Journal articles: 'Business metrics'

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Valiris, George, and Michalis Glykas. "Business analysis metrics for business process redesign." Business Process Management Journal 10, no. 4 (August 2004): 445–80. http://dx.doi.org/10.1108/14637150410548100.

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Fehlmann, Thomas M. "Strategic management by business metrics." International Journal of Quality & Reliability Management 20, no. 1 (February 2003): 134–45. http://dx.doi.org/10.1108/02656710310453863.

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Lundstrum, Leonard L. "Teaching international business development using current business metrics." Journal of International Education in Business 13, no. 2 (July 27, 2020): 263–74. http://dx.doi.org/10.1108/jieb-08-2019-0037.

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Purpose The purpose of this paper is to set forth a less-costly, more flexible approach to teaching the analysis of international business development opportunities. Design/methodology/approach The approach capitalizes upon the high-quality business condition metrics, which are necessary to inform the development decision, that have recently become freely-available through a set of institutions that gather and distribute these metrics. Findings Critical thinking skills in this area are developed here not just by understanding the tools of analysis but also by having participated in a series of active classroom activities focused upon private investment decisions in a set of disparate countries. Practical implications This approach develops rising business professionals with refined critical thinking skills who will be able to immediately contribute to international business development decision-making. Social implications Opportunities for students to learn these critical thinking skills can be far more available because the traditional method by which these skills have been taught has been by finding a partner business with the resources to pay for such data. In exchange for allowing students to use the data experientially the partner firm benefits from the work product of the students who study the international business development project at the firm’s offices. Originality/value The approach set forth provides an accessible alternate for those on-campus students and distance-learning students who do not need to have the flexibility to travel to the site of a business partner – where most of this learning has heretofore been arranged.

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Heikkilä, Marikka, Harry Bouwman, Jukka Heikkilä, Sam Solaimani, and Wil Janssen. "Business model metrics: an open repository." Information Systems and e-Business Management 14, no. 2 (May 28, 2015): 337–66. http://dx.doi.org/10.1007/s10257-015-0286-3.

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Unwin, Stephen D., Barbara A. Fecht, and Theresa M. Bergsman. "Business metrics of laboratory space utilization." Facilities 26, no. 9/10 (July 4, 2008): 366–73. http://dx.doi.org/10.1108/02632770810885724.

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Muketha, G. M., A. A. A. Ghani, M. H. Selamat, and R. Atan. "Complexity Metrics for Executable Business Processes." Information Technology Journal 9, no. 7 (September 15, 2010): 1317–26. http://dx.doi.org/10.3923/itj.2010.1317.1326.

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Richards, Deanna J., and Thomas N. Gladwin. "Sustainability metrics for the business enterprise." Environmental Quality Management 8, no. 3 (1999): 11–21. http://dx.doi.org/10.1002/tqem.3310080303.

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Chaitanya Krishna, B., P. Sai Mounish, U. Vinay Kumar, and A. Divya Mallika. "Online Business Site Quality Assessment." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 838. http://dx.doi.org/10.14419/ijet.v7i2.7.11078.

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Online business is seen as a splendid alternative for associations to accomplish new customers. Now and again, various web-based business destinations will be small life time. The achievement of the small stores will be having some minor issues majorly on the quality metrices of the product, as it will a flighty game plan. Our paper portrays the pertinent game plan of online business site quality metrics in view of writing. Research was endeavored to affirm and set up the appropriate essential of those qualities. The results are gained from an item quality assessment demonstrate

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Syah, Rahmad, Mahyuddin K. M. Nasution, Erna Budhiarti Nababan, and Syahril Efendi. "Optimization Model Under Uncertainty for Competitive Merchant to Customer Behavior in Financial Technology Using Business Metrics." Journal of Computational and Theoretical Nanoscience 17, no. 7 (July 1, 2020): 3264–70. http://dx.doi.org/10.1166/jctn.2020.9171.

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Uncertainty of diverse merchant business actors is very much characteristic nowadays; its variants very much depend on the type of business actors, especially digital businesses. In this study we refer to E-Metrics, where every merchant and biller are netted in user behavior activities under the term Financial Technology “acquisition.” Business actors tend to continue to compete in prioritizing innovation so that a Knowledge Acceleration Estimator (KAE) model is needed as performance to facilitate the acceleration of sustainable business under uncertainty in business opportunities, in challenges of electronic kind, or so-called e-metrics.

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QUAH, TONG-SENG. "AN IMPLEMENTATION OF METRICS EXTRACTION AND ANALYZER TOOL." International Journal on Artificial Intelligence Tools 16, no. 01 (February 2007): 121–28. http://dx.doi.org/10.1142/s0218213007003230.

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Nowadays, developers use N-tier application architecture which is a flexible and reusable structure for distribution to any number of client interfaces. In this study, we have implemented metrics extraction and analyzer tool for Business Tier and Data Access Tier source codes. We used existing object-oriented metrics and complexity software metrics as proposed for Business Tier code1,3. We use a set of metrics for the Data Access Tier that has been proposed in our previous study2. The primary aim of the implementation of the metric extraction and analyzer tool is to facilitate generation of software metrics which are used as independent variables in software quality prediction models. A secondary goal is to gather and present information on the attributes of source code to assist the programmers in managing the software projects. This tool is able to generate the principal components, correlation analysis report and descriptive statistics report. These analysis reports are essential reports for the study of software measurement and software quality management.

