Business Volume Research Articles

Analisis Penilaian Tingkat Kesehatan Koperasi Syariah Dalam Upaya Meningkatkan Kinerja Di Koperasi As-Sakinah Sidoarjo

Financial Institutions are an important part in economic development in Indonesia, the existence of cooperatives is expected to realize the welfare of the community with the principle of helping. Considering, most indonesians are majority Muslim. However, in practice, cooperatives that develop today still use conventional systems, where in the view of the public there is still usury and is considered not in accordance with sharia principles. To make the operational principles of cooperatives in accordance with sharia principles, a Sharia Cooperative or Baitul Mal Wa Tamwil (BMT) was formed. The development of Sharia Cooperatives is very good in Indonesia. Based on data from the Ministry of Cooperatives and SMEs, the number of Sharia Cooperative business units reached 150,223 units with a total of 1.4 million members. The capital alone reached Rp.968 billion and the outside capital rp.3.9 trillion with a business volume of Rp.5.2 trillion. The purpose of this study is to find out the assessment of health level as well as the impact of health level assessment in an effort to improve the performance of Sharia Cooperative As-Sakinah Sidoarjo. This study uses qualitative descriptive method with case study approach that aims to gain in-depth knowledge related to events or problems that occur. The results of this study show that overall, the level of health of Cooperative As-Sakinah Sidoarjo can be said to be good even though there are still problems or obstacles that occur. The assessment of the level of health of cooperatives is able to improve the performance of cooperatives to be better and continue to improve in order to improve the development of cooperatives in the future.

POLICY STRATEGY OF BUSINESS PROFIT (SHU) THROUGH BUSINESS VOLUME USING NUMBER OF MEMBERS AND CAPITAL

This study aims to examine the effect of the number of members and own capital on business volume and SHU, as well as the SHU policy strategy. The research method used is an explanatory survey with the type of verification research. While the sampling technique used purposive sampling in order to obtain 12 KPRI PKPRI members according to predetermined criteria. The analysis technique uses path analysis supported by quantitative and qualitative data. The quantitative data used is in the form of the Annual Member Meeting (RAT) report book for the 2015-2019 period. The results showed that the direct effect of the number of members on business volume had no positive and significant effect. The direct effect of own capital on business volume had a positive and significant effect. The direct effect of the amount on SHU has a negative and significant effect. The direct effect of own capital on SHU has a positive and significant effect. The direct effect of business volume on SHU has a positive and significant effect. The indirect effect of the number of members on SHU through business volume has a positive and significant effect. The indirect effect of own capital on SHU through business volume has a positive and significant effect. Total determinants for the first and second models, namely 43.70% and 62.80% of the overall model which can explain the effect of exogenous variables on endogenous variables. Meanwhile, the remaining 56.30% and 37.20% were influenced by other factors not examined.
 This study aims to examine the effect of the number of members and own capital on business volume and SHU, as well as the SHU policy strategy. The research method used is an explanatory survey with the type of verification research. While the sampling technique used purposive sampling in order to obtain 12 KPRI PKPRI members according to predetermined criteria. The analysis technique uses path analysis supported by quantitative and qualitative data. The quantitative data used is in the form of the Annual Member Meeting (RAT) report book for the 2015-2019 period. The results showed that the direct effect of the number of members on business volume had no positive and significant effect. The direct effect of own capital on business volume had a positive and significant effect. The direct effect of the amount on SHU has a negative and significant effect. The direct effect of own capital on SHU has a positive and significant effect. The direct effect of business volume on SHU has a positive and significant effect. The indirect effect of the number of members on SHU through business volume has a positive and significant effect. The indirect effect of own capital on SHU through business volume has a positive and significant effect. Total determinants for the first and second models, namely 43.70% and 62.80% of the overall model which can explain the effect of exogenous variables on endogenous variables. Meanwhile, the remaining 56.30% and 37.20% were influenced by other factors not examined.

Research on Key Technologies of Intelligent Operation and Maintenance of Communication Network

Based on the analysis of the challenges faced by the operation and maintenance of communication network, this paper studies the intelligent operation and maintenance architecture of communication network. Using the accumulated massive communication network operation and maintenance data, the research explores the high-speed calculation of intelligent algorithm, rapid splicing of demand components, multi-dimensional visual interaction and other technical methods to effectively deal with the problems such as the surge of business volume, the difficulty of event handling, and the lack of personnel training. Research on key Technologies can ensure the safe and stable operation of information and communication network.

