Business Resources Research Articles

A Novel Industrial Software Model for Social Manufacturing

Abstract Distinct from the conventional manufacturing paradigm, the functioning of the Social Manufacturing (SocialM) model relies on a vast and dispersed array of social manufacturing resources. SocialM communities/groups emerge autonomously through business interactions, resource self-organization, and production information sharing, all driven by product orders within the SocialM system. This necessitates a more open, distributed, and autonomous software model to facilitate the allocation and operation of social manufacturing resources in support of the SocialM model. Consequently, this paper introduces a novel software development model designed specifically for SocialM. This proposed model employs business interaction software as the system's primary control portal, enabling efficient management of resources and users based on the social manufacturing communities/groups. Additionally, it facilitates the administration and oversight of numerous applications by utilizing an industrial Appstore. Moreover, the paper delves into the technological roadmap for realizing the essential technologies of the software model by integrating multi-agent and Message Queuing Telemetry Transport (MQTT) technologies. A 3D printing task simulation case was employed to demonstrate the model's working principle, which served to confirm the reliability and scalability of the SocialM software, as well as the feasibility of the SocialM theory.

Partner diversity and the survival of joint ventures

ABSTRACT This paper empirically examines how sources of partner diversity affect the duration of international joint ventures (JVs). We argue that synergy effect among multi-party JVs causes complementary advantages and business resource diversity, which is conducive to the survival of JVs relationship. Our estimation results show that partners diversity not only alleviates the death risk of joint venture, but also reduces the probability of sole proprietorship of them. Moreover, partners diversity can significantly stimulate the tendency and output of joint ventures’ R&D and innovation, wherein the joint R&D as an effective method promote joint ventures’ survival and development.

Exploring the nexus between corporate digitalisation and environmental sustainability: The moderating role of slack resources

This paper investigated if high digitalisation exposure allows companies to reduce their environmental impacts. Further, the study also deepened the critical role of available slack resources by analysing their possible moderating effects on the relationship between the firm's higher digitalisation exposure and environmental performance. Adopting the unbalanced panel data approach, the authors performed 5 years fixed-effects regression analysis on a sample of 5,481 non-financial listed companies' data derived from the Refinitiv ESG universe, as well as considering the annual constituents lists of the STOXX® Global Digitalisation index. Findings showed digitalisation positively affects specific environmental performance. Moreover, results highlighted that available slack resources negatively moderate the relationship between the firms' higher digitalisation exposure and the sustainable management of resources in internal business and procurement processes. Accordingly, slack resources could stress the profit maximisation logic penalising corporate sustainability.

Business development in Ukraine with the support of employers' organizations and their associations

Introduction. In developing countries, state support for the development of entrepreneurship is of crucial importance, at the same time, civil society organizations play an important role in achieving business success of micro-entrepreneurs by providing various services, consultations, defending the interests of the business community in interaction with the authorities. Non-governmental business support organizations contribute to the development not only of their members, because by providing business support and acting on behalf of the business community to improve the conditions for conducting economic activity, such organizations as a result ensure the development of the country's economy as a whole. The purpose of the paper is to analyze the possibilities of employers' organizations and their associations in promoting business development in Ukraine. Results. Employers' organizations and their associations play an important role in the formation and implementation of state economic policy, regulation of labor, social, and economic relations. The activities of employers' organizations contribute to the establishment of effective cooperation between the business community and the authorities, including through the participation of such organizations in social dialogue. Today, the largest association of employers' organizations of Ukraine - the Federation of Employers of Ukraine takes an active part in the processes of liberalization of business conditions and implements effective support for business development, including through: lobbying business interests in the state authorities of Ukraine (local and central); support at the legislative level of various business initiatives of employers; providing opportunities for legislative and business intelligence; establishment of cooperation with foreign partners; attracting business to a wide range of events, meetings and conferences at various levels - local, national and international. The Employers' Federation of Ukraine, being a full member of the International Organization of Employers, actively promotes the interests of its members also in the international arena, in particular, regarding trade and access to foreign markets, including through participation in trade forums. Conclusions. Employers' organizations and their associations are today's important business associations that have the right to conduct collective bargaining at a certain national, sectoral, and territorial level on behalf of their members. As independent institutions, employers' organizations can influence public policy, thanks to their involvement in the processes of public policy discussion, monitoring of legislative initiatives and cooperation with the government sector. Such organizations provide specialized business resources, including professional advice and services, to assist with current issues of running and supporting business development.

