No abstract

Estrategia para la consolidación del sector logístico en el marco de un mercado digital AgradecimientosAgradecerle primero a Dios, por sus infinitas bondades y poner en mi camino grandes oportunidades, retos y personas que me acompañan en este camino que es la vida.A mi familia: Mis padres, Nelson y Damaris, por su amor incondicional, su ejemplo de vida y apoyarme en cada proyecto que emprendo; a mi novia, Ángela, por su amor, compañía, paciencia y llenarme de ánimos para seguir adelante cuando no doy más; a mis hermanos, Luis Fernando y Carmen Lizeth, por su amor y confianza; a mis sobrinos Daniel Santiago y Lizeth Daniela, por enseñarme a luchar por mis sueños porque siempre habrá alguien que me preguntará si me gusta lo que hago; a mis abuelas, Toribia y Clara, por su amor y oraciones; y a todos los demás por ser un apoyo incondicional.Al profesor Juan Pablo Castrellón Torres, mi director y amigo, por creer incondicionalmente en mí y enseñarme que en este camino que a veces es complicado siempre hay espacio para una risa.A los miembros del grupo de investigación

The Mobile Chronic Disease Management Service (MCDMS) is an emerging medical service for chronic disease prevention and treatment, but limited attention has been paid to the factors that affect users’ intention to adopt the service. Based on the unified theory of acceptance and use of technology 2 and the protection motivation theory, the authors built an MCDMS adoption model. The authors also verified the differentiating age effect on the service adoption intention from experiential distance perspective of the construal level theory. Empirical results showed that the young group focused more on the impact of effort expectancy, whereas the elderly group focused more on performance expectancy, imitating others, and perceived severity. Furthermore, the young group, however, focused more on the impact of perceived vulnerability, and offline medical habits showed no significant influence on either group’s intention to adopt, which were not consistent with the original hypotheses. The findings can aid MCDMS providers in selecting marketing strategies targeted toward different age groups.

No abstract

Background Previously, most studies used 5-star and 1-star ratings to represent reviewers’ positive and negative attitudes, respectively. However, this premise is not always true because individuals’ attitudes have more than one dimension. In particular, given the credence traits of medical service, to build durable physician-patient relationships, patients may rate their physicians with high scores to avoid lowering their physicians’ web-based ratings and help build their physicians’ web-based reputations. Some patients may express complaints only in review texts, resulting in ambivalence, such as conflicting feelings, beliefs, and reactions toward physicians. Thus, web-based rating platforms for medical services may face more ambivalence than platforms for search or experience goods. Objective On the basis of the tripartite model of attitudes and uncertainty reduction theory, this study aims to consider both the numerical rating and sentiment of each web-based review to explore whether there is ambivalence and how ambivalent attitudes influence the helpfulness of web-based reviews. Methods This study collected 114,378 reviews of 3906 physicians on a large physician review website. Then, based on existing literature, we operationalized numerical ratings as the cognitive dimension of attitudes and sentiment in review texts as the affective dimension of attitudes. Several econometric models, including the ordinary least squares model, logistic regression model, and Tobit model, were used to test our research model. Results First, this study confirmed the existence of ambivalence in each web-based review. Then, by measuring ambivalence through the inconsistency between the numerical rating and sentiment for each review, this study found that the ambivalence in different web-based reviews has a different impact on the helpfulness of the reviews. Specifically, for reviews with positive emotional valence, the higher the degree of inconsistency between the numerical rating and sentiment, the greater the helpfulness is (βpositive 1=.046; P<.001). For reviews with negative and neutral emotional valence, the impact is opposite, that is, the higher the degree of inconsistency between the numerical rating and sentiment, the lesser the helpfulness is (βnegative 1=−.059, P<.001; βneutral 1=−.030, P=.22). Considering the traits of the data, the results were also verified using the logistic regression model (θpositive 1=0.056, P=.005; θnegative 1=−0.080, P<.001; θneutral 1=−0.060, P=.03) and Tobit model. Conclusions This study confirmed the existence of ambivalence between the cognitive and affective dimensions in single reviews and found that for reviews with positive emotional valence, the ambivalent attitudes lead to more helpfulness, but for reviews with negative and neutral emotion valence, the ambivalence attitudes lead to less helpfulness. The results contribute to the web-based review literature and inspire a better design for rating mechanisms in review websites to enhance the helpfulness of reviews.