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Nousiainen, Katri. "Legal design in commercial contracting and business sustainability New legal quality metrics standards." Journal of Strategic Contracting and Negotiation 6, no. 2 (June 2022): 137–58. http://dx.doi.org/10.1177/20555636221138972.

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There is surely room for improvement in commercial contracting practice. The current contracting evolution often leads to a situation where contracts become increasingly and may be needlessly, complex. The paper discusses how complex contracts evolve and how the proposed legal design approach can bring comprehensibility for tackling complexity in contracting. This approach is providing for various benefits and incentives, such as business sustainability, reduced transaction costs, and competitive business advantage. A novel legal quality metric is introduced. This metric will foster the measuring of quality in the legal profession. The metric, comprehensibility, would better serve both lawyers and clients in measuring the true quality of legal services, processes, and products – than the often used, easily misleading metrics such as time spent, cases won, and hours billed. Through this innovative approach to legal quality metrics, the paper will bring further understanding of the impact of comprehensibility in commercial contracting.

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Shanbhag, Narendranath, and Eric Pardede. "A Metrics Framework for Product Development in Software Startups." Journal of Enterprising Culture 27, no. 03 (September 2019): 283–307. http://dx.doi.org/10.1142/s0218495819500110.

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Business cases and customer problem spaces are evolving quicker than ever before and more startups are moving to adopt the lean startup methodology to match this speed of changing customer needs. This phenomenon, however, comes with its own set of opportunities and challenges for startups to build great products, while catering to customer pain points. To this end, there is a need for a metrics framework which can help startups succeed in creating good software solutions and building successful business models around these solutions. Metrics can help measure the effectiveness of the product in relation to the customer problem and help drive key decisions in both the product and business aspects of the startup. This paper reviews current frameworks on metrics for software products, studies the appropriateness in the context of software startups and proposes a metrics framework to help provide good software experiences, while subsequently building good business models around these experiences. The framework is designed to cover aspects of both the product and business space, ranging from considerations of the problem space identification to the evolution of the solution. The proposed framework is validated using a case study approach of a successful startup. The framework aims to help startups in their journey to success by providing an end to end, structured approach to metric identification.

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Stašák, Jozef, and Peter Schmidt. "Key performance indicators versus business process metrics." International Journal of Advanced Operations Management 10, no. 2 (2018): 130. http://dx.doi.org/10.1504/ijaom.2018.093284.

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Schmidt, Peter, and Jozef Stašák. "Key performance indicators versus business process metrics." International Journal of Advanced Operations Management 10, no. 2 (2018): 130. http://dx.doi.org/10.1504/ijaom.2018.10014278.

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Behl, Abhishek, Meena Chavan, Pankaj Dutta, and Pratima Amol Sheorey. "Benchmarking publication metrics for Indian business researchers." Benchmarking: An International Journal 27, no. 2 (October 22, 2019): 571–91. http://dx.doi.org/10.1108/bij-04-2019-0184.

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Purpose There is no particularly efficient way to measure research output, but effectual assessment of research output is necessary to motivate and encourage researchers to enhance their research performance and disseminate knowledge. The purpose of this paper is to highlight the exacerbating pressure on Indian academics to deliver incessantly in terms of research output and identify an agreeable way to increase research output. The metric explores trends in management publications by Indian academics and presents an overview of collaborative practices by Indian management researchers that could shine a light on the trends of collaborative publishing future. Design/methodology/approach The study focuses on publications in the area of Business and Management. Scopus was used with advanced filters to draw relevant research papers. Data were then sorted and filtered on the basis of quality determined through Australian Business Deans Council rankings and diverse bibliometric information to understand the pattern of research output of Indian academics. Findings The research found that the rate of collaboration with researchers from the home country is low for top rated publications. Majority of publications were listed in Scopus indexed journals, whereas a handful featured in A and A* journals. A and A* journals were predominantly co-authored with academics from universities outside the country. Tradeoff was achieved by majority of authors by getting published in B, followed by C category journals to achieve research outputs. Research limitations/implications The study is limited to publications in the area of Business and Management and may be extended to other disciplines such as economics, engineering, law, medical sciences, etc., to understand publishing trends at universities in the country. The study can also be conducted in understanding a similar dilemma with academics at other countries that are evolving in research culture. Practical implications The study would help management researchers to dig deep into the root cause and understand why and how collaborations within and outside the country impact the quality of publications. The results would further encourage ranking agencies to award suitable grades to colleges that promote collaboration within the country as well as international collaboration. The study also conducts a benchmarking exercise of the institutions in the country that would be useful for researchers, journals and colleges. Originality/value While earlier studies have highlighted the importance of foreign collaborations in academic publishing, there are a handful of studies that have focused on the role of collaboration within the home country. The practice of Indian authors collaborating with Indian counterparts at other universities would help understand the expertise of researchers at different universities and encourage the collaboration process and quality of publications in the country.

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Muketha, G. M., A. A. A. Ghani, M. H. Selamat, and R. Atan. "A Survey of Business Process Complexity Metrics." Information Technology Journal 9, no. 7 (September 15, 2010): 1336–44. http://dx.doi.org/10.3923/itj.2010.1336.1344.

