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While supply chain scholars concur on the need to integrate supply chain finance (SCF) processes to meet ever-changing customer demands, it is unclear how SCF influences business performance in the presence of perceived opportunistic behavior. Therefore, the study aims to investigate the moderating role of perceived partner opportunism in the supply chain.

Drawing on the dynamic capability theory (DCT), this study investigates how perceived supply chain partner opportunism moderates the mediating role of supply- and demand-oriented performances on the link between SCF and business performance, from the retail industry perspective. Data was collected from Australian retailing firms. In all, 293 completed surveys were received. Moderated mediation analysis was conducted.

The results of this study indicate that supply- and demand-oriented performances serially mediate the relationship between SCF and business performance. The study also found that the effect of SCF on performance was higher when perceived partner opportunism was lower.

To respond to changes in consumer preferences and demand effectively, supply chain and marketing managers need to understand the complex interaction between supply- and demand-oriented performances and the key role of SCF in developing such capabilities.

The current study theorizes and demonstrates the effects of supply- and demand-oriented performances that can facilitate the effects of SCF on business performance. Also, the study reveals the effect of each dimension of SCF (accounts payable, accounts receivable and inventory finance) on supply- and demand-oriented performances. Additionally, the study shows the key role of perceived partner opportunism in supply chain management.

The purpose of this paper is to analyze how path dependence in the evolution of major theories of foreign direct investment (FDI) locked in a theoretical perspective of the multinational enterprise that focused on asset-exploitation. This perspective is challenged by recent contradicting observations of multinationals from China and other emerging economies. A decisive re-orientation of FDI theory is proposed as a way forward to resolve this tension.

Placing FDI theories into the context of FDI patterns prevailing at the time they were developed, Thomas Kuhn’s framework on the evolution of scientific knowledge is employed to track how the mainstream FDI theory emerged, went through a period of normal science and then approached a crisis of science in this field.

The evolution of FDI theory is strongly path-dependent, which made it difficult for theory to effectively incorporate new conceptual discoveries and empirical findings about the nature of FDI activity.

FDI theory would benefit from a full re-orientation to a demand-oriented perspective which places the pursuit of advantages, assets, resources, etc., at the core of the theory. Such a change is implicit in many recent theoretical advances and would assure theory is generalizable to all types of FDI.

This paper aims to study the node modeling, multi-agent architecture and addressing method for the material conscious information network (MCIN), which is a large-scaled, open-styled, self-organized and ecological intelligent network of supply–demand relationships.

This study models the MCIN by node model definition, multi-agent architecture design and addressing method presentation.

The prototype of novel E-commerce platform based on the MCIN shows the effectiveness and soundness of the MCIN modeling. By comparing to current internet, the authors also find that the MCIN has the advantages of socialization, information integration, collective intelligence, traceability, high robustness, unification of producing and consuming, high scalability and decentralization.

Leveraging the dimensions of structure, character, knowledge and experience, a modeling approach of the basic information can fit all kinds of the MCIN nodes. With the double chain structure for both basic and supply–demand information, the MCIN nodes can be modeled comprehensively. The anima-desire-intention-based multi-agent architecture makes the federated agents of the MCIN nodes self-organized and intelligent. The MCIN nodes can be efficiently addressed by the supply–demand-oriented method. However, the implementation of the MCIN is still in process.

This paper lays the theoretical foundation for the future networked system of supply–demand relationship and the novel E-commerce platform.

The authors believe that the MCIN, first proposed in this paper, is a transformational innovation which facilitates the infrastructure of the future networked system of supply–demand relationship.

Adaptive slicing is a key step in 3D printing as it is closely related to the building time and the surface quality. This study aims to develop an adaptive layering algorithm that can coordinate the optimization of printing quality and efficiency to meet different printing needs.

A multiobjective optimization model is established for printing quality, printing time and layer height based on the variation of surface features, profile slope and curvature of the model. The optimal solution is found by an improved method combining Newton's method and gradient method and adapts to different printing requirements by adjusting the parameter thresholds.

Several benchmarks are applied to verify this new method. The proposed method has also been compared with the uniform layering method, it reduces the volume error by 46.4% and shortens the printing time by 28.1% and is compared with five existing adaptive layering methods to demonstrate its superior performance.

