Company Expects Research Articles

Lithium producers show interest in the US

Strong demand for lithium, used to make batteries for electric vehicles, is increasing interest in extracting the mineral within the US. The lithium price index of the consulting firm Benchmark Mineral Intelligence is up about 240% since the beginning of the year. In November, the Chilean lithium chemical maker SQM reported that profits from its lithium business more than doubled during the first 9 months of 2021 compared with the same period in 2020. The company expects lithium prices to be even higher in the fourth quarter. “These results were driven by considerably higher sales volumes and prices,” SQM CEO Ricardo Ramos said on a conference call. “Demand in lithium markets is exceeding our previous expectations.” The US gets most of its lithium from South America, where it is produced cheaply by pumping lithium-rich brines into large ponds and letting them evaporate. Some US automakers want a domestic source to

Website Design with Higher Search Engine Ranking using Multi-Criteria Decision Model

Websites compete fiercely for the highest rank in search engines. The benefits lie in lower advertisement cost and better promotion effect of the websites for business activities. Therefore, every company expects their website to appear in the top 10 or on the first page of search engines, making web developers highly competitive to get into the highest rank on search engines. In this paper, we explore and evaluate the ability of the PROMETHEE method to index and rank websites based on multi-criteria analysis for the first time. The results are verified with an analytical solution derived manually and validated against Google results. This method allows companies to conveniently compare their websites’ popularity with competitors’ in the search engine, so it can be a powerful tool to improve their websites’ ranking by using the feedback-loop concept to boost their marketing strategy.

Automatic Data Processes

Well, the data process is created by the need to process the data more quickly and efficiently since the manual process that was carried out no longer met the expectations of people and companies, for this reason the data process arises automatic. In an automatic data process, the computer has different physical elements that allow it to carry out these same processes. That is, practically the speed of operation of the system is limited by human control. The entry by electromechanical type machines, as well as the exit, have a higher operating speed than the conventional one (until then this was achieved by tachy-typing). We can define data processing as the technique of converting data into information by any means, whether manual or automatic. Manual data processing is the technique of converting data into information using tools such as pencil, pens, typewriters, etc. The automatic data process within its objectives is the technique of converting data into information using appropriate methods, procedures and equipment for this purpose; such as interviews, surveys, computer. Automatic data processing came to renew the world, creating a special science for its study, such as computer science.

I don't want to be a rule enforcer during the COVID-19 pandemic: Frontline employees' plight

This research explores the pandemic-related experiences of frontline employees (FLEs) relative to customer rule-enforcement interactions within retail and service industries. Using a survey, incorporating closed-ended and CIT questions, we investigated, from the FLEs' perspectives, the occupational stress of rule-enforcement, company expectations of FLEs regarding rule enforcement, and the emotional impact of customer interactions on FLEs. Results indicate that several customer misbehaviors, such as not following rules and being rude, produce significant occupational stress. Further, based on our CIT assessments, many of the FLEs’ recounted rule-enforcement incidents involved negative customer reactions, translating to heightened negativity for FLEs due to emotional contagion.

ESG 경영성과에 대한 연구의 현황과 발전방향 -한국과 중국을 중심으로-

As ESG management is becoming an essential condition for the survival of companies around the world, social demands and expectations for companies are growing in Korea and China as well. As required in the field of social sciences, it is important to review the results of related studies and to examine whether the results can be applied to similar contexts. The purpose of this study is to present the current status and future development direction through a comprehensive analysis of the literature related to ESG management and its performance in the strategic management field in Korea and China. To do this, we first look at the ESG concept and related terms. Although traditionally focused on financial performance, such as economic performance, sustainability management is starting to consider non-financial performance as well. The literature reports on the contribution of ESG-based non-financial performance to a company’s sustainability. We then select the empirical literature that relies on specific measures of sustainable management and review the results. A total of 31 studies published in related journals in Korea and China are selected using various criteria such as keywords and research methods, and the ESG evaluation system used in most studies and methodological problems inherent in the data are systematically reviewed. However, due to the lack of sufficient sample, the failure to distinguish and analyze the industrial characteristics of the company remains an issue to be addressed in future studies.

Public policy support and the competitiveness of the renewable energy sector – The case of Poland

Many countries worldwide developed own policies of fostering the sector of renewable energy technologies (RET). Indeed, public policy support has been discussed as pivotal to facilitating new sectors within the theory of infant industries. Particularly in the context of emerging economies, the achievement of the international competitiveness of the RET sector may require public support. On the other hand, however, certain governmental decisions may not turn out to be supportive to RET companies, particularly at such early stage.Thus, the objective of this paper is to explore the role of public support in the RET sector in the context of an emerging market of Poland. In particular, the study aims at investigating the importance of different types of support measures, as well as their relative relevance in different sub-sectors of RET. The study addresses these objectives in a mixed-method empirical study, which sheds light on both the particular support instruments, as well as the expectations of RET companies with regard to the role of the public authorities in building the competitiveness of this sector. Among others, the study finds support for the notion that economic policy is a key determinant of the competitive position of the RET sector, whereby hard measures have a stronger influence than soft ones. The conclusion section provides a number of policy recommendation.

