Business-to-consumer Research Articles

Knowledge, Perception, and Behavior of Business Consumers towards Meltique Meat in the City and District of Bogor

Meltique meat is a type of meat that undergoes a special process that involves injecting fat into the muscle fibers of the meat. Business consumers use Meltique meat as an alternative to Wagyu meat because it is affordable but has similar characteristics to Wagyu meat. This study aims to analyze the relationship of meat knowledge and perception to business consumer behavior in the Bogor area. This study used 60 samples of food business consumers hotels, restaurants, catering, supermarkets, traditional markets, and meat suppliers in the Bogor area. The questionnaire results were analyzed using the Spearman rank correlation test to determine the relationship between knowledge and perceptions of business consumer behavior. The results showed that there was a strong unidirectional relationship between knowledge and perception of meltique meat on business consumer behavior in the Bogor area with rs=0.509 and rs=0.531. The significance value of P <0.05 indicates that consumer knowledge and perceptions have areal influence on business consumer purchasing behavior of meltique meat.

Penegakan Hukum terhadap Tindak Pidana Penipuan terhadap Konsumen dalam Usaha Jual Beli Online di Kota Kupang

Legal protection against fraud against consumers in online business has been regulated in the Criminal Code Articles 378 and 379 and Article 28 paragraph (1) jo. Article 45 paragraph (2) of the ITE Law regulates false news that results in consumer losses in Electronic Transactions. This research is a research that uses an empirical approach method, namely an approach based on the type of data and data analysis. The results of this study found (1) Law enforcement against criminal acts of fraud against consumers in the online buying and selling business in Kupang City runs based on existing legal rules, namely both the Criminal Code and the ITE Law, namely Article 378 of the Criminal Code and Article 28 paragraph (1) of Law Number 19 of 2016 concerning Amendments to Law Number 11 of 2008 concerning Electronic Information and Transactions. (2) Efforts to protect consumers in criminal acts of fraud on e-commerce sites in Kupang City are preventive efforts to prevent the occurrence of such criminal acts. Then repressive efforts to provide criminal sanctions in accordance with applicable regulations. This effort can be done by the way victims can report criminal acts of fraud by visiting law enforcement agencies for further processing.

Customer Churn Prevention For E-commerce Platforms using Machine Learning-based Business Intelligence

Aims & Background: Businesses in the E-commerce sector, especially those in the business- to-consumer segment, are engaged in fierce competition for survival, trying to gain access to their rivals' client bases while keeping current customers from defecting. The cost of acquiring new customers is rising as more competitors join the market with significant upfront expenditures and cutting-edge penetration strategies, making client retention essential for these organizations. Objective: The main objective of this research is to detect probable churning customers and prevent churn with temporary retention measures. It's also essential to understand why the customer decided to go away to apply customized win-back strategies. Methodology: Predictive analysis uses the hybrid classification approach to address the regression and classification issues. The process for forecasting E-commerce customer attrition based on support vector machines is presented in this paper, along with a hybrid recommendation strategy for targeted retention initiatives. You may prevent future customer churn by suggesting reasonable offers or services. Results: The empirical findings demonstrate a considerable increase in the coverage ratio, hit ratio, lift degree, precision rate, and other metrics using the integrated forecasting model. Conclusion: To effectively identify separate groups of lost customers and create a customer churn retention strategy, categorize the various lost customer types using the RFM principle.

Social marketing of the coffee cream liquor in the Association of Agroindustrial Entrepreneurs of Challohuma of San Juan del Oro

The purpose of the study is to explain the factors that determine social marketing of coffee cream liquor in the Association of Agroindustrial Entrepreneurs of Challohuma in San Juan del Oro District, Department of Puno (Southern Peru). The methodological design specifies a type of quantitative approach, with a non-experimental, cross-sectional design, through surveys in a total of 41 members of the association. Results demonstrated that the factors that significantly determine social marketing of coffee cream liqueur are marketing factors on individual consumers (product attributes, brand assignment, packaging, labeling and product support services), society (commitment to health, environment and collaborators), and about the company (internal quality of service, satisfied and productive service employees, greater service value, satisfied and loyal customers and healthy profits and growth). The Pearson coefficient r = 0.746 explains at the significance level of α = 0.01 that social marketing factors of coffee cream liquor of the Association of Agroindustrial Entrepreneurs of Challohuma in San Juan del Oro, are positively and considerably correlated with the factor of individual, social and business consumer, supporting the alternative hypothesis. It is concluded that social marketing plans must be implemented to boost the growth of the company.

