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We discuss recent methodological advances in the NK modeling in the Strategy literature and analyze issues related to its current use including different implementation algorithms, relative versus absolute performance, establishing significance of simulation results and long- versus short-term performance measurements. To facilitate cross-pollination of ideas, we point to advances and extensions of the model developed in other fields that could be effectively utilized to answer Strategy-related questions. These include modeling the strength of interaction, varying the importance of decision elements, utilizing alternative functional forms, incorporating endogeneity in N and K parameters and embedding the NK model in a broader dynamic framework.

This paper aims to introduce a joint DEMATEL and NK methodology to develop a process model for introducing and implementing relational supply chain practices for low-carbon supply chains. Using this process model as a guide, insights into specific practices and how to implement these relational practices to achieve competitive advantage across organizations are introduced.

Low-carbon cooperation practices framework based on the relational view is developed. A methodology based on DEMATEL and the NK model is used to construct a sequential process model for introducing and implementing these relational practices. Empirical data from three manufacturing organizations in China are utilized to validate the model.

Initial results provide a sequence of relational practices for guiding those organizations and their suppliers for healthy and low-carbon development. Interdependencies between relational practices are analyzed and evaluated from four aspects. Insights into the broader application of the methodology and initial results from both a research and managerial perspective are presented, especially with consideration of the China, an emerging economy, context.

The methodology remains relatively abstract in nature, yet the tool can provide very useful interpretations and information for both researchers and practitioners.

This paper stipulates that in addition to internal operational practices, the relational practices between buyer and supplier may be equally important to achieve a low-carbon outcome, especially in supply chain setting. This paper also shows that not only the relational practice itself but also the implementation sequence of the relational practices can relate to performance. According to the authors’ initial results, organizations in this study should first develop product development cooperation, then exchange carbon knowledge and implement effective governance and last build a trust relationship with its suppliers for low-carbon cooperation.

This is one of the few approaches that directly evaluates and identifies the interdependencies among relational practices and to construct a process model for introducing and implementing low-carbon supply chain cooperation. It is also the first time that the NK model has been integrated with DEMATEL. Focusing on Chinese supply chain carbon emissions concerns is also a unique perspective.

Relationship management evolves with dynamic and complex environments of megaprojects. However, studies on the longitudinal measurement of relationship management performance for each stakeholder in dynamic and complex project environments are lacking. The purpose of this research is to propose an NK-network evolution model to evaluate stakeholder performance on relationship management in the development of megaprojects.

The model input includes the stakeholder-associated issues and stakeholders' relational strategies, the co-effects of which determine the internal effects of relationship management in megaprojects. The model processing simulates the stakeholder performance of relationship management under the dynamic and complex nature of megaprojects. The NK model shows the dynamic stakeholder interactions on relationship management, whereas the network model presents the complex stakeholder structures of the relationships between stakeholders and relevant issues. The model output is the evolution graph to reveal the weak stakeholder performance on relationship management in the timeline of the project duration.

The research finding reveals that all stakeholders experience the plunge of stakeholder performance of relationship management at the decision-making moment of the planning stage. Construction, environmental and pressure groups may experience the hardship of relationship management at the start of the construction stage. The government is likely to suffer difficulties in relationship management in the late construction stage. Local industry groups would face challenges in relationship management in the middle of the construction stage and handover stage.

The research provides a useful approach to measuring weak moments of relationship management for each stakeholder in various project phases, considering the dynamic and complex environments of megaprojects. The proposed model extends the current knowledge body on how to make project stakeholder analysis by modelling dynamic and complex environments of megaprojects, with bridging the knowledge domains of evolution modeling techniques and network methods.

It is critical for small and medium-scale enterprises (SMEs) to review and monitor sustainability performance indicators across three dimensions: economic, environmental and social to attain long-term competitiveness. SMEs lack a holistic perspective on sustainability; they are frequently hindered from contemplating environmentally favorable investments beyond what is legally needed. The purpose of this paper is to present a joint Decision-making trial and Evaluation Laboratory (DEMATEL) and NK methodology for developing a process model for introducing and implementing sustainable competitiveness practices for SMEs.

This study addresses the issue by adopting a sustainable competitiveness practices framework and applying a novel method that integrates DEMATEL and NK model for evaluating and developing the implementation path model for Indian manufacturing SMEs.

This paper also demonstrates that not only the relational practice itself but also the order in which the relational practices are implemented can be related to performance. According to the authors' preliminary findings, organizations in this study should first implement a social dimension, which includes sustainable leadership, knowledge sharing, etc., then an economic dimension like quality, sustainable innovations, etc., and finally environmental dimensions like green marketing, solid waste reduction, etc., with their management for competitiveness.

These findings offer some preliminary information as well as advice for managers and policymakers looking to integrate sustainable efforts.

This study asserts that not only the interdependent practice but also the sequence of implementation is important and can relate to the performance. The path result shows that the organization develops first sustainable design and product development (economic), sustainable leadership (social) and solid waste reduction (environmental) practices.

There is no such study that develops a process model for introducing and implementing sustainable competitiveness of SMEs which assesses and analyzes the interdependencies across relational behaviors, to the best of authors’ knowledge. The novelty of this work lies in integrating DEMATEL-NK model approach.