Organization New Forms: Old Strategies during the E-Strategies Studying in the Cultural Industry

The internet cultural era has shown a high interest for scientists and experts in the use of web (Internet, Intranet and Extranet) resources in electronically helping companies and organizations (e-operation) (ICE). However, while network technology is of great importance and high expectations for companies, the use of network technology by these internet-based organizations and the strategies these companies formulate and deploy for competing in ICE remain unclear. This paper examines the adoption of network technology among 56 Small to Medium-sized Enterprises (SMEs) in the logistics and tourism sector. It focuses on how these SMEs are unlearning their old strategy formulation and implementation and are engaging in e-strategy formulation. Reported findings indicate considerable gaps between theory and practice. The article indicates that SMEs are required to examine a number of situational antecedents to recognize e-strategic opportunities in order to leverage the network technology to its full potential. The work, thus, provided a fresh insight into the existing approaches for evolving types of organizations, and as such, scholars and practitioners alike are likely to be involved.

Schlumberger pilots new lithium extraction

Schlumberger New Energy will build a pilot plant that directly extracts lithium, a raw material for batteries, from underground brine in Clayton Valley, Nevada. The direct process requires weeks, rather than the usual year, to obtain the lithium, Schlumberger says, and also reduces water use by 85%. The company expects the $15 million unit to start up by the end of the year. Results will be used to optimize design of a full-scale production plant.

Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model

Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration into large truck-involved crashes could help determine factors that are influential in crash severity. The current study focuses on large truck-involved crashes to predict influencing factors on crash injury severity. Method: Two techniques have been utilized: Random Parameter Binary Logit (RPBL) and Support Vector Machine (SVM). Models have been developed to estimate: (1) multivehicle (MV) truck-involved crashes, in which large truck drivers are at fault, (2) MV track-involved crashes, in which large truck drivers are not at fault and (3) and single-vehicle (SV) large truck crashes. Results: Fatigue and deviation to the left were found as the most important contributing factors that lead to fatal crashes when the large truck-driver is at fault. Outcomes show that there are differences among significant factors between RPBL and SVM. For instance, unsafe lane-changing was significant in all three categories in RPBL, but only SV large truck crashes in SVM. Conclusions: The outcomes showed the importance of the complementary approaches to incorporate both parametric RPBL and non-parametric SVM to identify the main contributing factors affecting the severity of large truck-involved crashes. Also, the results highlighted the importance of categorization based on the at-fault party. Practical Applications: Unrealistic schedules and expectations of trucking companies can cause excessive stress for the large truck drivers, which could leads to further neglect of their fatigue. Enacting and enforcing comprehensive regulations regarding large truck drivers’ working schedules and direct and constant surveillance by authorities would significantly decrease large truck-involved crashes.

Critical Interpretations of Global-Local Co-Productions in Subscription Video-on-Demand Platforms: A Case Study of Netflix’s YG Future Strategy Office

This study examines the dynamics of co-production between a global subscription video-on-demand (SVOD) platform and a local producer. Based on a case study of “YG Future Strategy Office” co-produced by YG Entertainment and Netflix, it examines how various expectations of both companies are embedded in this series. On one hand, YG considers co-production as a means of promoting its artists for the global market which otherwise cannot be produced through pre-existing broadcasters. On the other hand, Netflix expects such co-productions to target the Asian market so that it can respond to the entry of incumbent media moguls into the SVOD market. While such co-productions seem to benefit both global platforms and local producers on the surface, however, this relationship may result in deteriorating the position of local actors as potential subcontractors considering the importance of distribution in the mediascape.

Data Mining preparation: Process, Techniques and Major Issues in Data Analysis

Data preparation is an essential stage in data analysis. Many institutions or companies are interested in converting data into pure forms that can be used for scientific and profit purposes. It helps you set goals regarding system capabilities and features or the benefits your company expects from its investment. This purpose creates an immediate need to review and prepare the data to clean the raw data. In this paper, we highlight the importance of data preparation in data analysis and data extraction techniques, in addition to an integrated overview of relevant recent studies dealing with mining methodology, data types diversity, user interaction, and data mining. Finally, we suggest some potential suggestions for future research and development.

