Sustainable Development Goals

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Mindset The New Psychology Of Success

Ever since the Internet boom of the mid-1990s, firms have been experimenting with new ways of doing business and achieving their goals, which has led to a branching of the scholarly literature on business models. Three interpretations of the meaning and function of “business models” have emerged from the management literature: (1) business models as attributes of real firms, (2) business models as cognitive/linguistic schemas, and (3) business models as formal conceptual representations of how a business functions. Relatedly, a provocative debate about the relationship between business models and strategy has fascinated many scholars. We offer a critical review of this now vast business model literature with the goal of organizing the literature and achieving greater understanding of the larger picture in this increasingly important research area. In addition to complementing and extending prior reviews, we also aim at a second and more important contribution: We aim at identifying the reasons behind the apparent lack of agreement in the interpretation of business models, and the relationship between business models and strategy. Whether strategy scholars consider business model research a new field may be due to the fact that the business model perspective may be challenging the assumptions of traditional theories of value creation and capture by focusing on value creation on the demand side and supply side, rather than focusing on value creation on the supply side only as these theories have done. We conclude by discussing how the business model perspective can contribute to research in different fields, offering future research directions.

A Critical Assessment of Business Model Research

The original edition of this book summarized more than a decade of work on communications flow in science and engineering organizations, showing how human and organizational systems could be restructured to bring about improved productivity and better person-to-person contact. While many studies have been done since then, few of them invalidate the general conclusions and recommendations Allen offers. In a new preface he points out new developments, noting areas that need some modification, elaboration, or extension, and directing readers to the appropriate journal articles where the findings, are reported. The first three chapters provide an overview of the communication system in technology, present the author's research methods, and describe differences in the career paths and goals of engineers and scientists that cause special problems for organizations. The book then discusses how technological information is acquired by the R & D organization, shows how critical technical communication within the laboratory is for R & D performance, and originates the idea of the \"gatekeeper,\" the person who links his or her organization to the world at large. Concluding chapters take up the influence of formal and informal organization and of architecture and office layouts on communication. Many of these ideas have been successfully incorporated by architects and managers in the design of new R & D facilities and complexes. Suggested Citation Handle: RePEc:mtp:titles:0262510278 Download reference as HTML Thomas J. Allen, 1984. \"Managing the Flow of Technology: Technology Transfer and the Dissemination of Technological Information Within the R&D Organization,\" MIT Press Books, The MIT Press, edition 1, volume 1, number 0262510278, November. More services and features MyIDEAS Follow serials, authors, keywords & more New papers by email Subscribe to new additions to RePEc Author registration Public profiles for Economics researchers MPRA Upload your paper to be listed on RePEc and IDEAS EconAcademics Blog aggregator for economics research Plagiarism Cases of plagiarism in Economics Rankings Various rankings of research in Economics & related fields RePEc Genealogy Who was a student of whom, using RePEc RePEc Biblio Curated articles & papers on various economics topics Job market papers RePEc working paper series dedicated to the job market Fantasy league Pretend you are at the helm of an economics department Services from the StL Fed Data, research, apps & more from the St. Louis Fed IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.

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Managing the Flow of Technology: Technology Transfer and the Dissemination of Technological Information Within the R&D Organization (Book Review)

This review addresses the applicability of visible (Vis), near-infrared (NIR), and mid-infrared (MIR) reflectance spectroscopy for the prediction of soil properties. We address (1) the properties that can be predicted and the accuracy of the predictions, (2) the most suitable spectral regions for specific soil properties, (3) the number of predictions reported for each property, and (4) in-field versus laboratory spectral techniques.We found the following properties to be successfully predicted: soil water content, texture, soil carbon (C), cation exchange capacity, calcium and magnesium (exchangeable), total nitrogen (N), pH, concentration of metals/metalloids, microbial size, and activity. Generally, MIR produced better predictions than Vis-NIR, but Vis-NIR outperformed MIR for a number of properties (e.g., biological). An advantage of Vis-NIR is instrument portability although a new range of MIR portable devices is becoming available. In-field predictions for clay, water, total organic C, extra...

The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties

Review: Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils

Introduction - By Clay Christenson Section I Chapter 1: Identifying jobs to be done Chapter 2: Identifying Overshot Customers Chapter 3: Identifying nonconsumers Section II Chapter 4: Developing Solutions Chapter 5: Assessing a strategy's fit with a pattern Chapter 6: Mastering emergent strategies Section III Chapter 7: Assembling and managing project teams Chapter 8: Organizing to Innovate Chapter 9: The Role of the CEO Chapter 10: Growth through Acquisition Chapter 11: Innovation Metrics Summary: Innovation Traps

The Innovator's Guide to Growth: Putting Disruptive Innovation to Work

Each of these paths usually involves devoting considerable time and resources to developing a corresponding organizational competency. For example, to build product capability, companies typically invest in in-house research and development departments and/or technology-sourcing expertise. Establishing customer insight capability often requires creating in-house market research units and implementing robust feedback links between the sales force and the developers of product or service lines. And creating a strategy capability generally involves setting up dedicated corporate strategy units and merger and acquisition groups or engaging consultants.

/pdf/how-to-identify-new-business-models-1fvcsfh9i3.pdf

How to Identify New Business Models

The objective of this paper is to propose an analysis framework based on the System of Systems approach to overcome existing methodological problems in System of Innovation studies. The concept of System of Innovation has been an important focus of innovation policy studies over the last decade. These studies have concentrated on structuring theoretical frameworks to assess the determinants of innovation processes using systems analysis principles. Despite about 20 years of research, System of Innovation has yet to become a theoretical framework. This paper reviews the relevant literature in an attempt to identify the challenges that System of Innovation studies face in structuring theoretical frameworks. The primary reason for the challenges appears to be that Systems of Innovation have been analyzed as monolithic systems when, in reality, Systems of Innovation are Systems of Systems, which have different features than monolithic systems. Different dimensions of assessment of System of Systems analysis are therefore required in System of Innovation studies. Three dimensions of System of Innovation analysis (definition, abstraction, and modeling) are introduced here to provide an analysis framework for Systems of Innovation studies. The proposed system-of-systems-based analysis framework (called Innovation System of Systems) would resolve the methodological challenges that System of Innovation studies are confronting in developing theoretical frameworks. Thus, it is capable of being tested by other researchers in the area of Systems of Innovation to advance the state of knowledge.

Exploring the Dimensions of Systems of Innovation Analysis: A System of Systems Framework

System, method, and apparatus for determining the composition of a sample of material. In one embodiment, the method pertains to the counting of photons that were inelastically scattered by the sample, and for minimizing the effects of fluorescent or phosphorescent photons. In yet another embodiment of the invention, a sample is illuminated by a repetitive pulse of monochromatic light, and the resultant scattered photons from the samples are collected and counted during a predetermined integration period. Yet other embodiments pertain to a low-cost, computer-controlled system for repetitively counting inelastically scattered photons so as to create a Raman histogram and a Raman spectrogram of the photons.

Joseph V. Sinfield

Papers

Review: Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils

The Innovator's Guide to Growth: Putting Disruptive Innovation to Work

How to Identify New Business Models

Exploring the Dimensions of Systems of Innovation Analysis: A System of Systems Framework

Time resolved raman spectroscopy