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Intelligent control for unidentified systems with unstable equilibriums is not always a proper control strategy, which results in inferior performance in many cases. Because of the existing trial and error manner of the procedure in former duration of learning, this exploration for finding the appropriate control signals can lead to instability. However, the recent proposed emotional controllers are capable of learning swiftly; the use of these controllers is not an efficient solution for the mentioned instability problems. Therefore, a solution is needed to evade the instability in preliminary phase of learning. The purpose of this paper is to propose a novel approach for controlling unstable systems or systems with unstable equilibrium by model free controllers.

An existing controller (model‐based controller) with limited performance is used as a mentor for the emotional learning controller in the first step. This learning phase prepares the controller to control the plant as well as mentor, while it prevents any instability. When the emotional controller can imitate the behavior of model based one properly, the employed controller is gently switched from model based one to an emotional controller using a fuzzy inference system (FIS). Also, the emotional stress is softly switched from the mentor‐imitator output difference to the combination of the objectives. In this paper, the emotional stresses are generated once by using a nonlinear combination of objectives and once by employing different stresses to a FIS which attentionally modulated the stresses, and makes a subset of these objectives salient regarding the contemporary situation.

The proposed model free controller is employed to control an inverted pendulum system and an oscillator with unstable equilibrium. It is noticeable that the proposed controller is a model free one, and does not use any knowledge about the plant. The experimental results on two benchmarks show the superiority of proposed imitative and emotional controller with fuzzy stress generation mechanism in comparison with model based originally supplied controllers and emotional controller with nonlinear stress generation unit – in control of pendulum system – in all operating conditions.

There are two test beds for evaluating the proposed model free controller performance which are discussed in this paper: a laboratorial inverted pendulum system, which is a well‐known system with unstable equilibrium, and Chua's circuit, which is an oscillator with two stable and one unstable equilibrium point. The results show that the proposed controller with the mentioned strategy can control the systems with satisfactory performance.

In this paper, a novel approach for controlling unstable systems or systems with unstable equilibrium by model free controllers is proposed. This approach is based on imitative learning in preliminary phase of learning and soft switching to an interactive emotional learning. Moreover, FISs are used to model the linguistic knowledge of the ascendancy and situated importance of the objectives. These FISs are used to attentionally modulate the stress signals for the emotional controller. The results of proposed strategy on two benchmarks reveal the efficacy of this strategy of model free control.

Although supplier-initiated punishment is widely used to manage distributors’ opportunism, its spillover effect on unpunished distributors (i.e. observers) within the same distribution network remains under-researched. Specifically, this paper aims to investigate the curvilinear effect of punishment severity on an observer’s opportunism, and how such an effect is contingent on the observer’s network position.

This paper uses regression analysis with survey data gathered from 218 distributors in China’s automobile industry.

Punishment severity has an inverted U-shaped effect on the observers’ opportunism, and such effect is weakened by both the observers’ network centrality and their degree of dependence on the supplier.

The findings should encourage suppliers to focus more on the spillover effects of punishment on observers. To this end, the supplier must deliberately initiate the appropriate level of punishment severity against its distributors because an inappropriate level of punishment severity (e.g. too lenient) may unexpectedly raise the unpunished observers’ level of opportunism. Moreover, the supplier should be fully aware that observers’ specific network positions may produce varying spillover effects of the punishment.

This study enriches the literature on channel governance by revealing the curvilinear mechanism through which punishment severity influences observers’ opportunism. By applying social learning theory to channel punishment research, this study unveils both the inhibitive learning and the imitative learning forces inherent in a single punishment event, and it delineates their joint effect on an observer’s opportunism. In addition, this study outlines the observer’s vertical and horizontal relationships within the distribution network and explores their contingent roles in determining the spillover effects of punishment.

This chapter introduces a new theoretical framework for developing emotion-related abilities according to the emotional intelligence (EI) construct definition of Mayer, Salovey, and Caruso (2006). The awareness, reflection, and management (ARM) model has been devised and demonstrates a triadic cycle of emotional ARM relating to affect, cognition, and behavior. The ARM model constitutes an approach to nurture emotion-related abilities (ability EI) and responds to criticism raised by Zeidner, Matthews, and Roberts (2009). The ARM Theory was corroborated by both learning theory and schools of counselling (SOC). The potential to develop emotion-related abilities in emotional awareness, reflection and reasoning, coping and management is discussed.

This study aims to investigate how firm capability can be accumulated with the inputs of learning efforts targeted at resolving barriers existing in the imitative innovation process. This paper takes imitative innovation as a process involving a few stages during which learning efforts are targeted at overcoming barriers existing within each process.

The multiple case study approach has been adopted to explore how Chinese manufacturing small and medium enterprises (SMEs) learn and increase their technological capabilities through a continuous process of product refinement and improvement based on imitative innovation. In particular, the authors accentuate the learning efforts that firms must make to cope with various technological barriers

It is revealed that during the initial stages of imitative innovation, the organizational learning of Chinese manufacturing SMEs is highly constrained by the limitations of their technological resources and capabilities. It is also found that original equipment manufacturers can play an important role in providing Chinese learners with both explicit and tacit technological knowledge.

This study investigates how firm capability can be accumulated with the inputs of learning efforts targeted at resolving barriers existing in the imitative innovation process. The multiple case study approach has been adopted to explore how Chinese manufacturing SMEs learn and increase their technological capabilities through a continuous process of product refinement and improvement based on imitative innovation that could add new and great value to this research area.

