Comprehensive Business Research Articles

Levels and Performance Indicators of Business Under an Integral Theoretical Perspective Oriented Toward SDG

Objective: The sustainable development goals require companies to rethink the way in which economic and social value is created. This article aims to propose an alternative approach to studying business performance from an inclusive and sustainable perspective. Theoretical Framework: The contributions of organizational development theory are employed, and based on its principles, business performance, its levels, and indicators are characterized. Method: Documentary research was conducted, taking as a starting point the units of analysis proposed by organizational development theory. Results and Discussion: Variables associated with the organizational levels declared by organizational development theory were identified, and the benefits they bring to comprehensive business performance are supported. Research Implications: Business performance is characterized and classified based on the three levels of an organizational system: the individual level (personnel performance), the group and environment level (group performance), and the organizational level (organizational performance). Originality/Value: The literature is ambiguous when it comes to defining and measuring business performance. In many cases, the sole focus is financial performance. This paper highlights the need to broaden the framework for studying business performance and decent work by revaluing the role of individuals in achieving business organizational goals through work.

Development of Agribusiness in Tiwi, Albay

This study determined the status of agribusiness in Tiwi, Albay, as basis for the development of business plan. Specifically, it sought to answer the following sub- problems: 1) What are the areas of agribusiness in the Municipality of Tiwi, Albay?; 2) What are the status of agribusiness along; crop production, animal production, aquaculture production, and agri-support services and manufacturing?; 3) What are the contributions of the above areas in the agribusiness in Tiwi, Albay?; 4) What are the problems encountered in agribusiness?; and 5) What business plan may be proposed to address the problems encountered in agribusiness? The study involved presenting the agribusiness sectors contributions through tables and charts, emphasizing their economic impact and community significance. It addressed challenges by organizing issues like infrastructure or market access, supported by relevant data or case studies. It proposed a comprehensive business plan targeting specific problems with detailed strategies, cost estimates, and potential outcomes. Descriptive surveys are crucial in agribusiness research, providing detailed insights into agricultural practices and factors affecting productivity within a specific population. These surveys utilize statistical tools such as frequency percentage and weighted mean to accurately depict response distribution and measure the significance of variables. Synthesizing findings and ensuring proper citation and definition of terms in research helps draw meaningful conclusions and contribute to a broader understanding of agribusiness practices in the region. Incorporating literature demands a structured approach, starting with an introduction highlighting the topic's significance, organizing sources thematically or chronologically, and synthesizing findings while ensuring proper citation and defining terms for clarity. Descriptive surveys in agribusiness employed tools like frequency percentage to depict response distribution and weighted mean to gauge variable significance, offering precise insights into agricultural practices and factors affecting productivity within the surveyed population.

Requirements for water data ecosystems: results from a business ecosystem case study

This paper studies the factors that affect the emergence of water data ecosystems using a case study as a research method. The study is based on interviews conducted with partners in a comprehensive business ecosystem focused on the development of smart water network management. Eleven representatives from six private companies, the waterworks of a city, and three organizations that provide water supply management services for municipalities were interviewed. The paper presents analysis of the interview results focusing on the interviewees’ thoughts on the state of water data systems in Finland and on the factors that affect the emergence of water data ecosystems in Finland.The interview results indicate a clear need for water data ecosystems but also obstacles preventing their emergence. Inadequate understanding on the part of customer, a lack of water data, regulations, and underdeveloped agreements were seen to hinder the development of water data solutions. In addition to ecosystem development, the emergence of water data ecosystems requires investment and the development of water data solutions, solution concepts, and demonstrations to show the value of the ecosystem. The results show that ecosystems need a clear rationale and vision, effective management of water data sharing, and mechanisms to ensure the scalability of water data ecosystems.

