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The purpose of this paper is to develop an intelligent manufacturing system for transforming production management and operations to an Industry 4.0 manufacturing paradigm.

A manufacturing mode-Graduation Manufacturing System is designed for organizing and controlling production operations. An Industrial Internet of Things (IIoT) and digital twin-enabled Graduation Intelligent Manufacturing System (GiMS) with real-time task allocation and execution mechanisms is proposed to achieve real-time information sharing and production planning, scheduling, execution and control with reduced complexity and uncertainty.

The implementation of GiMS in an industrial company illustrates the potential advantages for real-time production planning, scheduling, execution and control with reduced complexity and uncertainty. For production managers and onsite operators, effective tools, such as cloud services integrates effective production and operations management strategies are needed to facilitate their decision-making and daily operations at the operational level.

This paper presents an Industry 4.0 paradigm-GiMS, which aims to explore Industry 4.0 technologies opportunities on operations and production management, especially on production planning, scheduling, execution and control.

This paper aims to investigate the high-temperature mechanical properties of HS110S steel and its corrosion behaviors in harsh downhole environment.

In this work, mechanical property measurements were carried out from 25°C to 350°C and the scanning electron microscopy was used to observe the fracture morphology. The weight-loss measurements and surface characterization were used to evaluate the corrosion resistance of HS110S steel in harsh downhole environment.

Results show that the yield strength and tensile strength of HS110S steel at 350 °C are 779 and 861 MPa, respectively. Compared with room temperature, the reduction rate values are both less than 20%. At the high-temperature corrosion environment (350 °C), the static and dynamic corrosion rates are 0.9668 and 1.9236 mm/a, respectively. The generated corrosion products are mainly composed of FeSx, FeCO₃ and Fe₃O₄. Therefore, the HS110S steel applied under such conditions needs to take suitable protective measures.

In general, the HS110 steel has widely used in conventional development conditions (e.g. low H₂S or high CO₂ environments). However, to the best of the authors’ knowledge, no studies have reported on its application at more than 250°C. Therefore, this work can be a reference to the application of HS110S steel in high-temperature corrosion conditions.

The purpose of this study is to analyze the performance of indigenous innovation in developing countries in the era of trade liberalization. It analyzes indigenous innovation from research and development (R&D) investments to innovation output and its effect on economic growth.

The sample for this study includes 20 middle-income countries across five continents for the period between 1994 and 2018. The study employs the Crepon Duguet and Mairessec CDM model in a panel data setting to do a multistage analysis of the innovation process. A vector error correction model VECM is employed to test for Granger causality between the variables investigated.

The results show that imports and foreign direct investments (FDI) have generally have short-run and long-run causal effects on domestic R&D investments. In regions where imports and FDI do not have individual causal effects on innovation output, a joint increase in each of them and R&D have both short-run and long-run causal effects. Indigenous innovation is a significant contributor to economic growth when a country can produce and export novel products.

The sample is only limited to developing economies, and due to the unavailability of data, only 20 countries were captured.

Imported products and FDI are critical to the innovation drive when such activities are targeted at enhancing indigenous innovation from R&D to the production of new products. Hence, policy formulation should encourage the absorption of foreign technologies that serve as inputs to indigenous innovation.

This paper focuses specifically on indigenous innovation and analyses the influence of foreign technologies in this effort. It tests the moderating roles of imports and FDI in the relationship between R&D and innovation output, concluding that both variables enhance the effect of R&D on innovation output.

The evolution from emerging technologies to smart libraries is thoroughly analyzed thematically and bibliometrically in this research study, spanning 2013 through 2022. Finding and analyzing the significant changes, patterns and trends in the subject as they are represented in academic papers is the goal of this research.

Using bibliometric methodologies, this study gathered and examined a large corpus of research papers, conference papers and related material from several academic databases.

Starting with Artificial Intelligence (AI), the Internet of Things (IoT), Big Data (BD), Augmentation Reality/Virtual Reality and Blockchain Technology (BT), the study discusses the advent of new technologies and their effects on libraries. Using bibliometric analysis, this study looks at the evolution of publications over time, the geographic distribution of research and the most active institutions and writers in the area. A thematic analysis is also carried out to pinpoint the critical areas of study and trends in emerging technologies and smart libraries. Some emerging themes are information retrieval, personalized recommendations, intelligent data analytics, connected library spaces, real-time information access, augmented reality/virtual reality applications in libraries and strategies, digital literacy and inclusivity.