Analisis Faktor Pencetus Sisa Hasil Usaha pada Koperasi Sisa Hasil Usaha Se-Kabupaten Jepara

The purpose of this study is to analyze the factors that trigger SHU in multi-business cooperatives in Jepara. The object of this research is the multi-business cooperative in Jepara district. The method of data collection in this study uses the method of literature study and documentation carried out at the Department of Cooperatives, small and medium enterprises, Manpower and Transmigration, Jepara. Data were analyzed using multiple linear regression analysis. The results of this study indicate that the factors that trigger SHU are the number of members, cooperative assets, business volume, own capital and external capital. The results of the t-test analysis show that the number of members, cooperative assets, own capital and outside capital have a positive effect on SHU, while the variable volume of business has a negative effect on the SHU.

Impact of Coronavirus Disease (COVID-19) on Business in Edo State

The study assessed the impact of COVID-19 on business in Nigeria. Four research questions gave focus to the study. 234 respondents were used using an accidental sampling technique. A descriptive survey gave credence to the study. A reliability coefficient of 0.79 was obtained with the use of Cronbach alpha formula. Data was obtained with the aid of questionnaire. Research questions were answered with mean. From the result, it was discovered that COVID-19 impacted profit, sales volume and business cash flow. The study concluded that COVID-19 has impact on profit, sales volume and cash flow of business. It was also concluded business derived a lot of benefits from COVID-19 pandemic. Consequently, it was recommended that business owners should engage in market timing to enable their customers to know their time of opening, engage more in online sales to increase sales volume, as well engage in massive savings to avoid cash crunch during economic crises.

Financial Inclusion of Small & Medium Enterprises: An Analysis of Ijarah Based Financing

We critically analyse a particular case of Islamic financing “Ijarah”, availed by a small business that was previously unbanked and eventually attained exponential growth. Ijarah is an Islamic financing contract in which the use of an asset is rented out for a particular period against a pre-defined rent and may or may not eventually end into the transfer of ownership. The study revolves around a firm relationship between the bank and the customer who was previously unbanked but embarked on a lasting banking relationship due to the particular nature of Ijarah facility. Using qualitative data collected through interviews, observations and analysis of relevant documentations, we derive a number of important lessons for practitioners, academicians, students and the SMEs. First, the case represents an example of how customer engagement is at the core of successful business. Second, this case represents how a successfully implemented Ijarah financing helped the customer achieve exponential growth in assets size and business volume hence reflecting the real economic impact of Islamic Finance. Third, the study reveals a particular distinctive feature of Islamic financing i.e. being a successful driver of financial inclusion. The paper concludes with recommendations for the Islamic banks, shariah boards and the SMEs.

Comparison of Employment Generation in Organized and Unorganized Markets of Kolkata City

Retailing is defined as a set of activities involved in the selling of a product or service to definite customers ranging from vehicles to clothing to feast at restaurants to film tickets. Somayajulu et al. (2002) found several hurdles hampering the growth of organized retail in India. These hurdles included high intermediation, high supply chain costs, insufficient supply chain infrastructure, inflexible labor laws, multiple licensing requirements, etc. Retailers along these lines attempt different business exercises and perform capacities, for example, arranging, holding stock, and so on, that increase the value of the contributions they make to the objective sections. The retail industry is divided into two parts- Organized Retail Sector and Unorganized Sector. The research study intends to analyze the volume and nature of employment generated between organized and unorganized sectors of Kolkata. The study reveals that unorganized sector retailers did experience a slight decline in their volume of business and profit in the initial years after the entry of large organized retailers, but there was no evidence of a decline in overall employment in the unorganized sector as a result of the entry of organized retailers and hence none of the retailers would like to change their existing business in spite of having sufficient resources for changing business because all of them do not find any reason to change business

