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George, Abin, M. Ramachandran, Vimala Saravanan, and Ashwini Murugan. "Assessment of Manufacturing Companies using WASPAS MCDM Method." 4 1, no. 4 (December 1, 2022): 1–10. http://dx.doi.org/10.46632/jdaai/1/4/1.
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A manufacturing commercial enterprise is any business that makes use of uncooked materials, components, and additives to collect finished products. Manufacturing is described as the creation of latest merchandise from uncooked materials or components. Productivity to understand what is missing Companies Expanding their service business Based on this extensive research, for managers in manufacturing companies We try to provide guidance. Weighted Total Product Assessment (WASPAS) analysis used the results of this study to provide decision makers with these complexity, compatibility, perceived benefits, technical resources, security and privacy as alternative and evaluation parameters ofArea of manufacturing, Job position, Age, Working experience in this position. Security and privacy is got the first rank whereas is the Perceived benefits is having the Lowest rank. In this paper Manufacturing Companies Security and privacy is got the first rank whereas is the Perceived benefits is having the Lowest rank
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Sanchez-Ruiz, Lidia, Beatriz Blanco, and Emma Diaz. "Difficulty in implementing continuous improvement – Rasch measurement analysis." Business Process Management Journal 25, no. 6 (September 17, 2019): 1228–50. http://dx.doi.org/10.1108/bpmj-05-2017-0125.
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Purpose The purpose of this paper is to define a general and common construct in order to measure the level of difficulty companies experience when they implement continuous improvement (CI). Additionally, a rank of barriers is obtained together with a rank of companies. Design/methodology/approach In order to achieve the objective, first, a literature review is carried out to specify the domain of the construct; second, a sample of items is selected; third a survey is carried out in companies that have already implemented CI initiatives, the results being thus limited to this population; fourth, measures are purified by analysing the reliability and validity of the measurements, and finally results are obtained. The Rasch measurement theory will be used to provide a new perspective on a mature research topic. Findings It can be concluded that a new valid construct has been defined together with a rank of CI barriers, being lack of time the main barrier. A rank of companies is also obtained which is a first step in the development of future research studies. Practical implications Managers are provided with a better understanding of the barriers that can obstruct CI implementation. Thus, the rank of CI barriers guides managers through the most common and important obstacles so that they will be able to plan better CI strategies. In addition, the rank of companies allows each company to undertake a benchmarking exercise. Originality/value This work proposes a new way of analysing the difficulty in implementing CI as a continuum, rather than as independent barriers. From a theoretical point of view, it defines a new construct and offers a rank of CI barriers together with a rank of companies based on their level of difficulty when implementing CI initiatives. This is something new, as previous studies were mainly focussed on the items side. From a practical point of view, this study offers the surveyed companies the opportunity to see how they are positioned with respect to the other companies. Moreover, this rank of companies is the foundation on which to develop further studies with a practical orientation in the future.
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Silveira, Daniel Duarte da, Marlon Soares Sigales, Ramón Justiniano Benítez Centurion, Ângelo Vieira dos Reis, and Mauro Fernando Ferreira. "COMPUTATIONAL TOOL FOR SELECTION AND RANKING OF PULL-TYPE FORAGE HARVESTERS." Revista Engenharia na Agricultura - Reveng 29 (August 4, 2021): 129–37. http://dx.doi.org/10.13083/reveng.v29i1.10573.
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The variety of forage harvester models available on Brazilian market demand practical tools for selecting and ranking these equipments. The present study aimed at the elaboration of an algorithm capable of providing simple and objective criteria that assist in the decision making. The communication channel of the companies was used to obtain technical specifications and price of the equipment, which were tabulated in spreadsheets. The instructions for the manipulation of the obtained data were elaborated in the software R, being calculated ranks for the following requirements considering simulated information about a farm: price (COT), productivity and price relation (PROD.COT), fuel consumption (CONS), operational comfort (CONF), versatility (VERS) and overall (GERAL). We obtained information from 45 models belonging to 8 companies. The best machine in the overall rank got similar rank in the COT, PROD.COT and CONS ranks and worst rank for CONF. The algorithm established allowed the selection and ranking of the forage harvesters analyzed, providing simple, objective and easily interpreted criteria for the use of the farmers and the technicians who assist them.
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Chien, LiHsien, and Shuyi Chi. "An integrated data envelopment approach for evaluating the meat companies efficiency." Agricultural Economics (Zemědělská ekonomika) 65, No. 10 (October 22, 2019): 470–80. http://dx.doi.org/10.17221/91/2019-agricecon.
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The purpose of this study is to apply the assurance region (AR) concept to restrict the range of input-output weights with expert opinions in the data envelopment approach (DEA). Opinions from 34 experts were collected by a questionnaire in order to rank the importance of cost and revenue sources and measure the influence of business factors with the fuzzy analytic hierarchy process (FAHP). This article suggests that a DEA with AR specification in variable weights can present realistic results to measure and rank the performance of twenty meat auction companies (MAC) in Taiwan. We categorise MACs into four groups by decomposing their two revenue sources with auction and slaughter priority and recommend the managerial strategies for each group to improve operational efficiency. This consideration is more critical for small samples or industries that are close to the spatial competitive market structure.<br />
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Al Alawi, Mubarak. "Delay in payment effects on productivity of small and medium construction companies in Oman: exploration and ranking." Asian Journal of Civil Engineering 22, no. 7 (August 21, 2021): 1347–59. http://dx.doi.org/10.1007/s42107-021-00387-8.
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AbstractMaintaining a stable productivity rate in a construction project is a challenge. Many external and internal factors influence it. Delay in payment is one of the factors representing the project cash flow and mirrors the company’s financial stability status. This study explores the delay in payments effects on the construction productivity of the small and medium construction companies in Oman. Also, it ranks the delay in payment among other productivity factors. Sixty-five small and medium construction companies registered in Oman Tender Board participated in the questionnaire survey. The results showed that delay in payment significantly affects the financial stability of the companies. The delay in payment was ranked third out of 21 influencing productivity factors. The results were compared with a previous study that covered large construction companies in Oman. It was found that the rank of delay in payment in the small and medium construction is significantly higher than what was found in large companies.
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Weng Hoe, Lam, Lam Weng Siew, and Liew Kah Fai. "Performance analysis on telecommunication companies in malaysia with TOPSIS model." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (February 1, 2019): 744. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp744-751.
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Emergence of telecommunication companies is springing up due to the high demand from the consumers. The invention of telecommunication has made the world more knowledgeable as information can be transmitted easily. Based on the past studies, telecommunication is not commonly investigated especially in financial management field. Thereore, this study aims to propose a conceptual framework to evaluate, compare and rank the financial performance of the listed telecommunication companies in Malaysia using TOPSIS model. Financial ratios are employed to examine the financial performance of the telecommunication companies. The data of this study consists of DIGI, MAXIS, AXIATA and TM which are listed telecommunication companies in Malaysia stock market. The results of this study show that DIGI achieves the first ranking, followed by MAXIS, AXIATA and TM within the study period of year 2011-2015. This study is significant because it helps to evaluate, compare and rank the financial performance of the listed telecommunication companies in Malaysia with the proposed conceptual framework based on TOPSIS model.