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Pronk, Nicolaas P., Daniel Malan, Gillian Christie, Cother Hajat, and Derek Yach. "Health and Well-Being Metrics in Business." Journal of Occupational and Environmental Medicine 60, no. 1 (January 2018): 19–22. http://dx.doi.org/10.1097/jom.0000000000001167.

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Et. al., B. N. Lalithchandra ,. "Liquidity Ratio: An Important Financial Metrics." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 1113–14. http://dx.doi.org/10.17762/turcomat.v12i2.1129.

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The world of business has become an important criterion for survival these days. In the context of the realm of business, the liquidity ratio plays an imperative role in all possible ways. It has become the obligatory criteria in analyzing the liquidity ratio for a better understanding of the world of business nuances in general and the status of the company in particular. Analyzing the liquidity ratio guides in taking a bold and smart decision which will, in turn, seek the attention of prospective investors. It is highly essential for small-scale business developers to have a proper analysis of the liquidity ratio for better growth progress. This paper tries to investigate the needs of the liquidity ratio analysis from a business perspective.

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Spree, Florian. "Business Process Models in the Context of Predictive Process Monitoring." Revista de Informática Teórica e Aplicada 28, no. 1 (January 19, 2021): 39–46. http://dx.doi.org/10.22456/2175-2745.106828.

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Predictive process monitoring is a subject of growing interest in academic research. As a result, an increased number of papers on this topic have been published. Due to the high complexity in this research area a wide range of different experimental setups and methods have been applied which makes it very difficult to reliably compare research results. This paper's objective is to investigate how business process models and their characteristics are used during experimental setups and how they can contribute to academic research. First, a literature review is conducted to analyze and discuss the awareness of business process models in experimental setups. Secondly, the paper discusses identified research problems and proposes the concept of a web-based business process model metric suite and the idea of ranked metrics. Through a metric suite researchers and practitioners can automatically evaluate business process model characteristics in their future work. Further, a contextualization of metrics by introducing a ranking of characteristics can potentially indicate how the outcome of experimental setups will be. Hence, the paper's work demonstrates the importance of business process models and their characteristics in the context of predictive process monitoring and proposes the concept of a tool approach and ranking to reliably evaluate business process models characteristics.

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Mir, G. M., A. A. Balkhi, N. A. Lala, N. A. Sofi, M. M. Kirmani, Itifaq A. Mir, and H. Arif Hamid. "The Benefits of Implementation of Biometric Attendance System." Oriental journal of computer science and technology 11, no. 1 (March 22, 2018): 50–54. http://dx.doi.org/10.13005/ojcst11.01.09.

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Bio metric technology is now used for employees time management attendance system because it has ability to recognize peoples unique physiological characteristics. Because of multiple benefits of Bio metric attendance system it has gained high popularity in the market. Bio metrics attendance system is extremely useful in helping business community feel secure by eliminating employees time theft, as it relies on ones personal characteristics that vary between individuals. Since bio metrics characteristics cannot be duplicate, it prevents punching on behalf of a co-worker working in the same company. The manual practice of attendance system is time consuming and needs full time personal monitoring whereas bio metric attendance saves employee time, decreases staffing overhead and provides accurate labor data to payroll system to effectively manage business operations and thereby increase productivity. Moreover the bio metric attendance system has brought transparency and enhanced the work culture in the system. We will explore various advantages and disadvantages of implementation of the bio metric attendance system to a big organization, or small entrepreneur or unit and the necessary measures for its efficient implementation.

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Tashtoush, Yahya M., Aisha Zaidan, and Izzat M. Alsmadi. "Implications for Website Trust and Credibility Assessment." International Journal of E-Entrepreneurship and Innovation 3, no. 4 (October 2012): 17–33. http://dx.doi.org/10.4018/jeei.2012100102.

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With the expansion of the Internet services provided to users to cover almost all areas that were dominated by traditional face-to-face and location based businesses, one of the major challenges for such expansion is security and its related concerns. Customers or users need to trust the websites they visit in terms of the information or content. This research proposes a new formula for evaluating the credibility (called XD TRank) metric of websites. A case study of 40 selected websites in Jordan is used to assess the proposed credibibility metric. The metrics required to assess Websites and pages credibility are collected and evaluated based on 25 existing metrics and built a model using SPSS by applying stepwise linear regression analysis to predict the XD TRank. Results showed that there is a broad range of metrics that affect the credibility of a website or a webpage and their impact on credibility may vary on their significancy or impact on the trust rank metric. For e-business in particular, trust rank metrics can be used part of quality assurance and auditing processes. Those can be important assets for users to be able to distinguish known, popular and reliable e-commerce websites from spammers or websites which try to trick novice users. Trust rank can be also used like a logo in all Website pages to alert users if they were redirected to phishing pages.

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Yaqin, Muhammad, Riyanarto Sarno, and Siti Rochimah. "Measuring Scalable Business Process Model Complexity Based on Basic Control Structure." International Journal of Intelligent Engineering and Systems 13, no. 6 (December 31, 2020): 52–65. http://dx.doi.org/10.22266/ijies2020.1231.06.

