Measuring the hedonic and utilitarian sources of consumer attitudes

It has been suggested theoretically that consumer attitudes have distinct hedonic and utilitarian components, and that product categories differ in the extent to which their overall attitudes are derived from these two components. This paper reports three studies that validate measurement scales for these constructs and, using them, show that these two attitude dimensions do seem to exist; are based on different types of product attributes; and are differentially salient across different consumer products and behaviors, in theoretically-consistent ways.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47067/1/11002_2004_Article_BF00436035.pd

Antecedents of SMMA continuance intention in two culturally diverse countries: An empirical examination

The use of social media mobile applications (SMMA) in Asian countries has increased remarkably in the last decade, which demands a better understanding of differences in the adoption of SMMA across cultures, beyond the west. Against this backdrop, the present study developed a research model that incorporates Schwartz’s individual-level values, individual contextual factors, perceived risk and perceived value, and applied it to settings China and Pakistan to better understand continuance intention regarding SMMA in Asian countries. This study specifically examines the role of individual-level values and individual contextual factors in explaining users’ risk perception; the effects of risk perception on perceived value; and, finally, the impact of perceived value on continuance intention regarding SMMA. Our research model holds true for both China and Pakistan. The majority of the proposed relationships were supported by our findings, and we also observed some noteworthy differences during model comparison between both samples. The findings offer suggestions to information system (IS) practitioners and social media marketers considering cross-cultural differences through SMMA use. The authors acknowledge limitations and suggest further research directions to IS scholars

Testing for a unit root under the alternative hypothesis of ARIMA (0, 2, 1)

Showing a dual relationship between ARIMA (0, 2, 1) with parameter θ = -1 and the random walk, a new alternative hypothesis in the form of ARIMA (0, 2, 1) is established in this article for evaluating unit root tests. The power of four methods of testing for a unit root is investigated under the new alternative, using Monte Carlo simulations. The first method testing θ = -1 in second differences and using a new set of critical values suggested by the two authors in finite samples, is the most appropriate from the integration order point of view. The other three methods refer to tests based on t and φ statistics introduced by Dickey and Fuller, as well as, the nonparametric Phillips-Perron test. Additionally, for cases where for the first method a low power is met, we studied the validity of prediction interval for a future value of ARIMA (0, 2, 1) with θ close but greater of -1, using the prediction equation and the error variance of the random walk. Keeping the forecasting horizon short, the coverage of the interval ranged at expected levels, but its average half-length ranged up to four times more than its true value.