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JONES, KATHRYN, and TONY ALABASTER. "CRITICAL ANALYSIS OF CORPORATE ENVIRONMENTAL REPORTING SCORING SYSTEMS." Journal of Environmental Assessment Policy and Management 01, no. 01 (March 1999): 27–60. http://dx.doi.org/10.1142/s1464333299000041.
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Scoring systems are increasingly being used to rate, rank and benchmark corporate environmental reports. This paper outlines the four basic levels of measurement or scales utilised in scoring systems highlighting the rules of scaling and statistical application. The scoring systems created by seven groups of analysts and researchers are described and assessed for their methodological approaches. The research shows that the axioms of the scales are rarely obeyed, thus creating skewed and misleading results. The implications of utilising such scoring system to rate, rank and benchmark companies can have repercussions on the type of publicity that companies receive, and they must be better understood and executed in order that companies can deal with the consequences more readily.
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Sousa, Nádia, and Flávia Zóboli Dalmácio. "Corporate governance and corporate investment: an exploratory research in the Brazilian publicly traded companies listed in Bovespa." Corporate Ownership and Control 9, no. 1 (2011): 545–57. http://dx.doi.org/10.22495/cocv9i1c5art4.
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This paper aims to study the influence of Corporate Governance practices in the institutional decision to invest. It was developed a Governance Index (iGov), a descending rank was prepared and a test was applied to check if the companies in the first 25% of this rank have the highest number of institutional investors among their biggest investors than the companies of the last 25%. For the validation of IGov it was tested if the companies with the best marks present highest Returns, lowest Capital Cost, highest Market Value, and highest Competiveness within the sector, lowest Beta, highest EVA® and lowest Share concentration. It has been proved that the best Corporate Governance practices do not have any statistical relation with the presence of more Institutional Investor.
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Abd Rahim, Zati Halwani, Norasyikin Abdullah Fahami, Farah Waheeda Azhar, Hilwana Abd Karim, and Siti Khatijah Nor Abdul Rahim. "Application of TOPSIS Analysis Method in Financial Performance Evaluation: A Case Study of Construction Sector in Malaysia." ADVANCES IN BUSINESS RESEARCH INTERNATIONAL JOURNAL 6, no. 1 (May 31, 2020): 11. http://dx.doi.org/10.24191/abrij.v6i1.9934.
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This research aims to propose TOPSIS model in evaluating, comparing, and ranking the Malaysian companies under the construction sector according to their financial performance using financial ratio. Previously, TOPSIS model and financial ratio as tools of measurement have been applied to evaluate, compare, and rank the financial performance of the companies. Nevertheless, there are not many researches have been done on TOPSIS model in Malaysia’s construction sector. Hence, this paper intends to fill in the loopholes by assessing the performance of the companies from the construction sector in Malaysia stock market by implementing the proposed model. Based from the findings, TOPSIS model was able to assess the companies’ financial performance and consequently rank them. The results from the study parallel with the study done by other investment agencies. Therefore, this method can be opted to substitute the fundamental and technical valuation that is commonly utilised by the investment analysts.
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Aghajani, Ahmad. "An Empirical Study: Impact of Integrated Marketing Communications (IMC) On Brand loyalty." Journal of Management and Accounting Studies 2, no. 04 (July 3, 2019): 6–11. http://dx.doi.org/10.24200/jmas.vol2iss04pp6-11.
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This current study has done to investigate the relationship between integrated marketing communications (IMC) and loyalty to brand in view point of customers of detergent industries companies In Karaj City. Methodology: The statistical population in this study is consists of customers in detergent companies In Karaj City which 384 people is as the sample size of customers, by using the Cochran formula with the method of available and simple random sampling were selected. For collecting data by the method of Questionnaires were used, questionnaires selected in this study were standard. Results: Data with statistical programs in both descriptive and inferential statistics were analyzed. The reliability of questionnaires with Cronbach's alpha coefficient was calculated and these coefficients for questionnaires integrated marketing communications and brand loyalty respectively was equal to 0.788, 0.754 and 0.717. All Hypotheses at the level of 95% confidence were confirmed. Conclusion: The results of the Minor hypotheses showed that sale promotion on brand loyalty in the first rank, advertising on brand loyalty in the second rank, public relations on brand loyalty in the third rank, direct marketing on brand loyalty in fourth rank and the last rank have located.
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Wyon, Matthew A., Nick Allen, Ross Cloak, Sarah Beck, Paul Davies, and Frances Clarke. "Assessment of Maximum Aerobic Capacity and Anaerobic Threshold of Elite Ballet Dancers." Medical Problems of Performing Artists 31, no. 3 (September 1, 2016): 145–50. http://dx.doi.org/10.21091/mppa.2016.3027.
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An athlete’s cardiorespiratory profile, maximal aerobic capacity, and anaerobic threshold is affected by training regimen and competition demands. The present study aimed to ascertain whether there are company rank differences in maximal aerobic capacity and anaerobic threshold in elite classical ballet dancers. Seventy-four volunteers (M 34, F 40) were recruited from two full-time professional classical ballet companies. All participants completed a continuous incremental treadmill protocol with a 1-km/hr speed increase at the end of each 1-min stage until termination criteria had been achieved (e.g., voluntary cessation, respiratory exchange ratio <1.15, HR ±5 bpm of estimated HRmax). Peak VO2 (5-breathe smooth) was recorded and anaerobic threshold calculated using ventilatory curve and ventilatory equivalents methods. Statistical analysis reported between-subject effects for gender (F1,67=35.18, p<0.001) and rank (F1,67=8.67, p<0.001); post hoc tests reported soloists (39.5±5.15 mL/kg/min) as having significantly lower VO2 peak than artists (45.9±5.75 mL/kg/min, p<0.001) and principal dancers (48.07±3.24 mL/kg/min, p<0.001). Significant differences in anaerobic threshold were reported for age (F1,67=7.68, p=0.008) and rank (F1,67=3.56, p=0.034); post hoc tests reported artists (75.8±5.45%) having significantly lower anaerobic threshold than soloists (80.9±5.71, p<0.01) and principals (84.1±4.84%, p<0.001). The observed differences in VO2 peak and anaerobic threshold between the ranks in ballet companies are probably due to the different rehearsal and performance demands.
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Sakinah, Ulfa, and Adhisyahfitri Evalina Ikhsan. "ANALISIS PERBADINGAN KINERJA KEUANGAN DAN ABNORMAL RETURN SEBELUM DAN SESDUAH AKUISISI PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014." Jurnal Ilmiah Mahasiswa Ekonomi Akuntansi 5, no. 1 (July 8, 2020): 59–68. http://dx.doi.org/10.24815/jimeka.v5i1.15436.
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The purpose of this study was to see a comparison of financial performance and abnormal return of companies before and after the acquisition of companies listed on the Stock Exchange in 2014. The number of samples used in this study were 10 companies, with a purposive sampling approach. The analysis technique used was paired sample t test and Wilcoxon signed rank test. The variables used are return on equity, current ratio, debt to equity ratio, total asset turn over, earnings per share, and abnormal return. Testing the hypothesis in this study using the sample t-test and Wilcoxon signed ranks test. The results of this study indicate that there are differences in the ratio of total asset turn over, while the return on equity ratio, current ratio, debt to equity ratio, earnings per share, and abnormal return there are no significant differences between before and after the company makes an acquisition.
