Business Choices Research Articles

The Influence of CEO Possession Attachment on Successor Choice in Family Business

The Influence of CEO Possession Attachment on Successor Choice in Family Business

Business choice, location decision and success of small and medium enterprises in Uganda

PurposeThis paper aims to report on the results of a study carried out to establish the contribution of business choice and location decision to the success of small and medium enterprises in an emerging economy like Uganda.Design/methodology/approachThis study is cross-sectional and correlational. Data were collected through a questionnaire survey of 181 small and medium restaurants. The data were analyzed through correlation coefficients and hierarchical regression using statistical package for social sciences.FindingsThe findings reveal that both business choice and location decisions positively and significantly contribute to the success of small and medium enterprises. However, it was noted that more attention should be paid to location decision than business choice as determinants of SME success.Originality/valueTo the authors' knowledge, this is the first study to investigate the contribution of business choice and location decision to the success of SMEs using evidence from a developing African country like Uganda. Finally, this research offers practical contributions to managers and owners of SMEs who have to make strategic decisions for firm profitability, survival and growth in the competitive business arena.

Leveraging AI and Machine Learning in Salesforce for Predictive Analytics and Customer Insights

Today's data-driven business climate is driving companies to use AI and ML to achieve a competitive advantage. Salesforce is a major CRM platform that uses AI and ML for predictive analytics and customer insights. This abstract discusses how Salesforce's AI and ML integration can transform company operations with actionable insight and prediction. Salesforce's Einstein AI framework leads this integration. Einstein integrates AI into Salesforce's technologies so organizations may use predictive analytics without data science knowledge. Einstein helps enterprises automate data analysis, predict patterns, and get insights from massive data sets.AI and ML in Salesforce improve consumer insights. AI-driven analytics can better segment clients, discover behavior trends, and forecast requirements. Segmentation allows individualized marketing, better customer service, and targeted sales. Businesses may use predictive algorithms to target at-risk clients with retention initiatives. Additionally, AI and ML provide sophisticated lead scoring and opportunity management. Machine learning algorithms can grade leads for accuracy and anticipate which opportunities will close by analyzing previous data and present interactions. Sales procedures are streamlined and revenue increases. Sales teams may prioritize high-value prospects and concentrate on high-probability opportunities by integrating these tools into Salesforce. AI-powered automation streamlines corporate operations too. Salesforce's Einstein automates data input, reminders, and reporting. This boosts operational efficiency and frees up staff time for strategic projects. AI automation keeps data current and accurate, improving business choices.

The Value Network for Madhya Pradesh Minor Forest Produce Federation: Facing Off Product Diversification Dilemma

Commercial forestry sector in India is largely state owned. Madhya Pradesh is a unique state in India in the sense that two different forms of the organizations are working for timber and non-timber production in the state. It’s notable that Government of India has endorsed this model of doing commercial forestry and advised all the states in the country to adapt this model. It becomes important then to review the business model of the state’s forest resources especially the non-nationalized forest produce which is open for private sector. Unlike leading India based business entities like Patanjali, Dabur and Himalaya, the income generated through the network of the MP Minor Forest Produce (MFP) federation (which is government supported entity) is majorly distributing the profits among the collectors of the herbal produce. The thriving of this federation network is essential for the sake of livelihood, conservation and public health. These outcomes are relevant in the context of achieving the sustainable development goals. An independent consultant Mr. Darpan Kumar (pseudonym) analyses the business choices available in the industry and the state of strategic direction of the federation. The study presents the product/business diversification dilemma.

Factors influencing e-cargo bike mode choice for small businesses

As a viable alternative to traditional and electric cars and vans, e-cargo bikes have the potential to improve the sustainability of urban logistics operations, particularly for last-mile deliveries. In this study, e-cargo bike trips are modelled from a small business pilot rental scheme, and the effects of identified variables of: a) trip length and b) rainfall conditions on the attractiveness of e-cargo bikes as a mode of goods delivery are assessed. For the study, an intelligent modelling framework consisting of a) Data Acquisition System, b) Intelligent Learning Unit, and c) Output Unit is built. The effectiveness of the learning system is evaluated through its application as a case study in Dublin, Ireland. It is discovered that small businesses prefer e-cargo bikes for goods delivery over longer distances in warmer and drier weather conditions. There is a strong interaction effect between weather and distance. A drop in temperature exacerbates the deterring effect of the wet weather, making e-cargo bikes less appealing as a mode of goods delivery for small businesses. Following weather conditions, the critical variable influencing trip length is trip hour, a spatial variable used in the study as a lurking variable representing the traffic flow peak. The study concludes a strong joint effect of wet weather and temperature that affects the attractiveness of e-cargo as a mode of small business goods delivery. The study demonstrates the benefit of using a hybrid modelling framework in trip and mode choice modelling for sustainable logistics modes.