AGROCONNECT - CONNECTING FARMERS TO SMART AGRICULTURE

Crop yield prediction focuses mostly on agricultural research, which have an enormous impact on taking decisions for example import-export, price, along with crop management. Soil is the main component and plays a significant role in agriculture. Based on the nutrients and pH value of the soil, crop yielding is determined. Farmers are still using traditional approach to analysis the soil quality. The techniques like Data Mining, Artificial Intelligence, Machine Learning, Deep learning and Predictive Analytics are the emerging technologies in research to improve the agricultural field. Predictive analysis is a technique of machine learning that predicts the future outcomes and analysis is based on the historical or past data. In agriculture, predictive analytics helps to predict or identify the soil nutrients level required for the crops like Paddy, Raagi, etc., Predicting the crop yield well ahead of its harvest would help farmers and market contractors strategize befitting actions to market and store their produce. These kinds of predictions will also help farmers minimize losses due to crop failure and can also help businesses that depend on agricultural products to plan their business logistics and resources. In this project, a method is proposed which would help predict the estimate of the crop yield for a specific land based on the analysis of geographical and climatic data using Machine Learning using LSTM. Firstly, it is able to capture the time dependency on temperature and rainfall. Secondly, it is able to work on a large and diverse dataset, unlike most models which only perform well in small regions. Lastly, it is able to use several diverse features - geographical, social, and economic to make a prediction. In addition to crop prediction, the system helps farmers to monitor the soil nutrients evolution so that action can be done on real time. The main chemical elements which are taken into the proposed model are nitrogen, phosphorus, potassium, hydrogen along with rainfall and temperature. Keywords—Crop, Machine Learning, LSTM, deep learning (key words)

Analisis Potensi Sumber Daya Manusia Dalam Bisnis Akomodasi Pondok Wisata Di Desa Wisata Besani

This research analyzes the potential of human resources in the accommodation business of pondok wisata or homestays in Besani Tourism Village, Blado District, Batang Regency, Central Java. Cottage tourism is a form of accommodation that offers more intimate lodging close to local communities, providing a different and satisfying experience for travelers seeking authenticity and togetherness in their journeys. The village stands out due to its concept of Javanese-Chinese cultural acculturation and attractive natural tourism potential. Through qualitative approaches and case studies, involving stakeholders as respondents, and utilizing primary data from interviews and observations, as well as secondary data from scientific literature and official documents. The SOAR approach is used to identify internal strengths, external opportunities, aspirations, and desired outcomes in accommodation business development. The analysis highlights the traditional skills of residents, significant tourism demand, and support from local government and companies. Human resource development strategies are recommended, including business management skills training, group-based cottage tourism development, service standard enhancement, income diversification, and local cultural promotion. This study provides insights into the potential of human resources to enhance competitiveness and sustainability in the tourism sector in Besani Tourism Village.

Особенности использования кластерного подхода при организации государственно-частного партнерства в сфере туризма

The study of the features of using the cluster approach in organizing public-private partnerships in the field of tourism is highly relevant in the context of the continued sanctions regime against Russia by the United States and the European Union. This is due, on the one hand, to the multiple growth of domestic tourism in many regions of Russia, and on the other, to high geopolitical risks and limited financial resources of Russian business. The article describes the dynamics of the development of public-private partnerships and its organizational features in the Russian Federation. In particular, the absolute priority of the share of concession agreements in the overall structure of public-private partnership projects in 2022 is shown; the structural differences between the initiatives of public-private partnership projects in Europe and the Russian Federation in 2020-2022 are identified, as well as the national characteristics of public-private partnerships in relation to the tourism complex, the organization of which is still a poorly developed method of improving national tourism. A significant difference between a domestic organization and a foreign one is that in Russia tourism is considered as a separate sector, while in Europe public-private partnership projects indirectly influence the improvement of tourism in the regions through the development of transport and social infrastructures. Whereas in Russia, in addition to projects of indirect importance, much attention is paid to potentially useful objects for increasing direct endogenous tourism indicators, such as the number of tourist arrivals, the number of foreign arrivals, increasing the share of tourism in GDP, passenger traffic, etc. It is concluded that a characteristic feature of the development of the tourism complex in the public-private partnership (PPP) format can be considered the use of the cluster approach as the main one. This allowed the authors to reveal a set of advantages of PPP in tourism; formulate the characteristics of a tourism cluster formed through the association of representatives of government agencies and private business; propose a scheme for the effectiveness of PPP design in tourism using a cluster approach.

