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Literature indicates that global geographic diversification (GD) has mixed effects on a multinational corporation’s (MNC) performances. The purpose of this paper is to examine how an MNC’s GD influences its stock market and financial performances directly and indirectly via operational performance (i.e. changes in inventory levels).

Using firm-level data collected from Compustat database for the period 2000-2011 and estimating a mediating regression model, the authors examine the direct and indirect effects of GD on an MNC’s stock market (Tobin’s q) and financial performances (ROA), with inventory level being a mediator. Additionally, the examination is implemented separately under two economic situations: financial crisis vs without financial crisis.

The results show that GD enhances an MNC’s stock market performance, while deteriorating its financial performance in the presence of a financial crisis. In contrast, GD has little direct impact on an MNC’s stock market and financial performances during periods without financial crisis. The indirect effects of GD are mediated by changes in inventory levels.

This study suggests that MNCs need to carefully weigh the benefits and costs of global strategy obtained through GD. The results also indicate that GD is highly appreciated by the stock market investors during economic downturns and tighter inventory management may further enhance firm values.

This paper is the first empirical research to estimate both direct and indirect effects of GD via inventory in the operations management literature, highlighting the value of GD depending on the different economic situations and echoing the role of operations in implementing GD.

The purpose of this paper is to integrate Modigliani-Miller (MM) theory and stock repurchases strategy to procure a practical concept for capital decision.

No-arbitrage proof model deduction was used in this study. The authors consider corporate tax and funding sources as two crucial factors drawn in the model. The paper derives some propositions by trichotomy property and keeps the key assumptions of MM Capital Structure Theory.

There are two different effects on firm's value through stock repurchases. The positive effect occurs on firm's value through stock repurchases with loan fund. And the negative impact exists on firm's value through stock repurchases with idle fund.

Notably, in the real world there are three limitations with such an arbitrage transaction (Stulz, 2000). The first one is the default risk, and the second one is transaction costs and the last one is the perfect credit market assumption. In the near future, the authors suggest it would be interesting to involve the interest rate factor and contingent tax variable into our model.

On the basis of no arbitrage opportunity, this paper considers both trichotomy property and MM theory. It proves the share repurchase strategy should be financed by borrowing fund. In contrast, share repurchase should not be executed with idle fund because of opportunity cost.

The purpose of this paper is to propose that transportation modal mix in global supply chains is a result of the strategic alignment between industry characteristics and supply chain strategies.

Using annual US trade statistics and manufacturing industry data for the years 2002-2009 between the USA and its top 12 Asian trading partners, this study applies various regression methods to examine key factors associated with the transport modal decision.

The results show that industry characteristics have an impact on the transportation modal mix in global supply chains. Manufacturing industries use more air freight and less ocean freight when facing positive sales surprises, high-monthly demand variation, a high-contribution margin ratio, a high cost of capital, and increased competition.

The findings provide important insights for logistics managers and freight forwarders. While transportation cost remains an important concern, a logistics manager must also consider non-cost factors such as competition, working capital, and demand uncertainties in their modal decisions. Freight forwarders should be supply chain solution providers who consider all of these industry factors and suggest a proper mix of transportation modes for their customers.

This study is among the first efforts to examine the impact of industry characteristics on the transportation modal mix in global supply chains. This study first develops a theoretical framework for the modal choice decision for international transportation movements and then, using an extensive and innovative data set, provides new findings regarding current air freight practices in global supply chains.

Although an important facet of modernist architecture in which function plays a prominent role, building flexibility is not entirely a new concept. Its relevance transcends generations, allowing space and structure to evolve through time. This paper investigates the relationship among main building structures, infill elements, and space by studying examples in ancient Chinese architecture. It reveals the role of building owners, users, and craftsmen from a survey of historical documentation. In studying these examples, it is concluded that craftsmen in ancient China were involved not only during the construction phase but throughout the period of use as well. Thus, in select cases, the relationship between craftsmen and owners or users had been preserved for generations. Finally, this paper suggests potential strategies for the building industry and technology in the move towards sustainable development.