PENGARUH POTONGAN HARGA, E-SERVICE QUALITY DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN SHOPEEFOOD MAHASISWA UDINUS

In the modern era driven by technology, food delivery services have experienced rapid development as a solution to meet the food needs of increasingly busy consumers. The sample determination was carried out using the Lemeshow formula with a sample size of 100. Researchers applied a non-probability sampling method using purposive sampling technique in this study. The type of research conducted is explanatory with a quantitative approach. The location of this research is in Semarang City, Central Java. The calculation results show that: 1. That Rebates, E-Service Quality, and Promotion simultaneously influence ShopeeFood consumer purchasing decisions. 2. That Partial Discounts do not have a significant effect on discounted prices on purchasing decisions. 3. That E-Service Quality partially has a significant influence on shopeefood consumer purchasing decisions. 4. That Promotion partially has a significant influence on shopeefood consumer purchasing decisions.

Can nationalism and religious approaches be harmonized? Three-way interaction effects on small business consumer brand identification

Can nationalism and religious approaches be harmonized? Three-way interaction effects on small business consumer brand identification

Convenience, opportunities, risks and challenges of IoT for individual and business consumers: Systematic literature review from 2010 to 2022

IoT offers control over devices and enables users to have real-time monitoring, increased efficiency, and reduced energy costs. As the technology is in its infancy stage, there are several domains that need to be studied. Researchers have made contributions to analyze the key aspects of IoT, including its usage, benefits, risks, and requirement for technological infrastructure. Furthermore, studies were conducted from the consumer’s perspective, aiming to know their preferences and adoption behaviors. This systematic review of literature, based on previous studies from 2010 to 2022, aims to enrich literature while presenting a comprehensive and detailed review of 42 articles from 43 journals and international conferences. The reviewed articles have been selected from databases including Scopus, Web of Science, and Science Direct. The theory development, characteristics, context, and methodology framework (TCCM) has been used to examine these four aspects in consumer behavior regarding IoT devices. The review presents an overview of research in this area and also presents future research directions to spur scholarly research. The research’s contribution to academia and industry is that it provides useful information regarding key aspects of IoT while suggesting new ways for further improvements. The research provides key insights to the IoT industry and how they can overcome product and adoption-related challenges.

PECULIARITIES OF RELATIONSHIP MARKETING FOR SMALL INDUSTRIAL ENTERPRISES. FEATURES OF MARKETING MANAGEMENT OF SMALL INDUSTRIAL ENTERPRISES BASED ON THE CONCEPT OF RELATIONSHIP MARKETING

The article examines the peculiarities of managing the marketing activities of small industrial enterprises. The advantages of forming a marketing management system of a small industrial enterprise based on the concept of relationship marketing are presented: ensuring business stability by strengthening long-term mutually beneficial relationships with consumers; increasing the level of consumer satisfaction; improvement of personal relations of the manager and staff with consumers; orientation of marketing management on consumer values, creation of value that is unique. The definition of the term "marketing management of a small industrial enterprise based on the concept of relationship marketing" is provided - a system of analyzing the industrial market, external and internal environment, planning, implementing and evaluating the effectiveness of marketing actions aimed at creating value with key business consumers and obtaining joint benefits in the process interaction to achieve the strategic goals of a small enterprise. Features of relationship marketing for small industrial enterprises are highlighted: the presence of repeated contacts with a limited group of business consumers; the need to regularly obtain and update information about business consumers; personal contacts with persons who make decisions on procurement; limited number of business customers, dependence on large key business customers; segmentation taking into account the profitability of business consumers; the need to ensure the mutual value of relationships; analysis of external factors that affect all participants in the relationship; the need to organize technical support for business consumers; adaptation of products to the technical requirements of business consumers; dependence on suppliers, acceptance of the risks of relationships with suppliers; comprehensiveness of sales; high role of personal relations between employees and managers of partner companies; orientation of the team on building and maintaining relationships with business consumers. The content of the elements of the relationship marketing complex in relation to small industrial enterprises is substantiated.