Development of interaction management tools in B2B markets

The article is devoted to the problem of improving interaction in B2B markets. By analyzing the literature on the issues under study, the authors have identified a trend in the customer management development in B2B markets towards a unique experience creation along the entire path of interaction between an account and a company. This is a business marketing strategy aimed at understanding, engaging and providing customized services and content to target accounts. The strategy involves using marketing techniques to engage the entire organization by targeting multiple stakeholders within a single potential account. The use of CJM as a methodology currently used in B2C markets has been justified and recommendations for its application in B2B made. CJM allows companies to align their business processes and resources with the needs of accounts, ensuring smooth teamwork. Engagement tools used in account engagement management have been systematized, helping to effectively shape the account experience; engagement performance metrics have been identified. The engagement tools implementation provides the cross-functional integration needed to engage with larger accounts, aligning marketing with sales and service. The article focuses on personalizing engagement with decision makers. The research analysis also revealed the features and trends of content customization within the ABM programs.

Using big data for optimizing advertising campaigns in social networks

In the digital era, advertising on social networks has become a crucial element of marketing strategies. With the increasing number of users on platforms such as Facebook, Twitter, Instagram, and others, companies have unprecedented opportunities to target and engage consumers. This paper aims to examine the role and importance of Big Data usage in optimizing marketing campaigns on social networks. In an era where data is limitless, Big Data has become a valuable resource for businesses looking to understand consumer behavior and improve the efficiency of advertising campaigns. In this paper, we will shed light on the history and development of Big Data, including their volumes and sources. We will explore the potential of Big Data and categorize their sources to better understand how they can be leveraged for social media marketing. Furthermore, we will analyze the benefits and challenges of using Big Data in marketing. Additionally, we will examine cases where the use of Big Data has failed to optimize advertising campaigns on social networks and focus on the influence of Big Data in digital marketing, including personalization and sales promotion. We will also explore the technologies and methodologies used for making marketing decisions using Big Data. This study concludes that Big Data offers exceptional potential for innovation in the field of advertising on social networks, helping companies cope with rapid changes in consumer preferences and market dynamics. The results indicate that the strategic use of Big Data can lead to a deeper understanding of consumer behavior and offer a competitive advantage in a crowded and fast-paced market.

Knowledge Sharing dalam Organisasi: Tinjauan Sistematis

The aim of this research is to bring together the scattered literature on knowledge sharing, and analyze it to provide a better understanding. The review went through three stages: establishing the review protocol, conducting the review, and reporting the review. This research systematically reviews 110 articles in three research streams: (1) drivers of knowledge sharing (2) knowledge sharing processes, and (3) results of knowledge sharing. This research finds that organizations are advised to design knowledge sharing processes in line with their overall business goals, strategies and resources to maximize the benefits of knowledge sharing.

Systems Operations and Infrastructure Division of the Philippine Statistics Authority Towards Real-Time Service Delivery

This research explores the revolutionary path taken by the Philippine Statistics Authority’s (PSA) Systems Operations and Infrastructure Division in its pursuit of real-time service delivery. The division deliberately integrates its operations with modern technology breakthroughs in response to the changing demands for data. Clarifying the strategic objectives of the division is the main focus of the study. These include utilizing cutting-edge technologies, infrastructure optimization, and process simplification to provide a smooth and quick flow of statistical data. The division uses methodical approaches, such as technology integration, process automation, and careful data management, which are described in the methodologies section. It offers information on the actions made to bring the division’s operations into line with the main goal of accomplishing real-time service delivery. The division’s initiatives have produced measurable benefits, which are highlighted in the results section. These include increased system reliability, faster data processing, and much lower service delivery latency. The positive impact of the adopted adjustments is substantiated by quantifiable metrics and success indicators. The report concludes by considering the critical role that the Systems Operations and Infrastructure Division has played in moving the industry closer to real-time service delivery. It summarizes lessons learned, identifies obstacles overcome, and looks forward to more developments in the field of information distribution. It is an invaluable resource for businesses and governmental bodies looking to improve service delivery methods through technological changes. The Systems Operations and Infrastructure Division of the PSA provides insights into best practices for navigating the changing information management landscape. Keywords: Information Technology, Public Administration, Real-Time Service Delivery, Systems Operations, Infrastructure Optimization, Technology Integration, Process Automation, Data Management Philippines

Ảnh hưởng của tỷ lệ nắm giữ tiền mặt tới hiệu quả hoạt động: Bằng chứng thực nghiệm từ các doanh nghiệp niêm yết trên thị trường chứng khoán Việt Nam

The study examines the impact of cash holdings on firm performance measured by return on total asset ROA and return on equity capital ROE. Using OLS, Fixed effect and GMM method to account for the endogeneity problem, the study shows the positive impact of cash holdings on the financial performance of listed companies in Vietnam during 2013- 2021. An increase in cash holding ratio helps businessed maintain solvency, creating resources for businesses to proactively take advantage of business opportunities, thereby improving the firm performance.