Compared with other methods with only one layered result, this method is a demand-oriented algorithm that can obtain different results according to different needs and it can reach a trade-off between the building time and the surface quality.

China’s globalizing Internet describes a situation where China is using the Internet as a tool or medium to transmit its voice on the world stage and enhance its influence over the global Internet governance system and the global digitalization process. Several concerns, however, exist regarding China’s globalizing Internet strategies. This paper aims to respond to these concerns and enhance the understanding of China’s globalizing Internet strategies.

This paper will use content analysis to trace the policy development trajectory of China’s globalizing Internet, including policy vision, policy-making agencies and policy tools.

The Chinese government has issued a considerable number of policies to regulate and promote the development of the Internet since 2014. The key trend that emerged from the analysis of China’s globalizing Internet policy is the cooperation among different agencies. Existing policies have comprehensively used the supply-oriented tools, the environment-oriented tools and the demand-oriented tools; and the last two tools have been used more frequently in recent years.

The analysis results contribute to understanding how China uses digital technology to enhance its influence over the global Internet governance system.

This study aims to investigate a reliability-level demand-oriented pharmaceutical supply chain design with maximal anticipated demand coverage. Different hospitals with the particular reliability value associated with the various pharmaceutical items (PIs) are considered. An inter-connected multi-period supply chain comprising manufacturers, distribution centers, hospitals and patients is assumed for the smooth flow of health-care items, enhancing supply chain reliability. A reliability index for PIs is depicted to highlight product preference and facilitate hospitals’ service levels for patients.

A mixed-integer multi-objective programming problem that maximizes maximal demand coverage minimizes the total economic costs and pharmaceutical delivery time is depicted under intuitionistic fuzzy uncertainty. Further, a novel interactive neutrosophic programming approach is developed to solve the proposed pharmaceutical supply chain management (PSCM) model. Each objective’s marginal evaluation is elicited by various sorts of membership functions such as linear, exponential and hyperbolic types of membership functions and depicted the truth, indeterminacy and falsity membership degrees under a neutrosophic environment.

The proposed PSCM model is implemented on a real case study and solved using an interactive neutrosophic programming approach that reveals the proposed methods’ validity and applicability. An ample opportunity to generate the compromise solution is suggested by tuning various parameters. The outcomes are evaluated with practical managerial implications based on the significant findings. Finally, conclusions and future research scope are addressed based on the proposed work.

The propounded study has some limitations that can be addressed in future research. The discussed PSCM model can be merged with and extended by considering environmental factors such as the health-care waste management system, which is not included in this study. Uncertainty among parameters due to randomness can be incorporated and can be tackled with historical data. Besides, proposed interactive neutrosophic programming approach (INPA), various metaheuristic approaches may be applied to solve the proposed PSCM model as a future research scope.

The strategy advised is to provide an opportunity to create supply chains and manufacturing within India by helping existing manufacturers to expand, identifying new manufacturers, hand-holding and facilitating, teams of officers, engineers and scientists deployed and import only if necessary to meet timelines. Thus, any pharmaceutical company or organization can adopt the production and distribution management initiatives amongst hospitals to strengthen and enable the pharmaceutical company while fighting fatal diseases during emergencies. Finally, managers or policy-makers can take advantage of the current study and extract fruitful pieces of information and knowledge regarding the optimal production and distribution strategies while making decisions.

This research work manifests the demand-oriented extension of the integrated PSCM design with maximum expected coverage, where different hospitals with pre-determined reliability values for various PIs are taken into consideration. The practical managerial implications are explored that immensely support the managers or practitioners to adopt the production and distribution policies for the PIs to ensure the sustainability in supply chain design.

Information-sharing and flexibility are considered to be major tools for risk mitigation and supply chain resiliency. However, less light has been shed on the role of information-sharing as an enabler to utilize flexibility capabilities before and after supply chain disruptions. The aim of this paper is to provide indications on how digitalized information-sharing (DIS) enhances flexibility capability utilization.

The methodology follows a qualitative approach, including 31 transcribed semi-structured interviews with supply chain experts in Germany and Japan.

