If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The paper aims to investigate the effect of compositions of managerial/demographic characteristics of the top management team (TMT) on the extent of information technology (IT) adoption in small businesses (SMEs), where such strategic decisions made by TMT have direct and significant influence on all aspects of business operations and its competitive position in a market. Design/methodology/approach -Based on the upper echelon theory, the study formulated four hypotheses relating the compositions of TMT characteristics to the extent of IT adoption in different functional areas. Multiple regression analysis was employed to analyze the data. Findings -The age average and the education average of TMT in small businesses are significant predictors of the extent of IT adoption. However, the group heterogeneity (either gender or ethnicity), contrary to the prediction, has negative impact on the extent of IT adoption. Practical implications -The research findings indicate that the age and education composition of managers as current/future top management is critical to facilitate the extent of IT adoption in SMEs. Originality/value -The research contributes to the body of knowledge in IT adoption by complementing the results of prior research with the findings that the characteristic compositions of TMT affect the extent of IT adoption in SMEs, applying the upper echelon theory to examine issues surrounding IT adoption, and suggesting practical implications that SMEs could compose, educate, and rejuvenate their top management teams to achieve a high extent of IT adoption.

Purpose -The purpose of this paper is to develop an analytical hierarchy process (AHP)-based selection model for choosing a web analytics product/service that meets organizational needs. Design/methodology/approach -The research objective is achieved through modeling and empirical validation. Findings -While more criteria could be added, the proposed selection model provides a feasible approach to choosing a web analytics product/service. Cost-and risk-related criteria are weighed heavier than those of technical capabilities. Tools based on the page tagging method are more popular than those based on transaction log file analysis. The level of technology savvy might play a role in the application of the selection model. Research limitations/implications -The development of web analytics products/service is still evolving. Thus, as the use of web analytics increases, more criteria might be identified and added to the model. The model is validated by groups for different sectors. In the future, it is suggested to conduct a similar study with one sector by different groups. Practical implications -The selection model provides a process in which practitioners can systematically evaluate pros and cons of web analytics products/services. The selection model includes a comprehensive list of criteria that vendors of web analytics products/services can use to benchmark their products. Following this model, an organization contemplating the use of web analytics will more likely find one product/service that accommodates organizational and technological characteristics. Originality/value -A sufficiently comprehensive list of qualitative and quantitative criteria for evaluating web analytics products/services was developed. Practitioners will be able to use the model to select a proper tool. In academia, the article fills a gap in literature that might bring academics' interests in this area.

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The Internet-enabled connectivity has created opportunities for businesses to conduct various forms of collaborative activities. However, the findings of several surveys indicate that the deficiencies in data quality might compromise the potential benefits of joint efforts. Global data synchronization (GDS), the process of timely updating product data to maintain the data consistency among business partners, is viewed as the key to materializing the benefits of ecollaboration in the global supply chain setting. In the paper, we present the need for data synchronization, discuss the evolution of technical standards of data identification schemes, and introduce the Global Data Synchronization Network (GDSN), the platform on which global data synchronization is substantiated. We detail the structure of GDSN and the protocols for the process of GDS. Furthermore, we discuss business and management implications of GDS, different approaches to implementing GDS, and challenges to the implementation of GDS. The emergence of GDS and GDSN presents research opportunities on issues relating to the implementation of GDS, the relationship between GDSN and EPCglobal Network, the impact of GDS on inter-organizational relationships, the network effect of global standards, and evolution of complementary standards. We discuss these research opportunities. In brief, the article covers the history, present status, and future of GDS and GDSN, as well as their potentials, benefits, and implementation issues.

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