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Setiawan, Anton, Zuliani Dalimunthe, and Eko Rizkianto. "Bankruptcy Risk among Indonesian Stock Exchange Listed Companies." GATR Journal of Finance and Banking Review Vol. 4 (4) Oct-Dec 2019 4, no. 4 (December 31, 2019): 122–27. http://dx.doi.org/10.35609/jfbr.2019.4.4(2).
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Objective – This research analyses whether there was a change in bankruptcy risk of companies in Indonesia for the period between 2015–2018, during the first presidency period of Joko Widodo, when Indonesia experienced tremendous dynamic economic, political and technological change. Previous research generally discusses the predictability of bankruptcy models, whereas this study analyses how the dynamics of the bankruptcy risk of companies in Indonesia using the most widely known and recognized models. Methodology/Technique – We employed a Wilcoxon-rank test to evaluate whether there are differences in the bankruptcy risk of companies year to year for the overall company and for each sector. We evaluated 154 companies listed on the Indonesian Stock Exchange. Findings – We found that the number of companies categorized in the bankruptcy zone increased every year and almost doubled during the studied time period (49 companies in 2013 compared to 90 companies in 2018). Novelty – The analysis shows that there is a significant number of companies that experienced bankruptcy risk each year, except for the periods between 2013 to 2014 and 2016 to 2017. On average, when we look at more detail for sectors and each year, the results show statistically significant increasing bankruptcy risk in all sectors except the transportation sector. Type of Paper: Empirical Keywords: Bankruptcy Risk; Corporate Bankruptcy Prediction; Altman Z-score; Wilcoxon Rank-test; Indonesia. Reference to this paper should be made as follows: Setiawan, A; Dalimunthe Z; Rizkianto E. 2019. Bankruptcy Risk among Indonesian Stock Exchange Listed Companies, J. Fin. Bank. Review 4 (4): 122 – 127 https://doi.org/10.35609/jfbr.2019.4.4(2) JEL Classification: G32, G33, E66.
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Belkhir, Lotfi, and Mary Mathew. "A case study of global agency innovation rankings: implications on current definitions of innovation." Problems and Perspectives in Management 16, no. 3 (August 15, 2018): 269–84. http://dx.doi.org/10.21511/ppm.16(3).2018.22.
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In this paper, the authors analyze global innovation rankings as provided by Strategy&amp; over the last 7 years. They first explore the raw ranks and report variations in year-over-year (YOY) ranks for top ten ranking companies. The normalized innovation ranks are then used to calculate the Innovation Power (inP) to assess if these companies maintained or improved their ranks over time. An interesting classification of innovations for the top 10 emerges from this analysis. The constant top innovators were Apple and Google. The rising innovators were Tesla, 3M and Facebook. Other classifications are discussed. The authors propose a non-statistical predictive model, which is reminiscent of a kinematic model using a novel concept of Innovation Momentum (inM) and predict that for 2017, Apple and Google will hold their first and second place, followed by Amazon, Samsung and Tesla. Facebook is also expected to rise in its rank. Companies that reach out and serve end-user needs with service innovations appear rising in ranks, far more than R&amp;D intensive patent filing innovators in these ranks. Tesla is an interesting top ranker to watch. There are implications for software focused companies gaining importance given their flexibility over hardware dominant ones. Some bottom innovators are further declining. Although the rankings are perception-based, there is a pattern that implies it is not random or merely subjective. The analysis highlights the need for leaders and consultants to put in perspective the complex management problem of measuring innovation.
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Pfeifer, Marcel Rolf. "SMEs in Automotive Supply Chains: A Survey on Six Sigma Performance Perceptions of Czech Supply Chain Members." Processes 10, no. 4 (April 4, 2022): 698. http://dx.doi.org/10.3390/pr10040698.
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Six sigma is understood as a technique for the continuous improvement in process quality; however, it has been rarely scientifically analysed in small- and medium-sized enterprises (SMEs). SMEs representthe vast majority of enterprises throughout economies and contribute to automotive supply chains in various tier ranks. As SMEs are known to lack resources and skills while focusing on short-term benefits rather than on long-term gradual improvements, the aim of of this paper is to analyse the perception of six sigma process capabilities in automotive supply chains assuming differences in company size, supply chain rank and six sigma duration. This was tested with Fisher’s exact test. Companies with less than 1000 employees, subsuppliers and companies with a six sigma implementation in the last 3 years struggled to meet six sigma principles, suggesting that mainly small companies inhibit a risk for the supply chain. These findings contribute to the existing theoretical body of knowledge by identifying a three-to-five-year period for six sigma implementations until six sigma maturity. Practically, the findings contribute to the research by explaining the need for a continuous supplier development over a three-to-five-year period until the company meets its performance requirements, with a supply chain risk incorporated in lower-tier ranks and with small companies.
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Šlogar, Helena. "Relationship between market orientation and innovativeness in companies." International Review, no. 3-4 (2021): 21–29. http://dx.doi.org/10.5937/intrev2103021s.
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Market orientation as a marketing concept has an impact on innovative processes in companies. The aim of this research is to examine whether there is a positive relation between market orientation and innovativeness in Croatian companies. The research was conducted on a sample of 303 Croatian companies using a survey questionnaire. Data were analyzed using the Spearman rank correlation, canonical analysis and cluster analysis. The results show that there is a statistically significant positive correlation between market orientation and innovativeness in companies. This research contributes to the consideration of the interconnectedness of constructs that can provide useful insights into their content and joint influences on the positioning of innovative enterprises in the international market.
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Romindo, Romindo. "Analisa Penentuan Saham Terbaik Menggunakan Metode Analytic Hierarchy Process (AHP)." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 3 (July 31, 2021): 790. http://dx.doi.org/10.30865/mib.v5i3.2978.
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The number of stock investors has increased from the past to the present. Likewise, the number of companies listed on the Indonesia Stock Exchange (IDX). What makes investors confused about choosing the best stock from the hundreds of stocks that are regulated on the IDX. The method used for the best stock is the Analytic Hierarchy Process (AHP) method. Investors will enter criteria that take into account the specified criteria and criteria. The criteria used to determine stocks are C1 = PER, C2 = PBV, C3 = DER, C4 = ROE and C5 = ROA. The results of research conducted in the second rank show that alternative A1 = CPIN is in the first rank with a Priority Vector of 0.6536, alternative A2 = JFPA is in the second rank with a Priority Vector of 0.2013 and alternative A3 = UTAMA is in the second rank. second rank. second rank. second rank. ranked third with a Priority Vector of 0.1452.
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Handayani, Desi Pitri. "Comparison of Company's Financial Performance Before and During The Covid-19 Pandemic for Land and Air Transportation Service Companies in IDX." Indonesian Financial Review 2, no. 2 (February 28, 2023): 99–115. http://dx.doi.org/10.55538/ifr.v2i2.19.
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This study aims to analyze differences in the company's financial performance before and during the Covid-19 pandemic. The sample used in this study were companies in land and air transportation services listed on the Indonesia Stock Exchange for the 2018-2021 period. The number of samples used were 19 companies. While the variables used in this study include: CR, NPM, ROA, and DER. Data were collected by the documentation method. The data analysis method used descriptive statistical analysis, normality test with Kolmogorov-Smirnorv test, Paired sample t-test difference test if the data were normally distributed, and Wilcoxon Signed Rank if the data were not normally distributed. The results of this study indicate that there is no difference between CR, NPM, ROA and DER between before and during the Covid-19 pandemic.