The findings indicate that DIS supports flexibility capability utilization in pre- and post-disruptive supply chain management. First, the enhancement of estimated transport time accuracy supports rapid supplier and transport mode adjustment. Second, while the effects of DIS in manufacturing are limited without pre-existing flexibility capabilities, steady internal and external DIS utilizes exciting manufacturing flexibility to cope with disruptions beyond production. Third, track and trace technologies enhance the value of shared data and allow flexibility in the form of demand-oriented distribution, but companies unable to adopt technologies can still enhance flexibility capabilities with DIS using the existing infrastructure.

This paper highlights the essential role of digital information-sharing for flexibility utilization in supply chain risk management. While existing studies engaged with flexibility and information-sharing in supply chain risk management, this study contributes by emphasizing digital information-sharing as a key triggering enabler for flexibility in pre- and post-disruptive phases.

The purpose of this paper is to discuss the actual state of demand chain management compared with its promises of a few years ago.

The most important literature on demand chain management of recent years is confronted with recent findings on strategies of the main supply and demand‐oriented firms in the fashion industry and on consumer behaviour.

Following Hoover et al. the demand chain is defined as “the chain of activities that communicates demand from markets to suppliers”. In this paper some interesting contributions to this debates are reviewed. Then, on the basis of remaining problems in the fashion industry in the realm of failing customer satisfaction, questions whether the promise of demand chain is not a consequence of shortcomings in the field of marketing – which apparently has moved too much into the direction of strategic positioning and information push instead of market research.

Even when some of the most interesting approaches to demand chain management and key developments in the industry are confronted with one another, these selections cannot claim to be exhaustive.

The conclusion, proposing to concentrate on efficient supply chain management, on the one hand, and better understanding consumers, on the other hand, helps fashion firms to focus their attention more clearly.

No such overview and confrontation, as presented in this article, existed until now. Also, the view that demand chain management in a way tries to fill the gaps left by market research sheds new light on these discussions.

The paper seeks to delineate the emergence of demand chain management (DCM) from a theoretical perspective and to illustrate its occurrence in practice.

The DCM concept is examined empirically through a case study with retailers involved in the beef chain in the state of Rio Grande do Sul (Brazil).

The paper reveals that the DCM concept derives from the supply chain management (SCM) concept, but with a strong emphasis on demand management due to the incorporation of the market orientation perspective. In the beef business in the Rio Grande do Sul, two distinct practices were observed: SCM and DCM practice. The SCM practice is tightly related to the traditional beef market, whereas the DCM practice emphasizes understanding customers and the sequential capabilities for responding to their requirements.

By establishing the evolutionary development from SCM to DCM, businesses will certainly gain insights about how to become more responsive, and this will improve effectiveness and yield more delighted customers.

This paper aims to use a lead market approach for each of 25 European Union member states (EU‐25) to assess the likelihood that locally preferred innovation designs in the Energy Production Sector will become successful in other countries. Based on the lead market analysis, it aims to outline implications for innovation management.

The paper identifies and operationalises indicators to measure and compare the lead market properties of the energy production sector at international level. The indicators used are taken from the Community Innovation Surveys, the Eurostat/OECD PPP and Expenditure Database, the UNCTAD FDI‐Database, the EU Business Demography Statistics, and the Eurostat Foreign Trade Database (Comext).

French energy production companies proved the most effective at orienting their product innovations towards the needs of customers in international markets. The companies in other countries within the EU trade on home markets that exhibit barriers to innovation in at least two of the lead market factors. Therefore, the lead market, France, should be the focal point for the development of global innovation designs. By focusing on innovation designs which respond to the preferences within the French lead market, the innovation management of a company can leverage the success experienced in the lead market for the product's global market launch.

Indicator values were not always available for lead market properties of the energy production sector in every member state. This was particularly true when it came to measuring market structure advantage and transfer advantage.

Market research on the lead market takes centre stage when product innovations are in the development phase. Companies in countries that do not have sufficient above‐average lead market attributes must target product innovations to fit the preferences of users in the lead market – in this case, the French clients of the energy production sector. The observation of the lead market can take on varying degrees of intensity. These range from simply making use of listening posts in the lead market to testing and/or launching new products there.

This paper is the first to apply the lead market approach to systematically investigate demand‐specific innovation drivers in the energy production sector. Its consideration of the demand side of innovation is of the utmost interest for the more recent strains of innovation research as well as for innovation management in the energy production sector itself.