Reasons behind ERP package adoption: a diffusion of innovations perspective

Enterprise Resource Planning (ERP) packages have been widely adopted and it is becoming clear that this is driven by multiple rationales that may be simultaneously at odds and complimentary. In this paper, we aim to develop a greater understanding of these rationales by taking ERP packages to be innovations and analysing their adoption with reference to the theory of diffusion of innovations. In particular, we consider the attributes of ERP packages that may affect their adoption such as relative advantage, compatibility, complexiblity, trialability and observability. We argue that users’ perceptions of these attributes are not always accurate and these ’misconceptions’ can further explain reasons for ERP adoption or rejection. Although our analysis aims to provide rich insights into the adoption of ERP packages, the results of the study are arguably of further interest to the more general study of packaged software and the more established literature on custom development

A Stated Preference Analysis of International Commodity Marketing: South Korean Hotel Meat Buyers' Perceptions of Canadian Beef, US Beef and Australian Beef

International Relations/Trade, Livestock Production/Industries,

Abstraction and Product Categories as Explanatory Variables for Food Consumption

An understanding of the process by which consumers match consumption choices to personal values is powerful aid to guide strategic market orientation. It is of particular importance in the highly saturated food markets of developed countries, where consumer needs are shifting closer and closer towards the search for quality and emotional benefits. This study sets out to explore variation in the consumer choice structure in relation to three products with different levels of search, experience and credence attributes, using means-end chain theory. The results suggest the presence of an emotional component in foods that increases in complexity (becomes more abstract) with the number of credence attributes associated with the product; a fact worthy of the consideration of product managers when designing marketing strategies.quality, the information economy, search, experience and credence goods, means-end chain, laddering, abstraction, Food Consumption/Nutrition/Food Safety,

A fuzzy set preference model for market share analysis

Consumer preference models are widely used in new product design, marketing management, pricing, and market segmentation. The success of new products depends on accurate market share prediction and design decisions based on consumer preferences. The vague linguistic nature of consumer preferences and product attributes, combined with the substantial differences between individuals, creates a formidable challenge to marketing models. The most widely used methodology is conjoint analysis. Conjoint models, as currently implemented, represent linguistic preferences as ratio or interval-scaled numbers, use only numeric product attributes, and require aggregation of individuals for estimation purposes. It is not surprising that these models are costly to implement, are inflexible, and have a predictive validity that is not substantially better than chance. This affects the accuracy of market share estimates. A fuzzy set preference model can easily represent linguistic variables either in consumer preferences or product attributes with minimal measurement requirements (ordinal scales), while still estimating overall preferences suitable for market share prediction. This approach results in flexible individual-level conjoint models which can provide more accurate market share estimates from a smaller number of more meaningful consumer ratings. Fuzzy sets can be incorporated within existing preference model structures, such as a linear combination, using the techniques developed for conjoint analysis and market share estimation. The purpose of this article is to develop and fully test a fuzzy set preference model which can represent linguistic variables in individual-level models implemented in parallel with existing conjoint models. The potential improvements in market share prediction and predictive validity can substantially improve management decisions about what to make (product design), for whom to make it (market segmentation), and how much to make (market share prediction)

Geographically Referenced Data for Social Science

An estimated 80% of all information has a spatial reference. Information about households as well as environmental data can be linked to precise locations in the real world. This offers benefits for combining different datasets via the spatial location and, furthermore, spatial indicators such as distance and accessibility can be included in analyses and models. HSpatial patterns of real-world social phenomena can be identified and described and possible interrelationships between datasets can be studied. Michael F. GOODCHILD, a Professor of Geography at the University of California, Santa Barbara and principal investigator at the Center for Spatially Integrated Social Science (CSISS), summarizes the growing significance of space, spatiality, location, and place in social science research as follows: "(...) for many social scientists, location is just another attribute in a table and not a very important one at that. After all, the processes that lead to social deprivation, crime, or family dysfunction are more or less the same everywhere, and, in the minds of social scientists, many other variables, such as education, unemployment, or age, are far more interesting as explanatory factors of social phenomena than geographic location. Geographers have been almost alone among social scientists in their concern for space; to economists, sociologists, political scientists, demographers, and anthropologists, space has been a minor issue and one that these disciplines have often been happy to leave to geographers. But that situation is changing, and many social scientists have begun to talk about a "spatial turn," a new interest in location, and a new "spatial social science" that crosses the traditional boundaries between disciplines. Interest is rising in GIS (Geographic Information Systems) and in what GIS makes possible: mapping, spatial analysis, and spatial modelling. At the same time, new tools are becoming available that give GIS users access to some of the big ideas of social science."

A framework for integrating syntax, semantics and pragmatics for computer-aided professional practice: With application of costing in construction industry

Producing a bill of quantity is a knowledge-based, dynamic and collaborative process, and evolves with variances and current evidence. However, within the context of information system practice in BIM, knowledge of cost estimation has not been represented, nor has it been integrated into the processes based on BIM. This paper intends to establish an innovative means of taking data from the BIM linked to a project, and using it to create the necessary items for a bill of quantity that will enable cost estimation to be undertaken for the project. Our framework is founded upon the belief that three components are necessary to gain a full awareness of the domain which is being computerised; the information type which is to be assessed for compatibility (syntax), the definition for the pricing domain (semantics), and the precise implementation environment for the standards being taken into account (pragmatics). In order to achieve this, a prototype is created that allows a cost item for the bill of quantity to be spontaneously generated, by means of the semantic web ontology and a forward chain algorithm. Within this paper, ‘cost items’ signify the elements included in a bill of quantity, including details of their description, quantity and price. As a means of authenticating the process being developed, the authors of this work effectively implemented it in the production of cost items. In addition, the items created were contrasted with those produced by specialists. For this reason, this innovative framework introduces the possibility of a new means of applying semantic web ontology and forward chain algorithm to construction professional practice resulting in automatic cost estimation. These key outcomes demonstrate that, decoupling the professional practice into three key components of syntax, semantics and pragmatics can provide tangible benefits to domain use

Gaining a competitive advantage through market research into home buyer preferences

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1992.Includes bibliographical references (leaves 126-129).by Arthur Paul Boytinck and Maaria Indermuehle Olander.M.S

Customs Valuation in India: Identifying Trade Facilitation related Concerns

India has introduced several trade facilitation related measures in the last couple of years. The pro-active strategy adopted by the Central Board of Excise and Customs (CBEC) has helped in introducing several policy measures which have not only streamlined the role of the customs department but has also helped industry in a major way without compromising collection of revenue.Trade Facilitation, Customs Valuation, India