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Globally, many enterprises are currently focusing on big data technology to improve their performance and operations. Recent literature points out several factors that influence the adoption of big data. However, enterprises often resist using the business value of big data due to a lack of knowledge. The purpose of this study is to investigate the factors influencing big data adoption by Chinese enterprises and to develop an indicator system based on the Motivation–Opportunity–Ability (MOA) model. Moreover, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to construct a network relationship map and to analyze its effects. Using the DEMATEL-based Analytic Network Process (ANP) (DANP) method to identify the weight distribution of index, this study quantitatively evaluates the influencing factors. The results show that leadership support, perceived usefulness, financial support, data resources, industrial development, data talents, and technical capability are key elements affecting the application of big data. Accordingly, some targeted suggestions are proposed.

Disinfection is commonly employed in recirculating mariculture systems (RMS) to control animal diseases and improve seawater quality; however, little is known about the occurrence of disinfection byproducts (DBPs) formed in such RMS. Beijing Aquarium is a typical RMS with artificially prepared seawater and mainly adopts a decentralized treatment strategy for different animal tanks, including sand filtration, foam fractionation, and disinfection (O 3 , UV, and O 3 /ClO 2 ). This study reveals that the adopted disinfection processes were highly effective in controlling marine heterotrophic bacteria; however, some concerns were raised on the formation of various kinds of DBPs, including secondary oxidants, inorganic oxyanions, and hazardous organic species. Free chlorine and free bromine were generated from ozonation at health-relevant concentrations. High concentrations of Environmental impactRecirculating mariculture systems (RMS) have been widely employed in marine aquaria around the world. Hazardous disinfection byproducts (DBPs) formed during the seawater treatment of RMS has been neglected for a long time. This study investigated the formation of various kinds of DBPs (i.e., secondary oxidants, inorganic oxyanions, and hazardous organic species) in animal tanks of a typical RMS, which raised serious concerns on the health threats of the detected DBPs to aquarium animals. To solve these problems, potential control measures for DBPs are proposed. This study provides useful and timely information to the mariculture industry regarding the occurrence and control of DBPs.

Continuous enhancements of the intelligence of electronic products can lead to the homogenization of products and innovation of offline experiential marketing modes. The diversified development of brand sales channels is inevitable, to fulfill the diversified shopping demands of consumers. Based on 226 valid questionnaires, this study conducts empirical research with SPSS and AMOS to examine the impact of experience characteristics on consumer brand identity and brand loyalty. Then, the fanship consumer attribute is added to conduct path-moderating analysis. The results illustrated the following: (a) consumers act and relate experiences, which affects brand cognitive identity; thinking, acting, and relating experiences positively affect brands’ emotional identity; (b) cognitive identity and emotional identity can jointly create brand loyalty, and play a partial mediating role between offline experience and brand loyalty. Finally, the higher the fanship, the higher the consumer identity and the higher the brand loyalty. Overall, this study provides a certain basis for decision-making and suggestions for the offline operation of electronic brands.