Business Demands Research Articles

BUSINESS INTELLIGENCE: TOMADA DE DECISÃO PARA MICROEMPRESÁRIOS, UMA IDEIA REVOLUCIONÁRIA PARA ALCANÇAR O SUCESSO

With the world economy and international trade increasingly integrated and diffuse. Companies find a competitive rivalry between competitors, and having good quantitative and qualitative methods for making decisions are some performance indicators. From small organizations to large multinationals in the world, they continually seek a predictable and profitable future scenario. So that they can control or anticipate any eventualities. In the commercial market there is a growing search by organizations for more information and data to assist in decision making. On the other hand, there is an increase in Information Technology (IT) tools, capable of managing, analyzing, generating reports and decisive graphics for decision making (whether for investments; purchases; contracting services; projects and events). Business Intelligence (BI) decision making is accurate, and its information (dice + evidence = strategic decision), based on dynamic statistical data and its environment meets business demands. Implementation project managers, both in BI and ERP, need to be aware of the impact of these systems, otherwise the implementation will fail, as in the Hershey’s case study. The benefits that ERP

BUSINESS INTELLIGENCE: TOMADA DE DECISÃO PARA MICROEMPRESÁRIOS, UMA IDEIA REVOLUCIONÁRIA PARA ALCANÇAR O SUCESSO

With the world economy and international trade increasingly integrated and diffuse. Companies find a competitive rivalry between competitors, and having good quantitative and qualitative methods for making decisions are some performance indicators. From small organizations to large multinationals in the world, they continually seek a predictable and profitable future scenario. So that they can control or anticipate any eventualities. In the commercial market there is a growing search by organizations for more information and data to assist in decision making. On the other hand, there is an increase in Information Technology (IT) tools, capable of managing, analyzing, generating reports and decisive graphics for decision making (whether for investments; purchases; contracting services; projects and events). Business Intelligence (BI) decision making is accurate, and its information (dice + evidence = strategic decision), based on dynamic statistical data and its environment meets business demands. Implementation project managers, both in BI and ERP, need to be aware of the impact of these systems, otherwise the implementation will fail, as in the Hershey’s case study. The benefits that ERP and BI systems bring are numerous and the results are reflected positively within the

Future of Universities in the Face of Technological and Educational Challenges

In recent years, the situation of education has changed drastically and especially at the higher and university level. This factor is a consequence of technological development, the needs of the new generations and business demands. Thus, the research question that guides this study arises: How can universities adapt to provide an education that responds to these requirements? To this end, an exploratory documentary research is developed on the future of universities, and quantitative instruments are applied to know the perception of the future of universities by both teachers and students who belong to prominent universities in Ecuador. The results reflect that, in the coming decades, universities will be transformed, driven by advanced technologies, the demand for personalized and flexible education, and a greater link with the labor market and sustainability. This evolution will not only improve the quality and accessibility of higher education, but will also prepare students to meet the challenges of the future.

Optimization of Warehouse Operations for Upstream Service Companies in the Oil & Gas Industry: A Case Study of XYZ Company

The oil and gas (O&G) sector drives various parts of Malaysia's economy and accounts for 19% of government revenue in 2021. The volatility of oil prices and the COVID-19 pandemic problem in recent years has taught O&G enterprises, especially upstream players, to focus on business needs and employ cost optimization techniques to compete and survive uncertain circumstances. This study seeks to analyze and describe the warehouse operations setup of an onshore supply base service organization that manages and maintains offshore O&G facilities. This study examines space utilization variables from several supply chain perspectives, particularly operations performance. Semi-structured interviews, site observations, and documentation review are used to collect data for the single-case study. The study findings suggest the organization under study has a basic warehouse setup with lean operations staff to complete business functions. In general, the warehouse arrangement for the organization under investigation is comparable to a distribution center, where 70% of warehouse activities comprise, material receiving, handling, and distribution (loading) to several offshore locations. Findings also showed that two factors, namely: material handling flow and movement, and inventory movement affect warehouse space utilization. The volume of material handled by the warehouse based on business demand, as well as the seasonal trend from offshore activities contribute to the frequency of material loading and impact the material throughput and transit time, which were found to have an impact on space utilization too.