СТРУКТУРНО-ФУНКЦІОНАЛЬНЕ МОДЕЛЮВАННЯ МАРКЕТИНГОВОЇ ПОЛІТИКИ ЗАБЕЗПЕЧЕННЯ ЕКОНОМІЧНОЇ БЕЗПЕКИ МАШИНОБУДУВАННЯ

The article analyzes modern scientific approaches to ensuring the economic security of machine-building enterprises based on the marketing concept of mutual relations. It is established that the appropriate marketing policy in industrial markets is focused on the study of the interaction of companies with business consumers, competitors and other interested parties. It was emphasized that due to the balancing of interests between consumers and producers of products, the appropriate level of economic security of enterprises in the machine-building market is achieved, which allows business entities to form stable relations on a mutually beneficial basis and plan their activities in the long term. It is emphasized that in the context of ensuring the economic security of machine-building enterprises, the marketing policy of mutual relations allows reducing the marketing risks of economic security at the expense of the company achieving competitive advantages by establishing, maintaining and developing long-term relationships with partners in the process of improving production, promotion and sales of products in order to create the value that wants to get a buyer. A conceptual model of the marketing policy of the relationship between the supplier and the consumer in the context of ensuring the economic safety of mechanical engineering has been formed. It is proposed to include elements of the marketing complex in the marketing policy of relations: management of product quality, price / costs, distribution, promotion and quality of service. It has been proven that this approach contributes to the balancing of interests between sellers and buyers of engineering products in the process of ensuring economic security. The complex of works related to the planning and implementation of the marketing policy of mutual relations is proposed to be solved with the help of a process approach based on structural-functional modeling tools, which allows you to streamline the course of action and quickly adjust all aspects of the marketing policy within the framework of a long-term business partnership.

SPATIO-TEMPORAL ANALYSIS OF URBAN ECONOMIC RESILIENCE DURING COVID-19 WITH MULTILAYER COMPLEX NETWORKS

Abstract. The COVID-19 pandemic has impacted the economic growth of almost every country, with many industries facing operational difficulties, and the failures of a large number of restaurants, in particular, have extensively tested the resilience of urban economies. The gastronomy business is one of the most decentralized and location-based consumer business in urban, which is highly related to the economic attributes of cities. However, there are few studies on quantitative analysis of urban economic resilience through the opening and closing of restaurants. Understanding and planning for the aftermath of the COVID-19 may not only minimize detrimental effects but also provide insights into the economic recovery policies. This study analyzes the phenomenon of restaurant failures after the pandemic in Shenzhen, China via percolation in multilayer complex networks. We identify the closed restaurants through data mining, and construct the human mobility network through mobile phone location data, aggregating origin and destination points into grids. We then embedded the restaurants’ Points of Interest (POIs) into the grids, creating an additional restaurant network layer. By considering spatial interactions between restaurants, we constructed a geographical proximity network for restaurants in each grid. Finally, Using these multilayered nested networks, we analyzed the pandemic’s impact and the occurrence of critical phenomena related to restaurant closures under lockdown policies through percolation in multilayer complex networks. As a result, this study found that the severity of the pandemic significantly increased the probability of restaurant failures, with cascade and critical phenomena. However, implementing precise lockdown measures can effectively lower the probability of restaurant closures. These results highlight the effectiveness of accurate lockdown policies in striking a balance between epidemic prevention and economic development, contingent upon the correct identification of high-risk areas. This finding suggests that policy makers and public health departments need to balance policy effectiveness with interventions in economic activities in order to increase the resilience of urban economies during the pandemic.

