Business Resources Research Articles

Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN.

Hand gestures are an effective communication tool that may convey a wealth of information in a variety of sectors, including medical and education. E-learning has grown significantly in the last several years and is now an essential resource for many businesses. Still, there has not been much research conducted on the use of hand gestures in e-learning. Similar to this, gestures are frequently used by medical professionals to help with diagnosis and treatment. We aim to improve the way instructors, students, and medical professionals receive information by introducing a dynamic method for hand gesture monitoring and recognition. Six modules make up our approach: video-to-frame conversion, preprocessing for quality enhancement, hand skeleton mapping with single shot multibox detector (SSMD) tracking, hand detection using background modeling and convolutional neural network (CNN) bounding box technique, feature extraction using point-based and full-hand coverage techniques, and optimization using a population-based incremental learning algorithm. Next, a 1D CNN classifier is used to identify hand motions. After a lot of trial and error, we were able to obtain a hand tracking accuracy of 83.71% and 85.71% over the Indian Sign Language and WLASL datasets, respectively. Our findings show how well our method works to recognize hand motions. Teachers, students, and medical professionals can all efficiently transmit and comprehend information by utilizing our suggested system. The obtained accuracy rates highlight how our method might improve communication and make information exchange easier in various domains.

Improving the forecasting of inbound tourism demand based on the mixed-frequency data sampling approach: evidence from Australia

ABSTRACT This study explores how the mixed-frequency data sampling (MIDAS) approach enhances the forecasting of Australia’s inbound tourism demand by employing an autoregressive distributed lag (ARDL)-MIDAS model. The main findings are as follows: First, after capturing the effects of control variables, both daily exchange rate returns and daily exchange rate volatility affect Australia’s inbound tourism demand. Second, the monthly growth rate of inbound tourist arrivals follows a mean-reverting process and incorporating its historical fluctuation information from the past 3 months significantly increases the explanatory power of the ARDL-MIDAS model. Third, the results of the out-of-sample predictive performance indicate that the two MIDAS-based models significantly outperform the benchmark model and the other two candidate models due to the incorporation of intra-month exchange rate information. These findings provide insights into the forecasting of inbound tourism demand and lay the foundation for further tourism business planning, resource allocation, and policymaking.

Analysis of the Business Feasibility Study of the Development of UMKM Tempe Pak Muhlis, Lerpak Village, Geger District, Bangkalan District, Perspective of Management Aspects

This study aims to determine the business feasibility of the development of Tempe Pak Muhlis MSMEs in Lerpak Village, Geger District, Bangkalan Regency, in the Management aspect. Management is the achievement of business goals in an effective and efficient manner through planning, organizing, leading and controlling business resources. In order to achieve the goals or objectives of a business, of course, through a management process. Tempeh is one of the foods favored by the community. The raw material for making tempeh comes from soybeans and non-soybeans. The business of making tempeh in Indonesia is mostly done in the home industry or home industry, one of which is like the one in Geger District Dusun Lerpak Kab. Bangkalan. this study aims to identify the feasibility of the tempeh industry in Lerpak Hamlet from the management aspect through a qualitative approach. data collected through in-depth interviews with producers of shrimp paste traders and consumers as well as direct observation in the field. Based on the results of the research, the tempeh industry can be said to be feasible because it has covered and fulfilled the analysis method.

Pengabdian Masyarakat Sosialisasi Metris Vertikal Cara Berhitung Lebih Bervariasi

Logical abilities and creativity in calculations can be applied in economics where people organize and manage a business activity themselves and bear the risks of their business. He is responsible for his business, financial risks, material and human resources in his business. Technical economists usually act as owners or managers and also as operators of their business activities. Calculation in technical economics is a science that contains how to calculate, how to make considerations in solving a problem, including the feasibility of a business with existing alternatives based on economic factors and criteria. By studying this approach, it is hoped that someone can make the best decision from the many available alternatives. From the description of arithmetic it can be seen that calculations in technical economics involve very technical considerations. So technical economics involves technical analysis, with emphasis on economic aspects and has the aim of assisting decision making. Therefore, in making the decision to do so, a technical economist must be able to make the right decision. The right decision is not a decision without consideration. Of course, to make the right decision, basic considerations are needed. These basics are what are called alternatives in making decisions. This process of many alternatives can be tried to simulate through learning arithmetic calculations which can be done in various or many ways using the vertical metris method.