Transcend local for global: ESG as a legitimacy signal in the global expansion of emerging multinational enterprises

Emerging market multinational enterprises (EMNEs) are under increasing pressure to demonstrate robust environmental, social, and governance (ESG) as they expand globally. However, existing research has not thoroughly examined the theoretical relationship between ESG disclosure and the degree of internationalisation of EMNEs. This study addresses this gap by integrating institutional and signalling theories, revealing that superior ESG is positively associated with higher levels of EMNE internationalisation. This relationship is mediated by international financing capabilities and moderated by media attention. The study demonstrates that strategic initiatives related to ESG disclosure can serve as signals of legitimacy for EMNEs navigating institutional complexities on a global scale. These findings are supported by an empirical analysis of panel data from 2011 to 2020, providing theoretical insights into ESG signalling mechanisms. Practically, proactive ESG strategies can offer a competitive advantage for EMNEs as they manage complex foreign expansions amidst growing demands for responsible business conduct.

An Effective Opinion Mining-Based K-Nearest Neighbours Algorithm for Predicting Human Resource Demand in Business

The process of estimating and preparing for an association's future supply and management of human resources is known as human resource planning (HRP). It is a significant section of directorial development. This study suggested a novel technique to HRP demand forecasting using the Modified K-nearest neighbor (M-KNN) algorithm. M-KNN is machine learning (ML) algorithms that locate the k major comparable data sample to a new information sample and uses those data sample to forecast the value of the new sample. We generate an HR order estimate pointer organization consisting of variables that pressure HR order such as market share, sales volume, and economic conditions. We use M-KNN to find the k most similar data samples to each data point in the display organization and use those data samples to predict HR command. We assessed our M-KNN algorithm using data from a actual association and find that it can correctly forecast HR command with an fault speed of less than 5%. M-KNN is a talented advance to HRP command forecasting as it is easy to use, does not necessitate a lot of data, and can exactly predict HR command in the attendance of non-linearity and haziness.

Two-timescale joint service caching and resource allocation for task offloading with edge–cloud cooperation

Task offloading with edge–cloud cooperation has emerged as a pivotal solution for meeting the intricate array of application coupled with dynamically evolving business demand in 6G business scenarios, such as traffic sensing, environmental monitoring, and video surveillance in smart cities. Nonetheless, effectively leveraging heterogeneous edge–cloud network resources for effective task offloading presents substantial challenges. Additionally, the inherent differences in system decision cycles escalate the complexity of the task offloading problem to a new dimension. In this study, we delve into a two-timescale joint service caching and resource allocation optimization for task offloading within edge–cloud cooperation aiming to maximize long-term network performance while adhering to energy constraints. We propose a novel edge–cloud cooperation task offloading scheme that supports both edge–cloud and edge–edge cooperation to effectively balance the edge–cloud and edge–edge loads, promoting the efficient co-utilization of all edge–cloud system resources. Furthermore, we devise an online two-timescale Lyapunov-based joint optimization framework for service caching, task offloading, and computing resource allocation. Our two-timescale decision-making framework can flexibly accommodate the inherent differences in the sensitive decision optimization periods, thereby mitigating the degradation of task offloading performance caused by frequent service caching updates. Finally, theoretical analysis confirms that our proposed algorithm can converge to an approximate optimal solution in polynomial time, and the superiority of our scheme is validated by extensive simulation experiments.

Implementing Agile Methodologies in Data Warehouse Projects

Agile techniques have transformed project management and software development by stressing flexibility, collaboration, and customer-centricity. Data warehouse initiatives have traditionally used a waterfall methodology, which may delay, cost more, and misalign with business needs. Agile techniques are applied to data warehouse projects in this article, examining their pros and cons. The study starts with Agile fundamentals including iterative development, incremental delivery, and adaptive planning. It compares these concepts with the linear, sequential waterfall approach employed in data warehousing. Agile approaches like Scrum or Kanban may help data warehouse projects adapt to changing business demands and improve results. The report recommends creating cross-functional Agile teams with data administration, analytical, and development competence to execute Agile in data warehouses. Collaborative teams encourage communication and feedback loops. Sprints, stand-ups, and retrospectives help data warehousing teams make quick changes and meet business goals, according to the report.

Are you game? Health Gamification during disruptions due to the pandemic for sustainability

The new normal has transformed IT company employees' working styles and patterns to accommodate changing business demands. It brings back the attention required for self-health, and the pandemic has demonstrated the importance of Health. The prominence of Gamification and its adaptation is growing in the education and learning industries. This research paper aims to study, analyze, and understand users' intention to use gamified health monitoring tools or applications with emerging health disruptions in the post-pandemic era. The study gathered data from Indian users as the primary source, where the participants' backgrounds were from Information Technology (IT) companies, and the survey gathered 185 responses online from Gen Z women. This study shows a significant association between the gamified engagement approach and user intention to engage. Considering the ongoing business uncertainty and growing work-from-home hours for IT employees, disruption may persist while creating the need for gamified health engagement.

Analyzing the Influential Factors of Valuation: A Case Study on Taiwan Semiconductor Manufacturing Company

During the Artificial Intelligence (AI) revolution, the semiconductor industry saw unprecedented demand, driven mostly by the need for more powerful computational technology. This study examines the value impact of AI breakthroughs on Taiwan Semiconductor Manufacturing Company (TSMC) using a rigorous Discounted Cash Flow (DCF) analysis. With AI technologies largely driving demand in the semiconductor business, this study adapts classic financial modeling approaches to capture the subtle implications of technical advancements on firm valuation. Using substantial financial data from TSMC, the research modifies growth rates to reflect AI-driven market potential, while also incorporating cautious forecasts to allow for industry volatility. The findings indicate that the market may undervalue TSMC, implying an upbeat forecast for the firm in the middle of the AI boom. The research contributes to financial academic knowledge by illustrating the use of DCF to evaluate technology influences on business values, providing important insights for investors and corporate strategists. Future refinements to the DCF model are proposed, with an emphasis on incorporating dynamic market data and policy effect research to improve investment assessments in technology.

Emerging Partnerships of SDGs and HRM Practices During the Pandemic: A Study of the Indian IT Industry

Post-pandemic, the world of work has changed, and the pandemic has accelerated the responsible business agenda, representing a huge opportunity for the human-centric approach to HRM to transform the world of work. The drive towards responsible and sustainable business demands a new way of thinking, and the old conventional thinking approach addressing piece-meal solutions is an approach of the past. The human resource management (HRM) practices of multinational corporation (MNC) subsidiaries in India in the IT sector are studied within an institutional theory framework to look at how MNCs operating in India are incorporating the Sustainable Development Goals (SDGs). Applying the tenets of DiMaggio and Powell’s (1983) work, we understand that an MNC subsidiary located in India will be influenced by both potentially contradictory pulls from institutional factors in the local environment and international isomorphic processes. With a qualitative approach and primary data collected via in-depth interviews with 52 HR professionals (including host and subsidiaries) from 8 MNCs, our findings indicate that the subsidiaries based in India are mostly adopting the pattern exhibited by larger organizations in their environment that are viewed as successful (mimetic isomorphism) in implementing the SDGs. There is still a huge scope for improvement in these subsidiaries in terms of investing in people’s capabilities for future sustainable work. The research contributes to the bourgeoning literature on HRM practices and how MNC subsidiaries operate in different contexts and cultural settings in the IT sector.

INVESTIGATION OF BUSINESS AND CULTURE-ART TOURISM DEMAND SOURCED FROM INTERNATIONAL AUCTION HOUSES

This study aims to investigate the impact of auction houses on the demand for business and cultural tourism, influencing travel experiences and shaping tourist expenditures. Using a decade of data and field observations, in-depth interviews were conducted with auction house stakeholders to explore the gap between starting and final selling prices and the tourist flow at these establishments. Tourist numbers were determined through “Office for National Statistics” data, and auction data were analysed using product catalogues and bid prices. Descriptive statistics and regression analysis were employed to examine the relationship between tourist numbers and auction prices. The findings revealed no significant correlation between the selling prices of Islamic artefacts and tourist numbers; however, a robust connection was observed between auction prices and final selling prices. It is recommended to further analyse additional factors affecting tourist numbers. In light of these results, strategies emphasizing cultural and historical value are proposed for auction houses to enhance their tourist appeal, including the use of digital marketing and a reassessment of pricing strategies. This research underscores the need for a deeper understanding of the intricate relationship between auction houses and the tourism industry, emphasizing the necessity for further studies to make progress in comprehending and developing more effective strategies within a concise framework.

The Imperative for Modern Public Cloud Providers to Upgrade Their Data Centers

This study explores the imperative to modernize cloud computing in response to evolving technological landscapes and business demands. The research examines key areas requiring urgent attention to maintain competitive edge and operational efficiency in the digital era. We investigate the critical need for data center upgrades to accommodate emerging technologies and increased workloads. The study also delves into enhanced security measures and data privacy compliance protocols necessary to protect sensitive information in an increasingly complex threat environment. Furthermore, we analyze strategies to meet the growing demand for performance and scalability, ensuring that cloud infrastructure can adapt to fluctuating business needs. The research emphasizes the importance of maintaining system reliability to minimize downtime and maximize productivity. Additionally, we explore the potential of hybrid cloud integration to enable innovation and reduce costs. The purpose of this study is to provide a comprehensive overview of the challenges and opportunities in modernizing cloud computing, offering insights for organizations seeking to optimize their cloud strategies. Key findings highlight the significance of proactive infrastructure management, the adoption of advanced security frameworks, and the implementation of flexible, scalable architectures. This research contributes to the body of knowledge on cloud computing modernization, serving as a valuable resource for IT professionals, business leaders, and researchers in the field.

Analysis of Power-to-gas-to-X systems with metal hydride storage based on coupled electrochemical and thermodynamic simulation

Power-to-gas-to-X systems consisting of photovoltaic cells, proton-exchange membrane electrolysis, hydrogen storage based on metal hydrides, proton-exchange membrane fuel cells and buffer batteries could be used to meet heat and electricity demands of homes, businesses, or small districts. The actual size of the individual components and their interplay have to be optimized for the technical and economic feasibility of the overall system. A simulation-based optimization workflow would be a suitable way to accomplish this task, but there are hardly any tools that can simultaneously simulate power, fluid and heat flows of such systems and efficiently perform their optimization. In this paper, a multiphysical energy system simulation and optimization tool is introduced which models electrochemical and thermodynamic processes simultaneously, including modern equations of state and an own numerical solver for the arising differential–algebraic system of equations, and provides new methods for the calibration of parameters of the metal hydride storage, proton-exchange membrane electrolyzer and fuel cell as well as a metamodel-based approach for sizing optimization. As a demonstrator for the novel tool, a simulation model of a hydrogen lab is successfully set up based on experimental results. The novel tool is able to extract polarization and jump curves of the fuel cell, determine a first temperature and pressure dependency of the efficiency of the electrolysis coupled with the metal hydride storage and speed up sizing optimization through metamodeling by a factor 262.1 at 4.9% and 32.7 at 3.3% accuracy.

Technological integration of lean manufacturing with industry 4.0 toward lean automation: insights from the systematic review and further research directions

PurposeOrganizations are continually improving their practices to improve operational performance. They already employ Lean Manufacturing techniques (LM) to reduce unnecessary waste. Industry 4.0 techniques enhance operational performance in association with LM. Despite the proven benefits of LM principles and the advancements offered by Industry 4.0 technologies, many organizations struggle to integrate these approaches effectively. This research paper explores how LM principles can be combined with Industry 4.0 technologies to provide valuable guidance for businesses looking to adopt lean automation strategies.Design/methodology/approachA systematic literature review on LM and Industry 4.0 was done to investigate the possible technical integration of both methods. Ninety-two articles are extracted systematically from the Scopus and Web of Science databases. This study states a systematic literature review, including quantitative analysis of bibliographic networks and cluster analysis, to identify emergent ideas and their further implementation.FindingsThe research findings highlight the positive impact of integrating lean production with Industry 4.0 techniques, benefiting organizations in achieving their goals. A lean automation integration framework is proposed based on the literature review and the findings.Practical implicationsThis study provides industry administrators and practitioners valuable guidance for enhancing organizational productivity. These implications can provide businesses with competitive advantages, enhance customer satisfaction, and enable them to adapt to the dynamic demands of the contemporary business environment.Originality/valueThis literature review study has substantially contributed to the technological integration of lean and Industry 4.0. The work has also identified potential emerging areas that warrant further research.

Exploring the perceived effects of Destructive Leadership on employees' psychological empowerment: An Azerbaijan retail context

Azerbaijan's dynamic and diverse retail landscape is driving an escalating demand for motivated personnel, both locally and globally, to address sustainable development requirements. In competitive and demanding retail environments, the success of organizations can rely on confident, skilled, motivated, and informed employees to meet challenging business demands and inclusive growth. As Azerbaijan's retail competitive edge continues to expand, there is a heightened need for effective employer-employee interactions and strategic human capital to navigate intricate organizational hurdles. The targeted population for this study included current retail employees, and semi-structured in-depth interviews with 15 participants from 15 different retail service organizations were conducted. Hence, this research study addresses a crucial gap in leadership literature by examining the interplay between destructive leadership and employees' psychological empowerment, encompassing dimensions like meaningfulness, self-determination, competence, and impact. Employing a qualitative phenomenological approach, the study delves into the real-life experiences of employees within the Azerbaijani retail sector. The study concludes that destructive leadership can significantly hamper employees' psychological empowerment, resulting in negative impacts on their work role orientation, engagement, productivity, and commitment.

Supply Chain 4.0: new Technologies and Their Impact on the Supply Chain

Over the centuries, supply chains have undergone major changes, adapting to the environment and challenges such as: globalization, wars, competition, pandemic, digital revolution, etc., all these together, generating different missions and goals. One of the peculiarities of running a business in the XXI century is the fierce competition between companies, felt at international level. In these conditions, the traditional operations and processes of the supply chain no longer meet the complex requirements of today’s economy, and the implementation of leading-edge solutions is necessary. The use of new technologies in the supply chain can respond quickly to current business demands. Thus, a smart supply chain provides opportunities, creates added value, but also contributes to the creation of a strategic competitive advantage. The aim of this paper is to highlight the supply chain technological transformation possibilities, their benefits, challenges, limits and barriers. The need for knowledge, analysis and implementation of new technologies in supply chains is absolute, dictated by the omnipresent acceleration of change

The Innovation of Sustainable Tourism Business after the COVID-19 in Indonesia

This research aims to analyze the correlation of the innovation of sustainable tourism business after covid-19 in Indonesia. The sample size for the research was 488 respondents who had experienced at least once visiting Indonesia. This research attempts descriptive research and quantitative methods with observations innovation of sustainable tourism business after covid-19 in Indonesia. The findings show that the total number of international tourist arrivals visiting Indonesia from ASEAN, BRICS, APEC and G-20 amounted to 5,546,971 international tourists or 94,19 percent from total tourist arrivals visiting Indonesia. Secondly, international tourist visiting Indonesia from ASEAN in one year is three-four times, Asia-Pacific in one year is two-three times and Europe and America in one year is one-two times. Thirdly, international tourist visiting Indonesia from ASEAN is one until two provinces, Asia-Pacific is two until three provinces and Europe and America is three until four provinces. Fourthly, based on the results that important of continuously the innovation of sustainable tourism business after covid-19 in Indonesia. Furthermore, the means are high, positive correlation and significant. It indicates high demand for sustainable tourism business after covid-19 in Indonesia. In addition, sustainability without innovation is useless and innovation without sustainability is inevitability.

Interspectral Error Tracking and Compensation of DSDT in Satellite Internet of Things

With the rapid growth of satellite Internet of Things (SIoT) services, existing frequency band resources are insufficient to meet future business demands. To effectively address this issue, it is necessary to enhance the utilization of existing frequency resources. However, idle frequency resources are typically scattered across multiple bands and vary in bandwidth size. Direct Spectrum Division Transmission (DSDT), dividing a complete signal into sub-spectrum signals for transmission in idle frequency bands, can take the use of fragmented spectrum resources for satellite communication. Nevertheless, the performance of DSDT depends heavily on accurate synchronization toward multiple sub-spectrums. In this paper, an algorithm for error synchronization tracking and compensation is proposed by utilizing the focusing nature of constellation. All sub-spectrums are weighed by the minimum Euclidean distance of the constellation to compensate for amplitude–frequency–phase errors simultaneously. Simulations and experimental verification demonstrate synchronization performance and feasibility of proposed method in a multi-radio frequency channels environment.

Determining Factors Affecting Agricultural Credit Demand: A Research in Erzurum Province, Türkiye

The purpose of this research is to identify the variables that might influence the demand for low-interest business and investment loans given to Turkey's livestock and agricultural industries. A face-to-face survey of 384 producers who go on with their production operations in ten distinct Erzurum districts provided the data utilized in the study. Binary logistic regression analysis was used to identify the factors influencing credit use. The data shows that producers in the age groups of 20–30 are less likely to utilize credit than those in the 31–45 and 46–60 age groups. Credit use is higher among individuals involved in mixed production activities than in crop production only. Individuals who report being in excellent health have a higher likelihood of using credit than those who report being in bad health. Having a house of one's own increases the likelihood of using credit. Those whose production activity location is close to the district center are more likely to use credit. It has been shown that people are more likely to utilize if they say the guarantees that loan providers want are inexpensive, if they say they will carry on with their production, and if they say they are happy with the amount of expertise needed for production.