American Multinational Companies Research Articles

Comparative Analysis of Machine Learning Models for Accurate Retail Sales Demand Forecasting

This article compares sales forecasting models, LSTM and LGBM, using retail sales data from an American multinational company. The study employs a meticulous methodology, optimizing memory, performing feature engineering, and adjusting model parameters for both LSTM and LGBM. Evaluation metrics, including RMSE, MAE, WMAPE, and WRMSEE, demonstrate that LGBM consistently outperforms LSTM in capturing and predicting sales patterns. The analysis favors LGBM as the preferred model for retail sales demand forecasting, emphasizing the importance of model selection. This study contributes to practical machine learning applications in retail sales forecasting, highlighting LGBM as an effective choice.

The Analysis of Large High-tech Corporations' Governance: Taking Microsoft as an Example

Artificial intelligence (AI) is having an impact on the world, including economic development, transportation and productivity, and corporate management. This article is mainly based on the American multinational technology company Microsoft Corporation. The company's management, policy, salary, technological innovation, etc. have been studied. Through relevant investigation and research, the influence and development of artificial intelligence on enterprise management have been carried out in depth. For example, companies can promote the public interest by hiring professionals in various fields. The indirect impact of AI on the labor force has changed the development prospects of enterprises. In addition, the construction of artificial intelligence has found new social markets and opportunities for Microsoft. Microsoft hopes that artificial intelligence can solve some profit problems, but whether artificial intelligence can play a long-term value, there are doubts about whether there are bad factors. Why Microsoft hasn't been affected during COVID-19. The company has used special corporate governance during COVID-19.

The application of Long Short-Term Memory algorithm in American multinational technology company stock prediction

The fast development in American multinational technology companies has attracted both professional and new investors to buy the stocks. However, the price of these companies are unstable and therefore hard to be predicted. The focus of this article is to use AI and deep learning algorithms to find a pattern of the stock price. Long Short-Term Memory Algorithm (LSTM) is the main algorithm used to predict the trend, and other methods including Autoregressive integrated moving average (ARIMA), Seasonal autoregressive integrated moving average (SARIMA), and prophet are also discussed in this piece.

Why Do You Still Want to Buy Hp Laptop? A Study of HP’S Customer Satisfaction

HP (Hewlett-Packard) Company was founded in July 1939 in California. This American multinational company is well known for providing electronic devices, especially laptops and computers globally. However, this research focuses on the laptop that has been produced by HP company. The purpose or objective of the study is to discover the elements that influence consumer satisfaction towards HP laptops. The research's primary goals are to evaluate the amount of customer satisfaction with HP laptops. The researchers provide survey questionnaires via google form to collect the Primary data, and the researchers also refer to the relevant articles, journals, and other material to find secondary data. The results show that Relationship marketing and Price Satisfaction have a significant positive relationship with customer satisfaction. Those lead Relationship Marketing and Price Satisfaction of HP will increase customer satisfaction.

Nonverbal signs of dominance: a comparison of the perspectives in Hungary and the USA

The key to success in the business world is effective communication. Nowadays we have a lot of information about what and how, when and in what kind of situation business people should say in order to successfully close negotiations, but we are even less aware of how to accompany what they say with the rest of their body, more precisely, how to use nonverbal communication in order to achieve negotiation success. In my research, I examined nonverbal behaviours that the American literature labels as dominant or submissive, comparing the perspectives of the Hungarian and North American business worlds. According to my assumptions, Hungarian businessmen value dominance signs as less dominant and submissive signs as less submissive, compared to US businessmen. 61 businessmen working in Hungary and 44 in the USA evaluated the signs of dominance and submission, using the scale of Dunbar for measuring dominance. All participants have been working at Hungarian or American multinational companies for at least three years and have been actively participating in negotiations within the company for at least one year. Comparing the answers of the two cultures, the Hungarian businessmen saw all seven dominant signs as less dominant, and they considered all three submissive behaviors less submissive. A possible explanation for this is that along Hofstede's dimensions, the two cultures differ in terms of indulgence, future orientation and uncertainty avoidance, which are all related to how important the expression of dominance is in the given culture: less in Hungary, more in the USA. In the following, I would like to use focus groups to compare the business negotiations of the two cultures, from the perspective of Hungarian businessmen.