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The business process model is a representation of business activities illustrated through diagram notations. This model is composed of repeated specific patterns called basic control structure. Each basic control structure has a level of complexity. The metrics for formulating existing complexity are very diverse, but can only define complexity partially and are less sensitive to small changes in the structure of the business process model. In this paper, we propose a formula of complexity metric that can indicate small changes in structure, type of branching logic, number of branches, loops, and depth. We call it the Yaqin complexity formula. To get the Yaqin complexity formula, we carried out several activities. These activities are identifying the metrics involved using the Goal-Question-Metric (GQM) method, then formulating the metric complexity, the next activity is testing the formula with several business process models and analyzing the test results, and then validating the Yaqin complexity formula using the Weyuker's properties framework. The Yaqin complexity formula, which involves seven parameters, is proven to be more comprehensive than other complexity formulas that involve less than seven parameters. The Yaqin complexity formula also proved to be more sensitive to other complexity formulas, where 7 out of 8 cases affected the Yaqin complexity metric. The validation results state that the Yaqin complexity formula meets 8 of 9 Weyuker's properties. Thus we have succeeded in formulating the Yaqin complexity, which is more comprehensive in involving parameters and more sensitive in detecting small changes in the structure of the business process model.

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Krause, J., M. Cornelius, P. Goldsmith, M. Mzungu, C. Kambani-Banda, and C. Tamimie. "Soy dairy performance metrics." African Journal of Food, Agriculture, Nutrition and Development 21, no. 105 (December 24, 2021): 19016–39. http://dx.doi.org/10.18697/ajfand.105.21245.

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Soybean (Glycine max (L. Merr.) has been a crop of interest to address both poverty and malnutrition in the developing world because of its high levels of both protein and oil, and its adaptability to grow in tropical environments. Development practitioners and policymakers have long sought value added opportunities for local crops to move communities out of poverty by introducing processing or manufacturing technologies. Soy dairy production technologies sit within this development conceptual model. To the researchers’ knowledge, no research to date measures soy dairy performance, though donors and NGOs have launched hundreds of enterprises over the last 18 years. The lack of firm-level data on operations limits the ability of donors and practitioners to fund and site sustainable dairy businesses. Therefore, the research team developed and implemented a recordkeeping system and training program first, as a 14-month beta test with a network of five dairies in Ghana and Mozambique in 2016-2017. Learning from the initial research then supported a formal research rollout over 18 months with a network of six different dairies in Malawi and key collaboration from USAID’s Agricultural Diversification activity. None of the beta or rollout dairies kept records prior to the intervention. The formal rollout resulted in a unique primary dataset to address the soy dairy performance knowledge gap. The results of analysis show that the dairies, on average, achieve positive operating margins of 61%, yet cannot cover the fixed costs associated with depreciation, amortization of equipment and infrastructure, working capital, marketing and promotion, and regulatory compliance. The enterprises in our sample operate only at 9% of capacity, which limits their ability to cover the normal fixed costs associated with the business. The challenge is not the technology itself, as when operated, it produces a high-quality dairy product. The challenges involve a business that requires too much capital for normal operations relative to a nascent and small addressable market.

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Zheng, Mengze, Islam Zada, Sara Shahzad, Javed Iqbal, Muhammad Shafiq, Muhammad Zeeshan, and Amjad Ali. "Key Performance Indicators for the Integration of the Service-Oriented Architecture and Scrum Process Model for IOT." Scientific Programming 2021 (February 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/6613579.

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An important aspect in any business process lifecycle is management of the performance, where performance requirements on business processes are specified as Key Performance Indicators (KPIs) with target values which are to be achieved in a certain analysis period. A KPI is a business metric used to measure and evaluate the individual capability, maturity, complexity, and agility of a business process in the development environment. This study designed four general KPIs for the integration of SOA and scrum to bring further advancement in these approaches for IIoT. The study also identified some common metrics which will give help to software developers and, especially, to those who want to apply SOA and scrum integration. These metrics will play a critical role of bridging the strategy and concepts of improvements with operational activities. The identified KPIs will help to measure the business agility, quality and value, team efficiency, and complexity of scrum- and SOA based projects. Software development organizations can also practice these KPIs to know where to focus their resources to deliver the ultimate business profit. So, software business organizations could better align their business projects and IT investments with the rapid market change and deliveries.

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Collins, Terry R., Manuel D. Rossetti, Heather L. Nachtmann, and James R. Oldham. "The use of multi‐attribute utility theory to determine the overall best‐in‐class performer in a benchmarking study." Benchmarking: An International Journal 13, no. 4 (July 1, 2006): 431–46. http://dx.doi.org/10.1108/14635770610676281.

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PurposeTo investigate the application of multi‐attribute utility theory (MAUT) to aid in the decision‐making process when performing benchmarking gap analysis.Design/methodology/approachMAUT is selected to identify the overall best‐in‐class (BIC) performer for performance metrics involving inventory record accuracy within a public sector warehouse. A traditional benchmarking analysis is conducted on 14 industry warehouse participants to determine industry best practices for the four critical warehouse metrics of picking and inventory accuracy, storage speed, and order cycle time. Inventory and picking tolerances are also investigated in the study. A gap analysis is performed on the critical metrics and the absolute BIC is used to measure performance gaps for each metric. The gap analysis results are then compared to the MAUT utility values, and a sensitivity analysis is performed to compare the two methods.FindingsThe results indicate that an approach based on MAUT is advantageous in its ability to consider all critical metrics in a benchmarking study. The MAUT approach allows the assignment of priorities and analyzes the subjectivity for these decisions, and provides a framework to identify one performer as best across all critical metrics.Research limitations/implicationsThis research study uses the additive utility theory (AUT) which is only one of multiple decision theory techniques.Practical implicationsA new approach to determine the best performer in a benchmarking study.Originality/valueTraditional benchmarking studies use gap analysis to identify a BIC performer over a single critical metric. This research integrates a mathematically driven decision analysis technique to determine the overall best performer over multiple critical metrics.

