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High-silicon chromium iron (HSCI) has been used in ground grids in southern China, while there was a lack of study on its corrosion behavior in this soil environment. The purpose of this paper is to discover the corrosion of HSCI in acidic and alkaline soil solutions.

The original defects on the HSCI surface were observed using optical microscopy, and the corrosion behavior of the HSCI in the acidic and alkaline soil solutions were jointly detected using electrochemical measurements and scanning electron microscopy/energy dispersive spectrometer.

The results showed the corrosion rates of the HSCI in the acidic and alkaline soil solutions were limited, and the high contents of Cr and Si in matrix was responsible for its high corrosion resistance. The HSCI showed a similar corrosion tendency in the two solutions, while its corrosion rate in the acid soil solution was higher than that in the alkaline soil solution. The corrosion pits on the specimen surface were originated from the original defects in matrix, and the edges of the corrosion pits were more rounded than the original defects after 720 h immersion in the two solutions. The original defects in the HSCI matrix played a significant role in the corrosion process.

The paper discovered the corrosion evolution of HSCI in the acidic and alkaline soil solutions. What is more, the acceleration role of the original defects on the corrosion of the HSCI in the acidic and alkaline soil solutions was discovered in the paper. The results are beneficial for the material selection of ground grid equipment in engineering.

The purpose of this paper is to study the corrosion behavior of Q235 steel in saturated acidic red and yellow soils.

The corrosion behavior of Q235 steel in saturated red and yellow soils was compared by weight-loss, SEM/EDS, 3D ultra-depth microscopy and electrochemical measurements.

R_p of the steel gradually increases and i_corr gradually decreases in both the red and yellow soils with time. The R_p of the steel in the red soil is lower, but its i_corr is higher than that in the yellow soil. The uniform corrosion rate, diameter and density of the corrosion pit on the steel surface in the red soil are greater than those in the yellow soil. Lower pH, higher contents of corrosive anions and high-valence Fe oxides in the red soil are responsible for its higher corrosion rates and local corrosion susceptibility.

This paper investigates the difference in corrosion behavior of carbon steel in saturated acidic red and yellow soils, which can help to understand the mechanism of soil corrosion.

The purpose of this paper is to study the corrosion behavior of Q235 steel in the bentonite-based resistance-reducing agent (RRA) with different infiltration rates of underground water.

The corrosion behavior of the steel in underground water was assessed by weight loss experiment, electrochemical impedance spectroscopy and polarization curve.

The results showed that the corrosion rate of the steel in the RRA pastes was much lower than that in the original acidic soil. The underground water infiltration slightly accelerated the corrosion rate of the steel in the RRA pastes, but the acceleration role is weak. The bentonite-based RRA can be compatibly applied in the acidic soil.

The bentonite-based RRA can significantly reduce the corrosion rate of the steel and is suitable to compatibly apply in the acidic soil.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified that mobile commerce activities can significantly influence firm performance.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study explores key dimensions of mobile commerce activities (MCAs), evaluates their impact on firm performance and examines the role of mobile commerce performance as a mediator and the role of industry competitive intensity as a moderator.

The qualitative research identified 21 principal retailers’ MCAs. A survey involving 172 retail executives was then conducted to examine the structure of MCAs and their impacts on firm performance.

Our findings reveal that the MCAs comprise four dimensions: guidance, connection, in-store conversion and relation. These dimensions jointly impact firm performance through mobile commerce performance, moderated by industry competition.

This study provides a foundational understanding of MCAs. Future research should continue to explore how these dimensions interact.

Retailers can enhance their management of MCA investments by focussing on four key areas: guidance, contact, in-store conversion and relation. By customizing activities and prioritizing those that strengthen customer relationship management within one area, retailers can effectively align their MCA strategies with their specific business context.

The study’s originality lies in identifying and empirically testing the dimensionality of MCAs, emphasizing the role of customer-centric mobile performance and expanding the understanding of MCA value creation.

The purpose of this paper is to analyze and summarize the development of science and technology (S & T) policies in China from a government-driven perspective in chronological order. To develop knowledge-based economy, China enacts a range of S & T policies since “Reform and Open Policy” started in 1978. Furthermore, it investigates the overall effects of these S & T policies on university-industry linkages (UILs).

This paper conducts an analysis framework of S & T policies in historical sequence to explain how government drives UILs to stimulate technological progress and economic growth in China.

More than a site for high-quality workforce education and knowledge spread, universities as an important part of national innovation are required to participate in economic activities. Considering that most Chinese universities are national, S & T policies with particular regard to university technology transfer would be more important and essential. This research finds that S & T policies enacted by government have made critical contributions to UILs in economic transition period, such as improving academic faculty, enhancing university–industry collaborations and supporting university spin-off formation. The experiences of China suggest that government should enact more effective S & T policies in the knowledge-based economy era.

First, universities need to educate high-level human resources that are important for economic growth and social development. Second, universities need to engage in R & D activities and enhance their collaboration with industries, such as consulting services, research contracts with industry, patent licensing and other general knowledge commercial mechanisms. Third, universities also can directly transfer commercial knowledge to start up new businesses by itself or in partnership with industrial sectors. Without doubt, a series of S & T policies or programs enacted by China’s government to drive entrepreneurship continuously played critical role in the UILs over the past 26 years.