Decision Support System for Staff Assignment Using VIKOR Algorithm

Call center staff is a staff who work in providing repair or servicing services by telephone. This staff is in charge of explaining the solutions to be carried out by the company in obtaining answers. Call center staff must have a good temperament and smart. In getting good staff, companies can use a decision support system with the VIKOR method to select and select these staff. Five criteria will be tested in determining the staff. The results of the VIKOR method can help companies find call center staff that match company expectations. The ranking results can determine the level of results of the VIKOR method test on call center staff who are used as candidates or alternatives. By implementing this method, the search for call center staff will be better.

ФАКТОРИ РИЗИКУ ФІНАНСОВОГО СТАНУ МІЖНАРОДНИХ КОМПАНІЙ ТА ЗАВДАННЯ АУДИТУ В УМОВАХ ПАНДЕМІЇ

The purpose of the publication is to study modern non-standard conditions in the international business of large corporations and audit tasks. The crisis caused by COVID-19 has shaken the confidence of experts in the growth of the world economy. Today, about a third of respondents (32%) admit that compared to the beginning of the year, they have less faith in the prospects for global growth in the next three years. However, the loss of confidence is not so impressive when it comes to the views of managers about the future of their companies: here only 17% say a decrease in confidence. Managers are undoubtedly more confident in the well-being of their companies because they have more control and leverage. Accordingly, the task was to study the main factors that characterize and reveal the problems of modern audit of financial statements of international companies; identified and characterized the main risks that arise in international business in a pandemic; the main requirements of the audit are formed to ensure the minimization of these risks. The relevance of this topic is that it provides an overview and analysis of current security challenges in the context of global change. The article summarizes current issues for research and development of strategies for storage and growth of business, considers the main responsibilities of management of international business and audit in COVID-19, identifies the characteristics of auditing in high risk, formed additional audit tasks in a pandemic and management staff, identified the main potential threats and audit objectives for their assessment, given the main recommendations of the audit based on international standards, the need to expand the report of the independent auditor. An important factor in the successful existence of a business unit with different levels of corporate organization and type of activity is a rapid response to events that affect society as a whole, not just in the economic sphere. When conducting an audit in modern conditions, the auditor takes into account the attention and expectations of a large company not only on the confirmation of financial statements, but also on the prospects for operations in non-standard conditions.

PENGARUH CITRA PERUSAHAAN, EKSPEKTASI DAN KUALITAS PELAYANAN TERHADAP TERHADAP LOYALITAS NASABAH BANK BRI KC BENGKULU

This article was created to see anything that has a major impact on the company's image,expectations, and service quality on customer loyalty of BRI KC Bengkulu Bank. Thisresearch is associative. The type of data used is qualitative data and quantitative data withprimary data sources and secondary data. With the sampling technique using accidentalsampling technique where the customer who is the sample is the customer who is there atthe time the researcher was doing the research. In conducting research, the data collectedwill be used to solve existing problems so that the data must be truly reliable and accurate.The data methods used here include interviews, observations, questionnaires or a list ofquestions. These are techniques used by compiling closed questions and must be filled in byrespondents by selecting one of the available alternative answers. The research results areexpected to serve as a reference for the company's image, expectations and company qualityas well as loyalty and serve as input for Bank BRI to grow customer loyalty

ANALISIS KEPUASAN DAN KEBUTUHAN PENGGUNA LULUSAN INSTITUT TEKNOLOGI KALIMANTAN DENGAN MENGGUNAKAN METODE RATING SCALE

In the world of work, the quality of employees is very concerned about supporting smooth work. Companies definitely choose prospective employees who have the qualities that the company expects. because of this, universities are required to develop soft skills that are balanced with hard skills. In addition to the quality of graduates, universities must also know the needs of companies and adjust to DUDI (world of work and industry). This will have an impact on graduates who will enter the world of work. The better the name of the college, the greater the opportunity for college graduates to join the company. Keywords: Quality of Graduates, Satisfaction, and Company Needs.

