Ability Of Industry Research Articles

Revolutionising the ready-made garments firms in Bangladesh: strategies for transformative change towards sustainable product innovation

ABSTRACT Ready-Made Garments (RMG) firms, particularly in developing economies such as Bangladesh, struggles to integrate sustainability into its operations and product innovation. Limited supportive policies and institutions exacerbate this challenge, hindering the industry's ability to produce high-standard and globally competitive sustainable products. Drawing on case studies of Bangladesh’s RMG firms, this qualitative paper aims to identify potential strategies and commitments to drive transformative change in the RMG firms towards sustainable product innovation. It addresses the main questions on the drivers of transformative change in sustainable product innovation, as well as firm leadership responses to sustainable development. Key findings from key informant interviews (KII) and focus group discussions (FGD) indicate drivers and strategies for transformative change towards sustainable product innovation in five dimensions: sustainability practices, market demands, firms’ commitments and initiatives, policy and regulatory framework, and technology and innovation. The findings of the paper highlights policy insights and leadership roles that contribute to a comprehensive understanding of the crucial factors and guidelines for initiating transformative changes in the RMG firms towards sustainable products. Also, a framework with insights from stakeholders is developed based on the findings to provide leadership guidance and recommendations for companies in the RMG sector and other related industries.

The Impact Of Human Resource Information Systems And Artificial Intelligence On Defense Industry Performance

The purpose of this research is to investigate how HRIS and AI have influenced the productivity of the military sector in this era of disruption. This inquiry will use a quantitative approach to its methods. The sample pool consisted of one hundred fifty persons who were employed in the military industry. As the main form of data collecting, we will be sending out questionnaires to all of the participants. A Likert scale is provided in the questionnaire, and it is used to assign ratings to the various pieces of information. In order to do an analysis on the data, structured equation modeling in SmartPLS 3.0 was used. In this research, the variable known as "employee performance" acts as the dependent variable, while the variables known as "HRIS" and "work satisfaction" serve as the independent variables. The significance level that was discovered in the data analysis for this research provides evidence in support of the hypothesis that HRIS has a beneficial effect on productivity in the workplace. The HRIS program will be more precise, exact, and comprehensive to the extent that the employee's performance on work assignments is higher. Improving the defense industry's ability to make intelligent decisions about its human resource allocations by implementing methodical HRIS procedures, such as the collection, storage, maintenance, retrieval, and validation of data. Plans for the strategic use of information technology may have an impact on the future direction of the military industry by modifying both the extent to which human resources are used and the depth to which individuals comprehend the context in which they operate. There is a correlation between the use of artificial intelligence (AI) in the workplace and increased levels of productivity

An Exploration of Technological Innovations in the Audit Industry: Disruption Theory Applied to a Regulated Industry*

ABSTRACTTechnological innovation is increasing throughout the audit industry. Although prior research has explored how specific technological innovations have influenced the audit product and the profitability of the audit, the strategic implications of technological innovation for the audit industry have yet to be examined. To address this issue, we adopt Christensen's seminal theory of technological innovation (introduced in his 1997 book The Innovator's Dilemma) to gain insight into the results of 27 semistructured interviews with auditors and audit technical specialists. Consistent with Christensen's sustaining and efficiency strategic responses, our findings suggest that, at this time, technology is primarily being used by the audit industry to strengthen the audit industry's ability to serve mainstream clients by providing a “higher‐quality” and lower‐cost audit to replace menial tasks that historically have been done by junior auditors. We find that industry‐disruptive new market entry is currently prevented by regulatory and professional barriers; however, strategic disruption to the audit industry appears inevitable as technology is already being used in audits of nonregulated markets by new entrants. Strategically, the audit industry will survive in its current recognizable form only if self‐disruption occurs before the regulatory barriers are dropped, which requires significant upskilling in the industry to ensure that firms have the skills to be first movers whenever technological innovations are introduced.