This study offers a thorough overview of the research environment by combining bibliometric and thematic analysis, illustrating the development of theories and concepts during the last ten years. The results of this study helps in understanding the trends and future research directions in emerging technologies and smart libraries. This study is an excellent source of information for academics, practitioners and policymakers involved in developing and applying cutting-edge technology in library environments.

The authors position security measures and payment culture as key determinants of perceived security (PS) and trust. The purpose of this paper is to empirically investigate how PS and trust affect users’ attitude toward mobile payment use and why mobile payment has developed differently in the USA and in China.

Empirical data were collected from a survey conducted both in China and in the USA. The whole sample consists of 186 Chinese and 196 Americans. Partial least squares analysis was conducted to test the proposed relationships and multigroup comparison analysis was performed to examine the differences in the coefficients of those relationships between Chinese and the US model.

The findings show that payment culture (measured by coverage of mobile payment context (CMPC) and uncertainty avoidance (UA)) and security measures (measured by security technology protection (STP), security rules and policies (SRP), and security responsibility commitment (SRC)) have significantly positive impacts on the PS and trust, except that the positive impact of security on trust is not supported. The impacts of CMPC and PS on trust in the USA are significantly smaller than those in China, whereas the impacts of security measures and UA on PS and trust do not show significant differences between the two countries.

Respondents of this study are selected from young educated population, the major users of mobile payment in 2015. However, recently with the increasing penetration of mobile payment, major mobile payment users are not only limited to young educated population, and thus there may be new findings after extending the range of respondents’ age. Since the research subjects in this study are the mobile payment of China and the USA, the authors could also expect different findings when the research subjects are extended or changed to other countries because of different mobile payment cultures across countries.

Findings in this paper will help mobile payment service providers to know the determinants of their users’ behavior intention and to take measures to improve these determinants, and these findings can also provide mobile payment service providers with insights into the differences in mobile payment use between the two countries and suggestions of measures that they can take to increase users’ attitude toward mobile payment use. Furthermore, the findings of this paper also help these providers globalize efficiently by paying more attention to those antecedents.

The findings in this paper show that there is no difference in the impacts of UA and security measures on PS and trust between China and the USA. However, the impacts of PS and CMPC on trust in China are significantly higher than those in the USA. This is because that globalization has made people from different countries hold similar UA, whereas the CMPC, a construct refers to the business environment of mobile payment, is still very different between China and the USA.

This study extends prior studies of attitude toward mobile payment use through proposing that security measures and payment culture are key determinants of PS and trust and examining the role of PS and trust on the attitude. Furthermore, the empirical findings will not only provide mobile payment service providers with important insights into the differences in mobile payment adoption between the two countries, but also help these providers globalize efficiently by paying more attention to those antecedents.

The purpose of this study is to prolong the service life of the Al–Si alloy cylinder and achieve the objective of energy saving and emission reduction by the composite treatments.

Chemical etching + laser texturing + filled MoS₂ composite treatment was applied to the friction surface of aluminum–silicon (Al–Si) alloy cylinder. The friction coefficient and wear loss were measured to characterize the tribology property of cylinders.

The composite-treated Al–Si alloy cylinder had the lowest friction coefficient and weight loss. The friction coefficient and weight loss of the composite treatment were approximately 27.08% and 54.17% lower than those of the untreated sample, respectively. The laser micro-textures control the release of solid lubricant to the interface of friction pairs slowly, which prolongs the service life of cylinders.

The synergistic effect of the chemical etching + laser texturing + filled MoS2 modified the tribology properties of Al–Si alloy cylinder. The chemical etching raised the silicon particles to bear the load, and laser micro-textures control the release of solid lubricant to improve the lubrication property.

While in common English-language parlance speaking of “online celebrities” encourages the conflation of new forms of famousness with existing discourses on mass media stardom and fandom, the Mandarin Chinese term wanghong, a shorthand term for wangluo hongren (literally “person popular on the internet”), frames the enticing shores of online celebrity through the peculiar lexical domain of a grassroots popularity. The figure of the wanghong has in recent years accompanied the development of social media platforms in China, becoming a profitable profession, an inspirational role model, a morally condemnable by-product of internet economies, and in general a widely debated social phenomenon among local users. Drawing on interviews with more and less successful local online celebrities and discussions with their audiences, this chapter offers an up-to-date portrayal of the various forms of wanghong currently vying for attention on Chinese social media platforms, illustrating how popularity is crafted along with narratives of professionalism and economic aspirations intimately connected to the sociotechnical contexts of contemporary China.

