Nuertingen-Geislingen University, GERMANY, OPUS
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One, two, three: portable sample size in agricultural research
AbstractDetermination of sample size (the number of replications) is a key step in the design of an observational study or randomized experiment. Statistical procedures for this purpose are readily available. Their treatment in textbooks is often somewhat marginal, however, and frequently the focus is on just one particular method of inference (significance test, confidence interval). Here, we provide a unified review of approaches and explain their close interrelationships, emphasizing that all approaches rely on the standard error of the quantity of interest, most often a pairwise difference of two means. The focus is on methods that are easy to compute, even without a computer. Our main recommendation based on standard errors is summarized as what we call the 1-2-3 rule for a difference of two treatment means
Derivate: Optionen und Futures Schritt für Schritt
In diesem Buch wird das Thema Derivate neu gedacht. Dies geschieht aus der Perspektive des Financial Modeling, wobei die zentralen Fragestellungen aus der Finanzwirtschaft unter Zuhilfenahme von Microsoft Excel holistisch abgebildet und gelöst werden. Leitfaden bildet dabei eine integrierte Case Study, die in zwei Kurse unterteilt wird: Der erste Teil beschäftigt sich in drei Kurseinheiten mit den Grundlagen und der Bewertung von Optionen und Futures. Danach werden wiederum in drei Kurseinheiten die einzelnen Optionsstrategien Schritt für Schritt beleuchtet.
Die Analyse mündet – bildlich gesprochen – in einer Art Cockpit. Sie steuern mögliche Strategien in Excel. Das Buch ist Ihr Flugzeug. Am Ende sitzen Sie im Cockpit und verstehen den Aufbau des Flugzeugs. Danach können Sie das Flugzeug fliegen, also mit Derivaten Geld verdienen und Risiken hedgen.
utb+: Begleitend zum Buch erhalten Leser:innen auf einer redaktionell betreuten Website Excel-Spreadsheets zur Übung und Anwendung
A multiple case study of Social Media Marketing strategy for revenue growth in Bangladeshi Fashion Start-ups after the Corona Outbreak.
Bangladeshi consumers are unfamiliar with online shopping, and start-up owners have limited resources and skills. Therefore, Bangladeshi start-ups face a challenge in developing an effective social media marketing strategy to attract customers and increase sales. This multiple case study aimed to investigate how Bangladeshi fashion start-ups used social media marketing to boost sales after the Corona outbreak. Two Bangladeshi fashion start-ups provided data via semistructured online interviews, five benchmarking studies on prominent fashion brands' social media activities, and secondary data from existing literature has also added value to this study.
Furthermore, this research aims to develop and present social media strategies and recommendations that will assist Bangladeshi fashion start-ups in making income through social networks. Yin's 5-step data analysis process of compiling, disassembling, reassembling, interpreting, and concluding data yielded three potential themes: Effective social media
engagement strategy, platform evaluation, and which social media activities engage stakeholders who may help a startup develop are all essential considerations.
Following that, this research promotes the implementation of a realistic but straightforward strategical framework that is considered an acceptable and valuable way for businesses to handle social media marketing effectively. It is regarded as a suitable and beneficial method for fashion start-ups in Bangladesh who want to use social networking for company growth.
In addition, this research provides some suggestions for online businesses. Social media is recommended to expand your network and social interaction, especially to establish and maintain relationships with diverse followers or users who may assist your company improves sales. In terms of networking, the findings suggest that Facebook and Instagram are good places to focus their efforts because connecting with users is simple. Finally, the study's key findings suggest that keeping an active
social media presence, raising brand awareness, and establishing and maintaining relationships with followers are essential for company success and inspiring customers to connect
Influencing the Success of Precision Farming Technology Adoption — A Model-Based Investigation of Economic Success Factors in Small-Scale Agriculture
Even more than 30 years after the introduction of precision farming technologies and studies of their benefits in terms of productivity gains and environmental improvements, adoption rates, especially for variable-rate technologies, are very low. In particular, in smallholder areas, farm managers are reluctant to adopt these technologies. Therefore, this study identifies factors that hinder or facilitate adoption from an economic perspective. Using a model-based sensitivity analysis with three farms of different sizes (11 ha, 57 ha and 303 ha), it is shown that larger farms have higher resilience to external factors due to economies of scale. In addition, it is clarified that the certainty of obtaining additional benefits with GPS guidance systems can explain the higher adoption rates in farming practice, although the additional benefits (per hectare and year) are much lower for this technology than for variable-rate technologies. Small farms (30 ha) are by no means excluded from the use of digital technologies, as it is shown that the influence of learning costs on profitability is very low, low subsidies can lead to a drastic reduction in the minimum farm size and the presence of low-cost technologies is an efficient solution which allows small farms to participate in the digital transformation of agriculture