PurposeThe purpose of this paper is to construct a customer‐oriented integrative service model based on the generic service process. Business strategies can then be formulated by using the model.Design/methodology/approachThe key classifying dimensions and their respective attributes are identified through literature reviews. Operational dimensions are formed by combining their attributes weighted by manager‐determined importance weights (IW). A generalized mathematical model is built to integrate the core services of a firm with customer‐based performance weight (PW). The integrative service model is constructed by combining the operational dimensions.FindingsThe selected classification model covers knowledge, information and virtual space dimensions that most of the previous service‐process based model lack. The developed model is simpler to understand and to use for managers comparing to the other complicated mathematical models.Research limitations/implicationsEmpirical studies need to be done to test the effectiveness of the model. Experienced managers are needed to decide the IW.Practical implicationsManagers can use the developed model to formulate integrated business strategies as well as forecasting competitor's strategies. The developed model is a customer‐oriented approach for service strategy formulation.Originality/valueA generalized mathematical model is derived for a firm offering “n” kinds of core services. Computer software can be written based on it to handle the complex cases.

The purpose of this paper is to study how advances in cloud computing impact the processes of creating and running businesses over the tourism sector for small and medium-sized enterprises in Taiwan, and to identify the main factors that relate to the adoption of CRM cloud systems by SMEs. This study adopts two steps to build the structure of decision model with the analytic hierarchy process method. The findings confirm that factors affecting the adoption of Cloud CRM service in SMEs are grouped into four categories, which is financial benefits, marketing benefits, management factors, and environment factors. This study hopes to enhance the quality of the evaluation process, and help support SME decision makers in exploring their opportunities surrounding Cloud services adoption.

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Abstract. Wireless sensor networks have drawn much attention due to their ability to monitor ecosystems and wildlife habitats. In such systems, the data should be intelligently collected to avoid human intervention. For this, we propose a network infrastructure in which the sensor nodes are designated as "data-generating" or "data-storage" nodes. Data-generating nodes take measurements, whereas data-storage nodes make themselves available to compute and store checksums of data received from nearby data-generating nodes. We propose a spatially-clustered architecture for our storage nodes and a coding scheme that allows a data collector to recover all original data by querying only a small random subset of storage nodes from each cluster. The size of such a subset is equal to the number of data-generating nodes that the cluster serves. When the clustering structure of the storage nodes is unknown, we show that recovering of the original data is still possible if a random subset of the right size of storage nodes is selected for querying. We determine this right size so as to have a successful decoding with a probability exceeding a given threshold.

This paper attempts to demonstrate the usefulness of fuzzy synthetic decision approach to assess the brand value on consumers' minds in the cosmetic market in a metropolitan area. The empirical works identify 10 key criteria on cosmetic evaluation, and consumers prefer Japan-made cosmetic products to Europe-made or US-made cosmetic products. Our research has provided a new path for future research on brand evaluation under a bunch of symbolic and numeric information or attributes.