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The purpose of this paper is to present the great importance and impact of the virtual intellectual capital (VIC) in the frameworks of digital economics, e-governance and business, e-trading and commerce, virtual organizations and enterprises, and information communication technologies development (based on the comparative case studies of the world, Russian and Armenian economics). These conditions increase the importance of the measurement and assessment of the VIC.

The research findings are obtained through the method of comparative analysis of the complex models of the VIC. The features are studied through measuring and assessing the VIC parameters of virtual representations on the internet. The data are complemented through virtual cluster analysis, a multidimensional statistical procedure that collects data containing information on facility selection. Three cluster groups are used in the study: the clusters of the TNCs and their virtual representations; the clusters of the network of the leading innovation centers and their virtual representations; and the clusters of the leading universities and their virtual representations.

The paper establishes the research findings of the growth forecasts of the IC clusters in the world, Russian and Armenian economic processes. This is extremely important to ensuring sustainable growth of the country’s competitiveness, economy and general welfare. The paper proposes a new model of the virtual national or transnational intellectual capital (VNTIC). The VNTIC model presents three general components: virtual representations of universities, innovation center networks and transnational corporations in global networks. The research findings show that the interactive innovative tools (IIT) can be used for early diagnosis of the world economic and financial processes.

The authors developed for the first time the IIT for measuring and assessing the three intellectual capital components. The paper presents a new approach and a more reliable tool for short-term forecasting at global and national levels based on QI ranking of the VIC clusters of the commercial enterprises, universities and networks of innovation centers.

This paper is dedicated to answer two questions: What is the business model of interactive television (iTV) ad at China’s Spring Festival Gala; and Why the business model of iTV ad creates different commercial values for different firms.

The two questions can be summarized as what and why problems; so, this paper adopts the method of the qualitative case study. For the first question, this paper uses the method of system activity diagram to design the business model. For the second question, this paper proposes a new analytical method – voice, incentive and convenience (VIC) model, which is used to analyze the commercial value of iTV ad. The proposal of VIC model is based on Wang et al.’s Iceberg theory.

The effect of interactive advertising is significantly better than that of traditional advertising, and interactive advertising is becoming the first choice for marketers. The business model innovation of iTV ad brings new business opportunities. In addition, the larger the area of the triangle surrounded by the three elements of VIC, the higher the commercial value of iTV ad.

Current business model studies focus on business model definitions and innovations, whereas the studies on business model evaluation and its influential factors are rare. A new analytical model named VIC is proposed. It explores the effect of VIC on the commercial value of iTV ad and provides a reference for the quantitative empirical analysis. The combination of activity system theory and VIC model contributes to the understanding of the explicit knowledge and tacit knowledge of iTV ad business model. This framework can be used to guide TV stations and stakeholders for business model innovations and optimizations.

The purpose of this paper is to provide a systematic review of the literature on Collaborative Planning, Forecasting and Replenishment (CPFR). The review emphasises the descriptors of CPFR implementation and models, as well as the impact of CPFR and other supply chain collaboration (SCC) initiatives on supply chain (SC) performance.

The systematic review includes 50 full-text papers retrieved from four databases: Emerald, EBSCO, ScienceDirect and Wiley. Rigorous and verifiable keywords, review steps and selection criteria were applied to the database and inter-coders agreement was systematically checked.

There is no consensus regarding the breadth and scope of CPFR configurations. CPFR is context-dependent and varies according to the configuration of the SC. Trust, information-communication technology and the quality of information sharing are main enablers and inhibitors of implementation.

Practitioners will benefit from insights related to the choice of SCC configurations (e.g. number of partners, nature of products and spatial complexity), the importance of trust and empowerment for SCC and the need to outweigh carefully the costs and benefits of specific SCC before implementation.

CPFR, which is considered by many to be the most advanced and the most comprehensive SCC process and has a direct impact upon SC performance. Nonetheless, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this paper provides a better understanding of the role of CPFR as a determinant of SC performance. As an effort to contribute to complete the cycle of theory building based on the literature review, seven propositions for CPFR research are put forward.

The purpose of this research synthesis is to gather and integrate findings on Collaborative Planning Forecast and Replenishment (CPFR) as a business process and as a management practice; and to assemble quantitative evidence of its impact on supply chain (SC) performance.

The researchers independently conducted a systematic review of 629 abstracts and 47 full-text papers. Original keywords were applied to four key electronic databases for operations management and information systems. Rigorous and verifiable selection criteria governed inter-coders reliability, review of steps and exclusion of papers. Resource and dependency-based view of the firm, contingency research and maturity models informed the analysis.

There is not a single “blueprint” for CPFR. Competing models emphasize the need for “trust and confidence” and reliable data systems. The type of products, scope, spatial diversity and number of partners in the network are important contextual variables. Firm resources that are unique and advantages from multiple and reciprocal dependencies are powerful levers. There is no consensus on maturity model and on required investment in data and communication systems.

Practical implications are implementation related: cost-benefit analysis and simulations should precede full-scale collaboration. There is a consensus on starting CPFR small and expanding gradually.

This synthesis applies a rigorous review method and attempts to assemble the dispersed literature in one study, utilizing explanatory operations management and information systems theories.

To comprehend the rationale behind managerial choices that lead companies to implement different types of collaborative planning, forecasting and replenishment (CPFR) collaborations.

Seven case studies of supply networks whose central firms operate in different sectors have been analysed.

Identifies six types of CPFR collaborations, the choice of which can be explained by considering some important contingent factors, such as the CPFR goals, characteristics of the products and markets in which they are sold, supply network's physical and relational structure, and CPFR development stage.