Measuring Performance Using Balance Scorecard and SWOT Analysis: A Case Study of Multinational Electricity Company in Malaysia

Tenaga Nasional Berhad (TNB) is a Malaysian company that is the main supplier of electricity to 10.6 million consumers in the country. In general, TNB electricity tariff is classified differently based on consumer business activity and the supply voltage level supplied. It can either be low, medium or high voltage depending on whether it is for domestic use, commercial, industrial, mining, street lighting or specific agriculture. Not only is electricity the main means of powering convenient modern living, but it is also the lifeblood of modern industries critical for a thriving business environment in the country. However, due to increasingly high generation costs due to global fuel prices incurred, TNB maintains that they have to consider the decision to increase the electricity tariff. The public and the government understandably are concerned because it will affect many parties, especially the increase in the cost of living of their consumers. To understand TNB's justification for raising its electricity tariff bill, a study needs to be conducted. Therefore, the main objective of the study is to evaluate the financial and non-financial performance of TNB. The TNB's annual reports over the past five years (2018 to 2022) have been analysed using the Balanced Scorecard concept. The results of the study show that TNB's income is increasing every year. However, the amount of debt incurred by TNB has also increased. This was followed by a 45% increase in operating expenses. In those five years, the number of users has increased by almost 10%. The conclusion of the study was presented using a SWOT analysis to provide a more meaningful analysis of TNB's performance. In summary, the company's financial and non-financial position is in good condition, as long as the government continues to provide subsidies to cover part of consumers’ electricity bills.

Implementing NLP techniques and data for Europe financial market forecasting

The large military conflict between Russia and Ukraine has consequences for the global financial market. The European region is one of the hardest hits, which experienced a high energy cost and devaluation of the currency. This paper investigates the Employment Expectations Indicator (EEI) and Economic Sentiment Indicator (ESI) from the business consumer survey index to reflect the reaction of the consumers of the European market by implementing Natural Language Processing (NLP) techniques and machine learning. In the object, the monetary policy decisions from European Central Bank are considered the data set for forecasting the Index. In the result, all nine models from scikit-learn contributed a great job in both categories of Accuracy, Precision, and F-score and Recall with a level of 90% as average. It represents that the NLP techniques effectively forecast the future value of two European business and consumer indexes. However, the limit of the dataset and model mostly related to the performance of NLP techniques is working for forecasting but less related to the expected values of the EEI and ESI indices. Future research would focus more on forecasting the expected value of the two indexes and reflect the consumers' reactions in the markets.

Optimal Intraproject Learning

Problem definition: Intraproject learning in project scheduling involves the use of learning among the similar tasks in a project to improve the overall performance of the project schedule. Under intraproject learning, knowledge gained from completing some tasks in a project is used to execute similar later tasks in the same project more efficiently. We provide the first model and solution algorithms to address this intraproject learning problem. Academic/practical relevance: Intraproject learning is possible when, for example, the difficulty of the tasks becomes better understood, or the efficiency of the resources used becomes better known. Hence, it is necessary to explore the potential of intraproject learning to further improve the performance of project scheduling. Because learning consumes time, firms may underinvest in intraproject learning if they do not recognize its value. Although the project scheduling literature discusses the potential value of using obtained information from learning within the same project, we formally model and optimize the use of intraproject learning in project scheduling. Methodology/results: We model the tradeoff between investing time in learning from completed tasks and achieving reduced durations for subsequent tasks to minimize the total project cost. We show that this problem is intractable. We develop a heuristic that finds near optimal solutions and a strong relaxation that allows some learning from partially completed tasks. Our computational study identifies project characteristics where intraproject learning is most worthwhile. In doing so, it motivates project managers to understand and apply intraproject learning to improve the performance of their projects. A real case is provided by a problem of the Consumer Business Group of Huawei Corporation, for which our model and algorithm provide a greater than 20% improvement in project duration. Managerial implications: We find consistent evidence that projects in general can benefit substantially from intraproject learning, and larger projects benefit more. Our computational studies provide the following insights. First, the benefit from learning varies with the features of the project network, and projects with more complex networks possess greater potential benefit from intraproject learning and deserve more attention to learning opportunities; second, noncritical tasks at an earlier project stage should be learned more extensively; and third, tasks that are more similar (or have more similar processes) to later tasks also deserve more investment in learning. Learning should also be invested more in tasks that have more successors, where knowledge gained can be used repetitively. Funding: This work was supported by the National Natural Science Foundation of China [Grant 71732003 to N. G. Hall and Grants 72131010 and 72232001 to W. Zhao], the Shanghai Subject Chief Scientist Program [Grant 16XD1401700 to G. Wan], and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning [Grant TP2022019 to W. Zhao]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0159 .