The goal of this chapter is to respond to the theoretical inquiries by scholars who are interested in how the public–private partnership (PPP) models adapt to China’s context where political power dictates economic strategies. We also want to provide suggestions to policy designers who aim to promote a sustainable investment environment for domestic and international investors. We review the literature that explains the upside and downside of PPP projects in contemporary China. (1) We classify the trajectory of PPP evolution into four phases, i.e., emergence, growth, recession and revival. (2) We note that private companies take a disadvantageous position in the partnership compared with governments and state-owned enterprises because of a lack of specialized legislation, unequal competition between private companies and state-owned enterprises and the opposition from the civic society. (3) We identify political risks as the most influential risks. Political risks also lead to the misallocation of other risks between public and private parties that contributes to the high failure rate of China’s PPP projects. Based on these findings, we recommend governments to draft specialized legislation, stabilize the political environment and provide favourable subsidies to local governments to limit the risks involved in PPP projects. We also advise private enterprises and state-owned enterprises to focus on negotiating over task and risk division with governments when they make decisions to participate in PPP projects. This full review of studies on PPP development in China provides reliable recommendations to scholars, governments and enterprises.

This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price.

The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model. The objective is to minimize the total charging cost of the BEB fleet. The charge decision of each BEB at the end of each trip is to be determined. Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule.

This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line. The results show that the total charge cost with the optimized charging schedule is 15.56% lower than the actual total charge cost under given conditions. The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent, which can provide a reference for planning the number of charging piles.

Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.

The literature review aims to facilitate a broader understanding of on-demand service platform operations management and proposes potential research directions for scholars.

This study searches four databases for relevant literature on on-demand service platform operations management and selects 72 papers for this review. According to the research context, the literature can be divided into research on “a single platform” and research on “multiple platforms”. According to the research methods, the literature can be classified into “Mathematical Models”, “Empirical Studies”, “Multiple Methods” and “Literature Review”. Through comparative analysis, we identify research gaps and propose five future research agendas.

This paper proposes five research agendas for future research on on-demand service platform operations management. First, research can be done to combine classic research problems in the field of operations management with platform characteristics. Second, both the dynamic and steady-state issues of on-demand service platforms can be further explored. Third, research employing mathematical models and empirical analysis simultaneously can be more fruitful. Fourth, more research efforts on the various interactions among two or more platforms can be pursued. Last but not least, it is worthwhile to examine new models and paths that have emerged during the latest development of the platform economy.

Through categorizing the literature into two research contexts as well as classifying it according to four research methods, this article clearly shows the research progresses made so far in on-demand service platform operations management and provides future research directions.

The purpose of this paper is to investigate whether and how auditors’ pricing decisions are affected by their clients’ offshore trading activities, which are comprehensively measured through a textual analysis technique.

The authors identified a sample of 32,264 firm-year observations from publicly listed firms in the US during 2004 to 2015. The authors then used multivariate regressions to examine the effect of offshore trading activities on audit fees. In the regression models, the authors also control for a series of factors that are documented to influence audit pricing.

The authors find that offshore trading activities are positively associated with audit fees, suggesting that offshore activities are likely to increase a client firm’s business risk and/or the extent of client complexity. The authors also find that auditors charge higher audit fees only to firms purchasing inputs produced by their own assets overseas but not to firms buying inputs produced by local firms overseas. Moreover, the association between offshore trading activities and audit fees is more pronounced for offshore activities that are in countries with high trading centrality, for Big 4 auditors, or for auditors with industry expertise.

This paper extends the literature on the consequences of offshore activities by providing evidence on how auditors react to offshore activities. Moreover, it contributes to the audit fee literature. Prior studies largely focus on client-level determinants, while this study complements this line of literature by identifying firm’s offshore activities as an important risk indicator, which is perceived by auditors in their pricing decisions. A firm’s offshore activity is unique because the risk implication of the offshore activities depends not only on factors within the firm, but also on factors outside the firm in foreign nations.