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1. To improve the causality analysis performance, a novel causality detector based on time-delayed convergent cross mapping (TD-CCM) is proposed in this work. 2. Identify the root cause of plant-wide oscillations in process control system.

A novel causality analysis framework is proposed based on denoising and periodicity-removing TD-CCM (time-delayed convergent cross mapping). We first point out that noise and periodicity have adverse effects on causality detection. Then, the empirical mode decomposition (EMD) and detrended fluctuation analysis (FDA) are combined to achieve denoising. The periodicities are effectively removed through singular spectrum analysis (SSA). Following, the TD-CCM can accurately capture the causalities and locate the root cause by analyzing the filtered signals.

1. A novel causality detector based on denoising and periodicity-removing time-delayed convergent cross mapping (TD-CCM) is proposed. 2. Simulation studies show that the proposed method is able to improve the causality analysis performance. 3. Industrial case study shows the proposed method can be used to analyze the root cause of plant-wide oscillations in process control system.

1. A novel causality detector based on denoising and periodicity-removing time-delayed convergent cross mapping (TD-CCM) is proposed. 2. The influences of noise and periodicity on causality analysis are investigated. 3. Simulations and industrial case shows that the proposed method can improve the causality analysis performance and can be used to identify the root cause of plant-wide oscillations in process control system.

This study explores the interplay among climate change, economic growth and energy consumption in G20 countries by considering the role of green energy.

This study uses various empirical tools to determine the association between carbon emissions, economic growth, renewables, non-renewables, population and urbanization for a panel of G20 countries between 1990 and 2014.

Empirical outcomes from various empirical tools reveal a positive and significant impact of economic growth, non-renewable energy consumption and urbanization on carbon emissions, and their increase will further lead to the deterioration of environmental quality. The elasticity coefficient of renewable energy coefficient is negative and significant implying an increase in its consumption will improve environmental quality. Panel causality test results reveal the existence of both short-run and long-run causality among the variables. Therefore, results infer that a reduction in the consumption of non-renewable and substitution with renewables will have a significant impact on carbon emission mitigation.

Through this study, the authors suggest the sustainable use of renewables as they are sustainable, secure, efficient, environmentally justifiable and economically viable sources of energy. Therefore, replacing traditional non-renewables with modern renewables has the potential in avoiding the dangerous impacts of greenhouse gases (GHGs) particularly in the G20 countries. This paper intends to guide policymakers regarding the environmental quality and renewable energy consumption required to hold back the fossil fuel dependence for a cleaner and greener planet.

Modern intra- and inter-organizational arrangements require firms to cross boundaries, but this process represents a crucial and complex challenge, especially for organizations that face pluralistic tensions. Scholars still lack sufficient knowledge of how boundaries can be crossed and what kind of boundary management is necessary within pluralistic contexts. This paper aims to enrich the understanding of these issues by exploring how strategy maps can be mobilized and used as boundary objects to elicit boundary-spanning practices that foster cross-boundary collaboration in pluralistic organizations.

This paper employs the case study methodology to capture the dynamics of cross-boundary management elicited by the use of a strategy map within a pluralistic social/healthcare organizational context.

This study identifies four practices of boundary spanning (i.e. identifying and crossing problem boundaries, orchestrating collective responsibilities, acknowledging a common understanding of convergent values and goals, and evolving into action) in the analysed pluralistic context and investigates the conditions under which cross-boundary interactions can mobilize a shared zone of knowing via strategy maps.

This paper suggests a complex (and not linear) processual model of boundary management in pluralistic contexts in which the use of the strategy map mobilizes a dynamic of centrifugal and centripetal movements which engage plural actors in a shared site of collaborative knowing. The study contributes to a conceptualization of boundary management in pluralistic contexts as a progressive social accomplishment.

The purpose of this paper is four‐fold: to highlight the emerging stream of team interaction in research; to present a methodology to measure and map out team interaction; to compare team interaction between US and Spanish MBA teams so as to identify any differences between the two cultures; and to propose team interaction focused programs in educational institutions and organizations.

The study used a quantitative research design and administered a survey that captures ten aspects of team interaction in four major dimensions to 32 US MBA teams (n   =   176) and 31 Spanish MBA teams (n   =   152) engaged in the same group exercise and used ANOVA analysis to compare the two groups.

The findings show that the US and Spanish teams differ only in the diverging dimension of their actual team interaction (F   =   26.42, p  <  0.000). A comparative analysis of the ideal team interaction show that both MBA samples desire increased levels of the diverging (F   =   37.7, p <  0.000) and recursiveness (F   =   23.65, p   <   0.000) dimensions.

The study provides a methodology and highlights the significance of employing a team interaction perspective for team learning and development programs in educational and organizational settings.

The paper presents team interaction along four major dimensions – divergent, convergent, status and recursiveness – and provides a brief overview of the theory of Conversational Learning. The approach used in this study contributes to this emerging stream of team research and presents the significance of focusing on the social‐emotional aspects of team interaction in educational and organizational team development programs.

This conceptual chapter, based on literature review, aims to elaborate an integrative approach to the study of cultural differences/convergence within and across the borders of Eastern European countries, in order to conciliate the two theoretical perspectives prevailing in the debate on cultural diversity management: the emic and the etic theoretical stances.

This chapter tries to propose a ‘third way’ to cultural analysis that includes the two perspectives, within a wider and complex multiparadigmatic and pluralistic framework, with a specific focus on Eastern European cultures.