ВЕБ-ОРІЄНТОВАНЕ НАВЧАННЯ ТА УСПІШНІСТЬ СТУДЕНТІВ У НАЦІОНАЛЬНОМУ ВІДКРИТОМУ УНІВЕРСИТЕТІ НІГЕРІЇ

The study examined the impact of Web based learning structures (Moodle, Blackboard, Online Library, Online Course Module/Study Guide, Internet Learning for coach student and Student - Student Connection and Times of Access of Internet Learning Applications) on students' scholarly accomplishment at the National Open University of Nigeria. The descriptive survey research design was used with a population of 100 to 400 students and a sample size of 150 students from the National Open University of Nigeria's schools of law, arts and social science, business and human resources, education, science and technology, and center for continuing education. A questionnaire with 53 questions titled: Experts validated the Online Learning and Learners' Academic Achievement in National Open University of Nigeria Scale (OLLAAS), and Cronbach's alpha yielded a reliability coefficient of 0.76. To test the hypotheses at the 0.05 level of significance, data were analyzed using Multiple Regressions and the Pearson Product Moment Correlation Coefficient. The discoveries of the review uncovered that the Internet learning structures (Moodle, Blackboard, Online Library, Online Course Module/Study Guide, Web based Learning for mentor student and Student - Student Connection and Times of Access of Web based Learning Applications) essentially impacted students' scholarly accomplishment (F (6, 143) = 24.907; R2 = 0.511), and mutually represented 49.1% of its difference. Moodle (r =.206, P0.001), Blackboard (r =.417, P0.001), the Online Library (r =.594, P0.001), the Online Course Module/Study Guide (r =.395, P0.001), online learning for tutor-learner and learner-learner interaction (r =.442, P0.001), and periods of access to online learning applications (r =.625, P0.001) all had positive correlations with students. In light of the discoveries, it was suggested that administration ought to put more in training of this season of computerized age through satisfactory financing to empower schools obtain and introduce ICT foundation. The government and all relevant stakeholders ought to address the problem of incessant power outages. Mechanical gadgets ought to likewise be made accessible to students at sponsored rates to empower everybody partake in remote learning. Web based learning meetings ought to be planned with significant and profoundly captivating and intelligent learning exercises to lessen fatigue among detached students during learning.

Methodological approaches to the formation of accounting and analytical support of capital management of the organization

Capital is an important business resource that can bring profit. Therefore, competent capital management of an agricultural organization ensures the stability of its economy. The quality of management decisions largely depends on the accounting and analytical support. For the successful functioning of the accounting and analytical system of the organization for the purposes of capital management, the combination of methodological approaches of its construction with the basic principles of formation of the capital itself is proposed; additional emphasis is made on the disclosure of the most significant factors affecting the capital in the system; the expediency of including elements of economic diagnostics in the accounting and analytical support of capital management is revealed; the algorithm of the diagnostic survey of equity and debt capital in the agricultural organization is proposed.

Revolutionizing Organizational Decision-Making for Stock Market: A Machine Learning Approach with CNNs in Business Intelligence and Management

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 (VGG16) 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.

Strategic Human Resource Planning in the Era of Digital Transformation

Digital transformation has had a significant impact on business and human resource management (HR). This research explores "Strategic Human Resource Planning in the Era of Digital Transformation" through a systematic literature review. Key findings include deep technology integration, key stakeholder engagement, and an emphasis on developing employee skills and leadership as crucial elements in responsive HR planning. Organizations that successfully align HR planning with sustainable development goals also create broader positive impacts. Nonetheless, implementation challenges such as change resistance, technological uncertainty, and difficulty in predicting skills needs are a major focus. In conclusion, this research provides in-depth insights, highlights knowledge gaps, and details future research opportunities to help organizations navigate the changing dynamics of the digital era.

