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Looks at consumer research in Greater China including Mainland China, Hong Kong and Taiwan. Maps out the contributions within this area and guides future research. Examines the state of the art over the 1979‐97 period, with particular emphasis on the topics that have been researched, the extent of the theory development in the field and the methodologies used in conducting research. Uses content analysis to review 75 relevant articles. Suggests that, while a considerable breadth of topics have been researched, there remains much to be done, there is further room for theoretical development in Chinese consumer behaviour studies; and the methodologies used need improvement and further refinement.

Chocolate and cocoa are made from the “beans” or seeds of several small trees, natives of tropical America, of which Theobroma cacao (L.) is by far the most important. Cocoa beans were highly esteemed by the aborigines, especially the Aztecs of Mexico and Peru, who prepared from them beverages and foods. They were brought to the notice of Europeans by Cortez and other explorers, but were not extensively imported into Europe until the seventeenth century, about the time tea and coffee were introduced from the East. At present the world's supply comes chiefly from Venezuela, Guiana, Ecuador, Brazil, Trinidad, Cuba, Mexico, and other regions bordering on the Gulf of Mexico, being gathered in these regions from trees both wild and cultivated; and also to some extent from Java, Ceylon, Africa, and other parts of the Old World, where the tree has been successfully cultivated.

Outlines the ideas incorporated in “development economics” and criticizes the lack of distinction made by some writers between development and economic growth. Asks whether underdeveloped countries really need a different economic theory from Western Europe and suggests that growth (in gross national product) and development (i.e. structural change) are actually complementary processes. Reviews various theories on the causes of underdevelopment (e.g. market failure, government failure) and strategies to cure it (e.g. government intervention, private initiative, market mechanism); and cites some examples of successful positive intervention.

Recognizes the inherent conflict between multinationals’ (MNEs’) need to respond to local markets while using global integration to achieve economies of scale; and outlines relevant research from the fields of both economic and organizational theory. Criticizes the process approach based on normative theory and suggests that loose coupling theory is a more practical way of looking at MNEs. Discusses the application of these ideas to their management and identifies seven behavioural characteristics of loosely coupled systems (Weick). Links these to Doz and Prahalad’s (1991) criteria for assessing the applicability of organizational theory to MNEs. Considers the research implications and believes that MNE organization will eventually be seen, not as a special case, but as a general model.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The brief announcement that the Government had accepted that there should be regulations on open date marking of food, to come into effect in 1975, will come as no surprise. It is a timely reminder of what public pressure can achieve these days; how sustained advocacy and publicity by interested sectors of society—magistrates, local authorities, public health workers, consumer groups—can secure legislative changes which, in this case, run counter to trade opinions and the recommendation originally made by the Food Standards Committee that such a proposal was not practical and the existing law was an adequate protection. This was stated in the FSC Report on Food Labelling of 1964, although there was no indication of the evidence reviewed or that the subject had been considered very deeply; it was, after all, only a small fraction of the problem of food labelling control. It was also stated in this Report that in certain cases, date‐stamping of food could give to purchasers a false sense of security, “not justified by the conditions under which the food has been kept since manufacture”.

With so many placement opportunities around the students in their final or prefinal year, they start to feel the strain of the season. The students feel the need to be aware of their position and how to increase their chances of being hired. Hence, a system to guide their career is one of the needs of the day.

The job role prediction system utilizes machine learning techniques such as Naïve Bayes, K-Nearest Neighbor, Support Vector machines (SVM) and Artificial Neural Networks (ANN) to suggest a student’s job role based on their academic performance and course outcomes (CO), out of which ANN performs better. The system uses the Mepco Schlenk Engineering College curriculum, placement and students’ Assessment data sets, in which the CO and syllabus are used to determine the skills that the student has gained from their courses. The necessary skills for a job position are then extracted from the job advertisements. The system compares the student’s skills with the required skills for the job role based on the placement prediction result.

The system predicts placement possibilities with an accuracy of 93.33 and 98% precision. Also, the skill analysis for students gives the students information about their skill-set strengths and weaknesses.

For skill-set analysis, only the direct assessment of the students is considered. Indirect assessment shall also be considered for future scope.

The model is adaptable and flexible (customizable) to any type of academic institute or universities.

The research will be very much useful for the students community to bridge the gap between the academic and industrial needs.

Several works are done for career guidance for the students. However, these career guidance methodologies are designed only using the curriculum and students’ basic personal information. The proposed system will consider the students’ academic performance through direct assessment, along with their curriculum and basic personal information.