Business Resources for the Implementation of Home Automation Technology in Homes in Residential Areas

The objective of this study is to determine the business resources necessary for the implementation of Home Automation Technology in homes. Descriptive research, non-experimental, transectional or cross-sectional field design, the sample was six companies in the residential housing construction sector of the department of Cesar, the data collection technique was the survey, the instrument was the questionnaire with options Likert type response. There is a lack of human resources with sufficient knowledge of the subject, there are few people who have technical training in this type of technology, which is well accepted in the builders' union and who are willing to implement it in medium-term projects. As for other resources such as physical, financial and technological resources, these finally have a moderate level of acceptance and availability according to the results obtained. The relevance consists of continuing to consolidate the implementation of technological innovations in terms of tending to integrate construction companies in the region with the research centers of educational institutions and universities.

A Proposed Design of Knowledge Based Performance Management System For Airport Company

The aviation industry has an important role in connecting different regions of the world. Along with the economic recovery after the COVID-19 pandemic, improving airport performance is important to pay attention to. This research aims to design a knowledge-based performance management system that is suitable for airport companies. This research aims to identify critical factors that affect the performance of airport companies, identify organizations with critical functions, and design an integrated performance management system (IPMS) based on predetermined variables. This study uses a combination of theoretical analysis methods and model validation using data from airport companies in Indonesia. Data collection was carried out through questionnaire surveys and interviews. The Analytical Hierarchy Process (AHP) is used to select the appropriate variables by determining their level of significance. This study identifies 9 critical factors that must be considered in designing a performance management system for airport companies. These factors include business perspectives, internal processes, and resource capabilities. Furthermore, this study designs an integrated performance management system (IPMS) by determining Key Performance Indicators (KPIs), Cascade KPIs, targets, weights, and organizational functions involved. This research results in a knowledge-based performance management system design that can be applied to airport companies. This system is expected to help airport companies in improving their performance and achieving organizational goals.

Innovation of the finished banknotes business model changes in Indonesian banknotes printing

Perum Peruri, as a state-owned banknote printing company, needs to do business model innovation to anticipate change in printing regulation by Bank Indonesia (BI). The finished banknotes business model is the submission of the entire process to provide end-to-end Rupiah. This research analyzes the impact of business model banknotes printing changing into finished banknotes against Perum Peruri. Data were collected through in-depth interviews with experts and distributing questionnaires to 44 respondents working at this company. Business Model Canvas (BMC) and Resources Based View (RBV) were used to identify business models and the internal resources required for the implementation process. Therefore, six elements in BMC were used to conduct changes, and based on the results RBV analysis, four sources of internal resources were found at the Unused Competitive Advantages (UCA) level and two at the Temporary Competitive Advantages (TCA) level. This company must develop source power inner to the level of Sustainable Competitive Advantages (SCA) to mitigate changes. Further research need to be conducted on the ability of the business model to impact changes in the banknotes printing industry.

