基于订单生产的汽车企业订单交付时间优化研究

汽车市场竞争的核心在于能否为客户提供个性化的产品。按订单生产成为解决这一问题的最可行的方法。文章在介绍订单交付的全过程并分析订单交付过程各阶段存在的延迟的基础上,指出了按订单生产及订单交付中所存在的问题,并给出了相应的对策。     

Analysing customers' reviews and ratings for online food deliveries: A text mining approach

The purpose of this study was to explore the relationship between online reviews and ratings through text mining and empirical techniques. An Indian food delivery portal ( Zomato.com ) was used, where 50 restaurants on Presence Across Nation (PAN) basis were selected through stratified random sampling. A total of 2530 reviews were collected, scrutinized, and analysed. Using the NVivo software for qualitative analysis, seven themes were identified from collected reviews, out of which, the ‘delivery’ theme was explored further for identifying sub-themes. Linear regression modelling was used to identify the variables affecting delivery ratings and sentiment analysis was also performed on the identified sub-themes. Regression results revealed that hygiene and pricing (delivery subthemes) demonstrated lower delivery ratings. These variables can be established as indicators for restaurants and related online food delivery services to build their business model around them. Similarly, negative sentiments were observed in pricing and hygiene sub-themes. Restaurants and online food services can enhance hygiene levels of their food delivery process in order to receive higher delivery ratings. Similarly, pricing of food items can be modified such that customers are not deterred from ordering the items—food and ordering service do not become cost-prohibitive. This study devised a standardized methodology for analysing vast amounts of online user-generated content (UGC). Findings from this study can be extrapolated to other sectors and service industries such as, tourism, cleaning, transportation, hospitals and engineering especially during the pandemic.     

Give your hunger a new option: Understanding consumers' continuous intention to use online food delivery apps using trust transfer theory

The recent growth of online food delivery apps (OFDAs) centralized the restaurant's business in electronic distribution platforms. Recently, a few researchers have attempted to understand consumer behaviour towards using OFDAs. However, various aspects related to the usage of OFDAs have not been explored. Drawing from trust transfer theory, the purpose of this study is to fill this gap by investigating the trust transfer from OFDAs to restaurants and to address the boundary condition of trust transfer by examining the moderating effect of perceived effectiveness of dispute resolution (PEDR) between trust in OFDAs and trust in a restaurant. The model was tested via structural equation modelling (SEM) using data obtained from 836 users of OFDAs through structured questionnaire. The results show that trust in OFDAs positively influence the trust in restaurant, which ultimately leads to the consumers' continuous purchase intention. Further, PEDR positively moderates the relationship between trust in OFDAs and trust in a restaurant. Additionally, disposition to trust and online reviews significantly develops consumer trust in OFDAs. The present research makes substantial theoretical and practical contributions as it develops a trust transfer mechanism by considering an emerging mobile-commerce field. The study provides a first theoretical outlook on consumers' continuous intention to use OFDAs, using trust transfer theory, which has not been considered so far. The findings provide information for food delivery platforms on how to manage conflict resolution to succeed in the market and help restaurants in selecting the most effective food delivery platforms with which to collaborate.     

What drives product involvement and satisfaction with OFDs amid COVID-19?

Online food delivery services (OFDs) have gained the attention of researchers due to the rapid growth of society. With COVID-19 wreaking havoc on markets worldwide, it compelled retailers and service providers to adjust their way of doing business drastically. OFD's emerged as an option either due to consumers' inability to cook, fear of exposure to Covid if they leave the house, monotony of eating home-cooked meals, and safety measures practiced by them. Hence, during this pandemic, the OFDs created a win-win situation for restaurant owners and consumers. However, the current literature does not clearly picture the factors influencing customers' behavioural intentions while using hospitality services in the wake of the COVID-19 pandemic. The primary objective of our study is to understand the factors influencing customer satisfaction during the pandemic. In addition, explore the mediating role of consumer resilience and consumer attitude to strengthen the relationship between product involvement and customer satisfaction in the OFDs context. We have used the social cognitive theory as the theoretical framework for framing our hypotheses. The present study focuses on Indian consumers who have used OFDs during the pandemic. We employed a cross-sectional survey method to test the proposed research model. Two hundred forty valid questionnaires were collected to empirically test the research model using tools like confirmatory factor analysis (CFA) using AMOS-28, direct and indirect relationships were tested using SPSS PROCESS macro. The results indicate that all the proposed hypotheses were supported. Theoretical and Practical implications of the study along with limitations are discussed.     