PEST and SWOT Analysis of The Chinese Version of TikTok

This paper applies PEST analysis to The Chinese version of TikTok, a video-sharing app developed by Zhang Yiming-He and founded in 2016. It examines how TikTok has adapted to different market conditions over time using PEST and SWOT analyses. This paper will provide critical insights into how The Chinese version of TikTok has developed from the perspective of the company's top management team in light of changes within the market since its establishment to help them make decisions about their strategy going forward. It will also look at changes in social behavior over time to explain their resilience. The PEST study of the Chinese version of TikTok reveals that the political paradigm of the technical element, which includes the AI big data algorithms and the AI economic calculation model, can stimulate public interest because it is a content platform. As a result of its monopolistic nature, however, it is motivated by a desire to serve the public interest. PAFBJR-301001 can see the opportunities that arise from these problems, but the benefits of technological advances are less noticeable. According to the SWOT analysis, five main advantages stem from the technical aspects. First, it has a vast user volume, which means it has acquired many data on user behavior. Second, it has powerful Big Data-based financial debugging skills. Third, it has access to cutting-edge artificial intelligence tools and data. In the fourth place, it has created an advertiser-friendly platform. As the last step, it has established a public service-oriented website. Because it relies on Big Data, AI's technical flaws—including its flawed big data algorithms and extremely conservative economic calculating model—are greatly relieved because it relies on Big Data. Business choices under a centralized economic paradigm have to be made at the top, reducing room for creativity. Another flaw is that there is no internal mechanism for The Chinese version of TikTok to adapt to changing circumstances or industry trends. The AI big data algorithms and the AI economic calculation model face competition from other participants in this industry who may have access to a more comprehensive database and superior artificial intelligence equipment.

NASCENT PERIOD ANALYSIS, FACTORS THAT ARE IMPORTANT TO STARTING A BUSINESS, BUSINESS MOTIVATION, AND EFFECTIVENESS OF IMPLEMENTATION OF STUDENT ENTREPRENEURSHIP PROGRAM: CASE STUDY OF BUSINESS START-UP MEMBERS OF HIPMI PT UNIVERSITAS WIDYATAMA

This study aims to find out what the nascent period of Widyatama University students is and what factors they think are important to get out of the nascent period to become a start-up business. This study also aims to determine the motivation of students who are the sample of entrepreneurship research and whether the Student Entrepreneurship Program (PKM) has been running effectively in helping students who are the research samples to become new entrepreneurs. The research method used in this study is the Ex Post facto descriptive method. Ex Post Facto research on new entrepreneurs who became the research sample aims to reveal the factors that they consider important to start a business. They were also asked about the nascent period, motivation for entrepreneurship, the choice of business to run, the amount of business capital needed, and the effectiveness of implementing the PKM program at Widyatama University. The results of the study show: (1) The nascent period of the entrepreneurs of HIPMI PT Widyatama is much shorter than the nascent period of the previous research which reached more than one year. (2) Capital is still considered the most important factor to start a business. (3) Based on the motivation to start a business, most of the research samples can be classified as opportunity-based entrepreneurs. (4) The PKM program run by the government has effectiveness in supporting the formation of entrepreneurs on the Widyatama University campus.

Between the Private Company and the LLP: Deciphering a Path for Small Businesses in Nigeria

This article questions whether the limited liability partnership form which was introduced in Nigeria in 2020 is set to displace the private company as the legal form of choice for small businesses and owner-managed entities. It compares the legal provisions relating to the private company and the limited liability partnership as provided for under the Companies and Allied Matters Act 2020, and highlights their relative strengths and weaknesses. It notes that while the attractions of the limited liability partnership are significant, recent reforms of the private company may have also positioned that form to be relevant and equally appealing to small businesses. It concludes that while the limited liability partnership will be highly appealing to professional partnerships in Nigeria, the private company would continue to remain relevant for some time to come particularly as it is now possible for sole proprietors to trade under that form as one-man companies.