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Neganov, S. A., and V. P. Neganova. "Factors hindering the integration of Russian companies into digital platforms." Economics and Management 28, no. 8 (September 13, 2022): 767–77. http://dx.doi.org/10.35854/1998-1627-2022-8-767-777.
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Aim. The presented study aims to identify the main factors (and the degree of their influence) hindering the integration of companies into digital and non-digital platforms that are actively developing in the Russian economy and opening up new horizons of development, removing traditional organizational barriers and boundaries.Tasks. The authors conduct a pilot qualitative study of twenty companies and twenty platform holders of different levels to identify, systemize, and rank factors affecting the decision of companies to integrate into a specific platform.Methods. This study uses the methods of in-depth semi-structured interviews, content analysis, systematization, and Spearman’s rank correlation to investigate the relationship between the responses of company executives and platform holders.Results. It is shown that nine main factors mentioned by both groups of respondents prevent companies from mutually beneficial cooperation with platforms. However, the ranking of determinants produces ambiguous results.Conclusions. Research makes an ascertainable contribution to science. In particular, it complements existing scientific literature and business practices in several areas. Conceptually new information is obtained about what prevents companies from cooperating with platforms from the perspective of platform holders and company managers. The quantitative ranking of barriers for both groups is presented, making it possible to identify existing and potential problems that platform holders may face, evaluate them, and effectively manage the processes of overcoming barriers with allowance for their rating. Scientific results form a foundation for future research, since the information obtained during the interviews can be used as a basis for indepth quantitative analysis that would make it possible to further generalize and use the results.
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Dalla Riva, Chris. "Sweet little lies: Deceptive statistics in the album charts." Significance 20, no. 4 (August 1, 2023): 18–21. http://dx.doi.org/10.1093/jrssig/qmad061.
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Abstract Think Spotify’s album charts are a straightforward reflection of listening habits? Think again. Chris Dalla Riva explains how music streaming services rank albums – and how record companies can game the system
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Hikmah. "ANALISIS KINERJA KEUANGAN SEBELUM DAN SESUDAH MERGER PADA SEKTOR PERBANKAN." Postgraduate Management Journal 1, no. 1 (July 1, 2021): 59–66. http://dx.doi.org/10.36352/pmj.v1i1.123.
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This study aims to determine changes in the company's financial performance before and after the case merger in banking companies listed on the Indonesia Stock Exchange. The population in this study were all banking companies that carried out the merger. The sample used was five banking companies that conducted mergers in 2015 to 2019. The technique used in sampling was purposive sampling technique. The data analysis technique used in this research is quantitative analysis to test the differences in financial performance ratios with the Wilcoxon Signed Rank Test. The result have changes in banking companies listed on the Indonesia Stock Exchange between before and after the merger
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Farhan, Muhammad, Abdul Jabbar Khan ., and Muhammad Akram . "Venture Capital Sector in Pakistan: Ratio Analysis Approach for Financial Performance Assessment." Information Management and Business Review 2, no. 6 (June 15, 2011): 287–92. http://dx.doi.org/10.22610/imbr.v2i6.909.
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The purpose of study is to rank the venture capital companies operating in Pakistan during the period of 2006-2009 on the base of their financial performance. Ratio analysis technique was used to rank the venture capital companies using profitability / efficiency ratios and total assets as proxies of financial performance. This study concludes that TRG Pakistan Limited is at first in ranking on the bases of return on assets (ROA), return on equity (ROE), and total assets, and at second on the base of earnings per share (EPS). AMZ Ventures Limited is at first on the base of earnings per share (EPS), at second in ranking on the bases of return on assets (ROA), return on equity (ROE), and total assets. TMT Ventures Limited is third on the bases of all ratios, and total assets. This is the first attempt that was made with an objective to facilitate the students, investors and management of company with useful information regarding financial performance of all venture capital companies operating in Pakistan.
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Cocis, Andreas-Daniel, Larissa Batrancea, and Horia Tulai. "The Link between Corporate Reputation and Financial Performance and Equilibrium within the Airline Industry." Mathematics 9, no. 17 (September 3, 2021): 2150. http://dx.doi.org/10.3390/math9172150.
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This study examines how corporate reputation is perceived by investors through the financial performance and equilibrium of several airline companies. We used a sample of 22 companies. Nineteen are listed in the World Airline Awards 2018 ranking based on client satisfaction, and three companies are included in the Fortune ranking and enjoying the best corporate reputations in the airline industry. The analyzed period was 2016–2018. The purpose of this study was to rank airline companies based on financial indicators by means of the TOPSIS method to see whether the companies included in the Fortune ranking would keep a similar hierarchy. Results indicated that companies maintained a similar order in the TOPSIS ranking after considering financial performance and equilibrium indicators. The overall conclusion was that companies with a good financial performance and equilibrium enjoyed a good corporate reputation from investors’ point of view.
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Bauer, Christina, and Jana Turčínková. "Product Elimination in German Industrial Companies: A Comparison Study with US and UK Industrial Companies." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 68, no. 3 (2020): 585–96. http://dx.doi.org/10.11118/actaun202068030585.
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This paper focuses on the product elimination in German industrial companies, especially in the mechanical engineering sector. The Product Life Cycle (PLC) theory is based on the typical curve, which shows the different stages a product experiences over the time. The last stage, the so-called decline or elimination phase, is characterized with decreasing sales figures, low market share and shrinking profits. Therefore, it sounds logical that such products should be eliminated. This study is analyzing if these indicators really are the only reasons to start the elimination process of a product, or if there are other reasons triggering this decision too. This paper is based on results of personal structured interviews (n = 102) with representatives of German mechanical engineering companies. The data was processed with use of statistical software SPSS, mean values and standard deviations were calculated, and Spearman's rank order correlation value analysis was applied. The results of this study were then compared with other earlier studies: Avlonitis (1984), Hart (1988), and Mitchell et al. (1998). The main findings suggest that the data from the new German study are highly correlating with the data from the United States (Mitchell et al., 1998) and the United Kingdom (Avlonitis, 1984; Hart, 1988). The results show that the reasons to phase out a product have not changed over the time; neither are the reasons different in different economics.
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Miletić, Slavica, Dejan Bogdanović, Goran Stojanović, Ana Milijić, and Marko Trišić. "Selection of business models in unstable conditions in mining companies." Podzemni radovi, no. 41 (2022): 1–14. http://dx.doi.org/10.5937/podrad2241001m.
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This paper aims to rank business models for successfully overcoming socio-economic instability through criteria using an appropriate multicriteria decision-making method (MCDM). In this paper, the AHP method was used to calculate the difficulty criteria. The literature review identified and analyzed six business models: digital business models where companies will be found, competitive advantage models, global, deglobal, market models based on new products and services and customer-built business models. The findings of this research improve the understanding of several business models on the basis of which the management of mining companies can successfully overcome the socio - economically unstable situation.
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Xu, Jia-Rong. "Analysis of Bullwhip Effect Under Different Segmentation Conditions of Daily Used Chemical EnterpriseTake P&G and Unilever as Examples." Business Prospects 3, no. 1 (June 1, 2022): 22–29. http://dx.doi.org/10.52288/bp.27089851.2022.06.03.