“Safer to plant corn and beans”? Navigating the challenges and opportunities of agricultural diversification in the U.S. Corn Belt

AbstractAgricultural diversification in the Midwestern Corn Belt has the potential to improve socioeconomic and environmental outcomes by buffering farmers from environmental and economic shocks and improving soil, water, and air quality. However, complex barriers related to agricultural markets, individual behavior, social norms, and government policy constrain diversification in this region. This study examines farmer perspectives regarding the challenges and opportunities for both corn and soybean production and agricultural diversification strategies. We analyze data from 20 focus groups with 100 participants conducted in Indiana, Illinois, and Iowa through a combined inductive and deductive approach, drawing upon interpretive grounded theory. Our results suggest that when identifying challenges and opportunities, participants center economics and market considerations, particularly income, productivity, and market access. These themes are emphasized both as benefits of the current corn-soybean system, as well as challenges for diversification. Additionally, logistical, resource and behavioral hurdles– including the comparative difficulty and time required to diversify, and constraints in accessing land, labor, and technical support– are emphasized by participants as key barriers to diversification. Agricultural policies shape these challenges, enhancing the comparative advantage and decreasing the risk of producing corn and soybeans as compared to diversified products. Meanwhile, alternative marketing arrangements, farmer networks, family relationships, and improved soil health are highlighted as important opportunities for diversification. We contextualize our findings within the theories of reasoned action and diffusion of innovation, and explore their implications for farmer engagement, markets, and agricultural policy, and the development of additional resources for business and technical support.

Fair play in family firms: examining the perceived justice of performance management systems

PurposeThis study examines the intricate relationship between family influence and perceived justice in performance management systems within family firms. Recognizing the unique dynamics that family ownership brings to human resource practices, the research aims to delineate how family presence affects both the process and the perception of fairness in performance evaluations.Design/methodology/approachUsing a conceptual framework, the research adopts a dual-method approach, combining a comprehensive literature review with theoretical modeling. The study synthesizes existing research and theoretical insights to explore the effects of family influence on the perceived fairness of performance management practices.FindingsThe findings reveal that family influence profoundly shapes fairness perceptions in performance management, impacting family and non-family employees. It affects systems' design, implementation and reception, with mechanisms including resource distribution and criteria alignment. Specifically, family influence molds fairness perceptions within the performance management process, enhancing organizational performance and fostering trust in family businesses, thus supporting sustainable growth.Originality/valueThis study contributes to the family business and human resource management literature by providing a nuanced understanding of how family dynamics influence perceptions of justice in performance management. It underscores the dual role of family influence in enhancing and complicating fairness perceptions, thus offering a balanced view that can inform academic research and practical HR management in family firms.

Modern Eğitim Örgütlerinin İhtiyaç Analizi Değerlendirmelerinde Açık Sistem Modelinin İncelenmesi

Studies related to needs analysis in modern educational organizations are important for the development of a reliable, holistic model to determine which competence area needs training in order to train and train school administrators as a professional professional group, using business and human resource management fields, in addition to the school/education lens, so that school administrators can acquire and update professional competencies that will help them perform their duties professionally. For this reason, considering the professional training needs of school administrators from a different disciplinary lens, such as education and development in the context of business management, can make different contributions to the professional development of school administrators. It is expected to be an effective and practical solution that will also make a significant contribution to the efficiency of today's school organizations, especially with the open system model application in education management. As a result of the application of this model, the determination of undergraduate and/or postgraduate education, training, appointment, pre-service and in-service education curricula according to the professional competencies of all educational institution managers/leaders and teachers based on the professional competencies of school administrators and teachers within the Ministry of National Education and universities, effective holistic implementation of measurement and evaluation processes as a result of these trainings can be ensured. Since this model has been developed according to the educational needs analysis literature, it can be used as a practical model for all educational processes related to all kinds of professions. It can also be used for the same purpose for the training and education of teachers from all branches who will be employed or are currently employed within the Ministry of National Education. Key Words: Modern Educational Organizations, Needs Analysis, Open-System Model

Pengaruh Sumber Daya Manusia Dalam Pengembangan Digital Marketing Terhadap Minat Beli

This research aims to investigate the influence of human resources in digital marketing development on consumer purchasing interest, at business source stores. The research method used is quantitative using a questionnaire as a data collection tool. The sample for this research is consumers of business source stores who have made online transactions. Data analysis was carried out using multiple linear regression to test the relationship between digital marketing human resource variables and consumer buying interest. The research results show that human resources who are skilled and experienced in digital marketing have a positive and significant influence on consumer buying interest. The managerial implication of this research is the importance of investing in developing quality human resources in the digital marketing field to increase consumer buying interest and strengthen the competitive advantage of business resource stores in the market.