寡头竞争市场下共同配送定价方法研究

共同配送采用多个企业联合组织起来实施配送活动的方式，其优势越来越受到重视，关于共同配送的理论研究也越来越多，但是对于定价问题还一直是个难题。在前人研究的基础上，引入共同配送服务质量因素，建立寡头竞争市场下共同配送定价模型，并设计粒子群算法，采用帕累托改进方法和总收益最大解方法对模型进行具体求解，得到相关的结论，最后验证了模型和算法的有效性。     

Connecting at the edge: Cycles of commodification and labour control within food delivery platform work in Belgium

In this paper we examine how commodification and labour control unfold within a digital labour platform, focusing on the connections between the platform, its users and workers. Based on a qualitative study covering couriers, clients, restaurants and the management of a food delivery platform in Belgium, we shed light on the complexity of commodification, explaining how the platform simultaneously empowers and disempowers all participants. We illustrate how the platform fosters commodification by granting access to transactions and fuelling competition, while at the same time increasing dependency through withholding information from users and workers. In so doing, we contribute to understanding how platforms exert control and create, extract and capture value by connecting users and workers with each other through the use of digital technology.     

数字化交付模型数据整合路径探讨及优化

为了扩大可接纳建模数据范围，降低投标方的准入门槛，提高项目数字化交付可行性，以某公司数字工厂示范项目为研究对象，积极探索数字化交付模型数据的整合路径。在归纳整理项目涉及的模型数据类型的整合要素、关键节点及主要工具的基础上，制定了整合实施路径中的优化方向和步骤，并根据典型问题针对性地提出了改进优化方案。结果表明：1)实现了PDMS,Revit, SolidWorks, CADWorx, 3DS MAX等近10款主流软件在AVEVA AIM平台的整合，为项目的数字化交付工作打下了基础；2)实施整合后，项目模型数据完整度由70%提升至95%以上，减少大量供应商及部分设计单位进行PDMS翻模的工作，有效提升了总体院的数字化交付水平和平台兼容能力；3)精准运用各类插件和接口、灵活使用二、三维转换工具等措施，可以有效解决大量问题、提高整合效率。研究结果可为数字化交付的模型数据整合优化提供解决方案及思路，并为数字化交付及智能工厂的建设工作提供技术支持。     

Measuring performance: Ranking state success over two decades in India

This paper proposes new composite measures of relative and dynamic state performance to improve governance and delivery of public programs in developing countries with a federal structure. We illustrate the use of the indices to rank the performance of 19 major Indian states on two large development programs launched by the Indian government over the last two decades using publicly available data. Although we find volatility in performance over time, there exists a positive correlation between measures of initial (administrative) state capacity, development and accountability with program outcomes. Our findings have important implications for both the design and implementation of large-scale public programs across developing countries.     

青岛市快递业发展研究

回望“十三五”期间,我国快递行业保持了高增速,快递年业务量更是五年翻两番,稳居世界第一。青岛市快递行业发展迅速,服务能力不断提升,发展环境持续优化,满足了青岛市经济社会发展和服务民生的需要。     

Treat yourself: Food delivery apps and the interplay between justification for use and food well-being

This study examines the relationship between justification for use and well-being in respect to mobile food delivery apps (FDA). Adopting an interpretivist qualitative approach, the study offers contributions to the FDA and food well-being literature by uncovering four groups of licensing effects that consumers use in justifying FDA use. Those licensing effects can have either positive or negative influence on consumers' well-being depending on the degree to which consumers engage in self-regulation, awareness, and conscious managing of their relationship with food. The study also unravels the importance of dealing with the tensions between FDA use and well-being by shedding light on feelings of guilt and financial anxiety related to FDA use.