Purpose-This study argues that individuals' use of personal knowledge management systems (PKMS) significantly differs as a result of their underlying innovativeness and involvement traits. Based on the literature, this study proposes that whilst more-involved users utilize PKMS more frequently, more-innovative users utilize more functions of PKMS. Accordingly, this study informs scholars and managers that using a single approach-that is, only use frequency or the number of functions used-to evaluate the performance of a PKMS may lead to a biased result. Design/methodology/approach-A field survey was conducted to collect data. Correlation techniques and regression analysis were used to test the proposed relationship between constructs. Findings-Findings indicated that whilst both traits were significantly associated with PKMS usage behaviors, users' involvement was the primary predictor of PKMS use frequency, while users' innovativeness predominated in the prediction of the number of PKMS functions they used. That is, although more-involved users may use fewer functions compared with more-innovative users, they are more likely to become long-term supporters of PKMS because their use frequency is significantly higher than that of more-innovative users. Originality/value-After a half-century of development of information technology, this paper addresses the importance of taking a step further and verifying the behaviors related to the use of PKMS with different approaches such as use frequency and the number of functions used. In particular, this study is a pioneering piece of research in the information system discipline, revealing that individuals' underlying innovativeness and involvement contribute to different PKMS use behaviors.

Purpose -Taiwan is one of several leading countries in the mobile music context. Accordingly, Taiwan's experiences in promoting mobile music service diffusion are of importance and interest to international practitioners and researchers. Applying Rogers' innovation diffusion theory, this study aims to employ econometric models to investigate whether the diffusion of mobile music service adoption is affected by external influences (e.g. mass media advertising, salespeople, and service providers), internal influences (e.g. interactions and imitations among acquaintances), or a combination of such influences. Design/methodology/approach -To determine which influence best explained the diffusion of mobile music adoptions, the external, internal, and Von Bertalanffy mixed influence diffusion models were tested in this study. GNUS, a strongly functional language and environment to statistically explore data sets, was used to estimate the parameters of each model. The performance of each diffusion model was then examined using the Akaike AIC and Schwarz BIC statistics. Findings -Findings indicated that the Von Bertalanffy mixed influences model best describes the diffusion pattern of mobile music service adoption and that acquaintances' influence in terms of interactions is the dominant factor influencing mobile music service adoption decision in Taiwan. Originality/value -How managers of a mobile music service provider can use the internal and external influences interchangeably to effectively accelerate the mobile music diffusion at the different stage of product lifecycle is presented in this study. Indeed, the mobile music service is one of the most important industries worldwide not only because its penetration rate in many countries is over 50 percent, but also because of its killer applications. In light of this, the study contributes highly to theoretical and empirical examinations because the diffusion of the mobile music services within a society is the essence of the development/usage of the m-commerce or music industries.

The problem of excessive occupational stress faced by IS employees may accelerate their intention to quit, which may ultimately cause companies difficulty in finding skilled professionals and a huge cost in training newcomers. A handful of past studies in the information system discipline have examined this connection from the perspective of job satisfaction to some extent. However, employees' behavioral outcomes resulting from their excessive stress are not limited to intention to quit: job performance and absenteeism, which were significantly associated with organizational effectiveness, were unfortunately overlooked in the IS studies. To broaden the knowledge in IS personnel management, the current study has incorporated the literature from psychology and organizational behavior to propose a theoretically based model. Findings will be able to provide fruitful implications for future researchers and practitioners.

This study aimed to demonstrate empirically that consumers' attention is related to changes in the electroencephalographic (EEG)

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