Digital modernization of Kazakhstan’s economy in the context of global trends

An academic interest in the topic of digital economy is caused by the ever increasing digital technology possibilities as a new production factor. In digital production, added value is obtained as a result of information procession using digital technology, the final products of which are new products and services. Digital economy contributes to the rethinking of existing economic relations and formation of new pure digital economy sectors as the basis for a new information economy. In this paper, we analyze theoretical aspects of the evolution of the «digital economy» concept; examine various scientific and expert opinions and views on current issues. The authors’ approach to the definition of «digital economy» concept follows from the economic theory of «productive forces and production relations,» and is based on the premise of «new production relations». This paper critically rethinks the state of digitalization in Kazakhstan, the implementation of the Digital Kazakhstan Program, which really showed the impact of the 2019-2020 coronavirus pandemic on digitalization, especially within healthcare, education, and public administration. The results of the study suggest that at present, digital knowledge and digital literacy skills are becoming an urgent need for most citizens to improve their efficiency of work and the employee qualification. A comparative analysis of the digital economy’s development level across leading and developing countries has shown a number of significant factors that hinder digitalization in Kazakhstan, such as the lack of a fullfledged digital infrastructure (IT capacity, limited technological capabilities, etc.).As a result of the study, we have determined a lag in both implementation of digital communication technologies and development of digital business in Kazakhstan. Simulation results show that the effective digital economy development in Kazakhstan requires ensuring a positive dynamics of such key digital growth indicators, as the availability of digital communication technologies and the volumes of digital business, which have a positive correlation with the development of digital literacy, and the level of e-government. Mathematical methods we used in writing this paper have allowed us to develop a predictive model of the digital economy development in Kazakhstan in the medium term. We have made specific conclusions and recommendations for the development of the digital economy in Kazakhstan for the near future.

Analysis of Strategy to Improve the Quality of "the Last Kilometer" Distribution Service

Due to the rise of modern online shopping, it has become an important force to promote the development of e-commerce. E-commerce is growing rapidly, the volume of express delivery business has increased , the quality of "last kilometer" delivery service is particularly important. In this paper, analytic hierarchy process (AHP) is used to find out the main factors of affecting the quality of delivery service in the "last kilometer ", so as to put forward the strategy of improving the quality of distribution service.

Problems and Countermeasures of China’s Social Security Information Construction Based on Computer

With the continuous improvement of social insurance management level and the continuous rise of relevant business volume, the current management level and ability of social insurance system has been unable to meet the growing requirements of the public. In this context, the construction and improvement of social insurance management system based on computer information also put forward higher requirements. Based on this, this paper first analyses the necessity of strengthening the information construction of social insurance, then studies the current situation and existing problems of social insurance information construction, and finally gives the countermeasures of social insurance information construction based on computer.

Performance implications of the buyer-supplier market orientation fit

Extant research examining the link between market orientation and performance offers few insights into how the interplay between a firm's market orientation (MO) and its key supplier's MO influences the firm's performance. Using archival and survey dyadic data from 876 firms (438 firm-supplier dyads), we explore the impact of MO fit (i.e., fit between the focal firm's MO and its supplier's MO) on the focal firm's performance (ROA). The findings indicate a direct and positive relationship between MO fit and ROA. This highlights the need for firms to focus both on their own MO and their key supplier's MO as sources of competitive advantage in today's business environment. The strength of the relationship between MO fit and ROA increases when the exchanged business volume increases between the focal firm and its supplier and when the respective relationship progresses in age. Furthermore, firms with MO fit perform best, followed by firms with higher supplier MO misfit (firm's MO is lower than its key supplier's MO), while firms with lower supplier MO misfit (firm's MO is higher than its key supplier's MO) are the laggards.