Performance evaluation of Indonesia's large and medium-sized industries using Data Envelopment Analysis method

Performance evaluation is essential for an industry's ability to operate successfully. Efficiency management is becoming crucial and important to enhancing the sustainability of the industry. The industry needs to measure its performance for the following reasons: (i) develop the economy and its operation efficiency in a sustainable way; (ii) supply data for decision-making units (DMUs); and (iii) optimize output using the fewest resources. Performance measurement indicators relate to the performance of the industry itself, such as: added value/cost of production factors, indirect taxes, number of workers, input costs, number of companies, added value/market prices, and production index. The purpose of this research is to measure the performance of large and medium-sized industries (LMIs) in Indonesia. LMIs have a strategic role as the main engine and driver of the economy. Measuring LMI performance is very necessary so that LMI can grow and develop sustainably. Data envelopment analysis (DEA) is a method for measuring performance. DEA is a non-parametric linear programming technique and used to determine comparisons between DMUs with different inputs and outputs. The research results indicate that there are three DMU classification categories, namely: Category 1 (ES = 1), Category 2 (ES = 0.9986-0.9998), and Category 3 (ES = 0.9971-0.9974). The percentages for each category are 50%, 37.5%, and 12.5%.

The Role of Leadership Strategy in Facing Blockchain Technology in the Defense Industry in Indonesia

The development of a robust defense industry is crucial for national security, requiring a balance between nationalism, strategic leadership, and the integration of cutting-edge technologies such as blockchain. This paper explores the significance of blockchain in revolutionizing the Indonesian defense industry, emphasizing its potential to enhance transparency, accountability, security, and efficiency. The research employs descriptive qualitative methods, utilizing diaries, literature reviews, and various references. The leadership strategy for effective blockchain integration is outlined, including a clear vision, understanding of blockchain technology, proper implementation, leader commitment, and adaptability. The defense industry's ability to adapt to evolving blockchain technology is emphasized, requiring a competent team and a culture supporting innovation. Leadership strategies are further detailed, emphasizing the importance of research and development, partnerships with other industries, and socialization and education to stakeholders. These strategies aim to increase competence, accelerate development, enhance collaboration, and build trust in blockchain technology within the defense industry

Enhancing Indonesian coffee trade: Strategies for navigating and reducing trade barriers

This study scrutinizes the intricate relationship between production technology advancements and price reactions in the Robusta and Arabica commodities and their collective influence on profitability exploring the relationship between market and policy dynamics and the coffee industry in Indonesia. This study delves into the intricate interplay between market dynamics, policy interventions and technological advancements within the Robusta and Arabica coffee commodities in Indonesia. It employs a historical simulation to scrutinize the multifaceted relationship between production technology advancements, price reactions and their collective influence on the profitability of coffee cultivation in the region from 2008 to 2020. Our research reveals a striking discrepancy between the expansion of coffee cultivation due to technological progress and the delayed price reactions within the Indonesian coffee industry. The industry faces challenges in translating these advancements into immediate profitability for growers despite significant strides in production technology. The study further dissects the role of governmental interventions, such as subsidies in shaping production outcomes and market responses. High bank interest rates emerge as a significant hindrance to industry growth, exacerbating the profitability dilemma faced by coffee growers. Furthermore, the export price elasticity of Robusta coffee exhibits limitations, raising questions about the industry's ability to harness its potential in global markets despite increased production volumes. Our findings underscore the industry's acute sensitivity to policy alterations highlighting the urgent need for strategic reforms targeting high bank interest rates and the expansion of market opportunities. We advocate for comprehensive research efforts that encompass a broader spectrum of variables to yield deeper insights into the complexities of the Indonesian coffee sector.

Balancing clean and quality production goals: A multi-analytical approach to scrutinizing the influencing factors in China's manufacturing industry

Under the strategies of "high-quality development" and "dual carbon goals", the manufacturing industry in China is confronted with the simultaneous challenges of ensuring the production of high-quality goods and adopting environmentally friendly production practices. The integration of cleaner production and quality management has received widespread attention; however, existing research cannot comprehensively identify the interactive factors between quality management and cleaner production and analyze their mechanism of action. This research employed a multi-faceted approach involving meetings, interviews, and online data to access primary materials, and complemented by grounded theory and quality tool (5M1E), a total of 18 quality factors that exert a substantial impact on the attainment of clean production objectives were ultimately identified. To meticulously assess the interrelationships among factors, this study employed the interval value hesitant preference relationship DEMATEL-AISM technique. The findings of the study emphasize the significance of Employee Quality Skill Level (F1) and Production Environment Quality (F15) as critical quality factors that should be given priority and careful consideration by managers aiming for a cleaner production process. The results of this study have the potential to enhance the manufacturing industry's ability to predict and prevent quality and environmental issues, thereby ensuring the long-term sustainability of clean production and effective quality management.