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The Fortune Global 500, which includes industrial, corporate and service companies, released its latest ranking on August 2nd, 2021. As the most famous and authoritative list to measure the world’s largest companies, it provides the latest development trend of the world’s largest enterprises. The companies on the list are all the best in every field. There is no doubt that these enterprises provide reference value to similar enterprises in marketing strategies, supply chain management, talent training and product orientation. This paper focuses on the products demand and supply chain management of daily used chemical enterprises, take Protect & Gamble (rank 128th in The Fortune Global 500, 2021) and Unilever (rank 175th in The Fortune Global 500, 2021) as examples and explore their products demand under different conditions. The STP strategy is applied to re-segment the market of the two companies. The data are collected and sorted from the three aspects of geographic regions, product categories and four quarters to obtain the volatility of each group of data under each segmentation condition. The data are combined and analyzed using the Bullwhip Effect to find out the largest and smallest fluctuations of combinations. According to the relevant results, the preventive measures and solutions to Bullwhip Effect are proposed for reference to reduce costs and improve efficiency.
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Karbassi Yazdi, Amir, Peter Wanke, Maryam Ghandvar, Marjan Hajili, and Mousa Mehdikarami. "Implementation of Sustainable Supply Chain Management considering Barriers and Hybrid Multiple-Criteria Decision Analysis in the Healthcare Industry." Mathematical Problems in Engineering 2022 (June 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/8221486.
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This research aims to find the barriers that affect the implementation of sustainable supply chain management (SSCM) and rank them using hybrid multiple-criteria decision analysis (MCDA) methods in the healthcare industry. As companies seek to earn revenue by providing goods or services to customers, they must also consider social responsibility, economics, and the environment as other multiple external factors. One of the most crucial factors is the company’s stewardship of the environment, but economic factors must be regarded when keeping the environment clean by balancing the economic situation to make a profit. This study extracts the barriers to implementing SSCM from previous studies, adapts these barriers to the healthcare industry, and ranks them using a hybrid best-worst method (BWM) and combined compromise solution (CoCoSo) method. The result indicates that hospital 7 should rank SSCM higher than the other six healthcare centers evaluated. Moreover, among the barriers, high disposal costs is the most crucial factor when considering implementing SSCM.
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Hsu, Pi-Fang, Chia-Wen Tsai, and Ying-Hua Chu. "An Outsourcing Decision Model Based on AHP and Sensitive Analysis for Distribution Marketing Companies." International Journal of Customer Relationship Marketing and Management 5, no. 2 (April 2014): 38–51. http://dx.doi.org/10.4018/ijcrmm.2014040103.
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In recent years, many companies have focused their budget on distribution marketing. Through distribution marketing, products can be more directly distributed to consumers and the rate of return is increased. The researchers in this study design a model for selecting distribution marketing companies on the basis of the perceptions of companies selling certain brands (BCs). First, the proposed model adopts the modified Delphi method to identify suitable criteria for evaluating distribution marketing companies. Next, the model applies the analytic hierarchy process (AHP) to determine the relative weights of evaluation criteria, ranks the alternatives and selects the distribution marketing company (DMC). This paper also adopts sensitivity analysis to examine how other evaluative criteria would change with any alterations in the weightings of the evaluation criteria. Additionally, a well-known Taiwanese beverage company is used as an example to prove how a DMC is selected by applying this model. The results indicated that BCs rank criteria in terms of importance as follows: store services, dispatching sales manpower, product management, service standards and cost consciousness. Finally, the model adopts Sensitivity Analysis to inquire into which criteria weights change the evaluative factor, and how other evaluative factors incur corresponding degrees of change. This proposed model can provide enterprises an objective and efficient method to select the optimal DMC.
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Park, Chol-Jung, Soo-Yong Kim, and Minh V. Nguyen. "Fuzzy TOPSIS Application to Rank Determinants of Employee Retention in Construction Companies: South Korean Case." Sustainability 13, no. 11 (May 21, 2021): 5787. http://dx.doi.org/10.3390/su13115787.
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Employee retention is becoming a major concern in organizational management. To maintain business’ competitive advantages, companies need to keep employees working for their organizations. Thus, many firms are trying to find out how to retain their employees. This study aims to investigate determinants of employee retention of South Korean construction employees. From the review of the literature and discussions with industrial practitioners, eight significant determinants affecting employee retention in South Korean construction firms are identified. The fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) is employed to prioritize the identified determinants. The fuzzy TOPSIS analysis shows that personal characteristics, personal development, promotion opportunities, and work-life balance are the four most critical determinants. Construction firms are suggested to focus on these determinants to improve employee retention rates within their companies and achieve sustainable development.
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Berezhnaya, O. V., and N. V. Solovyeva. "RATING ASSESSMENT OF CORPORATE RISKS OF RUSSIAN CHEMICAL INDUSTRY COMPANIES." Scientific Journal ECONOMIC SYSTEMS 13, no. 3 (2020): 118–28. http://dx.doi.org/10.29030/2309-2076-2020-13-3-118-128.
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The article analyzes and summarizes the practical experience of assessing the risks of companies in the real sector of the Russian economy by rating agencies, identifies the main shortcomings and problems of such an assessment in the context of activities and risk factors. To analyze the risks of the chemical industry, based on the materials of rating agencies, a 5% typological sample of companies belonging to the type of activity «Production of chemicals and chemical products» in each of the federal districts of the Russian Federation was carried out. These include companies that form the main financial result of the industry in the region and rank first in the ranking in terms of revenue in their district. The number of selected companies was 277 units.
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Jabłoński, Bartłomiej, and Dorota Kika. "The Impact of Macroeconomic Indicators on the Share Prices of Dividend Companies – A Comparative Analysis of Polish and US Issuers for the Period 2016–2020." Folia Oeconomica Stetinensia 22, no. 2 (December 1, 2022): 78–96. http://dx.doi.org/10.2478/foli-2022-0020.
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Abstract Research background: The aim of the article is to compare Polish and US dividend companies with potential growth with dividend companies with potential value, including in the period of economic turbulence caused by the pandemic, and to identify macroeconomic determinants that affect changes in the level of share prices of dividend companies with potential value listed on the stock exchange in Poland and the US. An analysis of the literature and international studies conducted allows us to identify inflation, gross domestic product (GDP), interest rate levels, exchange rate changes, and market P/E and P/BV ratios, as well as the PMI index, as the most important macroeconomic factors. Purpose: The aim of the article was to present research on the impact of macroeconomic indicators on the prices of Polish and US shares of dividend companies, divided into shares with potential value and potential growth for the period 2016–2020. The research was enriched by analyzing the return rate on shares and the risk of the share prices of companies with potential value during the turbulence of the economy caused by the COVID-19 pandemic. Research methodology: The study was conducted using the Spearman rank correlation coefficient and significance test for the Spearman rank correlation coefficient. A non-parametric t-test was carried out to check whether the estimated correlation is statistically significant. Results: The research indicates that Polish and US dividend companies with potential value have lower average annual return rates than dividend companies with potential growth. Referring to the determinants of the share prices of US dividend companies with potential value, it was found that they are significantly determined by inflation and moderately determined by industrial production and GDP, as well as the P/BV ratio. Novelty: The added and application value are the recommendations regarding the attractiveness of investing in Polish dividend companies with potential value as compared to companies from the US market.
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Jencova, Sylvia, Petra Vasanicova, Beata Gavurova, and Radovan Bacik. "Financial position of companies operating in food processing industry of Slovakia by using multidimensional scaling." Economics & Sociology 15, no. 2 (2022): 253–73. http://dx.doi.org/10.14254/2071-789x.2022/15-2/16.