FAKTOR-FAKTOR YANG MEMPENGARUHI KONSUMEN DALAM PENGAMBILAN KEPUTUSAN PEMBELIAN SAYUR ORGANIK PADA USAHA KEDAI TANIKU

Kedai Taniku is a digital platform for providing horticultural agricultural products, one of which is organic vegetables. The Kedai Taniku business is a newly developed business that requires information regarding consumer factors in making purchasing decisions as well as consumers who do not buy organic vegetables at Kedai Taniku where this information can be used as a reference for developing the Kedai Taniku business. This research was conducted in West Aceh District, namely in the Kedai Taniku business. The choice of business in this study was carried outpurposivelybecause it is a digital platform for marketing agricultural products that partners in the ORMAWA BEM FP UTU service program and is a newly developed business. This research was conducted from October to November 2022. The method used in this research is the Logistic Regression method. Based on the data processing, it is obtained that variables that have a significant effect on purchasing decisions/decisions are not variables that affect purchasing decisions/decisions not to buy including Revenue (X1) with sig. 0.004, Lifestyle (X2) with sig. 0.035, Price (X3) with sig. 0.017, and Promotion (X6) with a sig. 0.020, Distribution (X7) with sig. 0.005, Quality (X8) with sig. 0.039. The variables that have no effect include the Process variables (X4) and Location (X5).

EDITORIAL - Going Digital – A do-or-die choice for businesses!

The term “digital” is now ubiquitous and one of the most used and cited word in the everyday life, throughout the world. Although the word saw the light somewhere in the mid-17th century, it’s has been vastly evolved from referring to digits, i.e., fingers, to numerical digits, thus entering the 20th century through the radio and recording technologies to the 1950’s world of computers. Actually, the digital transformation is the most comprehensive and game changer’s process the world has seen since the First Industrial Revolution. As it laid the foundations for the Fourth Industrial revolution, now it is part of our economic and social life, in a capillar way. As Norqvist (2018) puts it, “digital transformation of society refers to a process where humans are re-shaping the way society ‘works’ by ways of interpreting and understanding society, including the usage of digital technologies in everyday life.”

Financial feasibility of selling frozen produce in local and regional markets

Abstract Farmers and food entrepreneurs are encouraged to enter direct and intermediated markets for value-added food products, but do not have information that they need to determine whether the markets are financially feasible for their operations. We conduct timed trials in a state-of-the-art regional shared-use food processing facility in the Northeast, and test production costs for two high-quality, safe, value-added frozen products: blueberries and spinach. We combine this with research on capital costs, field research on distribution costs and baseline per-unit revenues, and published research on potential market returns, and assess the conditions under which frozen produce sales can be a good business choice for farmers and food businesses in local and regional food markets. We develop a roadmap and a calculator tool that potential market entrants, extension agents, regional food business centers and other agricultural support providers can modify to reflect local and regional market conditions. The tool can help determine whether entering the frozen produce market is a good fit for a farm or food business. In general, we find that frozen regional blueberries have potential to generate a profitable return for medium-scale farmers with access to a shared-use facility, or farmer aggregators with the ability to invest in their own facilities. Frozen regional spinach is unlikely to generate a profitable return at the regional scale. Our results provide critical information to policy makers regarding the scale of production necessary to justify investments in regional shared-used kitchens. Results also suggest that policy makers should be cautious when encouraging farmers and food businesses to enter value-added markets, as there is significant potential for these markets to under-perform.

Business Intelligence Data Visualization for Diabetes Health Prediction

In today's environment, Business Intelligence (BI) is transforming the world at a rapid pace across domains. Business intelligence has been around for a long time, but when combined with technology, the results are astounding. BI is also playing an important role in the healthcare domain. Centers for Disease Control and Prevention (CDC) is the largest science-based, data-driven service provider in the country for public health protection. For over 70 years, has been using science to fight disease and keep families, businesses, and communities healthy. However, research indicates that the prevalence of diabetes in the US is rising alarmingly. As a result, if diabetes is not treated, it can lead to life-threatening complications such as heart disease, loss of feeling, blindness, kidney failure, and amputations. As a result, this study was conducted to analyze people's health conditions and daily lifestyles in order to predict which type of diabetes they would most likely diagnose with the implementation of business intelligence using Tableau dashboard. Furthermore, background research is conducted on CDC to understand their work, challenges, and opportunities. By the end of the project, the information obtained and visualized should be able to enhance business choices and make better decisions on controlling diabetes in the future.