Essential Steps and Strategic Considerations for Successfully Launching a Small-Scale Business

To achieve a successful launch of a small-scale firm, one must carefully navigate through many crucial procedures and strategic considerations. This review essay thoroughly analysed the fundamental activities and techniques required for a successful company’s commencement. Essential elements include completing comprehensive market research to find possibilities and comprehend competition, formulating a comprehensive business plan that delineates objectives, strategies, financial forecasts, and operational plans, and obtaining sufficient finance. The research highlighted the significance of robust financial management methods, including budgeting, cash flow management, and financial forecasting, to guarantee stability and facilitate development. Efficient allocation of resources, adaptation to market changes, and harnessing technology were important strategic considerations for overcoming common difficulties and attaining lasting success. The essay consolidated the latest research and optimal methodologies, offering practical insights for entrepreneurs to improve their company performance and overcome frequent challenges. Suggestions included consulting with specialists, being attentive to market fluctuations, and enhancing the availability of financial resources and support networks. This exhaustive analysis provided a beneficial structure for small-scale enterprises seeking to develop a robust basis for expansion and long-term sustainability. Keywords: Small-scale business, Business launch, Market research, Business plan, Financial management.

Data science and business value: Insight into the alignment process

We develop a comprehensive business - data science alignment model for deriving business value from data science initiatives, thus assisting business organizations in transforming digitally. With a purposive sample of 13 data science leaders in the capacities of C-level executives, semi-structured interviews were conducted to unfold their data science journey. The study extends the understanding from the business - IT/IS alignment literature to data science initiatives. The alignment dimensions and their components are extracted through the interview transcripts using a general inductive approach. We propose a business - data science alignment model as a dynamic and iterative process in which the data science initiatives are shaped while aligning with intellectual, operational, social, cultural, and societal dimensions to derive business value. The five most relevant components represent each of these alignment dimensions. The study emphasizes the groundwork to be done before investing in data science endeavors by capturing the learnings from the literature and practitioners. With the proposed data science alignment framework, our study offers to craft data science projects by guiding business executives in achieving business value.

Using Data Mining Principles in Implementing Predictive Analytics to Different Areas

This study delves into the realm of information-based knowledge discovery technologies and underscores the growing necessity for extensive data representation to enhance the management of care and mitigate the financial costs associated with promoting long-term care. The proliferation of information collected and disseminated through the Internet has reached unprecedented levels in the context of long-term financial health statistics, posing a challenge for businesses to effectively leverage this wealth of data for research purposes. The explicit specification of costs becomes paramount when dealing with substantial volumes of data. Consequently, the literature on the application of big data in logistics is categorized based on the nature of methods employed, such as explanatory, predictive, regulatory, strategic, and operational approaches. This includes a comprehensive examination of how big data analysis is applied within large corporations. In the healthcare domain, the study contributes to the evaluation of usability by providing a framework to analyze the maturity of structures at four distinct levels. The emphasis is particularly on the pivotal role played by predictive analytics in the healthcare industry through big data methodologies. Furthermore, the study advocates for a paradigm shift in management's perception of large business data sets, urging them to view these as strategic resources that must be seamlessly integrated into the company. This integration is seen as imperative for achieving comprehensive business analysis and staying competitive in the ever-evolving landscape of healthcare. The study concludes by shedding light on the limitations inherent in the research and delineating the specific focus areas that have been addressed.

Menumbuhkan Jiwa Entrepreneur Mahasiswa melalui Pelatihan Kreativitas dan Inovasi

Creativity and Innovation Training to Foster Entrepreneurial Spirit among Students aims to enhance students' knowledge, skills, and confidence in entrepreneurship. The training methods employed include lectures, group discussions, brainstorming, simulations, case studies, workshops, and individual mentoring. Training materials cover entrepreneurship concepts, business opportunities, entrepreneurial characteristics, brainstorming techniques, business model canvas, business plan components, marketing strategies, financial analysis, motivation, self-leadership, and time management. The training outcomes indicate an average increase in entrepreneurship knowledge test scores from 60 to 85. 25 students were able to develop complete business model canvases, and 22 students created comprehensive business plans. Participants also demonstrated improved abilities in generating creative and innovative business ideas, as well as increased confidence levels in initiating and developing businesses. This training shows positive results and can serve as a model for other entrepreneurship training programs to assist students in achieving their career goals as entrepreneurs.

