College of Management and Economics

About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.

The role of perceived e-health literacy in users’ continuance intention to use mobile healthcare applications: an exploratory empirical study in China

Abstract: In recent years, mobile healthcare applications (MHAs) have boomed, providing several new kinds of health services and methods of information transmission. However, MHA vendors face a significant challenge in attracting users to adopt software continuously. Some recent studies recognized users’ perceived e-health literacy (PEHL) as a critical factor in continuance intention, but its influence was still unclear. In this paper, based on the elaboration likelihood model (ELM), we investigated how the users’ PEHL affects their continuance intention when adopting MHAs. We distributed convenience sample questionnaires by Wechat (similar to WhatsApp) in China, where hundreds of MHAs can be downloaded, and 273 valid samples were collected. The result shows that ELM works well in this model, with six of the eight hypotheses supported. The moderating effect of PEHL is largely significant for the peripheral route but not significant for the central route. The most interesting finding is that, with regard to ...

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding

Abstract: Online donation-based crowdfunding has brought new life to charity by soliciting small monetary contributions from crowd donors to help others in trouble or with dreams. However, a crucial issue for crowdfunding platforms as well as traditional charities is the problem of high donor attrition, i.e., many donors donate only once or very few times within a rather short lifecycle and then leave. Thus, it is an urgent task to analyze the factors of and then further predict the donors behaviors. Especially, we focus on two types of behavioral events, e.g., donation recurrence (whether one donor will make donations at some time slices in the future) and donor retention (whether she will remain on the crowdfunding platform until a future time). However, this problem has not been well explored due to many domain and technical challenges, such as the heterogeneous influence , the relevance of the two types of events , and the censoring phenomenon of retention records . In this paper, we present a focused study on donation recurrence and donor retention with the help of large-scale behavioral data collected from crowdfunding. Specifically, we propose a J oint D eep S urvival model, i.e., JDS, which can integrate heterogeneous features, e.g., donor motives, projects recently donated to, social contacts, to jointly model the donation recurrence and donor retention since these two types of behavioral events are highly relevant. In addition, we model the censoring phenomenon and dependence relations of different behaviors from the survival analysis view by designing multiple innovative constraints and incorporating them into the objective functions. Finally, we conduct extensive analysis and validation experiments with large-scale data collected from Kiva.org . The experimental results clearly demonstrate the effectiveness of our proposed models for analyzing and predicting the donation recurrence and donor retention in crowdfunding.

Effects of risk-aversion on competing shipping lines’ pricing strategies with uncertain demands

Abstract: Container shipping is facing severe overcapacity, fierce price-based competition and high demand uncertainty. It is natural that some shipping lines may adopt a risk-aversion attitude in their pricing strategies. This paper considers the pricing strategies of two competing ocean carriers facing uncertain demand. The first carrier is risk-neutral with sufficient capacity, whereas the second carrier is risk-averse with limited capacity. The conditional value at risk (CVaR) is used to measure the risk-averse attitude of the second carrier. A Nash game model is formulated to model the pricing decisions and the equilibrium solution is obtained. We find that the pricing solution takes two forms, which can be determined by a threshold value of carrier 2’s capacity. Under uniformly distributed demand, we show that as the second carrier becomes more risk-averse, both carriers’ optimal prices are decreasing, and the threshold value that determines the pricing strategy is also decreasing. We also analyze the impact of price sensitivity and competition intensity parameters on two carriers’ price decisions under more specific conditions. A necessary and sufficient condition is established to determine whether two carriers’ optimal prices would be positively or negatively affected by the competition intensity parameter. A range of numerical experiments are provided to illustrate the analytical results and explore their validity in more general cases. Moreover, it is shown that the main analytical results in this paper can carry over to the cases when both carriers are risk-averse.

Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China

Abstract: Travel mode choice is critical for analyzing and managing urban traffic in large cities. Traditionally, attitudinal factors including affective, symbolic and instrumental factors are considered to determine mode choice. This study combines the widely-applied attitudinal factors with three low-carbon-related factors: low-carbon awareness, low-carbon knowledge and low-carbon habits, and then investigates the relationship between these factors and the behavior guiding the choice of commuting mode. A questionnaire-based survey was conducted in Beijing, Hangzhou and Jinan. The results of the survey show that low-carbon knowledge and low-carbon habits have direct influence on commuting mode choice, and low-carbon knowledge and instrumental factor are two strongest predictors affecting the choice of commuting mode. Further, great gap exists between behavior intention and actual choice. The results also demonstrate that there are significant differences among the three cities. These findings have some insights on designing policies to promote the usage of public transportation.