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Luxury goods manufacturers may find it profitable to enter a different demographic segment, and several strategies are available to do so. Nevertheless, such market expansion can be risky, and the luxury goods company must avoid tarnishing the equity contained in the luxury brand. This study examines the effects of a co-branding strategy between luxury brands and retailers on consumers’ evaluation of the luxury brand's image. We use information integration theory (IIT) as the basis for our study, as it can be used to explore how attitudes are formed and changed as new information is combined with existing cognitions and thoughts. A theoretical model based on IIT is built and empirically tested using a sample of 240 Taiwanese adult consumers. We conduct an experimental survey study in which we manipulate luxury brand familiarity and product and brand fit between luxury brand and the co-brand, and assess prior-attitudes and post-attitudes toward the luxury brand and attitudes toward the co-brand. We find support for many of our hypotheses: prior-attitudes toward the luxury brand is positively related to the attitude toward the co-brand, brand fit is related to attitudes toward the co-brand, and brand fit is marginally related to the post-attitude toward the luxury brand. Other hypotheses, however (such as those regarding product fit) were not supported. We conclude by discussing our theoretical and managerial contributions.

Over the past decade, many small‐ and medium‐sized enterprises have incurred dramatic losses due to major disasters, causing loss of their business information systems and transaction data, so, they have started to outsource their information operations to data centers (DCs), in order to monitor critical business data operations. The purpose of this paper is to propose a dual‐sided business data integrity policy framework.

Based on a review of the available literature, case studies, and in‐depth interviews with top CEOs and experts in the field, a fuzzy Delphi method is proposed in two frameworks. In addition, a risk evaluation rule is derived by applying Bayesian decision analysis to mitigate the risk and lower the cost in their outsourcing policy; and Delphi method is used to extract 11 DC service quality evaluation indicators and also use these indicators to conduct a benchmark in Taiwan. Furthermore, the proposed framework is applied to figure out critical service advantages as well as suggestions for the DC involved in the benchmark.

The results of framework point out that enterprises should monitor the four operation elements (facility and infrastructure, server system management, information security management, and disaster recovery (DR) mechanism) to ensure and improve their data integrity; and DC firms need to build robust facilities and services in the five operation elements (customizability, serviceability, information technology infrastructure, security management, and knowledge intensity).

This paper uses a hybrid Delphi‐Bayesian method to propose a new framework, which is adequately integrated with the consensus of experts and business decision makers; higher professionalism and content validity are achieved. Enterprises can use these indicators to evaluate the service quality of DCs among DC firms.

Brent B. Allred is an Associate Professor of Strategic Management and International Business at The College of William & Mary, in Williamsburg, VA. He earned his Ph.D. in Strategic Management/International Business at The Pennsylvania State University. His current research interests are in technology sourcing and patent rights. He has published in various journals, including the Journal of International Business Studies, Management International Review, the Journal of International Management, Academy of Management Executive, and the Journal of Product Innovation Management.

Business intelligence (BI) has been applied in various domains to take better decisions and it provides different level of information to its stakeholders according to the information needs. The purpose of this paper is to present a literature review on recent works in BI. The two principal aims in this survey are to identify areas lacking in recent research, thereby offering potential opportunities for investigation.

To simplify the study on BI literature, it is segregated into seven categories according to the usage. Each category of work is analyzed using parameters such as purpose, domain, problem identified, solution applied, benefit and outcome.

The BI contribution in various domains, ongoing research in BI, the convergence of BI domains, problems and solutions, results of congregated domains, core problems and key solutions. It also outlines BI and its components composition, widely applied BI solutions such as algorithm-based, architecture-based and model-based solutions. Finally, it discusses BI implementation issues and outlines the security and privacy policies adopted in BI environment.

In this survey BI has been discussed in theoretical perspective whereas practical contribution has been given less attention.

A comprehensive survey on BI which identifies areas lacking in recent research and providing potential opportunities for investigation.

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.