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Conflicts among top management team (TMT) members have a significant impact on sustainable development of family enterprises in China. The complex attributes of different kinds of conflicts in a TMT have dual effects on firm performance and its stability. Thus, avoiding conflicts in a TMT through a systematic conflict management strategy is very important. This paper aims to therefore investigate how to maximize the performance and income level of the TMT in family enterprises through managing conflict systematically, while adopting the best conflict coping strategies.

In this study, the authors apply conflict coping strategies as a useful tool of conflict management and propose five kinds of dynamic conflict coping strategies among TMT members. Repeated game and multi-agent simulation by computer experiment are used to dynamically simulate the rules and evolution of individual conflict coping strategy choices.

It is found that with the passage of time, different conflict coping strategies have different effects on earnings of individuals and teams at different conflict levels. It is also revealed that conflict coping strategies affect not only the earnings of individuals and teams but also their distribution; it also reflects the conflict level in TMT of a family enterprise but in reverse.

This study contributes to the existing literature on conflict management in relevance to the choice and revolution of conflict coping strategies in a Chinese business culture context. It focuses on strengthening the unity and cooperation of TMT members. Controlling the conflict level of TMT members at a reasonable level, investigating the primary cause of conflict and identifying its nature lead to better performance of the TMT and the sustainable development of Chinese family enterprises. Based on these outcomes, different conflict coping strategies can be appropriately used to solve TMT conflicts.

This study aims to develop a decision making model and approach for logistics planning problem which naturally involves two or more decision units at a hierarchical structure. Such a decision problem in practice often involves uncertain and imprecise factors with the parameters of a bilevel decision model, either in the objective functions or constraints.

This paper proposes a fuzzy bilevel decision making model for a general logistics planning problem and develops a fuzzy number based Kth‐best approach to find an optimal solution for the proposed fuzzy bilevel decision problem.

The proposed approach illustrates an optimal solution in logistics management, which meets maximally/minimally the objectives of both supplier and distributor (or other parts of the logistics chain). The proposed fuzzy bilevel decision approach can have a wide range of logistics management applications.

The decision model, approach and system will be further tested for some more complicated real cases in the future.

The proposed fuzzy bilevel decision model and approach are new, which offer theoretical and practice help to logistics management.

Markov chains and queuing theory are widely used analysis, optimization and decision‐making tools in many areas of science and engineering. Real life systems could be modelled and analysed for their steady‐state and time‐dependent behaviour. Performance measures such as blocking probability of a system can be calculated by computing the probability distributions. A major hurdle in the applicability of these tools to complex large problems is the curse of dimensionality problem because models for even trivial real life systems comprise millions of states and hence require large computational resources. This paper describes the various computational dimensions in Markov chains modelling and briefly reports on the author's experiences and developed techniques to combat the curse of dimensionality problem.

The paper formulates the Markovian modelling problem mathematically and shows, using case studies, that it poses both storage and computational time challenges when applied to the analysis of large complex systems.

The paper demonstrates using intelligent storage techniques, and concurrent and parallel computing methods that it is possible to solve very large systems on a single or multiple computers.

The paper has developed an interesting case study to motivate the reader and have computed and visualised data for steady‐state analysis of the system performance for a set of seven scenarios. The developed methods reviewed in this paper allow efficient solution of very large Markov chains. Contemporary methods for the solution of Markov chains cannot solve Markov models of the sizes considered in this paper using similar computing machines.

Investigating the characteristics of the transformation of China's agricultural growth and the institutional reforms during the whole transition period in the 1980s will help to understand China's economic and agricultural reform and offer some successful experiences to other developing countries. The purpose of this paper is to answer the following questions: Has China's agricultural output experienced a structural break toward a more stable state? When did the break point happen? What factors did play key roles during the transformation?

This study applies the nonlinear structural break regime switching analysis which includes two different models: one with the structural break only in the variance and one with the structural break in both shift parameters and the variance.

The empirical results showed that it took five years for agricultural development in China to finish the reform that began in 1980. The agricultural growth had become more stable after the break point which was around 1985‐1986. Both the primary industry and agricultural sector had transformed from a “low growth rate, high volatility” state to a “high growth rate, low volatility” state. Among the different driving factors, the Household Responsibility System (HRS) and preferential policies for agricultural products played the most important roles in the early stage of the economic reform.

The authors first study the structural break of China's agricultural output by the regime switching model. From the empirical results, the structural break point was determined to be around 1985‐1986, after which China's agricultural output had become more stable.

In the ongoing Industry 4.0 era, the internet of things (IoT) has become a global race in the current information technology climate. However, little is understood about the pattern of the global competitive arena or its players’ set up strategy. This paper aims to attempt to compare the cross-country development of the IoT industry. In particular, from the lens of industrial policies, this paper highlights how China, as a latecomer, gains momentum to emerge victorious as a leader in this global race.

Based on five dimensions, namely, foundation, trajectory, characteristic, application and social impacts, this paper presents the evolution of the IoT industry in the USA, European Union, Japan, South Korea and China. From the lens of windows of opportunities, this paper analyzes how China seized the opportunity with the emerging technology, thereby, enabling it to create a competitive advantage.

This paper finds that China’s IoT industry takes a distinct trajectory, where scientific institutions, enterprises and governmental policies collaborate in unison, during which the first phase was when scientific research institutions introduced the conceptual new technology from developed countries. This technological foresight allowed for the identification and realization of critical technologies, strategic fields and technological trends. The second phase was the continuous dissatisfaction of capabilities of critical technologies, which creates disruptions that significantly altered the environment of technological competition.