Antecedents of social sustainability noncompliance in the Indian apparel sector

Consumers expect global apparel suppliers to adhere to strict social sustainability standards following several deadly noncompliance incidents. This study provides a unique contribution to social sustainability governance by utilizing a causal-effect analysis to classify noncompliance antecedents into causal and effect groups and analyze the interactions. Combining a structured Delphi technique, involving thirty senior manufacturing professionals in the Indian apparel sector, with a fuzzy Decision-Making Trial and Evaluation Laboratory method (DEMATEL) revealed specific antecedents related to the adherence to social sustainability standards. The most influential antecedents identified were manufacturing cluster behavior, stringent regulations, multiple standards, business continuity, and buyer preference. Notably, the study theorizes that a supplier's compliance deliberations intertwine with operational considerations around business volumes, costs, inappropriate governance, and regional cultural norms. Stakeholder theory and the theory of reasoned action help explain the institutional logics underlying the interactions between antecedents and highlight the crucial need for local production hubs to adopt universal social compliance codes. To our knowledge, this research is the first to identify manufacturing cluster behavior as a leading cause of noncompliance, highlighting the need to recognize clusters as essential stakeholders. The study has notable implications for brands, suppliers, governments, manufacturing councils, and non-governmental organizations (NGOs) that call for coordinated action and new forms of governance to minimize the incidences of noncompliance by apparel suppliers.

Pengaruh Modal Sendiri, Jumlah Anggota Terhadap Pertumbuhan Koperasi Di Kota Pematangsiantar

The purpose of this research is to determine the effect of own capital and the number of members partially and simultaneous on the growth of cooperatives (SHU) in Pematangsiantar City Cooperative in 2017-2019 periods. Data collection in this study is conducted by interview, observation and documentation methods. The sampling technique uses purposive sampling. The number of samples in this study were 17 cooperatives with the 2017-2019 periods with population of 86. The analysis techniques have been carried outusing simple and multiple linear regression, with the program SPSS 21. The partial test results of the t test show that own capital has a positive and significant effect on SHU while the number of members has a negative and significant effect on SHU. Meanwhile the results simultaneous testing hrough the F test shows that the own capital and the number of members have a positive and significant effect on SHU. The results of the determinant test have an adjusted R square (R2) value of 0.227 which means that the effect of own capital and the number of members on SHU is 22.7% and the remaining 77.3% is explained by variables or other factors not examined in this study, such as loan capital, total deposits, business volume and total assets.
 Keywords : Own Capital, Number of Members, SHU

China's Annual Turnover of “Double Eleven Global Carnival” after COVID-19

The annual Double Eleven Global Carnival came to an end not long ago. Although the Double Eleven has just been founded for 11 years, it has become one of the most influential projects in the world with its amazing total sales and sales speed and its amazing influences. For 2020, compared with previous years, whether from the perspective of customer demand or the cash flow of the business itself, it seems to be unfavorable to the sales of Double Eleven. But unexpectedly, even though the economy of many enterprises in many countries has stagnated due to the pandemic, the volume of business this year has increased significantly. Moreover, the Double Eleven continued the style of previous years. It continued to expand overseas markets, and achieved win-win situation while cooperating with other countries. In fact, there are many factors behind such a seemingly strange phenomenon.

Reform and Innovation of Practical English Talents Training Mode in Colleges and Universities

Under the background of economic globalization, the demand for high-quality and practical English professionals is increasing. With the background of economic development and the open and inclusive policy, enterprises are encouraged to actively carry out international trade cooperation and increase the volume of international trade business. On this basis, it is necessary to absorb high-quality English professionals to lay a foundation for enterprises to carry out international business cooperation and follow-up development. However, there are some limitations in the way of cultivating talents. Therefore, it is necessary to truly implement the practical talent training program in light of the actual situation.

Inclusion of Retail and Wholesale Trade in Priority Sector Lending by UCBs: Emerging Business Opportunities

Recently, two major policy guidelines have been issued by Government of India and Reserve bank of India viz., (i) Inclusion of Retail and Wholesale as MSMEs in Priority Sector Lending (PSL) by Government of India and (ii) Reserve Bank of India asking UCBs to achieve the enhanced target of PSL from 40 per cent at present to 75 per cent by 2024. These have wider implications on business mix in PSL sector of the banks. In particular, inclusion of retail and wholesale trade in PSL and achievement of higher PSL target by UCBs is expected to change the business mix and enlarge the business volume of PSL sector. To understand how far this expectation to be fulfilled in the coming years, it calls for assessment retail and wholesale business prospects, review of UCBs in PSL in the past, studying current concerns and suggesting effective approaches to ensure good quality lending. In this backdrop, the paper is written.