US–China Economic Rivalry and the Reshoring of Global Supply Chains

Abstract Since the Global Financial Crisis (GFC) of 2008, the USA has changed its economic priorities and policy preferences in a concerted effort to bolster its weight in the global economy, reduce over-reliance on global supply chains, and create more employment within its borders. This change has become more apparent in the wake of the Trump presidency and the COVID-19 pandemic. Reviving the manufacturing industry through reshoring is now the main goal of US politicians. This article analyses the two strategies, in light of heightened technological competition with China, that the USA has brought into effect to reshore its factories from the People's Republic of China and so revitalise the American manufacturing industry. They are neo-protectionism and smart automation. Arguing that neo-protectionist policies and smart automation technologies are interrelated factors that have been used strategically to bring American multinational companies in China back to the USA, we examine whether or not these two strategies—each elements of the US–China tech war—can support the reshoring and revitalisation of the American manufacturing industry. We find that increased neo-protectionist measures and proliferation of smart automation technologies alone will not empower the USA sufficiently to consolidate its technological superiority over China, add impetus to its manufacturing investments, and create well-paying jobs for the broader segments of American society through the reshoring of manufacturing activities. To achieve these goals, the USA should instead implement an integrated policy framework that spans industrial policies to technology policies and tax policies to labour market policies. Otherwise, even though reshoring may gain a certain momentum, new industrial facilities will not expand productivity enough to raise the competitiveness of the US economy to satisfactory levels, and such investments might not provide enough new job opportunities to remediate socioeconomic problems.

How Latin American multinational companies’ institutional capabilities influence ownership in cross-border acquisitions

Objective: Multinational Companies (MNCs) can learn from their experience in host countries and develop an ability to deal with specific institutional inefficiencies. We advance that MNCs’ institutional capabilities, or the capabilities to deal with institutionally underdeveloped milieus, will likely lower the ownership requirements in subsequent deals. Method: Using regressions with a secondary dataset of 1,686 cross-border acquisitions (CBA) made by Latin American firms worldwide, we investigate how the MNCs’ priorly-acquired capabilities of operating in countries with underdeveloped regulatory quality, less effective rule of law, and lower corruption control lower the ownership acquired in subsequent acquisition deals. Main Results: We show that MNCs with experiences with CBA in countries with poor institutional contexts learn how to work in those contexts. Hence, these MNCs build capabilities that make them more likely to take a lower ownership stake in future CBAs. Relevance/ Originality: There is still much to be understood regarding the extent to which the knowledge developed in one country could be extrapolated and used in another country with similar problems. We delve into this matter with an institution-based view. Theoretical/ Methodological Contributions: This study thus contributes to a better understanding of the effect of MNCs’ institutional capabilities for operating in institutionally inefficient countries on the ownership stakes required.

Using Business English as a Lingua Franca for Written and Spoken Communication: Challenges Encountered by Thai Human Resources Professionals in An American Multinational Company

Unquestionably, English is a medium for international communication, particularly in multinational companies (MNCs). In this regard, professionals who work in MNCs, including human resources (HR), inevitably encounter challenges in using English in the workplace environment where people are from diverse linguistic and cultural backgrounds. This study attempts to examine how Thai HR professionals perceived the role of business English as the lingua franca (BELF) and how they faced the challenges in using English for workplace communication. This survey study employed a mixed-methods approach for data collection. A questionnaire survey and semi-structured interview were developed to collect the data. Thirty-nine Thai HR professionals at an American oil and gas subsidiary in the Bangkok metropolitan area were purposively selected. Data collected from both instruments were analysed using descriptive statistics and content analysis, respectively. Our data analysis demonstrates that most of the respondents had a positive attitude about using BELF in their organisation. However, it was necessary for them to be aware of their interactants’ diverse linguistic and cultural backgrounds and to effectively use BELF and avoid serious mistakes in their written and spoken communication. In summary, this study reveals that the Thai HR professionals understood the BELF concept and faced more difficulties in spoken communication tasks (e.g., press briefings and business negotiations) in comparison to written tasks. The findings can be beneficial for educators and HR trainers in terms of awareness of intercultural business communication and guidance for developing BELF-oriented courses for university students, graduates and HR professionals. Keywords: Business English as a lingua franca; spoken communication; written communication; communication challenges; Thai HR professionals

