The partial least squares (PLS) approach to structural equation modeling (SEM) has been widely adopted in business research fields such as information systems, consumer behavior, and marketing. The ...use of PLS in the field of operations management is also growing. However, questions still exist among some operations management researchers regarding whether and how PLS should be used. To address these questions, our study provides a practical guideline for using PLS and uses examples from the operations management literature to demonstrate how the specific points in this guideline can be applied. In addition, our study reviews and summarizes the use of PLS in the recent operations management literature according to our guideline. The main contribution of this study is to present a practical guideline for evaluating and using PLS that is tailored to the operations management field.
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FZAB, GIS, IJS, IMTLJ, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
This study proposes and tests an integrative model to examine the relations among service quality, value, image, satisfaction, and loyalty in China. Analysis of survey data from 118 customers of a ...Chinese mobile communications company reveals that service quality directly influences both perceived value and image perceptions, that value and image influence satisfaction, that corporate image influences value, and that both customer satisfaction and value are significant determinants of loyalty. Thus, value has both a direct and indirect (through satisfaction) impact on customer loyalty. Other variables mediate the impact of both service quality and corporate image on customer loyalty.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Airlines select a group of strategic freight forwarders as their partners to retain an information advantage and maintain stable sources of air cargo. Cargo supply disruption is a critical factor for ...airlines when they select freight forwarders. In the present study, we propose a distributional robust model to select freight forwarders under supply disruptions, which allows cargo supply disruptions to be correlated. We first analyze the structural properties of the model and then reformulate it into a tractable form. In a real-world case study, the decision model is executed in the air cargo service chain, which consists of six flights and dozens of forwarders. The case study illustrates how our approach is used by the airline to identify reliable freight forwarders in the service chain and provide comprehensive forwarder selection strategies. We also illustrate the comparative advantages of our new approach over traditional methods: the forwarder selection strategy is capable of considering the bargaining power of freight forwarders and computational efficiency. Given these advantages, this new distributional robust optimization model can serve as a promising approach for solving freight forwarder selection problems.
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CEKLJ, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
We use a newsvendor model to investigate equilibrium contracting strategies and their impact on the members in two competing supply chains that are subject to inventory inaccuracy. The suppliers are ...Stackelberg leaders and can choose either a wholesale-price contract or consignment contract. As a result, we analyze three cases: the wholesale price contract case, consignment contract case, and hybrid contract case. We first analytically derive the optimal outcomes of each case and then analyze the equilibrium behaviors of suppliers and retailers under both symmetric and asymmetric settings. Our results show that the consignment contract is no longer the dominant strategy for dominant suppliers when inventory inaccuracy is considered, even though it is considered as the channel-coordinating contract format in the traditional supply chain. Specifically, in the symmetric case, the wholesale price contract is the equilibrium contracting strategy when inventory inaccuracy is below a certain threshold. In the asymmetric case, the hybrid scenario occurs when the high-cost supplier chooses the wholesale price contract, and the low-cost supplier chooses the consignment contract when inventory inaccuracy is less than a certain value. Furthermore, our results demonstrate that the threshold point of inventory inaccuracy is interrelated with the channel cost-sharing rate and level of chain-to-chain competition between supply chains.
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CEKLJ, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
This study extends quality management from an individual company perspective to a supply chain perspective. We propose a concept of supply chain quality integration (SCQI) that consists of internal, ...supplier, and customer integration for quality improvement, and develop a model that specifies the relationships among competitive hostility, the organization-wide approach to quality, three types of SCQI, and quality-related performance. We test the model using data collected from 291 high-performance manufacturing plants from ten countries. The results indicate that competitive hostility has a positive effect on the organization-wide approach to quality, and that both have positive effects on SCQI. In addition, internal quality integration significantly enhances external quality integration with both suppliers and customers. Further, internal quality integration significantly improves all quality-related performance (i.e., product quality, cost, delivery, and flexibility), and both supplier and customer quality integration significantly improve cost performance. Whereas customer quality integration significantly improves delivery performance and supplier quality integration significantly improves quality performance, only internal quality integration can improve flexibility performance. The findings reveal how different types of SCQI are related to quality-related performance and highlight internal quality integration as a core strategic resource for quality improvement. As such, they provide important managerial insights for supply chain quality managers to improve quality-related performance.