C-Suite Bias, Firm Characteristics, and Capital Structure Decisions of Quoted Industrial Firms in Nigeria

Most people exaggerate their own skills and accomplishments, which can have disastrous results. The C-suite has a tremendous impact on business choices, as decisions made in the workplace can be skewed by unconscious prejudice, and this bias can have negative consequences. Therefore, this study explores C-suite bias, firm characteristics, and capital structure decisions of quoted industrial goods firms in Nigeria. Data from 2002 to 2020 was used in an ex-post-facto research design while pooled OLS was used for analyses. The study found that C-suite tenure had a favourable influence on capital structure, suggesting that the duration during which C-suite executives govern their firms' affairs has a beneficial effect on the capital structure decisions. Therefore, the study advances that corporations should enable C-suite members to serve for a longer period of time; because the longer they remain at the helm of the company's affairs, the better their capital structure decisions.

OPTIMALISASI PENGGUNAAN INSTAGRAM SEBAGAI UPAYA UMKM NAIK KELAS Di DESA KUBANG JAYA

Usaha Mikro Kecil dan Menengah (UMKM) has recently become a trend in the field of entrepreneurship. It becomes a business choice for beginners. The variety of product types in UMKM increases the competition. Minimum stock and medium facilities become the obstacles in developing their business. Social media such as Instagram (IG) can be used as alternative media promotion due to their accessibility and low cost. This community services activity aims to educate the UMKMs in the village of Kubang Jaya about the use of social media Instagram as promotion product media. In addition, this activity also conducts training in taking product photos to increase the selling price. This activity uses a contextual approach method such as; a theoretical class and workshop. The participants can directly update their photo products on their own Instagram. The results of this activity were their understanding the Instagram as a marketing media.

Adapting Digital Technologies to Reduce Food Waste and Improve Operational Efficiency of a Frozen Food Company—The Case of Yumchop Foods in the UK

Cold storage is an essential operation for many food products in cold supply chains. The main objective of this kind of storage is to preserve the food products for a certain period of time. However, often due to a lack of accurate technology, humidity and temperature in food storge are not monitored in real-time, which will affect the food quality. At present, the Internet of Things (IoT) has become a very popular choice for businesses in food supply chains. This is mainly because of the easy availability of internet, which helps monitor and control the quality of food in storage and transport. In this paper, the experiences of adapting and testing IoT sensors and Big Data technology for reducing food waste in a frozen food manufacturer in the UK are presented. The temperature and humidity monitoring within the operations of this ready-to-eat frozen meal company are also expected to maintain food quality and adhere to legal food safety requirements. Our reflection of experience gained in the installation of the sensors, collecting the data to a cloud server, and conducting data analytics with the data are also described. During the implementation of the technology, the company was able to identify optimal and non-optimal storage conditions for their food products and pre-processed ingredients. This allowed the further development of an alert system and corrective action protocol assisted using the technology installed. Results of the case study evidenced and reported a thorough real-time monitoring system that was able to reduce food waste and assure product quality, which could be applied in different stages of the food supply chain. This case can influence several food businesses to start adapting technology in their routine operations to ensure food quality and safety.

FAKTOR – FAKTOR YANG MEMPENGARUHI RASIO PERUBAHAN LABA PADA PT. INDOFOOD SUKSES MAKMUR TBK.

In this study found a problem, namely Asset Value, Debt Value and Profit Value at PT. Indofood Sukses Makmur Tbk. experiencing fluctuations. This study aims to determine the effect of Current Ratio, Debt to Equity Ratio, and Return On Assets to changes in earnings and the purpose to determine the effect of Current Ratio, Debt to Equity Ratio, and Return On Assets to changes in earnings. a list of tables in the form of financial statements containing the Statement of Net Profit, Gross Profit, Net Sales, Total Equity, Total Liabilities and Total Assets. The population is 20 years and the sample is 15 years. The object of this research is located at PT. Indofood Sukses Makmur, Tbk with its address at Sudirman Plaza, Indofood Tower, 21st Floor. The data collection techniques in this research are library and documentation studies. This data analysis was carried out with the help of the SPSS program, namely by performing multiple linear regression analysis through the requirements test, namely passing the classical assumption test consisting of normality test, multicollinearity test, heteroscedasticity test, autocorrelation test and hypothesis testing. Current Ratio (CR) has no significant effect on Changes in Profit. Return On Assets (ROA) has no significant effect on changes in profit. Debt to equity ratio (DER) has no significant effect on changes in earnings. and Current Ratio (CR), Return On Assets (ROA) and Debt to Equity Ratio (DER) have a simultaneous effect on Changes in Profit for Investors, the results of this study are expected to provide useful data in pursuing business choices. It is also believed that in making decisions not only depend on information related to the ratios contained in the study, but it is necessary to pay attention to other factors and ratios in relation to Profit Changes. For the company, it is expected to pay more attention to the company's ability to generate profits. For further researchers, it is expected to increase the variables and wider observations.