Triadic Models as a Complex Model: Technology-Entrepreneurship-Art of Film

Abstract The triadic models share interesting features as well as deeper investigation potential. The relationships between triad’s elements are not only conceptual but operational as well. Three examples are given, as the fourth case is further analysed in depth. The paper aims to reveal the research potential of triadic models by examining the triad Technology-Entrepreneurship-Art of Film at the conceptual level. The analysis potential of triadic models is emphasized, by systematic investigation of the two-by-two inter-relationships, in a triple S holistic approach (synthetic, systemic, and synergic). This paper focus is on the last triad case (technology-entrepreneurship-art of film) – which is both a novel approach and new integrative analysis. Trying to bridge the literature gap, the authors propose a discussion exploring the possible inter-links between the three elements of the triad. Trying to bridge the literature gap, the authors propose a discussion exploring the possible inter-links between the three elements of the triad. The results of this endeavour are twofold encouraging: (i) by underlying the investigation potential of triadic models, in general, and (in particular) the potential of the triadic model technology-entrepreneurship-art of film; and (ii) by implications for business managers, in general, and (in this particular case), for company managers while making strategic decisions, considering criteria linked to different business sectors and resources. Opening a discussion on triad-type models is worthy – as the above examples (selected from diverse business areas) demonstrate a solid research potential, bringing up new notions (as technopreneurship, technowledgepreneurship, triple S holistic approach) or deepening the study of existing concepts. This study of the triad of technology – entrepreneurship – art of film, as an explorative essay, has its inherent limitations. The most serious one is the integrated approach of the triad’s elements – which is also opening further research paths.

Revitalizing Ukrainian Cities: The Role of Public-Private Partnerships in Smart Urban Development

Purpose: The article examines the role of public-private partnership (PPP) as a key tool for urban infrastructure restoration and the development of Ukrainian cities within the framework of the Smart City concept. It underscoresthe urgent need for effective mechanisms to restore urban infrastructure, especially in light of the challenges associated with the Russian military aggression and the resulting destruction in Ukrainian cities. The study explores key aspects of smart cities development, including the integration of digital technologies, the use of data, and innovative business models aimed at optimizing city functions.Design/Methodology/Approach: The research employs a multi-stage methodological approach, encompassing elements such as gauging urban population satisfaction with municipal services, graphical analysis using CIMI, assessing the relevance of revitalizing Ukrainian cities and the need for mobilizing business resources, sociological surveys, developing a Smart City model based on PPP project outcomes, and formulating key elements of the national Smart City development strategy.Findings: Emphasizing the importance of strategic planning and cooperation between public and private sectors, the study demonstrates the advantages offered by PPP-based projects. The obtained results highlight the pivotal role of PPPs in promoting urban development initiatives basedon the Smart City concept. The study emphasises the potential of PPPs in shaping stable and prosperous smart cities in Ukraine. Through effective PPP utilisation, local governments can restore urban infrastructure,improve service quality, and enhance the quality of life for their citizens.Practical Implications: The research results can serve as the basis for strategic planning and investment in infrastructure projects necessary for the creation of a smart city. The envisioned strategy will allow for the improvement of legislative acts covering a wide range of aspects of smart cities development while promoting collaboration between public and private entities. This includes bolstering the transportation system, deploying digital technologies, modernizing social institutions, and enhancing the efficiency of urban resource management.Originality/Value: The originality and value of the study lie in its multifaceted approach to assessing and promoting the Smart City concept in Ukrainian urban development. It combines various research methods, including satisfaction assessments, CIMI-based graphical analyses, sociological surveys, and the development of a Smart City model based on PPP project results. This approach not only provides a comprehensive understanding of the state of urban infrastructure and citizen satisfaction but also offers a strategic framework for smart cities development.