Flourish, fight or flight: health in self-employment over time—associations with individual and business resources

PurposeUsing COR theory to study developments of health and other key resources in self-employed workers in Sweden over 6 years, this study: (1) explored whether the heterogenous group of self-employed workers contained subgroups with different health trajectories, (2) investigated whether these were more typical for certain individuals (with respect to age, gender, sector, education, employment status), and (3) compared the different health trajectories regarding resource development in mental well-being, business resources, employment status, work ability.MethodThe study used data from the Swedish longitudinal occupational survey of health (SLOSH) and included participants working as self-employed or combiner (N = 2642).ResultFive trajectories were identified with latent class growth curve model analysis (LCGM). Two health trajectories with (1) very good, respective (2) good stable health (together comprising 78.5% of the participants), (3) one with moderate stable health (14.8%), (4) one with a U-shaped form (1.9%), and (5) one with low, slightly increasing health (4.7%). The first two trajectories flourish: they maintained or increased in all key resources and were more likely to remain self-employed. Trajectories three and five consist of those who fight to maintain or increase their resources. Workers in the U-shaped health trajectory show signs of fight and flight after loss in health and other key resources.ConclusionsStudying subgroups with different resource developments over time was suitable to understand heterogeneity in self-employed workers. It also helped to identify vulnerable groups that may benefit from interventions to preserve their resources.

The impact of the decision-making role on perceived satisfaction, value for money, and reinvest intentions at varying levels of perceived financial performance in the context of Big Data Marketing Analytics

ABSTRACT Business resources and processes such as Big Data Marketing Analytics (BDMA) are becoming increasingly focused on meeting the needs and objectives of customers. Consequently, this research aims to use PLS-SEM to explain the interaction and relationships between the core user-centric performance measures of BDMA, such as user satisfaction, value for money and reinvestment intention. Also, the significance of the decision-making role was explored in this context. Finally, the impact of perceived financial performance was investigated to see its impact on the examined relationships. The impact of value for money on user satisfaction, the impact of the decision-making role on user satisfaction, and finally, the impact of the decision-making role on the reinvestment intentions were found to be significant for individuals who scored either low or high perceived financial performance. Furthermore, all the observed relationships in the dataset were positive, whereas only three were positive and significant for individuals who scored low on perceived financial performance. Overall, it is clear that perceived financial performance has a vital role in BDMA deployment, where understanding the influence of user authority in decision-making enables managers to design better organizational plans by integrating inputs from multiple organizational cross-layers. Also, the results indicate that a user’s decision-making role influences user-centric measures in BDMA deployment, which reveals how user perceptions and authority play a vital role in the context of BDMA in firms.

The impact of cultural distance on the migration of professional athletes as high-skilled employees

Global migration creates both challenges and opportunities for employees and employers. An important issue in international business and human resource management is the integration of employees into a culturally different working industrial environment because focusing on cultural differences, integration, and mitigating culture shock can provide a competitive advantage. Our research examined the global migration involving the Hofstede cultural dimensions in the sports industry, especially in the football transfer market. The paper aims to find a relationship between cultural distance as an expression of cultural differences and international transfers of professional footballers as high-skilled and talented employees. Our study is based on a substantial quantitative examination of processing 34,430 international transfers. Our research question is: What kind of relationship can be detected between cultural distance and the migration of professional footballers? The results of a linear regression model show a significant negative correlation between the number of transfers and cultural distance. However, we believe that the country's economic performance and professional sports standards or quality are essential in addition to the cultural distance. Therefore, as a next step, the analysis involved both factors in getting a more sophisticated result. The results of the multiple regression model confirm the attitude of professional athletes; besides cultural distance, the impact of other factors (economic and/or professional aspects) is also important. Therefore, we recommend that companies pay close attention to their particularly valuable human resources.

Skills and Techniques of Machine Repair Fitters

In this important understanding of machining, mechanical maintenance fitter occupies an important position. Machine repair fitters are mainly responsible for the processing and maintenance of various mechanical equipment, and use scientific control methods to restore mechanical properties. Therefore, we can see that the faults in machine maintenance need quick maintenance by fitters to solve various problems that often occur in machine maintenance. In this case, the fitter must master basic machine maintenance skills and use excellent information technology to assist in the installation of various machines. Therefore, this article gives a brief introduction to the machine fitters used for machine maintenance and shows how to increase their repair capacity to make machine maintenance more efficient. With the progress of scientific and the rapid increase in productivity, competition between enterprises is more and more intense. If enterprises want to maintain a high competitiveness and advantages, they need to focus on the research and development of core technology of their companies and improve core competitiveness. So in such a large background, many companies choose to focus on the development of their core business, and then they need other enterprises to complete their own non-core business resources. In such a development process, the logistics industry will gradually separated and then the third-party logistic enterprises show up.