Business Environment in the Context of Cloud Computing: A Review

Many businesses now rely on cloud environments for both personal and corporate use due to the industry's expanding trend of constantly improving technology. The on-demand, pay-as-you-go delivery of IT resources through the internet is known as cloud computing. This indicates that the user just needs to make payments based on how much they use. In layman's terms, it refers to the idea of using the Internet to rent the processing power and storage capacity of a computer from another location. Users can get technology services like computing power, storage, and databases from a cloud provider on a pay-as-you-need basis rather than purchasing and maintaining their own physical data centers and servers. Our object of this article is to peer-review and examines numerous cloud tools, applications, and more to decide which is the best choice for both individual users and businesses. We have investigated the advantages that cloud computing offers.

Youth Entrepreneurship Support Model and Youth Business Associations

The relevance of the study of the youth business model is due to its significance in the entrepreneurial environment, since novice young entrepreneurs will determine the state of our economy in the future. Nevertheless, modernity poses many specific development problems for the younger generation, overcoming which is almost impossible without the support of experienced businessmen and the state. Targeted support for young people in the region will determine the possibilities of sustainable functioning and growth of small business, and this, in turn, will provide the basis for its economic development and increase its investment attractiveness. The purpose of the research presented in the article is to build an effective youth entrepreneurship model as a dynamic process in which a successful transition from one stage to another is ensured by a combination of competencies and favorable conditions provided at each stage by a certain set of forming and supporting structures. These structures play an important role in the formation and development of a young entrepreneur at certain stages of his life cycle, since their educational events, contests, information platforms increase the understanding of the possibility of using existing support methods and the confidence of young people in the correctness of the business choice made. The authors have identified the most active structures in Russia in the field of youth entrepreneurship support. Nevertheless, with all their activity, the activities of these structures are more focused on the allocation, support, training of young businessmen, which covers the first two or three stages of the dynamic process of youth entrepreneurship. As a result, youth organizations stop developing or fail. One of the reasons is the absence of a mentor, an adviser-consultant who can help to analyze the activities of the enterprise and suggest the direction of its development. It is established that the formation and development of youth business at many stages of its life cycle is influenced by business associations (associations of young and significant entrepreneurs for the realization of common goals).In such a way, the article highlights the most significant factors determining the sustainable development of youth business. Their integration is currently in in formative stage, and their isolated application does not always meet the interests of young entrepreneurs. Concerning the analyzed elements of support for the stages of youth enterprise formation are integrated into a matrix model that ensures the sustainability of the activities of talented young people who have connected their lives with the business sphere.

The Value of Communication Management in Agile Project Environments

In today's business environment, a less agile way of working is no longer a business choice. Implementing the agile method is not for fashion and not for keeping up with the “newest and greatest” trend. Without the agile method, it is difficult to implement any other strategic initiatives, such as digital transformation. Agile development focuses on the evolution of user needs and then uses a step-by-step approach as well as an iterative approach to software development. This paper finds that communication is vital in agile project management. The author puts forward some opinions on the communication management of agile projects, including the establishment of the information portal and agile communication matrix. Additionally, a literature review is performed to illustrate how certain variables, concepts, and models can assist in project management. This study takes a design-science-investigate approach to assess pre-existing literature.

Hotel Booking Prediction using Machine Learning

Abstract: In this Project ‘Hotel Booking Prediction’, an accurate booking cancellation forecast by which user know the things related to hotel bookings very earlier. Booking cancellation has a significant effect on revenue which essentially affects request the board choices in the inn business. To reduce the cancellation effect, the hotel applies the cancellation model as the key to addressing this problem with the machine learning-based system developed. By combining data science tools and capabilities with human judgement and interpretation, this project aims to demonstrate how the predictive analysis of the model can contribute to synthesizing and predict about booking cancellation forecasting. Furthermore, this project aims, by detailing the full prediction & analysis, to give relaxation to user who want to apply in particular hotel. By Implement Various Algorithms like Logistic, KNN, Random Forest, Decision Tree, etc. to classify the data and also use Evaluation Matrix to separate categorical data in particular type, user can know the prediction up to the desired level. It prevents the hotel as well as Tourists to poor dealing of room. User/Customer have to enter certain field by which this model detects his prediction about the cancellation. Keywords: Logistic Regression, KNN, Random forest, Decision Tree, Evaluation Matrix.