One of the most significant changes in monetary economics at the beginning of the twenty-first century has been the virtual disappearance of what was once a dominant focus, the role of money in monetary policy, and parallelly, the disappearance of the liquidity preference-money supply (LM) curve. Economists used to consider monetary policy with the help of the LM curve as part of the analytical framework which captures the demand for money. However, the workhorse model of modern monetary theory and policy, the New Keynesian Dynamic Stochastic General Equilibrium (DSGE) framework, only comprises the dynamic investment-savings (IS) curve, the New Keynesian (NK) Phillips curve, and a monetary policy rule. The monetary policy rule is generally known as the Taylor rule. It relates the nominal interest rate to the output-gaps and inflation-gaps, but typically not to either the quantity or the growth rate of money. This change in the modern monetary model reflects how the central banks make monetary policy now. This study provides a detailed discussion on the role of money in monetary policy formulation in the context of the NK and the New Monetarist perspectives. The pros and cons of abandonment of money or the LM curve from monetary policy models have been discussed in detail.

The objective of this study is to model and analyze the exploration‐exploitation dynamics of March's model of mutual learning in a complex environment. By enhancing the above mentioned model, the paper seeks to propose a new agent‐based model of mutual learning within an organization.

The paper replicates March's model of simulating learning within an organization using an agent‐based simulation approach, and extends it by modelling the problem space as a fitness landscape using Kauffman's NK model technique.

It was found that it is impossible to find a right balance between exploration and exploitation using the communication structure of March's model.

The proposed model could help create a virtual laboratory for experimenting organizations' behavior in a complex co‐evolving environment. This virtual laboratory may be used in the future to support the decision‐making process of managers and policy makers.

Designing the external environment as a fitness landscape helps in discovering what effect the environmental complexity has on the emerging balance between exploration and exploitation. It is the first study to design the environment of a model which analyzes the mutual learning between an organization and its members as a complex non‐linear space.

Purpose – This chapter illustrates how agent-based modeling (ABM) simulations may be incorporated into future emerging market research so as to build and strengthen existing and new theory. The area of strategy and organizations has used cellular automata, NK landscapes, and network simulations, but international business has rarely entertained their use. This is a loss for the area because emerging markets are rapidly growing and changing while research lags behind. Emerging markets are extremely complex environments best studied using simulations as complementary to existing research tools.

Design/methodology/approach – This chapter divides emerging market studies into three main areas including (1) foreign direct investment, (2) governance structures, and (3) international trade exporting. Through a discussion of the existing research in each of these areas, research opportunities applying ABM are identified. Illustrations allow explanation of the three agent-based simulation methods, as mentioned, based on previous ABM research in strategy and demonstrate how ABM may be applied to future emerging market studies.

Findings – A main insight is that ABM could lead to the rapid catch-up and improvement of emerging market research, especially when data for empirical work is limited, nonexistent, or prohibitively expensive to gather. ABM does not replace empirical work, but past research can be clarified and early theory developed so that if data becomes available, empirical work can be sharp and quickly realized having strong theoretical guidance.

Originality/value – This work, aimed at emerging market researchers, uniquely highlights why and how simulation tools are required and may be used in emerging market research.

Marcet, and Nicolini (2003) and Milani (2014) demonstrate within the adaptive learning framework that a forecast error-based endogenous gain mechanism that switches between constant gain and decreasing gain may be more effective than the former alone in explaining time-varying parameters. In this paper, we propose an alternative endogenous gain scheme, henceforth referred to as CEG, that is based on recent coefficient estimates by the economic agents. We then show within a controlled simulation environment that CEG outperforms both constant gain learning as well as the aforementioned switching gain algorithm in terms of mean squared forecast errors (MSFE). In addition, we demonstrate within the context of a New Keynesian model that forecasts generated under CEG perform better in certain dimensions, particularly for inflation data, compared to constant gain learning. Combined with the fact that the proposed gain scheme ports easily to existing likelihood based inferential techniques used in constant gain learning, it is readily applicable to richer, more dynamic economic models.

This theoretical paper presents, extends and integrates a number of systems and evolutionary concepts, to demonstrate their relevance to manufacturing strategy formulation. Specifically it concentrates on fitness landscape theory as an approach for visually mapping the strategic options a manufacturing firm could pursue. It examines how this theory relates to manufacturing competitiveness and strategy and proposes a definition and model of manufacturing fitness. In accordance with fitness landscape theory, a complex systems perspective is adopted to view manufacturing firms. It is argued that manufacturing firms are a specific type of complex system – a complex adaptive system – and that by developing and applying fitness landscape theory it is possible to create models to better understand and visualise how to search and select various combinations of capabilities.

Innovation is essential for business growth that cannot be created by financial investment alone but with intellectual capital (IC). IC management is critical for the organization, yet many firms do not have proper strategies. The purpose of this paper is to present an effective planning model that enables organizations to raise their innovation capability through strategic IC management.

Two R & D groups in an information and communication technology organization are examined with an IC-based complex system model (wiNK model). The model includes a descriptive part that determines the current IC state of the group and a prescriptive part that identifies the IC strategies for optimal innovation performance.

This paper demonstrated that the wiNK model is an easy-to-use prescriptive tool using IC to optimize innovation performance.

The IC state of an organization is dynamic and changing. Regular IC examinations are necessary to track its changes.

This IC-based model can be applied individually without benchmarking with other organizations. The IC location map can be documented as an organization DNA profile for the organization. The tracking of the continuous and dynamic changes is beneficial to the organization and its stakeholders. It can be served as both planning and evaluation tools.

This study offers a systemic approach to the interdisciplinary study of organizational behavior and innovation with a pioneering use of an IC framework. It contributes to the field of innovation management with a new attempt of its kind to integrate management research and mathematical simulation model.