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Himanshu, Jatinder P. Singh, and Ashwani Kumar. "Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics." Vision: The Journal of Business Perspective 24, no. 3 (June 12, 2020): 330–44. http://dx.doi.org/10.1177/0972262920925600.

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Despite the widespread use of financial reporting quality (FRQ) metrics, the literature provides little evidence regarding the prominence and causal relationships among them. The article provides empirical evidence on prioritizing FRQ metrics and examining the causal relationships among them. Through extensive literature review and expert inputs, 12 FRQ metrics were finalized and analysed using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. India, a developing country, was selected for empirical study. Empirical results indicate that opinion in auditors’ report is the most prominent metric to examine FRQ, followed by value relevance in the context of fair value accounting. A formal scientific categorization of the metrics into cause and effect groups has also been attempted. The causal relationships among FRQ metrics and their relative prominence would help in interpreting empirical studies, which employ these metrics. The study suggests that the stakeholders can focus on prominent FRQ metrics to examine FRQ of the reporting entity before taking their decisions.

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Fayyaz, Zeshan, Mahsa Ebrahimian, Dina Nawara, Ahmed Ibrahim, and Rasha Kashef. "Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities." Applied Sciences 10, no. 21 (November 2, 2020): 7748. http://dx.doi.org/10.3390/app10217748.

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Recommender systems are widely used to provide users with recommendations based on their preferences. With the ever-growing volume of information online, recommender systems have been a useful tool to overcome information overload. The utilization of recommender systems cannot be overstated, given its potential influence to ameliorate many over-choice challenges. There are many types of recommendation systems with different methodologies and concepts. Various applications have adopted recommendation systems, including e-commerce, healthcare, transportation, agriculture, and media. This paper provides the current landscape of recommender systems research and identifies directions in the field in various applications. This article provides an overview of the current state of the art in recommendation systems, their types, challenges, limitations, and business adoptions. To assess the quality of a recommendation system, qualitative evaluation metrics are discussed in the paper.

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Thomas, Howard. "Business school strategy and the metrics for success." Journal of Management Development 26, no. 1 (January 9, 2007): 33–42. http://dx.doi.org/10.1108/02621710710720068.

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Omair, Badr, and Ahmad Alturki. "Taxonomy of Fraud Detection Metrics for Business Processes." IEEE Access 8 (2020): 71364–77. http://dx.doi.org/10.1109/access.2020.2987337.

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Dijkman, Remco, Marlon Dumas, Boudewijn van Dongen, Reina Käärik, and Jan Mendling. "Similarity of business process models: Metrics and evaluation." Information Systems 36, no. 2 (April 2011): 498–516. http://dx.doi.org/10.1016/j.is.2010.09.006.

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MENZIES, TIM. "Critical success metrics: evaluation at the business level." International Journal of Human-Computer Studies 51, no. 4 (October 1999): 783–99. http://dx.doi.org/10.1006/ijhc.1999.0329.

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Tosic, Vladimir. "Autonomic Business-Driven Dynamic Adaptation of Service-Oriented Systems and the WSPolicy4MASC Support for Such Adaptation." International Journal of Systems and Service-Oriented Engineering 1, no. 1 (January 2010): 79–95. http://dx.doi.org/10.4018/jssoe.2010092105.

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When a need for dynamic adaptation of an information technology (IT) system arises, often several alternative approaches can be taken. Maximization of technical quality of service (QoS) metrics (e.g., throughput, availability) need not maximize business value metrics (e.g., profit, customer satisfaction). The goal of autonomic business-driven IT system management (BDIM) is to ensure that operation and adaptation of IT systems maximizes business value metrics, with minimal human intervention. The author presents how his WS-Policy4MASC language for specification of management policies for service-oriented systems supports autonomic BDIM. WS-Policy4MASC extends WS-Policy with new types of policy assertions: goal, action, probability, utility, and meta-policy assertions. Its main distinctive characteristics are description of diverse business value metrics and specification of policy conflict resolution strategies for business value maximization according to various business strategies. The author’s decision making algorithms use this additional WS-Policy4MASC information to choose the adaptation approach best from the business viewpoint.

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Sullivan, John L. "Sustainability metrics for vehicles." Pure and Applied Chemistry 73, no. 8 (August 1, 2001): 1273–76. http://dx.doi.org/10.1351/pac200173081273.

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The public has growing concerns about the effects of human activity on the environment for both themselves and future generations. The concept being developed to address these environmental concerns, along with economic and social-equity considerations, is called "sustainable development". The business community has already started to address their contribution to environmental issues through collaborative efforts under organizations such as the World Business Council for Sustainable Development. That work has focused primarily on industrial and corporate environmental and economic performance through the development of eco-efficiency metrics, which are a measure of resources and materials consumed per unit output of product, sales, or value-added. While this development is important, it is not enough. Clearly, the environmental performance of the entire product system must also be elucidated. Otherwise, one might forget, for example, the power plant emissions of his or her so-called "zero-emission" vehicle. The metrics required to characterize sustainable practices and systems have yet to be developed. The set will include economic, environmental, and social-equity metrics. Because of their system-oriented environmental performance representation, life-cycle assessment metrics are certainly going to be included in such a set. A discussion of some potential life-cycle metrics follows.

