Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user's intentions.Design/methodology/approach: Based on technology acceptance model (TAM), network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire. Findings:Among the adoption factors we identified, network externality has the salient influence on a user's adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage. Research limitations:This study ignores time and cost factors that might affect a user's intention to adopt personal cloud storage.Practical implications: Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies. Originality/value:This study is one of the first research efforts that discuss Chinese users' personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.

On the basis of the chromogenic reaction of chromium(VI) with 1,5-diphenylcarbohydrazide (DPC) on the surface of Polysorb C-18 beads and the sequential injection renewable surface technique (SI-RST), a highly sensitive reflect spectrophotometric method for the determination of chromium(III) and chromium(VI) was proposed. Considerations of system and flow cell design, and factors that influence the determination performance were discussed. With 300 μl of sample loaded and 0.6 mg of beads trapped, the linear response range was 0.02 -0.5 mg l -1 Cr(VI) with a detection limit (3σ) of 2.4 μg l -1 Cr(VI). The method achieves a precision of 1.3% RSD (n = 11) and a throughput of 53 samples per hour. The determination of Cr(III) was based on the same reaction for the determination of Cr(VI) after being oxidized by (NH4)2S2O8. The precision of the oxidation method was evaluated using a 0.2 mg l -1 Cr(III) standard, yielding an RSD of 2.5% (n = 11). The average recovery of Cr(III) oxidized was tested to be 99.1%. The proposed method was used in the simultaneous determination of Cr(VI) and Cr(III) in water samples, and the error was less than 3%.

PurposeTo address the problem of how to guide and promote health knowledge adoption, based on online diabetes communities, this study explores the impact mechanism of social support on users' individual health knowledge adoption to provide insights for online diabetes community management and personal health management.Design/methodology/approachIntegrating the theories of cognitive-affective personality system (CAPS) and social support, this study constructs a theoretical model, collects data through a questionnaire and uses a structural equation model to analyse 356 data.FindingsThe results show that: (1) Considering the online diabetes communities, it is reasonable to divide social support into emotional, information, network and respect support. (2) Social support affects individual health knowledge adoption through the intermediaries of knowledge argument quality, knowledge source credibility and positive emotions. (3) The order of the mediating effect of cognitive and emotional factors between social support and health knowledge adoption is knowledge argument quality > knowledge source credibility > positive emotions and rationality > sensibility. (4) Users pay more attention to the source credibility of professional health knowledge than that of experiential health knowledge.Originality/valueThis research expands the application scope of CAPS and opens the “black box” of the impact of social support on individual health knowledge adoption behaviour. Simultaneously, the dimensions of social support and the mediating effect between social support and the two types of health knowledge are discussed.

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