This paper is a pioneering work on how S & T policies enacted by government drive UILs to stimulate technological progress in transitional China.

The perception of an inferior learning experience is the main challenge for online learning, which leads to higher dropout rates in online courses. The purpose of this paper focuses on investigating how the multi-dimensional construct of social presence would affect the behavior of online learners.

A conceptual model that describes online learner behaviors is proposed by including the four social presence variables, learning satisfaction and continuance intention, which is examined via the data collected by a survey of 237 online learners from a typical online learning platform in China. The relationships between variables were tested via structural equation modeling.

The results revealed that the intimate and immersive social factors have positive impacts on learning satisfaction, which in turn results in continuous intention in online learning. Thus, online learning platform providers should seriously consider building an intimate and immersive online environment for learners. Furthermore, this research provides a more comprehensive understanding of online learning from a social presence perspective for researchers and practitioners.

The study contributes to a better understanding of the social presence which is conceptualized as a four-dimensional construct, and shows how social factors influence learning satisfaction and continuous intention, providing a deeper understanding of the core relationship between social aspects and learning performance in online learning.

The purpose of this paper is to characterize the optimal ordering and allocation policy for a store replenishment decision in the context of an omnichannel retailer in a franchise network. The authors further show that a myopic policy is optimal, which circumvents the curse of dimensionality for the multi-period inventory model and help store managers optimize their decisions about the amount of inventory to stock for both online and offline demands and the percentage of inventory to reserve for online orders.

This research is trigged by several managerial studies which suggest reserving a certain percentage of the in-store inventory for online orders as a good store inventory allocation practice for omnichannel retailers in a franchise network. The authors used an analytical model to develop this practice by clarifying how store managers can decide on the amount of inventory to replenish and the percentage to reserve for online orders.

This study develops a finite horizon, periodic review inventory model to identify an optimal and dynamic replenishment and allocation policy. The analysis uncovers the system’s fundamental structural property concavity. The research shows that, due to this property, the optimal replenishment policy is a base-stock policy. The latter is due to the base stock level being independent of the initial inventory at hand, and the optimal allocation level being non-decreasing on the base-stock level.

This study contributes to the literature on store inventory management for omnichannel retailers in a franchise network by investigating their optimal store inventory ordering and allocation policy. Nevertheless, the zero-lead time and zero-setup cost assumptions limit the findings.

Insights into an optimal store inventory policy may guide franchisee store managers to decide on the amount of inventory to replenish and the percentage to reserve for online orders.

The originality of this paper lies in its focus on in-store inventory management for omnichannel retailers in a franchise network. The findings are helpful for franchisor retailers to implement the omnichannel strategy at the level of in-store inventory management. Beyond using incentive systems, the franchisor should leverage legitimate powers by mentioning a relevant measure in their contracts with their franchisee to minimize their channel conflicts and ensure their customers have seamless shopping experiences.

This study investigates the role of an augmented reality (AR)-based tool in customers' shopping processes.

Using the stimulus-organism-response (SOR) and consumer decision-making models, this study builds a comprehensive theoretical model that investigates the mechanism sequentially connected AR-enabled shopping tool and customer responses. Décor Matters was chosen as the AR-enabled mobile application for this study. Qualtrics, which conducted the survey, collected 150 responses in the USA. The authors used structural equation model to test the hypotheses.

This study enriches the retail-related AR theory by offering a holistic and structural view of the factors that connect customers' cognitive and affective internal processes with customers' shopping task. However, having used only one type of AR-enabled app in the study, the findings remain limited.

This research advances the understanding of AR's role in the customer shopping process by validating the positive effect of immersion on purchase intention, as well as revealing the mediating effect of decision-making quality and the moderating effect of privacy concerns. However, as only one type of AR-enabled app was used in the study, the findings are still limited.

The findings can help retailers to understand why and how firms can benefit from investing in AR-enabled apps (i.e. by focussing on customer perceived immersion and decision-making quality with AR).

This study's originality lies in the SOR model's extension, which integrates the customer decision-making model, allowing for connecting customers' cognitive and affective internal experiences with their shopping task. The findings can help retail managers to understand more clearly and in-depth why and how AR works in customers' shopping process.

Currently, the issues of cross-channel integration (CCI) have become the attentive focus. However, little research based on institutional theory details the drivers of and obstacles to adopt CCI strategy. Combined with resource-based view (RBV) and institutional theory, this thesis studies the effect of institutional pressures on the manufactures' extent of CCI, through exploring the moderating effects of firm's technology competence and relationship governance capabilities on the relationship between institutional pressures and the extent of CCI.

The survey data of 249 valid research samples were obtained from Chinese manufacturing enterprises. Statistical software such as SPSS 22.0 and AMOS 18.0 was used to analyze the data and test the conceptual model and relevant research hypotheses from an empirical perspective.

The results of empirical study from 249 manufacturers indicate that the mimetic, coercive and normative pressures perceived by enterprises can significantly promote their extent of CCI; relationship governance capabilities attenuate the positive impact of mimetic pressures on the extent of CCI, but strengthen that of normative pressures on the extent of CCI; besides, technology competence can attenuate the positive effect of mimetic pressures on the extent of CCI, but enhance that of normative pressures on the extent of CCI.

Few studied the impact of the interaction of internal capabilities and external institutional pressures on CCI of enterprises. This study combines institutional theory and resource-based view to fill the theoretical gap in this regard.