This paper aims to propose a novel method to predict and alleviate feature fatigue. Many products now are loaded with an extensive number of features. Adding more features to one product generally makes the product more attractive on the one hand but, on the other hand, may result in increasing difficulty to use the product. This phenomenon is called “feature fatigue”, which will lead to dissatisfaction and negative word-of-mouth (WOM). Feature fatigue will damage the brand’s long-term profit, and ultimately decrease the manufacturer’s customer equity. Thus, a problem of balancing the benefit of increasing “attractiveness” with the cost of decreasing “usability” exists.

A novel method based on the Bass model is proposed to predict and alleviate feature fatigue. Product capability, usability and WOM effects are integrated into the Bass model to predict the impacts of adding features on customer equity in product development, thus helping designers alleviate feature fatigue. A case study of mobile phone development based on survey data is presented to illustrate and validate the proposed method.

The results of the case study demonstrate that adding more features indeed increases initial sales; however, adding too many features ultimately decreases customer equity due to usability problems. There is an optimal feature combination a product should include to balance product capability with usability. The proposed method makes a trade-off between initial sales and long-term profits to maximize customer equity.

The proposed method can help designers predict the impacts of adding features on customer equity in the early stages of product development. It can provide decision supports for designers to decide what features should be added to maximize customer equity, thus alleviating feature fatigue.

To promote the effective allocation of public sports venues in the county and promote the construction of new urbanization, the allocation of public stadiums in the county was studied under the background of new urbanization. Interviews and literature research methods were adopted. The differences between the new urbanization and the traditional urbanization of the county's public stadiums were discussed. Under the background of new urbanization, the status quo of the allocation of public stadiums in China's counties was studied. Under the background of new urbanization, the problems and influencing factors of the allocation of public stadiums in China's counties were analyzed. The corresponding proposal was put forward. The results showed that the number of county venues in China was greatly improved, but the total amount was still insufficient. The configuration structure was improved, but the structural imbalance was still significant. The way of configuration was innovative, but the government dominated the main position. The configuration policy was constantly improving. The legalization was not perfect. Therefore, the balance between supply and demand, the balance of urban and rural settings, the optimization of public sports venues, and the establishment of public stadiums under new urbanization are important. This will help to promote the study of the allocation of public sports venues in China's counties under the background of new urbanization.

Feature fatigue (FF) will lead to negative Word-Of-Mouth (WOM), which damages the brand’s long-term profit and ultimately decreases the manufacturer’s customer equity (CE). It becomes severer in multi-generation products because of the significant impacts of earlier generation products on the CE of later ones. The purpose of this paper is to alleviate FF, it is imperative for designers to decide what features should be integrated to balance initial revenue and long-term profit so as to maximize CE.

In this paper, a novel method based on the Norton-Bass model is proposed to alleviate FF of multi-generation products to help designers find optimal feature combination that maximizes CE. The authors take the effects of adding features on product capability and usability into account, and integrate product capability, usability, WOM and earlier-generation product’s effects into the Norton-Bass model to predict the impacts of FF on CE in current product development. A case study of a virtual product is presented to illustrate and validate the proposed method.

The advantage of the proposed method is highlighted in the cases of large feature number, high-product complexity (low-product usability) and multi-generation products. The experiments show that the earlier generations do affect the later ones from the perspective of maximizing CE. The superiority of the proposed method compared with the traditional way to put all potential features into a product during the product development is demonstrated. And the more features, the larger CE obtained using the proposed model than the one obtained by traditional way.

Although, there are reports attempting to analyze and alleviate FF, most of these studies still suffer the limitations that cannot point out what features should be added to the product with the objective of maximizing CE. In addition, few studies have been carried out to alleviate FF of multi-generation products. A novel method based on the Norton-Bass model and a genetic algorithm is proposed to alleviate FF of multi-generation products to help designers find optimal feature combination that maximizes CE.