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With recent advances in internet technologies, internet of things (IoT) technology is having an increasing impact on our daily lives, and beginning to offer interesting and advantageous new services. The current research aims to develop and test an integrative model of factors determining consumers' acceptance of IoT technology.

Based on technology acceptance model (TAM), the authors proposed an IoT acceptance model that consists of three technology factors (perceived usefulness, perceived ease of use, and trust); one social context factor (social influence); and two individual user characteristics (perceived enjoyment and perceived behavioral control). Data from 368 Chinese consumers were used to test the research model through the use of structural equation modeling.

The results showed particularly strong support for the effects of perceived usefulness, perceived ease of use, social influence, perceived enjoyment, and perceived behavioral control. However, trust played an insignificant role in predicting the intention. In addition, perceived ease of use and trust were found to affect perceived usefulness. Compared with the individual TAM model, the integrated model provides more explanation on user behavioral intention toward IoT usage.

The integrated model explores the driving factors of individuals' willingness to use IoT technology from the perspectives of the technology itself, social context and individual user characteristic. It links the constructs of social influence, enjoyment, and perceived behavioral control to the TAM and successfully extends TAM in the IoT technology context.

The purpose of this paper is to develop a hybrid semantic recommendation system to provide personalized government to business (G2B) e‐services, in particular, business partner recommendation e‐services for Australian small to medium enterprises (SMEs).

The study first proposes a product semantic relevance model. It then develops a hybrid semantic recommendation approach which combines item‐based collaborative filtering (CF) similarity and item‐based semantic similarity techniques. This hybrid approach is implemented into an intelligent business‐partner‐locator recommendation‐system prototype called BizSeeker.

The hybrid semantic recommendation approach can help overcome the limitations of existing recommendation techniques. The recommendation system prototype, BizSeeker, can recommend relevant business partners to individual business users (e.g. exporters), which therefore will reduce the time, cost and risk of businesses involved in entering local and international markets.

The study would be of great value in e‐government personalization research. It would facilitate the transformation of the current G2B e‐services into a new stage wherein the e‐government agencies offer personalized e‐services to business users. The study would help government policy decision‐makers to increase the adoption of e‐government services.

Providing personalized e‐services by e‐government can be seen as an evolution of the intentions‐based approach and will be one of the next directions of government e‐services. This paper develops a new recommender approach and systems to improve personalization of government e‐services.

A framework for a hybrid intelligent support system is proposed, on the basis of a discussion of the main problems of current computer‐based support systems and the roles for computer‐based systems in developing marketing strategy. The objectives of the framework are: to integrate the strengths of different support techniques and technologies; to assist strategic analysis; to couple strategic analysis with managers’ judgement; to help managers deal with uncertainty; and to aid strategic thinking. Within this framework, the benefits of different strategic analysis models are combined to offer enhanced support for a logical sequence of strategic analysis, while the advantages of diverse support techniques and technologies are integrated and fitted to support different aspects of the marketing strategy development process. As well as the theoretical basis for the proposed framework, the paper also examines the associated technical issues.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Explores the potential of a hybrid intelligent system in supporting marketing strategy development. First, a hybrid intelligent system for developing marketing strategy, called MarStra (developed by the author), is outlined. Then discusses the real‐world tests of MarStra with marketing directors in five large UK companies. Empirical evidence from the companies involved indicates that MarStra is very helpful and useful in: providing strategic analysis guidance; coupling strategic analysis with managerial judgement; helping strategic thinking; dealing with fuzziness and uncertainty; and supporting group assessment of strategic marketing factors. The intelligent outputs generated by MarStra were reported to be surprisingly accurate, mostly sound and useful prompts.

An intelligent hybrid system, called GloStra (developed by the author), for developing global marketing strategy and associated Internet marketing strategy is reported in this paper. The hybrid system is built to integrate the strengths of expert systems, fuzzy logic, artificial neural networks and decision support technology; and to link the development of global marketing strategy with the formulation of associated Internet marketing strategy. In the paper, the system architecture, the functional modules of the hybrid system and other associated technical issues are addressed. The directions for further research in this field are also highlighted.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.