This paper provides a comprehensive and comparative review of IoT industries in a global context, with the critical and influential role of the windows of opportunities on those enterprises lagging behind the technological wave.

Environmental non-governmental organizations (ENGOs), one of the major forces in environmental protection, have developed rapidly in the past few years, especially in developing countries such as China. This paper aims to reveal how the ENGOs select their focuses, specifically if they only concentrate on one focus or on contexts in which they obtain various focuses and the motivations behind their choosing strategies.

The current research interviewed 103 leaders of ENGOs covering every province in mainland China and adopts existing theories of NGOs alongside diversification strategy from a management perspective.

The results showed that most Chinese ENGOs now tend to be diversified but face different challenges. This research highlights the importance of ENGOs’ resources and capacities in facing current challenges and suggests directions to improve their diversification strategy.

This research adds value to the research of environmental NGOs and gives suggestions to environmental NGO practitioners, in particular to those in emerging markets.

Buoyed by the desire to reduce carbon dioxide emissions and develop sustainable urban transportation, the dockless bike-sharing industry boomed in China during 2017–2018. To the surprise of the stakeholders, this industry dramatically ebbed in 2019. The dockless bike-sharing system deviated from a problem-solver to a troublemaker in a very short period. The oversupplied and excessively discarded shared bikes caused a big waste of resources and serious pollution to the environment. In this paper, the decision-making of the key players of the industry, i.e. business operators, investors, customers and government, is analyzed through the lens of the cognitive bias. This paper aims to illuminate the process of how this innovative transport solution turned to a disastrous ending, which caused damage to urban environment and financial loss to investors.

In this study, a qualitative analysis based on the rich secondary data sources is conducted. A rich amount of qualitative data including news reports, government policies, consulting reports and companies’ annual reports etc. were collected.

The study shows, in the product introduction period, the government, business operators, investors and consumers fell into the cognitive bias. They over focused on the positive side such as high-tech, eco-friendly, convenient image of the dockless bike-sharing solution. Thereby, the key stakeholders made irrational decisions in product adoption and management. This study moves toward increasing key stakeholders’ awareness of the imperative to reduce these biases when promoting eco-innovations. This study also recommends a prudent attitude with a rational and comprehensive thinking style in dealing with eco-innovation and the emerging sharing economy.

To solve the cognitive biases, this study recommends that people use rational decision-making style to examine and adopt the dockless bike-sharing solutions. Practical recommendations to tackle the existing recycling crisis of the dockless bike-sharing industry are also discussed.

This study aims to investigate the historical technological catch-up processes with particular attention to the role of windows of opportunity (WoO). As Industry 4.0 becomes the benchmark of many latecomer countries, this paper may provide guidelines to both policymakers and business practitioners. For clarifying how to catch up with the incumbents and leaders, the authors summarize the lessons based on the historical observations to conclude the pathways for latecomers who aim to reduce the gaps to leaders and manage catch-up. This study enriches the literature of catch-up from a holistic view with fresh insights into how and where to catch up.

The authors analyze the technological catch-up processes emerged in advanced industrial powers, newly industrialized countries (NICs) and emerging economies (EEs). By categorizing the countries into three kinds, they summarize the processes of catch-up along with the industry evolutions. Moreover, they explore how WoO may facilitate the catch-up processes from one stage to the next in above-mentioned categories. Doing so helps to further examine how technological catch-up and WoO interplay and differ among countries. Then, the authors further investigate the latecomers and incumbents and conclude the target choosing, path setting and direction selecting when implementing a catch-up strategy.

This study shows that technological catch-up emerged first in advanced industrial powers (AIPs), then in NICs and recently in EEs. Technological catch-up processes in AIPs and NICs take longer time than those in EEs. WoO from policy, market and technology usually collaboratively facilitate the technological catch-up processes in AIPs and NICs. However, in EEs, single WoO can lead to a successful catch-up. The authors further summarize the directions and pathways of catch-up: AIPs and NICs are normally considered by some latecomers to catch up with, while EEs are not.

This study is among the first to systematically review the historical developments of industry evolutions by focusing the technological catch-up based on the different categories of countries: AIPs, NICs and EEs. Moreover, the authors are also among the first few integrating the WoO and technological catch-up processes in different kinds of countries. To the best of the authors’ knowledge, they are also one of the pioneers who highlight the directions and pathways of latecomers and target choosing to catch up with. They also explore the possibility of selecting EEs as catch-up targets.

This paper aims to study whether the adoption of an entry mode that fits the social trust level contributes to the improvement of foreign subsidiary performance.

The authors used the Probit model, linear regression, strategic fit approach and instrumental variable regression. The sample was made up of 11,095 observations of Chinese multinational enterprises' foreign subsidiaries in 54 countries from 2005 to 2020.

The results suggest that a host country with a high level of social trust results in fewer difficulties for enterprises in gaining legitimacy, thus foreign subsidiaries are more likely to select the wholly owned entry mode. The results also show that the effect is contingent on the formal institutions of host countries. The results of the mechanism test suggest that social trust influences subsidiaries' entry mode choice by reducing information asymmetry, costs and uncertainty risks. This study further finds that selecting a fit entry mode based on social trust level substantially increases foreign subsidiary performance and this effect is more significant when multinational enterprises (MNEs) are state-owned enterprises (SOEs).

The main limitation of this paper is its only focus on foreign subsidiaries of Chinese MNEs, which may limit the generalizability of research findings.

This paper responds to the call for conducting more research on informal institutions. Findings highlight the critical role of informal institutions in helping foreign subsidiaries in gaining legitimacy in host countries and the essentialness of selecting a fit entry mode based on the informal institutions of host countries for the development of foreign subsidiaries.