From drops to drums: Assessing rainwater storage’s quality and quantity for addressing water demands in dry periods – A case study from Arusha Tanzania

Sustainable Development Goal 6 highlight the importance of providing reliable, affordable, and safe source of clean drinking water and sanitation for all by 2030. In Tanzania there is a dire need of a water supply strategy due to high levels of natural fluoride contamination in ground water (upto 74 mg/L) and the challenge of meeting water demand during 5 months long dry period. This study assesses social and technical feasibility of implementing rainwater harvesting (RWH) along with treatment technologies that includes Denutritor® to remove ammonia/pesticides and ultrafiltration to eliminate carbon. This integrated technology known as “Mbinguni Maji” is aimed for the long-term water storage to supply drinking water throughout the dry season. The methodology involves i) Assessing the technical feasibility of RWH using database from QGIS and Water Productivity Open-access portal (WaPOR) from the Food and Agricultural Organization of the United Nations; ii) conducting pilot demonstration in 5 different locations in Tanzania; and iii) conducting socio-economic survey for social acceptance of the technology through detailed questionnaires administered to residential homes, medical facilities, schools, hotels, and water kiosk owner. The result indicates that, from technical perspective, there is ample rainfall (average of 1036 mm/year) to supply water throughout the dry season, primarily for drinking and cooking purpose only (upto a maximum of 10 lpcd). The pilot demonstration confirms that the Mbinguni Maji RWH technology produce water that meets WHO water quality standards. The produced water is free from nutrients like carbon and ammonia, ensuring the possibility of long-term storage without bacterial and algal growth. Furthermore, Lab scale demonstration of Denutritor® show promising result of removing nitrite, ammonia even at high elevated temperature (30 °C), which can be effectively applied in Tanzania. In terms of social acceptance, RWH technology is already widely practised in Tanzania during the rainy season. However, the initial investment costs and operation & maintenance (O&M) concerns hinder the usage of RWH technology. Therefore, to ensure the long-term sustainability of RWH technologies, there is a need of development of comprehensive business plan and community awareness campaign.

Evolving role of the health system CIO: perspectives from 33 health systems

ObjectivesThis study explores the evolving position of the health system chief information officer (CIO) by identifying new core roles for success.MethodsAn advisory board of industry executives and system leaders guided...

Challenges of the new Fiocruz Biodiversity and Health Biobank for preparedness and response to emerging and re-emerging infectious diseases

During the COVID-19 pandemic, the Oswaldo Cruz Foundation (Fiocruz), a Brazilian federal research institution supported by the Brazilian Health Ministry, established a biobank. This biobank began by preserving the SARS-CoV-2 virus and human biological material related to COVID-19. This innovative initiative combined human and biodiversity materials within a single infrastructure. Designed for supporting research, development, and innovation in healthcare and preparedness and response to emerging and re-emerging infectious diseases, the biobank’s focus has since expanded to include various biological materials, leading to its renaming as the Biodiversity and Health Biobank - Fiocruz-BBS (Portuguese: Biobanco da Biodiversidade e Saúde da Fiocruz – BBS-Fiocruz). This paper outlines the challenges of creating and maintaining an adequate infrastructure in a developing country for promoting and supporting scientific research and biotechnological innovation activities in health through processes of depositing, characterizing, preserving, and supplying human and biodiversity biological materials, alongside associated data, while complying with prevailing legal and ethical rules. These processes adhere to stringent quality, biosafety, and biosecurity standards set forth in ISO 20387:2018. Additionally, the challenges of ensuring the Biobank’s long-term sustainability is discussed. This involves a) establishing benchmarks and best practices, b) developing a comprehensive business plan, c) forging partnerships, d) diversifying funding sources, e) ensuring ethical and legal compliance, f) implementing rigorous quality control procedures, and g) investing in human resources and infrastructure. The insights shared in this paper will benefit other biobanks engaged in services related to tropical infectious diseases.