Стратегія проєктування інформаційних систем підприємств для прийняття управлінських рішень

This work discusses modern approaches to the development of information systems of corporate enterprises, which are designed to provide the completeness of information for enterprise managers when making decisions. The need for a prompt solution of functional tasks that occur during the activities of a corporate enterprise requires complex automation of information collection and processing. The presentation of information in a form that is convenient for decision-making by the management of an enterprise is, as a rule, provided by an automated information system. To make managerial decisions, the heads of modern enterprises need to receive prompt and easy-to-read information.Such an opportunity can be provided by the DSS, which provides the formation of transparent financial statements for assessing the state of the enterprise from the standpoint of the specialization of individual managers. The results of research into the reasons for the lack of competitiveness and labor productivity of Ukrainian corporate enterprises indicate the imperfection of the applied approaches to management. This is due to the lack of a proper management system that unites all the information resources of the organization. The territorial distribution, the complexity of the hierarchical structure, the multiplicity of areas of activity of corporate enterprises in the face of growing business volume make it difficult to build information tools that will ensure simplicity, transparency and efficiency of business operations. The analysis of the corporate environment and the factors on which the efficiency of the enterprise depends is carried out. The behavior of a corporate enterprise is investigated as a special case of the problem of the behavior of a complex system, and the environment of functioning in their interrelation. A generalized scheme of the corporate enterprise management system is proposed.

Predictive Model of Air Transportation Management Based on Intelligent Algorithms of Wireless Network Communication

Due to the numerous factors that affect the air passenger traffic in the air transportation market and the randomness of various factors, in addition, the relationship between it and the air passenger traffic is very complicated, so the air passenger traffic forecast in the air transportation market has always been difficult to solve problem. This research mainly discusses the prediction model of air transportation management based on the intelligent algorithm of wireless network communication. This article uses the wireless network communication intelligent algorithm, comprehensively considers the influence of the GDP growth rate, population growth rate, total import and export volume, and other factors on the air transportation market, and draws a relatively complete forecasting model of aviation business volume. In this paper, we use an equal‐weight method, linear combination model method, and Bayesian combination model method when selecting the combination forecasting method (these three methods). Because of the parallelism, robustness, nonlinearity, and other characteristics of the Bayesian network method, it adapts to the complex and highly nonlinear characteristics between air passenger traffic and its influencing factors. In the comprehensive prediction of the single model, the different information contained in the single model is used to achieve different combined prediction effects. The economic information and forecasting angle of the system can reduce systematic forecasting errors and optimize the prognostic results, which can make us more intuitively understand the difference of forecasting results brought by different combination forecasting methods. The Theil inequality coefficient of the ARIMA model is 0.004874, and the average absolute percentage error is 0.005914. This research will play a certain guiding role in the development of China’s civil aviation industry.

The credit analysis of transportation capacity supply chain finance based on core enterprise credit radiation

This study examines the application of the business model of supply chain finance depending on the core enterprise, to the credit financing of transportation capacity enterprises. It studies the credit transmission characteristics regarding core enterprise credit radiation, presents the core enterprise credit segmentation and credit pricing, and transforms them into the calculation of credit guarantee and the default probability of core enterprises. Credit guarantee is regarded as a constraint of financial institutions’ credit decisions. Using probability density and logistic tools, we construct a profit maximization model for financial institutions and solve their optimal credit decision for a specific interest rate. Through numerical experiments, we verify the validity of the model and conclude that increasing the business volume between financing enterprises and core enterprises or reducing the probability of default can effectively improve financial institutions’ credit line.

Research on Interest Rate Risk of Housing Mortgage Loan Based on Computer Simulation.

In recent years, with the rapid increase of the business volume of housing mortgage loans of commercial banks, the risk of prepayment is increasingly exposed. Prepayment will have a great impact on the duration and convexity of housing mortgage loans of commercial banks and then bring difficulties to the asset liability management of banks. Therefore, empirical research on the changes of duration and convexity of housing mortgage loans caused by prepayment when the market interest rate changes is of great significance for commercial banks to manage interest rate risk exposure. Based on the analysis of the option characteristics of prepayable housing mortgage loan, the CIR model with GARCH(1, 1) is selected to describe the interest rate change path, and the computer simulation method is used to calculate OAS and then calculate the effective duration and effective convexity of housing mortgage loan under different prepayment rates, so as to understand the interest rate risk of housing mortgage loan in the presence of embedded option.