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The food processing industry (FPI) is an integral part of the Slovak economy. This paper aims to compare the financial position of the largest companies operating in the Slovak FPI at the NUTS II level (Western, Central, and Eastern Slovakia Region) by using the multidimensional scaling (MDS) method. The second aim is to provide an intercompany comparison of these companies using methods of multi-criteria evaluation. The research sample consists of 60 largest companies whose ranking was obtained through the Register of the Financial Statements of the Slovak Republic according to the amount of generated revenues in 2019. The MDS method found out dissimilarity between the elements (eight financial ratios calculated for 2018 and 2020) of a set of objects (60 companies from FPI). The MDS resulted in two-dimensional matching configuration plots for the mentioned regions and years. Moreover, statistically significant values of Spearman’s rank correlation coefficients show that most companies from the Slovak FPI reached a similar rank within all methods of multi-criteria evaluation. There are described the financial ratios (return on assets and return on equity) of the whole Slovak FPI in 2007-2020, separately for the Manufacture of food products (Division 10 of NACE Rev. 2), and for the Manufacture of beverages (Division 11). Partially, this paper also deals with the Manufacture of tobacco products (Division 12). The results of this study point to the importance of innovation in the FPI in the context of Industry 4.0.
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Boonvorachote, Tanachote, and Rapeepat Sakulveeraphan. "Financial Performance in Thai Food Industry." KnE Life Sciences 4, no. 2 (March 1, 2018): 277. http://dx.doi.org/10.18502/kls.v4i2.1682.
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This paper aims to rank priority on companies’ performance improvement for Thai medium- and large-sized food industry: cost-efficiency seeking and value-added creation. Listed (large-sized) companies of Thai food industry show better performance than non-listed (medium-sized) companies in every measurement dimension, for examples, larger company sizes, higher profitability and lower costs of capitals. In short run, Thai non-listed food companies should aim for seeking cost-efficiency from production and financial cost reduction including foreign exchange risk due to their main sales volumes relying on export market. To enhance companies’ value for Thai listed food companies, companies’ economic value-added increases by fixed asset turnover, profit margin, sales growth, and time interest earned. On the other hand, Average costs of capitals (WACC) are negatively related to economic value-added. The food companies with high EVA will have lower costs of capitals. The listed companies achieve their value enhancing target quite satisfied, while non-listed companies should set this value-enhancing target for their long-run goal Keywords: Economic Value-Added; Cost Efficiency; Thai Food Industry
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Asomaku, S. O., S. B. Arokoyu, and O. Lawal. "Drivers’ Behaviour and Risk Perception among Haulage Companies in Rivers State, Nigeria." Asian Journal of Advanced Research and Reports 17, no. 10 (July 17, 2023): 17–22. http://dx.doi.org/10.9734/ajarr/2023/v17i10529.
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The study examined the risk perception influence on drivers’ behaviour (violations) among haulage companies in Rivers State, Nigeria. A total of 210 copies of questionnaire was administered among 20 haulage companies and the retrieved questionnaire were analysed using descriptive and inferential statistics such as frequency counts, percentage and spearman rank. The findings revealed that haulage drivers hardly ever involve in violations such as “pull out of a junction so far that the driver with the right of way has to stop and let you out” (41.4%), “stay in a motorway lane that you know will be closed ahead until the last minute before forcing your way into the other lane” (67.6%) and never disregarded the speed limit on a residential road (70.7%); however, they occasionally drive so close to the car in front that it would be difficult to stop in an emergency (51.0%). From the spearman rank analysis, it was revealed that there is a statistically significant relationship between the Risk Perception Index (RP_Index) and Ordinary Violation (OV_index) (where p-value < 0.05 and p = 0.000). The correlation coefficient (r) of the analysis showed that the relationship between RV_Index and AV_index is weak and positively correlated (were r = 0.256). It was concluded that the extent of risk perception by the haulage drivers have significant relationship with their violation behaviour, and such relationship tends to be weak and positive.
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Bombiak, Edyta. "Effect of Green Intellectual Capital Practices on the Competitive Advantage of Companies: Evidence from Polish Companies." Sustainability 15, no. 5 (February 23, 2023): 4050. http://dx.doi.org/10.3390/su15054050.
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The purpose of this research was to determine the impact of Green Intellectual Capital practices on the competitive advantages of companies in Poland. The study included 150 Polish producing enterprises located across Poland. The first stage of the analysis was an assessment of the level of impact of GIC practices on the competitiveness of the studied organizations with the use of the 5-point Likert scale. The second stage involved an investigation into the correlation between the rating of the impact of GIC practices and their implementation on the basis of the Spearman’s rank correlation coefficient and the regression function. In the course of this research, it was determined that GIC practices had an impact on the competitiveness of organizations and that the impact varied according to the GIC component. Polish managers hold that the major impact was attributed to Green Organizational Capital. The impact of the component was rated at 2.4 on the adopted 5-point scale. In turn, the impact of Green Human Capital and Green Relational Capital was only 2.1. The identification of the correlation between GIC practices and the competitiveness of organizations provides an opportunity for the managers to better understand how companies can achieve a competitive advantage through investment in green intellectual capital. The research findings may, therefore, generate increased interest in GIC development in companies.
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Oliveira, Altina S., Carlos F. S. Gomes, Camilla T. Clarkson, Adriana M. Sanseverino, Mara R. S. Barcelos, Igor P. A. Costa, and Marcos Santos. "Multiple Criteria Decision Making and Prospective Scenarios Model for Selection of Companies to Be Incubated." Algorithms 14, no. 4 (March 30, 2021): 111. http://dx.doi.org/10.3390/a14040111.
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This paper proposes a model to evaluate business projects to get into an incubator, allowing to rank them in order of selection priority. The model combines the Momentum method to build prospective scenarios and the AHP-TOPSIS-2N Multiple Criteria Decision Making (MCDM) method to rank the alternatives. Six business projects were evaluated to be incubated. The Momentum method made it possible for us to create an initial core of criteria for the evaluation of incubation projects. The AHP-TOPSIS-2N method supported the decision to choose the company to be incubated by ranking the alternatives in order of relevance. Our evaluation model has improved the existing models used by incubators. This model can be used and/or adapted by any incubator to evaluate the business projects to be incubated. The set of criteria for the evaluation of incubation projects is original and the use of prospective scenarios with an MCDM method to evaluate companies to be incubated does not exist in the literature.
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Zadeh, Seyed Reza Mousavi, Mohammad Reza Pahlavan Kondor Sharifi, Azam Bigdeli, and Fariba Bigdeli. "Identification and Rank of the Factors Affecting on Customer Loyalty in Companies Distributing Goods ( FMCG )." Academic Journal of Research in Economics and Management 2, no. 6 (June 2014): 1–10. http://dx.doi.org/10.12816/0006565.
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Javornik, Samo, Metka Tekavcic, and Mojca Marc. "The Efficiency Of Intellectual Capital Investments As A Potential Leading Indicator." International Business & Economics Research Journal (IBER) 11, no. 5 (April 30, 2012): 535. http://dx.doi.org/10.19030/iber.v11i5.6972.