Comparative Analysis of Social and University Incubators from The Perspective of Public-Private Partnership

As the concept of corporate sustainability is being advocated, social innovation is also gradually gaining importance. Many startups encounter difficulties in their early stages of development, both in terms of operations and capabilities. Companies with business support can shorten the time to adapt to the market and increase the survival rate of startups. Meanwhile, incubators supporting entrepreneurship have evolved into different forms with the development of various industries. Incubators, which support entrepreneurship, have evolved alongside various industries, with some focusing specifically on social issues. Incubators focusing on social issues have also emerged, yet only a few studies have investigated social incubators. Therefore, this study conducts multiple case studies focusing on startups in the creative industry. weIt examines the processes of participating in both social incubators and university incubators, employing a comparative analysis framework based on the theory of Public-private partnership (PPPs). We selecting potential candidates from the list of supported companies listed on the incubator websites and choosing those within the creative industry domain, inviting them to participate in interviews. The study found that clustering similar types of enterprises helps deepen and enhance their growth. On the other hand, social incubators, due to their goals, resources, and activities, can provide more opportunities for collaboration with private enterprises and access to industry resources. Additionally, participation in university incubators not only provides comprehensive business support but also access to key resources for collaboration with the public sector. The experiential evidence from case studies of creative industry incubators in Asia fills the research gap related to social incubators. Through the comparison of different types of incubators, it enriches the knowledge base of stakeholders (private enterprises, government, universities, and business incubators) regarding PPPs. It aids researchers and practitioners in gaining a more comprehensive understanding of the current status and future directions of incubator development, highlighting the distinct roles and contributions of social and university incubators in supporting startup growth and innovation.

Small‐ and medium‐sized enterprises' carbon footprint reduction initiatives as a catalyst for green jobs: A systematic review and comprehensive business strategy agenda

AbstractMotivated by the growing attention on climate change, this study provides an up‐to‐date and comprehensive systematic literature review (SLR) on small‐ and medium‐sized enterprises (SMEs) carbon footprint reduction initiatives and green jobs. Based on datasets from databases that include Web of Science, Scopus, ProQuest and Google Scholar, we conducted a SLR of 70 published articles spanning 2012 to 2022. Using VOSviewer and InfraNodus, bibliographic cluster analysis revealed the existence of three clusters namely; the role of green job initiatives and green human resource management in SMEs (cluster 1); green innovation, green Initiatives, green strategy and circular economy in SMEs (cluster 2); carbon footprint reduction initiatives, carbon performance, carbon management and carbon emission in SMEs (cluster 3). We found that SMEs adopt green supply chain, employing energy‐saving strategies, eco‐friendly waste reductions and recycling, circular economy, and green office practices. The study results indicate that these carbon footprint initiatives can lead to green job creation since green competences are required to implement green initiatives. However, value propositions relating to carbon reduction initiatives within SMEs need to be integrated with employee engagement. Additionally, the SLR identifies future research areas that include exploring the association among SMEs carbon footprint, green innovation and green jobs, and strategies to enhance climate change initiatives. Consequently, we call for future research to focus on the design of green jobs tracking and carbon footprint reduction reporting framework to support SMEs' green initiatives. The findings have key policy implications for SME owners, policymakers, practitioners and future researchers.

Reflections on Teaching the "Advanced Comprehensive Business English" Course

Reflections on Teaching the "Advanced Comprehensive Business English" Course

Inaugural Editorial

Welcome to the inaugural issue of the Journal of Comprehensive Business Administration Research (JCBAR). It is with great pride and enthusiasm that we launch this platform dedicated to advancing the field of business administration through high-quality, peer-reviewed research. The primary aim of JCBAR is to bridge the gap between theory and practice in business administration. Our objective is to provide a forum where researchers, practitioners, and policymakers can share insights, innovations, and methodologies that address the complex challenges faced by modern businesses. I strive to promote a deeper understanding of business practices and foster the development of strategies that can lead to improved organizational performance and economic growth. JCBAR is committed to publishing research that is both rigorous and relevant. I seek to highlight studies that not only advance academic knowledge but also offer practical implications for business leaders and policymakers. By doing so, I hope to facilitate a continuous dialogue between the academic and business communities, ensuring that research findings are translated into actionable strategies.