Eastern European countries represent a sort of ideal construction that includes several countries, characterized by different trajectories and heritages: Catholic versus Orthodox religions, Slavic versus non-Slavic identities, Capitalistic versus Former Soviet Union values, etc. In spite of the renovated interest towards the regional area of Eastern Europe, empirical data show that there are significant differences in the distribution of cultural values, among national clusters. On the other hand, it is very difficult to say that Eastern European countries should be considered separate sociocultural entities, without any point of contact among other.

The main assumption of this chapter is that to better understand sociocultural dynamics within and across Eastern European countries, it is necessary to go beyond cultural mapping, in search of a more complex theoretical and methodological approach.

This approach may help to conciliate the apparent paradoxes emerging from the comparison of data related to Eastern European national clusters, providing a more complex and deep view of cultural phenomena, within and outside organizational and national boundaries.

Gives introductory remarks about chapter 1 of this group of 31 papers, from ISEF 1999 Proceedings, in the methodologies for field analysis, in the electromagnetic community. Observes that computer package implementation theory contributes to clarification. Discusses the areas covered by some of the papers ‐ such as artificial intelligence using fuzzy logic. Includes applications such as permanent magnets and looks at eddy current problems. States the finite element method is currently the most popular method used for field computation. Closes by pointing out the amalgam of topics.

Convergence in the life sciences and health care industries – the combining of two or more of drugs, diagnostics and devices to create an improved health care product – is leading to new opportunities for business growth and product differentiation. This report aims to examine the issues around convergence, including the drivers, risks and regulatory issues.

This report is based on industry and literature reviews and builds on research carried out by Deloitte Research on the life sciences and health care industry.

The paper finds that technological advances, evolving health care needs and shifting market conditions are creating favourable conditions for convergence. Developing convergent technologies, however, has risks and uncertainties that life sciences companies need to consider along with regulatory issues. Cross‐sector partnerships are becoming more of a necessity and reality for health care firms, who have to be aware of the many operational and ownership issues involved.

Market pressures and opportunities are motivating life sciences firms of all types and sizes to invest in convergence. Convergent technology is transforming cardiovascular care, orthopedic treatment, tissue wound management and other clinical areas by creating solutions that are less invasive, less painful, more patient‐specific, more convenient and sometimes more affordable. Consequently, players from all sectors are entering the competition for R&D assets, setting up new rivalries and alliances.

In mapping the many factors surrounding convergence in the life sciences industry, this report enables firms to evaluate their own opportunities and priorities. It proposes a framework that companies can use to decide which pathway to convergence is best for them.

Based on a review of multiple literatures, a comprehensive content domain of essential intercultural competencies for effective global leaders is presented. This domain is then used to guide the development of the Global Competencies Inventory (GCI), a 160-item self-report measure that assesses the degree to which individuals possess the intercultural competencies that are associated with global leader effectiveness. Using sample sizes ranging from several hundred to nearly 9,000 subjects, evidence from several studies is presented showing the GCI to have convergent validity, predictive validity, and freedom from demographic and ethnic subgroup biases. Implications for theory and future research are also discussed.

To anticipate science and technology (S&T) changes and shifts in the competitive environment for the preparation of strategic development in an organization, this paper aims to address a structured analysis method for future technology trajectories and interactions by mapping and associating the future technology themes in foresight reports with a state‐of‐the art technology classification system. The objective of this paper is to develop an integrative method for systematically clustering, analyzing and visualizing the path for technology development and transformation.

Delphi topics related to sustainable energy were collected from strategic foresight reports of Japan, South Korea and China, and used as sources for future technology themes analysis. A standard mapping taxonomy based on international patent classification system was used to map out the technology concept described in these future technology themes. Technology interactions can be identified through a causal effect analysis during the mapping, and the results among selected countries are cross‐compared and visualized in an aggregated view.

By this standard mapping taxonomy and structured analysis, future technology themes in strategic foresight reports from countries in focus are systematically mapped and integrated for viewing future technology options and interactions. Similarities and discrepancies for prospecting the future technology trajectory among these countries are also identified.

It would be a significant contribution if this structured analysis could be applied more broadly across different geographic regions or across research areas in foresight reports. This research may help to solve the practical difficulties faced during the secondary analysis of foresight studies in foresight preparatory studies by providing a consistent classification framework to make comparison and aggregation of future technology options from different countries/regions. Also, this classification framework can provide a bridge for linking with current technology performance such as patent productivity or quality and help in identifying the gaps between the probable future changes in S&T and the current capability.

The integrative method in this research provides a way to combine both the advantage of strategic technology foresight and competitive technology intelligence by utilizing the results deriving from the former as targets for analysis and the analytic practice deriving from the latter to identify the possible competitive or cooperative landscapes in the future.

A recent focus of attention in the new product development literature has been the need to quicken the process of development in order to decrease “time‐to‐market”. Various amendments to the traditional activity‐stage models have been proposed, but few deal directly with the key aspect of speedier time to market, namely cross‐functional information management and horizontal management of the new product development process. Expands this argument and proposes “multiple convergent processing” as an appropriate conceptual framework in which to view new product development tasks. The anatomy of multiple convergent processing is examined in greater detail, showing how its focus on interaction among several parties and information exchange is an appropriate manner in which to encourage both the necessary technical and marketing inputs to the NPD process and the speed necessary for successful competitive new products. Finally, key elements of network analysis are proposed as an effective conceptual framework in which to study new product development.