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Lambert, Douglas M., and Terrance L. Pohlen. "Supply Chain Metrics." International Journal of Logistics Management 12, no. 1 (January 1, 2001): 1–19. http://dx.doi.org/10.1108/09574090110806190.

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Most discussions and articles about supply chain metrics are, in actuality, about internal logistics performance measures. The lack of a widely accepted definition for supply chain management and the complexity associated with overlapping supply chains make the development of supply chain metrics difficult. Despite these problems, managers continue to pursue supply chain metrics as a means to increase their “line of sight” over areas they do not directly control, but have a direct impact on their company's performance. We provide a framework for developing supply chain metrics that translates performance into shareholder value. The framework focuses on managing the interfacing customer relationship management and supplier relationship management processes at each link in the supply chain. The translation of process improvements into supplier and customer profitability provides a method for developing metrics that identify opportunities for improved profitability and align objectives across all of the firms in the supply chain.

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Pencarelli, Tonino, and Maria Gabriella Mele. "A systematic literature review on social media metrics." MERCATI & COMPETITIVITÀ, no. 1 (April 2019): 15–38. http://dx.doi.org/10.3280/mc1-2019oa7624.

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When conducting activities on social media (SM), with strategies related to business aims, it is necessary to monitor the activity over time in order to improve the actions taken. This paper aims to provide a theoretical proposal of measurement framework, based on those analyzed through a literature review. The paper also proposes a classification of the SM performance control metrics, from which emerge five different categories of metrics: business activity, brand sharing, dimensional, engagement and business performance metrics. The research highlights: 1) the agreement among experts regarding the need to constantly measure the activity of SM marketing; 2) the need to have a measurement framework to base the control of the strategy; 3) the need to systematize measurement metrics.

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Dobrowolski, Zbysław, Grzegorz Drozdowski, Mirela Panait, and Arkadiusz Babczuk. "Can the Economic Value Added Be Used as the Universal Financial Metric?" Sustainability 14, no. 5 (March 3, 2022): 2967. http://dx.doi.org/10.3390/su14052967.

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Previous research into Economic Value Added (EVA) has extensively described it as a business metric of firms. Still, no studies have confirmed or denied that EVA is a universal metric and that one may use EVA in unstable markets in the same way as in stable and developed economies. Meanwhile, the green energy revolution, ensuring carbon neutrality through green innovations, requires enormous investments, and the projects realised must be appropriately tailored. These projects are realised by different firms, including those from developing countries, and investors need solid financial metrics. The study determines whether EVA is a universal metric of owners’ value in the energy sector. The research proves that this metric does not correctly reflect the limitations of emerging markets, can lead to incorrect managerial decisions and limit shareholders’ value. Therefore, there is a need to reanalyse financial metrics used in financial planning, including EVA. The study eliminates this research gap and, based on data from seven countries and the Euro Zone, explains why one may not perceive the currently used EVA formula as a universal financial metric. Consequently, the study modifies the EVA formula and presents a universal solution tailored to unstable economies. In the conducted research, literature studies were used, taking into account the methodology of a systematic literature review, including bibliometric analysis. Based on this review, it is shown that little is known about whether EVA as a financial measure can be used in energy management. Two conclusions emerged: first, the research contributes to developing the business and management science; second, identifying risks associated with EVA metrics helps practitioners. In addition, the study defined further research directions.

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Mena-Maldonado, Elisa, Rocío Cañamares, Pablo Castells, Yongli Ren, and Mark Sanderson. "Popularity Bias in False-positive Metrics for Recommender Systems Evaluation." ACM Transactions on Information Systems 39, no. 3 (May 22, 2021): 1–43. http://dx.doi.org/10.1145/3452740.

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We investigate the impact of popularity bias in false-positive metrics in the offline evaluation of recommender systems. Unlike their true-positive complements, false-positive metrics reward systems that minimize recommendations disliked by users. Our analysis is, to the best of our knowledge, the first to show that false-positive metrics tend to penalise popular items, the opposite behavior of true-positive metrics—causing a disagreement trend between both types of metrics in the presence of popularity biases. We present a theoretical analysis of the metrics that identifies the reason that the metrics disagree and determines rare situations where the metrics might agree—the key to the situation lies in the relationship between popularity and relevance distributions, in terms of their agreement and steepness —two fundamental concepts we formalize. We then examine three well-known datasets using multiple popular true- and false-positive metrics on 16 recommendation algorithms. Specific datasets are chosen to allow us to estimate both biased and unbiased metric values. The results of the empirical study confirm and illustrate our analytical findings. With the conditions of the disagreement of the two types of metrics established, we then determine under which circumstances true-positive or false-positive metrics should be used by researchers of offline evaluation in recommender systems. 1

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CHERIYAN, JO, and G. P. SAJEEV. "m-PageRank: A NOVEL CENTRALITY MEASURE FOR MULTILAYER NETWORKS." Advances in Complex Systems 23, no. 05 (August 2020): 2050012. http://dx.doi.org/10.1142/s0219525920500125.

