Tabla de Contenidos: “…. -- 2.2 Damage to Paddy Fields in the Shimojin District Caused by the 2016 Kumamoto Earthquakes -- 3 Consensus Building Process in the Damaged Paddy Restoration in the Shimojin District: Why Did We Aim for High-Value Rice? -- 4 Shimojin Branding Rice in Practice -- 4.1 Design of an Eco-Friendly Agricultural Channel -- 5 Eco-friendly Farming Method Suitable for the Region -- 5.1 Result and Discussion -- References -- Correction to: Decision Science for Future Earth: A Conceptual Framework…”

Tabla de Contenidos: “…8.8.6 Recommendations on IoT Adoption and the Sustainability of IoT Pilots -- 8.8.7 Collaboration, Outreach, and Dissemination -- 8.8.8 A Systemic and Cybernetic Approach for End-User Engagement -- 8.8.9 Discussion -- References -- Chapter 9 - A Smart Tags Driven Service Platform for Enabling Ecosystems of Connected Objects -- 9.1 Introduction -- 9.2 Use Cases -- 9.2.1 Digital Product, Digital Beer -- 9.2.2 Lifecycle Management -- 9.2.3 Brand Protection -- 9.2.4 Dynamic Pricing -- 9.2.5 Home Services -- 9.3 Architecture -- 9.4 Pilots and Trials -- 9.4.1 SmartTag Creation -- 9.4.1.1 SmartTag Encoding -- 9.4.1.2 Printing SmartTags -- 9.4.2 SmartTag Scanning -- 9.4.2.1 FC-Scanner Authentication -- 9.4.2.2 Decoding SmartTags -- 9.4.3 Service Offerings Leveraging the TagItSmart Platform -- 9.4.4 User Experience on Use Cases -- 9.5 Conclusion -- Acknowledgements -- References -- Index…”

Tabla de Contenidos: “…-- 7.2 Framing and the reference point for decisions -- 7.3 Caring about the pay-offs to others -- 7.4 Government policy to influence behaviour -- Box 7.1 Choice overload -- Box 7.2 The endowment effect -- Box 7.3 The best made plans -- Box 7.4 A simple experiment to test for social preferences -- Summary -- Review questions -- 8 Firms and the consumer -- 8.1 Estimating demand functions -- 8.2 Forecasting demand -- 8.3 Product differentiation -- 8.4 Marketing the product -- 8.5 Advertising -- Box 8.1 The battle of the brands -- Box 8.2 Different types of online advertising -- Summary -- Review questions -- Additional Part C case studies on the Economics for Business student website -- Websites relevant to Part C -- Part D BACKGROUND TO SUPPLY -- 9 Costs of production -- 9.1 The meaning of costs -- 9.2 Production in the short run -- 9.3 Costs in the short run -- 9.4 Production in the long run -- 9.5 Costs in the long run…”

Tabla de Contenidos: “…La gran confusión -- 9. Brand Thinking -- 1. Sobre las marcas -- 2. Sobre la influencia -- 3. …”

Tabla de Contenidos: “…-- 11.2 Seven Tips to Convince an Investor -- 11.2.1 Assess Your Needs before Going into a Negotiation -- 11.2.2 Never Lie -- 11.2.3 Be Authentic and Know How to Listen -- 11.2.4 Know When to Walk Away -- 11.2.5 Stay Focused -- 11.2.6 Be Resilient -- 11.2.7 Find a Lead -- 11.3 Some Key Issues that Will Require Negotiations -- 11.3.1 The Challenge of Valuing Your Business -- 11.3.2 The Issue of Control -- 11.3.3 Founders' Obligations after an Investment -- 11.4 Closing Words -- 12 Eight Classic Mistakes Life Science Entrepreneurs Make -- 12.1 They Underestimate (or Overestimate) Their Pitch Deck -- 12.2 They Believe that Narrative Is Not Everything -- 12.3 They Believe There Is No Competition to Their Innovation -- 12.4 They Raise Funds Only When They Need Them -- 12.5 They Underestimate (or Overestimate) the Protection and Value of Intellectual Property (IP) -- 12.6 They Overestimate the Value of Their PhD or Business Experience -- 12.7 They Neglect Cash Flow Management -- 12.8 They Neglect Their Brand -- 12.9 Key Learnings on Key Takeaways -- 13 How the World Changed Following COVID-19 -- 13.1 How Has the Discovery Stage Shifted? …”

Tabla de Contenidos: “…9.1.3 Why Testing Assumptions Can Be Unsatisfactory -- 9.1.4 Interpreting Student's T When It Rejects -- 9.1.5 Dealing with Unequal Variances: Welch's Test -- 9.1.6 R Function t.test -- 9.1.7 Student's T versus Welch's Test -- 9.1.8 The Impact of Outliers When Comparing Means -- 9.2 Comparing Medians -- 9.2.1 A Method Based on the McKean-Schrader Estimator -- 9.2.2 A Percentile Bootstrap Method -- 9.2.3 R Functions msmed, medpb2, split, and fac2list -- 9.2.4 An Important Issue: The Choice of Method can Matter -- 9.3 Comparing Trimmed Means -- 9.3.1 R Functions yuen, yuenbt, and trimpb2 -- 9.3.2 Skipped Measures of Location and Deleting Outliers -- 9.3.3 R Function pb2gen -- 9.4 Tukey's Three-Decision Rule -- 9.5 Comparing Variances -- 9.5.1 R Function comvar2 -- 9.6 Rank-Based (Nonparametric) Methods -- 9.6.1 Wilcoxon-Mann-Whitney Test -- 9.6.2 R Function wmw -- 9.6.3 Handling Heteroscedasticity -- 9.6.4 R Functions cid and cidv2 -- 9.7 Measuring Effect Size -- 9.7.1 Cohen's d -- 9.7.2 Concerns about Cohen's d and How They Might Be Addressed -- 9.7.3 R Functions akp.effect, yuenv2, and med.effect -- 9.8 Plotting Data -- 9.8.1 R Functions ebarplot, ebarplot.med, g2plot, and boxplot -- 9.9 Comparing Quantiles -- 9.9.1 R Function qcomhd -- 9.10 Comparing Two Binomial Distributions -- 9.10.1 Improved Methods -- 9.10.2 R Functions twobinom and twobicipv -- 9.11 A Method for Discrete or Categorical Data -- 9.11.1 R Functions disc2com, binband, and splotg2 -- 9.12 Comparing Regression Lines -- 9.12.1 Classic ANCOVA -- 9.12.2 R Function CLASSanc -- 9.12.3 Heteroscedastic Methods for Comparing the Slopes and Intercepts -- 9.12.4 R Functions olsJ2 and ols2ci -- 9.12.5 Dealing with Outliers among the Dependent Variable -- 9.12.6 R Functions reg2ci, ancGpar, and reg2plot -- 9.12.7 A Closer Look at Comparing Nonparallel Regression Lines -- 9.12.8 R Function ancJN…”

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