Investigation and Analysis of the Linguistic Landscape in High-end Consumer Business District in Guangzhou——Taking TaiKoo Hui as an Example

Linguistic landscape has become an emerging research topic in sociolinguistics due to the development of urban linguistic landscape. Based on the development of linguistic landscape in TaiKoo Hui, its diverse characteristics are analyzed, and the language signs, usage, and codes are summarized. It is found that there is poor transmission effect of multilingual landscape information and improper use of linguistic landscape in TaiKoo Hui. This paper concludes that the linguistic landscape of Taikoo Hui can be optimized from two aspects to enhance its attractiveness and competitiveness, including improving the informational function of foreign language signs and regulating the use of linguistic landscape.

PENGARUH CONTENT MARKETING MEDIA SOSIAL INSTAGRAM TERHADAP MINAT BELI KONSUMEN PADA USAHA YOURGOOD

Utilization of information technology that is increasingly accessible is one of the strategies for entrepreneurs to market their products. YourGood business is one of the Small and Medium Enterprises (SMEs) by presenting smoothies yogurt products and using social media as a marketing medium, one of which is content marketing through Instagram social media as a marketing strategy, content marketing is one of the most important marketing strategies currently being used by YourGood business. The purpose of this study is to test as an illustration how the role or influence of the contribution of content marketing through Instagram social media run by YourGood business on consumer buying interest, this research is included in the type of explanatory research method with a quantitative approach and using non-probability sampling with purposive sampling with a total of 100 respondents using a linear time function to determine the number of samples. Researchers used normality test analysis, t test, F test and multiple linear regression using Microsoft Excel 2019 software. The results stated that there was a correlation between marketing Instagram social media content and the buying interest of YourGood business consumers by 62.6%. Then the variable that has the greatest value is the persuasion variable of 47%. So that the content marketing strategy that can be carried out by YourGood business is to present content with product quality information and build trust in consumers and be carried out consistently and attractively so that the content marketing strategy will be able to increase consumer buying interest.Keywords: Content Marketing, Purchase Intention, Digital Marketing, Instagram.

Analysis of Crypto-assets, Blockchain Investor Protection, and U.S. Market Risks using the Mlogit Classifier Model

We present insights into novel and complex issues regarding cryptocurrency activities, the related investor protection, and blockchain market risks. Crypto digital assets embody global economic ambition with their significant growth and creativity levels. This study employs a novel research approach using multinominal logit (mlogit) classifier modeling techniques to present unique findings regarding crypto-assets. The machine learning model confirmed better accuracy compared to previous research studies. These findings could contribute to a better understanding of the impact of business consumers on cryptocurrencies and blockchain used by business experts and policymakers worldwide. The research results should help future studies develop more machine learning models to ensure more accurate findings and discussions. The mlogit method research presented here confirms that business artificial intelligence methods and human domain knowledge interpretation can help current business leaders to better understand essential business decisions and their significant role in modern business behavioral prescriptive analytics. We derive important perspectives about cryptocurrency and blockchain strategy improvements, which may produce positive policy changes by enhancing the quality of investor protection in blockchain worldwide.