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A complex network is an explicit model for a real-world system such as technological networks, social networks, business networks, and biological networks. The social network is an Internet-based media for socially relevant activities like stay connected with families and friends, colleagues, and customers, for socializing, business, or both. The key nodes, usually called central nodes, capable of measuring the performance of various social network applications. Identifying influencing nodes is primary research for any network analysis research. Degree centrality, a locally computed metric, is simple to compute but not persuasive. The global metrics like betweenness centrality and PageRank are only useful for the systems with a simple structure, but incur a high computational cost with the addition of layers. This paper proposes a novel metric m-PageRank for ranking nodes in a multi-layer complex network. The m-PageRank is an advancement of PageRank. It integrates the existence of the rank of each layer from where the connection connects. The proposed metric was validated through simulations performed over various multilayer networks. The result shows that m-PageRank computes the rank of each node accurately. We observe that the comparison with state-of-the-art metrics demonstrated the suitability of the proposed metric.

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Strutynska, I. "Metrics of digital business transformation: world and national realities." Galic'kij ekonomičnij visnik 61, no. 6 (2019): 30–45. http://dx.doi.org/10.33108/galicianvisnyk_tntu2019.06.030.

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ShettyS, Vijaya, and H. Sarojadevi. "e-Business Performance Issues, Quality Metrics and Development Frameworks." International Journal of Computer Applications 55, no. 7 (October 20, 2012): 42–47. http://dx.doi.org/10.5120/8769-2694.

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Hahn, Axel, Stephan Grosse Austing, and Jan Strickmann. "Ontology based metrics – applying business intelligence on PLM." International Journal of Product Lifecycle Management 3, no. 4 (2008): 308. http://dx.doi.org/10.1504/ijplm.2008.027008.

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Munoz, Tim, and Shailendra Kumar. "Brand metrics: Gauging and linking brands with business performance." Journal of Brand Management 11, no. 5 (May 2004): 381–87. http://dx.doi.org/10.1057/palgrave.bm.2540183.

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Islam, Gazi, and Michelle Greenwood. "The Metrics of Ethics and the Ethics of Metrics." Journal of Business Ethics 175, no. 1 (November 25, 2021): 1–5. http://dx.doi.org/10.1007/s10551-021-05004-x.

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Singh, Rajwinder, H. S. Sandhu, B. A. Metri, and Rajinder Kaur. "Understanding Organized Retail Supply Chain Performance Indicators for Business Growth." International Journal of Knowledge-Based Organizations 4, no. 2 (April 2014): 64–76. http://dx.doi.org/10.4018/ijkbo.2014040105.

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The socio-economic developments in India have pushed the demand for fresh farm products at the doorsteps. This is good for organized non-livestock retailing (NLR) which is retailing of agriculture and horticulture products. Expecting the better return, many national and international retailers are in the arena. The intense market competition has changed the scenario to supply chain vs. supply chain competition. This has prompted to understand key performance indicators (KPI) for this industry. In this research, the KPI are classified using factor analysis (FA) as: inventory metrics, customer metrics, flexibility metrics, and growth and learning metrics. Structural Equation Modelling (SEM) approach has been applied to test the hypothesis. The results support the hypothesis; (1) firms with more focus on inventory need more focus on flexibility; (2) firms with more focus on flexibility shall have higher level of growth and learning; and (3) firms with more focus on inventory shall have higher level of growth and learning. The primary data was collected from top 10 organized NLR players operating in Punjab, Chandigarh, New Delhi, and Gurgaon in India. Finally, 401 questionnaires were received. The results were tested and validated by rigorous statistical analysis.

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Church, Jim. "Problematic Global Metrics." DttP: Documents to the People 48, no. 4 (December 4, 2020): 9. http://dx.doi.org/10.5860/dttp.v48i4.7476.

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An added benefit of doing library instruction is you learn things from students and faculty. This knowledge informs both collection development and research consultations. It is especially interesting when a new faculty member arrives and issues a revised syllabus for a popular course. One such class at UC Berkeley is in the Global Poverty and Practice (GPP) minor, founded by Professor Ananya Roy ten years ago. Her book, Poverty Capital: Microfinance and the Making of Development, makes the uncomfortable point that people and institutions profit from poverty: it is a lucrative business. But there are also those who attempt to create and influence “poverty knowledge.” The 1998 subtitle of the World Bank’s flagship publication, the World Development Report, was “Knowledge for Development.” In 2017 the World Bank wrote a feature news article (about itself) as a “knowledge institution.” There are articles that trace the history of the World Bank’s vision of itself as a “knowledge bank,” a term I find both amusing (do they charge “interest”?) and problematic. Yet a library is also a knowledge institution, and what we purchase or recommend influences the thinking and research of students and scholars.

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Seagraves, Theresa L. "Communicating HR’s value." Strategic HR Review 6, no. 2 (January 1, 2007): 7. http://dx.doi.org/10.1108/14754390780000946.

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Using metrics to communicate HR’s value to an organization is critical to the perception of HR as a valuable resource. What many HR professionals miss is that how those metrics are used in making a business case is just as important as having metrics themselves.