Financial Analysis of Establishing Cicendo Eye Center in Garut

Engaging in business inevitably involves encountering many barriers and limits, such as the Shisendo Eye Clinic. While the primary focus of this project is eye health, it is crucial to do a comprehensive business feasibility analysis to prevent failures and mitigate any hazards in the future. This study aims to elucidate the business viability assessment for establishing the Cicendo Eye Clinic in the city of Garut, focusing on internal areas of the organization, including marketing, technical operations, management, and human resources. In this instance, the emphasis is primarily on the financial aspect. The employed techniques are both descriptive and analytical. Data collection methods encompass observation, interviews, document analysis, and literature review. Data analysis methods employ both qualitative and quantitative approaches. Qualitative data is essential for non-financial sectors, while quantitative data is necessary for financial and commercial sectors. The use of statistical techniques and the Microsoft Excel software program facilitates the analysis of quantitative data. According to the statistics and analysis of the establishment of the Garut Main Clinic of Centro Oftalmológico Sisendo, the clinic was able to recoup all investment expenses within three years of operation. The internal rate of return (IRR) is the discount rate at which the net present value of an investment becomes zero. A potential investment is considered viable if the internal rate of return (IRR) surpasses the anticipated rate. The internal rate of return (IRR) for the new clinic project at the 5-year Break Event Point (BEP) is 21.5% annually. Hence, this project is feasible and can be further pursued.

Analysis Of the Impact of ESG Performance on Enterprise Value

Environment, Society, and Governance (ESG) are comprehensive business practice framework that requires companies to consider the environmental, social, and corporate governance structure while pursuing economic benefits. This concept has become an indispensable part of modern enterprise management and is of great significance for shaping the long-term value of the enterprise. In the field of corporate governance, ESG advocates for an efficient, transparent, and responsible management system to guide enterprise operations. Effective regulatory mechanisms, such as independent board members, improved audit procedures, and risk management strategies, are all necessary to ensure that stakeholders' rights and interests are respected and protected. In addition, companies should be committed to fighting corruption and ensuring that all stakeholders have a say in the decision-making process. ESG is an enterprise that profoundly changes business philosophy and behavior. It aims to seek a balance between economic value and social value, help enterprises better obtain and consolidate competitive advantages, promote enterprises to return to their heart and conscience, and achieve a higher level of management and profit creation. This paper analyzes the influence on the concept of corporate value and social value from three aspects of environmental protection, social responsibility fulfillment, and corporate governance, and puts forward ideas and suggestions based on the concept of sustainable development.

Financial big data management and intelligence based on computer intelligent algorithm

With the acceleration of China’s economic integration process, enterprises have gained greater advantages in the fierce market competition, and gradually formed the trend of grouping and large-scale. However, as the scale of the company increases, the establishment of a branch also causes many problems. For example, in order to obtain more benefits, the business performance of the company can generate false growth, resulting in financial and operational risks. This paper analyzed the current situation and needs of enterprise financial control from two aspects of theory and practice, combined with specific engineering projects, taking ZH Group as an example, according to the actual situation of the enterprise. The article first introduces the basic situation of the enterprise; Then, the financial control strategy was designed, and different modules were designed to achieve financial control; Afterwards, use a reverse neural network to evaluate the effectiveness of financial management and risk warning; Relying on particle swarm optimization algorithm to seek the optimal solution and applying it to financial management and risk warning, in order to improve the level of introspection and risk management in decision-making. Finally, the value of computer intelligence algorithms in financial big data management is evaluated by constructing a financial risk indicator system. Through the analysis of enterprise financial management, the total asset turnover rate of ZH Group decreased by 0.39 times in 5 years. After 5 years of adjustment of the company’s business, the company’s overall operational capabilities still needed to be improved, and the company’s comprehensive business capabilities also still needed to be improved. Therefore, the application of intelligent algorithms for financial control is very necessary.

