Flexibility: It’s alot easier to tweak the model and try things (from a planning perspective) with something that’s sitting on a single page.Focus: Stripping away the 40+ pages of ‘stuff’ in a traditional business plan, I’ve seen users of the BMC improve their clarify and focus on what’s driving the business (and what’s non-core and getting in the way).
Fundamentally, I find it delivers three things: The Canvas is popular with entrepreneurs and intrapreneurs for business model innovation. Cost Structure: What are the business’ major cost drivers? How are they linked to revenue?.Key Partnerships: What can the company not do so it can focus on its Key Activities?.Key Resources: What unique strategic assets must the business have to compete?.Key Activities: What uniquely strategic things does the business do to deliver its proposition?.Revenue Streams: How does the business earn revenue from the value propositions?.Customer Relationships: How do you interact with the customer through their ‘journey’?.Channels: How are these propositions promoted, sold and delivered? Why? Is it working?.Value Propositions: What’s compelling about the proposition? Why do customers buy, use?.Customer Segments: Who are the customers? What do they think? See? Feel? Do?.journal self-citations removed) received by a journal's published documents during the three previous years.Įxternal citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.Together these elements provide a pretty coherent view of a business’ key drivers– Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.Įvolution of the number of total citation per document and external citation per document (i.e. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.Įvolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. Management Science and Operations Research
Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.īusiness, Management and Accounting (miscellaneous) The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models. The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production.