Analisis Metode dan Bidang Pengembangan Sistem Informasi Menggunakan Systematic Literature Review

The development of information systems is a crucial process in the current modern era, as information systems play a vital role in managing, processing, storing, retrieving data, as well as assisting in the necessary decision-making for organizational. Therefore, companies and organizations are competing to build information systems in the present era. However, the rapid growth of information technology results in new needs and challenges, prompting organizations to develop their information systems. A review was conducted to provide an understanding of why organizations in case studies need to develop information systems, the methods used, and the fields covered in the developed information systems. The review was conducted using the Systematic Literature Review (SLR) method, aiming to provide an overview of 14 papers discussing information system development from 2021 to 2023. The results indicate that the primary reason for an organization to develop an information system is the need for a system that can help manage employees more efficiently. Furthermore, the study found other reasons, such as assisting in the process of admitting new students, improving patient services, facilitating the book borrowing process, and managing student learning outcomes or E-Reports. The most widely used method for information system development is the Waterfall method, where information system development is widely implemented in the fields of education, business, healthcare, government, and human resources.

Appraisal or Critique? Analyzing Sentiments in Google Play Store Reviews with Python

In today's world of mobile applications, understanding how users feel about your app is key for developers and businesses looking to enhance their offerings. Our project takes a people-centric approach to analyzing sentiments expressed in Google Play Store reviews. We have crafted a comprehensive method using Python to delve into user feedback. We rely on the VADER sentiment analysis tool to gauge the emotional tone of reviews, sorting them into positive, negative, or neutral categories. Our code covers everything from gathering data to preprocessing, sentiment analysis, and visualization. This allows users to extract valuable insights from the feedback loop. By deciphering the sentiments within these reviews, our project becomes a potent resource for developers and businesses, empowering them to refine user experiences and make informed decisions. Our Python-based solution is not just powerful but also flexible and efficient, capable of handling large volumes of data. This approach contributes to more informed app development strategies, fostering better user satisfaction and business success.

Prospects of business process management based on chatbots

The relevance of the study is due to the growing need to use chatbots to optimize business processes. The purpose is to form a theoretical basis and practical tools for increasing the efficiency of using chatbots in business processes. The theoretical basis involves substantiating the theoretical foundations of forming a conditional chatbot profile for an optimization system. The practical toolkit includes chatbot components that depend on the complexity of tasks, the type of services, the specifics of customers, financial conditions, and other features of business processes. The result is the formation of a system profile of the chatbot, which would allow increasing the efficiency of its use in business processes. The key system components of the chatbot are substantiated: the technologies used, types of users, optimal areas of application, application algorithms, basic tools, and limitations in application. By varying the parameters of system components, one can choose their optimal values to increase the efficiency of using chatbots in business processes. It is advisable to use the specified system in business processes when determining the demand for products and their sales. The use of chatbots allows to reduce the time to complete business processes, personnel costs, and resources related to their implementation. AcknowledgmentThe paper was prepared in the framework of the research projects “Fundamental grounds for Ukraine’s transition to a digital economy based on the implementation of Industries 3.0; 4.0; 5.0” (No. 0124U000576) and “Digital transformations to ensure civil protection and post-war economic recovery in the face of environmental and social challenges” (No. 0124U000549).