THE NEED FOR BUSINESS MODELS IN ACCESSIBLE, INCLUSIVE AND SUSTAINABLE TOURISM

Objective: Accessible, Inclusive and Sustainable Tourism has gained significant prominence, reflecting a growing global awareness of the need for inclusive and environmentally responsible travel practices. The literature gap found regarding the absence of a comprehensive business model is the main goal of this research. Theoretical Framework: This study systematically compiled and evaluated the recent research studies on Accessible, Inclusive and Sustainable Tourism to contribute to the evolution of business models in the broader scope of tourism and tourism services. Method: A three-step process was followed to achieve this goal, comprising an initial research phase and a detailed performance analysis using various bibliometric techniques and visualisation tools, culminating in carefully selecting pertinent articles. Results and Discussion: The study confirmed the scarcity of articles that address this topic, with a tendency to conceptualise entirely new business models instead of adapting existing frameworks with new value propositions making them more accessible, inclusive, and sustainable. Research Implications: The practical and theoretical implications of this research provided insights into how the results can be applied or influence practices in the field of tourism. These implications could encompass all tourism areas, from hospitality to restaurant offers. It presents an important managerial clue to guarantee the tourism businesses' true inclusiveness and sustainable characteristics. Originality/Value: This study contributes to the literature by filling a gap. The relevance and value of this research are its managerial contributions, which confirm the need to incorporate characteristics of accessibility, inclusion and sustainability into any tourism business model.

FACTORS INFLUENCING SMALL AND MEDIUM ENTERPRISES' DECISION TO APPLY FOR BANK LOANS: A QUANTITATIVE ANALYSIS IN VIETNAM

This study investigates the determinants influencing the decision of Small and Medium Enterprises (SMEs) to apply for bank loans. Drawing upon a theoretical framework encompassing human capital, firm attributes, business strategy, and information asymmetry, we develop a model to predict SMEs' propensity to seek bank financing. Employing a quantitative methodology in Vietnam, we utilize a hypothetical-deductive testing approach on primary data collected through questionnaires focusing on loan applications. Our findings reveal several significant factors influencing SMEs' inclination towards bank loans. Contrary to expectations, the business experience of a firm's owner exhibits no significant correlation with the likelihood of applying for a bank loan. However, variables such as the educational background of the firm's owner, firm size, collateral availability, and interest rates on loans exhibit negative associations with loan application propensity. Conversely, factors including the presence of comprehensive business plans and establishment of relationships with bankers during start-up phases demonstrate positive relationships with SMEs' inclination to apply for bank loans. This study contributes to the understanding of SMEs' financing decisions and provides valuable insights for financial institutions in designing tailored lending strategies to meet the diverse needs of SMEs.

Investigating information security risk management in Yemeni banks: An CILOS-TOPSIS approach

In today's digital age, the banking sector faces increasing challenges in ensuring operational resilience, protecting customer assets, and maintaining a competitive edge. Prioritizing information security risk management (ISRM) practices is crucial to effectively address these challenges. This paper aims to demonstrate the effectiveness of the multi-criteria decision-making (MCDM) method in evaluating and improving ISRM practices in Yemeni banks. The study employs an integrated CILOS-TOPSIS model, considering two criteria and five sub-criteria, with criteria weights determined using the CILOS method. The results highlight the significance of specific criteria in ISRM, with the existence of a comprehensive business continuity and disaster recovery plan (C2.1) standing out as a top priority (weight: 0.266). Additionally, the frequency of data backups and the presence of an active backup policy (C2.2) and the adequacy of physical security measures (C1.1) are identified as crucial factors (weights: 0.228 and 0.203, respectively). Furthermore, the TOPSIS method is employed to rank 13 banks based on these criteria, revealing the top-performing banks as B10, B4, B13, B1, and B12. Conversely, the 7th, 5th, and 6th ranked banks require attention for improvement. The paper provides comprehensive details on criteria weighting, bank ranking, and recommendations for enhancements. The findings presented in this paper offer valuable insights to decision-makers in the banking sector, enabling them to effectively guide their efforts and allocate resources to areas, controls, and banks that require greater attention.