Business Roundup

BUSINESS Business Roundup ShareShare onFacebookTwitterWechatLinked InRedditEmail C&EN, 2020, 98 (48), p 19December 21, 2020Cite this:C&EN 98, 48, 19AbstractMitsubishi Chemical has purchased land along the Mississippi River in Geismar, Louisiana, to build a 350,000-metric-ton-per-year methyl methacrylate plant that uses its novel Alpha technology. The company expects to make a final investment decision in 2022 and complete the plant in 2025. Mosaic , a fertilizer maker, and the agricultural microbe firm BioConsortia plan to develop nitrogen-fixing microbes for crops including corn and wheat. The microbes can help farmers reduce reliance on synthetic nitrogen and decrease losses of the nutrient to air and water, the firms say. Ultrapar , a Brazilian conglomerate, says it is evaluating strategic alternatives, including a sale, for its Oxiteno specialty chemical business. Ultrapar says it wants to focus on oil and gas. Ginkgo Bioworks has acquired the main assets of Novogy, a developer of oil-generating yeasts, from Total. Novogy’s strains, particularly of Yarrowia lipolytica , will help speed development of biobased oils for commodities andView: PDF | Full Text HTML

Analisis Kinerja, Seleksi dan Pengembangan Vendor Trucking di Perusahaan Logistik

Freight forwarding is a logistics company which provide land delivery services rely heavily on trucking vendors. The available trucking vendors may not fulfill the company's expectations. Therefore the research was conducted to analyze the performance, selection process, management and development of 26 trucking vendors. The research began with the formation of a Critical Success Factor (CSF) and its development, namely a Key Performance Indicator (KPI) in accordance with company objectives. Then the CSF and KPI was weighted through the Analytic Hierarchy Process (AHP) method, determined the optimal performance value of each KPI, measured the performance of each vendor through the scoring method, analyzed the performance of the trucking vendor that was not optimal through Root Cause Analysis (RCA) by looking for the cause based on fishbone diagrams and FMEA tables, as well as providing suggestions regarding the management and development of trucking vendors. The results of the study were 11 CSFs and 28 KPIs that were formed. Based on the selection process conducted on 26 trucking vendors, there are 3 excellent vendors, 4 very good vendors, 11 good vendors, 3 matching vendors, and 5 unsatisfactory vendors. Furthermore, researcher conducted root cause analysis (RCA) of vendor representatives “matching” and “unsatisfactory” categories with fishbone diagrams and FMEA tables. Where the 5 highest RPN values from the FMEA table were given suggestions for improvement. Meanwhile, the excellent, very good, and good vendor categories are developed through strategic plans for the future.

The Use of Intelligent Packaging in Supply Chain of Food Products

The research aims to identify the limitations and expectations of producers, transport companies, distributors and retailers in introducing intelligent packaging into supply chains of food products on the market of the Western Balkans. The limitations and benefits from the use of intelligent packaging have been identified in transportation, storage, operations of physical handling and display of food products at the place of their final purchase. The results have shown that there are significant differences in terms of limitations affecting the implementation of intelligent packaging into business operations of supply chains, bearing in mind the business type, number of employees, available capital and integrated standards into business operations. In contrast to this, the results point that there are no significant differences in terms of benefits that the analysed entities expect from introducing intelligent packaging into their systems. A set of measures and incentives have been defined for the competent institutions and food supply chain management to take, in order to minimize the restrictions and advance the implementation of intelligent packaging. The proposals and suggestions for further research are stated in the paper.

ANALISIS KOMPARATIF KINERJA KEUANGAN PERUSAHAAN SEBELUM DAN SESUDAH INITIAL PUBLIC OFFERING (IPO) DI BURSA EFEK INDONESIA (BEI) TAHUN 2016

This study aims to analyze differences in the company's financial performance before and after the Initial Public Offering (IPO) on the Indonesia Stock Exchange in 2016. The observation period was conducted for 2 years before and 2 years after the IPO. The sampling technique was purposive sampling in order to get 12 companies. Variables used to measure financial performance are Current Ratio (CR), Debt to Asset Ratio (DAR), Debt to Equity Ratio (DER), Return On Asset (ROA), Return On Equity (ROE), Total Asset Turn Over (TATO) ), and Fixed Asset Turn Over (FATO). This research uses a quantitative approach with statistical methods. The data analysis technique used is one sample Kolmogorof Smirnof to test the normality of the data and paired sample t-test and Wilcoxon signed rank test to test the hypothesis. The results of this study indicate that there are differences in the company's financial performance measured by CR, DAR, DER, and TATO before and after the Initial Public Offering (IPO) and there is no difference in the company's financial performance measured by ROA, ROE, and FATO before and after the Initial Public Offering (IPO). ). The results of overall financial performance after the IPO action have not been fully realized so that the company's expectations for creating better financial performance have not been realized.

How Are Inflation Expectations of Enterprises Formed: Survey Results

The article presents the results of a survey of manufacturing enterprises conducted to study the nature of inflation expectations of Russian companies. The survey data show a high heterogeneity and weak anchoring of inflation expectations (i.e., their instability in the case of short-term inflation fluctuations), which indicates the continuation of adaptation processes in the Russian economy in the transition to inflation targeting policies. In this situation, an important task for the central bank is to strengthen the impact of monetary policy measures on the process of generating inflation expectations of enterprises.