The U.S. Bioeconomy: Charting a Course for a Resilient and Competitive Future

The U.S. Bioeconomy: Charting a Course for a Resilient and Competitive Future

The Impact of Occupational Stress on Employees’ Performance and Customer Value Creation: Case of an American Multinational Company Subsidiary in Morocco

This paper intends to determine the extent to which occupational stress impacts individual performance, and whether it affects the customer value creation. The objective is to shine new light on the occupational stress challenges through examining an American multinational company based in Morocco. Therefore, the key question of this study asks the way the occupational stress affects individual performance, and consequently, customer value. A qualitative methodology is adopted and a specific interview guide was developed. The main finding shows a high level of customer value creation is only possible through ensuring a non-stressful working environment, a prerequisite for employees’ performance.

Demand Forecasting of a Multinational Retail Company using Deep Learning Frameworks

In this modern era of digitization, the competition is significantly increasing among retailers. One of the major challenges for them is demand prediction or sales forecasting. Especially in this Covid pandemic, retail sales forecasting became very crucial due to the employee shortage, and increasing online demand. In the modern era of digitization, competition is increasing. This research explores the application of an advanced deep learning approach in predicting the market demands in advance of individual products for the future seasons. This application aims to support an American Multinational Retail company in ordering, purchasing, and managing inventory. Accordingly, the company provides a real sales dataset to perform this study. This research proposes two sales forecasting strategies based on LSTM and LGBM models. We first execute data preprocessing techniques using statistical feature engineering on the raw sales data. Thereafter perform the LSTM and LGBM algorithms for training and prediction. LGBM takes past data from lag feature engineering for better forecasting. For that, we found that LGBM performs better than LSTM in forecasting.

Host country employees’ negative perceptions of successive expatriate leadership: the role of leadership transference and implicit leadership theories

PurposeDrawing on socio-cognitively orientated leadership studies, this paper aims to contribute to our understanding of host country employees’ (HCEs) negative perceptions of successive expatriate leadership by exploring how their memories of shared past experiences affect these perceptions. Contrary to previous work which tends to focus on HCEs’ attitudes towards individual expatriates, the authors shift attention to successive executive expatriate assignments within a single subsidiary.Design/methodology/approachThe paper is based on an intrinsic case study carried out in a Polish subsidiary of an American multinational pharmaceutical company which had been managed by four successive expatriate General Managers and one local executive. The authors draw on interview data with 40 HCEs. Twenty-one semi-structured interviews were conducted with staff who had been managed by at least three of the subsidiary’s expatriate leaders.FindingsThe authors demonstrate how transference triggered by past experiences with expatriate leaders as well as HCEs’ implicit leadership theories affect HCEs’ negative perceptions of expatriate leadership and lead to the emergence of expatriate leadership schema.Originality/valueTo the best of the authors’ knowledge, this is the first study that explores the role of transference and implicit leadership theories in HCEs’ perceptions of successive executive expatriate assignments. By focussing on retrospective accounts of HCEs who had been managed by a series of successive expatriate leaders, our study has generated a more nuanced and contextualised understanding of the role of HCEs’ shared past experiences in shaping their perceptions of expatriate leadership. The authors propose a new concept – expatriate leadership schema – which describes HCEs’ cognitive structures, developed during past experiences with successive expatriate leaders, which specify what HCEs believe expatriate leadership to look like and what they expect from it.