The equipment manufacturing industry, as a strategic industry of China, is experiencing a transition from imitative innovation to independent innovation. The achievements of independent innovation have not been as good as could have been expected. Based on evolutionary economics, the purpose of this paper is to explore the evolutionary path of the two innovation modes, respectively, and analyze the internal and external factors that hinder the mutation from imitative innovation routine to independent innovation routine. According to the results of the evolutionary game model, several policy suggestions are proposed to promote the transition from imitative innovation to independent innovation.

This paper is based on the concepts of evolutionary economics. Routine, mutation, path dependence and selection are included in the analysis of the evolutionary path of the two innovation modes. Especially, the evolutionary game model of innovation modes selection is established to explain how internal and external conditions work in the transition.

The paper explores the evolutionary path of the transition from imitative innovation to independent innovation in the equipment manufacturing industry of China, and analyses the obstacles and factors (internal path dependence, and the lack of benefit incentive and external mutation conditions such as fiscal support and intellectual property protection) that hinder the mutation from imitative innovation routine to independent innovation routine. The results of the evolutionary game model show that the pursuit of the benefit (innovation return or the profit), as an internal mutation condition, is the most fundamental motivation for independent innovation, while policy incentives, as the external mutation conditions, have a significant impact on the evolutionary transition. According to the results, several policy suggestions are proposed to promote the transition from imitative innovation to independent innovation.

Taking the equipment manufacturing industry as a particular object, this paper tries to explain the evolutionary path and the obstacle factors of the transition from imitative innovation to independent innovation from the perspective of evolutionary economics, involving routine, mutation, path dependence, selection, and so on. The evolutionary game model of innovation modes selection is established to investigate the influence of these factors.

The purpose of this paper is to explain the miraculous rise of the mobile phone industry in China in particular and China’s impressive industrial growth in recent decades in general.

This paper uses qualitative or story-telling approach for empirical analysis. Specifically, it uses case studies to illustrate the authors’ arguments.

Utilizing the theory of imitative strategies of latecomer firms and I.M. Kirzner’s concept of entrepreneurial alertness, this paper argues that adaptive entrepreneurs in China’s phone industry survive by being alert to profit opportunities, flexible and adaptable to the changing environments. With limited resources and low technological capabilities at the beginning, Chinese phone makers conduct replication via reverse engineering. Through entrepreneurial learning and imitation, they are able to make indigenous or incremental innovation. The modified models with functions compatible to different groups of consumers and sold at low prices are able to penetrate the low-end markets in the Third World nations.

The authors’ explanation on the success of China’s mobile phone industry sheds light on broader China’s industrial growth as a result of economic reform.

Most studies on China’s mobile phone industry focus on technological analysis, without acknowledging the role of entrepreneurship. This study fills the gap.

Intensified competitive, technological, and market pressures have made organizational learning a critical imperative in global strategy effectiveness. Firms can learn through experience and from three processes that involve other firms: imitation, grafting, and synergism. Interpartner learning has become critical, since experiential learning is insufficient for most firms. Responds to calls for a broadened role of marketing and synthesizes and extends research from organization behaviour and strategic management to the field of marketing to fuel further academic inquiry. Based on an extension of Chandler′s strategy‐structure‐performance paradigm, develops propositions on how the environment, organizational culture, strategy, and structure can affect a company′s use of interpartner learning and its effectiveness in learning through strategic alliances. Provides several managerial implications to help improve marketers′ abilities to compete effectively in today′s dynamic, global business environment.

The literature on knowledge transfer is dominated by a one-way transmission model logic where knowledge is captured and transferred from one source to another, assuming the source and receiver resemble each other and have some common knowledge. The social learning processes, what is learned and the phases and sequences of the developmental processes by which learning take place are more or less black boxed in the literature. This paper investigates the social dynamics of the formation and shaping of organizational practice from scratch in a greenfield organizational setting where no prior organizational practice exist.

The paper builds on a case study approach applied in two greenfield organizational settings. A descriptive process model is developed to analyze the translocation and sociogenesis of organizational practices.

A transfer-approach provides a too simplistic and narrow understanding of the process of “moving” organizational practices. Establishing an organizational practice can be described as a community of knowing “in the making” following various modes of cultural learning characterised by mutual adjustments, joint interactions, and alignment of shared understandings, and as such is more learned than transferred.

The process model developed in the paper provides a platform for better understanding, planning and execution of intra-firm knowledge transfer and regeneration.

The paper provides an in-depth empirical analysis of organizational practice generation from scratch emphasizing the social dynamics and co-construction of meaning when a collective capability is being acquired and built up.

Purpose – The purpose of this chapter is to suggest a dynamic framework to investigate foreign market mode choices of small- and medium-sized enterprises (SME) over time.

Design/methodology/approach – We introduce a dynamic economic perspective drawing on the behavioural Uppsala Internationalisation Model (UIM) and the economic Transaction Cost Economics (TCE) framework. Often stigmatised as being static, TCE can benefit from the dynamic nature of the UIM. The UIM framework, however, can benefit from the economic determinants of the TCE.

Findings – We test the framework and our hypotheses in a dataset of 206 internationally operating German SMEs with the two data points initial and subsequent mode choice in the same foreign market. Thereby we demonstrate the hypothesised shifting effects of asset specificity and learning on the chosen foreign market mode over time.

Originality/value: The contribution of this chapter is on the link between the UIM and TCE. Particularly for SMEs, dynamics are relevant due to limited international experience and the notion of efficiency is important due to resource constraints. The investigation along the two data points, initial mode and subsequent mode, provides new insights into the effects of asset specificity and learning over time.