IJCST is a specialized journal for all aspects of research regarding clothing science, aimed at all those involved with clothing; whether in fabric, design, production, machinery, management or retailing.
This is a premier international journal with global reach that provides scholars and practitioners with insightful analyses and new methods for the successful management of conflicts between people, organizations, and cultures.
The International Journal of Consumer Studies provides an international forum for academic and research papers with a focus on how consumers can enhance their security and well being. It publishes articles of interest to an international audience and at the leading edge of consumer research throughout the world. The scope of the Journal includes:
IJCHM communicates the latest developments and thinking on the management of hospitality and tourism businesses worldwide. IJCHM publishes peer reviewed papers covering issues relevant to strategic management, operations, marketing, finance and HR management.
The International Journal of Cross Cultural Management (IJCCM) is an international peer reviewed journal that publishes the highest quality original research in cross cultural aspects of management, work and organization. The IJCCM aims to provide a specialized academic medium and main reference for the encouragement and dissemination of research on cross cultural aspects of management, work and organization. This includes both original qualitative and quantitative empirical work as well as theoretical and conceptual work which adds to the understanding of management across cultures.
Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications.