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The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road.

A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain.

The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain.

Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis.

This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.

This paper examines the comparative corporate performance of logistics companies in Korea, China and Japan. Based on the annual data from the listed companies, the growth rate of Chinese companies has surpassed that of Korean and Japanese companies and has labeled China as the fastest growing economy. How ever, labor efficiency of Chinese firms when calculated by total revenue per employee is the lowest of the three countries. In addition, the profitability of Chinese multimodal logistics companies and sea transport companies is also lower than that of Korea and Japan.

Using Data Envelop Analysis(DEA), the primary results regarding corporate efficiency among Korean, Chinese and Japanese logistic companies are as follows: In the multimodal industries, Japanese firms have revealed the highest level of efficiency, with Korean firms coming in second, and Chinese firms ranking third with distinctly inferior performance. This trend has also been examined in the maritime industries, in which the efficiency levels have been deteriorating continuously. However, in the air transportation industry Chinese companies revealed the highest level of efficiency, which resulted from the business characteristics of the government supported conglomerate companies.

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 aim of the paper is to identify the determinants of the marketing and managerial knowledge transfer from a foreign subsidiary located in a post-transition country to its headquarters established in a developed country.

The authors combined the critical literature studies and empirical research, where the method of Computer-assisted Telephone Interview (CATI) was applied. The empirical data was gathered from 231 manufacturing foreign subsidiaries established in Poland (as one of the post-transition economy). To test the hypotheses logistic regression was applied.

The knowledge accumulated in the foreign subsidiary, the amount and level of novelty of innovation in the foreign subsidiary and its strategic autonomy is crucial for the occurrence of the reverse knowledge transfer. However, the more powerful the foreign subsidiary is, the less eager it is to transfer marketing and managerial knowledge to the headquarters.

The study is concentrated just on the manufacturing sector in the Polish economy. The results are based on the opinions and perception of managers, but they represent the corporate perspective (not their individual ones).

The study provokes asking the question about the proper level of strategic autonomy of a foreign subsidiary. The implication related to the autonomy is much about the proper strategy for human resources management. The obtained results indicate that the intensity of innovation in a foreign subsidiary “translates” to the outflow of knowledge from a foreign subsidiary to its headquarters. Thus, encourages headquarters to let their subsidiaries innovate still monitoring their power.

FSs are entities more or less embedded in the host markets, thus their strength and sustainable existence is important for their stakeholders, in particular – internal entities such as employees and external entities such as suppliers, and other cooperating organisations and institutions in the host market. The contribution of FSs to the innovation performance and knowledge pool of external partners is determined much by their absorptive capacity. Thus, the results obtained indirectly point to the importance of external agents ability to absorb and exploit the knowledge.

The originality of the paper concerns three issues. Firstly, the previous studies are mainly focused on either developed or emerging markets and as a result, the peculiarity of post-transition economies, like Poland has been neglected. Secondly, the determinants of reverse knowledge transfer are presented from the corporate perspective. Thirdly, authors focus on marketing and management knowledge distributed from a foreign subsidiary to its headquarter.

This study aims to develop an experimentally validated three-dimensional numerical model for predicting different flow patterns produced with a gas dynamic virtual nozzle (GDVN).

The physical model is posed in the mixture formulation and copes with the unsteady, incompressible, isothermal, Newtonian, low turbulent two-phase flow. The computational fluid dynamics numerical solution is based on the half-space finite volume discretisation. The geo-reconstruct volume-of-fluid scheme tracks the interphase boundary between the gas and the liquid. To ensure numerical stability in the transition regime and adequately account for turbulent behaviour, the k-ω shear stress transport turbulence model is used. The model is validated by comparison with the experimental measurements on a vertical, downward-positioned GDVN configuration. Three different combinations of air and water volumetric flow rates have been solved numerically in the range of Reynolds numbers for airflow 1,009–2,596 and water 61–133, respectively, at Weber numbers 1.2–6.2.

The half-space symmetry allows the numerical reconstruction of the dripping, jetting and indication of the whipping mode. The kinetic energy transfer from the gas to the liquid is analysed, and locations with locally increased gas kinetic energy are observed. The calculated jet shapes reasonably well match the experimentally obtained high-speed camera videos.

The model is used for the virtual studies of new GDVN nozzle designs and optimisation of their operation.

To the best of the authors’ knowledge, the developed model numerically reconstructs all three GDVN flow regimes for the first time.