Effects of Partnership Quality and Information Sharing on Express Delivery Service Performance in the E-commerce Industry

The impact of factors on information sharing: An application of meta-analysis

BACKGROUND

Information sharing plays a key role in supply chain performance. According to previous individual studies, technology, trust, commitment, and uncertainty are four potential factors affecting information sharing. However, most studies focus on testing a positive relationship between each factor and information sharing. Therefore, it is necessary to evaluate the effect of each factor on information sharing.

OBJECTIVE

To determine the accurate effect of factors on sharing information and propose key factors to support decision-makers in improving their information sharing.

DATA

Correlation coefficients between factors are collected from 41 individual studies with a total of 8,983 samples on Google Scholar.

METHODS

Using the rank correlation test and Egger's regression test to test publication bias. The meta-analysis method is used to perform analysis models, including fixed-effect, random-effect, and Hunter and Schmidt methods.

RESULTS

Commitment plays the most important role in information sharing when compared to technology, trust, and uncertainty. Commitment accounts for 19% in the Hunter and Schmidt method and 22% in both fixed-effect and random-effect models. In addition, the result indicates that there are around 50% of other factors that affect the efficiency of sharing information besides four factors in our studies.

CONCLUSION

Technology, trust, and commitment significantly affect information sharing, of which the impact of commitment on information sharing is strongest and should be a priority in improving the effectiveness of information sharing. Our study contributes two findings to literature in the field of supply chain information sharing: 1) certain confirming the important role of commitment on sharing information, and 2) the necessity of considering other factors besides these four elements.

Risk Assessment of Express Delivery Service Failures in China: An Improved Failure Mode and Effects Analysis Approach

With the rapid growth of express delivery industry, service failure has become an increasingly pressing issue. However, there is a lack of research on express service failure risk assessment within the Failure Mode and Effects Analysis (FMEA) framework. To address the research gap, we propose an improved FMEA approach based on integrating the uncertainty reasoning cloud model and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The cloud model describing randomness and fuzziness in uncertainty environment is adopted to achieve the transformation between the qualitative semantic evaluation of occurrence (O), severity (S), and detection (D) risk factors of FMEA and the quantitative instantiation and set up the comprehensive cloud of risk assessment matrix for express delivery service failure (EDSF). The TOPSIS method calculates and ranks the relative closeness coefficients of EDSF mode. Finally, the rationality and applicability of the proposed method are demonstrated by an empirical study for the express delivery service in China. It is found that among 18 express delivery service failure modes, six service failure modes with high risk are mainly located in the processing and delivery stages, while six service failures with the relatively low risk are involved in the picking-up and transportation stages. This study provides insight on how to explore the risk evaluation of express delivery service failure, and it helps express delivery firms to identify the key service failure points, develop the corresponding service remedy measures, reduce the loss from service failures, and improve the service quality.

The Perspective of E-Business Sustainability and Website Accessibility of Online Stores

E-commerce’s latest trends, highlighted by the global phenomena of the COVID-19 pandemic, explicitly show substantial changes in the online consumers’ behavior as well. More and more specialists are talking about the emergence of a new paradigm in consumption, and of possible evolutions toward sustainable consumption. The purpose of this research is to investigate how the antecedents of e-loyalty have changed their effect on consumer attitudes and perceptions of e-commerce sites. The results, obtained through a structural model of 523 validated questionnaires of Romanian consumers of electronic and household appliances, show the importance of the effect of website accessibility, a factor that, until recently, exerted an influence mediated by other elements grouped either under the umbrella of site quality or site design. The model validated after the analysis shows the direct effect of the accessibility of the websites on e-loyalty, satisfaction and trust of the consumers. Based on the results, the value of this study lies in the fact that it presents arguments on how the boost of e-commerce systems leads to sales processes’ sustainability improvement and, to the same extent, the improvement of the ways for reporting sustainability using IT tools (online databases with customers, software integrated into e-commerce platforms, electronic financial management).