USING SVM (SUPPORT VECTOR MACHINE) METHOD TO PREDICT BEST SELLER BOOK IN AMAZON

Amazon is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and the Big Four artificial intelligence along with Google, Apple, and Facebook. Therefore this company must have many and varied sales data. One of them is book sales data. In this study, the author is interested in analyzing best-selling book sales by implementing data mining using the SVM algorithm, where the data is taken at Kaggle.com in the form of a data set.

Entre Telas e Ecrãs… Reflexões em Torno de Entrelaces Linguístico Culturais do Português no Espaço Digital

The present paper aims to discuss some aspects of the internationalization of the Portuguese language in the digital space, paying particular attention to the observation of sociolinguistic and cultural dimensions underlying localization of digital content to European Portuguese (PE) and Brazilian Portuguese (PB). We discuss the vision of Portuguese as a pluricentric language, defined by a remarkable linguistic and cultural complexity that proves its vitality as a language with institutional, economic, social, geopolitical, and cultural potential. This study is exploratory, and it therefore comprises the analysis of the communicative options of two North American multinational companies: Zoom (video conferencing platform) and Amazon (e[1]commerce platform), regarding their digital contents. In the first case, Brazilian Portuguese seems to emerge as a unique/dominant norm, tending to neutralize linguistic-cultural specificities. In the second case, Amazon takes into account sociolinguistic particularities related to contexts of use and shows sensitivity towards linguistic and cultural identity when localizing the website.

Market entry of over-the-counter nutritional supplement – a case study from Thailand

Learning Outcomes Teaching objectives are as follows: students need to understand the critical choices involved in introducing a product into a new market, including but not limited to the macroeconomic context, the target consumer segment, the positioning of the product, distribution channels, pricing and promotion strategy. Students must learn to appreciate the importance of anticipating the reaction of incumbents, and how such reactions may determine the success or failure of a new product entry into the market. Students develop skills to analyze complementarities between different distribution channels and understand how investments in developing one channel can result in positive or negative consequences in other channels. Case Overview/Synopsis How can health products such as multivitamins and other nutritional supplements make headway into emerging markets that are moving up the ranks of middle-income economies? This case study investigates the case of Thailand, a country that in the early 1990s registered a per capita income comparable to Vietnam and Laos and Cambodia today. It illustrates, through the real experience of Pat – an executive of a local subsidiary of an American multinational pharmaceutical company – how a new entrant exploited the rapidly changing economic and retailing environment to become a successful player in an important and growing segment of consumer products. Complexity Academic Level This case is suitable for master’s degree students or short-course executives. Supplementary materials Teaching Notes are available for educators only. Subject code CSS 11: Strategy.

The impact of Chinese investments on western multinational enterprises’ work and employment practices: A consideration of institutional, political and dominance effects

One of the most significant developments in international business in recent years is the dramatic expansion of Chinese – often state-led or state-supported – investment in Africa. While we know something of Chinese multinational enterprises’ strategies, we know comparatively little about their work and employment practices and even less about their influence on western multinational companies (MNEs). We examine these important issues by looking at the practices of a major Chinese MNE alongside those of a French MNE and a US MNE in Cameroon’s oil industry. We find that while the French and American MNEs were successful in importing their preferred practices and in evading host-country regulations for many years, this was challenged upon the arrival of the Chinese MNE. We query why and by what means did the entrance of a major MNE lead to significant changes in the behaviours of long-resident MNEs. The translation of the identified effects is explained by drawing on different levels of analysis that include an appreciation of the location of the MNE and the state within the international political economy of capitalism, attendant shifts in the frontiers of political influence, isomorphic institutional influences, actors’ postures within and beyond the MNE, and their relational interplay.

