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This paper aims to establish a two‐part research agenda for marketing in supply chain management (SCM) through the application of an interdisciplinary model, using marketing, operations, logistics/purchasing, and information technology as the nodes for a model.

After generating a list of the highly ranked and relevant journals in each of the four disciplines, an exhaustive search was conducted of the literature published from January 1999 through December 2002, using the keywords supply chain and supply chain management. The keywords were searched for in any field (i.e. title or abstract). The authors also conducted a Delphi study of experts to identify relevant journals in each field. The resulting articles were sorted by topic and mapped to one of the other remaining three functional disciplines. This yielded six intersections between functions, three of which are examined in this manuscript as dyads with marketing. Thus, it was possible to identify current overlap in topics researched and potential areas of overlap, representing opportunities for collaboration between the disciplines.

For simplicity and focus, this paper presents only marketing SCM research. The mapping process yielded: topics that are being researched from the marketing perspective but not in the IT, logistics, or operations perspectives; topics that are being researched from the IT, logistics, or operations perspectives but not from the marketing perspective; and similar (or identical) topics that are being researched from both the marketing and the IT perspective, the marketing and logistics perspective, and the marketing and operations perspective. Based on these mappings, an interdisciplinary research agenda for marketing SCM researchers was derived.

Using an automated extraction of articles from published databases by using keywords may present inconsistencies. The authors have attempted to minimize the inconsistencies by documenting the process and cross‐validating the work in each function with at least two of the research team independently extracting, categorizing, and mapping the articles. Another limitation that arose was in terms of language. Since the research team consisted of researchers from different functional areas, it had to address semantics issues as the study was conducted. The authors also limited the initial endeavor to mapping only as a dyad and only using dichotomous variables. Future work on this model may include an ordinal ranking system or multi‐function mapping.

This work presents a useful model for determining an interdisciplinary research agenda in marketing. Since business and supply chain integration are increasingly important, concepts in business, academic research should take an interdisciplinary approach, providing the prospects for richer and more applicable results. Interdisciplinary research can also help to combat the silos that people tend to work in, creating new knowledge.

This paper provides the example of a model for determining an interdisciplinary research agenda. Supply chain management has been co‐opted by almost every business discipline. There is much to be learned by working together to bring new ideas and knowledge to bear on the issues related to managing the supply chain.

The modern industrialized world was completely caught off guard by the recent SARS outbreak. Fortunately, for most organizations, the impact has been short lived, but management has been provided with a reminder of the impact of the external environment in a world of ever increasing globalization. As seen with the SARS outbreak, a lack of preparedness can have devastating effects on business and warrant inclusion in a business definition of a crisis. This paper uses the recent SARS epidemic as a background to highlight the importance of crisis planning, particularly in emerging economies, and suggests how organizations can address these concerns.

Important lessons can be learnt from the recent SARS epidemic, which reminds us that despite technology and science, the world is not entirely secure from such outbreaks. In addition to health issues and the toll of human suffering, SARS caused much distress within the business community, especially those companies with operations in emerging economies. We look at what lessons can be and have been learnt from the epidemic, and offer a modified framework of crisis management planning to help businesses deal better with similar epidemics in the future. We are also disheartened that very little concrete action seems to have been implemented to foster contingency planning by businesses, despite the financial impact and crisis brought on by SARS.

The purpose of this paper is to empirically examine the performance of the alternative IS/IT adoption models used more frequently in the citizen centric adoption of e‐government systems. Such analysis will not only provide a trend about the models and subsequent constructs being utilized in this area of research but also guides us toward laying a foundation for the formulation of an alternative integrated model for citizen centric adoption of e‐government services.

The relevant secondary data from 87 research studies on citizen centric e‐government services were analysed to examine the performance of some of the most frequently used alternative models (e.g. technology acceptance model (TAM), diffusion of innovation|innovation diffusion theory (DOI|IDT), DeLone and McLean IS success model, unified theory of acceptance and use of technology (UTAUT), and theory of planned behaviour (TPB)) of IS/IT adoption in this area of research.

The findings of this research indicate that TAM is by far the best suited model for analysing citizen centric adoption of e‐government services. It was also found that although diffusion of innovation|innovation diffusion theory (DOI|IDT) is the second highly used model, only three of its constructs (i.e. compatibility, complexity, and relative advantage) were in use across various studies. Moreover, it was visualised that constructs such as triability and observability were never used in the e‐government context. Similarly, the constructs from TPB have not been used up to the presence of the model across various studies. All the constructs (i.e. performance expectancy, effort expectancy, and social influence) of the UTAUT model, except facilitating conditions, have been used quite regularly.

This research evaluates the various IS/IT adoption research models being used in e‐government adoption only on the basis of their performances across the existing research studies. The evaluation of the performance of such models may not reflect their true picture only through meta‐analysis.

This paper presents a comprehensive meta‐analysis of some of the most frequently used IS/IT adoption models in the context of e‐government adoption research. Such analysis would help us picking up the most appropriate models and/or their constructs for developing an alternative model for our research.