Transformative Impact of Deep Learning in Stock Market Decision-Making: A Comparative Study of Convolutional Neural Networks

This research delves into the transformative impact of deep learning, specifically Convolutional Neural Networks (CNNs) such as VGG16, ResNet50, and InceptionV3, on organizational management and business intelligence. The study follows a comprehensive methodology, emphasizing the importance of high-quality datasets in leveraging deep learning for enhanced decision-making. Results demonstrate the superior performance of CNN models over traditional algorithms, with CNN (VGG19) achieving an accuracy rate of 89.45%. The findings underscore the potential of deep learning in extracting meaningful insights from complex data, offering a paradigm shift in optimizing various organizational processes. The article concludes by emphasizing the significance of investing in infrastructure and expertise for successful CNN integration, ensuring ethical considerations, and addressing data privacy concerns. This research contributes to the growing discourse on the application of deep learning in organizational management, providing a valuable resource for businesses navigating the dynamic landscape of the global market.

Tourism for participatory development

This article aims analyze tourism as the root of local development, through empowerment, in northeastern Brazil. The methodology used is the on-site observation and survey in the entire northeastern region, considering especially the Paraiba and campinense, as points of interest for local development. The fundamental hypothesis is that "tourism promotes local development, in terms of employment and income, that implement the creative economy and solidarity for the people of the locality. Small business resources and are pivoted, propelling the principle of identity with the site and fostering new participation in the economy and social involvement. In summary, the tourism has incorporated population excluded from the process to infiltrate social organization and contribute to the local development, to create new forms of economic and social well-being.

ANALIZA ODNOSA INDEKSA DIGITALNIH VEŠTINA I RAZVOJA EKONOMIJE

The transition from the industrial age to the age of knowledge or information age implies the adoption of new knowledge and skills that become the main resource of business. The consequence of constant technological innovations is the need for new knowledge and skills, such as digital literacy and digital skills, which have become one of the most important resources for the development of industry, and therefore the economy. The subject of research in this paper is the analysis of the DSI index ( Digital Skill Index ) for the years 2021 and 2023 and the DQL index ( Digital Quality of Life Index ) for a period of five years, with the aim of comparing the data and pointing out the importance of having digital skills and the use of social networks have on the development of the economy. Quantitative research method was used in the research and was implemented dynamic analysis of DSI and DQL indices for Serbia and comparative analysis with other countries in a given time period. The results of the DSI index research for 2021 and 2023 for 36 European countries show that the leading positions were taken by the countries of Northern Europe, the Netherlands, Ireland, Spain and Luxembourg, while Serbia took the 30th position. Certain countries that occupied the central positions in the table in 2019, in 2023 have regressed, that is, progressed, but not to a significant level. On the other hand, the analysis of the DQL index for 50 countries of the world in the period from 2019 to 2023 shows that European countries occupied more than 50 percent among the best-ranked countries in the entire time period, while Serbia was not analyzed in 2019, but in in the next four analyzed years, it reached the top 50 ranked countries in the world. Also, the paper shows the importance of the development of digital skills and the use of social networks in the growth and development of the economy.

Research on Alibaba company’s Digital Human Resource management and Recruitment Information Platform: A systematic case study

In the 21st century, As data-based human resource management, AI HRM technologists and digital recruitment have become a major trend in the development of enterprises, the multi-faceted video interview artifact will help enterprises to digitally transform their recruitment and create a revolution in video interview efficiency. Although Human resource management, digital recruitment, and the training of talents have gained a lot of experience and methodology. Moreover, This study also uses the Documentary analysis and TAM theoretical model for analysis. The aspect of digital human resource management includes many factors. Alibaba company starts from the human business and human resource meets the end of the business. Alibaba company defines five key end-to-end digital processes and specifications here: employee onboarding, employee deployment, and employee satisfaction. Performance-based compensation, employee ability training, and employee turnover optimization. To sum up, The research of this paper mainly uses the mixed method of qualitative analysis and quantitative mixed analysis to conduct research and analysis, and uses excel or SPSS 27 software to perform ANOVA analysis on the sample data, and concludes the importance of human resources digitization and recruitment to Ali-baba company. The findings of the study not only not only deepen the research on the development of digital human resource management in enterprises, but also provide valuable reference for the research and development of AI technology and new digital technology for human resource management and recruitment platforms.