An analysis of job dissatisfaction and turnover to reduce global supply chain risk: Evidence from China

Suppliers’ labor problems in developing countries have emerged as a key risk in global supply chains. In China's coastal industrial zones, where most Fortune 500 companies have established their manufacturing bases, local suppliers are facing serious labor turnover problems. High labor turnover rates have caused poor quality, low productivity, and unfilled orders in supply chains. Applying a combination of quantitative techniques to determine the reasons why workers leave China's export factories, this research tries to identify the root causes of job dissatisfaction leading to turnover and provides managerial implications that may assist managers in dealing with labor-related supply chain risks.     

The effects of technological turbulence and breadth on supply chain technology acceptance and adoption

The current empirical study examines the intention to use and subsequent implementation of a supply chain technology. Specifically, the authors extend the technology acceptance model (TAM) to incorporate the state of the technology environment (technological turbulence) and the extent to which other supply chain technologies have already been adopted by the firm (technological breadth). A series of seemingly unrelated regressions (SUR) were used to analyze survey data from 195 respondents. The results show that in technologically turbulent environments, the relationships between the firm's perceived usefulness and ease of use and the firm's intention to use a supply chain technology are stronger. The study also finds that the relationship between the firm's intention to use a supply chain technology and the implementation of the technology is weaker in firms with greater technological breadth.