Qualıty Management In Logıstıcs Sector: Prıncıples And Practıce

Abstract

As it is the case for production and service sectors, one of the key ways for a logistics company to create sustainable competitive advantage is to differentiate itself from the rest with the quality that it offers. Researchers and practitioners have developed various quality improvement policies for logistics service providers and each of the policies addresses certain aspects of the business. This study individually evaluates the major quality approaches involved in an attempt to explore prospects of combining them in a way to maximize the benefit of their implementation. To promote applicability the quality approaches are analyzed from the perspective of customers as well as that of implementers of quality programmes.

Assessement of managers satisfaction regarding the HR Function in developing countries through a quantitative method research: The Moroccan context

“…This quantitative study that we conducted among 109 managers working in companies of different sizes and activities based on Ulrich model whose reliability was proven by calculating Cronbach Alphas, results in the fact that the structuring of the HR function is a predisposing condition for its performance as it was proven in other contexts by Kehri and Bouzar [29] and Trépé et al [8].. Though, aspects of this performance remain debatable.…”

“…The constraints of competition and open economic strategies strongly contribute to the development of management practices adopted by multinationals or very large sized companies that are trying to give a socially responsible corporate image and seeking the harmonization between the HR function partners to improve management and efficiency of their systems. [29]. Large enterprises continue to face obstacles in managing their human resources as they are in a "fallback" position characterized by the desire to be opened up economically and continuity of management according to outdated practices inside of a culture known by the inflexibility to change.…”

Architectural design of trust based recommendation system in customer relationship management

“…The Analytical CRM tools proposes to better know its customers by the analysis of centralized and structured data around the notion of customer, [22] The concrete applications of analytical CRM are numerous: customer value tracking (cross-fertilization of quantitative and qualitative data), customer segmentation, analysis of cross selling opportunities and up selling (principle of additional or additional sales) analysis of the quality of service rendered to the customer, measurement of the impact of marketing campaigns [9] and improved sales and customer loyalty. [26]…”