Big data analytics in the financial services industry: Trends, challenges, and future prospects: A review

This paper provides a comprehensive review of the evolving role of big data analytics within the financial services industry, highlighting current trends, inherent challenges, and future prospects. The objective is to synthesize existing research and practices to understand how big data analytics is transforming financial services, including banking, insurance, and investment sectors. Through a systematic examination of peer-reviewed articles, industry reports, and case studies, the research methodology encompasses both qualitative and quantitative analyses to offer insights into the adoption, implementation, and impact of big data analytics. Key findings reveal that big data analytics is pivotal in driving innovation, enhancing customer experiences, and improving operational efficiency in financial services. It plays a critical role in risk management, fraud detection, personalized financial advice, and algorithmic trading, among other areas. However, the industry faces significant challenges, including data privacy concerns, regulatory compliance, technological infrastructure requirements, and the need for skilled professionals. The paper concludes that while big data analytics offers substantial opportunities for the financial services industry, realizing its full potential requires addressing existing challenges through strategic investments in technology, human capital, and data governance. The future prospects of big data analytics in financial services are promising, contingent upon the industry's ability to adapt to rapid technological advancements and evolving regulatory landscapes. This review underscores the importance of continued research and collaboration between industry stakeholders to leverage big data analytics for sustainable growth and competitiveness.

Mining Sector in South Africa: An Individual Perception on Open Strategy

This study aimed to investigate a positive approach to mining innovation and growth, as well as the effectiveness of open strategy as a practical solution to strategic management in South Africa. Through mixed-method research design, both qualitative and quantitative data analysis were performed using NVivo and SPSS software. The sampling frame included 20 interviews with highly knowledgeable participants and 205 online survey responses collected from participants established in medium to large size mining companies, shareholders, government /DMRE (Department of Mineral resources and Energy), MCSA (Mineral Council of South Africa), mines employees. The findings revealed that there was a statistically significant positive correlation between mining employee engagement and perceived advantages of open strategy (p<0.01), stakeholders' and workers' perspectives on open strategy, and how it may create transparency among them. Perceptions of open strategy have a significant association with the mining industry's ability for economic growth and job creation, as well as its relevance in ensuring organizational continuity. Many mines are ‘spreadsheet’ wealth driven. Most of which started with a plan and then been drawn into operational minutiae for the drive of self-sustaining operations-driven cash flow and losing sight of the strategic imperatives, with no or little reference to employee insights let alone anyone outside the organization. The open strategy calls on and seeks outside influence. Conclusively, this study gave relevant evidence that the mining industry should adopt an open strategy to increase worker participation, success, and economic growth while reducing false assumptions.

DESIGN MANAGEMENT AND PRESERVATION OF JEPARA CARVED FURNITURE

This research examines the role of design management in preserving Jepara carved furniture, which has historical and cultural value, but faces the challenge of adapting to global market dynamics. The research uses qualitative methods with a design management study approach. This study aims to explore how design management practices can be used to respond to these challenges while maintaining the richness of local culture. Through in-depth interviews, field observations, and using selected case studies, this research maps the current landscape of the Jepara carved furniture industry, identifies the main challenges faced by craftsmen and managers, and understands the opportunities that can be developed through the application of design management. The research results show that there is a gap between the traditional practice of making carved furniture and the need for design adaptations that are responsive to global market trends. In addition, this research also found that the lack of an integrated design management strategy limits the Jepara carved furniture industry's ability to innovate and compete. Based on these findings, this research proposes a design management framework that combines innovation strategies, interdisciplinary collaboration between designers and craftspeople, and effective marketing and distribution. The conclusion of this research emphasizes the importance of integrating design management in the Jepara carved furniture industry as a strategy for conservation. The implementation of effective design management is expected to inspire innovation, strengthen cultural identity, and pave the way for wider international recognition of Jepara carved furniture.