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This paper aims to test the VAIC model in order to explore and recognize the relationship between Intellectual Capital (IC) components and the financial performance of companies, with an ambition to establish whether IC investment efficiency indicators can serve as potential leading indicators of the future financial performance of companies. We test our hypotheses by using the VAIC model. The data set includes more than 12,000 Slovenian companies within a 14-year period (from 1995 to 2008). OLS regression and panel regression method are used as tools. Most of the research hypotheses have been confirmed, but the results are of limited practical use. In contrast to the primary test, our test conducted on the ranked data indicates a high degree of correspondence between the improvement in rank of a companys IC investment efficiency and the improvement in rank of its financial performance in the peer group. As IC value is a result of above-average financial performance, the IC investment efficiency can potentially serve as leading indicators of future financial performance. By comparing the results of similar studies, we indicate possible systematic biases as potential sources of differences in the results, and suggest the areas that need further investigation.
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Pattnaik, Chinmaya Ranjan, Sachi Nandan Mohanty, Sarita Mohanty, Jyotir Moy Chatterjee, Biswajit Jana, and Vicente Garcia Diaz. "A fuzzy multi-criteria decision-making method for purchasing life insurance in India." Bulletin of Electrical Engineering and Informatics 10, no. 1 (February 1, 2021): 344–56. http://dx.doi.org/10.11591/eei.v10i1.2275.
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Life insurance is an agreement between an insured and an insurer, where the insurer pays out a sum of money either on a specific period or the death of the insured. Now a day, People can buy a policy through an online platform. There are a lot of insurance companies available in the market, and each company has various policies. Selecting the best insurance company for purchasing an online term plan is a very complex problem. People may confuse to choose the best insurance company for buying an online term. It is a multi-criteria decision making (MCDM) problem, and the problem consists of different criteria and various alternatives. Here in this paper, a model has been proposed to solve this decision-making problem. In this model, a fuzzy multi-criteria decision-making approach combined with technique for order preference by similarity to ideal solution (TOPSIS) and it has been applied to rank the different insurance companies based on online term plans. The experimental results show that the life insurance corporation of India (LIC) gets the top rank out of 12 companies for purchasing an online term plan. A sensitivity analysis has been performed to validate the proposed model.
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Pashaki, Mahdi Mohammadinejad, and Sina Kheradyar. "An Investigation into the Effect of Audit Quality on Accounting Conservatism in Companies Listed in Tehran Stock Exchange." International Letters of Social and Humanistic Sciences 50 (March 2015): 107–17. http://dx.doi.org/10.18052/www.scipress.com/ilshs.50.107.
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The present study sought to investigate the effect of audit quality on accounting conservatism in Iranian capital market. In this study, given the hypotheses and theoretical foundations of the study, three hypotheses were formulated and the effect of each of the factors of industry-specialist auditor, auditor rank, and auditor tenure was examined on accounting conservatism of companies. The period for investigation was from 2009 to 2013. Its population was determined as all companies listed in Tehran Stock Exchange and the statistical sample of the study included 100 companies. The data required for this study were extracted from website of Tehran Stock Exchange and after collecting events through available resources and entering data in Excel software; its functions were used to calculate the variables of the study. Then, the results from measuring variables were entered into Eviews software for statistical calculations and the relationship between variables were evaluated using this software. The results of the study showed that there is a positive relationship between accounting conservatism and auditing attributes such as auditor rank and auditor tenure. Also, the obtained results indicated that there is no significant relationship between accounting conservatism and customer industry-specialist auditor.
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Lombardi Netto, Antonio, Valerio Antonio Pamplona Salomon, and Miguel Angel Ortiz Barrios. "Multi-Criteria Analysis of Green Bonds: Hybrid Multi-Method Applications." Sustainability 13, no. 19 (September 22, 2021): 10512. http://dx.doi.org/10.3390/su131910512.
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There is an increasing pressure by the community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was created. Our research question is “How to select bonds in a growing billion-dollar market?” This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic hierarchy process (AHP), complex proportional assessment (COPRAS), full consistency method (FUCOM), step-wise Weights Assessment Ratio Analysis (SWARA), and technique of order preference similarity to the ideal solution (TOPSIS) are MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new ranks from MCDA are compared each other and compared with the rank published by specialized media.
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Zilli, Vitória Francesca Biasibetti, Cesar David Paredes Crovato, Rodrigo da Rosa Righi, Rodrigo Ivan Goytia Mejia, Giovani Pesenti, and Dhananjay Singh. "I4.0I: A New Way to Rank How Involved a Company Is in the Industry 4.0 Era." Future Internet 15, no. 2 (February 13, 2023): 73. http://dx.doi.org/10.3390/fi15020073.
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Cloud, IoT, big data, and artificial intelligence are currently very present in the industrial and academic areas, being drivers of technological revolution. Such concepts are closely related to Industry 4.0, which can be defined as the idea of a flexible, technological, and connected factory, encompassing the shop floor itself and its relationship between workers, the chain of supply, and final products. Some studies have already been developed to quantify a company’s level of maturity within the scope of Industry 4.0. However, there is a lack of a global and unique index that, by receiving as input how many implemented technologies a company has, enables its classification and therefore, comparison with other companies of the same genre. Thus, we present the I4.0I (Industry 4.0 Index), an index that allows companies to measure how far they are in Industry 4.0, enabling competitiveness between factories and stimulating economic and technological growth. To assess the method, companies in the technology sector received and answered a questionnaire in which they marked the technologies they used over the years and the income obtained. The results were used to compare the I4.0I with the profit measured in the same period, proving that the greater the use of technology, the greater the benefits for the company.
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Kim, Song-Kyoo. "Explicit Design of Innovation Performance Metrics by Using Analytic Hierarchy Process Expansion." International Journal of Mathematics and Mathematical Sciences 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/125950.
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The paper presents the explicit and objective measurement method for innovation performances by using the extensive version of Analytic Hierarchy Process (AHP). A hierarchical framework is constructed for the innovation performance criteria and giving the guideline for innovation performance of companies. By applying AHP Expansion framework, the innovation performance measurement factors can be prioritized and descending-order rank list of the performance factors can be made in order to select the best strategies to improve the innovativeness of companies. This new framework of innovation measurement is targeted for implementation at the actual analysis for innovation competitiveness of companies and expected to provide the milestones of measuring the innovation more effectively.
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AOYAMA, HIDEAKI, WATARU SOUMA, YUICHI NAGAHARA, MITSUHIRO P. OKAZAKI, HIDEKI TAKAYASU, and MISAKO TAKAYASU. "PARETO'S LAW FOR INCOME OF INDIVIDUALS AND DEBT OF BANKRUPT COMPANIES." Fractals 08, no. 03 (September 2000): 293–300. http://dx.doi.org/10.1142/s0218348x0000038x.
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We analyze the distribution of income and income tax of individuals in Japan for the fiscal year 1998. From the rank-size plots, we find that the accumulated probability distribution of both data obey a power law with a Pareto exponent very close to -2. We also present an analysis of the distribution of the debts owed by bankrupt companies from 1997 to March 2000, which is consistent with a power law behavior with a Pareto exponent equal to -1. This power law is the same as that of the income distribution of companies. Possible implications of these findings for model building are discussed.
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Pan, Yaqian, Wenxin Song, and Yanjun Xv. "Research and Analysis on Market Value Management in China Based on Method of Rank-Sum Ratio and Principal Component Analysis." International Journal of Economics and Finance 8, no. 11 (October 26, 2016): 124. http://dx.doi.org/10.5539/ijef.v8n11p124.
