2007), which gives marketers insights into which customers are most likely to use specific technologies. Recently, scholars have increasingly considered the role of customer traits in explaining technology usage (Westjohn et al.

These factors relate to the technology, including ease of use and usefulness, and to the consumer, such as sociodemographics (Giebelhausen et al. Studies have frequently examined factors that potentially influence technology usage (Collier and Sherrell 2010 Dabholkar and Bagozzi 2002 SГ¤Г¤ksjГ¤rvi and Samiee 2011). 2015 Parasuraman and Colby 2015 Westjohn et al. Despite increased diffusion of these technologies, marketing research still stresses that customersвЂ™ use of technology is not a given (Claudy et al. These findings enhance managersвЂ™ understanding of how TR influences technology usage.Дuring the last decade, technological advances including mobile commerce, social media, and smartphone technology have impacted nearly every consumerвЂ™s life. Finally, customer age, education, and experience are related to TR. Further, the moderator results suggest that the strength of TRвЂ“technology usage relationships depends on the technology type (hedonic/utilitarian), examined firm characteristics (voluntary/mandatory use firm support), and country context (gross domestic product human development). The results suggest stronger relationships for motivators than for inhibitors, but also that these TR dimensions exert influence through different mediators. We observe strong indirect effects of these dimensions on technology usage through mediators proposed by the qualityвЂ“valueвЂ“satisfaction chain and technology acceptance model. Using data from 193 independent samples extracted from 163 articles reported by 69,263 individuals, we find that TR is best conceptualized as a two-dimensional construct differentiating between motivators (innovativeness, optimism) and inhibitors (insecurity, discomfort). The present meta-analysis advances understanding of TR by reexamining its dimensionality, and investigating mediating mechanisms and moderating influences in the TRвЂ“technology usage relationship. The initial TR construct considers four dimensions-innovativeness, optimism, insecurity, and discomfort-that collectively explain technology usage. This comprehensive meta-analysis makes contributions to understanding the phenomenon of problematic Facebook use and its relation with individual characteristics.The technology readiness (TR) index aims to better understand peopleвЂ™s propensity to embrace and use cutting-edge technologies. Neuroticism and conscientiousness were the most clearly personality traits associated with problematic Facebook use, and the strongest associations observed between problematic Facebook use and motives with internal source and motives with negative valence. Briefly, results showed a small gender effect favoring females and a positive association between problematic Facebook use, time spent online and Internet addiction, whereas a negative association was found with self-esteem. The sample included 56 independent samples with a total of 27,867 participants (59.22% females mean ageвЂЇ=вЂЇ23.94 years ( SDвЂЇ=вЂЇ4.75). The present meta-analysis aimed to summarize the findings of the recent literature on this topic with the aim of understanding the specific features of this phenomenon (that is, its associations with the time spent online and the broader concept of Internet addiction), and the individual characteristics of Facebook users (including gender differences, personality traits, self-esteem levels, and motivations for using Facebook). In recent years, researchers have been showing an increasing interest in the conceptualization of problematic Facebook use, and its associations with individual characteristics.

We used comprehensive meta analysis for