Service quality & marketing: a practical relation

In this paper we aim to study the application of Six Sigma methodology to enhance online brand equity. In this regard, we will review different online brand equity models, brand equity failure modes and ways that online marketers can estimate current and desired sigma level of business branding performance. Research methodology applies on of main Six Sigma models, known as DMAIC (Define, Measure, Analyze, Improve, and Control). In this frame work, we benefit from main tools in each mentioned phase above to reach associated improvement actions to show how business managers can enhance corporate online brand equity by using Six Sigma methodology. In addition the paper can be considered as first researches that investigates the application of Six Sigma technique in the field of online brand equity.Keywords: Six Sigma, online brand equity, DMAI

Aflatoxin M1 contamination level in Iranian milk and dairy products: A systematic review and meta-analysis

Aflatoxin M1 is a derivate of aflatoxin B1 and an important contaminant of milk and dairy products. This systematic review and meta-analysis was conducted on relevant Persian and English original articles in national and international databases with no time limits until 1 January 2018. In total 605 articles were found among which 70 articles met the inclusion criteria for meta-analysis. The prevalence (95 confidence interval (CI)) and mean concentration (95 CI) of aflatoxin M1 was found to be 64 (53-75) and 39.7 ng/l (31.9-47.4 ng/l) in raw milk, 95 (89-98) and 62.3 ng/l (40.6-84 ng/l) in pasteurised milk, 71 (56-84) and 60.1 ng/l (30.9-89.3 ng/l) in sterilised milk, 59 (20-93) and 5.5 ng/l (3.3-7.7 ng/l) in breast milk and 72 (61-81) and 82.3 ng/kg (63.7-100.9 ng/kg) in dairy products. In general, 9 (4-16) of milks and 10 (4-17) of dairy products had aflatoxin M1 in concentrations exceeding the permitted level of Iranian standards (500 ng/l). Based on the maximum permitted aflatoxin M1 concentration in standards of Europe (50 ng/l), these percentages increase to 25 (18-32) for milks and 18 (9-29) for dairy products. According to the results, further control and preventive measures should be applied on livestock feeds because decreased aflatoxin B1 contamination at this level results in decreased aflatoxin M1 in milk and dairy products. © 2019 Wageningen Academic Publisher

Injecting (Micro)Intelligence in the IoT: Logic-Based Approaches for (M)MAS

Pervasiveness of ICT resources along with the promise of ubiquitous intelligence is pushing hard both our demand and our fears of AI: demand mandates for the ability to inject (micro) intelligence ubiquitously, fears compel the behaviour of intelligent systems to be observable, explainable, and accountable. Whereas the first wave of the new \u201cAI Era\u201d was mostly heralded by sub-symbolic approaches, features like explainability are better provided by symbolic techniques. In this paper we focus on logic-based approaches, and discuss their potential in pervasive scenarios like the IoT and open (M)MAS along with our latest results in the field