Implementation of Automation System to Control Machine Voltage of Electroplating Process

Technology has been proliferating and it has been creating a new term in the world of technology. One of the new terms that have emerged along with technological development is The Fourth Industrial Revolution. In line with the revolution, this research has a purpose of creating a smart manufacturing concept that involves several components such as software, machines, and certain tools such as RFID. This research will be designed and developed using software development method in the form of a waterfall method and this research will use C# programming language released by American multinational technology company, which is Microsoft to create the software. This research will be assisted by several hardware devices such as RFID Reader that will serve as a tool that will read information stored in RFID Tag and RFID Tag that will be used to store information needed by system. The output of this research is a software that is capable of automating voltage adjustment of electroplating machine, monitor the voltage and ampere of the machine, and able to aid users on the electroplating process

МІСЦЕ ТА РОЛЬ АМЕРИКАНСЬКИХ ТНК У СВІТОВІЙ ЕКОНОМІЦІ

As a result of the growing "openness" of national borders to strengthen foreign economic relations, the role of corporate structures becomes more important and has an unprecedented impact on the country's industrial potential and the national economy as a whole. At the present stage of development, the main role in shaping the economic systems of countries is played not by national economies, but by transnational companies. It is through multinational corporations that globalization processes are taking place, which in the future may lead to the emergence of supercorporations through the acquisition or merger of the world's most influential companies. Today, American TNCs are the most powerful companies, covering all sectors of the economy, occupying a leading position in the world economy and world politics. It is TNCs that contribute to the transformation of the world into a single whole, where its individual parts become functionally interdependent, new trends and laws of development emerge. As the world's largest economy in terms of development, the United States has a leading position in the global market. At the same time, being one of the entities operating in the world economy, American transnational corporations significantly influence both the international exchange of goods and services, international capital flows, and the international exchange of knowledge and technologies. In particular, the United States has long been a leader in the global flow of foreign investment. The article analyzes the activities of US multinational corporations, and their place and role in the international arena. The author draws attention to the leading corporations, emphasizing the dominance of American multinational companies that operate successfully in various sectors of the economy. The article presents statistical data of leading multinational corporations, as well as their economic indicators. Various ratings and magazines that publish information on the world's largest multinational corporations are considered. Foreign direct investment as an indicator of the role of US transnational business in the world is studied. The factors of activity of American TNCs that have a negative impact on recipient countries are given.

Technology-Based Recruitment and Selection Approaches of an American Multinational Company (AMNC): Practical Implications

This study identifies and discusses six technologies that affect recruitment and selection approaches using an American multinational company (AMNC) as a case study. It indicates that technology-based recruitment and selection approaches have had a noticeable impact on the AMNC’s recruitment and selection processes and practices in general, and the three stakeholders (human resource- HR- managers, hiring managers, and job-applicants) in particular. It concludes that the use of technology-based recruitment and selection approaches is not the matter of choice but is a requirement for the success of any company. It also offers the study’s implications and future research directions.

Blockchain based Service: A Case Study on IBM Blockchain Services & Hyperledger Fabric

IBM is one of the world’s leading American multinational technology company, alwaysinnovative and experimenting for new things with constant new trials and hands on differenttechnologies. The company is recently focused its research and innovation on one of ICCTunderlying technology applications called Hyperledger fabric and blockchain. A businessblockchain presented by Linux foundation is hyper ledger fabric becoming the de factostandard for enterprise it provides blockchain-as-a-service (BaaS) and lets the usage ofblockchain components any possible business environment with ease. Blockchain has severaledges, together with decentralization, durability, transparency, and audit ability. The IBM goalis to develop company-ready solutions that address existing technology limitations relating toprivacy, confidentiality, audit ability, performance, and measurability. Proven, scalable, andbuilt for running on any cloud Simplifies complexness quickly, unlocks new price, andexpands competitive edges. Hyperledger cloth system for companies might be thought to be apublic platform. Within which all transactions committed are held on in an exceedingblockchain. The chain grows endlessly as new blocks are added. To figure towards a frictionfree network by facilitating easy functionality this article illustrates Blockchain, IBMblockchain, Hyperledger fabric its framework, tools, and blockchain-as-a service. Thesecondary data was obtained from various scholarly journals and websites. We have analysedthe Hyperledger framework, tools and examined their blockchain services to differentindustries using the ABCD analysis framework as a research case study.