Perlindungan Hukum Konsumen Pemegang Polis Asuransi dalam Menyelesaikan Sengketa Klaim Asuransi (Studi Kasus PT Asuransi Astra Buana)

The era of globalization requires everyone to be ready with all the possibilities that will happen to be a risk that comes from something that is not expected or from a possibility that can be predicted. Risk opportunities from a process make people transfer risk opportunities to an insurance institution. The dynamics of implementing insurance business activities between consumers as insurance policyholders and insurance companies as business actors have the potential to create various problems that cause consumer rights to be violated, especially in terms of insurance policy claims by insurance companies. To overcome the problems of consumers in the insurance business, it is necessary to study the regulations in the insurance sector regarding consumer protection with Law Number 8 of 1999 concerning Consumer Protection, Law Number 40 of 2014 concerning Insurance Business, the Civil Code, and the Criminal Code of Trade. This research is normative research that examines consumer protection law in the insurance business. The results of the study indicate that consumers are entitled to their rights, namely business actors carry out their obligations according to what has been agreed, namely to fulfill insurance policy claims by the agreement outlined in the insurance agreement. If the business actor does not have good intentions to claim the consumer's insurance policy, the consumer has the right to file a lawsuit with the Consumer Dispute Settlement Agency or file lawsuit with the judiciary.

Do busy consumers prefer new products? A study on the effect of a busy mindset on the evaluation of new products

Do busy consumers prefer new products? A study on the effect of a busy mindset on the evaluation of new products

Determining the (A)symmetric Role of Business–Consumer Confidence in Outward–Inward Tourism in Russia: A Competitiveness Perspective

Tourism activities in Russia, prior to the coronavirus pandemic and the Ukraine–Russia conflict, reportedly recorded a desirable boost, thus prompting the formulation of the country’s new Tourism Development Strategy for 2035. Considering this observation, the current study examines the determinants of the Russia’s inbound and outbound tourism, but especially from the perspective of linear and nonlinearity role of market—business and consumer—confidence over the quarterly period 2010Q1–2020Q4. The result shows that negative and positive shock in business confidence and consumer price index positively affects international arrivals to Russia in the short and long run, but with a negative shock in business confidence showing a larger effect. A shock (irrespective of the direction) in the consumer leading indicator leads to decline in international arrivals in the short and long run. We also found that a shock (mostly negative) in the consumer confidence reduces the numbers of Russian travellers to foreign tourist destinations in the short- and long-term period. However, a negative shock in business confidence encourages Russians to embark on touristic visit to destinations, while there is no significant effect arising from the shock in the consumer price index. Moreover, for symmetric evidence, there is a significant two-way Granger causality from BCI to outbound tourism, and from CLI to outbound tourism especially in the medium term, while a one-way causality exists from CPI to outbound tourism in the short and medium term.

Techno-Economic Assessment of a Hybrid Solar Photovoltaic – Diesel Genset for Rural Electrification, Case study of Namabasa Village – Uganda

In recent time, hybrid renewable energy systems are increasing being utilized to provide electricity in remote areas especially where the grid extension is considered very expensive. This study presents a techno –economic analysis of a Mini grid solar photovoltaic system for five (5) typical Zonal Communities in Namabasa ward Mbale District while promoting renewable energy system adaption and rural electrification. The assessment technique includes the establishment of the socio-economic state of the rural community through a field survey. The cost of system development ,electricity tariffs and sizing of energy production are realized via the Levelized Cost of Electricity ( LCOE) technique Sensitivity analysis was carried out to identity the parameters that affect the evolution of the (LCOE) during the life of the project, the results have shown that the annual energy production at a rate of 12,693.2 Mwh/year and capacity of 1449kW, while the lowest is predict at Namabasa Zone II at the rate of 2847MWh/year a capacity of 325KW where business consumers. The standard (LCOE) for system during the 15-year lifespan in the five (5) zones is estimated 350/= per KWh except at Doko II, this cost per Kilowatt Hour is more attractive and competitive compared with the current rate charged by the National electricity company.