Many online entrepreneurs do not realize that they may be held legally liable for keywords they select during their marketing campaigns, especially if they correspond to registered or famous trade marks. The present contribution highlights some of the most important aspects of the Google and eBay cases that illustrate this problem. The European Court of Justice has recently ruled that a search ...

An Autoregressive Conditional Marked Duration (ACMD) model for the analysis of irregularly spaced transactions data is proposed. Based on the Autoregressive Conditional Duration (ACD) model of Engle and Russell (1998), the ACMD model assigns marks to characterize events such as price movements, order arrivals, or quote revisions. By marking tick movements, we study the influence of trade freque...

Sour cassava starch (polvilho azedo) is a chemically and enzymatically modified starch. It is used in traditional products in bread-making because of its expansion property, which forms a light, alveolar structure and dismisses the use of any chemical or biological ferment. The present work was performed with the objective of suggest some easy assay procedures to predict sour cassava starch exp...

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The paper begins with a discussion of the nature and relationship of trade marks to patents. We ask whether trade marks should be classed as market improving intellectual property (IP) or as private intangible assets. Our empirical aims are to document the acquisition of these two kinds of IP by UK firms and to investigate the Schumpeterian relationship between firm size and IP. We use a newly ...

Consumers are becoming more demanding about the social and environmental conditions surrounding how products services made provided. Aware of this trend, marketers have incentives to use social- or green-washing, match consumers’ desire purchase conscientiously. A newer marketing trend is “pink-washing”, where companies express their “wokeness” (or social-cultural progressiveness) sexual gender...

We propose an Autoregressive Conditional Marked Duration (ACMD) model for the analysis of irregularly spaced transaction data. Based on the Autoregressive Conditional Duration (ACD) model, the ACMD model assigns marks to characterize events such as tick movements and trade directions (buy/sell). Applying the ACMD model to tick movements, we study the influence of trade frequency, direction and ...