the development of science underlying the formation of new industries. The subject of the study is the transformation of industrial policy features in modern economy at various levels of interaction between government and business. The article examines the changes in industrial development and corresponding transformation of industrial policy tools in import substitution development. The study aims at determining the relationships between the directions and levels of implementing industrial policy in accordance with system analysis and identifying the key features in the relationship between business structures and the state. The theories of industrial development and the concepts of resource and process approaches to industrial development and implementation of innovative industrial policy provide the methodological basis of the study. The study uses the methods of system analysis and synthesis in identifying the key relationships between business structures and the state in achieving the goals of industrial development. The study defines the transformation of types, tools and system of indicators of industrial policy under the sanction pressure on the economy, identifies the possibilities of using the matrix system in managing industrial development, implemented at three levels (macro-, meso- and microeconomic) in interaction of business structures and public authorities, assesses the possibility of forming and conducting conservative industrial policy in the lack of scientific research funding. The findings can be used in assessing the priorities, directions and transformation of the tools used to implement an innovative model of industrial policy in the Russian economy, in the development of import substitution and formation of new industries, to form an effective interaction of innovation process and the process of industrial development of the national economy.

Information on standardisation and standards as new indicators to forecast technological and industrial changes

ABSTRACT Product architecture changes fundamentally through the recombination of existing component technologies, as radical innovation accelerates. We analysed these structural changes in the case of the display industry. We shed light on standards information that could be new indicator to predict technological and industrial innovation. We addressed two issues. First, whether standardisation information is a leading indicator to detect and forecast technological and industrial changes. Second, whether standard information shows technological information flow signalling new technological fields. As methodology, we conducted case studies and empirical analysis using the information on standardisation and standards from the ‘activity process’ and ‘activity result’ viewpoint, respectively. As results, case studies showed a changing role from responsive to anticipatory standards by verifying that recent standardisation activities preceded the time of new product releases in world/Asian markets. We also found out that reconfiguration in the value chain that standardisation in component technologies has contributed to function technological fields. Network analysis using bibliographic information of standards revealed linkage patterns of technological knowledge flows with supporting the case studies. We propose the necessity of active participation in the standardisation process from industrial viewpoint with monitoring the industrial and technological trends. From policy viewpoint, we suggest construction and management of standards-related information system.

Measurement of new qualitative productivity kinetic energy from the perspective of digital and green collaboration--comparative study based on European countries

At present, the world is witnessing the historic convergence of a new round of scientific and technological revolution and industrial change with the transformation of the development mode, and it is strategically important and far-reaching to rapidly enhance new qualitative productivity kinetic energy (NQPKE) on the basis of the lessons learning from the experience of the pioneering countries for all countries, so as to expand the room for manoeuvre of the economic development, obtain the initiative of international competition, and realise the benign interaction of high-quality development and high-level of security. On the basis of analysing the formation mechanism of NQPKE, we characterize NQPKE by the coupling and coordination degree of digital productivity and green productivity, we analyse NQPKE by using the entropy weight TOPSIS method and the coupling and synergistic model, and analyse the spatial-temporal characteristics, steady state development and constraints of NQPKE by using the method of kernel density estimation, the Markov chain, the spatial Markov chain, and the obstacle degree model based on data from 21 European countries from 2009 to 2022. The study finds that: (1) The NQPKE shows a wave-like development trend, and the polarization or multi-polarization state of the whole and the four major regions has been slowly weakened, with a certain degree of "club convergence" and "spatial spillover"; (2) The overall situation of barriers to NQPKE is relatively stable, the insufficient investment in scientific and technological development and weak technological innovation capacity are the most critical factors constraining the NQPKE in various countries. Based on the above conclusions, the article proposes to hold high the banner of peaceful development and win-win cooperation, give full play to the "club convergence" and "spatial spillover" effects of NQPKE, accelerate the development of NQPKE adapt to local conditions, and the "digital + green" double base will stimulate technological innovation, and the construction of a digital and green synergistic management system stimulates the potential of the new quality productivity of enterprises, ultimately unleash the surging kinetic energy of new quality productivity development.

Design of software system architecture for reading and publishing amateur literary works

The article discusses the functionality and key requirements for a web application for reading and publishing amateur literary works. Against the backdrop of current changes in the book industry caused by the development of technology and the emergence of self-publishing, the need to create platforms that provide authors with the opportunity to publish content independently is emphasized. One of the main problems that authors face when publishing is the loss of the original formatting of their works when transferring them to text editors on web platforms. This paper proposes a solution to this problem by developing a web application with the function of importing the content of text files while preserving their original formatting. The article also contains a comparative analysis of popular web-based platforms for publishing works, such as Archive of Our Own, Wattpad, and Arkush, which helped to highlight the advantages and disadvantages of each of them. In particular, the difficulties associated with storing and processing unstructured data, such as images and text files, were investigated. To solve the problem of storing such data, a comparative analysis of three approaches was conducted: storing data in relational databases, local file systems, and cloud storage. Taking into account the results of this analysis, the web application under development was chosen to integrate with the Amazon Web Services cloud provider and use Amazon S3 cloud storage, which provides scalability, reliability, and convenience in managing large amounts of unstructured data. It was also decided to use the Amazon CloudFront CDN service to improve the speed of data access and increase overall system performance. In addition, the article describes the choice of a technology stack for implementing the web application, which includes Java, Spring Framework, MySQL, ORM Hibernate for the server side and HTML, CSS, React.js for the client side. The article highlights important aspects of designing a web application architecture aimed at scalability and resilience to large amounts of data and an increase in the number of active users, and provides a basis for further system improvement.

Multivariate VAR system of regional economic growth under big data

Traditional research has problems such as limited data samples, limited variable selection, and insufficient real-time analysis capabilities. With the advent of the big data era, researchers are increasingly using big data analysis to discover the laws of development. This paper combines the VAR system with big data analysis technology to study regional economic growth variables, simulate economic changes in region A, and use the Markov chain Monte Carlo algorithm and historical simulation method to analyze the process of industrial change. The model accuracy of the two algorithms is evaluated by the historical data observation loss value of the VAR post-test. The results show that at a confidence level of 0.95, the risk prediction of the historical simulation method is more accurate. The study also found that adding additional variables to the VAR system will lead to model information loss and an increase in parameters.