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Retegui, Lorena Marisol. "Metrics at Work: a case study about the tensions in the journalistic industry." Estudios sobre el Mensaje Periodístico 27, no. 4 (September 29, 2021): 1205–14. http://dx.doi.org/10.5209/esmp.71296.

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This article aims to present a debate over the increasingly complex and widespread use of measurement indicators and performance of digital content in the journalistic industry, considering the case study of La Nación, one of the leading news institutions in Argentina. The paper reconstructs the introduction and architecture of metrics measurement in the newsroom of La Nación, and the journalists’ perceptions and experiences regarding these organizational changes. The focus will be on the adoption of the Score, an algorithmic metric developed in-house at La Nación, designed with journalistic input and eventually modified to include economic factors. The findings confirming the tensions between professional and commercial logics produced by adopting digital metrics in the newsroom; and suggesting that journalists experiences metrics as strong disciplining influence. All this is involved in an uncertain context implicating the financing of Argentinean digital media along with the decline in the traditional journalistic business model.

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Moskovitz, Elad, and Adir Even. "The Impact of a BI-Supported Performance Measurement System on a Public Police Force." International Journal of Business Intelligence Research 5, no. 1 (January 2014): 13–30. http://dx.doi.org/10.4018/ijbir.2014010102.

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Performance measurement, as an effective tool for implementing organizational strategy and assisting ongoing control and surveillance, is broadly adopted today. The performance measurement system (PMS) explored in this case study was implemented, using business intelligence (BI) technologies, for a public police force. The system lets police commanders view and analyze the performance scores of their own units and get feedback on the success of their activities. The study examines the system's impact, through analysis of the metric results over a time period of five years. The results show that the vast majority of the metrics examined indeed improved. Further, the results underscore the moderation effect of relative metrics weights, as well as the different behavior of metrics that reflect activity versus those that reflect outcomes. The study underscores both the positive and the negative aspects of those results, and discusses their implications for future PMS implementation with BI technologies.

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Yevseiev, Serhii, Oleksandr Milov, Ivan Opirskyy, Olha Dunaievska, Oleksandr Huk, Volodymyr Pogorelov, Kyrylo Bondarenko, Nataliia Zviertseva, Yevgen Melenti, and Bogdan Tomashevsky. "Development of a concept for cybersecurity metrics classification." Eastern-European Journal of Enterprise Technologies 4, no. 4 (118) (August 31, 2022): 6–18. http://dx.doi.org/10.15587/1729-4061.2022.263416.

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The development of the IT industry and computing resources allows the formation of cyberphysical social systems (CPSS), which are the integration of wireless mobile and Internet technologies and the combination of the Internet of things with the technologies of cyberphysical systems. To build protection systems, while minimizing both computing and economic costs, various sets of security profiles are used, ensuring the continuity of critical business processes. To assess/compare the level of CPSS security, various assessment methods based on a set of metrics are generally used. Security metrics are tools for providing up-to-date information about the state of the security level, cost characteristics/parameters from both the defense and attack sides. However, the choice of such sets is not always the same/understandable to the average person. This, firstly, leads to the absence of a generally accepted and unambiguous definition, which means that one system is more secure than another. Secondly, it does not take into account the signs of synergy and hybridity of modern targeted attacks. Without this knowledge, it is impossible to show that the metric measures the security level objectively. Thirdly, there is no universal formal model for all metrics that could be used for rigorous analysis. The paper explores the possibility of defining a basic formal model (classifier) for analyzing security metrics. The proposed security assessment model takes into account not only the level of secrecy of information resources, the level of provision of security services, but also allows, based on the requirements put forward, forming the necessary set of security assessment metrics, taking into account the requirements for the continuity of business processes. The average value of the provision of security services to CPSS information resources is 0.99, with an average value of the security level of information resources of 0.8

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Kumar Dahal, Rewan. "Effectiveness of learning and growth performance metrics in the Nepalese telecommunications industry for organizational success." Problems and Perspectives in Management 20, no. 4 (November 23, 2022): 238–49. http://dx.doi.org/10.21511/ppm.20(4).2022.18.

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The primary use of financial-based performance metrics to assess an organization’s success might be misleading. The application of non-financial performance metrics could improve organizational success and longevity. This study aimed to examine the effectiveness of learning and growth performance metrics for organizational success in the Nepalese telecommunication industry. The quantitative research approach was utilized for collecting, presenting, and analyzing data obtained during a survey. The two major telecommunications service providers in Nepal, Ncell and Nepal Telecom, were taken as sample organizations, and their employees were the study’s respondents. The study revealed that two latent learning and growth performance metrics, namely ‘organizational culture and alignment’ having seven observable variables (β = 0.229, t = 3.419, p &lt; .05) and ‘information capital’ having four observable variables (β = 0.079, t = 1.193, p &lt; .05) were significant for organizational success. In contrast, one latent metric, ‘human resources’ having seven observable variables (β = 0.047, t = 0.708,&nbsp;p &gt; .05), was insignificant. The overall explanation of the observed non-financial performance metrics to the organizational success of the Nepalese telecommunication industry was approximately 6%. A better learning and growth environment helps an organization generate, acquire, share, and integrate information to build resources and capabilities. In addition, non-financial performance metrics help organizations connect business performance with strategy, allowing them to be competitive.

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Journal articles on the topic 'Business metrics'

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