Many studies have examined the impact of economic fundamentals on the financial market, but few have explored how financial market information affects the real economy. In this paper, we examine the ...effects of stock price informativeness on firms’ total factor productivity (TFP) using panel data of Chinese listed manufacturing firms over the period 2007 to 2017. Specifically, we use stock price nonsynchronicity to measure stock price informativeness, and real economic activity efficiency is proxied by the listed firms’ total factor productivity estimated by the LP and ACF methods. We find that stock price informativeness is positively associated with firms’ productivity in China. More importantly, we propose two possible mechanisms to intensify the consequences of stock price informativeness and find that operating pressure and financial constraints can positively intensify the relationship between stock price informativeness and firms’ TFP. As financial information is crucial for sustainable and steady economic growth, our research not only helps to reveal how the financial market promotes economic growth but also helps to provide new ideas for managers and policy-makers to alleviate operating pressure and financing constraints.
Our paper investigates how qualified foreign institutional investors (QFII) impact stock liquidity in the Chinese A-share market using data for 2005 to 2019. Contrary to previous findings, we find ...that QFII enhance stock liquidity. Specifically, QFII’s participation is negatively associated with the individual stock illiquidity and positively related to stock trading volume. Moreover, using a step-by-step procedure, we provide evidence that QFII raises stock liquidity by ameliorating information asymmetry. QFII will attract more market attention and improve firm disclosure quality. We address possible endogeneity with fixed effects and instrumental variables, and our findings are robust to self-selection bias, stock market shocks, and alternative explanatory variables.
How macroeconomic risk affects asset prices is an important issue in the academic and industrial fields. This paper measures Chinese financial stress (CFSI) by constructing a new index, and ...empirically verifies the pricing relationship between financial stress and Chinese mutual fund returns. First, we use eight source variables, which are the driving forces of financial market risk and financial stability, from bank, security, and foreign exchange markets, to build a new index representing financial stress. In addition, we estimate mutual funds’ exposure to financial stress and find that the resulting financial stress betas explain a significant proportion of the cross-sectional dispersion in mutual fund returns. Moreover, this result also remains robust when we conduct tests using other macroeconomic indices or control for the Fama–French and Carhart four factors. Hence, we argue that financial stress is a powerful determinant of cross-sectional differences in Chinese mutual fund returns and plays an important role in the sustainable development of financial markets.
Based on the Vector Autoregressive Model (VAR), this paper constructs a contagion complex network of global stock market returns, and uses the Quantile-on-Quantile Regression (QQR) to explore the ...impact of global geopolitical risks on the connectedness of global stock markets. By applying the risk contagion analysis framework, we depict risk contagion and correlation between financial markets in different countries. We also identify the risk contagion characteristics of international financial markets. This paper innovatively introduces the quantile-on-quantile regression method to the study of geopolitical risk. Through the quantile-on-quantile approach, we find that there is an asymmetric relationship between geopolitical risk and the global stock market correlation network. Our conclusions provide some suggestions for policy makers and relevant investors on how to deal with the current high global geopolitical risks. They also provide ideas on how to effectively hedge such risks during asset allocation and policy formulation.
This study investigates two key issues: 1) how internal integration, customer integration, supplier integration, and the interplay among them jointly influence the development of mass customization ...capability (MCC), and 2) how environmental conditions (i.e., demand uncertainty and competitive intensity) moderate the impacts of supply chain integration on this development. Based on the extended resource-based view (ERBV) of the firm and contingency theory, we build a conditional indirect model and test it using a dataset of 289 manufacturers from nine countries. Our results are consistent with the ERBV, showing that internal integration not only has a significant direct effect on MCC, but also plays a central and strategic role in building customer and supplier integration. However, although customer integration is found to improve MCC directly, supplier integration appears to have no significant impact. Finally, internal integration has a positive indirect effect on MCC through customer integration, and this indirect effect is amplified when demand is uncertain and competition is intense.
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