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Business Intelligence (BI) systems are applied by increasing numbers of organizations in a wide range of sectors. Despite the growing numbers of BI solutions and the experience augmented in many implementation projects worldwide, as well as the value that BI systems provide to organizations, IT literature lacks a coherent set of definitions through which BI systems can be classified, categorized, and assessed. Furthermore, BI implementation projects often do not succeed or do not fully accomplish the degrees of value and performance as expected, when firms fail to complete the system implementation, to satisfy the needs of users or when the benefits BI systems produce are lower than anticipated. This paper presents an analytical framework through which BI systems are defined and classified. On the basis of this framework, possible technical, organizational, and personal factors that affect the failure, partial or full success of BI system implementations are discussed. These factors are followed by a case study and empirical data analyses that exemplify and assess the extent to which various organizational attributes and properties of users influence the success or failure of BI implementation projects. Finally, implications regarding the management of BI system implementation projects and the organizations that apply them are derived.

Literature has mainly analyzed the technical attributes of voice for enterprise technical applications, such as voice signature and speech recognition. This paper aims at identifying voice and speech attributes that reflect sentiment and affect (positively or negatively) customer satisfaction levels in voice interactions. The paper used method triangulation that utilizes multiple data sources to gain comprehensive understanding of the domain, including auditory observations, focus group interviews, customer survey, and a review of recent academic studies. The findings indicate that customer experience and satisfaction are influenced by the relative values of voice pitch between the CSR (customer service representative) and the customer. The major conclusion of the study suggests that voice fundamental pitch, speech rate, voice amplitude, and other communication parameters might deploy hidden power and affect service interaction's results. The study opens a new venue for research on social interaction adjustment from the CSR's perspective and from the customer's standpoint.

We use the data compiled from the USPTO patent and patent citations concerning the patented knowledge intensive technologies in three areas: cryptography, image analysis and data processing/software. The data is restricted to those patents between the years 1980-2003 that have two or more assignees, i.e. we consider only joint patents. We find some evidence that technological or product market proximity of partners in R&D alliance matters but whether the closeness generates more or less valuable innovations depends on the technology field. Our data further suggest that the most valuable innovations are generated when there is a certain level of prior patenting experience of the individual innovation partners. Interestingly, the prior patenting experience of the pairs of firms filing the joint patent does not seem to matter. It thus seems that learning from the prior joint patenting that creates more value for innovations is rather firm-specific than alliance-specific. Our findings on prior joint patenting experience generally hint that not only strategic benefits, and those benefits related to the management of joint patenting, can be gained from the R&D alliance experience.