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<p>Since 2005, China has implemented the split-share reform. After entering the full-circulation era of stock equity, the pursuit for maximize the company value has turned into the primary goal of listed companies in the course of their management and development. Thus, they attach great importance to the concept of market value management. The management of stockholders in listed companies began to pay attention to the inner values and the performances in the stock market of their enterprises, and thereby the concept of market value management is established. However, the weak efficiency of China’s capital market has resulted in the deviation between market values and inner values of companies. Thus, companies need to implement market value management and devise corresponding solutions so that two kinds of values can be well-matched.</p>This paper presents the definition of market value management at first. Next, it studies the background of the emergence of market value management as well as its development status in China, which are also compared with the overseas value management. And then, it makes a literature review and analyzes Economic Value Added Evaluation System (EVA), a performance evaluation system of market value management. It adopts the method of Rank Sum Ratio (RSR)and Principal Component Analysis to make empirical analyses,which evaluates the level of market value management of listed companies in China and discovers the weak links existing in the process of market value management .This paper eventually puts forward corresponding countermeasures and suggestions.
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Asomaku, S. O., S. B. Arokoyu, and O. Lawal. "Risk Perception and Drivers’ Characteristic among Haulage Companies in Rivers State, Nigeria." South Asian Journal of Social Studies and Economics 20, no. 2 (July 9, 2023): 1–7. http://dx.doi.org/10.9734/sajsse/2023/v20i2692.
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The study examined the relationship between risk perception and driver characteristics among haulage companies' drivers in River State, Nigeria. A total of 210 copies of the questionnaire were administered among 20 haulage companies, and the retrieved questionnaire was analysed using descriptive and inferential statistics such as frequency counts, percentage and spearman rank. On the drivers’ characteristics, the outcome showed that respondents were driving haulage vehicles in the last 6-10 years (62.9%) and driving 13-16 hours (67.6%) in one trip (86.2%). The analysis revealed that most respondents disagreed with various risk perceptions, such as the skills required for handling haulage vehicles are similar to that of other vehicles (91.9%), and anyone with driving experience can handle haulage vehicles (86.7%). The Spearman Rank analysis revealed that there was no significant relationship between risk perception index and years of driving haulage vehicle (where p-value > 0.05, p= 0.069), duration of driving for the current company (where p-value > 0.05, p= 0.488) and numbers of hours driving daily (where p-value > 0.05, p= 0.094). However, the analysis showed a significant relationship between the risk perception index and the number of trips per day (where p-value < 0.05, p=0.000). The correlation coefficient (r) of the relationship between risk perception and drivers' characteristics was weak and negative (where r = -0.126, -0.048, -0.117 and -0.374, respectively). It was concluded that drivers of the haulage showed positive risk perceptions towards the safety and handling activities related to haulage activities, and how these drivers perceived risk in their activities can influence their driving behaviour.
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Fauzi, Hasan, and Kamil M. Idris. "The Impact of Management on CSR." Issues In Social And Environmental Accounting 4, no. 2 (December 31, 2010): 104. http://dx.doi.org/10.22164/isea.v4i2.49.
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The purpose of this study is to investigate the difference in the CSR perceived by the actors in the Indonesia economy represented by managers working in state-owned companies (BUMN) and non state-owned companies. The unit of analysis in this study is Indonesian managers. The population of this study is all Indonesian managers working in the Jakarta stock exchange’s listed companies and in state-owned companies. Based on the mean difference analysis, the result is that there is no difference of CSR perceived by managers working in SOC and POC. The rank of CSR dimensions perceived by managers is as follows: (1) corporate governance, (2) customer, (3) employment, (4) community and society, (5) environment, (6) human rights,<br />and (7) controversial business. <br /><br />
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De Wet, JHvH, and JH Hall. "An analysis of strategic performance measures of companies listed on the JSE securities exchange South Africa." South African Journal of Economic and Management Sciences 9, no. 1 (July 11, 2014): 57–71. http://dx.doi.org/10.4102/sajems.v9i1.1157.
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This study highlights the importance of economic profits (EVA) and their long-term effects on shareholder value (MVA). South African companies listed on the JSE were analysed and it is evident that the relative measure of internal performance (spreads) can be used to rank companies in terms of value creation. Individual companies and sectors were also placed on a financial strategy matrix, which evaluated companies according to spreads and cash management. The sales growth less the SGR percentage, was used to indicate cash management. Statistical tests (regression analysis) were done on the data to test the validity of the financial strategy matrix model. The results showed that there is a positive relationship between spreads and shareholder value, but sales growth less the sustainable growth rate does not contribute significantly to shareholder value.
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Alamoudi, Mohammed H., and Omer A. Bafail. "BWM—RAPS Approach for Evaluating and Ranking Banking Sector Companies Based on Their Financial Indicators in the Saudi Stock Market." Journal of Risk and Financial Management 15, no. 10 (October 17, 2022): 467. http://dx.doi.org/10.3390/jrfm15100467.
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Seeking the greatest possible return on long-term investments, investors naturally seek equities of the best-performing companies that fit their investment timeframe. Long-term investment success rests on selecting the best companies, which requires a challenging analysis reviewing voluminous and often-conflicting data about companies and understanding broader economic forecasts. This paper undertook a case study deployment of MCDM methodologies to examine the suitability and effectiveness of Multi-Criteria Decision-Making (MCDM) methods in assessing and ranking the best stocks for portfolio inclusion. A combination of MCDM techniques comprised a methodology to evaluate and rank Saudi Arabian banking stocks based on their performance in the Saudi stock market. Specifically, the paper combined the Best–Worst Method (BWM) and Ranking Alternatives by Perimeter Similarity (RAPS) for the analysis. BWM calculated each criterion’s relative impact (weight) in selecting a stock. RAPS then used the weighting to rank the results of the investigation. The study’s findings yielded encouraging results regarding using an integrated MCDM technique to derive optimal banking sector securities in the expansive Saudi stock market. The novel application of the robust RAPS technique combined with BWM encourages continued and increased use of MCDM techniques in financial matters and broader application in evaluating equities.
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GIBADULLIN, Eskander I. "Digital maturity index for Russian public companies." Finance and Credit 28, no. 12 (December 28, 2022): 2873–98. http://dx.doi.org/10.24891/fc.28.12.2873.
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Subject. The article addresses the digital maturity index, which is necessary for measuring the level of digitalization of Russian issuers to further explore the digital premium in current pricing models in the Russian stock market. Objectives. The purpose is to develop an original model for assessing the level of digital maturity of Russian issuers to compare the efficiency of ongoing digital transformation in the domestic market. Methods. The study draws on the comparative analysis of data from 51 domestic issuers operating in 11 sectors of the Russian economy. Results. Based on my original model, I compiled a Digital Maturity Index to rank domestic issuers by the level of digital development. This index enables to analyze the efficiency of digital transformation in general, and to compare companies with their competitors. Conclusions. The domestic economy has great development potential due to the ongoing digital transformation of Russian companies. The high level of training of domestic specialists in digitalization has contributed to domestic companies being among the pioneers of digital transformation. Companies in the financial and telecom sectors are among the leaders in the digitalization of business in the domestic market. Domestic steel companies also show significant rates of digitalization. The offered digital maturity index model sets the stage for the development of the topic of modern multifactor models that include a company's digital maturity factor.