IDENTIFYING THE BALANCE BETWEEN FINANCIAL REWARDS AND NON- FINANCIALREWARDS TO RETAIN TALENT MEDIATED BY MOTIVATION IN MALDIVES ELECTRICITY INDUSTRY.

This study investigates the variables affecting the Maldives electricity industry's ability to retain talent. Talent has notyetbeen given a uniformdefinition. According to the organisation and the services they offer to customers, talents are defined.Employees who have the knowledge, skills, and performance to strategically contribute to the organization’s goals andobjectives are referred to as having talents.The issues raised in this article include the gap between motivation and rewards caused by the dearth of availableliterature, the academic gap discovered in recognising the balance between financial rewards and non-financial rewardsto retain talent in various industries, and the paucity of literature pertaining to the relationship between motivation andtalent retention. The purpose of this study is to address the mentioned issues. This study is focused in the cities of MaldivesElectricity industry.EFA, CR, AVE, Cronbach's Alpha, CFA, and the Sobel test were all performed during the data analysis stage. 298 sampleswere used in this study to analyse. This study added to the body of knowledge on talent retention and revealed freshresearch directions.The findings of this study enhanced the model of talent retention. Some results were at odds with thebody of knowledge, which elevated the study's stature and the body of knowledge.

Digital Twin Fundamentals of mRNA In Vitro Transcription in Variable Scale Toward Autonomous Operation.

The COVID-19 pandemic caused the rapid development of mRNA (messenger ribonucleic acid) vaccines and new RNA-based therapeutic methods. However, the approval rate for candidates has the potential to be increased, with a significant number failing so far due to efficacy, safety, and manufacturing deficiencies, hindering equitable vaccine distribution during pandemics. This study focuses on optimizing the production of mRNA, a critical component of mRNA-based vaccines, using a scalable machine by investigating the key mechanisms of mRNA in vitro transcription. First, kinetic parameters for the mRNA production process were determined. The validity of the determination and the robustness of the model are demonstrated by predicting different reactions with and without substrate limitations as well as different transcripts. The optimized reaction conditions, including temperature, urea concentration, and concentration of reaction-enhancing additives, resulted in a 55% increase in mRNA yield with a 33% reduction in truncated mRNA. Additionally, the feasibility of a segmented flow approach allowed for high-throughput screening (HTS), enabling the production of 20 vaccine candidates within a short time frame, representing a 10-fold increase in productivity, compared to nonsegmented reactions limited by the residence time in the plug flow reactor. The findings presented for the first time here contribute to the development of a fully continuous and efficient manufacturing process for mRNA and other cell and gene therapy drugs/vaccine candidates as presented in our previous work, which discussed the integration of process analytical technologies and predictive process models in a Biopharma 4.0 facility to enable the production of clinical and large-scale doses, ensuring a rapid and resilient supply of critical therapeutics. The results in this study especially highlight that the same machine and equipment can be used for screening and manufacturing different drug candidates in continuous operation. By streamlining production and adhering to quality standards, this approach enhances the industry's ability to respond swiftly to pandemics and public health emergencies, addressing the urgent need for accessible and effective vaccines.

Analisis Pengaruh Return On Equity Dan Net Profit Margin Terhadap Return Saham

The profitability ratio is used as a benchmark in determining stock returns, because the profitability ratio is a ratio that measures how efficiently a company uses its assets and manages its operations. The higher the profit generated, the higher the stock return that investors will get. Included in this ratio are ROE (Return on Equity) and NPM (Net Profit Margin). The design of this research is a Literature Review or literature review. ROE is often referred to as profitability of own capital. This amount is obtained by dividing net profit after tax by total capital. A high ROE number shows the industry's ability to generate profits for shareholders. On the other hand, a high level of profitability will cause less external funds to be used. Companies with high profitability will have large internal funds. An increase in ROE increases the company's sales value, which has an impact on share prices. These two factors have a positive influence on stock returns, which means companies with high ROE and net profit margin tend to have higher stock returns. Therefore, investors can consider ROE and net profit margin as indicators of company performance that can influence stock returns when choosing investments.