Further research developed in other contexts is necessary to refine the domain of applicability of the research findings. The opportunity to use the relationships found in this research as a managerial tool calls for the testing of research findings within larger samples of firms, representative of a broader range of industries.

Suggests managers how to select the most appropriate action to be taken to implement CPFR, through the analysis of the context in which CPFR should be implemented.

This paper fulfils the need to clarify the reasons why companies decide to implement different types of CPFR collaborations. Moreover, it contributes to the definition of measures for the CPFR concept, and to the advance of substantive research on CPFR. In literature, few authors devote their attention to rigorously defining CPFR variables or proposing relationships among variables and measures.

Drawing on the resource-based view (RBV), this paper aims to analyse the relevance of Industry 4.0 (I4.0) technologies and participation in global value chains (GVC) and the effects of the complementarity between both in the adoption of circular economy (CE) actions by small and medium-sized enterprises (SME).

This paper analysed a large-scale international sample by employing logistic and linear regression models to test the research hypotheses on the effects of I4.0 technologies, GVC participation, and the interaction on CE actions (recycling or reusing materials, reducing the consumption and impact of natural resources, saving energy and/or switching to sustainable energy sources, developing sustainable products or services).

The evidence suggests that I4.0 technologies already represent important resources for CE adoption and SME participating in GVC display a greater likelihood of adopting CE actions. From the perspective of resource complementarity, by interacting the two factors viewed as resources in this article, results may report that adopting I4.0 technologies and simultaneously participating in GVC may turn out detrimental to SME undertaking CE actions, specifically as regards recycling and reusing materials, saving energy or switching to sustainable energy sources and in cases of widely adopting CE practices.

The paper returns novel insights into the adoption of CE practices by presenting evidence that I4.0 technologies and participation in GVC may be successful means for SME seeking to implement CE actions but must be combined carefully. This paper also provides theoretical and practical implications for SME managers, firms participating in GVCs and policy makers, and shedding light on new research avenues.

This paper aims to propose an innovative adaptive control method for lower-limb rehabilitation robots.

Despite carrying out various studies on the subject of rehabilitation robots, the flexibility and stability of the closed-loop control system is still a challenging problem. In the proposed method, surface electromyography (sEMG) and human force-based dual closed-loop control strategy is designed to adaptively control the rehabilitation robots. A motion analysis of human lower limbs is performed by using a wavelet neural network (WNN) to obtain the desired trajectory of patients. In the outer loop, the reference trajectory of the robot is modified by a variable impedance controller (VIC) on the basis of the sEMG and human force. Thenceforward, in the inner loop, a model reference adaptive controller with parameter updating laws based on the Lyapunov stability theory forces the rehabilitation robot to track the reference trajectory.

The experiment results confirm that the trajectory tracking error is efficiently decreased by the VIC and adaptively correct the reference trajectory synchronizing with the patients’ motion intention; the model reference controller is able to outstandingly force the rehabilitation robot to track the reference trajectory. The method proposed in this paper can better the functioning of the rehabilitation robot system and is expandable to other applications of the rehabilitation field.

The proposed approach is interesting for the design of an intelligent control of rehabilitation robots. The main contributions of this paper are: using a WNN to obtain the desired trajectory of patients based on sEMG signal, modifying the reference trajectory by the VIC and using model reference control to force rehabilitation robot to track the reference trajectory.

Presents a theoretical framework for analysing interorganizational collaboration. Argues that Collaborative Planning, Forecasting and Replenishment (CPFR) should be viewed as a general approach to coordination of processes between participants in a supply chain, rather than following a slavish step‐by‐step model, as suggested by the organization Voluntary Inter‐Industry Commerce Standards (VICS). This approach demands a deeper analysis of both integration depth and scope of various collaboration forms. This is done primarily from a theoretical perspective, but supported by an empirical study of Danish companies’ attitudes towards interorganizational collaboration.

The purpose of this paper is to use fundamental models incorporating structural relationships within the firm in a terminal value model for the second stage of a two-stage valuation model utilized to estimate the value of a company.

The innovation is that growth options are identified within the structural relationships and a model capturing the value of the optionality is incorporated in the second stage of the two-stage valuation model.

Significant outcomes are that terminal value is shown to be a large portion of a company’s total value and the price behavior for initial public offerings produced by the model is consistent with the result of empirical studies.

This paper explicitly incorporates growth options in the second stage of a two-stage valuation model for the firm.

The aim of this paper is to provide an overview of contemporary supply‐chain management systems.

The paper highlights the examples of state‐of‐the‐art practice in supply‐chain management, and speculates about where this movement is headed. Some of the collaborative supply chain management products generating the most interest will also be examined.

Collaborative planning, forecasting and replenishment (CPFR) is the most recent prolific management initiative that provides supply chain collaboration and visibility. By following CPFR, companies can dramatically improve supply chain effectiveness with demand planning, synchronized production scheduling, logistic planning, and new product design. CPFR will force suppliers to innovate, building on strong one‐to‐one relationships that will drive smarter ways of doing things. Most companies and industries can benefit from CPFR. However, companies that experience variation in demand, buy or sell a product on a periodic basis, and those that deal in highly differentiated or branded products will benefit the most.

Practitioners can gain first‐hand knowledge of the CPFR model, technology and factors influencing adoption. Practitioners can also find examples of state‐of‐the‐art practice in supply‐chain management, and study some of the collaborative supply chain management products generating the most interest.

The paper is valuable to practitioners interested in implementing CPFR in their organizations.