Does strategic agility and innovation capability have an impact on firm performance? A study on the Indonesian motorcycle industry

Agility and innovation are two of the most important capabilities that organizations have to deal with in disruptive environments. This research aims to examine the effect of strategic agility and innovation capability on firm performance in the Indonesian motorcycle industry. The research was conducted on 208 companies comprising both OEM (original equipment manufacturer) and tier 1 component suppliers in the supply chain of the Indonesian motorcycle industry. The validity was tested using the content, construct and convergent validity tests, the construct reliability was tested using the one-shot measure reliability test, and the hypothesis testing was carried out using structural equation modeling. The results show that innovation capability has a significant direct effect on strategic agility and firm performance, but in contrast to previous research findings, strategic agility does not have a significant direct effect on firm performance. In addition, strategic agility does not mediate the relationship between innovation capability and firm performance. These findings provide practical guidelines for the motorcycle industry in Indonesia to focus on developing innovation capabilities, particularly process innovation, which is related to the industry's ability to manufacture products at a lower cost and become a pioneer of the latest technology in its field. In the current conditions, companies are advised to focus more on other types of agility, such as operational or supply chain agility rather than strategic agility.

The fate of quinolizidine alkaloids during the processing of lupins (Lupinus spp.) for human consumption.

Lupin, a protein-rich grain legume, and products thereof, are becoming increasingly important in our diets. However, variable and high concentrations of quinolizidine alkaloids (QAs) may hamper this evolution. This study assessed the fate of QAs when processing Lupinus albus seeds and lupin-based foods, to give a first indication of the food industry's ability to sufficiently reduce the QA concentration. Typical unit processes, including toasting, dehulling, sterilization (sterilized jarred lupins), oven baking (cookies), frying (chips) and boiling in water (pasta), were simulated on lab-scale. A quantitative determination of five QAs and qualitative screening of other relevant QAs, in the derived fractions and lupin-based foods, was performed with a validated UHPLC-MS/MS and -HRMS method, respectively. Results revealed that the reduction in quinolizidine alkaloid content is highly dependent on the applied unit process, that QAs appear to be heat stabile, and that the depletion can be attributed to the leaching in cooking water.

Health Recommendation System using Deep Learning-based Collaborative Filtering

The crucial aspect of the medical sector is healthcare in today's modern society. To analyze a massive quantity of medical information, a medical system is necessary to gain additional perspectives and facilitate prediction and diagnosis. This device should be intelligent enough to analyze a patient's state of health through social activities, individual health information, and behavior analysis. The Health Recommendation System (HRS) has become an essential mechanism for medical care. In this sense, efficient healthcare networks are critical for medical decision-making processes. The fundamental purpose is to maintain that sensitive information can be shared only at the right moment while guaranteeing the effectiveness of data, authenticity, security, and legal concerns. As some people use social media to recognize their medical problems, healthcare recommendation systems need to generate findings like diagnosis recommendations, medical insurance, medical passageway-based care strategies, and homeopathic remedies associated with a patient's health status. New studies aimed at the use of vast numbers of health information by integrating multidisciplinary data from various sources are addressed, which also decreases the burden and health care costs. This article presents a recommended intelligent HRS using the deep learning system of the Restricted Boltzmann Machine (RBM)-Coevolutionary Neural Network (CNN) that provides insights on how data mining techniques could be used to introduce an efficient and effective health recommendation systems engine and highlights the pharmaceutical industry's ability to translate from either a conventional scenario towards a more personalized. We developed our proposed system using TensorFlow and Python. We evaluate the suggested method's performance using distinct error quantities compared to alternative methods using the health care dataset. Furthermore, the suggested approach's accuracy, precision, recall, and F-measure were compared with the current methods.

Enhancing supply chain efficiency: a holistic examination of hybrid forecasting models employing mode and PERT technique as deterministic factors

ABSTRACT Inaccurate forecasts can cause severe financial consequences and disrupt supply chain operations for organisations. This study focuses on the pharmaceutical industry, renowned for its complex supply chain and diverse data attributes. It proposes a novel approach to identify the optimal combination of demand forecasting models that enhance accuracy by leveraging deterministic factors using Mode and PERT. By refining model selection in the pharmaceutical industry, this research aims to improve both forecasting precision and supply chain efficiency. A four-level framework based on deterministic factors is proposed to evaluate the extent of hybrid modelling in demand forecasting, empowering practitioners to make informed decisions even in challenging circumstances. The findings offer decision-makers flexibility in selecting suitable forecasting models and assist in tailoring methods to specific conditions. Furthermore, this research highlights the industry's ability to leverage digital technologies and transform existing forecasting methodologies, ensuring uninterrupted business operations during disruptions such as the COVID-19 pandemic.

The Impact of Work-Life Balance on Job Performance and Job Satisfaction among Healthcare Professionals in Malaysia

The ideas and methods of human resource management (HRM) have evolved in the modern era to incorporate the promotion of a healthy work-life balance (WLB). Flexible scheduling and encouraging management are two examples of these methods. Work-life balance (WLB) strategies have had a considerable effect on the recruitment, retention, motivation, and growth of the workforce. This research examines the effects of WLB policies and practices on the productivity of medical professionals in East Malaysia. The relationship between work-life balance practices and employees' productivity is explored, as is the function of job satisfaction as a moderator. For this research, questionnaires were sent out to 586 medical professionals in the East Malaysian states of Sabah and Sarawak during the 2021 and 2022 school years. Four hypotheses were tested using indicators of job happiness and productivity in addition to validated measures of work-life balance practices like flexible working hours and supportive supervision. The study's findings suggest that allowing employees more freedom over their schedules and providing them with more encouraging leadership can have a significant and positive effect on productivity on the job. Job satisfaction acts as a moderator between the positive effects of work-life balance policies like flexible scheduling and supportive management on employee productivity. Improving job happiness and, by extension, performance and productivity can be achieved through the use of effective work-life balance strategies. The study's primary goal is to inform efforts to improve Malaysia's healthcare industry's ability to recruit, retain, and inspire its medical professionals.

Digital transformation in construction – a review

Digital transformation (DT) is expected to contribute to the construction industry's ability to meet climate and sustainable challenges and increase companies' productivity. This study aims to explore requirements for, and factors affecting DT in the construction industry. This research goes beyond the technology perspective and focus on factors needed to transform the potential of digitalisation to benefits for organisations in the construction industry. A structured literature review is performed where knowledge gaps are identified, and a framework is developed that maps the required changes, as well as the associated challenges, constraints, and implications. The construction industry´s business-to-business logic, and the fragmented and project-based structure is found to have impact on the industry´s development within DT. Mainly regarding the DT aspects disruption, structural changes, organisational barriers, and the central aspect value creation. The understanding of DT by scholars and practitioners in the construction industry is found immature and this calls for further research. The research contributes to understanding of the concept DT and proposes, based on earlier DT literature, an adjusted framework for DT in construction, and points out key areas where research in construction has gaps to fill.

The variables with the greatest influence on ATM safety barriers

Due to the high level of safety achieved in ATM, relatively little data is available on negative safety outcomes. For this reason, the current knowledge of the determinants of the occurrence of loss of separation incidents between aircraft is limited, as is the industry's current ability to predict them.For this reason, a predictive methodology was developed with the aim of characterising safety in airspace between en-route aircraft and to enable the identification of the most influential factors in terms of Separation Minima Infringements (SMI). For this purpose, Bayesian Networks were selected for their high predictive capacity to estimate low probability events and for allowing the integration of knowledge modelling with data inference. Thus, a conceptual framework was established to integrate the current knowledge available on causality and SMI precursors with the hindsight derived from the analysis of the type of data available.The main objective of this paper is to perform a sensitivity analysis on the model with the intention of drawing conclusions about the most influential variables in the possible breach of ATM safety barriers that could lead to the occurrence of a SMI.